Quaternary ammonium compounds (QAC) are high production chemicals used in many commercial and household disinfection products. During the SARS-CoV-2 (COVID-19) pandemic, QACs were included on lists of COVID-19 disinfectants. Increased QAC use could lead to higher levels of QACs in wastewater treatment plant (WWTP) effluents, which could subsequently be released into the environment. To evaluate QACs in WWTP effluent, three WWTPs in the northeastern United States were monitored from May 2020 through August 2021. Target QACs included six benzylalkyldimethyl ammonium compounds (BAC), three dialkyldimethyl ammonium compounds (DADMAC), two ethylbenzylalkyldimethyl ammonium compounds (EBAC), and benzethonium. At least one QAC was detected in every sample with individual concentrations up to 1600 ng L−1. BAC-C14 was detected most frequently, found in 93% of effluent samples; BAC-C12, BAC-C16, EBAC-C12 and EBAC-C14 were all detected in greater than 80% of samples. Few temporal patterns were observed in QAC concentrations with respect to weekly COVID-19 cases: at WWTP 2, DADMAC-C8:C10 and DADMAC-C10 were positively correlated, and DADMAC-C8 negatively correlated. There were several seasonal trends at WWTP 1, including significant differences of ƩDADMAC, which were higher in fall than summer; ƩBAC was higher during the fall than both spring and summer; and ƩQAC where higher during the fall than spring.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2024.143753","usgsCitation":"Hladik, M.L., Gross, M.S., Black, G.P., Kolpin, D., Masoner, J.R., Phillips, P.J., Bradley, P., and Smalling, K., 2024, Temporal concentrations of Quaternary ammonium compounds in wastewater treatment effluents during the COVID-19 pandemic, 2020–2021: Chemosphere, v. 368, 143753,8 p., https://doi.org/10.1016/j.chemosphere.2024.143753.","productDescription":"143753,8 p.","ipdsId":"IP-164654","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":489869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2024.143753","text":"Publisher Index Page"},{"id":464347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"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":918907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Michael S.","contributorId":340328,"corporation":false,"usgs":false,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":81579,"text":"California Department of Food and Agriculture","active":true,"usgs":false}],"preferred":false,"id":918908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Gabrielle Pecora 0000-0002-1578-742X","orcid":"https://orcid.org/0000-0002-1578-742X","contributorId":303108,"corporation":false,"usgs":true,"family":"Black","given":"Gabrielle","email":"","middleInitial":"Pecora","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":205668,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918913,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smalling, Kelly 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918914,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273866,"text":"70273866 - 2024 - Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape","interactions":[],"lastModifiedDate":"2026-02-10T15:13:38.843978","indexId":"70273866","displayToPublicDate":"2024-11-19T08:03:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17157,"text":"Frontiers in Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape","docAbstract":"Soil moisture maps provide quantitative information that, along with climate and energy balance, is critical to integrate with hydrologic processes for characterizing landscape conditions. However, soil moisture maps are difficult to produce for natural landscapes because of vegetation cover and complex topography. Satellite-based L-band microwave sensors are commonly used to develop spatial soil moisture data products, but most existing L-band satellites provide only coarse scale (one to tens of kilometers grid size), information that is unsuitable for measuring soil moisture variation at hillslope or watershed-scales. L-band sensors are typically deployed on satellite platforms and aircraft but have been too large to deploy on small uncrewed aircraft systems (UAS). There is a need for greater spatial resolution and development of effective measures of soil moisture across a variety of natural vegetation types. To address these challenges, a novel UAS-based L-band radiometer system was evaluated that has recently been tested in agricultural settings. In this study, L-band UAS was used to map soil moisture at 3–50-m (m) resolution in a 13 square kilometer (km2) mixed grassland-forested landscape in Sonoma County, California. The results represent the first application of this technology in a natural landscape with complex topography and vegetation. The L-band inversion of the radiative transfer model produced soil moisture maps with an average unbiased root mean squared error (ubRMSE) of 0.07 m3/m3 and a bias of 0.02 m3/m3. Improved fine-scale soil moisture maps developed using UAS-based systems may be used to help inform wildfire risk, improve hydrologic models, streamflow forecasting, and early detection of landslides.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frsen.2024.1337953","usgsCitation":"Stern, M.A., Ferrell, R., Flint, L.E., Kozanitas, M., Ackerly, D., Elston, J., Stachura, M., Dai, E., and Thorne, J.H., 2024, Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape: Frontiers in Remote Sensing, v. 5, 1337953, 12 p., https://doi.org/10.3389/frsen.2024.1337953.","productDescription":"1337953, 12 p.","ipdsId":"IP-159618","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":499941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frsen.2024.1337953","text":"Publisher Index Page"},{"id":499713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Sonoma County","city":"Santa Rosa","otherGeospatial":"Mayacamas Mountains, Pepperwood Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.71354880264356,\n 38.57616137564548\n ],\n [\n -122.71354880264356,\n 38.565372954642044\n ],\n [\n -122.68982536456959,\n 38.565372954642044\n ],\n [\n -122.68982536456959,\n 38.57616137564548\n ],\n [\n -122.71354880264356,\n 38.57616137564548\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2024-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrell, Ryan","contributorId":366124,"corporation":false,"usgs":false,"family":"Ferrell","given":"Ryan","affiliations":[{"id":37798,"text":"Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":955320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":306090,"corporation":false,"usgs":false,"family":"Flint","given":"Lorraine","email":"","middleInitial":"E.","affiliations":[{"id":66369,"text":"Earth Knowledge, Inc.","active":true,"usgs":false}],"preferred":false,"id":955321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kozanitas, Melina","contributorId":366125,"corporation":false,"usgs":false,"family":"Kozanitas","given":"Melina","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":955322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerly, David","contributorId":139541,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":955323,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elston, Jack","contributorId":334719,"corporation":false,"usgs":false,"family":"Elston","given":"Jack","affiliations":[{"id":80215,"text":"Black Swift Technologies","active":true,"usgs":false}],"preferred":false,"id":955324,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stachura, Maciej","contributorId":334720,"corporation":false,"usgs":false,"family":"Stachura","given":"Maciej","affiliations":[{"id":80215,"text":"Black Swift Technologies","active":true,"usgs":false}],"preferred":false,"id":955325,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dai, Eryan","contributorId":366129,"corporation":false,"usgs":false,"family":"Dai","given":"Eryan","affiliations":[{"id":87362,"text":"Weather Stream Inc.","active":true,"usgs":false}],"preferred":false,"id":955326,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorne, James H.","contributorId":173762,"corporation":false,"usgs":false,"family":"Thorne","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":955327,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260969,"text":"ofr20241063 - 2024 - High-Flow Experimental Outcomes to Inform Everglades Restoration, 2010–22","interactions":[],"lastModifiedDate":"2024-12-02T18:42:31.825148","indexId":"ofr20241063","displayToPublicDate":"2024-11-18T13:52:27","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1063","displayTitle":"High-flow experimental outcomes to inform Everglades restoration, 2010–22","title":"High-Flow Experimental Outcomes to Inform Everglades Restoration, 2010–22","docAbstract":"The Decompartmentalization Physical Model (DPM) was an experimental facility in the central Everglades operated between 2010 and 2022 to release high flows through a levee-enclosed area of degraded ridge and slough wetland that had been isolated from flow for sixty years. The purpose of DPM experimental program was to make measurements before, during, and after seasonal high-flow releases that could help guide the Congressionally authorized Everglades restoration project known as the Decompartmentalization and Sheet Flow Enhancement Project.
The DPM facility was operated by the South Florida Water Management District, with the U.S. Geological Survey (USGS) and several universities participating in experimental design and leading aspects of the research. The USGS research at DPM focused on measuring high-flow hydraulics and its sedimentary and ecological responses in downstream wetlands. USGS investigated interactions between flow and vegetation and microtopography that influenced flow velocity and water depth, bed shear stress, sediment entrainment, and the resulting downstream transport of suspended sediment and fate of particle-associated phosphorus. USGS also investigated high-flow changes in water-column mixing and gas exchange and resulting effects on metabolism of the aquatic ecosystem (primary productivity and respiration). USGS also investigated effects of built structures such as levee gaps that were constructed to reconnect levee-enclosed basins. This report describes the methods and results of the USGS-led data collection at DPM.
The USGS studies at DPM have identified factors that influence effectiveness of restoration, specifically how high-flow releases maximize sheet flow and affect sediment and nutrient dynamics while minimizing undesirable outcomes caused by past management that bypassed wetlands by conveying polluted water through canals to ecologically sensitive downstream areas. The DPM high-flow experiments reconnected the Water Conservation Area 3A and Water Conservation Area 3B basins, and it therefore has become a central feature of the restoration’s Decompartmentalization and Sheet Flow Enhancement Project. DPM’s scientific findings have already influenced the adaptive management of Everglades restoration in guiding elements of the final design and implementation of the Central Everglades Planning Project-South. In addition to serving Everglades restoration, the DPM has the potential to influence similar adaptive management programs throughout the nation’s network of federal and state-managed river corridors, floodplains, and riparian ecosystems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241063","usgsCitation":"Harvey, J., Choi, J., Larsen, L., Skalak, K., Maglio, M., Quion, K., Swartz, A., Lin, J.T.Y., Gomez-Velez, J., and Schmadel, N., 2024, High-flow experimental outcomes to inform Everglades restoration, 2010–22: U.S. Geological Survey Open-File Report 2024–1063, 72 p., https://doi.org/10.3133/ofr20241063.","productDescription":"Report: xi, 72 p.; 3 Data Releases","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-148372","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":464267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1063/coverthb.jpg"},{"id":464268,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1063/ofr20241063.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":464271,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241063/full"},{"id":464270,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1063/images"},{"id":464269,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1063/ofr20241063.XML"},{"id":464274,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9SQ85","text":"USGS Data Release","description":"Harvey, J.W., Choi, J., Quion, K., Lin, J.T., Swartz, A., Larsen, L.G., Haase, K., and Schmadel, N., 2024, High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism: U.S. Geological Survey, data release, https://doi.org/10.5066/P9A9SQ85.","linkHelpText":"- High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism"},{"id":464272,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQYB1O","text":"USGS Data Release","description":"Harvey, J.W., and Choi, J., 2022, Biophysical Data for Simulating Overland Flow in the Everglades: U.S. Geological Survey data release, https://doi.org/10.5066/P9DQYB1O.","linkHelpText":"- Biophysical Data for Simulating Overland Flow in the Everglades"},{"id":464273,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SP0HM1","text":"USGS Data Release","description":"Harvey, J.W., Choi, J., Larsen, L., Skalak, K., Maglio, M.M., Quion, K.M., Lin, T., Psaltakis, J.W., Buskirk, B.A., Swartz, A.G., Lewis, J.M., Gomez-Velez, J.D., and Schmadel, N.M., 2022, High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9SP0HM1.","linkHelpText":"- High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023)"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.1076224101966,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 26.691819233104567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The loss of phosphorous (P) from the land to aquatic systems has polluted waters and threatened food production worldwide. Systematic trend analysis of P, a nonrenewable resource, has been challenging, primarily due to sparse and inconsistent historical data. Here, we leveraged intensive hydrometeorological data and the recent renaissance of deep learning approaches to fill data gaps and reconstruct temporal trends. We trained a multitask long short-term memory model for total P (TP) using data from 430 rivers across the contiguous United States (CONUS). Trend analysis of reconstructed daily records (1980–2019) shows widespread decline in concentrations, with declining, increasing, and insignificantly changing trends in 60%, 28%, and 12% of the rivers, respectively. Concentrations in urban rivers have declined the most despite rising urban population in the past decades; concentrations in agricultural rivers however have mostly increased, suggesting not-as-effective controls of nonpoint sources in agriculture lands compared to point sources in cities. TP loss, calculated as fluxes by multiplying concentration and discharge, however exhibited an overall increasing rate of 6.5% per decade at the CONUS scale over the past 40 y, largely due to increasing river discharge. Results highlight the challenge of reducing TP loss that is complicated by changing river discharge in a warming climate.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2402028121","usgsCitation":"Zhi, W., Baniecki, H., Liu, J., Boyer, E.W., Shen, C., Shenk, G.W., Liu, X., and Li, L., 2024, Increasing phosphorus loss despite widespread concentration decline in US rivers: PNAS, v. 121, no. 48, e2402028121, 9 p., https://doi.org/10.1073/pnas.2402028121.","productDescription":"e2402028121, 9 p.","ipdsId":"IP-167332","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":489078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2402028121","text":"Publisher Index Page"},{"id":464807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous 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 ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 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 [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"121","issue":"48","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhi, Wei 0000-0001-5485-1095","orcid":"https://orcid.org/0000-0001-5485-1095","contributorId":336775,"corporation":false,"usgs":false,"family":"Zhi","given":"Wei","email":"","affiliations":[{"id":68932,"text":"Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":920317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baniecki, Hubert 0000-0001-6661-5364","orcid":"https://orcid.org/0000-0001-6661-5364","contributorId":346942,"corporation":false,"usgs":false,"family":"Baniecki","given":"Hubert","email":"","affiliations":[{"id":83024,"text":"University of Warsaw, Warsaw, Poland","active":true,"usgs":false}],"preferred":false,"id":920318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jiangtao","contributorId":346943,"corporation":false,"usgs":false,"family":"Liu","given":"Jiangtao","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":920319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":920320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shen, Chaopeng","contributorId":152465,"corporation":false,"usgs":false,"family":"Shen","given":"Chaopeng","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":920321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Xiaofeng 0000-0002-8296-7076","orcid":"https://orcid.org/0000-0002-8296-7076","contributorId":317075,"corporation":false,"usgs":false,"family":"Liu","given":"Xiaofeng","email":"","affiliations":[{"id":68932,"text":"Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":920323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Li","contributorId":223548,"corporation":false,"usgs":false,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":920324,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261913,"text":"70261913 - 2024 - Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States)","interactions":[],"lastModifiedDate":"2026-02-10T17:49:18.930628","indexId":"70261913","displayToPublicDate":"2024-11-17T08:50:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2422,"text":"Journal of Phycology","active":true,"publicationSubtype":{"id":10}},"title":"Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States)","docAbstract":"Lake Mattamuskeet, the largest lake in North Carolina, USA, has undergone decades-long eutrophication causing reduced water quality and promoting cyanobacterial blooms that may produce toxins. It is therefore necessary to evaluate the cyanobacterial diversity of the lake and their toxigenic potential. We present draft genomes of Microcystis, Pelatocladus, Raphidiopsis, and Umezakia strains isolated from Lake Mattamuskeet. The whole-genome shotgun projects for Umezakia ovalisporum BLCC-F208, Microcystis sp. BLCC-F209, Microcystis sp. BLCC-F210, Pelatocladus sp. BLCC-F211, U. ovalisporum BLCC-F215, and Raphidiopsis BLCC-F218 have been deposited in GenBank under accession numbers JBHFLK000000000, JBHFLL000000000, CP169647, JBHFLM000000000, JBHFLN000000000, and JBHFLO000000000, respectively. Based on the genomic analysis, several biosynthetic gene clusters (BCGs) with varying degrees of similarity to known toxic and bioactive compound gene clusters were identified across the different cyanobacterial strains.
","language":"English","publisher":"Wiley","doi":"10.1111/jpy.13523","usgsCitation":"Moretto, J., Berthold, D., Lefler, F., Mazzei, V., Loftin, K.A., and Laughinghouse, D., 2024, Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States): Journal of Phycology, v. 60, no. 6, p. 1349-1355, https://doi.org/10.1111/jpy.13523.","productDescription":"7 p.","startPage":"1349","endPage":"1355","ipdsId":"IP-170755","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":498256,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jpy.13523","text":"Publisher Index Page"},{"id":465629,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Hyde County","otherGeospatial":"Albemarle-Pamlico Peninsula, Lake Mattamuskeet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.35112692142471,\n 35.56784290852124\n ],\n [\n -76.35112692142471,\n 35.437352291803705\n ],\n [\n -76.03141728533264,\n 35.437352291803705\n ],\n [\n -76.03141728533264,\n 35.56784290852124\n ],\n [\n -76.35112692142471,\n 35.56784290852124\n ]\n ]\n ],\n \"type\": \"Polygon\"\n },\n \"id\": 0\n }\n ]\n}","volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Moretto, Jéssica A.","contributorId":347704,"corporation":false,"usgs":false,"family":"Moretto","given":"Jéssica A.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berthold, David E.","contributorId":347705,"corporation":false,"usgs":false,"family":"Berthold","given":"David E.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefler, Forrest W.","contributorId":347706,"corporation":false,"usgs":false,"family":"Lefler","given":"Forrest W.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":922261,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Laughinghouse, Dail H. IV","contributorId":347707,"corporation":false,"usgs":false,"family":"Laughinghouse","given":"Dail H.","suffix":"IV","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922262,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261717,"text":"70261717 - 2024 - Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation","interactions":[],"lastModifiedDate":"2024-12-19T15:38:35.633185","indexId":"70261717","displayToPublicDate":"2024-11-16T09:35:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation","docAbstract":"Karst subterranean estuaries within globally ubiquitous carbonate aquifers are coastal groundwater ecosystems that provide an essential water resource for human populations. To understand the drivers of salinization within a coastal aquifer in the Yucatan Peninsula (Mexico), we employed hydroacoustics in flooded caves to observe how oceanic and atmospheric events facilitate mixing between the meteoric lens (fresh-brackish groundwater) and the saline groundwater on tidal and episodic timescales. Precipitation during Tropical Storm Carlotta increased the flow and salinity of the meteoric lens without evidence for vertical mixing across the halocline. We postulate that vertical migration of haloclines in the conduit relative to those within the rock matrix during precipitation creates lateral density gradients that drive mixing, and ultimately creates a brackish layer within the meteoric lens. These results provide a mechanistic explanation for vertical and lateral exchange in a coastal carbonate aquifer, which has implications for groundwater response to future climatic change.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109993","usgsCitation":"Ganju, N., Pohlman, J., Suttles, S.E., and Brankovits, D., 2024, Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation: Geophysical Research Letters, v. 51, no. 22, e2024GL109993, 10 p., https://doi.org/10.1029/2024GL109993.","productDescription":"e2024GL109993, 10 p.","ipdsId":"IP-164811","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109993","text":"Publisher Index Page"},{"id":465334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Ox Bel Ha cave system, Yucatan peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.30558586746815,\n 20.291951181554595\n ],\n [\n -88.15009160916765,\n 20.291951181554595\n ],\n [\n -88.15009160916765,\n 19.703686313193117\n ],\n [\n -87.30558586746815,\n 19.703686313193117\n ],\n [\n -87.30558586746815,\n 20.291951181554595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"22","noUsgsAuthors":false,"publicationDate":"2024-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":921578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suttles, Steven E. 0000-0002-4119-8370 ssuttles@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-8370","contributorId":192272,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven","email":"ssuttles@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brankovits, David","contributorId":296665,"corporation":false,"usgs":false,"family":"Brankovits","given":"David","affiliations":[{"id":64117,"text":"Molecular Ecology Group, Water Research Institute, National Research Council of Italy (IRSA CNR), Pallanza","active":true,"usgs":false}],"preferred":false,"id":921580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263331,"text":"70263331 - 2024 - Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons","interactions":[],"lastModifiedDate":"2025-02-06T16:19:44.84516","indexId":"70263331","displayToPublicDate":"2024-11-15T10:16:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons","docAbstract":"Crude oil toxicity to early life stage fish is commonly attributed to polycyclic aromatic hydrocarbons (PAHs). However, it remains unclear how the polar unresolved complex mixture (UCM), which constitutes the bulk of the water-soluble fraction of crude oil, contributes to crude oil toxicity. Additionally, the role of photomodification-induced toxicity in relation to the polar UCM is not well understood. This study addresses these knowledge gaps by assessing the toxicity of two laboratory generated polar UCMs from Cook Inlet crude oil, representing the readily water-soluble fraction of crude oil and photoproduced hydrocarbon oxidation products (HOPs), to Pacific herring (Clupea pallasii) embryos. A small-scale semi-static exposure design was utilized with a range of polar UCM concentrations (0.5–14 mg/L) in nonvolatile dissolved organic carbon (NVDOC) units, quantifying the entire polar UCM. Compositional analyses revealed a photochemical-driven shift toward more complex aromatic compositions, naphthenic acids, and no detectable levels of PAHs (above 0.3 μg/L). Exposure to the dark polar UCM resulted in higher mortality than exposure to the light polar UCM. Both dark and light polar UCMs induced developmental abnormalities commonly attributed to the PAH fraction, including edema, reduced heart rate, body axis defects, and decreased body lengths, with these effects observed at the lowest dose group (0.5 mg/L NVDOC). These responses suggest photomodification-induced toxicity is driven by exposure to increased concentrations of dissolved HOPs rather than photochemical induced compositional changes. Gene expression analyses focusing on xenobiotic metabolism and cardiac morphogenesis yielded results consistent with previous studies examining the biological mechanisms of crude oil toxicity. In summary, these phenotypic and genotypic responses in Pacific herring embryos indicate that the polar UCM is a significant driver of crude oil toxicity. These findings emphasize the importance of considering the polar UCM in future studies, metric reporting, and risk assessments related to crude oil toxicity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.177447","usgsCitation":"Harsha, M.L., Salas-Ortiz, Y., Cypher, A., Osborn, E., Turcios Valle, E., Gregg, J.L., Hershberger, P., Kurerov, Y., King, S., Goranov, A., Hatcher, P., Konefal, A., Cox, T., Greer, J.B., Meador, J., Tarr, M., Tomco, P., and Podgorski, D.C., 2024, Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons: Science of the Total Environment, v. 957, 177447, 14 p., https://doi.org/10.1016/j.scitotenv.2024.177447.","productDescription":"177447, 14 p.","ipdsId":"IP-169067","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":486981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.177447","text":"Publisher Index Page"},{"id":481752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"957","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harsha, Maxwell L.","contributorId":328609,"corporation":false,"usgs":false,"family":"Harsha","given":"Maxwell","email":"","middleInitial":"L.","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":926424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salas-Ortiz, Yanila","contributorId":350611,"corporation":false,"usgs":false,"family":"Salas-Ortiz","given":"Yanila","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cypher, Alysha D.","contributorId":350612,"corporation":false,"usgs":false,"family":"Cypher","given":"Alysha D.","affiliations":[{"id":83789,"text":"Prince William Sound Science Center, Cordova, Alaska","active":true,"usgs":false}],"preferred":false,"id":926426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborn, Ed","contributorId":350613,"corporation":false,"usgs":false,"family":"Osborn","given":"Ed","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turcios Valle, Eduardo","contributorId":350614,"corporation":false,"usgs":false,"family":"Turcios Valle","given":"Eduardo","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926430,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurerov, Yuri","contributorId":350615,"corporation":false,"usgs":false,"family":"Kurerov","given":"Yuri","affiliations":[{"id":83790,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana; Eurofins Central Analytical Laboratories, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926431,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Sarah","contributorId":329377,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":926432,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goranov, Aleksandar I.","contributorId":350616,"corporation":false,"usgs":false,"family":"Goranov","given":"Aleksandar I.","affiliations":[{"id":83791,"text":"Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia","active":true,"usgs":false}],"preferred":false,"id":926433,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hatcher, Patrick G.","contributorId":350617,"corporation":false,"usgs":false,"family":"Hatcher","given":"Patrick G.","affiliations":[{"id":83791,"text":"Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia","active":true,"usgs":false}],"preferred":false,"id":926434,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Konefal, Anastasia","contributorId":350618,"corporation":false,"usgs":false,"family":"Konefal","given":"Anastasia","affiliations":[{"id":83792,"text":"Department of Biological Sciences, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926435,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cox, T. Erin","contributorId":350619,"corporation":false,"usgs":false,"family":"Cox","given":"T. Erin","affiliations":[{"id":83792,"text":"Department of Biological Sciences, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926436,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926437,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Meador, James P.","contributorId":174075,"corporation":false,"usgs":false,"family":"Meador","given":"James P.","affiliations":[],"preferred":false,"id":926438,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tarr, Matthew A.","contributorId":350620,"corporation":false,"usgs":false,"family":"Tarr","given":"Matthew A.","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926439,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Tomco, Patrick L.","contributorId":350621,"corporation":false,"usgs":false,"family":"Tomco","given":"Patrick L.","affiliations":[{"id":83793,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana; Department of Chemistry, University of Alaska Anchorage, Anchorage, Alaska","active":true,"usgs":false}],"preferred":false,"id":926440,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":926441,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70260924,"text":"gip245 - 2024 - The U.S. Geological Survey National Water Quality Network—Surface Water—2023","interactions":[],"lastModifiedDate":"2025-12-22T21:22:29.719591","indexId":"gip245","displayToPublicDate":"2024-11-15T07:39:14","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"245","displayTitle":"The U.S. Geological Survey National Water Quality Network—Surface Water—2023","title":"The U.S. Geological Survey National Water Quality Network—Surface Water—2023","docAbstract":"The U.S. Geological Survey (USGS) National Water Quality Network for surface water (NWQN-SW) was established in 2013 to develop long-term, comparable assessments of surface-water quality in support of national, regional, state, and local needs related to water-quality management and policy. Waterquality samples are collected at each site and measured for a variety of parameters. In 2023, the NWQN-SW consisted of 109 sites, each of them paired with a streamgage, operated by the USGS or other agencies that provide continuous information on streamflow conditions. The waterquality data and the streamflow information from the NWQN-SW is then used to assess the status and trends of water-quality conditions and potential impacts on human and aquatic health.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip245","usgsCitation":"Riskin, Melissa, 2024, The U.S. Geological Survey National Water Quality Network—Surface Water—2023: U.S. Geological Survey General Information Product 245, https://doi.org/10.3133/gip245.","productDescription":"1 p.","ipdsId":"IP-167530","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":481905,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip247","text":"GIP 247","description":"GIP 247","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Groundwater—2023"},{"id":481904,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip244","text":"GIP 244","description":"GIP 244","linkHelpText":"— The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 (ver. 1.1)"},{"id":481903,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip243","text":"GIP 243","description":"GIP 243","linkHelpText":"— U.S. Geological Survey Groundwater Climate Response Network—2023"},{"id":481902,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip242","text":"GIP 242","description":"GIP 242","linkHelpText":"— The U.S. Geological Survey National Streamgage Network—2023"},{"id":464107,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/245/gip245.jpg"},{"id":464108,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/245/gip245.pdf","text":"Report","size":"864 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 245"},{"id":497911,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117795.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Water Quality Network Surface Water Coordinator
Observing Systems Division
Water Mission Area
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Contact Publications Warehouse
As of October 2023, the U.S. Geological Survey (USGS) operated more than 660 sites across the United States and its territories as part of the Groundwater Climate Response Network (CRN). The CRN is comprised of wells and springs selected to monitor the effects of climate variability, such as droughts, on groundwater levels and spring discharge nationwide. The CRN includes more than 550 locations with realtime data and more than 100 sites with non-real-time data available to the public on the CRN web mapper and the USGS National Water Dashboard.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip243","usgsCitation":"Fine, J., 2024, U.S. Geological Survey Groundwater Climate Response Network—2023: U.S. Geological Survey General Information Product 243, https://doi.org/10.3133/gip243.","productDescription":"1 p.","ipdsId":"IP-167529","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":481896,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip245","text":"GIP 245","description":"GIP 245","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Surface Water—2023"},{"id":481895,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip244","text":"GIP 244","description":"GIP 244","linkHelpText":"— The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 (ver. 1.1)"},{"id":481897,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip247","text":"GIP 247","description":"GIP 247","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Groundwater—2023"},{"id":481894,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip242","text":"GIP 242","description":"GIP 242","linkHelpText":"— The U.S. Geological Survey National Streamgage Network—2023"},{"id":464075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/243/gip243.pdf","text":"Report","size":"297 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 2043"},{"id":464074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/243/gip243.jpg"}],"contact":"National Groundwater Networks Coordinator
Observing Systems Division
Water Mission Area
U.S. Geological Survey
2730 Deer Run Rd.
Carson City, NV 89701
Contact Publications Warehouse
Optimal egg size theory predicts females must balance investment per offspring to maximize fitness based on environmental quality. In wetlands, environmental quality can be duration of water and predator presence. Ectotherms using habitats that dry or contain predators are likely under selection to optimize offspring production. We measured reproductive output of wood frogs (Rana sylvatica) in 30 wetlands in Subarctic Canada, where rapid climate changes are accelerating wetland drying. We predicted wetlands with short hydroperiods would have larger ova, smaller clutch sizes, and larger ovum-to-clutch-sizes than wetlands with long hydroperiods or with fish predators. We found partial support for predictions with larger ova in habitats with short hydroperiods and no fish but no evidence of larger clutch sizes in wetlands with fish. Our study implicates changes to wetland hydroperiod as a source of plasticity affecting one aspect of reproductive effort (ovum size) in an ectotherm but not another (clutch size).
","language":"English","publisher":"Wiley","doi":"10.1002/wll2.12046","usgsCitation":"Davenport, J., Feltmann, A., Fishback, L., and Hossack, B., 2024, Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration: Wildlife Letters, v. 2, no. 3, p. 124-130, https://doi.org/10.1002/wll2.12046.","productDescription":"7 p.","startPage":"124","endPage":"130","ipdsId":"IP-159054","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466769,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wll2.12046","text":"Publisher Index Page"},{"id":464439,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.11271766961161,\n 58.79430825310797\n ],\n [\n -94.11271766961161,\n 58.59950654149819\n ],\n [\n -93.56955321517604,\n 58.59950654149819\n ],\n [\n -93.56955321517604,\n 58.79430825310797\n ],\n [\n -94.11271766961161,\n 58.79430825310797\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, Jon M.","contributorId":126727,"corporation":false,"usgs":false,"family":"Davenport","given":"Jon M.","affiliations":[{"id":6583,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, USA 59812","active":true,"usgs":false}],"preferred":false,"id":919118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feltmann, Andrew","contributorId":346451,"corporation":false,"usgs":false,"family":"Feltmann","given":"Andrew","email":"","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":919119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fishback, LeeAnn","contributorId":168514,"corporation":false,"usgs":false,"family":"Fishback","given":"LeeAnn","email":"","affiliations":[{"id":25316,"text":"Churchill Northern Studies Centre, P.O. Box 610, Churchill, Manitoba, R0B 0E0, Canada","active":true,"usgs":false}],"preferred":false,"id":919120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":919121,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263341,"text":"70263341 - 2024 - The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch","interactions":[],"lastModifiedDate":"2025-02-06T15:34:43.587539","indexId":"70263341","displayToPublicDate":"2024-11-13T09:27:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch","docAbstract":"Imaging spectroscopy has been a recognized and established remote sensing technology since the 1980s, mainly using airborne and field-based platforms to identify and quantify key bio- and geo-chemical surface and atmospheric compounds, based on characteristic spectral reflectance features in the visible-near infrared (VNIR) and short-wave infrared (SWIR). Spaceborne missions, a leap in technology, were sparse, starting with the CHRIS/PROBA and EO1/Hyperion missions in the early 2000s, and providing spectroscopy data with limited spectral coverage and/or low data quality in the SWIR. Since 2019, several countries and agencies have successfully launched a number of spaceborne imaging spectroscopy systems into orbit or deployed them on the International Space Station (ISS) such as DESIS, PRISMA, HISUI, GF-5, EnMAP and EMIT. Among these recent missions, the German Environmental Mapping and Analysis Program (EnMAP) stands for its long-term development, sophisticated design with on-board calibration, high data quality requirements, and extensive accompanying science program. EnMAP was launched in April 2022 and, following a successful commissioning phase, started its operational activities in November 2022. The EnMAP mission encompasses global coverage from 80° N to 80° S through on-demand data acquisitions. Data are free and open access with 30 m spatial resolution, a high spectral resolution with a spectral sampling distance of 6.5 nm and 10 nm in the VNIR and SWIR regions respectively, and a high signal-to-noise ratio. In this paper, we aim to present the mission's current status, coverage, science capabilities and performance two years after launch. We show the potential of EnMAP for space-based imaging spectroscopy to operate in various environments, including high and low light levels, dense forests, Antarctic glaciers, and arid agricultural areas. EnMAP enables various applications in fields such as agriculture and forestry, soil compositional, raw materials, and methane mapping, as well as water quality assessment, and snow and ice properties. The results show that EnMAP's performance exceeds the mission requirements, and highlights the significant potential for contribution to scientific exploitation in various geo- and biochemical sciences. EnMAP is also expected to serve as a key tool for the development and testing of data processing algorithms for upcoming global operational missions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2024.114379","usgsCitation":"Chabrillat, S., Foerster, S., Segl, K., Beamish, A., Brell, M., Asadzadeh, S., Milewski, R., Ward, K., Brosinsky, A., Koch, K., Scheffler, D., Guillaso, S., Kokhanovsky, A., Roessner, S., Guanter, L., Kauffman, H., Pinnel, N., Carmona, E., Storch, T., Hank, T., Berger, K., Wocher, M., Hostert, P., van der Linden, S., Okujeni, A., Janz, A., Jakimow, B., Bracher, A., Soppa, M., Alvarado, L., Buddenbaum, H., Heim, B., Heiden, U., Moreno, J.M., Ong, C., Bohn, N., Green, R., Bachmann, M., Kokaly, R.F., Schodlok, M., Painter, T., Gascon, F., Buongiorno, F., Mottus, M., Brando, V., Feilhauer, H., Betz, M., Baur, S., Feckl, R., Schickling, A., Krieger, V., Bock, M., La Porta, L., and Fischer, S., 2024, The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch: Remote Sensing of Environment, v. 315, 114379, 21 p., https://doi.org/10.1016/j.rse.2024.114379.","productDescription":"114379, 21 p.","ipdsId":"IP-163728","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":487026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2024.114379","text":"Publisher Index Page"},{"id":481742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"315","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chabrillat, Sabine 0000-0001-8600-5168","orcid":"https://orcid.org/0000-0001-8600-5168","contributorId":243560,"corporation":false,"usgs":false,"family":"Chabrillat","given":"Sabine","email":"","affiliations":[{"id":48729,"text":"Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ","active":true,"usgs":false}],"preferred":false,"id":926522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foerster, Saskia","contributorId":305903,"corporation":false,"usgs":false,"family":"Foerster","given":"Saskia","email":"","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Segl, Karl","contributorId":305901,"corporation":false,"usgs":false,"family":"Segl","given":"Karl","email":"","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beamish, Alison","contributorId":350638,"corporation":false,"usgs":false,"family":"Beamish","given":"Alison","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brell, Maximilian","contributorId":305868,"corporation":false,"usgs":false,"family":"Brell","given":"Maximilian","email":"","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Asadzadeh, Saeid","contributorId":350639,"corporation":false,"usgs":false,"family":"Asadzadeh","given":"Saeid","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Milewski, Robert","contributorId":350640,"corporation":false,"usgs":false,"family":"Milewski","given":"Robert","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926528,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ward, Kathrin J.","contributorId":350641,"corporation":false,"usgs":false,"family":"Ward","given":"Kathrin J.","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brosinsky, Arlena","contributorId":350642,"corporation":false,"usgs":false,"family":"Brosinsky","given":"Arlena","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926530,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koch, Katrin","contributorId":350643,"corporation":false,"usgs":false,"family":"Koch","given":"Katrin","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926531,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scheffler, Daniel","contributorId":305902,"corporation":false,"usgs":false,"family":"Scheffler","given":"Daniel","email":"","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926532,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Guillaso, Stephane","contributorId":350644,"corporation":false,"usgs":false,"family":"Guillaso","given":"Stephane","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926533,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kokhanovsky, Alexander","contributorId":350645,"corporation":false,"usgs":false,"family":"Kokhanovsky","given":"Alexander","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926534,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roessner, Sigrid","contributorId":350646,"corporation":false,"usgs":false,"family":"Roessner","given":"Sigrid","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926535,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Guanter, Luis","contributorId":305900,"corporation":false,"usgs":false,"family":"Guanter","given":"Luis","email":"","affiliations":[{"id":66323,"text":"Universitat Politecnica de Valencia, 46022 Valencia, Spain","active":true,"usgs":false}],"preferred":false,"id":926536,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kauffman, Hermann","contributorId":350647,"corporation":false,"usgs":false,"family":"Kauffman","given":"Hermann","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926537,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pinnel, Nicole","contributorId":305899,"corporation":false,"usgs":false,"family":"Pinnel","given":"Nicole","email":"","affiliations":[{"id":66316,"text":"German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Weßling, Germany","active":true,"usgs":false}],"preferred":false,"id":926538,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Carmona, Emiliano","contributorId":305874,"corporation":false,"usgs":false,"family":"Carmona","given":"Emiliano","email":"","affiliations":[{"id":66316,"text":"German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Weßling, Germany","active":true,"usgs":false}],"preferred":false,"id":926539,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Storch, Tobias","contributorId":305864,"corporation":false,"usgs":false,"family":"Storch","given":"Tobias","email":"","affiliations":[{"id":66316,"text":"German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Weßling, Germany","active":true,"usgs":false}],"preferred":false,"id":926540,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hank, Tobias","contributorId":350648,"corporation":false,"usgs":false,"family":"Hank","given":"Tobias","affiliations":[{"id":83802,"text":"Ludwig-Maximilians-University München (LMU), Dept. of Geography, 80333 Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":926541,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Berger, Katja","contributorId":350649,"corporation":false,"usgs":false,"family":"Berger","given":"Katja","affiliations":[{"id":83803,"text":"Laboratory for Earth Observation (LEO), Image Processing Laboratory (IPL), University of Valencia, 46980 Paterna, València, Spain","active":true,"usgs":false}],"preferred":false,"id":926542,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wocher, Mathias","contributorId":350650,"corporation":false,"usgs":false,"family":"Wocher","given":"Mathias","affiliations":[{"id":83802,"text":"Ludwig-Maximilians-University München (LMU), Dept. of Geography, 80333 Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":926543,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Hostert, Patrick","contributorId":294426,"corporation":false,"usgs":false,"family":"Hostert","given":"Patrick","affiliations":[{"id":63572,"text":"Humboldt University of Berlin","active":true,"usgs":false}],"preferred":false,"id":926544,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"van der Linden, Sebastian","contributorId":350651,"corporation":false,"usgs":false,"family":"van der Linden","given":"Sebastian","affiliations":[{"id":83804,"text":"University of Greifswald, Institute for Geography and Geology, 17489 Greifswald, Germany","active":true,"usgs":false}],"preferred":false,"id":926545,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Okujeni, Akpona","contributorId":350652,"corporation":false,"usgs":false,"family":"Okujeni","given":"Akpona","affiliations":[{"id":83805,"text":"Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":926546,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Janz, Andreas","contributorId":350653,"corporation":false,"usgs":false,"family":"Janz","given":"Andreas","affiliations":[{"id":83805,"text":"Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":926547,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Jakimow, Benjamin","contributorId":350654,"corporation":false,"usgs":false,"family":"Jakimow","given":"Benjamin","affiliations":[{"id":83805,"text":"Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":926548,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Bracher, Astrid","contributorId":305905,"corporation":false,"usgs":false,"family":"Bracher","given":"Astrid","email":"","affiliations":[{"id":66325,"text":"Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":926549,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Soppa, Mariana","contributorId":305906,"corporation":false,"usgs":false,"family":"Soppa","given":"Mariana","email":"","affiliations":[{"id":66325,"text":"Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":926550,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Alvarado, L.M.A.","contributorId":350655,"corporation":false,"usgs":false,"family":"Alvarado","given":"L.M.A.","affiliations":[{"id":66325,"text":"Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":926551,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Buddenbaum, H.","contributorId":350656,"corporation":false,"usgs":false,"family":"Buddenbaum","given":"H.","affiliations":[{"id":83806,"text":"Environmental Remote Sensing and Geoinformatics, Trier University, 54286 Trier, Germany","active":true,"usgs":false}],"preferred":false,"id":926552,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Heim, Birgit","contributorId":350657,"corporation":false,"usgs":false,"family":"Heim","given":"Birgit","affiliations":[{"id":66325,"text":"Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":926553,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Heiden, Uta","contributorId":350658,"corporation":false,"usgs":false,"family":"Heiden","given":"Uta","affiliations":[{"id":66316,"text":"German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Weßling, Germany","active":true,"usgs":false}],"preferred":false,"id":926554,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Moreno, Jose M.","contributorId":150464,"corporation":false,"usgs":false,"family":"Moreno","given":"Jose","email":"","middleInitial":"M.","affiliations":[{"id":18029,"text":"D Ciencias Ambientales, U Castilla La Mancha, Toledo, Spain","active":true,"usgs":false}],"preferred":false,"id":926555,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Ong, Cindy 0000-0002-9168-2865","orcid":"https://orcid.org/0000-0002-9168-2865","contributorId":243558,"corporation":false,"usgs":false,"family":"Ong","given":"Cindy","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":926556,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Bohn, Niklas","contributorId":305904,"corporation":false,"usgs":false,"family":"Bohn","given":"Niklas","email":"","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":926557,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Green, Robert O.","contributorId":56271,"corporation":false,"usgs":true,"family":"Green","given":"Robert O.","affiliations":[],"preferred":false,"id":926558,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Bachmann, Martin","contributorId":305897,"corporation":false,"usgs":false,"family":"Bachmann","given":"Martin","email":"","affiliations":[{"id":66316,"text":"German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Weßling, Germany","active":true,"usgs":false}],"preferred":false,"id":926559,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":926560,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Schodlok, Martin","contributorId":350659,"corporation":false,"usgs":false,"family":"Schodlok","given":"Martin","affiliations":[{"id":83807,"text":"Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Geozentrum Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":926561,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Painter, Thomas H.","contributorId":225054,"corporation":false,"usgs":false,"family":"Painter","given":"Thomas H.","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":926562,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Gascon, Ferran","contributorId":350381,"corporation":false,"usgs":false,"family":"Gascon","given":"Ferran","affiliations":[{"id":38836,"text":"European Space Agency","active":true,"usgs":false}],"preferred":false,"id":926563,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Buongiorno, Fabrizia","contributorId":350660,"corporation":false,"usgs":false,"family":"Buongiorno","given":"Fabrizia","affiliations":[{"id":83808,"text":"National Institute of Geophysics and Volcanology (INGV), Rome, Lazio, Italy","active":true,"usgs":false}],"preferred":false,"id":926564,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Mottus, Matti","contributorId":350661,"corporation":false,"usgs":false,"family":"Mottus","given":"Matti","affiliations":[{"id":83809,"text":"Technical Research Centre of Finland (VTT), Espoo, Finland","active":true,"usgs":false}],"preferred":false,"id":926565,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Brando, Vittorio Ernesto","contributorId":350662,"corporation":false,"usgs":false,"family":"Brando","given":"Vittorio Ernesto","affiliations":[{"id":83810,"text":"Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine (CNR-ISMAR), Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":926566,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Feilhauer, Hannes","contributorId":334012,"corporation":false,"usgs":false,"family":"Feilhauer","given":"Hannes","email":"","affiliations":[],"preferred":false,"id":926567,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Betz, Matthias","contributorId":305871,"corporation":false,"usgs":false,"family":"Betz","given":"Matthias","email":"","affiliations":[{"id":66317,"text":"OHB System AG, 82234 Weßling, Germany","active":true,"usgs":false}],"preferred":false,"id":926579,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Baur, Simon","contributorId":305875,"corporation":false,"usgs":false,"family":"Baur","given":"Simon","email":"","affiliations":[{"id":66317,"text":"OHB System AG, 82234 Weßling, Germany","active":true,"usgs":false}],"preferred":false,"id":926580,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Feckl, Rupert","contributorId":350667,"corporation":false,"usgs":false,"family":"Feckl","given":"Rupert","affiliations":[],"preferred":false,"id":926581,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Schickling, Anke","contributorId":305915,"corporation":false,"usgs":false,"family":"Schickling","given":"Anke","email":"","affiliations":[],"preferred":false,"id":926568,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Krieger, Vera","contributorId":350668,"corporation":false,"usgs":false,"family":"Krieger","given":"Vera","affiliations":[],"preferred":false,"id":926582,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Bock, Michael","contributorId":350663,"corporation":false,"usgs":false,"family":"Bock","given":"Michael","affiliations":[{"id":83811,"text":"German Aerospace Center (DLR), Space Agency, Bonn, Germany","active":true,"usgs":false}],"preferred":false,"id":926569,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"La Porta, Laura","contributorId":305911,"corporation":false,"usgs":false,"family":"La Porta","given":"Laura","email":"","affiliations":[{"id":66327,"text":"German Aerospace Center (DLR), Space Agency, 53227 Bonn, Germany","active":true,"usgs":false}],"preferred":false,"id":926570,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Fischer, Sebastian","contributorId":305912,"corporation":false,"usgs":false,"family":"Fischer","given":"Sebastian","email":"","affiliations":[{"id":66327,"text":"German Aerospace Center (DLR), Space Agency, 53227 Bonn, Germany","active":true,"usgs":false}],"preferred":false,"id":926571,"contributorType":{"id":1,"text":"Authors"},"rank":54}]}} ,{"id":70260822,"text":"sir20245098 - 2024 - Water-quality comparisons in the Greater Mooses Tooth unit of the National Petroleum Reserve in Alaska, 2010 and 2023","interactions":[],"lastModifiedDate":"2025-12-22T21:27:01.378005","indexId":"sir20245098","displayToPublicDate":"2024-11-12T13:16:24","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5098","displayTitle":"Water-Quality Comparisons in the Greater Mooses Tooth Unit of the National Petroleum Reserve in Alaska, 2010 and 2023","title":"Water-quality comparisons in the Greater Mooses Tooth unit of the National Petroleum Reserve in Alaska, 2010 and 2023","docAbstract":"The United States has long held oil reserves in the National Petroleum Reserve in Alaska (NPR–A), but oil production did not begin until 2015. The waters of the NPR–A are generally considered “pristine,” but water quality has not been characterized temporally or spatially in a rigorous manner. In 2010 and 2023, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, collected water-quality samples from four small, beaded streams in the NPR–A, three of which currently (2024) have oil and gas infrastructure within their drainage. Samples collected preconstruction and postconstruction were analyzed and compared to determine concentration changes in nutrients, major ions, trace elements, and volatile organic compounds to evaluate the effectiveness of required operating procedures designed to minimize potential effects to water quality from oil and gas activities.
The four small streams in the Greater Mooses Tooth unit of the NPR–A had similar water-quality characteristics in the 2010 and 2023 samples. Most analytes were measured at low concentrations or below the reporting level for both samples. For analytes that were detected, variability between the two samples was generally low and mostly showed lower concentrations in the 2023 samples, possibly partially because of recent rainfall that led to streamflow being much higher at the time of the 2023 sample. Trichloromethane was present in the sample at one site in both years and at a second site in the 2023 sample. All three detections of trichloromethane were within the expected natural background range for the area. The few increases in analyte concentrations in the watersheds with oil and gas facilities were all within the range of predevelopment concentrations or background concentrations for the area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245098","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Hall, B.M., 2024, Water-quality comparisons in the Greater Mooses Tooth unit of the National Petroleum Reserve in Alaska, 2010 and 2023: U.S. Geological Survey Scientific Investigations Report 2024–5098, 11 p., https://doi.org/10.3133/sir20245098.","productDescription":"Report: vi, 11 p.; Dataset","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-162398","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":497913,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117793.htm","linkFileType":{"id":5,"text":"html"}},{"id":463853,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245098/full"},{"id":463848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5098/coverthb.jpg"},{"id":463849,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5098/sir20245098.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5098"},{"id":463850,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5098/sir20245098.XML"},{"id":463851,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5098/images/"},{"id":463852,"rank":5,"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"}],"country":"United States","state":"Alaska","otherGeospatial":"Greater Mooses Tooth Unit of the National Petroleum Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.66,\n 70.5\n ],\n [\n -152,\n 70.5\n ],\n [\n -152,\n 70\n ],\n [\n -150.66,\n 70\n ],\n [\n -150.66,\n 70.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Background
Colorado River Cutthroat Trout (CRCT; Oncorhynchus clarkii pleuriticus) conservation populations may be at risk from wildfire and post-fire debris flows hazards.
Aim
To predict burn severity and potential post-fire debris flow hazard classifications to CRCT conservation populations before wildfires occur.
Methods
We used remote sensing, spatial analyses, and machine learning to model 28 wildfire incidents (2016–2020) and spatially predict burn severity from pre-wildfire environmental factors to evaluate the likelihood (%) and volume (m3) hazard classification of post-fire debris flow.
Key results
Burn severity was best predicted by fuels, followed by topography, physical ecosystem conditions, and weather (mean adjusted R2 = 0.54). Predictions of high or moderate burn severity covered 1.1 (15% of study area) and 1.5 (19% of study area) million ha, respectively, and varied by watershed. Combined high or moderate debris flow hazard classification included 80% of stream reaches with conservation populations and 97% of conservation population point nodes.
Conclusions
Predicted burn severity and potential post-fire debris flow indicated moderate to high hazard for CRCT conservation populations native to the Green and Yampa rivers of the Upper Colorado River Basin.
Implications
Future management actions can incorporate predicted burn severity and potential post-fire debris flow to mitigate impacts to CRCT and other at-risk resource values before a wildfire occurs.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF23199","usgsCitation":"Wells, A.G., Yackulic, C., Kostelnik, J., Bock, A.R., Zuellig, R.E., Carlisle, D.M., Roberts, J., Rogers, K., and Munson, S.M., 2024, Before the fire: Predicting burn severity and potential post-fire debris-flow hazards to Colorado River Cutthroat Trout (Oncorhynchus clarkii pleuriticus) conservation populations: International Journal of Wildland Fire, v. 33, WF23199, 19 p., https://doi.org/10.1071/WF23199.","productDescription":"WF23199, 19 p.","ipdsId":"IP-160628","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":481050,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf23199","text":"Publisher Index Page"},{"id":480839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0498046875,\n 44.731125592643274\n ],\n [\n -111.1376953125,\n 42.114523952464246\n ],\n [\n -112.78564453124999,\n 41.902277040963696\n ],\n [\n -112.6318359375,\n 38.03078569382294\n ],\n [\n -111.9287109375,\n 36.756490329505176\n ],\n [\n -110.1708984375,\n 35.8356283888737\n ],\n [\n -106.63330078125,\n 35.55010533588552\n ],\n [\n -106.787109375,\n 35.88905007936091\n ],\n [\n -104.83154296875,\n 38.77121637244273\n ],\n [\n -104.96337890625,\n 40.93011520598305\n ],\n [\n -111.0498046875,\n 44.731125592643274\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Adam Gerhard 0000-0001-9675-4963","orcid":"https://orcid.org/0000-0001-9675-4963","contributorId":270137,"corporation":false,"usgs":true,"family":"Wells","given":"Adam","email":"","middleInitial":"Gerhard","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kostelnik, Jaime 0000-0002-1817-5461","orcid":"https://orcid.org/0000-0002-1817-5461","contributorId":300717,"corporation":false,"usgs":true,"family":"Kostelnik","given":"Jaime","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":924580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","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":924583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rogers, Kevin B.","contributorId":220104,"corporation":false,"usgs":false,"family":"Rogers","given":"Kevin B.","affiliations":[],"preferred":false,"id":924585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924586,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260455,"text":"dr1201 - 2024 - Post Carr Fire bioassessment data report, Whiskeytown National Recreation Area, Shasta County, California","interactions":[],"lastModifiedDate":"2024-11-13T15:27:55.660405","indexId":"dr1201","displayToPublicDate":"2024-11-12T08:22:00","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":"1201","displayTitle":"Post Carr Fire Bioassessment Data Report, Whiskeytown National Recreation Area, Shasta County, California","title":"Post Carr Fire bioassessment data report, Whiskeytown National Recreation Area, Shasta County, California","docAbstract":"The U.S. Geological Survey, in cooperation with the National Park Service, analyzed water and sediment chemistry, benthic macroinvertebrate assemblages, fish and amphibian assemblages, fish and invertebrate tissues, instream habitat characteristics, and sediment heterogeneity at 10 stream sites within Whiskeytown National Recreation Area, Shasta County, California, during August 2020, 2 years after the Carr Fire. The post-Carr Fire data were compared to available pre-Carr Fire data to help determine if there have been wildfire-induced changes in the aquatic communities within the Whiskeytown National Recreational Area. Benthic sediment results for metals of biological concern were compared with consensus-based probable effect concentrations from previously published sediment-quality guidelines. Results from 2020 sampling indicated exceedances of these guidelines at one site for cadmium, chromium, copper, and zinc; there were exceedances of the guidelines at three sites for nickel. Concentrations of metals of biological concern in fish and invertebrate tissue samples generally varied among sites and years, with no pattern with specific reference to the Carr Fire. Average zinc and lead concentrations in composite invertebrate samples were slightly higher in 2020 than in previous years, and arsenic levels were lower in 2020 for invertebrate and fish tissues. Post-Carr Fire stream-habitat and sediment-size characterization values did not change substantially when compared to pre-Carr Fire values, or had high variation among all sites and years. Fish and amphibian inventories demonstrated that fewer total fish and amphibians were collected post-Carr Fire, but higher numbers of native Sacramento Sucker (Catostomus occidentalis) and Sacramento Pikeminnow (Ptychocheilus grandis) were collected than in previous years. The combined histories of mining and frequent wildfires in the area pose an increased risk for metal contamination throughout the aquatic system. Continued monitoring for multilevel trophic effects of contaminants can provide information about the overall health of the Whiskeytown National Recreation Area and surrounding region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1201","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Wulff, M.L., Brown, L.R., and Violette, V.L., 2024, Post Carr Fire bioassessment data report, Whiskeytown National Recreation Area, Shasta County, California: U.S. Geological Survey Data Report 1201, 26 p., https://doi.org/10.3133/dr1201.","productDescription":"Report: viii, 26 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-125210","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":463558,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90WGKWI","text":"USGS Data Release","description":"Wulff, M.L., Brown, L.R., and Violette, V.L., 2023, Post Carr Fire Bioassessment Data, Whiskeytown National Recreation Area, Shasta County, California, 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P90WGKWI.","linkHelpText":"Post Carr Fire Bioassessment Data, Whiskeytown National Recreation Area, Shasta County, California, 2020"},{"id":463557,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1201/full"},{"id":463556,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1201/images"},{"id":463555,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1201/dr1201.XML"},{"id":463554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1201/dr1201.pdf","text":"Report","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1201/coverthb.jpg"}],"country":"United States","state":"California","county":"Shasta County","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.7971714207388,\n 41.04817475780641\n ],\n [\n -122.7971714207388,\n 40.53716575964799\n ],\n [\n -122.2801689286946,\n 40.53716575964799\n ],\n [\n -122.2801689286946,\n 41.04817475780641\n ],\n [\n -122.7971714207388,\n 41.04817475780641\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
A primary challenge of Flathead Catfish Pylodictis olivaris management is uncertainty associated with sampling strategies and resulting ambiguity in population-level information. Assessment of impoundment and environmental conditions that affect detection probability may aid in reducing sample variance and benefit inferences regarding changes to Flathead Catfish populations. We sampled eight small impoundments in Kansas (37–114 surface ha) using low-frequency electrofishing in summer, 2021. We revisited sites nine times over three months using an occupancy modeling framework to estimate the influence of impoundment and environmental conditions on detection probability of Flathead Catfish. We employed an information theoretic approach and ranked models built with impoundment as a random effect and three environmental variables predicted to influence detection of Flathead Catfish in small impoundments. Detection probability across all populations was 0.526 (SE = 0.020) and was influenced by water temperature, mean depth of the impoundment, and proportion of impoundment sampled. Generally, detection probability increased with all measured variables. The inclusion of detection probability in assessments of Flathead Catfish in small impoundments can inform interpretation of catch-related metrics. Further, variable detection suggests collection of multiple samples during a defined sampling period might be more suitable for characterizing populations than a single sample.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/jfwm-23-057","usgsCitation":"Miller, B., Neely, B., Chance-Ossowski, C., Waters, M., Salazar, V., Lucas K. Kowalewski, Kramer, N., Lundgren, S., and Spurgeon, J.J., 2024, Detection probabilities of Flathead Catfish in small Kansas impoundments: Journal of Fish and Wildlife Management, v. 15, no. 2, p. 530-536, https://doi.org/10.3996/jfwm-23-057.","productDescription":"7 p.","startPage":"530","endPage":"536","ipdsId":"IP-156562","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":490091,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-057","text":"Publisher Index Page"},{"id":482449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.541116,36.999573],[-99.648652,36.999604],[-99.657658,37.000197],[-99.875409,37.001659],[-99.995201,37.001631],[-100.115722,37.002206],[-100.193754,37.002133],[-100.552683,37.000735],[-100.734517,36.999059],[-100.756894,36.999357],[-100.855634,36.998626],[-100.904274,36.998745],[-100.945469,36.998153],[-101.012641,36.998176],[-101.359674,36.996232],[-102.04224,36.993083],[-102.041749,37.034397],[-102.041809,37.111973],[-102.042092,37.125021],[-102.041963,37.258164],[-102.041664,37.29765],[-102.042089,37.352819],[-102.041524,37.375018],[-102.042016,37.535261],[-102.041574,37.680436],[-102.042158,37.760164],[-102.042953,37.803535],[-102.044644,38.045532],[-102.044255,38.113011],[-102.044589,38.125013],[-102.044251,38.141778],[-102.044944,38.384419],[-102.044442,38.415802],[-102.044936,38.41968],[-102.045324,38.453647],[-102.045074,38.669617],[-102.045334,38.799463],[-102.046571,39.047038],[-102.04937,39.41821],[-102.049554,39.538932],[-102.050422,39.646048],[-102.050099,39.653812],[-102.050594,39.675594],[-102.051569,39.849805],[-102.051744,40.003078],[-101.904176,40.003162],[-101.841025,40.002784],[-101.409953,40.002354],[-101.324036,40.002696],[-100.937427,40.002145],[-100.75883,40.002302],[-100.66023,40.002162],[-100.645445,40.001883],[-100.196959,40.001494],[-99.990926,40.001503],[-99.948167,40.001813],[-99.930433,40.001516],[-99.813401,40.0014],[-99.772121,40.001804],[-99.756835,40.001342],[-99.746628,40.00182],[-99.49766,40.001912],[-99.423565,40.00227],[-99.412645,40.001868],[-99.282967,40.001879],[-99.018701,40.002333],[-98.710404,40.00218],[-98.690287,40.002548],[-98.652494,40.002245],[-98.64071,40.002493],[-98.560578,40.002274],[-98.274017,40.002516],[-98.250008,40.002307],[-98.193483,40.002614],[-98.099659,40.002227],[-97.838379,40.00191],[-97.777155,40.002167],[-97.510264,40.001835],[-97.369199,40.00206],[-97.20231,40.001442],[-97.142448,40.001495],[-97.137866,40.001814],[-97.049663,40.001323],[-96.916093,40.001506],[-96.622401,40.001158],[-96.610349,40.000881],[-96.467536,40.001035],[-96.125937,40.000432],[-96.02409,40.000719],[-95.30829,39.999998],[-95.308404,39.993758],[-95.30778,39.990618],[-95.307111,39.989114],[-95.302507,39.984357],[-95.289715,39.977706],[-95.274757,39.972115],[-95.269886,39.969396],[-95.261854,39.960618],[-95.257652,39.954886],[-95.250254,39.948644],[-95.241383,39.944949],[-95.236761,39.943931],[-95.231114,39.943784],[-95.220212,39.944433],[-95.21644,39.943953],[-95.213737,39.943206],[-95.204428,39.938949],[-95.201277,39.934194],[-95.20069,39.928155],[-95.20201,39.922438],[-95.205745,39.915169],[-95.206326,39.912121],[-95.206196,39.909557],[-95.205733,39.908275],[-95.201935,39.904053],[-95.199347,39.902709],[-95.193816,39.90069],[-95.189565,39.899959],[-95.179453,39.900062],[-95.172296,39.902026],[-95.159834,39.906984],[-95.156024,39.907243],[-95.149657,39.905948],[-95.146055,39.904183],[-95.143802,39.901918],[-95.142563,39.897992],[-95.142445,39.89542],[-95.143403,39.889356],[-95.142718,39.885889],[-95.140601,39.881688],[-95.137092,39.878351],[-95.134747,39.876852],[-95.128166,39.874165],[-95.105912,39.869164],[-95.090158,39.86314],[-95.085003,39.861883],[-95.081534,39.861718],[-95.052535,39.864374],[-95.042142,39.864805],[-95.037767,39.865542],[-95.032053,39.868337],[-95.027931,39.871522],[-95.025422,39.876711],[-95.025119,39.878833],[-95.025947,39.886747],[-95.02524,39.8897],[-95.024389,39.891202],[-95.018743,39.897372],[-95.013152,39.899953],[-95.00844,39.900596],[-95.003819,39.900401],[-94.990284,39.89701],[-94.986975,39.89667],[-94.977749,39.897472],[-94.963345,39.901136],[-94.959276,39.901671],[-94.95154,39.900533],[-94.943867,39.89813],[-94.934493,39.893366],[-94.929574,39.888754],[-94.927897,39.886112],[-94.927359,39.883966],[-94.927252,39.880258],[-94.928466,39.876344],[-94.931463,39.872602],[-94.938791,39.866954],[-94.940743,39.86441],[-94.942407,39.861066],[-94.942567,39.856602],[-94.939767,39.85193],[-94.937655,39.849786],[-94.92615,39.841322],[-94.916918,39.836138],[-94.909942,39.834426],[-94.903157,39.83385],[-94.892677,39.834378],[-94.889493,39.834026],[-94.886933,39.833098],[-94.881013,39.828922],[-94.878677,39.826522],[-94.877044,39.823754],[-94.876544,39.820594],[-94.875944,39.813294],[-94.876344,39.806894],[-94.880932,39.797338],[-94.884084,39.794234],[-94.890292,39.791626],[-94.892965,39.791098],[-94.925605,39.789754],[-94.929654,39.788282],[-94.932726,39.786282],[-94.935206,39.78313],[-94.935782,39.778906],[-94.935302,39.77561],[-94.934262,39.773642],[-94.929653,39.769098],[-94.926229,39.76649],[-94.916789,39.760938],[-94.912293,39.759338],[-94.906244,39.759418],[-94.899156,39.761258],[-94.895268,39.76321],[-94.883924,39.770186],[-94.88146,39.771258],[-94.871144,39.772994],[-94.869644,39.772894],[-94.867143,39.771694],[-94.865243,39.770094],[-94.863143,39.767294],[-94.860743,39.763094],[-94.859443,39.753694],[-94.860371,39.74953],[-94.862943,39.742994],[-94.870143,39.734594],[-94.875643,39.730494],[-94.884143,39.726794],[-94.891744,39.724894],[-94.899316,39.724042],[-94.902612,39.724202],[-94.910068,39.725786],[-94.918324,39.728794],[-94.930005,39.73537],[-94.939221,39.741578],[-94.944741,39.744377],[-94.948726,39.745593],[-94.95263,39.745961],[-94.955286,39.745689],[-94.960086,39.743065],[-94.965318,39.739065],[-94.970422,39.732121],[-94.971206,39.729305],[-94.971078,39.723146],[-94.968453,39.707402],[-94.968981,39.692954],[-94.969909,39.68905],[-94.971317,39.68641],[-94.976325,39.68137],[-94.981557,39.678634],[-94.984149,39.67785],[-94.993557,39.67657],[-95.001379,39.676479],[-95.009023,39.675765],[-95.01531,39.674262],[-95.018318,39.672869],[-95.024595,39.668485],[-95.027644,39.665454],[-95.037464,39.652905],[-95.039049,39.649639],[-95.044554,39.64437],[-95.049518,39.637876],[-95.053367,39.630347],[-95.054925,39.624995],[-95.055152,39.621657],[-95.053012,39.613965],[-95.047911,39.606288],[-95.046445,39.601606],[-95.046361,39.599557],[-95.047165,39.595117],[-95.049277,39.589583],[-95.054804,39.582488],[-95.056897,39.580567],[-95.059519,39.579132],[-95.064519,39.577115],[-95.069315,39.576218],[-95.07216,39.576122],[-95.076688,39.576764],[-95.089515,39.581028],[-95.095736,39.580618],[-95.099095,39.579691],[-95.103228,39.577783],[-95.106406,39.575252],[-95.107454,39.573843],[-95.113077,39.559133],[-95.113557,39.553941],[-95.109304,39.542285],[-95.106596,39.537657],[-95.102888,39.533347],[-95.092704,39.524241],[-95.082714,39.516712],[-95.077441,39.513552],[-95.059461,39.506143],[-95.05638,39.503972],[-95.052177,39.499996],[-95.050552,39.497514],[-95.049845,39.494415],[-95.04837,39.48042],[-95.047133,39.474971],[-95.045716,39.472459],[-95.04078,39.466387],[-95.0375,39.463689],[-95.033408,39.460876],[-95.028498,39.458287],[-95.015825,39.452809],[-94.995768,39.448174],[-94.990172,39.446192],[-94.982144,39.440552],[-94.978798,39.436241],[-94.976606,39.426701],[-94.972952,39.421705],[-94.966066,39.417288],[-94.954817,39.413844],[-94.951209,39.411707],[-94.947864,39.408604],[-94.946293,39.405646],[-94.946662,39.399717],[-94.946227,39.395648],[-94.945577,39.393851],[-94.942039,39.389499],[-94.937158,39.386531],[-94.933652,39.385546],[-94.92311,39.384492],[-94.919225,39.385174],[-94.915859,39.386348],[-94.909581,39.388865],[-94.901823,39.392798],[-94.894979,39.393565],[-94.891845,39.393313],[-94.888972,39.392432],[-94.885026,39.389801],[-94.880979,39.383899],[-94.879281,39.37978],[-94.879088,39.375703],[-94.88136,39.370383],[-94.885216,39.366911],[-94.890928,39.364031],[-94.896832,39.363135],[-94.899024,39.362431],[-94.902497,39.360383],[-94.907297,39.356735],[-94.909409,39.354255],[-94.910017,39.352543],[-94.910641,39.348335],[-94.908065,39.323663],[-94.905329,39.311952],[-94.903137,39.306272],[-94.900049,39.300192],[-94.895217,39.294208],[-94.887056,39.28648],[-94.882576,39.283328],[-94.87832,39.281136],[-94.867568,39.277841],[-94.857072,39.273825],[-94.84632,39.268481],[-94.837855,39.262417],[-94.831471,39.256273],[-94.827487,39.249889],[-94.825663,39.241729],[-94.826111,39.238289],[-94.827791,39.234001],[-94.834896,39.223842],[-94.835056,39.220658],[-94.833552,39.217794],[-94.831679,39.215938],[-94.823791,39.209874],[-94.820687,39.208626],[-94.811663,39.206594],[-94.799663,39.206018],[-94.787343,39.207666],[-94.783838,39.207154],[-94.781518,39.206146],[-94.777838,39.203522],[-94.775543,39.200609],[-94.770338,39.190002],[-94.763138,39.179903],[-94.752338,39.173203],[-94.741938,39.170203],[-94.736537,39.169203],[-94.723637,39.169003],[-94.714137,39.170403],[-94.696332,39.178563],[-94.687236,39.183503],[-94.680336,39.184303],[-94.669135,39.182003],[-94.663835,39.179103],[-94.660315,39.168051],[-94.662435,39.157603],[-94.650735,39.154103],[-94.640035,39.153103],[-94.623934,39.156603],[-94.615834,39.160003],[-94.608834,39.160503],[-94.601733,39.159603],[-94.596033,39.157703],[-94.591933,39.155003],[-94.589933,39.140403],[-94.592533,39.135903],[-94.600434,39.128503],[-94.605734,39.122204],[-94.607034,39.119404],[-94.607354,39.113444],[-94.607234,39.065704],[-94.608334,38.981806],[-94.608134,38.940006],[-94.607866,38.937398],[-94.608033,38.847207],[-94.607625,38.82756],[-94.611602,38.635384],[-94.611465,38.625011],[-94.611858,38.620485],[-94.611887,38.580139],[-94.612176,38.576546],[-94.612157,38.549817],[-94.613365,38.403422],[-94.613312,38.364407],[-94.612673,38.314832],[-94.612658,38.217649],[-94.613856,38.149769],[-94.614212,37.992462],[-94.614465,37.987799],[-94.614612,37.944362],[-94.617721,37.77297],[-94.617975,37.722176],[-94.617651,37.687671],[-94.617885,37.682214],[-94.616789,37.52151],[-94.618505,37.181184],[-94.617875,37.056798],[-94.61808,36.998135],[-94.625224,36.998672],[-94.83128,36.998812],[-95.049499,36.99958],[-95.80798,36.999124],[-95.91018,36.999336],[-96.00081,36.99886],[-96.394272,36.999221],[-96.500288,36.998643],[-96.73659,36.999286],[-96.749838,36.998988],[-96.79206,36.99918],[-96.795199,36.99886],[-96.822791,36.999182],[-96.87629,36.999233],[-97.46228,36.998685],[-97.606549,36.998682],[-97.637137,36.99909],[-98.219499,36.997824],[-98.354073,36.997961],[-98.408991,36.998513],[-98.544872,36.998997],[-98.714512,36.99906],[-98.761597,36.999425],[-98.880009,36.999263],[-99.029337,36.999595],[-99.049695,36.999221],[-99.277506,36.999579],[-99.375391,37.000177],[-99.407015,36.999579],[-99.541116,36.999573]]]},\"properties\":{\"name\":\"Kansas\",\"nation\":\"USA \"}}]}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Brett T.","contributorId":351286,"corporation":false,"usgs":false,"family":"Miller","given":"Brett T.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neely, Ben C.","contributorId":351287,"corporation":false,"usgs":false,"family":"Neely","given":"Ben C.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chance-Ossowski, Connor J.","contributorId":351288,"corporation":false,"usgs":false,"family":"Chance-Ossowski","given":"Connor J.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters, Micah J.","contributorId":351289,"corporation":false,"usgs":false,"family":"Waters","given":"Micah J.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Salazar, Vanessa","contributorId":351290,"corporation":false,"usgs":false,"family":"Salazar","given":"Vanessa","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucas K. Kowalewski","contributorId":351291,"corporation":false,"usgs":false,"family":"Lucas K. Kowalewski","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928337,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kramer, Nicholas W.","contributorId":351292,"corporation":false,"usgs":false,"family":"Kramer","given":"Nicholas W.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lundgren, Seth A.","contributorId":351293,"corporation":false,"usgs":false,"family":"Lundgren","given":"Seth A.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":928339,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928340,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263970,"text":"70263970 - 2024 - Length in assessing status of freshwater fish populations: A review","interactions":[],"lastModifiedDate":"2025-03-04T15:50:34.260958","indexId":"70263970","displayToPublicDate":"2024-11-10T09:39:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Length in assessing status of freshwater fish populations: A review","docAbstract":"Effective policy formulation regarding the conservation of freshwater fish necessitates an understanding of water‐specific prevailing conditions and trends. Assessing fish populations in inland waters is difficult and expensive because there are many independent systems that need to be evaluated. Therefore, numerous freshwater systems are beset by insufficient data and the lack of systematic assessments of their status. To alleviate this deficiency, the objective of this study was to review length‐based metrics that may have utility in evaluating the well‐being of freshwater fish populations.
Length measurements can serve as proxies for a range of ecological and population dynamics attributes that are essential for the effective management of fish and associated fisheries. A review of the historical development of length measurements in fish conservation is provided, along with an examination of the potential biases that may arise from the use of lengths in practical contexts. In addition, we examine techniques that enable the spatial and temporal visualization of length data sets, as well as a range of indices and metrics that can be computed using length measurements.
Building populations assessments around length may be a cost‐effective strategy that allows a first cut at managing a large number of waters. Length‐based assessments can signal if management intervention is necessary, if management policies are yielding the intended outcome, or if surveys beyond mere length are necessary.
Our review indicates that length offers a straightforward and efficient approach to evaluate the status of fish populations in inland systems. We encourage pursuing additional study and to this end propose specific areas for investigation.
Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Hydrologic connectivity, the network of water pathways linking aquatic habitats, is vital for the exchange of organisms and abiotic materials between rivers and adjacent waterbodies. This study quantified hydrologic connectivity for 1,283 lakes in the Lower Mississippi River floodplain using satellite imagery, streamgauge data, and geospatial information. We aimed to assess connection frequency patterns between lakes and streams. Eight metrics describing temporal aspects of hydrologic connectivity were estimated, identifying trends by lake features and by stream size. Each lake exhibited a distinct pattern of connection, with specific months of connectivity followed by disconnection, likely influenced by lake characteristics and seasonal precipitation. Larger lakes showed increased connectivity, likely due to their surface area and volume, while smaller lakes were more prone to isolation, especially during dry periods. Lakes connected to large streams exhibited more prolonged and recurring connections, with less seasonal variation. In contrast, lakes near agricultural areas experienced reduced connectivity. However, local factors such as levees and artificial channels often disrupted these general trends. This hydrologic connectivity analysis can provide insight to support floodplain management, facilitate development of frameworks that restore connectivity, promote preservation of ecological integrity, and support management of invasive species spread in agricultural floodplains.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112808","usgsCitation":"Ahmad, H., Miranda, L.E., Dunn, C.G., Boudreau, M., and Colvin, M.E., 2024, Connectivity patterns between floodplain lakes and neighboring streams in the historical floodplain of the Lower Mississippi River: Ecological Indicators, v. 169, 112808, 12 p., https://doi.org/10.1016/j.ecolind.2024.112808.","productDescription":"112808, 12 p.","ipdsId":"IP-168197","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490657,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112808","text":"Publisher Index Page"},{"id":490406,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QIH9NJ","text":"USGS data release","linkHelpText":"Code for Connectivity patterns between floodplain lakes and neighboring streams in the historical floodplain of the Lower Mississippi River"},{"id":489294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Mississippi River floodplain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.30878420635052,\n 38.86158462464857\n ],\n [\n -92.32018351048195,\n 38.86158462464857\n ],\n [\n -92.32018351048195,\n 28.20085112656909\n ],\n [\n -88.30878420635052,\n 28.20085112656909\n ],\n [\n -88.30878420635052,\n 38.86158462464857\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"169","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahmad, Hafez","contributorId":353774,"corporation":false,"usgs":false,"family":"Ahmad","given":"Hafez","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":938775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":938776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Corey Garland 0000-0002-7102-2165","orcid":"https://orcid.org/0000-0002-7102-2165","contributorId":288691,"corporation":false,"usgs":true,"family":"Dunn","given":"Corey","email":"","middleInitial":"Garland","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":938777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boudreau, Melanie R.","contributorId":353778,"corporation":false,"usgs":false,"family":"Boudreau","given":"Melanie R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":938778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":331490,"corporation":false,"usgs":true,"family":"Colvin","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":938779,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260707,"text":"sir20235064I - 2024 - Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70260707,"text":"sir20235064I - 2024 - Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064I","publicationYear":"2024","noYear":false,"chapter":"I","displayTitle":"Peak Streamflow Trends in South Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2025-12-22T21:31:08.991933","indexId":"sir20235064I","displayToPublicDate":"2024-11-08T10:53:13","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":"2023-5064","chapter":"I","displayTitle":"Peak Streamflow Trends in South Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020","docAbstract":"Peak-flow (flood) frequency analysis is essential to water-resources management applications, including the design of critical infrastructure such as bridges and culverts, and floodplain mapping. Federal guidelines for performing peak-flow flood frequency analyses are presented in a U.S. Geological Survey Techniques and Methods Report known as Bulletin 17C. A basic assumption within Bulletin 17C, which documents the guidelines for determining annual peak streamflow frequency, is that, for basins without major hydrologic alterations (for example, regulation, diversion, and urbanization), statistical properties of the distribution of annual peak streamflows are stationary; that is, the mean, variance, and skew are constant through time. Nonstationarity is a statistical property of a peak-flow series such that the long-term (on the order of decades) distributional properties change one or more times either gradually or abruptly through time. Individual nonstationarities may be attributed to one source such as flow regulation, land-use change, or climate but are often the result of a combination of sources, making detection and attribution of nonstationarities challenging.
In response to a growing concern regarding nonstationarity in peak streamflows in the region, the U.S. Geological Survey, in cooperation with the Departments of Transportation of Illinois, Iowa, Michigan, Minnesota, Missouri, South Dakota, and Wisconsin; the Montana Department of Natural Resources and Conservation; and the North Dakota Department of Water Resources, assessed the potential nonstationarity in peak streamflows in the north-central United States. This chapter characterizes the effects of natural hydroclimatic shifts and potential climate change on annual peak streamflows in the State of South Dakota. Annual peak and daily streamflow as well as model-simulated gridded climatic data were examined for temporal monotonic trends, change points, and other statistical properties indicative of changing climatic and environmental conditions.
Changes in annual peak and daily flows were evaluated among 13, 35, and 81 qualifying U.S. Geological Survey streamgages for the 75-, 50-, and 30-year trend periods through water year 2020 (the period from October 1, 2019, to September 30, 2020) in South Dakota, respectively. No qualifying streamgages were in the 100-year trend period in the State. Statistical tests for autocorrelation (independent and identically distributed assumption), monotonic trends, and change points in the median and scale are analyzed to evaluate potential stationarity violations (nonstationarity) for performing at-site peak-flow flood-frequency analysis. The trends are reported using a likelihood approach as an alternative to simply reporting significant trends with an arbitrary p-value cutoff point.
A distinct east-west spatial pattern of likely upward and downward monotonic trends and change points, respectively, was detected in 75- and 50-year trend periods, but an inconsistent spatial pattern was detected in the 30-year trend period. Additionally, change points in the median annual peak streamflows were detected in the late 1970s and early 1980s in the western part of the State, but in the east, the change point was more commonly detected in 1992–93. A similar east-west spatial pattern of likely upward and downward trends was detected in the annual peak-flow timing, the day of the year of the annal peak streamflow. In the western part of the State, the annual peak streamflows are arriving earlier, but in the east, the annual peak streamflows are arriving later. A peaks-over-threshold (POT) analysis where, on average, there are two events per year (POT2) and four events per year (POT4) was also used to evaluate changes in the frequency (count) of daily streamflows exceeding the threshold. Similar to detected changes in the annual peak streamflow, an east-west likely upward or downward change corresponding to an increase or decrease, respectively, in the frequency of daily streamflow greater than a POT2 and POT4 threshold was detected.
A monthly water-balance model was used to evaluate hydroclimatic variation in annual and seasonal precipitation, snowfall, potential evapotranspiration, and soil moisture storage for all qualifying streamgages in the 75-, 50-, and 30-year trend periods. Detected trends in the annual hydroclimatic metrics for the 75- and 50-year trend periods indicate a spatially consistent statewide increase in precipitation, decrease in snowfall, increase in potential evapotranspiration, and increase in soil moisture storage. Furthermore, detected trends in seasonal precipitation in the 75- and 50-year trend periods highlight a pronounced change in precipitation in winter and later into the summer season, especially in the 50-year trend period in the eastern part of the State. Statewide increases in seasonal soil moisture storage were also detected, highlighting year-round increasing flood magnitudes, particularly in the eastern part of the State.
Based on the results of these stationarity tests for the qualifying streamgages in South Dakota among the 75-, 50-, and 30-year trend periods, consistent temporal and spatial patterns of nonstationarity were detected among the 75- and 50-year trend periods. Furthermore, when nonstationarity is detected in daily streamflow, increased streamflow and volume (increasing frequency in POT), as well as potentially bridge scour, may have implications on culvert and highway design in the eastern part of South Dakota. Thus, when performing at-site peak-flow flood-frequency analyses in South Dakota, potential nonstationarities and alternative approaches are important considerations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064I","collaboration":"Prepared in cooperation with the South Dakota Department of Transportation","usgsCitation":"Barth, N.A., and Sando, S.K., 2024, Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020, chap. I of Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 70 p., https://doi.org/10.3133/sir20235064I.","productDescription":"Report: x, 70 p.; Data Release; Dataset","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-146340","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":497916,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117775.htm","linkFileType":{"id":5,"text":"html"}},{"id":463794,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235064I/full"},{"id":463793,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R71WWZ","text":"USGS data release","linkHelpText":"Peak streamflow data, climate data, and results from investigating hydroclimatic trends and climate change effects on peak streamflow in the Central United States, 1920–2020"},{"id":463788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/coverthb.jpg"},{"id":463792,"rank":5,"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":463791,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/images/"},{"id":463790,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/sir20235064i.XML"},{"id":463789,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5064/i/sir20235064i.pdf","text":"Report","size":"17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5064–I"}],"country":"United States","state":"South Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.054487,44.180381],[-104.055914,44.874986],[-104.057698,44.997431],[-104.039681,44.998041],[-104.040114,45.374214],[-104.045443,45.94531],[-100.430597,45.943638],[-99.005754,45.939944],[-98.414518,45.936504],[-96.56328,45.935238],[-96.564002,45.91956],[-96.56703,45.915682],[-96.56442,45.909415],[-96.568315,45.902902],[-96.568772,45.888072],[-96.571354,45.886673],[-96.571871,45.871846],[-96.574667,45.866816],[-96.572984,45.861602],[-96.574517,45.843098],[-96.583085,45.820024],[-96.596704,45.811801],[-96.612512,45.794442],[-96.627778,45.786239],[-96.638726,45.770171],[-96.641941,45.759871],[-96.652226,45.746809],[-96.662595,45.738682],[-96.672665,45.732336],[-96.711157,45.717561],[-96.745086,45.701576],[-96.75035,45.698782],[-96.760866,45.687518],[-96.835769,45.649648],[-96.844211,45.639583],[-96.852392,45.61484],[-96.857751,45.605962],[-96.801987,45.555414],[-96.79384,45.550724],[-96.76528,45.521414],[-96.745487,45.488712],[-96.743486,45.480649],[-96.738446,45.473499],[-96.732739,45.458737],[-96.692541,45.417338],[-96.680454,45.410499],[-96.617726,45.408092],[-96.60118,45.403181],[-96.562142,45.38609],[-96.521787,45.375645],[-96.489065,45.357071],[-96.469246,45.324941],[-96.468027,45.318619],[-96.46191,45.313884],[-96.453067,45.298115],[-96.451232,44.718375],[-96.453049,43.500415],[-96.598928,43.500457],[-96.599182,43.496011],[-96.586274,43.491099],[-96.580997,43.481384],[-96.586364,43.478251],[-96.584603,43.46961],[-96.587929,43.464878],[-96.600039,43.45708],[-96.60286,43.450907],[-96.594254,43.434153],[-96.587884,43.431685],[-96.575181,43.431756],[-96.570224,43.428601],[-96.573579,43.419228],[-96.562728,43.412782],[-96.557586,43.406792],[-96.537116,43.395063],[-96.531159,43.39561],[-96.529152,43.397735],[-96.525453,43.396317],[-96.521572,43.38564],[-96.521323,43.374607],[-96.526467,43.368314],[-96.527223,43.362257],[-96.526635,43.351833],[-96.524289,43.347214],[-96.534913,43.336473],[-96.528817,43.316561],[-96.525564,43.312467],[-96.530392,43.300034],[-96.553087,43.29286],[-96.555246,43.294803],[-96.56911,43.295535],[-96.573556,43.29917],[-96.581052,43.297118],[-96.579094,43.293797],[-96.577588,43.2788],[-96.580904,43.2748],[-96.582876,43.274594],[-96.582939,43.276536],[-96.586317,43.274319],[-96.58522,43.268878],[-96.576804,43.268308],[-96.564165,43.260239],[-96.554968,43.259998],[-96.552591,43.257769],[-96.552963,43.247281],[-96.565253,43.244241],[-96.571194,43.238961],[-96.568505,43.231554],[-96.56044,43.224219],[-96.554937,43.226775],[-96.540088,43.225698],[-96.535741,43.22764],[-96.526865,43.224071],[-96.519273,43.21769],[-96.500759,43.220767],[-96.496454,43.223652],[-96.485264,43.224183],[-96.476697,43.222014],[-96.470626,43.207225],[-96.473777,43.198766],[-96.473834,43.189804],[-96.472395,43.185644],[-96.465146,43.182971],[-96.467292,43.164066],[-96.466537,43.150281],[-96.459978,43.143516],[-96.450361,43.142237],[-96.443431,43.133825],[-96.440801,43.123129],[-96.436589,43.120842],[-96.439335,43.113916],[-96.462855,43.091419],[-96.462636,43.089614],[-96.455337,43.088129],[-96.454088,43.084197],[-96.455209,43.075053],[-96.46085,43.064033],[-96.468207,43.06186],[-96.473165,43.06355],[-96.476905,43.062383],[-96.490365,43.050789],[-96.501748,43.048632],[-96.510256,43.049917],[-96.518431,43.042068],[-96.509145,43.037297],[-96.512916,43.029962],[-96.510995,43.024701],[-96.499187,43.019213],[-96.49167,43.009707],[-96.496699,42.998807],[-96.509986,42.995126],[-96.512886,42.991424],[-96.512237,42.985937],[-96.516724,42.981458],[-96.520773,42.980385],[-96.515922,42.972886],[-96.506148,42.971348],[-96.503132,42.968192],[-96.500308,42.959391],[-96.504857,42.954659],[-96.509472,42.945151],[-96.519994,42.93976],[-96.516419,42.935438],[-96.516888,42.932512],[-96.525536,42.935511],[-96.541689,42.922576],[-96.536564,42.905656],[-96.542847,42.903737],[-96.539397,42.899964],[-96.536007,42.900901],[-96.528886,42.89795],[-96.526357,42.891852],[-96.540116,42.889678],[-96.537851,42.878475],[-96.546394,42.874464],[-96.549659,42.870281],[-96.550469,42.863742],[-96.546556,42.857273],[-96.541708,42.858871],[-96.545502,42.849956],[-96.554709,42.846142],[-96.554203,42.843648],[-96.549976,42.840705],[-96.551285,42.836606],[-96.556162,42.836675],[-96.560572,42.839373],[-96.56284,42.836309],[-96.563058,42.831051],[-96.565605,42.830434],[-96.571353,42.837155],[-96.581604,42.837521],[-96.58238,42.833657],[-96.577813,42.828719],[-96.585699,42.818041],[-96.596008,42.815044],[-96.595664,42.810426],[-96.590913,42.808987],[-96.595283,42.792982],[-96.602575,42.787767],[-96.603784,42.78372],[-96.61949,42.784034],[-96.626406,42.773518],[-96.632142,42.770863],[-96.632212,42.761512],[-96.628741,42.757532],[-96.621235,42.758084],[-96.619494,42.754792],[-96.630485,42.750378],[-96.639704,42.737071],[-96.631931,42.725086],[-96.624704,42.725497],[-96.624446,42.714294],[-96.630617,42.70588],[-96.612555,42.698402],[-96.61017,42.694568],[-96.59908,42.697296],[-96.596625,42.695122],[-96.596405,42.688514],[-96.58562,42.687076],[-96.575299,42.682665],[-96.574064,42.67801],[-96.578148,42.672765],[-96.572261,42.670776],[-96.569194,42.675509],[-96.566684,42.675942],[-96.556244,42.664396],[-96.5599,42.662819],[-96.559962,42.658543],[-96.556214,42.657949],[-96.546827,42.661491],[-96.542366,42.660736],[-96.537877,42.655431],[-96.537881,42.646446],[-96.526766,42.641184],[-96.516338,42.630435],[-96.515918,42.624994],[-96.518542,42.62035],[-96.530896,42.617129],[-96.529894,42.610432],[-96.525671,42.609312],[-96.517048,42.615343],[-96.509468,42.61273],[-96.500183,42.594106],[-96.501037,42.589247],[-96.494777,42.585741],[-96.49545,42.579474],[-96.485796,42.575001],[-96.489328,42.5708],[-96.498709,42.57087],[-96.498041,42.558153],[-96.476952,42.556079],[-96.479909,42.524195],[-96.490802,42.520331],[-96.49297,42.517282],[-96.490089,42.512441],[-96.477454,42.509589],[-96.473339,42.503537],[-96.476909,42.497795],[-96.476509,42.493595],[-96.474409,42.491895],[-96.46255,42.490788],[-96.456348,42.492478],[-96.443408,42.489495],[-96.478792,42.479635],[-96.501321,42.482749],[-96.508587,42.486691],[-96.515891,42.49427],[-96.520683,42.504761],[-96.528753,42.513273],[-96.538036,42.518131],[-96.548791,42.520547],[-96.567896,42.517877],[-96.591121,42.50541],[-96.603468,42.50446],[-96.611489,42.506088],[-96.625958,42.513576],[-96.628179,42.516963],[-96.632882,42.528987],[-96.63533,42.54764],[-96.643589,42.557604],[-96.658754,42.566426],[-96.681369,42.574486],[-96.7093,42.603753],[-96.711546,42.614758],[-96.709485,42.621932],[-96.687788,42.645992],[-96.687082,42.652093],[-96.691269,42.6562],[-96.728024,42.666882],[-96.746949,42.666223],[-96.76406,42.661985],[-96.793238,42.666024],[-96.800986,42.669758],[-96.802178,42.672237],[-96.800485,42.692466],[-96.801652,42.698774],[-96.806219,42.704149],[-96.843419,42.712024],[-96.860436,42.720797],[-96.886845,42.725222],[-96.906797,42.7338],[-96.924156,42.730327],[-96.948902,42.719465],[-96.961576,42.719841],[-96.964776,42.722455],[-96.965833,42.727096],[-96.96123,42.740623],[-96.96888,42.754278],[-96.97912,42.76009],[-96.99282,42.759481],[-97.02485,42.76243],[-97.033229,42.765904],[-97.065592,42.772189],[-97.096128,42.76934],[-97.131331,42.771929],[-97.134461,42.774494],[-97.138216,42.783428],[-97.150763,42.795566],[-97.166978,42.802087],[-97.200431,42.805485],[-97.210126,42.809296],[-97.213084,42.813007],[-97.213957,42.820143],[-97.218269,42.829561],[-97.217411,42.843519],[-97.218825,42.845848],[-97.237868,42.853139],[-97.251764,42.855432],[-97.267946,42.852583],[-97.289859,42.855499],[-97.306677,42.867604],[-97.336156,42.856802],[-97.359569,42.854816],[-97.368643,42.858419],[-97.376695,42.865195],[-97.393966,42.86425],[-97.408315,42.868334],[-97.417066,42.865918],[-97.431951,42.851542],[-97.442279,42.846224],[-97.452177,42.846048],[-97.470529,42.850455],[-97.49149,42.851625],[-97.504847,42.858477],[-97.531867,42.850105],[-97.561928,42.847552],[-97.591916,42.853837],[-97.603762,42.858329],[-97.611811,42.858367],[-97.657846,42.844626],[-97.686506,42.842435],[-97.72045,42.847439],[-97.774456,42.849774],[-97.817075,42.861781],[-97.828496,42.868797],[-97.84527,42.867734],[-97.875345,42.858724],[-97.877003,42.854394],[-97.875849,42.847725],[-97.878976,42.843673],[-97.879878,42.835395],[-97.888562,42.817251],[-97.908983,42.794909],[-97.921434,42.788352],[-97.936716,42.775754],[-97.950147,42.769619],[-97.977588,42.769923],[-98.000348,42.763256],[-98.017228,42.762411],[-98.035034,42.764205],[-98.059838,42.772772],[-98.062913,42.781119],[-98.067388,42.784759],[-98.094574,42.799309],[-98.107688,42.810633],[-98.127489,42.820127],[-98.137912,42.832728],[-98.146933,42.839823],[-98.167523,42.836925],[-98.189765,42.841628],[-98.219826,42.853157],[-98.25181,42.872824],[-98.280007,42.874996],[-98.325864,42.8865],[-98.34623,42.902747],[-98.42074,42.931924],[-98.430934,42.931504],[-98.437285,42.928393],[-98.444145,42.929242],[-98.448309,42.936428],[-98.467356,42.947556],[-98.490483,42.977948],[-98.49855,42.99856],[-100.472742,42.999288],[-101.625424,42.996238],[-101.849982,42.999329],[-104.053127,43.000585],[-104.055488,43.853476],[-104.054487,44.180381]]]},\"properties\":{\"name\":\"South Dakota\",\"nation\":\"USA \"}}]}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
The biological feasibility of introducing Rocky Mountain bighorn sheep (Ovis canadensis canadensis) to the Dulce area of the Jicarilla Apache Nation (JAN) depends on availability and condition of potential habitat and the potential for disease risk, as pneumonia is the largest current threat to wild sheep populations. We modeled quality and quantity of potential bighorn sheep habitat incorporating the three most recent fire scars around Dulce, determined potential winter range within preferred habitat, assessed on the ground vegetation characteristics, and examined potential for disease transmission via risk of contact with domestic sheep and goats. Most of the area of interest for this study has a suitability value ≥ 50%, with approximately 23-29% of the study area considered preferred, or high-quality habitat for bighorn sheep. High-quality habitat for Rocky Mountain bighorn sheep is defined as being within 300 m of escape terrain, within 1.6 km of water, and containing ≤ 30% shrub and tree cover. Of this, approximately 43-56% of potential preferred habitat qualifies as winter range, which is mostly concentrated in the narrow valley bottoms where roads are commonly located and the south-facing slopes surrounding valleys. Analysis of field-collected vegetation data indicate most of the existing forage within the surveyed area to be of moderate or high forage value to bighorn sheep, but horizontal visibility, predominantly in the form of shrubs, is more obscured than what bighorn sheep prefer for most of the area of interest. Maximum shrub and tree cover is also the most limiting factor in the suitability model, primarily due to the prevalence of dense shrub regeneration, particularly Gambel oak, which occurs after high severity burns. The largest quantities of high-quality potential bighorn sheep habitat within the study area occur in unburned areas or those burnt by the predominantly low-moderate severity Amargo fire in 2021. Relative to risk of contact with domestic sheep and goats that can transmit lethal pneumonia-causing pathogens, potentially causing an introduction effort to fail, there is high risk because of the proximity to two hobby-subsistence herds (< 3 km away).
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/10.3996/css73616801","usgsCitation":"Thompson, C.J., and Cain, J.W., 2024, Biological feasibility of introducing bighorn sheep to the Jicarilla Apache Nation: Cooperator Science Series CSS-159-2024, 80 p., https://doi.org/10.3996/10.3996/css73616801.","productDescription":"80 p.","ipdsId":"IP-167003","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494875,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/biological-feasibility-introducing-bighorn-sheep-jicarilla-apache-nation","linkFileType":{"id":5,"text":"html"}},{"id":495006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jicarilla Apache Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.01771249033892,\n 36.99249959403626\n ],\n [\n -107.5487950989812,\n 36.99249959403626\n ],\n [\n -107.5487950989812,\n 36.05621273485714\n ],\n [\n -106.01771249033892,\n 36.05621273485714\n ],\n [\n -106.01771249033892,\n 36.99249959403626\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Cara J.","contributorId":360559,"corporation":false,"usgs":false,"family":"Thompson","given":"Cara","middleInitial":"J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":947210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":947211,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70260845,"text":"70260845 - 2024 - Riparian methylmercury production increases riverine mercury flux and food web concentrations","interactions":[],"lastModifiedDate":"2025-02-07T16:28:17.344914","indexId":"70260845","displayToPublicDate":"2024-11-08T09:57:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Riparian methylmercury production increases riverine mercury flux and food web concentrations","docAbstract":"The production and uptake of toxic methylmercury (MeHg) impacts aquatic ecosystems globally. Rivers can be dynamic and difficult systems to study for MeHg production and bioaccumulation, hence identifying sources of MeHg to these systems is both challenging and important for resource management within rivers and main-stem reservoirs. Riparian zones, which are known biogeochemical hotspots for MeHg production, are understudied as potential sources of MeHg to rivers. Here, we present a comprehensive quantification of the hydrologic and biogeochemical processes governing MeHg concentrations, loads, and bioaccumulation at 16 locations along 164 km of the agriculturally intensive Snake River (Idaho, Oregon USA) during summer baseflow conditions, with emphasis on riparian production of MeHg. Approximately one-third of the MeHg load of the Snake River could not be attributed to inflowing waters (upgradient, tributaries, or irrigation drains). Across the study reach, increases in MeHg loads in surface waters were significantly correlated with MeHg concentrations in riparian porewaters, suggesting riparian zones were likely an important source of MeHg to the Snake River. Across all locations, MeHg concentrations in surface waters positively correlated with MeHg concentrations in benthic snails and clams, supporting that riparian produced MeHg was assimilated into local aquatic food webs. This study contributes new insights into riparian MeHg production within rivers which can inform mitigation efforts to reduce MeHg bioaccumulation in fish.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c08585","usgsCitation":"Krause, V., Baldwin, A.K., Peterson, B.D., Krabbenhoft, D.P., Janssen, S., Willacker, J., Eagles-Smith, C., and Poulin, B., 2024, Riparian methylmercury production increases riverine mercury flux and food web concentrations: Environmental Science & Technology, v. 58, no. 46, p. 20490-20501, https://doi.org/10.1021/acs.est.4c08585.","productDescription":"12 p.","startPage":"20490","endPage":"20501","ipdsId":"IP-168495","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":463875,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466774,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c08585","text":"Publisher Index Page"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.76519965515584,\n 44.99304074681157\n ],\n [\n -117.75863076747619,\n 42.94336107731144\n ],\n [\n -116.17776769472738,\n 42.9364463608284\n ],\n [\n -116.25927931073849,\n 44.985691191051046\n ],\n [\n -117.76519965515584,\n 44.99304074681157\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","issue":"46","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Krause, Virginia","contributorId":346163,"corporation":false,"usgs":false,"family":"Krause","given":"Virginia","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":918280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Benjamin D.","contributorId":328487,"corporation":false,"usgs":false,"family":"Peterson","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":918282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918286,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":918287,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70260481,"text":"ofr20241051 - 2024 - Upper Mississippi River System hydrogeomorphic change conceptual model and hierarchical classification","interactions":[],"lastModifiedDate":"2025-12-22T21:33:00.464442","indexId":"ofr20241051","displayToPublicDate":"2024-11-07T14:56:42","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1051","displayTitle":"Upper Mississippi River System Hydrogeomorphic Change Conceptual Model and Hierarchical Classification","title":"Upper Mississippi River System hydrogeomorphic change conceptual model and hierarchical classification","docAbstract":"Understanding the geomorphic processes and causes for long-term hydrogeomorphic changes along the Upper Mississippi River System (UMRS) is necessary for scientific studies ranging from habitat needs assessments, sediment transport, and nutrient processing, and making sound management decisions and prioritizing ecological restoration activities. From 2018 through 2020 the U.S. Geological Survey and U.S. Army Corps of Engineers led a series of calls and meetings, and a workshop to develop a draft UMRS hydrogeomorphic change conceptual model and hierarchical classification scheme. This project was funded through an Upper Mississippi River Restoration 2018 science in support of restoration proposal entitled, “Conceptual Model and Hierarchical Classification of Hydrogeomorphic Settings in the Upper Mississippi River System.” This report documents the background leading up to and the major findings from the workshop. The resulting conceptual model focuses on the drivers and boundary conditions that affect the major hydrogeomorphic processes along the valley corridor using a continuum of spatial and temporal scales and resolutions. The draft hierarchical classification was based on three existing and three new nested geospatial datasets that ultimately can be used to characterize hydrogeomorphic settings that span the UMRS valley corridor. The conceptual model and hierarchical classification will help characterize recent (mid-1990s through mid-2010s) decadal-scale processes and sources for potential hydrogeomorphic change that span a range of spatial scales from watershed hydrology and sediment sources to channel hydraulics and sediment transport.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241051","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Fitzpatrick, F.A., Rogala, J.T., Hendrickson, J.S., Sawyer, L., Stone, J., Erwin, S., Brauer, E.J., and Vaughan, A.A., 2024, Upper Mississippi River System hydrogeomorphic change conceptual model and hierarchical classification: U.S. Geological Survey Open-File Report 2024–1051, 24 p., https://doi.org/10.3133/ofr20241051.","productDescription":"vi, 24 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154820","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":463608,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1051/ofr20241051.pdf","text":"Report","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1051"},{"id":463607,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1051/coverthb.jpg"},{"id":463611,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241051/full"},{"id":463609,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1051/ofr20241051.XML"},{"id":463610,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1051/images/"},{"id":497918,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117772.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois, Indiana, Iowa, Minnesota, Missouri, South Dakota, Wisconsin","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.50342683246095,\n 40.74721296729754\n ],\n [\n -86.22485822523954,\n 41.12212957640983\n ],\n [\n -86.47633619015835,\n 41.49085772032035\n ],\n [\n -87.70997806528162,\n 41.54161184649007\n ],\n [\n -87.96780499446993,\n 42.13710516972478\n ],\n [\n -88.45256695171824,\n 43.2601947483673\n ],\n [\n -88.90796053029793,\n 43.953704040844826\n ],\n [\n -89.31966888436784,\n 43.88619768580165\n ],\n [\n -88.82098034404291,\n 45.84620970391856\n ],\n [\n -89.77751644898966,\n 46.14284357021026\n ],\n [\n -92.3836871160787,\n 46.36717699384113\n ],\n [\n -93.57654031001726,\n 47.5843117955113\n ],\n [\n -96.69363739805445,\n 47.520997934475815\n ],\n [\n -96.5298693029927,\n 46.26717241479707\n ],\n [\n -97.88294379082475,\n 46.288663271101996\n ],\n [\n -96.96809715353103,\n 45.32804185048016\n ],\n [\n -95.79932895452089,\n 43.51835880034011\n ],\n [\n -93.73471399415848,\n 39.80187490699902\n ],\n [\n -90.99752932951242,\n 36.93622008574626\n ],\n [\n -89.6631770431625,\n 36.64968232220457\n ],\n [\n -89.28540446277691,\n 37.166100746132656\n ],\n [\n -87.50342683246095,\n 40.74721296729754\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"To observe real-time pier scour at three scour-critical sites in Idaho, the U.S. Geological Survey, in cooperation with Idaho Transportation Department, installed and operated fixed real-time (15-minute interval) bed elevation scour sonar sensors at three bridge locations associated with U.S. Geological Survey streamflow gaging stations for water years 2020 through 2022. Daily mean and peak streamflow conditions during the 3-year study were at or below average except for the peak flow in 2022. Each of the three sites included in the study had a coarse bed with an armored channel. Observed pier scour at each of the three sites was less than 20 percent than the stated minimum depth to the pier pile tip. The below average daily mean and peak streamflow during the study period may have resulted in below average scour.
Observed pier scour data during spring runoff (water years 2020–22) were compared to both Coarse Bed and Hydraulic Engineering Circular 18 (HEC-18) general pier scour design equation estimates to better understand how the observed pier scour data compared to design pier scour equation estimates during the same observational periods. For the 3-year study period, the Coarse Bed design equation generally overpredicted scour by about 2.5 times less than the HEC-18 general pier scour equation. The risk associated with each design equation was summarized using a reliability index to describe how each prediction might be expected to reliably overestimate scour depth. Overall, the Coarse Bed design scour equation provided more reasonable scour depth estimates than the HEC-18 general pier scour equation but with more risk to underestimating scour depth. Because these data are limited (3 sites, 3 years, and during average streamflow conditions), further research is needed to compare observed scour data to estimates predicted by the Coarse Bed design equation and other design equations.
This study demonstrated that real-time pier scour monitoring is a useful method and countermeasure at critical bridge sites. A recently developed rapid deployment real-time pier scour monitoring method may be a useful method to consider for future studies. Real-time monitoring at scour critical sites may be a useful tool to confirm previous scour evaluation estimates where site inspection scour observations conflict with the scour evaluation estimates. Considering alternative scour monitoring and evaluation methods, including the rapid estimation method, and updating pier scour calculations using the most recent coarse-bed pier scour equation may offer a more cost-effective solution to identifying and updating scour critical coding for bridges in Idaho. For scour critical bridge sites, the real-time pier scour monitoring methods used for this study provided an effective real-time local pier scour monitoring countermeasure.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245095","collaboration":"Prepared in cooperation with the Idaho Transportation Department","usgsCitation":"Fosness, R.L., and Schauer, P.V., 2024, Real-time pier scour monitoring and observations at three scour-critical sites in Idaho, water years 2020–22: U.S. Geological Survey Scientific Investigations Report 2024–5095, 23 p., https://doi.org/10.3133/sir20245095.","productDescription":"Report; vii, 23 p.p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128131","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":497921,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117770.htm","linkFileType":{"id":5,"text":"html"}},{"id":463605,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5095/images"},{"id":463604,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90332LD","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydraulic assessment summary at selected real-time pier scour monitoring sites in Idaho, 2020–2022"},{"id":463603,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245095/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5095"},{"id":463602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5095"},{"id":463601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.jpg"},{"id":463606,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5095/sir20245095.XML"}],"country":"United States","state":"Idaho","otherGeospatial":"Boise River, Payette River, St. Joe River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.19181903119929,\n 47.27634704869766\n ],\n [\n -116.19181903119929,\n 47.2713170479783\n ],\n [\n -116.18399082696462,\n 47.2713170479783\n ],\n [\n -116.18399082696462,\n 47.27634704869766\n ],\n [\n -116.19181903119929,\n 47.27634704869766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.98113730832642,\n 43.79475425455084\n ],\n [\n -116.98113730832642,\n 43.738517550064955\n ],\n [\n -116.90322501094207,\n 43.738517550064955\n ],\n [\n -116.90322501094207,\n 43.79475425455084\n ],\n [\n -116.98113730832642,\n 43.79475425455084\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.64141007600492,\n 43.905644822917225\n ],\n [\n -116.64141007600492,\n 43.88897692930604\n ],\n [\n -116.61377308255302,\n 43.88897692930604\n ],\n [\n -116.61377308255302,\n 43.905644822917225\n ],\n [\n -116.64141007600492,\n 43.905644822917225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702-4250