Data were collected at two monitoring sites along the Little Arkansas River in south-central Kansas that bracket most of the easternmost part of the Equus Beds aquifer. The data were used as part of the city of Wichita’s aquifer storage and recovery project to evaluate source water quality. The U.S. Geological Survey, in cooperation with the City of Wichita, has continued to monitor the water quality of these sites through 2019 to update previously published regression-based models using continuously measured physicochemical properties and discretely sampled water-quality constituents of interest. The purpose of this report is to provide an update of the previously published linear regression models that have been used to continuously compute estimates of water-quality constituent concentrations or densities at these two sites. Water-quality constituent model updates include those for dissolved and suspended solids, suspended-sediment concentration, hardness, alkalinity, primary ions (bicarbonate, calcium, sodium, chloride, and sulfate), nutrients (total Kjeldahl nitrogen and total phosphorus), total organic carbon, indicator bacteria (Escherichia coli and fecal coliform bacteria), a trace element (arsenic), and a pesticide (atrazine).
Regression analyses were used to develop surrogate models that related continuously measured physicochemical properties, streamflow, and seasonal components to discretely sampled water-quality constituent concentrations or densities. Specific conductance was an explanatory variable for dissolved solids, primary ions, and atrazine. Turbidity was an explanatory variable for total suspended solids and sediment, nutrients, total organic carbon, and indicator bacteria. Streamflow and water temperature were explanatory variables for dissolved arsenic. Seasonal components were included as explanatory variables for atrazine models. The amount of variance explained by most of the updated models was within 5 percent of previously published models.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221010","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Stone, M.L., and Klager, B.J., 2022, Documentation of models describing relations between continuous real-time and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998–2019: U.S. Geological Survey Open-File Report 2022–1010, 34 p., https://doi.org/10.3133/ofr20221010.","productDescription":"Report: vii, 34 p.; 2 Appendixes; Dataset","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-126572","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":397345,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221010/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":397333,"rank":7,"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":397331,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2022/1010/ofr20221010_appendix1.zip","text":"Appendix 1","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"—Model Archive Summaries for the Little Arkansas River at Highway 50 near Halstead, Kansas (Halstead Site; U.S. Geological Survey Station Number 07143672)"},{"id":501756,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112715.htm","linkFileType":{"id":5,"text":"html"}},{"id":397330,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1010/images"},{"id":397332,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2022/1010/ofr20221010_appendix2.zip","text":"Appendix 2","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"—Model Archive Summaries for the Little Arkansas River near Sedgwick, Kansas (Sedgwick Site; U.S. Geological Survey Station Number 07144100)"},{"id":397329,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1010/ofr20221010.XML"},{"id":397328,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1010/ofr20221010.pdf","text":"Report","size":"1.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1010"},{"id":397327,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1010/coverthb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Little Arkansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.1667,\n 37.714244967649265\n ],\n [\n -97.1667,\n 37.714244967649265\n ],\n [\n -97.1667,\n 38.533333\n ],\n [\n -98.1667,\n 38.533333\n ],\n [\n -98.1667,\n 37.714244967649265\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049
Coregonine fishes are important to Laurentian Great Lakes food webs and fisheries and are central to basin-wide conservation initiatives. In Lake Ontario, binational management objectives include conserving and restoring spawning stocks of cisco (Coregonus artedi) and lake whitefish (C. clupeaformis), but the spatial extent of contemporary coregonine spawning habitat and the environmental factors regulating early life success are not well characterized. In Spring 2018, we conducted a binational ichthyoplankton assessment to describe the spatial extent of coregonine spawning habitat across Lake Ontario. We then quantified the relative importance of a suite of biophysical variables hypothesized to influence coregonine early life success using generalized additive mixed models and multimodel inference. Between April 10 and May 14, we conducted 1,092 ichthyoplankton tows and captured 2,350+ coregonine larvae across 17 sampling areas, predominantly within embayments. Although 95% of catches were in the eastern basin, coregonine larvae were also found in historical south shore spawning areas. Most coregonine larvae were cisco; <6% were lake whitefish. Observed catches of both species across sampling areas were strongly and similarly associated with ice cover duration, but the importance of site-specific characteristics varied, such as distance to shore and site depth for cisco and lake whitefish, respectively. These results suggest that regional-scale climatic drivers and local environmental habitat characteristics interact to regulate early life stage success. Furthermore, strong regional and cross-species variation in larval distributions emphasize the importance of lake-wide assessments for monitoring both the current eastern basin populations and potential expansions into western Lake Ontario habitats.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.07.009","usgsCitation":"Taylor A. Brown, Sethi, S., Lars G. Rudstam, Jeremy P. Holden, Michael J. Connerton, Dimitry Gorsky, Curtis T. Karboski, Chalupnicki, M., Nicholas M. Sard, Roseman, E., Scott E. Prindle, Matthew J. Sanderson, Thomas M. Evans, Cooper, A., Reinhart, D., Cameron David, and Weidel, B., 2022, Contemporary spatial extent and environmental drivers of larval coregonine distributions across Lake Ontario: Journal of Great Lakes Research, v. 48, no. 2, p. 359-370, https://doi.org/10.1016/j.jglr.2021.07.009.","productDescription":"12 p.","startPage":"359","endPage":"370","ipdsId":"IP-126583","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.925537109375,\n 43.265206318396025\n ],\n [\n -79.8101806640625,\n 43.281204464332745\n ],\n [\n -79.5904541015625,\n 43.18515250937298\n ],\n [\n -79.3597412109375,\n 43.16512263158296\n ],\n [\n -79.1839599609375,\n 43.193162620926074\n ],\n [\n -78.9532470703125,\n 43.27320591705845\n ],\n [\n -78.6236572265625,\n 43.329173667843904\n ],\n [\n -78.4259033203125,\n 43.369119087738554\n ],\n [\n -78.189697265625,\n 43.35713822211053\n ],\n [\n -78.123779296875,\n 43.35713822211053\n ],\n [\n -77.95898437499999,\n 43.35314407444698\n ],\n [\n -77.750244140625,\n 43.32517767999296\n ],\n [\n -77.596435546875,\n 43.23719944365308\n ],\n [\n -77.51953125,\n 43.197167282501276\n ],\n [\n -77.5140380859375,\n 43.241201214257885\n ],\n [\n -77.3602294921875,\n 43.26920624914964\n ],\n [\n -77.14050292968749,\n 43.27720532212024\n ],\n [\n -77.01416015625,\n 43.26120612479979\n ],\n [\n -76.89880371093749,\n 43.213183300738876\n ],\n [\n -76.904296875,\n 43.26920624914964\n ],\n [\n -76.7340087890625,\n 43.32517767999296\n ],\n [\n -76.6461181640625,\n 43.37311218382002\n ],\n [\n -76.5966796875,\n 43.42898792344155\n ],\n [\n -76.48681640625,\n 43.48082639482503\n ],\n [\n -76.4208984375,\n 43.50872101129684\n ],\n [\n -76.365966796875,\n 43.52465500687185\n ],\n [\n -76.31103515625,\n 43.51270490464819\n ],\n [\n -76.2396240234375,\n 43.51270490464819\n ],\n [\n -76.17919921875,\n 43.624147145668076\n ],\n [\n -76.1407470703125,\n 43.6599240747891\n ],\n [\n -76.1846923828125,\n 43.691707903073805\n ],\n [\n -76.1956787109375,\n 43.78299262890581\n ],\n [\n -76.201171875,\n 43.8503744993026\n ],\n [\n -76.0968017578125,\n 43.91768033000405\n ],\n [\n -75.9979248046875,\n 44.008620115415354\n ],\n [\n -76.1297607421875,\n 44.08363928284644\n ],\n [\n -76.300048828125,\n 44.14279782818058\n ],\n [\n -76.3934326171875,\n 44.17826452922573\n ],\n [\n -76.453857421875,\n 44.25700308645885\n ],\n [\n -76.629638671875,\n 44.25700308645885\n ],\n [\n -76.8109130859375,\n 44.17038488259618\n ],\n [\n -76.97021484375,\n 44.08758502824516\n ],\n [\n -77.069091796875,\n 44.071800467511565\n ],\n [\n -77.069091796875,\n 43.96514454266273\n ],\n [\n -77.080078125,\n 43.88997537383687\n ],\n [\n -77.3162841796875,\n 43.96119063892024\n ],\n [\n -77.4151611328125,\n 43.96909818325171\n ],\n [\n -77.574462890625,\n 44.06390660801779\n ],\n [\n -77.7337646484375,\n 44.040218713142146\n ],\n [\n -78.01391601562499,\n 44.004669106432225\n ],\n [\n -78.33251953125,\n 43.95328204198018\n ],\n [\n -78.5137939453125,\n 43.90185050527358\n ],\n [\n -78.7664794921875,\n 43.88997537383687\n ],\n [\n -78.9862060546875,\n 43.862257524417934\n ],\n [\n -79.1015625,\n 43.81471121600004\n ],\n [\n -79.2279052734375,\n 43.723474896114794\n ],\n [\n -79.3377685546875,\n 43.65197548731187\n ],\n [\n -79.4805908203125,\n 43.644025847699496\n ],\n [\n -79.5684814453125,\n 43.56845179881218\n ],\n [\n -79.617919921875,\n 43.52465500687185\n ],\n [\n -79.6343994140625,\n 43.464880828929545\n ],\n [\n -79.7113037109375,\n 43.37710501700073\n ],\n [\n -79.82666015625,\n 43.329173667843904\n ],\n [\n -79.925537109375,\n 43.265206318396025\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor A. Brown","contributorId":348419,"corporation":false,"usgs":false,"family":"Taylor A. Brown","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lars G. Rudstam","contributorId":348420,"corporation":false,"usgs":false,"family":"Lars G. Rudstam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeremy P. Holden","contributorId":348421,"corporation":false,"usgs":false,"family":"Jeremy P. Holden","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":923444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michael J. Connerton","contributorId":348422,"corporation":false,"usgs":false,"family":"Michael J. Connerton","affiliations":[{"id":56930,"text":"New York DEC","active":true,"usgs":false}],"preferred":false,"id":923445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dimitry Gorsky","contributorId":348423,"corporation":false,"usgs":false,"family":"Dimitry Gorsky","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":923446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Curtis T. Karboski","contributorId":348424,"corporation":false,"usgs":false,"family":"Curtis T. Karboski","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":923447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":923448,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nicholas M. Sard","contributorId":348426,"corporation":false,"usgs":false,"family":"Nicholas M. Sard","affiliations":[{"id":48660,"text":"SUNY Oswego","active":true,"usgs":false}],"preferred":false,"id":923449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":923450,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scott E. Prindle","contributorId":348429,"corporation":false,"usgs":false,"family":"Scott E. Prindle","affiliations":[{"id":56930,"text":"New York DEC","active":true,"usgs":false}],"preferred":false,"id":923451,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Matthew J. Sanderson","contributorId":348431,"corporation":false,"usgs":false,"family":"Matthew J. Sanderson","affiliations":[{"id":56930,"text":"New York DEC","active":true,"usgs":false}],"preferred":false,"id":923452,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thomas M. Evans","contributorId":348434,"corporation":false,"usgs":false,"family":"Thomas M. Evans","affiliations":[{"id":83364,"text":"St. Mary's College","active":true,"usgs":false}],"preferred":false,"id":923453,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cooper, Amanda","contributorId":348575,"corporation":false,"usgs":false,"family":"Cooper","given":"Amanda","affiliations":[],"preferred":false,"id":923606,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Reinhart, Daren J.","contributorId":348576,"corporation":false,"usgs":false,"family":"Reinhart","given":"Daren J.","affiliations":[],"preferred":false,"id":923607,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cameron David","contributorId":348436,"corporation":false,"usgs":false,"family":"Cameron David","affiliations":[{"id":62863,"text":"Great Lakes Science Center","active":true,"usgs":false}],"preferred":false,"id":923455,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":923454,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70240411,"text":"70240411 - 2022 - Evaluation of post-stocking dispersal and mortality of juvenile lake trout Salvelinus namaycush in Lake Ontario using acoustic telemetry","interactions":[],"lastModifiedDate":"2023-02-07T13:01:59.14599","indexId":"70240411","displayToPublicDate":"2022-03-20T06:58:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of post-stocking dispersal and mortality of juvenile lake trout Salvelinus namaycush in Lake Ontario using acoustic telemetry","docAbstract":"Wild reproduction by stocked lake trout Salvelinus namaycush in Lake Ontario has yet to produce a self-sustaining population, requiring a reliance on stocking. Once released, age-1 juvenile lake trout are not typically surveyed until age-2, creating a gap in knowledge of fine-scale post-release behaviors. A method to track fine-scale movements and estimate mortality of juvenile lake trout could complement standard survey methods and benefit management decisions regarding stocking locations. We used acoustic telemetry to estimate post-stocking mortality and observe fine-scale spatial and temporal movements of 38 hatchery-reared, age-1 lake trout from an offshore stocking site in the eastern basin of Lake Ontario from 2017 to 2018. Cumulative post-stocking mortality was estimated at 5.3%, 10.5%, and 26.3% after one week, one month and one year, respectively. The majority of lake trout (68.4%) emigrated from the stocking location within two months and entered deep water (∼50 m) once warm-water incursions at the stocking site exceeded lake trout thermal preferences (15 °C). Lake trout made large movements (i.e., median 1.9 km, maximum 12.4 km straight-line distance) within the first hour post-release and had an average swimming speed of 1.64 km‧hr−1over the first day. There was no statistically significant relationship between total distance traveled and time of day, although distance traveled tended to be greater during crepuscular and dark periods compared to daylight. Our results provide a conservative estimate of post-release mortality and reveal behaviors of hatchery-reared juvenile lake trout that may be helpful when selecting stocking locations beneficial to restoration program goals.
Accurate estimates of animal abundance are essential for guiding effective management, and poor survey data can produce misleading inferences. Aerial surveys are an efficient survey platform, capable of collecting wildlife data across large spatial extents in short timeframes. However, these surveys can yield unreliable data if not carefully executed. Despite a long history of aerial survey use in ecological research, problems common to aerial surveys have not yet been adequately resolved. Through an extensive review of the aerial survey literature over the last 50 years, we evaluated how common problems encountered in the data (including nondetection, counting error, and species misidentification) can manifest, the potential difficulties conferred, and the history of how these challenges have been addressed. Additionally, we used a double-observer case study focused on waterbird data collected via aerial surveys and an online group (flock) counting quiz to explore the potential extent of each challenge and possible resolutions. We found that nearly three quarters of the aerial survey methodology literature focused on accounting for nondetection errors, while issues of counting error and misidentification were less commonly addressed. Through our case study, we demonstrated how these challenges can prove problematic by detailing the extent and magnitude of potential errors. Using our online quiz, we showed that aerial observers typically undercount group size and that the magnitude of counting errors increases with group size. Our results illustrate how each issue can act to bias inferences, highlighting the importance of considering individual methods for mitigating potential problems separately during survey design and analysis. We synthesized the information gained from our analyses to evaluate strategies for overcoming the challenges of using aerial survey data to estimate wildlife abundance, such as digital data collection methods, pooling species records by family, and ordinal modeling using binned data. Recognizing conditions that can lead to data collection errors and having reasonable solutions for addressing errors can allow researchers to allocate resources effectively to mitigate the most significant challenges for obtaining reliable aerial survey data.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8733","usgsCitation":"Davis, K.L., Silverman, E., Sussman, A., Wilson, R., and Zipkin, E.F., 2022, Errors in aerial survey count data: Identifying pitfalls and solutions: Ecology and Evolution, v. 12, no. 3, e8733, 14 p., https://doi.org/10.1002/ece3.8733.","productDescription":"e8733, 14 p.","ipdsId":"IP-128816","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":448446,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8733","text":"External Repository"},{"id":397342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.0791015625,\n 25.025884063244828\n ],\n [\n -80.85937499999999,\n 25.304303764403617\n ],\n [\n -81.82617187499999,\n 26.78484736105119\n ],\n [\n -82.72705078125,\n 27.819644755099446\n ],\n [\n -82.50732421875,\n 29.017748018496047\n ],\n [\n -84.0673828125,\n 30.240086360983426\n ],\n [\n -85.14404296875,\n 29.783449456820605\n ],\n [\n -85.62744140625,\n 30.315987718557867\n ],\n [\n -86.572265625,\n 30.543338954230222\n ],\n [\n -87.8466796875,\n 30.65681556429287\n ],\n [\n -89.736328125,\n 30.391830328088137\n ],\n [\n -90.7470703125,\n 30.4297295750316\n ],\n [\n -90.54931640625,\n 29.783449456820605\n ],\n [\n -90.85693359375,\n 29.49698759653577\n ],\n [\n -91.95556640625,\n 30.088107753367257\n ],\n [\n -92.4169921875,\n 29.783449456820605\n ],\n [\n -93.7353515625,\n 29.897805610155874\n ],\n [\n -94.52636718749999,\n 29.80251790576445\n ],\n [\n -94.7900390625,\n 29.954934549656144\n ],\n [\n -95.0537109375,\n 29.783449456820605\n ],\n [\n -95.0537109375,\n 29.34387539941801\n ],\n [\n -96.13037109375,\n 28.86391842622456\n ],\n [\n -96.6796875,\n 28.748396571187406\n ],\n [\n -96.92138671875,\n 28.497660832963472\n ],\n [\n -96.9873046875,\n 28.304380682962783\n ],\n [\n -97.42675781249999,\n 28.110748760633534\n ],\n [\n -97.646484375,\n 27.547241546253268\n ],\n [\n -97.6904296875,\n 27.15692045688088\n ],\n [\n -97.3828125,\n 26.05678288577881\n ],\n [\n -95.888671875,\n 25.97779895546436\n ],\n [\n -94.46044921875,\n 27.293689224852407\n ],\n [\n -91.58203125,\n 27.780771643348196\n ],\n [\n -88.11035156249999,\n 27.46928747369202\n ],\n [\n -86.28662109375,\n 27.839076094777816\n ],\n [\n -83.64990234375,\n 26.05678288577881\n ],\n [\n -82.8369140625,\n 24.926294766395593\n ],\n [\n -82.46337890625,\n 24.56710835257599\n ],\n [\n -81.0791015625,\n 25.025884063244828\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kayla L.","contributorId":177595,"corporation":false,"usgs":false,"family":"Davis","given":"Kayla","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":838512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silverman, Emily D","contributorId":288964,"corporation":false,"usgs":false,"family":"Silverman","given":"Emily D","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sussman, Allison 0000-0002-6996-9982","orcid":"https://orcid.org/0000-0002-6996-9982","contributorId":211294,"corporation":false,"usgs":true,"family":"Sussman","given":"Allison","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":838511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, R. Randy","contributorId":288965,"corporation":false,"usgs":false,"family":"Wilson","given":"R. Randy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":838515,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228752,"text":"sim3483 - 2022 - Geologic map of the South Boston 30' × 60' quadrangle, Virginia and North Carolina","interactions":[{"subject":{"id":17533,"text":"ofr93244 - 1993 - Preliminary geologic map of the South Boston 30 x 60 minute quadrangle, Virginia and North Carolina","indexId":"ofr93244","publicationYear":"1993","noYear":false,"title":"Preliminary geologic map of the South Boston 30 x 60 minute quadrangle, Virginia and North Carolina"},"predicate":"SUPERSEDED_BY","object":{"id":70228752,"text":"sim3483 - 2022 - Geologic map of the South Boston 30' × 60' quadrangle, Virginia and North Carolina","indexId":"sim3483","publicationYear":"2022","noYear":false,"title":"Geologic map of the South Boston 30' × 60' quadrangle, Virginia and North Carolina"},"id":1}],"lastModifiedDate":"2026-03-31T21:19:34.48763","indexId":"sim3483","displayToPublicDate":"2022-03-18T07:15:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3483","displayTitle":"Geologic Map of the South Boston 30' × 60' Quadrangle, Virginia and North Carolina","title":"Geologic map of the South Boston 30' × 60' quadrangle, Virginia and North Carolina","docAbstract":"This 1:100,000-scale geologic map of the South Boston 30’ × 60’ quadrangle, Virginia and North Carolina, provides geologic information for the Piedmont along the I–85 and U.S. Route 58 corridors and in the Roanoke River watershed, which includes the John H. Kerr Reservoir and Lake Gaston. The Raleigh terrane (located on the eastern side of the map) contains Neoproterozoic to early Paleozoic(?) polydeformed, amphibolite-facies gneisses and schists. The Carolina slate belt of the Carolina terrane (located in the central part of the map) contains Neoproterozoic metavolcanic and metasedimentary rocks at greenschist facies. Although locally complicated, the slate-belt structure mapped across the South Boston map area is generally a broad, complex anticlinorium of the Hyco Formation (here called the Chase City anticlinorium) and is flanked to the west and east by synclinoria, which are cored by the overlying Aaron and Virgilina Formations. The western flank of the Carolina terrane (located in the western-central part of the map) contains similar rocks at higher metamorphic grade. This terrane includes epidote-amphibolite-facies to amphibolite-facies gneisses of the Neoproterozoic Country Line complex, which extends north-northeastward across the map. The Milton terrane (located on the western side of the map) contains Ordovician amphibolite-facies metavolcanic and metasedimentary gneisses of the Cunningham complex.
Crosscutting relations and fabrics in mafic to felsic plutonic rocks constrain the timing of Neoproterozoic to late Paleozoic deformations across the Piedmont. In the eastern part of the map, a 5- to 9-kilometer-wide band of tectonic elements that contains two late Paleozoic mylonite zones (Nutbush Creek and Lake Gordon) and syntectonic granite (Buggs Island pluton) separates the Raleigh and Carolina terranes. Amphibolite-facies, infrastructural metaigneous and metasedimentary rocks east of the Lake Gordon mylonite zone are generally assigned to the Raleigh terrane. In the western part of the map area, a 5- to 8-kilometer-wide band of late Paleozoic tectonic elements includes the Hyco and Clover shear zones, syntectonic granitic sheets, and amphibolite-facies gneisses along the western margin of the Carolina terrane at its boundary with the Milton terrane. This band of tectonic elements is also the locus for early Mesozoic extensional faults associated with the early Mesozoic Scottsburg, Randolph, and Roanoke Creek rift basins.
The map shows fluvial terrace deposits of sand and gravel on hills and slopes near the Roanoke and Dan Rivers. The terrace deposits that are highest in altitude are the oldest. Saprolite regolith is spatially associated with geologic source units and is not shown separately on the map.
Mineral resources in the area include gneiss and granite quarried for crushed stone, tungsten-bearing vein deposits of the Hamme district, and copper and gold deposits of the Virgilina district. Surface-water resources are abundant and include rivers, tributaries, the John H. Kerr Reservoir, and Lake Gaston. Groundwater flow is concentrated in saprolite regolith, along fractures in the crystalline bedrock, and along fractures and bedding-plane partings in the Mesozoic rift basins.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3483","usgsCitation":"Horton, J.W., Jr., Peper, J.D., Burton, W.C., Weems, R.E., and Sacks, P.E., 2022, Geologic map of the South Boston 30' × 60' quadrangle, Virginia and North Carolina: U.S. Geological Survey Scientific Investigations Map 3483, 1 sheet, scale 1:100,000, 46-p. pamphlet, https://doi.org/10.3133/sim3483. [Supersedes USGS Open-File Report 93–244.]","productDescription":"Pamphlet: vi, 46 p.; 1 Sheet: 62.00 x 35.00 inches; Data Release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112223","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":501889,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112691.htm","linkFileType":{"id":5,"text":"html"}},{"id":396136,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3483/sim3483_map.pdf","text":"Map","size":"38.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3483 map"},{"id":396134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3483/coverthb2.jpg"},{"id":396135,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3483/sim3483_pamphlet.pdf","text":"Pamphlet","size":"871 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3483 pamphlet"},{"id":396935,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98AQDR7","text":"USGS data release","linkHelpText":"Database for the Geologic Map of the South Boston 30' × 60' Quadrangle, Virginia and North Carolina"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"South Boston 30 x 60 minute quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79,\n 36.5\n ],\n [\n -78,\n 36.5\n ],\n [\n -78,\n 37\n ],\n [\n -79,\n 37\n ],\n [\n -79,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Florence Bascom Geoscience Center
U.S. Geological Survey
Mail Stop 926A
12201 Sunrise Valley Drive
Reston, VA 20192
Missouri, one of only two States that borders eight different States, lies in the heart of the United States. Distinguished by its farm fields and forests, substantial rivers and lakes, and cities filled with culture and industry, the “Show Me State” has abundant beauty and a long history of connecting the East and the West. The Pony Express, Oregon Trail, Santa Fe Trail, and California Trail all began in Missouri.
The land and the people of Missouri contribute to its resiliency. Landsat data provide important tools for Missourians to protect their landscapes and waterways and enhance their economy under a variety of circumstances, from fast-arising natural disasters to longer-term environmental phenomena.
Here are several ways that Landsat data benefit Missouri.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223015","usgsCitation":"U.S. Geological Survey, 2022, Missouri and Landsat (ver. 1.1, January 2023): U.S. Geological Survey Fact Sheet 2022–3015, 2 p., https://doi.org/10.3133/fs20223015.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-126132","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":412077,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3015/fs20223015.XML"},{"id":412078,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3015/images"},{"id":412076,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2022/3015/versionHist.txt","size":"1.92 kB","linkFileType":{"id":2,"text":"txt"}},{"id":412075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3015/fs20223015.pdf","text":"Report","size":"5.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3015"},{"id":397074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3015/coverthb2.jpg"},{"id":412084,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223015/full","text":"Report","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-91.729115,40.61364],[-91.716769,40.59853],[-91.686357,40.580875],[-91.690804,40.559893],[-91.681714,40.553035],[-91.6219,40.542292],[-91.618028,40.53403],[-91.621353,40.510072],[-91.590817,40.492292],[-91.574746,40.465664],[-91.52509,40.457845],[-91.524053,40.448437],[-91.533623,40.43832],[-91.519935,40.433673],[-91.526555,40.419872],[-91.522333,40.409648],[-91.498093,40.401926],[-91.489816,40.404317],[-91.484507,40.3839],[-91.465116,40.385257],[-91.465009,40.376223],[-91.452458,40.375501],[-91.441243,40.386255],[-91.419422,40.378264],[-91.444833,40.36317],[-91.46214,40.342414],[-91.492727,40.278217],[-91.490524,40.259498],[-91.505828,40.238839],[-91.505495,40.195606],[-91.512974,40.181062],[-91.508224,40.157665],[-91.510322,40.127994],[-91.489606,40.057435],[-91.494878,40.036453],[-91.465315,39.983995],[-91.41936,39.927717],[-91.41988,39.916533],[-91.443513,39.893583],[-91.446922,39.883034],[-91.436051,39.84551],[-91.377971,39.811273],[-91.361571,39.787548],[-91.370009,39.732524],[-91.3453,39.709402],[-91.27614,39.665759],[-91.229317,39.620853],[-91.181936,39.602677],[-91.174651,39.593313],[-91.168419,39.564928],[-91.153628,39.548248],[-91.100307,39.538695],[-91.079769,39.507728],[-91.064305,39.494643],[-91.059439,39.46886],[-91.03827,39.448436],[-90.993789,39.422959],[-90.940766,39.403984],[-90.928745,39.387544],[-90.904862,39.379403],[-90.893777,39.367343],[-90.8475,39.345272],[-90.816851,39.320496],[-90.793461,39.309498],[-90.751599,39.265432],[-90.72996,39.255894],[-90.717113,39.213912],[-90.707902,39.15086],[-90.686051,39.117785],[-90.681086,39.10059],[-90.681994,39.090066],[-90.712541,39.057064],[-90.71158,39.046798],[-90.678193,38.991851],[-90.675949,38.96214],[-90.657254,38.92027],[-90.639917,38.908272],[-90.625122,38.888654],[-90.583388,38.86903],[-90.555693,38.870785],[-90.500117,38.910408],[-90.486974,38.925982],[-90.482419,38.94446],[-90.472122,38.958838],[-90.440078,38.967364],[-90.395816,38.960037],[-90.309454,38.92412],[-90.250248,38.919344],[-90.109407,38.843548],[-90.123107,38.798048],[-90.166409,38.772649],[-90.176309,38.754449],[-90.20991,38.72605],[-90.20921,38.70275],[-90.18641,38.67475],[-90.181325,38.660381],[-90.17801,38.63375],[-90.18451,38.611551],[-90.196011,38.594451],[-90.222112,38.576451],[-90.260314,38.528352],[-90.285215,38.443453],[-90.295316,38.426753],[-90.349743,38.377609],[-90.368219,38.340254],[-90.373929,38.281853],[-90.353902,38.213855],[-90.331554,38.18758],[-90.290765,38.170453],[-90.274928,38.157615],[-90.243116,38.112669],[-90.218708,38.094365],[-90.17222,38.069636],[-90.158533,38.074735],[-90.130788,38.062341],[-90.126612,38.043981],[-90.11052,38.026547],[-90.08826,38.015772],[-90.059367,38.015543],[-90.051357,38.003584],[-90.03241,37.995258],[-90.00011,37.964563],[-89.978919,37.962791],[-89.942099,37.970121],[-89.933797,37.959143],[-89.925085,37.960021],[-89.932467,37.947497],[-89.959646,37.940196],[-89.974918,37.926719],[-89.952499,37.883218],[-89.923185,37.870672],[-89.901832,37.869822],[-89.844786,37.905572],[-89.799333,37.881517],[-89.796087,37.859505],[-89.786369,37.851734],[-89.782035,37.855092],[-89.739873,37.84693],[-89.71748,37.825724],[-89.669644,37.799922],[-89.660227,37.781032],[-89.667993,37.759484],[-89.665546,37.752095],[-89.64953,37.745498],[-89.617278,37.74972],[-89.612478,37.740036],[-89.596566,37.732886],[-89.583316,37.713261],[-89.516685,37.692762],[-89.51204,37.680985],[-89.517718,37.641217],[-89.478399,37.598869],[-89.47603,37.590226],[-89.486062,37.580853],[-89.519808,37.582748],[-89.521925,37.560735],[-89.517051,37.537278],[-89.475525,37.471388],[-89.439769,37.4372],[-89.421054,37.387668],[-89.432836,37.347056],[-89.489005,37.333368],[-89.511842,37.310825],[-89.51834,37.285497],[-89.489915,37.251315],[-89.470525,37.253357],[-89.458827,37.248661],[-89.467631,37.2182],[-89.456105,37.18812],[-89.42558,37.138235],[-89.37871,37.094586],[-89.375712,37.080505],[-89.384681,37.048251],[-89.362397,37.030156],[-89.322982,37.01609],[-89.29213,36.992189],[-89.278628,36.98867],[-89.263527,37.00005],[-89.257608,37.015496],[-89.260003,37.023288],[-89.304752,37.047565],[-89.310819,37.057897],[-89.30829,37.068371],[-89.259936,37.064071],[-89.25493,37.072014],[-89.234053,37.037277],[-89.200793,37.016164],[-89.192097,36.979995],[-89.185491,36.973518],[-89.170008,36.970298],[-89.125069,36.983499],[-89.109498,36.976563],[-89.099594,36.964543],[-89.100762,36.944002],[-89.117567,36.887356],[-89.131944,36.857437],[-89.137969,36.847349],[-89.1704,36.841522],[-89.178888,36.831368],[-89.179229,36.812915],[-89.171069,36.798119],[-89.155891,36.789126],[-89.12353,36.785309],[-89.116563,36.767557],[-89.126134,36.751735],[-89.166888,36.759633],[-89.184523,36.753638],[-89.197808,36.739412],[-89.19948,36.716045],[-89.169522,36.688878],[-89.169467,36.674596],[-89.15908,36.666352],[-89.197654,36.628936],[-89.202607,36.601576],[-89.217447,36.576159],[-89.236542,36.566824],[-89.258318,36.564948],[-89.278935,36.577699],[-89.326731,36.632186],[-89.365548,36.625059],[-89.375453,36.615719],[-89.382762,36.583603],[-89.41977,36.493896],[-89.448468,36.46442],[-89.464153,36.457189],[-89.486215,36.46162],[-89.494248,36.475972],[-89.465888,36.529946],[-89.467761,36.546847],[-89.479093,36.568206],[-89.500076,36.576305],[-89.542459,36.580566],[-89.566817,36.564216],[-89.571241,36.547343],[-89.560344,36.525436],[-89.519501,36.475419],[-89.523427,36.456572],[-89.543406,36.43877],[-89.545255,36.427079],[-89.509722,36.373626],[-89.519,36.3486],[-89.545006,36.336809]]]},\"properties\":{\"name\":\"Missouri\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: March 16, 2022; Version 1.1: January 19, 2023","contact":"Program Coordinator, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Sequence stratigraphy provides a unifying framework for integrating diverse observations to interpret sedimentary basin evolution; however, key time assumptions about stratigraphic elements spanning hundreds of kilometers are rarely quantified. We integrate new detrital zircon U-Pb (DZ) dates from 28 samples with seismic mapping to establish a chronostratigraphic framework across 800 km and ~20 m.y. for the middle-Cretaceous Torok-Nanushuk clinothem of Arctic Alaska (USA). Shelf-margin DZ dates indicate continent-scale sediment routing with Russian Chukotka provenance and provide reliable maximum depositional ages derived from arc volcanism. Shelf-margin advance rates display a clear relationship to toplap trajectories and provide empirical support for long-held inferences linking sediment supply to margin architecture. Two distinct shelf-margin growth regimes are evident: (1) a ca. 115–107 Ma phase of rapid ~50 km/m.y. shelf advance rates with mainly progradational trajectories; and (2) a ca. 107–98 Ma phase of moderate ~13 km/m.y. shelf advance rates with progradational-retrogradational-aggradational trajectories. We established a subsequent shelf–to–deep water correlation by independently dating ca. 98–95 Ma low shelf accommodation and basin-floor deposition as far as 240 km east that indicate lowstand shedding and a change to localized routing with Brooks Range provenance. Finally, we dated a ca. 95 Ma basin-wide transgression at deep-water to shelfal settings across 350 km that exhibits apparent synchroneity consistent with an event-significant surface. In one of the world’s largest foreland-basin clinothems, our work constrains the timing and duration of key depositional elements to test large-scale sequence stratigraphic assumptions, enables reliable correlation and quantification of sediment dynamics across 800 km, and captures the chronology of a giant regressive-transgressive cycle.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49118.1","usgsCitation":"Lease, R.O., Houseknecht, D.W., and Kylander-Clark, A.R., 2022, Quantifying large-scale continental shelf margin growth and dynamics across mid-Cretaceous Arctic Alaska with detrital zircon U-Pb dating: Geology, v. 50, no. 5, p. 620-625, https://doi.org/10.1130/G49118.1.","productDescription":"6 p.","startPage":"620","endPage":"625","ipdsId":"IP-135413","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":448513,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49118.1","text":"Publisher Index Page"},{"id":435927,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F8BHTN","text":"USGS data release","linkHelpText":"U-Pb Isotopic Data and Ages of Detrital Zircon and Volcanic Zircon Grains from the Torok and Nanushuk Formations, Arctic Alaska, 2021"},{"id":397055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140.99853515625,\n 69.65708627301174\n ],\n [\n -139.81201171874997,\n 73.23937702441908\n ],\n [\n -162.59765625,\n 73.02900629225599\n ],\n [\n -169.8046875,\n 69.17037257214531\n ],\n [\n -163.828125,\n 67.05887024878373\n ],\n [\n -160.6640625,\n 67.30597574414466\n ],\n [\n -157.58789062499997,\n 67.04173496919447\n ],\n [\n -154.95117187499997,\n 66.93866882358137\n ],\n [\n -151.7431640625,\n 67.12729044909526\n ],\n [\n -147.3046875,\n 67.53377157140451\n ],\n [\n -145.1513671875,\n 68.46379955520322\n ],\n [\n -141.0205078125,\n 68.86351700272681\n ],\n [\n -140.99853515625,\n 69.65708627301174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":837863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":837864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kylander-Clark, Andrew R. C.","contributorId":212897,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R. C.","affiliations":[],"preferred":false,"id":837865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226205,"text":"ofr20211106 - 2022 - Preliminary geologic map of the Cherry Hill quadrangle, Dinwiddie, Sussex, and Greensville Counties, Virginia","interactions":[],"lastModifiedDate":"2026-03-25T17:45:56.254572","indexId":"ofr20211106","displayToPublicDate":"2022-03-10T15:15:00","publicationYear":"2022","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":"2021-1106","displayTitle":"Preliminary Geologic Map of the Cherry Hill Quadrangle, Dinwiddie, Sussex, and Greensville Counties, Virginia","title":"Preliminary geologic map of the Cherry Hill quadrangle, Dinwiddie, Sussex, and Greensville Counties, Virginia","docAbstract":"The Cherry Hill 7.5-minute quadrangle straddles the Coastal Plain and Piedmont Provinces along the Tidewater Fall Line. Rocks of the eastern Piedmont Roanoke Rapids terrane crop out in the western part of the quadrangle and consist of greenschist- to amphibolite-facies Neoproterozoic felsic to intermediate metavolcanic rocks, some of which contain flattened quartz phenocrysts and are locally isoclinally folded; greenstone that locally preserves primary layering; and intrusive metadiorite and metagabbro, much of which has been altered to amphibolite. Most of these rocks are strongly foliated and jointed. Greenschist-facies metasiltstone that preserves primary bedding also occurs locally in the Roanoke Rapids terrane. Neoproterozoic mica schist, middle Paleozoic foliated metagranite, and late Paleozoic massive and porphyritic granite crop out in the eastern part of the quadrangle and are part of the Dinwiddie terrane and the late Paleozoic De Witt pluton. Upper greenschist- to lower amphibolite-facies mica schist consists of stringers and boudins of vein quartz and contains porphyroclasts of staurolite that preserve an earlier foliation as inclusion trails. Porphyroblasts of garnet, staurolite, and kyanite also occur locally. Foliation in granites of the De Witt pluton may be magmatic. Separating the Dinwiddie terrane from the Roanoke Rapids terrane are greenschist-facies, highly strained granitic mylonite and bodies of less deformed granite within the Nottoway River fault zone, which is a strand of the eastern Piedmont fault system. Paleozoic pegmatite dikes and quartz veins cross-cut rocks of the Dinwiddie terrane, and quartz veins and Jurassic diabase dikes cross-cut rocks of the Roanoke Rapids terrane.
Sand and gravel deposits of the Atlantic Coastal Plain overlie Piedmont rocks. Two units assigned to the upper part of the Neogene Chesapeake Group occur at elevations up to 295 feet (90 meters) above sea level atop the Richmond plain in the central part of the quadrangle. Two units of the Quaternary Bacons Castle Formation occupy the Essex plain and Norge uplands at elevations up to 180 feet (55 meters) above sea level in the eastern part of the quadrangle. In the western part of the quadrangle, multiple levels of terrace deposits are the fluvial equivalent of estuarine to marine units of the Atlantic Coastal Plain to the east. Holocene alluvium occurs along creeks and the Nottoway River. Quaternary colluvial deposits occur locally. Numerous Carolina bays pock the landscape of the Richmond and Essex plains, and three abandoned channelways represent former locations of Sappony Creek, one of the major drainages of the quadrangle.
Brittle faults juxtapose Piedmont basement rocks against Neogene sediments of the upper part of the Chesapeake Group. These Cenozoic faults were first uncovered in mine excavations in the late 1990s; new mapping indicates that many of these faults are reactivated silicified cataclasite zones that occur throughout the Piedmont basement rocks. Silicified cataclasites and associated quartz veins are typically mineralized with iron and iron sulfide minerals. The quadrangle was the focus of extensive mining for heavy minerals, including ilmenite and zircon, in upland Atlantic Coastal Plain deposits beginning in the mid-1990s. Other mineral resources, including precious metals, clay for structural brick, crushed stone, and building stone for millstones, have also been prospected or quarried in the quadrangle.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211106","usgsCitation":"Carter, M.W., Karst, A.T., Berquist, C.R., Jr., Schindler, J.S., Weems, R.E., Weinmann, B.R., and Crider, E.A., Jr., 2022, Preliminary geologic map of the Cherry Hill quadrangle, Dinwiddie, Sussex, and Greensville Counties, Virginia: U.S. Geological Survey Open-File Report 2021–1106, 1 sheet, scale 1:24,000, https://doi.org/10.3133/ofr20211106.","productDescription":"1 Sheet: 40.00 x 54.01 inches; Data Release","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118811","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":391751,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1106/coverthb.jpg"},{"id":394115,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P910X7BJ","text":"USGS data release","linkHelpText":"Database for the Preliminary Geologic Map of the Cherry Hill Quadrangle, Dinwiddie, Sussex, and Greensville Counties, Virginia"},{"id":391752,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1106/ofr20211106.pdf","text":"Report","size":"10.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1106"},{"id":501531,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112547.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Virginia","county":"Dinwiddie County, Sussex County, Greensville County","otherGeospatial":"Cherry Hill quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.625,\n 36.875\n ],\n [\n -77.50,\n 36.875\n ],\n [\n -77.50,\n 37.00\n ],\n [\n -77.625,\n 37.00\n ],\n [\n -77.625,\n 36.875\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Wildfire and post-fire rainfall have resounding effects on hillslope processes and sediment yields of mountainous landscapes. Yet, it remains unclear how fire–flood sequences influence downstream coastal littoral systems. It is timely to examine terrestrial–coastal connections because climate change is increasing the frequency, size, and intensity of wildfires, altering precipitation rates, and accelerating sea-level rise; and these factors can be understood as contrasting accretionary and erosive agents for coastal systems. Here we provide new satellite-derived shoreline measurements of Big Sur, California and show how river sediment discharge significantly influenced shoreline positions during the past several decades. A 2016 wildfire followed by record precipitation increased sediment discharge in the Big Sur River and resulted in almost half of the total river sediment load of the past 50 years (~ 2.2 of ~ 4.8 Mt). Roughly 30% of this river sediment was inferred to be littoral-grade sand and was incorporated into the littoral cell, causing the widest beaches in the 37-year satellite record and spreading downcoast over timescales of years. Hence, the impact of fire–flood events on coastal sediment budgets may be substantial, and these impacts may increase with time considering projected intensification of wildfires and extreme rain events under global warming.
","language":"English","publisher":"Nature Pulications","doi":"10.1038/s41598-022-07209-0","usgsCitation":"Warrick, J.A., Vos, K., East, A.E., and Vitousek, S., 2022, Fire (plus) flood (equals) beach: Coastal response to an exceptional river sediment discharge event: Scientific Reports, v. 12, https://doi.org/10.1038/s41598-022-07209-0.","productDescription":"3848, 15 p.","startPage":"3848","ipdsId":"IP-133190","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":448535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-07209-0","text":"Publisher Index Page"},{"id":397006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Big Sur watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.87099456787108,\n 36.24898019141822\n ],\n [\n -121.77984237670898,\n 36.24898019141822\n ],\n [\n -121.77984237670898,\n 36.29257573938972\n ],\n [\n -121.87099456787108,\n 36.29257573938972\n ],\n [\n -121.87099456787108,\n 36.24898019141822\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2022-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vos, Kilian 0000-0002-9518-1582","orcid":"https://orcid.org/0000-0002-9518-1582","contributorId":229435,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","email":"","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":837746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837748,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229510,"text":"sir20225003 - 2022 - Response of Green Lake, Wisconsin, to changes in phosphorus loading, with special emphasis on near-surface total phosphorus concentrations and metalimnetic dissolved oxygen minima","interactions":[],"lastModifiedDate":"2026-04-08T17:07:36.608501","indexId":"sir20225003","displayToPublicDate":"2022-03-09T13:55:00","publicationYear":"2022","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":"2022-5003","displayTitle":"Response of Green Lake, Wisconsin, to Changes in Phosphorus Loading, With Special Emphasis on Near-Surface Total Phosphorus Concentrations and Metalimnetic Dissolved Oxygen Minima","title":"Response of Green Lake, Wisconsin, to changes in phosphorus loading, with special emphasis on near-surface total phosphorus concentrations and metalimnetic dissolved oxygen minima","docAbstract":"Green Lake is the deepest natural inland lake in Wisconsin, with a maximum depth of about 72 meters. In the early 1900s, the lake was believed to have very good water quality (low nutrient concentrations and good water clarity) with low dissolved oxygen (DO) concentrations occurring in only the deepest part of the lake. Because of increased phosphorus (P) inputs from anthropogenic activities in its watershed, total phosphorus (TP) concentrations in the lake have increased; these changes have led to increased algal production and low DO concentrations not only in the deepest areas but also in the middle of the water column (metalimnion). The U.S. Geological Survey has routinely monitored the lake since 2004 and its tributaries since 1988. Results from this monitoring led the Wisconsin Department of Natural Resources (WDNR) to list the lake as impaired because of low DO concentrations in the metalimnion, and they identified elevated TP concentrations as the cause of impairment.
As part of this study by the U.S. Geological Survey, in cooperation with the Green Lake Sanitary District, the lake and its tributaries were comprehensively sampled in 2017–18 to augment ongoing monitoring that would further describe the low DO concentrations in the lake (especially in the metalimnion). Empirical and process-driven water-quality models were then used to determine the causes of the low DO concentrations and the magnitudes of P-load reductions needed to improve the water quality of the lake enough to meet multiple water-quality goals, including the WDNR’s criteria for TP and DO.
Data from previous studies showed that DO concentrations in the metalimnion decreased slightly as summer progressed in the early 1900s but, since the late 1970s, have typically dropped below 5 milligrams per liter (mg/L), which is the WDNR criterion for impairment. During 2014–18 (the baseline period for this study), the near-surface geometric mean TP concentration during June–September in the east side of the lake was 0.020 mg/L and in the west side was 0.016 mg/L (both were above the 0.015-mg/L WDNR criterion for the lake), and the metalimnetic DO minimum concentrations (MOMs) measured in August ranged from 1.0 to 4.7 mg/L. The degradation in water quality was assumed to have been caused by excessive P inputs to the lake; therefore, the TP inputs to the lake were estimated. The mean annual external P load during 2014–18 was estimated to be 8,980 kilograms per year (kg/yr), of which monitored and unmonitored tributary inputs contributed 84 percent, atmospheric inputs contributed 8 percent, waterfowl contributed 7 percent, and septic systems contributed 1 percent. During fall turnover, internal sediment recycling contributed an additional 7,040 kilograms that increased TP concentrations in shallow areas of the lake by about 0.020 mg/L. The elevated TP concentrations then persisted until the following spring. On an annual basis, however, there was a net deposition of P to the bottom sediments.
Empirical models were used to describe how the near-surface water quality of Green Lake would be expected to respond to changes in external P loading. Predictions from the models showed a relatively linear response between P loading and TP and chlorophyll-a (Chl-a) concentrations in the lake, with the changes in TP and Chl-a concentrations being less on a percentage basis (50–60 percent for TP and 30–70 percent for Chl-a) than the changes in P loading. Mean summer water clarity, quantified by Secchi disk depths, had a greater response to decreases in P loading than to increases in P loading. Based on these relations, external P loading to the lake would need to be decreased from 8,980 kg/yr to about 5,460 kg/yr for the geometric mean June–September TP concentration in the east side of the lake, with higher TP concentrations than in the west side, to reach the WDNR criterion of 0.015 mg/L. This reduction of 3,520 kg/yr is equivalent to a 46-percent reduction in the potentially controllable external P sources (all external sources except for precipitation, atmospheric deposition, and waterfowl) from those measured during water years 2014–18. The total external P loading would need to decrease to 7,680 kg/yr (a 17-percent reduction in potentially controllable external P sources) for near-surface June–September TP concentrations in the west side of the lake to reach 0.015 mg/L. Total external P loading would need to decrease to 3,870–5,320 kg/yr for the lake to be classified as oligotrophic, with a near-surface June–September TP concentration of 0.012 mg/L.
Results from the hydrodynamic water-quality model GLM–AED (General Lake Model coupled to the Aquatic Ecodynamics modeling library) indicated that MOMs are driven by external P loading and internal sediment recycling that lead to high TP concentrations during spring and early summer, which in turn lead to high phytoplankton production, high metabolism and respiration, and ultimately DO consumption in the upper, warmer areas of the metalimnion. GLM–AED results indicated that settling of organic material during summer might be slowed by the colder, denser, and more viscous water in the metalimnion and thus increase DO consumption. Based on empirical evidence from a comparison of MOMs with various meteorological, hydrologic, water quality, and in-lake physical factors, MOMs were lower during summers, when metalimnetic water temperatures were warmer, near-surface Chl-a and TP concentrations were higher, and Secchi depths were lower. GLM–AED results indicated that the external P load would need to be reduced to about 4,060 kg/yr, a 57-percent reduction from that measured in 2014–18, to eliminate the occurrence of MOMs less than 5 mg/L during more than 75 percent of the years (the target provided by the WDNR).
Large reductions in external P loading are expected to have an immediate effect on the near-surface TP concentrations and metalimnetic DO concentrations in Green Lake; however, it may take several years for the full effects of the external-load reduction to be observed because internal sediment recycling is an important source of P for the following spring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225003","collaboration":"Prepared in cooperation with the Green Lake Sanitary District","usgsCitation":"Robertson, D.M., Siebers, B.J., Ladwig, R., Hamilton, D.P., Reneau, P.C., McDonald, C.P., Prellwitz, S., and Lathrop, R.C., 2022, Response of Green Lake, Wisconsin, to changes in phosphorus loading, with special emphasis on near-surface total phosphorus concentrations and metalimnetic dissolved oxygen minima: U.S. Geological Survey Scientific Investigations Report 2022–5003, 77 p., https://doi.org/10.3133/sir20225003.","productDescription":"Report: xi, 77 p.; Data Release","numberOfPages":"77","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-123380","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502291,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112545.htm","linkFileType":{"id":5,"text":"html"}},{"id":396912,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5003/images/"},{"id":396910,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H85BK0","text":"USGS data release","linkHelpText":"Eutrophication models to simulate changes in the water quality of Green Lake, Wisconsin in response to changes in phosphorus loading, with supporting water-quality data for the lake, its tributaries, and atmospheric deposition"},{"id":396911,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5003/sir20225003.XML"},{"id":396909,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5003/sir20225003.pdf","text":"Report","size":"8.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5003"},{"id":396908,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5003/coverthb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Green Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.09225463867188,\n 43.756712928570245\n ],\n [\n -88.86428833007814,\n 43.756712928570245\n ],\n [\n -88.86428833007814,\n 43.85384062624276\n ],\n [\n -89.09225463867188,\n 43.85384062624276\n ],\n [\n -89.09225463867188,\n 43.756712928570245\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Drive
Madison, WI 53726
Villa Angela Beach, on the Lake Erie lakeshore near Cleveland, Ohio, is just west of the mouth of Euclid Creek, a small, flashy stream that drains approximately 23 square miles and is susceptible to periodic contamination from combined sewer overflows (CSOs; 190 and 189 events in 2018 and 2019, respectively). Concerns about high concentrations of Escherichia coli (E. coli) in water samples collected along this beach and subsequent frequent beach closures led to the collection of water-quality and water-velocity data in the nearshore area to gain insights into nearshore mixing processes, circulation, and the potential for transport of bacteria and other CSO-related contaminants from nearby sources to the beach. Synoptic surveys were completed by the U.S. Geological Survey on June 10–12, 2019, and August 19–21, 2019, to observe conditions during early and late periods of the summer season. This study follows several studies in this area. Data-collection methods for this study included deployment of an autonomous underwater vehicle and use of a manned boat equipped with an acoustic Doppler current profiler and a multiparameter sonde. Spatial distributions of water-quality constituents and nearshore currents indicated that the mixing zone near the mouth of Euclid Creek and Villa Angela Beach is dynamic and highly variable in spatial extent. Similar observations around the Easterly Wastewater Treatment Plant 1.5 miles to the southwest of Villa Angela Beach indicated a mixing zone that was likewise dynamic and highly variable in spatial extent. Observed circulation patterns during synoptic surveys in summer 2019 indicated that contaminants from CSOs in Euclid Creek and at CSO discharge points along the Lake Erie lakefront (as traced using specific conductance as a surrogate) tended to be transported differently depending on the magnitude and direction of winds and longshore currents. The southwesterly longshore current that was responsible for driving a recirculation pattern along the beach during a previous study in summer 2012 was not observed during the summer 2019 synoptic surveys. That was not surprising because continuous velocity data collected near Villa Angela Beach indicated that longshore currents with a northeasterly component occurred most (65 percent) of the time from June 12 to August 28, 2019.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215122","collaboration":"Prepared in cooperation with the Northeast Ohio Regional Sewer District","usgsCitation":"Boldt, J.A., and Jackson, P.R., 2022, Circulation, mixing, and transport in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019: U.S. Geological Survey Scientific Investigations Report 2021–5122, 78 p., https://doi.org/10.3133/sir20215122.","productDescription":"Report: x, 77 p.; Data Release","numberOfPages":"92","onlineOnly":"Y","ipdsId":"IP-122040","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":502125,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112548.htm","linkFileType":{"id":5,"text":"html"}},{"id":396926,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P963OH6M","text":"USGS data release","linkHelpText":"Velocity surveys and three-dimensional point measurements of basic water-quality constituents in nearshore Lake Erie in the vicinity of Villa Angela Beach and Euclid Creek, Cleveland, Ohio, June 10–12, 2019, and August 19–21, 2019"},{"id":396925,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5122/images"},{"id":396924,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5122/sir20215122.XML"},{"id":396923,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5122/sir20215122.pdf","text":"Report","size":"56.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5122"},{"id":396922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5122/coverthb.jpg"}],"country":"United States","state":"Ohio","city":"Cleveland","otherGeospatial":"Villa Angela Beach, Euclid Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.61949157714844,\n 41.55381099217959\n ],\n [\n -81.59923553466797,\n 41.54327642327762\n ],\n [\n -81.5346908569336,\n 41.58463401188338\n ],\n [\n -81.56044006347656,\n 41.603377487685165\n ],\n [\n -81.61949157714844,\n 41.55381099217959\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
9818 Bluegrass Parkway
Louisville, KY 40299
Some jurisdictions in the eastern United States have reduced harvest of white-tailed deer (Odocoileus virginianus) because of perceived declines in recruitment and population size over the last decade. Although the restoration of American black bears (Ursus americanus) and the colonization of coyotes (Canis latrans) have increased fawn predation in some areas, limited information exists on how temporally dynamic resources and weather influence fawn survival. Therefore, we evaluated fawn survival probability, cause specific mortality, and if factors such as oak (Quercus spp.) mast abundance, winter severity, precipitation, and landscape composition influenced mortality risk on Marine Corps Base Quantico in northern Virginia, USA, from 2008 to 2019. We tracked 248 fawns outfitted with very high frequency radio-collars and predation was the leading cause of mortality (n = 42; 45%). We estimated survival to 133 days and survival pooling all years (2008–2019) was 0.50 (95% CI = 0.42–0.60). Increased annual red oak (Quercus spp.) mast abundance from the previous fall reduced mortality hazard for fawns. The longevity of our study revealed a link between fawn survival and a specific maternal resource (red oak mast) only available during gestation. Our results highlight the importance of oak mast in eastern deciduous forests and, more broadly, overwinter maternal condition on white-tailed deer recruitment.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22180","usgsCitation":"Aubin, G., Nye, C., Rohm, J., Stamps, R., Ford, W., and Cherry, M., 2022, Survival of white-tailed deer fawns on Marine Corps Base Quantico: The Journal of Wildlife Management, v. 86, no. 3, e22180, 16 p., https://doi.org/10.1002/jwmg.22180.","productDescription":"e22180, 16 p.","ipdsId":"IP-123154","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/jwmg.22180","text":"External Repository"},{"id":466015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Marine Corps Base Quantico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.525,\n 38.675\n ],\n [\n -77.525,\n 38.5\n ],\n [\n -77.275,\n 38.5\n ],\n [\n -77.275,\n 38.675\n ],\n [\n -77.525,\n 38.675\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"86","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Aubin, Gisele R.","contributorId":347865,"corporation":false,"usgs":false,"family":"Aubin","given":"Gisele R.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":922702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nye, Christa C.","contributorId":347866,"corporation":false,"usgs":false,"family":"Nye","given":"Christa C.","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":922703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohm, John H.","contributorId":347867,"corporation":false,"usgs":false,"family":"Rohm","given":"John H.","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":922704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamps, R.T.","contributorId":347868,"corporation":false,"usgs":false,"family":"Stamps","given":"R.T.","affiliations":[{"id":54576,"text":"DoD","active":true,"usgs":false}],"preferred":false,"id":922705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":922701,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherry, Michael J.","contributorId":342702,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael J.","affiliations":[{"id":81913,"text":"Texas A&M University - Kingsville","active":true,"usgs":false}],"preferred":false,"id":922706,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70242758,"text":"70242758 - 2022 - Shallow faulting and folding in the epicentral area of the 1886 Charleston, South Carolina, earthquake","interactions":[],"lastModifiedDate":"2023-04-17T11:49:27.421928","indexId":"70242758","displayToPublicDate":"2022-03-06T06:44:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Shallow faulting and folding in the epicentral area of the 1886 Charleston, South Carolina, earthquake","docAbstract":"The moment magnitude (
Annual bank erosion was measured at multiple cross sections along the free-flowing meandering Powder River in the western United States from 1979 through 2019. Bank erosion was separated into two components—above water and underwater erosion. Above water erosion was measured as the annual bank retreat rate (0–15.4 m y−1). Underwater erosion rate (0–47 m3 m−1 y−1) was calculated as the volume eroded below the water level corresponding to the dominant annual peak discharge, Qp. This paper focuses primarily on the underwater erosion. A total of 491 annual erosion rates were calculated for 23 bank sites along a 90-km study reach in southeastern Montana. Sites were not just hotspots for bank erosion but represent the spectra of variables such as the radius of curvature divided by channel width, R/w (2–86), the peak discharge, Qp (22.7–314 m3 s−1), and the bank orientation (0–360°).
Local annual bank erosion was extremely variable in time and space. It was episodic and unsynchronized along the study reach with the maximum annual bank erosion occurring in different years at different bank sites. The composite probability distribution of all 491 annual bank erosion rates was best modeled by a zero-adjusted Weibull distribution. Individual probability distributions for each of the 23 sites were all different from each other and from the composite distribution highlighting the extreme variability. The correlation of the annual underwater erosion with channel geometry and bank variables was low (R2 < 0.31) but the correlation was higher for peak discharge with 25% of the sites having R2 > 0.50.
Time-averaging reduced the variability at each site and when grouped into five peak-discharge classes each class was correlated with R/w as a power law with an exponent of about −1. Reach-averaging also reduced the variability for each year, and when grouped by bank orientation (north-, east-, south-, and west-facing), bank erosion was linearly related to Qp with south- and west-facing orientations having about twice as much erosion per unit discharge (0.030 m3 m−1 y−1/m3 s−1) than north- and east-facing orientations.
Bank erosion was found to be not just a multi-variate complex process with little correlation and high variability that suggests randomness, but also a process that was a function of a different combinations of variables at different sites at the same time. However, this high variability was reduced by time- and reach-averaging, which produced predictable results analogous to the central limit theorem.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2022.108134","usgsCitation":"Moody, J.A., 2022, The effects of discharge and bank orientation on the annual riverbank erosion along Powder River in Montana, USA: Geomorphology, v. 403, 108134, 17 p., https://doi.org/10.1016/j.geomorph.2022.108134.","productDescription":"108134, 17 p.","ipdsId":"IP-128404","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":409321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Powder River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.1060780230682,\n 44.99730993309305\n ],\n [\n -105.34780716843096,\n 44.99730993309305\n ],\n [\n -105.34780716843096,\n 45.476708847648894\n ],\n [\n -106.1060780230682,\n 45.476708847648894\n ],\n [\n -106.1060780230682,\n 44.99730993309305\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"403","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":856974,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70231766,"text":"70231766 - 2022 - Evidence of a dietary shift by the Florida manatee (Trichechus manatus latirostris) in the Indian River Lagoon inferred from stomach content analyses","interactions":[],"lastModifiedDate":"2022-05-27T13:45:52.178121","indexId":"70231766","displayToPublicDate":"2022-03-04T08:40:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evidence of a dietary shift by the Florida manatee (Trichechus manatus latirostris) in the Indian River Lagoon inferred from stomach content analyses","title":"Evidence of a dietary shift by the Florida manatee (Trichechus manatus latirostris) in the Indian River Lagoon inferred from stomach content analyses","docAbstract":"Investigating the long-term fluctuations of the feeding ecology of megaherbivores such as sirenians is important, as any changes could be indicative of shifts in resource availability. The Indian River Lagoon (IRL), eastern Florida, USA, is a critical habitat for the Florida manatee (Trichechus manatus latirostris). However, the IRL has experienced a substantial decline in seagrass due to the persistence of several harmful algal blooms. Using microhistological analysis, we examined the diet of manatees over a discontinuous sampling period spanning over 38 years using stomach contents collected from carcasses recovered in the IRL. Samples collected between 2013–2015 (post-seagrass die-off, n = 90) were compared to archived stomach samples collected between 1977–1989 (pre-seagrass die-off, n = 103). Samples analyzed from 1977–1989 contained primarily seagrasses (61.7%), followed by algae (28.4%) and vascular plants (1.7%). In contrast, stomach samples from the post-seagrass die-off primarily contained algae (49.5%), followed by seagrasses (34%) and vascular plants (2.7%). Between 1977–1989 and 2013–2015, manatees in the IRL experienced a 44.9% decline in seagrass consumption, and a 74.3% increase in algal consumption. This dietary shift was not influenced by body length, a proxy of age, or sex. Our results indicate that the dietary shift experienced by manatees is due to the decline of available seagrass forage in the IRL, and highlight the dietary plasticity of manatees in the face of changes in resource availability. However, the individual health and population-level consequences of this dietary shift are unknown. An increase in mortality due to undetermined causes in this region since 2012 can be associated with deteriorating body conditions of manatees in the IRL, possibly resulting from a lack of seagrass diet. Future research should further investigate behavioral changes affecting manatees in relation to seagrass decline in the IRL, including the energetic costs of this dietary change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2022.107788","usgsCitation":"Allen, A.C., Beck, C., Sattelberger, D.C., and Kiszka, J.J., 2022, Evidence of a dietary shift by the Florida manatee (Trichechus manatus latirostris) in the Indian River Lagoon inferred from stomach content analyses: Estuarine, Coastal and Shelf Science, v. 268, 107788, 7 p., https://doi.org/10.1016/j.ecss.2022.107788.","productDescription":"107788, 7 p.","ipdsId":"IP-134570","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":401296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Indian River Lagoon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.26611328125,\n 27.176469131898898\n ],\n [\n -80.0738525390625,\n 27.244862521497282\n ],\n [\n -80.57373046875,\n 28.65203063036226\n ],\n [\n -80.85937499999999,\n 28.844673680771795\n ],\n [\n -80.9088134765625,\n 28.7965462417692\n ],\n [\n -80.7989501953125,\n 28.36723539252299\n ],\n [\n -80.4913330078125,\n 27.727298422724655\n ],\n [\n -80.37597656249999,\n 27.391278222579277\n ],\n [\n -80.26611328125,\n 27.176469131898898\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"268","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Aarin Conrad","contributorId":139671,"corporation":false,"usgs":false,"family":"Allen","given":"Aarin","email":"","middleInitial":"Conrad","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":843744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Cathy 0000-0002-5388-5418 cbeck@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-5418","contributorId":168987,"corporation":false,"usgs":true,"family":"Beck","given":"Cathy","email":"cbeck@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":843745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sattelberger, Danielle C.","contributorId":292060,"corporation":false,"usgs":false,"family":"Sattelberger","given":"Danielle","email":"","middleInitial":"C.","affiliations":[{"id":62815,"text":"Environmental Resource Program, Florida Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":843746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiszka, Jeremy J.","contributorId":292061,"corporation":false,"usgs":false,"family":"Kiszka","given":"Jeremy","email":"","middleInitial":"J.","affiliations":[{"id":62816,"text":"Institute of Environment, Department of Biological Sciences, Florida International University","active":true,"usgs":false}],"preferred":false,"id":843747,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228943,"text":"sir20215086 - 2022 - Hydrogeology of aquifers within the Fairport-Lyons channel system and adjacent areas in Wayne, Ontario, and Seneca Counties, New York","interactions":[],"lastModifiedDate":"2026-04-02T19:34:37.460842","indexId":"sir20215086","displayToPublicDate":"2022-03-02T10:40:00","publicationYear":"2022","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":"2021-5086","displayTitle":"Hydrogeology of Aquifers Within the Fairport-Lyons Channel System and Adjacent Areas in Wayne, Ontario, and Seneca Counties, New York","title":"Hydrogeology of aquifers within the Fairport-Lyons channel system and adjacent areas in Wayne, Ontario, and Seneca Counties, New York","docAbstract":"A hydrogeologic investigation was undertaken by the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, within the areas shown in the Macedon, Palmyra, Newark, and Lyons 7.5-minute quadrangle maps that include parts of Wayne, Ontario, and Seneca Counties in New York. The most productive zone of aquifers within the study area is associated with the Fairport-Lyons glacial-stream channel (hereinafter referred to as the “Fairport-Lyons channel”) in southern Wayne County and adjacent areas. The Fairport-Lyons channel is a west-east-oriented bedrock channel that once served as the outlet for glacial Lake Dawson, which occupied the Genesee Valley near Rochester during the Pleistocene. The Fairport-Lyons channel and intersecting subsidiary channels are hereinafter referred to as the “Fairport-Lyons channel system.” Glacial meltwater eroded this shallow channel network into the underlying bedrock, and the channels subsequently filled with interlayered glaciofluvial sand and gravel and fine-grained lacustrine deposits. These sand and gravel deposits provide the only large supplies of groundwater in Wayne County under unconfined and confined conditions and serve a population of over 20,000 through a combination of domestic and municipal water supply wells. The largest reported well yield, 1,200 gallons per minute, is from an industrial supply well near Newark, N.Y. Much of the sand and gravel within the Fairport-Lyons channel system is generally thinly saturated; however, in three areas—near Macedon, Newark, and Lyons, N.Y.—the saturated thickness of the aquifer is sufficient to support groundwater yields adequate for municipal and industrial use, in part because of induced infiltration from the Erie Canal.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215086","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Reynolds, R.J., Heisig, P.M., and Linsey, K.S., 2022, Hydrogeology of aquifers within the Fairport-Lyons channel system and adjacent areas in Wayne, Ontario, and Seneca Counties, New York: U.S. Geological Survey Scientific Investigations Report 2021–5086, 15 p., 2 pls., https://doi.org/10.3133/sir20215086.","productDescription":"Report v, 15 p.; 2 Plates: 36.00 x 24.00 inches and 36.00 x 60.00 inches; Data Release","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070043","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":502111,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112528.htm","linkFileType":{"id":5,"text":"html"}},{"id":396444,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5086/sir20215086.XML"},{"id":396443,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5086/sir20215086.pdf","text":"Report","size":"2.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5086"},{"id":396442,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5086/coverthb.jpg"},{"id":396441,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2021/5086/sir20215086_plate02.pdf","text":"Plate 2","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5086 Plate 2","linkHelpText":"- Geologic sections for the Fairport-Lyons channel system and adjacent areas in Wayne, Ontario, and Seneca Counties, New York: A–A' through E–E'"},{"id":396440,"rank":2,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2021/5086/sir20215086_plate01.pdf","text":"Plate 1","size":"63.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5086 Plate 1","linkHelpText":"- Surficial geologic map of the Fairport-Lyons channel-system aquifer and adjacent areas in Wayne, Ontario, and Seneca Counties, New York [layered pdf; to toggle layers, download the file (right-click and select \"Save link as...\") and open it with Adobe Acrobat Reader]"},{"id":396653,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215086/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":396445,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5086/images/"},{"id":396439,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N3JVAQ","text":"USGS data release","description":"USGS data release","linkHelpText":"Digital datasets for the hydrogeology of aquifers within the Fairport-Lyons Channel System and adjacent areas in Wayne, Ontario, and Seneca Counties, New York"}],"country":"United States","state":"New York","county":"Wayne County, Ontario County, Seneca County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.7142,43.0247],[-76.711,43.0193],[-76.7134,43.0152],[-76.7183,43.0083],[-76.72,43.001],[-76.7237,42.9942],[-76.7314,42.9723],[-76.735,42.9604],[-76.7341,42.9454],[-76.7383,42.934],[-76.7376,42.934],[-76.7397,42.9117],[-76.7396,42.9049],[-76.737,42.899],[-76.7241,42.8778],[-76.7215,42.871],[-76.7213,42.8573],[-76.7198,42.8483],[-76.7179,42.8419],[-76.7165,42.836],[-76.7177,42.8305],[-76.7219,42.8209],[-76.7334,42.8022],[-76.7358,42.7981],[-76.7391,42.7703],[-76.7327,42.7263],[-76.7268,42.7122],[-76.7153,42.6983],[-76.6932,42.6812],[-76.6894,42.6762],[-76.6842,42.6667],[-76.6667,42.6242],[-76.6571,42.6097],[-76.6412,42.5912],[-76.6184,42.5705],[-76.6071,42.5624],[-76.5857,42.5503],[-76.6959,42.5466],[-76.7083,42.547],[-76.7525,42.5457],[-76.7593,42.5451],[-76.7624,42.5451],[-76.7755,42.5445],[-76.8222,42.5436],[-76.8271,42.5431],[-76.8309,42.543],[-76.8545,42.5428],[-76.8807,42.5421],[-76.8962,42.5415],[-76.8937,42.5724],[-76.8944,42.6365],[-76.8935,42.6565],[-76.8981,42.6664],[-76.9335,42.7211],[-76.942,42.7405],[-76.9463,42.7646],[-76.9719,42.7643],[-77.1142,42.7626],[-77.3127,42.7609],[-77.3224,42.7498],[-77.3387,42.7291],[-77.347,42.7104],[-77.3504,42.6994],[-77.3564,42.6675],[-77.3658,42.6674],[-77.3664,42.576],[-77.4057,42.5764],[-77.458,42.5769],[-77.4904,42.5774],[-77.4897,42.5969],[-77.4875,42.6706],[-77.5979,42.672],[-77.5997,42.6898],[-77.6094,42.7214],[-77.6139,42.7473],[-77.6151,42.7636],[-77.5894,42.7631],[-77.5894,42.8236],[-77.5893,42.84],[-77.5878,42.8536],[-77.5572,42.8537],[-77.5573,42.8577],[-77.5562,42.8623],[-77.5544,42.8655],[-77.5519,42.8665],[-77.5487,42.8652],[-77.5475,42.8661],[-77.5495,42.8688],[-77.5514,42.8719],[-77.5522,42.8751],[-77.551,42.8765],[-77.5504,42.8797],[-77.5531,42.8856],[-77.5559,42.8955],[-77.5613,42.9091],[-77.5642,42.9213],[-77.5689,42.934],[-77.5734,42.9371],[-77.5791,42.9388],[-77.5805,42.9438],[-77.4822,42.9431],[-77.4866,43.0321],[-77.3719,43.0329],[-77.3731,43.1221],[-77.3756,43.1898],[-77.3792,43.2748],[-77.3723,43.2759],[-77.3635,43.2773],[-77.3415,43.2799],[-77.3371,43.2804],[-77.3315,43.2792],[-77.3233,43.2806],[-77.3145,43.2808],[-77.3063,43.2795],[-77.2981,43.2783],[-77.2842,43.278],[-77.2641,43.2783],[-77.2409,43.2804],[-77.224,43.282],[-77.212,43.284],[-77.2038,43.2827],[-77.1963,43.2823],[-77.19,43.2838],[-77.1875,43.2852],[-77.1825,43.2843],[-77.1718,43.2831],[-77.163,43.285],[-77.1542,43.2879],[-77.1474,43.2907],[-77.1436,43.2907],[-77.1404,43.2885],[-77.1309,43.2868],[-77.1102,43.288],[-77.1052,43.2894],[-77.1033,43.2894],[-77.0964,43.2877],[-77.085,43.2851],[-77.0679,43.2821],[-77.0565,43.2786],[-77.0483,43.2764],[-77.0432,43.2738],[-77.0281,43.2721],[-77.0136,43.2727],[-76.9991,43.2724],[-76.9929,43.2734],[-76.9873,43.2762],[-76.9816,43.2754],[-76.974,43.2746],[-76.9727,43.2741],[-76.9752,43.27],[-76.9821,43.269],[-76.9871,43.2671],[-76.9876,43.263],[-76.9856,43.2599],[-76.9767,43.2536],[-76.9716,43.2496],[-76.9697,43.2491],[-76.9697,43.2514],[-76.9685,43.2528],[-76.9653,43.2501],[-76.9601,43.2415],[-76.9563,43.2393],[-76.9525,43.2398],[-76.9494,43.2421],[-76.9463,43.2426],[-76.9424,43.2385],[-76.9379,43.2336],[-76.9366,43.2313],[-76.9335,43.2304],[-76.9291,43.2309],[-76.9278,43.2291],[-76.9271,43.225],[-76.9263,43.22],[-76.9244,43.2169],[-76.9225,43.2173],[-76.9209,43.2287],[-76.9242,43.2378],[-76.928,43.2382],[-76.9305,43.2382],[-76.9337,43.2418],[-76.9375,43.2458],[-76.9389,43.2486],[-76.9389,43.2522],[-76.9346,43.2554],[-76.9379,43.2608],[-76.9385,43.2631],[-76.9423,43.264],[-76.9437,43.2685],[-76.9506,43.2689],[-76.9575,43.2693],[-76.962,43.2701],[-76.9633,43.2724],[-76.9607,43.272],[-76.9482,43.2726],[-76.937,43.2772],[-76.9283,43.2832],[-76.9239,43.2856],[-76.9108,43.2893],[-76.8996,43.2945],[-76.8945,43.2959],[-76.8807,43.2951],[-76.8662,43.2957],[-76.8569,43.2995],[-76.8475,43.3023],[-76.8431,43.3037],[-76.8412,43.3024],[-76.8411,43.2992],[-76.8405,43.2974],[-76.8386,43.2988],[-76.8355,43.3002],[-76.8354,43.2979],[-76.8354,43.2952],[-76.8335,43.2934],[-76.8303,43.2934],[-76.8278,43.2943],[-76.8271,43.292],[-76.8257,43.283],[-76.8275,43.2789],[-76.8294,43.2761],[-76.8274,43.2738],[-76.8261,43.2716],[-76.8225,43.2775],[-76.82,43.2821],[-76.8208,43.2898],[-76.8247,43.2957],[-76.8285,43.2993],[-76.8311,43.3034],[-76.8337,43.3043],[-76.8362,43.3042],[-76.8375,43.3051],[-76.8369,43.306],[-76.835,43.3065],[-76.8218,43.3071],[-76.8048,43.3096],[-76.7873,43.3129],[-76.7716,43.3185],[-76.7535,43.3269],[-76.743,43.3338],[-76.733,43.3412],[-76.7311,43.3412],[-76.7304,43.3385],[-76.7304,43.3339],[-76.7291,43.3321],[-76.7247,43.334],[-76.7229,43.3377],[-76.7236,43.3408],[-76.7248,43.3422],[-76.7255,43.3435],[-76.7237,43.3454],[-76.7205,43.3454],[-76.7073,43.1658],[-76.7031,43.1067],[-76.7019,43.0758],[-76.7038,43.0735],[-76.7075,43.0707],[-76.7118,43.0684],[-76.7155,43.0652],[-76.7155,43.0629],[-76.7166,43.0516],[-76.7156,43.0334],[-76.7142,43.0247]]]},\"properties\":{\"name\":\"Ontario\",\"state\":\"NY\"}}]}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Northern long-eared bat (Myotis septentrionalis) populations have experienced severe declines in eastern North America from white-nose syndrome (WNS), yet potential secondary effects on maternity roosting and recruitment remain largely unknown. We documented female day- roosting at two locations in the central Appalachians of Virginia, Back Creek Mountain (BCM) and Rapidan Camp (RC), during 2015 and 2016, ap- proximately six years after the regional onset of WNS. We compared roost characteristics with available trees and roosts recorded prior to WNS at the Fernow Experimental Forest (FEF), West Virginia, in 2007 and 2008. Roosts at BCM were smaller than pre-WNS roosts but were otherwise similar in terms of stand condition and species use, though bats selected for red maple (Acer rubrum) at BCM rather than black locust (Robinia pseudoacacia) as at FEF. At RC, bats roosted almost exclusively in large eastern hemlock (Tsuga canadensis) snags (dbh x¯ = 50.13 cm, SD = 23.1) with high solar exposure that had been killed by the hemlock woolly adelgid (Adelges tsugae). The two observed strategies, selection of smaller, midstory trees at BCM and of dominant, exposed roosts at RC, correspond with pre-WNS observations of female northern long-eared bat roost use at similar sites. However, our re- sults suggest reliance on smaller roosts and canopy-dominant positions that better accommodate solitary individuals and small groups associated with smaller post-WNS colonies in terms of space and thermoregulatory benefits. Despite some observations of pregnant and lactating individuals, all three post-WNS colonies vacated roost networks in early June, and we observed no juveniles. Potential colony failure at BCM and RC is consistent with pre- dicted secondary physiological effects from WNS-induced population collapses, suggesting, if recruitment failed, northern long-eared bats may already be functionally extirpated in portions of the central Appalachians.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Kalen, N., Muthersbaugh, M.S., Johnson, J., Silvis, A., and Ford, W., 2022, Northern long-eared bats in the central Appalachians following white-nose syndrome: Failed maternity colonies?: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 9, p. 159-167.","productDescription":"9 p.","startPage":"159","endPage":"167","ipdsId":"IP-131875","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480719,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2022/northern-long-eared-bats-central-appalachians-following-white-nose-syndrome-failed","linkFileType":{"id":5,"text":"html"}},{"id":481111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.33428751101353,\n 39.425222908113994\n ],\n [\n -80.33428751101353,\n 37.77673487869805\n ],\n [\n -78.39513484183449,\n 37.77673487869805\n ],\n [\n -78.39513484183449,\n 39.425222908113994\n ],\n [\n -80.33428751101353,\n 39.425222908113994\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kalen, Nicholas J.","contributorId":286972,"corporation":false,"usgs":false,"family":"Kalen","given":"Nicholas J.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":924340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muthersbaugh, Michael S.","contributorId":270636,"corporation":false,"usgs":false,"family":"Muthersbaugh","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":924341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Joshua B.","contributorId":270675,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua B.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":924342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silvis, Alexander","contributorId":270624,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":56186,"text":"WV DNR","active":true,"usgs":false}],"preferred":false,"id":924343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":924339,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256683,"text":"70256683 - 2022 - Interannual colony exchange among breeding Eastern Brown Pelicans","interactions":[],"lastModifiedDate":"2024-08-30T15:49:16.568962","indexId":"70256683","displayToPublicDate":"2022-03-01T10:40:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Interannual colony exchange among breeding Eastern Brown Pelicans","docAbstract":"Colonial seabirds often display high rates of interannual site fidelity to breeding locations, especially as adults. Species using more nearshore or coastal systems, however, may display comparatively less fidelity than highly pelagic species. We used long-term GPS tracking data to assess the frequency of interannual colony switching in Eastern Brown Pelicans (Pelecanus occidentalis carolinensis) in the South Atlantic Bight, a species about which adult site fidelity is poorly understood. By using recursive behavioral patterns to identify nest locations, we report 36% of reproductive attempts occurred at colonies that were different from the colony used in a prior year. Colony switching was especially prevalent in female pelicans, and distances between switched colonies ranged from 56 to 592 km. We suggest that long-term telemetry may be a reliable tool for assessing interannual breeding site fidelity, especially when compared to more traditional band resighting efforts.
","language":"English","publisher":"Association of Field Ornithologists","doi":"10.5751/JFO-00074-930105","usgsCitation":"Wilkinson, B.P., and Jodice, P.G., 2022, Interannual colony exchange among breeding Eastern Brown Pelicans: Journal of Field Ornithology, v. 93, no. 1, 5, 7 p., https://doi.org/10.5751/JFO-00074-930105.","productDescription":"5, 7 p.","ipdsId":"IP-132768","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":486872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00074-930105","text":"Publisher Index Page"},{"id":433376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.13454549531326,\n 31.631315558373984\n ],\n [\n -81.43899581910412,\n 31.496130645736173\n ],\n [\n -81.50118238985,\n 31.063680609712733\n ],\n [\n -81.19097593931667,\n 31.13972861864322\n ],\n [\n -81.10767658389439,\n 31.37880444773341\n ],\n [\n -81.13454549531326,\n 31.631315558373984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.60338045917963,\n 33.00055249145659\n ],\n [\n -79.87467500389812,\n 32.93930111981804\n ],\n [\n -79.91864664343109,\n 32.75250095830276\n ],\n [\n -79.7883919304639,\n 32.717250473356934\n ],\n [\n -79.63407742975072,\n 32.81666930938573\n ],\n [\n -79.54820887693526,\n 32.926718586458584\n ],\n [\n -79.60338045917963,\n 33.00055249145659\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"93","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkinson, Bradley P.","contributorId":341576,"corporation":false,"usgs":false,"family":"Wilkinson","given":"Bradley","email":"","middleInitial":"P.","affiliations":[{"id":81755,"text":"Department of Forestry and Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":908639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908640,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236380,"text":"70236380 - 2022 - The Coles Hill uranium deposit, Virginia, USA: Geology, geochemistry, geochronology, and genetic model","interactions":[],"lastModifiedDate":"2022-09-22T18:58:36.948329","indexId":"70236380","displayToPublicDate":"2022-03-01T09:48:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"The Coles Hill uranium deposit, Virginia, USA: Geology, geochemistry, geochronology, and genetic model","docAbstract":"The Coles Hill uranium deposit with an indicated resource of about 130 million lbs. of U3O8 is the largest unmined uranium deposit in the United States. The deposit is hosted in the Taconian (approximately 480 – 450 Ma) Martinsville igneous complex, which consists of the Ordovician Leatherwood Granite (granodiorite) and Silurian Rich Acres Formation (diorite). The host rock was metamorphosed to orthogneiss during the Alleghanian orogeny (approximately 325 – 260 Ma) when it also underwent dextral strike-slip movement along the Brookneal shear zone. During the Triassic, extensional tectonics led to the development of the Dan River Basin that lies east of Coles Hill. The mineralized zone is hosted in brittle structures in the footwall of the Triassic Chatham fault that forms the western edge of the basin. Within brittle fracture zones, uranium silicate and uranium-bearing fluorapatite with traces of brannerite form veins and breccia fill with chlorite, quartz, calcite, titanium oxide, pyrite, and calcite. Uranium silicates also coat and replace primary titanite, zircon, ilmenite, and sulfides. Sodium metasomatism preceded and accompanied uranium mineralization, pervasively altering host rock, and forming albite from primary feldspar, depositing limpid albite rims on feldspar, altering titanite to titanium oxide and calcite and forming riebeckite. Various geothermometers suggest temperatures of less than approximately ~200°C during mineralization. In situ U-Pb analyses of titanite, Ti-oxide, and apatite, and Rb/Sr and U/Pb isotope-systematics of whole rock samples resolve the timing of geologic processes affecting Coles Hill. The host Leatherwood granite containing primary euhedral titanite is dated at 450 – 445 Ma, in agreement with previously obtained ages from zircon in the Martinsville igneous complex. A regional metamorphic event at 330 – 310 Ma formed anhedral titanite and some apatite, re-equilibrated whole rock Rb/Sr and U-Pb isotopes and is interpreted to have coincided with movement along the Brookneal shear zone. During shearing and metamorphism primary refractory uranium-bearing minerals including titanite, zircon, and uranothorite were recrystallized and uranium was liberated and incorporated locally into hematite, clay, and other fine-grained minerals. Uranium mineralization was accompanied by a metasomatic episode between 250 and 200 Ma that reset the Rb-Sr and U-Pb isotope systems, forming titanite and apatite that are associated and in places intimately intergrown with uranium silicate dating mineralization. This event coincides with rifting that formed the Dan River Basin and was a precursor to the breakup of Pangea. Based on the close spatial and temporal association of uranium with apatite, we conclude that uranium was carried as a uranyl-phosphate complex. The release of calcium during sodium metasomatic alteration of primary calcic feldspar and titanite in the host rock initiated successive reactions in which uranium and phosphate in mineralizing fluids combined with calcium to form U-enriched fluorapatite. Excess uranium was locally reduced by coupled redox reactions involving ferrous iron and sulfide minerals in the host rock, forming uranium silicates. Based on the deposit mineralogy, oxygen isotope geochemistry and trace element characteristics of uranium silicate and gangue minerals the primary mineralizing fluids likely included connate and/or meteoric water sourced from the local Dan River Basin. High heat flow related to Mesozoic rifting may have driven these (P-Na-F-rich) brines through local aquifers and into basin margin faults, transporting uranium from the basin or mobilizing uranium from previously formed U-minerals in the Brookneal shear zone, or from U-enriched older basement rock.
","language":"English","publisher":"Geoscience World","doi":"10.5382/econgeo.4874","usgsCitation":"Hall, S., Beard, J., Potter, C.J., Bodnar, R., Neymark, L.A., Paces, J.B., Johnson, C.A., Breit, G., Zielinski, R.A., and Aylor, G.J., 2022, The Coles Hill uranium deposit, Virginia, USA: Geology, geochemistry, geochronology, and genetic model: Economic Geology, v. 117, no. 2, p. 273-304, https://doi.org/10.5382/econgeo.4874.","productDescription":"32 p.","startPage":"273","endPage":"304","ipdsId":"IP-114752","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467196,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5382/econgeo.4874","text":"External Repository"},{"id":406221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Coles Hill uranium deposit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.32369232177733,\n 36.79663936342829\n ],\n [\n -79.31201934814453,\n 36.78371696963503\n ],\n [\n -79.2388916015625,\n 36.838416010067164\n ],\n [\n -79.19254302978516,\n 36.92190087212616\n ],\n [\n -79.20902252197266,\n 36.930409002242804\n ],\n [\n -79.27528381347656,\n 36.86231738103478\n ],\n [\n -79.32369232177733,\n 36.79663936342829\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Susan M. 0000-0002-0931-8694","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":296158,"corporation":false,"usgs":true,"family":"Hall","given":"Susan M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":850826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, J.S.","contributorId":296159,"corporation":false,"usgs":false,"family":"Beard","given":"J.S.","email":"","affiliations":[{"id":27992,"text":"Virginia Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":850827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":296160,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":850828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodnar, R.J.","contributorId":296162,"corporation":false,"usgs":false,"family":"Bodnar","given":"R.J.","affiliations":[{"id":54689,"text":"Virginia Polytechnical Institute and State University","active":true,"usgs":false}],"preferred":false,"id":850829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":296164,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid","email":"lneymark@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":850830,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":215864,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":850831,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":850832,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Breit, G.N.","contributorId":296172,"corporation":false,"usgs":false,"family":"Breit","given":"G.N.","email":"","affiliations":[{"id":63998,"text":"Former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":850833,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zielinski, Robert A. 0000-0002-4047-5129 rzielinski@usgs.gov","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":1593,"corporation":false,"usgs":true,"family":"Zielinski","given":"Robert","email":"rzielinski@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":850834,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Aylor, G. J. Jr.","contributorId":296174,"corporation":false,"usgs":false,"family":"Aylor","given":"G.","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":27992,"text":"Virginia Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":850835,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70240638,"text":"70240638 - 2022 - Great Lakes lake trout thiamine monitoring program annual report","interactions":[],"lastModifiedDate":"2023-02-10T14:43:47.798215","indexId":"70240638","displayToPublicDate":"2022-03-01T08:34:59","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":7577,"text":"Annual Report","active":true,"publicationSubtype":{"id":4}},"title":"Great Lakes lake trout thiamine monitoring program annual report","docAbstract":"The U.S. Geological Survey’s Great Lakes Science Center (GLSC), Eastern Ecological Science Center, and Columbia Environmental Research Center (CERC), and the State University of New York (SUNY) Brockport have conducted in collaboration with partner agencies a cooperative program to monitor thiamine concentrations in lake trout eggs since the late 1990s. In 2021, egg thiamine concentrations were highly variable at each sampling site. No eggs samples with thiamine concentrations less than the 4 nmol/g threshold recommended for successful lake trout reproduction were collected in Lakes Superior, Huron, Erie, and Champlain. In contrast, every site in Lakes Michigan and Ontario and Cayuga Lake had some lake trout eggs below 4 nmol/g. Time series of mean lake trout egg thiamine concentrations showed high temporal and spatial variability within the Great Lakes region.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Rinchard, J., Blowers, T., and Lantry, B.F., 2022, Great Lakes lake trout thiamine monitoring program annual report: Annual Report, 14 p.","productDescription":"14 p.","ipdsId":"IP-138978","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":412945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412925,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.50168188088435,\n 50.145656635677284\n ],\n [\n -92.50168188088435,\n 41.53090693545596\n ],\n [\n -71.88727532711619,\n 41.53090693545596\n ],\n [\n -71.88727532711619,\n 50.145656635677284\n ],\n [\n -92.50168188088435,\n 50.145656635677284\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rinchard, Jacques","contributorId":302335,"corporation":false,"usgs":false,"family":"Rinchard","given":"Jacques","affiliations":[{"id":65405,"text":"Brockport State University of New York","active":true,"usgs":false}],"preferred":false,"id":864056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blowers, Thomas","contributorId":302336,"corporation":false,"usgs":false,"family":"Blowers","given":"Thomas","affiliations":[{"id":65405,"text":"Brockport State University of New York","active":true,"usgs":false}],"preferred":false,"id":864057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":864058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70231191,"text":"70231191 - 2022 - Geology & mineralogy of the Old Mine Park area Trumbull Connecticut","interactions":[],"lastModifiedDate":"2022-05-03T13:59:36.642522","indexId":"70231191","displayToPublicDate":"2022-02-28T08:46:16","publicationYear":"2022","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Geology & mineralogy of the Old Mine Park area Trumbull Connecticut","docAbstract":"Old Mine Park, in the northern Trumbull area (also known as Long Hill) of southwestern Connecticut, is a recreation area encompassing the mineral-rich hill of “Saganawamps” and owned by the Town of Trumbull. Most of its 72 acres are wooded, rocky and undeveloped but it is surrounded by dense infrastructure and transportation, residential, retail, and commercial development (Figure 1). It preserves the first tungsten mine operated east of the Mississippi and the first topaz locality identified in the USA (Hitchcock and Silliman, 1825), as well as the type locality for the mineral tungstite (WO3·H2O). Hiking and biking trails cross the property and continue beyond the park along the former New Haven railroad line that parallels the Pequonnock River, which flows through the southern part of the park. Access is from the south via Old Mine Road, or from the north via Corporate Drive. During the mining era and for many decades after its creation the park was a famous source of mineral specimens. In 2016 the Trumbull Parks and Recreation Commission suspended collecting of any kind.
","language":"English","publisher":"State Geological and Natural History Survey of Connecticut, Department of Energy and Environmental Protection in cooperation with The Geological Society of Connecticut","usgsCitation":"Moritz, H., Wintsch, R.P., Devlin, B., McAleer, R.J., Lee, S., Kim, S., and Yi, K., 2022, Geology & mineralogy of the Old Mine Park area Trumbull Connecticut, 76 p.","productDescription":"76 p.","ipdsId":"IP-134706","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":400047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":400045,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://portal.ct.gov/DEEP/Geology/Bedrock-Geologic-Map-of-Old-Mine-Park"}],"country":"United States","state":"Connecticut","city":"Trumbull","otherGeospatial":"Old Mine Park area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.2322883605957,\n 41.28461122720116\n ],\n [\n -73.22082996368408,\n 41.28461122720116\n ],\n [\n -73.22082996368408,\n 41.293446681007\n ],\n [\n -73.2322883605957,\n 41.293446681007\n ],\n [\n -73.2322883605957,\n 41.28461122720116\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moritz, Harold","contributorId":291251,"corporation":false,"usgs":false,"family":"Moritz","given":"Harold","email":"","affiliations":[{"id":37275,"text":"none","active":true,"usgs":false}],"preferred":false,"id":841905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wintsch, Robert P.","contributorId":192913,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":841906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Devlin, Bill","contributorId":291252,"corporation":false,"usgs":false,"family":"Devlin","given":"Bill","email":"","affiliations":[{"id":62640,"text":"Rock Bottom Research","active":true,"usgs":false}],"preferred":false,"id":841908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":841907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Shinae","contributorId":291332,"corporation":false,"usgs":false,"family":"Lee","given":"Shinae","email":"","affiliations":[],"preferred":false,"id":842078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, SookJu","contributorId":291333,"corporation":false,"usgs":false,"family":"Kim","given":"SookJu","email":"","affiliations":[],"preferred":false,"id":842079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yi, Keewook","contributorId":198725,"corporation":false,"usgs":false,"family":"Yi","given":"Keewook","email":"","affiliations":[],"preferred":false,"id":842080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70229414,"text":"70229414 - 2022 - State of stress in areas of active unconventional oil and gas development in North America","interactions":[],"lastModifiedDate":"2022-03-07T11:58:56.628602","indexId":"70229414","displayToPublicDate":"2022-02-28T05:54:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"State of stress in areas of active unconventional oil and gas development in North America","docAbstract":"In this paper, we present comprehensive data on stress orientation and relative magnitude in areas throughout North America where unconventional oil and gas are currently being developed. We find excellent agreement between maximum horizontal principal stress (SHmax) orientations over a wide range of depths, using multiple methods. In all basins studied, we observed coherent stress fields that in some cases vary systematically from one part of a basin to another. In the Appalachian Basin in the eastern United States, SHmax is oriented northeast–southwest to east-northeast–west-southwest and the style of faulting is compressive, transitioning from reverse faulting in eastern Pennsylvania and New York to principally strike-slip faulting in western Pennsylvania, Ohio, and West Virginia. In the midcontinent, central Oklahoma is characterized by an approximately east–west SHmax direction and strike-slip faulting. The Fort Worth Basin in northeastern Texas is characterized by normal–strike-slip faulting and a north-northeast–south-southwest SHmax direction. In the Midland subbasin of western Texas, SHmax is consistently approximately east–west and normal–strike-slip faulting is observed. Farther west, the Delaware subbasin of western Texas and southeastern New Mexico is characterized by normal faulting and SHmax rotates ∼150° clockwise from north to south. Marked changes in SHmax direction also occur across the Raton Basin of southern Colorado and northern New Mexico, the Denver-Julesburg Basin in northern Colorado, and the Uinta Basin in northeastern Utah, likely associated with their location near the margins of extensional provinces. The new data sets we present help improve operational efficiency by constraining absolute stress magnitudes and the ideal azimuth to drill horizontal wells (i.e., perpendicular to the local SHmax orientation) and make it possible to predict which fractures and faults are likely to be activated during hydraulic stimulation.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/08102120151","usgsCitation":"Lundstern, J., and Zoback, M., 2022, State of stress in areas of active unconventional oil and gas development in North America: AAPG Bulletin, v. 106, no. 2, p. 355-385, https://doi.org/10.1306/08102120151.","productDescription":"31 p.","startPage":"355","endPage":"385","ipdsId":"IP-120371","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":435943,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90LS6QF","text":"USGS data release","linkHelpText":"Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America"},{"id":396771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lundstern, Jens-Erik 0000-0003-0000-8013","orcid":"https://orcid.org/0000-0003-0000-8013","contributorId":264189,"corporation":false,"usgs":true,"family":"Lundstern","given":"Jens-Erik","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":837336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zoback, Mark D. 0000-0002-8851-2099","orcid":"https://orcid.org/0000-0002-8851-2099","contributorId":288082,"corporation":false,"usgs":false,"family":"Zoback","given":"Mark D.","affiliations":[{"id":61706,"text":"Stanford University Department of Geophysics","active":true,"usgs":false}],"preferred":false,"id":837337,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}