Responsible stewardship of native fish populations and riparian plants in the Meduxnekeag River watershed in northeastern Maine is a high priority for the Houlton Band of Maliseet Indians. Understanding the potential changes in hydrology and water temperature as a result of climate change is important to this priority for evaluating future habitat conditions in the watershed. This report, prepared in cooperation with the Houlton Band of Maliseet Indians, documents and presents the results of a model using the Precipitation-Runoff Modeling System (PRMS), a hydrologic model designed to provide streamflow and water temperature simulations under predicted changes in precipitation and air temperature during the next century.
To estimate streamflows and water temperature in the Meduxnekeag River watershed, a PRMS model was developed and calibrated. By using the calibrated PRMS model, simulations were made for projected scenarios of 0, 5, 10, and 15 percent increases in precipitation and for increases in air temperature of 0.0, 3.6, 7.0, and 10.4 degrees Fahrenheit (°F). The increases in precipitation and temperature were applied to all the daily input values uniformly. These scenarios were based upon the results from 30 climate change models summarized in the National Climate Change Viewer. Streamflows and water temperatures modeled for different climate scenarios were compared with streamflows and water temperatures modeled with unadjusted climate inputs.
Overall, streamflow increased with increasing precipitation and decreased with increasing air temperature. Water temperature increased with increasing air temperature. At the outlet of the studied Meduxnekeag River watershed, with both a 15 percent increase in precipitation and a 10.4 °F increase in air temperature, the mean annual streamflow increased by 17 percent from 489 cubic feet per second (ft3/s) to 572 ft3/s, and the mean annual maximum streamflow decreased by 8.3 percent from 3,870 ft3/s to 3,550 ft3/s. At the same location and under the same scenario, the mean annual water temperature increased by 17.5 percent from 47.4 °F to 55.7 °F.
Significant changes in mean monthly streamflows were found with increasing air temperature. The PRMS model results showed that when air temperature was increased, there was an increase in mean monthly streamflow during the winter months and a decrease in mean monthly streamflow during the spring months. In addition, with a 10.4 °F increase in the air temperature, the month with the greatest monthly streamflow changed from April to December. In addition, the PRMS model estimated that the mean annual maximum snowpack in snow water equivalent for the watershed would decrease from 7.67 inches to 1.26 inches, and the mean annual date of the maximum snowpack would change from March 21 to January 28 with a 15 percent increase in precipitation and a 10.4 °F increase in air temperature.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215104","collaboration":"Prepared in cooperation with the Houlton Band of Maliseet Indians","usgsCitation":"Bjerklie, D.M., and Olson, S.A., 2021, Simulating the effects of climate-related changes to air temperature and precipitation on streamflow and water temperature in the Meduxnekeag River watershed, Maine: U.S. Geological Survey Scientific Investigations Report 2021–5104, 35 p., https://doi.org/10.3133/sir20215104.","productDescription":"Report: vi, 35 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-123224","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":392380,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215104/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":392032,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5104/sir20215104.XML"},{"id":392030,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EB4H6H","text":"USGS data release","linkHelpText":"Data for simulating the effects of air temperature and precipitation changes on streamflow and water temperature in the Meduxnekeag River watershed, Maine"},{"id":392029,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5104/sir20215104.pdf","text":"Report","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5104"},{"id":392031,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5104/images/"},{"id":392028,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5104/coverthb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Meduxnekeag River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.302001953125,\n 45.92154267288144\n ],\n [\n -67.78289794921875,\n 45.92154267288144\n ],\n [\n -67.78289794921875,\n 46.26913887119721\n ],\n [\n -68.302001953125,\n 46.26913887119721\n ],\n [\n -68.302001953125,\n 45.92154267288144\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
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No abstract available.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Loope, K., DeSha, J.N., Lawson, G., and Hunter, E.A., 2021, Gopherus polyphemus (Gopher Tortoise). 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Nicole","contributorId":343344,"corporation":false,"usgs":false,"family":"DeSha","given":"J.","email":"","middleInitial":"Nicole","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":924337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawson, Garrett R.","contributorId":349495,"corporation":false,"usgs":false,"family":"Lawson","given":"Garrett R.","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":924338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70226652,"text":"sir20215133 - 2021 - Streambed scour of salmon (Oncorhynchus spp.) redds in the Sauk River, Northwestern Washington","interactions":[],"lastModifiedDate":"2021-12-03T00:21:45.583067","indexId":"sir20215133","displayToPublicDate":"2021-12-01T16:17:54","publicationYear":"2021","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":"2021-5133","displayTitle":"Streambed Scour of Salmon (Oncorhynchus spp.) Redds in the Sauk River, Northwestern Washington","title":"Streambed scour of salmon (Oncorhynchus spp.) redds in the Sauk River, Northwestern Washington","docAbstract":"The autumn and winter flood season of western Washington coincides with the incubation period of many Pacific salmon (Onchorhynchus spp.) populations. During this period, salmon embryos incubating within gravel nests called “redds” are vulnerable to mobilization of surrounding sediment during floods. As overlying sediment is transported downstream, the vertical position of the streambed can be lowered, a process termed streambed scour; thus developing salmon embryos may be destroyed resulting in decreasing egg-to-fry survival rates. The Sauk River, which drains a 1,900 km2 (733.5 mi2) area of the central Cascade Range of Washington State, provides spawning and rearing habitat for several species of Pacific salmon including Chinook salmon (O. tshawytscha), which were listed as threatened under the Endangered Species Act (ESA) in 1999. In order to assess the hydrologic conditions when streambed scour and concomitant geomorphic changes occur, accelerometer scour monitors (ASMs), which record the time when streambed scour lowers the streambed to the level of salmon egg pockets, were deployed in two geomorphically different reaches of the Sauk River to monitor scour during water year 2018. Nineteen ASMs were deployed in an upstream reach, which was largely confined by valley walls with vegetated, stable banks and low channel-migration rates near the confluence of the Sauk and White Chuck Rivers. Twelve additional ASMs were deployed in a downstream reach within an unconfined valley with unvegetated, unstable banks and high channel-migration rates between the town of Darrington and the confluence of the Sauk and Suiattle Rivers. During the ASM deployment, discharge measured at the U.S. Geological Survey (USGS) streamgage Sauk River above White Chuck River, near Darrington, Washington (12186000), peaked at 479 m3/s (16,900 ft3/s) with an estimated 0.18 probability of annual exceedance (5.7-year recurrence interval). During the flood season, large-scale geomorphic changes, including channel migration and bar deposition, were measured at the downstream reach, but only minimal geomorphic changes were measured at the upstream reach. ASMs deployed at the downstream reach were not recovered after the flood season and total scour depth was presumed to have exceeded ASM anchor depth. At the upstream reach, 7 of the 19 deployed ASMs were recovered after the flood season and all recovered ASMs recorded scour at discharges that equaled or exceeded 204 m3/s (7,210 ft3/s). The remaining 12 ASMs deployed at the upstream reach were not recovered and total scour depth was presumed to have exceeded ASM anchor depth. Collectively, this analysis enhances the ability of fisheries managers to forecast egg-to-fry survival rates of salmonids by determining the hydrologic conditions at which scour at the level of salmon redds initiates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215133","collaboration":"Prepared in cooperation with the Sauk-Suiattle Indian Tribe","usgsCitation":"Gendaszek, A.S., 2021, Streambed scour of salmon (Oncorhynchus spp.) redds in the Sauk River, Northwestern Washington: U.S. Geological Survey Scientific Investigations Report 2021–5133, 19 p., https://doi.org/10.3133/sir20215133.","productDescription":"Report: iv, 19 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-124695","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":392362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95KOMTC","text":"USGS data release","description":"USGS data release.","linkHelpText":"Accelerometer scour monitor data on the Sauk River, Washington, Water Year 2018"},{"id":392360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5133/coverthb.jpg"},{"id":392361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5133/sir20215133.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5133"}],"country":"United States","state":"Washington","otherGeospatial":"Sauk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80816650390625,\n 48.31060120649363\n ],\n [\n -121.36871337890625,\n 48.31060120649363\n ],\n [\n -121.36871337890625,\n 48.6927734325279\n ],\n [\n -121.80816650390625,\n 48.6927734325279\n ],\n [\n -121.80816650390625,\n 48.31060120649363\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
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934 Broadway, Suite 300
Tacoma, Washington 98402
This study addresses the characteristics, potential hazards, and both eruptive and non-eruptive role of water at selected volcanic crater lakes in Alaska. Crater lakes are an important feature of some stratovolcanoes in Alaska. Of the volcanoes in the state with known Holocene eruptive activity, about one third have summit crater lakes. Also included are two volcanoes with small caldera lakes (Katmai, Kaguyak). The lakes play an important but not well studied role in influencing eruptive behavior and pose some significant hydrologic hazards. Floods from crater lakes in Alaska are evaluated by estimating maximum potential crater lake water volumes and peak outflow discharge with a dam-break model. Some recent eruptions and hydrologic events that involved crater lakes also are reviewed. The large volumes of water potentially hosted by crater lakes in Alaska indicate that significant flowage hazards resulting from catastrophic breaching of crater rims are possible. Estimates of maximum peak flood discharge associated with breaching of lake-filled craters derived from dam-break modeling indicate that flood magnitudes could be as large as 103–106 m3/s if summit crater lakes drain rapidly when at maximum volume. Many of the Alaska crater lakes discussed are situated in hydrothermally altered craters characterized by complex assemblages of stratified unconsolidated volcaniclastic deposits, in a region known for large magnitude (>M7) earthquakes. Although there are only a few historical examples of eruptions involving crater lakes in Alaska, these provide noteworthy examples of the role of external water in cooling pyroclastic deposits, acidic crater-lake drainage, and water-related hazards such as lahars and base surge.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2021.751216","usgsCitation":"Waythomas, C.F., 2021, Selected crater and small caldera lakes in Alaska: Characteristics and hazards: Frontiers in Earth Science, v. 9, 751216, 23 p., https://doi.org/10.3389/feart.2021.751216.","productDescription":"751216, 23 p.","ipdsId":"IP-132664","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2021.751216","text":"Publisher Index Page"},{"id":463360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -142.4292614840023,\n 61.7867815706897\n ],\n [\n -179,\n 61.7867815706897\n ],\n [\n -179,\n 49.606118935666444\n ],\n [\n -144.99994877731635,\n 56.83072738947416\n ],\n [\n -142.4292614840023,\n 61.7867815706897\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2022-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917093,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70226845,"text":"70226845 - 2021 - A characterization of deep-sea coral and sponge communities along the California and Oregon coast using a remotely operated vehicle on the EXPRESS 2018 expedition","interactions":[],"lastModifiedDate":"2022-01-20T17:47:27.706118","indexId":"70226845","displayToPublicDate":"2021-12-01T11:47:06","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NMFS-SWFSC 657","title":"A characterization of deep-sea coral and sponge communities along the California and Oregon coast using a remotely operated vehicle on the EXPRESS 2018 expedition","docAbstract":"Deep-sea coral and sponge (DSCS) communities serve as essential fish habitats (EFH) by providing shelter and nursery habitat, increasing diversity, and increasing prey availability (Freese and Wing, 2003; Bright, 2007; Baillon et al., 2012; Henderson et al., 2020). Threats to these long-lived, fragile organisms from bottom contact fishing gear, potential offshore renewable energy development, and ocean warming and acidification have increased the need for DSCS research along the U.S. West Coast (Gomez et al., 2018; Salgado et al., 2018; Yoklavich, et al., 2018; Gugliotti et al., 2019). The focus of these studies has varied from species distribution and abundance (Yoklavich and Love, 2005; Tissot et al., 2006) to developing and validating predictive distribution models (Huff et al., 2013; Rooper et al., 2017; Kreidler, 2020) to finding medicinal uses for corals and sponges (Essack et al., 2011; Shrestha et al., 2018). Due to the vast area of unexplored seafloor within the U.S. exclusive economic zone (EEZ; 200 nautical miles off the coast) and the technological requirements and expanse of deep-sea research, there is still much to learn about the distributions and biology of DSCS. This information is critical to resource managers for effective conservation and management of DSCS habitats. Protections are provided by the Pacific Fishery Management Council (PFMC) designation of groundfish EFH conservation areas (EFHCA) and the National Marine Sanctuaries Act (NMSA). Areas designated as EFHCA are closed to bottom trawl fishing to protect and preserve seafloor habitats. Recently the PFMC adopted Amendment 28 to the Groundfish Fishery Management Plan (GFMP; Pacific Fishery Management Council, 2019) which modified EFHCAs by closing new areas identified as vulnerable and reopening areas deemed not vulnerable. The NMSA prohibits bottom disturbance from certain activities within areas designated as national marine sanctuaries, such as oil and gas exploration or extraction, cable laying, and other forms of seabed alteration or construction that disturb benthic communities. \n\nNOAA’s Deep-Sea Coral and Research Technology Program (DSCRTP) began a 4-yr funding initiative for the U.S. West Coast in 2017. The goals of the West Coast Deep-Sea Coral Initiative (WCDSCI) were to: 1) gather baseline information on areas subject to fishing regulation changes prior to the implementation of Amendment 28; 2) improve our understanding of known DSCS bycatch “hot spots”; and 3) explore and assess DSCS resources within NOAA National Marine Sanctuaries with emphasis on areas of sanctuary resource protection and management concerns. During the first year of the program, a research cruise was developed to survey the West Coast from Oregon to California studying the DSCS ecosystems in priority areas. The 31-day expedition (9 Oct – 8 Nov, 2018) was launched from the NOAA Ship Bell M. Shimada, beginning in Newport, OR and ending in San Diego, CA. \n\nThe science team assembled for this cruise were members of the EXpanding Pacific Research and Exploration of Submerged Systems (EXPRESS) campaign, which brings together researchers from federal and nonfederal institutions to collaborate on scientific expeditions targeting the deepwater areas off California, Oregon, and Washington. EXPRESS supports researchers leveraging funding, resources, personnel, and expertise to accomplish more science than would have been possible by a single entity alone. The 2018 coastwide expedition included research partners from National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) and Northwest Fisheries Science Center (NWFSC), National Ocean Service (Channel Islands, Cordell Bank, Greater Farallones, and Monterey Bay National Marine Sanctuaries), Bureau of Ocean Energy Management (BOEM), U.S. Geological Survey (USGS), and Monterey Bay Aquarium Research Institute (MBARI). \n\nResearch objectives for the cruise were to:\n\n1) Collect DSCS baseline information at 10 of the EFHCA sites undergoing protection modifications by the Pacific Fishery Management Council.\n\n2) Collect DSCS and fish data at previously unexplored sites within West Coast National Marine Sanctuaries.\n\n3) Revisit a subset of previously surveyed sites to document if changes in DCSC have occurred over time.\n\n4) Collect information to validate BOEM supported cross-shelf habitat suitability models for DSCS.\n\n5) Collect samples to help in identifying (and understanding) West Coast DSCS and expand use of new technologies (ROV, AUV, and environmental DNA [eDNA]).\n\n6) Collect water samples for coastwide eDNA, nutrient, and carbon chemistry studies.","language":"English","publisher":"NOAA","doi":"10.25923/sd6f-j739","usgsCitation":"Laidig, T., Watters, D., Prouty, N.G., Everett, M., Duncan, L., Clarke, L., Caldow, C., and Demopoulos, A., 2021, A characterization of deep-sea coral and sponge communities along the California and Oregon coast using a remotely operated vehicle on the EXPRESS 2018 expedition: NOAA Technical Memorandum NMFS-SWFSC 657, 122 p., https://doi.org/10.25923/sd6f-j739.","productDescription":"122 p.","ipdsId":"IP-134460","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":394597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126.01318359375001,\n 34.288991865037524\n ],\n [\n -120.498046875,\n 34.288991865037524\n ],\n [\n -120.498046875,\n 46.08847179577592\n ],\n [\n -126.01318359375001,\n 46.08847179577592\n ],\n [\n -126.01318359375001,\n 34.288991865037524\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Laidig, Tom","contributorId":270131,"corporation":false,"usgs":false,"family":"Laidig","given":"Tom","email":"","affiliations":[{"id":56090,"text":"NOAA Fisheries, SWFSC, Fisheries Ecology Division, Santa Cruz, CA","active":true,"usgs":false}],"preferred":false,"id":828462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watters, Diana","contributorId":270132,"corporation":false,"usgs":false,"family":"Watters","given":"Diana","email":"","affiliations":[{"id":56090,"text":"NOAA Fisheries, SWFSC, Fisheries Ecology Division, Santa Cruz, CA","active":true,"usgs":false}],"preferred":false,"id":828463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":828464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Everett, Meredith","contributorId":270133,"corporation":false,"usgs":false,"family":"Everett","given":"Meredith","email":"","affiliations":[{"id":56092,"text":"NOAA Fisheries, NWFSC, Seattle WA","active":true,"usgs":false}],"preferred":false,"id":828465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duncan, Lizzie","contributorId":270134,"corporation":false,"usgs":false,"family":"Duncan","given":"Lizzie","email":"","affiliations":[{"id":56094,"text":"NOAA, NOS, Channel Islands National Marine Sanctuary, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":828466,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clarke, Liz","contributorId":270135,"corporation":false,"usgs":false,"family":"Clarke","given":"Liz","email":"","affiliations":[{"id":56092,"text":"NOAA Fisheries, NWFSC, Seattle WA","active":true,"usgs":false}],"preferred":false,"id":828467,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caldow, Chris","contributorId":270136,"corporation":false,"usgs":false,"family":"Caldow","given":"Chris","affiliations":[{"id":56094,"text":"NOAA, NOS, Channel Islands National Marine Sanctuary, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":828468,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":222185,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":828469,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70225624,"text":"70225624 - 2021 - Invasive carp population modeling to support an adaptive management framework","interactions":[],"lastModifiedDate":"2024-03-21T16:31:40.616244","indexId":"70225624","displayToPublicDate":"2021-12-01T11:29:33","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":9543,"text":"Interim Summary Report","active":true,"publicationSubtype":{"id":3}},"title":"Invasive carp population modeling to support an adaptive management framework","docAbstract":"No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Interim summary report: Invasive carp monitoring and response plan 2021","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Asian Carp Regional Coordinating Committee","usgsCitation":"Erickson, R.A., 2021, Invasive carp population modeling to support an adaptive management framework: Interim Summary Report, 4 p.","productDescription":"4 p.","startPage":"132","endPage":"135","ipdsId":"IP-129312","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":426839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391072,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://invasivecarp.us/PlansReports.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":825981,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70226621,"text":"ofr20211078 - 2021 - Quantification of metal loading using tracer dilution and instantaneous synoptic sampling and importance of diel cycling in Leavenworth Creek, Clear Creek County, Colorado, 2012","interactions":[],"lastModifiedDate":"2021-12-16T21:16:26.305379","indexId":"ofr20211078","displayToPublicDate":"2021-12-01T11:10:00","publicationYear":"2021","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":"2021-1078","displayTitle":"Quantification of Metal Loading Using Tracer Dilution and Instantaneous Synoptic Sampling and Importance of Diel Cycling in Leavenworth Creek, Clear Creek County, Colorado, 2012","title":"Quantification of metal loading using tracer dilution and instantaneous synoptic sampling and importance of diel cycling in Leavenworth Creek, Clear Creek County, Colorado, 2012","docAbstract":"Leavenworth Creek, a tributary of South Clear Creek and Clear Creek near Georgetown, Colorado, contains copper, lead, and zinc at concentrations close to or in excess of aquatic-life standards. In the summer of 2012, the U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Forest Service and the Colorado Division of Reclamation, Mining and Safety, conducted monitoring to (1) quantify the effects of diel cycling and perform synoptic sampling in a way to minimize those effects, (2) separate “point” or distinct single tributaries or sources of load from diffuse load sources along the study reach to aid remediation planning, and (3) quantify metal loading from transmountain diversion of water from Peru Creek through the Vidler Tunnel into Leavenworth Creek. The study included monitoring for diel cycles in June 2012 and diel and synoptic sampling in August 2012 along an approximately 2-kilometer stream reach. Synoptic samples were collected at 26 stream and 35 inflow, tributary, mine waste seep, and mine tunnel sites from August 28 to 30, 2012.
In June 2012, temperature, dissolved oxygen, and pH showed strong diel signals at two sites in Leavenworth Creek, with temperature and pH having minimum values near dawn and maximum values during the afternoon and dissolved oxygen having maximum values in the early morning and minimum values in late afternoon. Concentrations of zinc, cadmium, cobalt, manganese, and yttrium showed strong diel fluctuations at both sites with minimum concentrations during daytime and maximum concentrations during nighttime. Because of these diel cycles, all stream sites were sampled during synoptic sampling at 1200 hours on August 30, 2012. During synoptic sampling from August 28 to 30, 2012, zinc showed maximum concentrations at nighttime and minimum concentrations at midday and diel variation ranged from 26 to 33 percent.
Inflows from the Wilcox Tunnel and Waldorf seep area were the greatest source of zinc load to the stream (about 45 percent), and a left-bank inflow in the dispersed tailings area was the greatest source of lead (about 45 percent) and manganese (about 25 percent) loads to the stream, and a secondary source for zinc (about 40 percent). Copper load was almost equally divided (about 35 percent) between these two sources. Diffuse loading, likely from left-bank sources, was evident for copper, lead, manganese, and zinc in the stream reach from approximately 800 to 1,200 meters, and for copper, lead, and, to a lesser extent, manganese in the reach containing left-bank dispersed tailings (from approximately 1,300 to 1,800 meters). The load values reported herein are minimum estimates because the stream synoptic samples were collected at 1200 hours when positively charged elements, including copper, lead, manganese, and zinc, have minimum concentrations. Diel patterns measured for zinc during the synoptic sampling indicate maximum daily zinc loads were as much as 33 percent greater than those measured at 1200 hours on August 30, 2012.
Transmountain diversion of water through Vidler Tunnel negatively affects water quality in Leavenworth Creek as indicated by much greater metal loads and concentrations and a visually evident mixing zone where Vidler Tunnel water joins Leavenworth Creek when diversion is active compared to when it is not.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20211078","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service and the Colorado Division of Reclamation, Mining and Safety","usgsCitation":"Walton-Day, K., Runkel, R.L., Smith, C.D., and Kimball, B.A., 2021, Quantification of metal loading using tracer dilution and instantaneous synoptic sampling and importance of diel cycling in Leavenworth Creek, Clear Creek County, Colorado, 2012: U.S. Geological Survey Open-File Report 2021–1078, 37 p., https://doi.org/10.3133/ofr20211078.","productDescription":"Report: viii, 37 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-102543","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":392247,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HGC2V4","text":"USGS data release","linkHelpText":"Stream discharge, sodium, bromide, and specific conductance data for stream and hyporheic zone samples affected by injection of sodium bromide tracer, Leavenworth Creek, Clear Creek County, Colorado, August 2012"},{"id":392246,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1078/ofr20211078.pdf","text":"Report","size":"5.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1078"},{"id":392245,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1078/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"Clear Creek County","otherGeospatial":"Leavenworth Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.86219787597655,\n 39.595371402863655\n ],\n [\n -105.69602966308594,\n 39.595371402863655\n ],\n [\n -105.69602966308594,\n 39.71405356154611\n ],\n [\n -105.86219787597655,\n 39.71405356154611\n ],\n [\n -105.86219787597655,\n 39.595371402863655\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225
The South Loup River in central Nebraska has been impaired by bacteria since at least 2004, which has resulted in the river not meeting its intended use as a recreational waterway. As part of a strategy for reducing the bacterial load in the river, the U.S. Geological Survey, in cooperation with the Lower Loup Natural Resources District, made continuous estimates of Escherichia coli (E. coli) and nutrient concentrations during seasonal monitoring at the South Loup River at Saint Michael, Nebraska, during 2017–18. Continuous turbidity data were collected from mid-April through October in 2017 and 2018 and were paired with 35 co-occurring discrete water samples that were analyzed for E. coli, nutrients, and suspended solids. Surrogate models relating the discrete concentrations to the continuous turbidity data were developed using ordinary-least-squares regression and were evaluated for model performance and uncertainty. Although the model assumptions were met for E. coli, the imprecision of the E. coli model was considerably higher than the other constituents, probably because of measurement imprecision and greater sensitivity to environmental factors. Once the models were developed, the turbidity data were used to predict continuous constituent concentrations and corresponding prediction intervals, which were made available online as part of the U.S. Geological Survey National Water Information System database. It is expected that results from these models will provide stakeholders with an understanding of constituent concentrations during the 2017–18 monitoring period and the results will also provide a good reference point for any future comparisons.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215120","collaboration":"Prepared in cooperation with the Lower Loup Natural Resources District","usgsCitation":"Rus, D.L., and Densmore, B.K., 2021, Continuous turbidity data used to compute constituent concentrations in the South Loup River, Nebraska, 2017–18: U.S. Geological Survey Scientific Investigations Report 2021–5120, 10 p., https://doi.org/10.3133/sir20215120.","productDescription":"Report: vi, 10 p.; 2 Datasets","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-127801","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":392236,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5120/coverthb.jpg"},{"id":392237,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5120/sir20215120.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5120"},{"id":392238,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://www.waterqualitydata.us/","text":"National Water Quality Monitoring Council website and digital data","linkHelpText":"— Water quality portal"},{"id":392239,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"Nebraska","otherGeospatial":"South Loup River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.667724609375,\n 40.93841495689795\n ],\n [\n -98.2177734375,\n 40.93841495689795\n ],\n [\n -98.2177734375,\n 42.02481360781777\n ],\n [\n -100.667724609375,\n 42.02481360781777\n ],\n [\n -100.667724609375,\n 40.93841495689795\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
—Double-Crested Cormorants (Nannopterum auritum) and Neotropic Cormorants (Nannopterum brasilianum) are thought to be expanding their populations across Texas. This expansion is cause for a concern for both fish stocking and fisheries management in public waters. To examine the historic and current populations and distributions of cormorants, we first evaluated the temporal and spatial patterns of cormorants in Texas. Also, because cormorants are thought to depredate public fisheries, we conducted a small observational field study to assess cormorant presence and behavior at lakes relative to fish stocking. We compiled Christmas Bird Count (CBC) data for both species over a period of fifty years (1970 to 2019). We assessed changes in detection rates at CBCs among years as evidence of population trends during the winter, and changes in distance from the Gulf Coast of CBCs reporting cormorants for evidence of changes in distribution. Our results suggest that winter populations of Double-Crested Cormorants are relatively stable, with no meaningful change in distribution. In contrast, Neotropic Cormorants appear to be both increasing in number and expanding their range. Our assessment of cormorant abundance and behavior at stocked and unstocked lakes from December through February revealed a significant difference in detections among the stocked lakes during pre- and post-stocking but no significant difference among the control lakes.
","language":"English","publisher":"Texas Ornithological Society","usgsCitation":"Morris, S.A., Boal, C.W., and Patino, R., 2021, Assessing cormorant populations and association with fish stocking in Texas: Bulletin of the Texas Ornithological Society, v. 54, no. 1-2, p. 1-8.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-135215","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432308,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://texasbirds.org/publications/bulletin-of-the-texas-ornithological-society/"},{"id":433509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"54","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morris, Sophie A.","contributorId":341918,"corporation":false,"usgs":false,"family":"Morris","given":"Sophie","email":"","middleInitial":"A.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":909160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":909159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":909161,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226877,"text":"70226877 - 2021 - Data-driven prospectivity modelling of sediment-hosted mineral systems","interactions":[],"lastModifiedDate":"2025-06-18T15:48:21.907004","indexId":"70226877","displayToPublicDate":"2021-12-01T10:42:21","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Data-driven prospectivity modelling of sediment-hosted mineral systems","docAbstract":"Mississippi Valley-type (MVT) and clastic-dominated (CD) deposits are important sources for Zn, Pb, Ag, and Cd as well as the critical elements Ga, Ge, In, and Sb. However, mapping the drivers, sources, pathways, and traps of MVT and CD deposits within the much larger and mostly unmineralized sedimentary basins remain some of the least understood aspects of these mineral systems. Herein we address those knowledge gaps by integrating public geoscience datasets from Canada, the United States of America, and Australia using a discrete global grid system to map the continent-scale footprints of MVT and CD deposits.","conferenceTitle":"Mineral Prospectivity and Exploration Targeting – MinProXT 2021 Webinar","conferenceDate":"October 12-13 & 26-27, 2021","language":"English","publisher":"Geological Survey of Finland","collaboration":"Geological Survey of Canada and Geoscience Australia","usgsCitation":"Lawley, C.J., McCafferty, A.E., Graham, G.E., Gadd, M.G., Huston, D.L., Kelley, K.D., Czarnota, K., Paradis, S., Peter, J.M., Hayward, N., Barlow, M., Emsbo, P., Coyan, J.A., and San Juan, C.A., 2021, Data-driven prospectivity modelling of sediment-hosted mineral systems, Mineral Prospectivity and Exploration Targeting – MinProXT 2021 Webinar, October 12-13 & 26-27, 2021, p. 67-70.","productDescription":"4 p.","startPage":"67","endPage":"70","ipdsId":"IP-131337","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":490924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490923,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gtk.fi/en/minproxt-2021-webinar/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationDate":"2021-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawley, Christopher J.M. 0000-0001-6877-0675","orcid":"https://orcid.org/0000-0001-6877-0675","contributorId":328598,"corporation":false,"usgs":false,"family":"Lawley","given":"Christopher","email":"","middleInitial":"J.M.","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":828577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":828578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","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}],"preferred":true,"id":828579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gadd, Michael G.","contributorId":270171,"corporation":false,"usgs":false,"family":"Gadd","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":828580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huston, David L.","contributorId":67139,"corporation":false,"usgs":true,"family":"Huston","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":828581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":828582,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Czarnota, Karol","contributorId":270196,"corporation":false,"usgs":false,"family":"Czarnota","given":"Karol","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":828584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paradis, Suzanne","contributorId":31666,"corporation":false,"usgs":true,"family":"Paradis","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":828585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peter, Jan M.","contributorId":270175,"corporation":false,"usgs":false,"family":"Peter","given":"Jan","email":"","middleInitial":"M.","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":828586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hayward, Nathan","contributorId":270177,"corporation":false,"usgs":false,"family":"Hayward","given":"Nathan","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":828587,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barlow, Mike","contributorId":270179,"corporation":false,"usgs":false,"family":"Barlow","given":"Mike","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":828588,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","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}],"preferred":true,"id":828583,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Coyan, Joshua A. 0000-0002-8450-7364 jcoyan@usgs.gov","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":197481,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"jcoyan@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":828589,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":828590,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70224955,"text":"70224955 - 2021 - Exploring basin-scale relations and unsupervised classification to quantify and automate the definition of assessment units in USGS continuous oil and gas resource assessments","interactions":[],"lastModifiedDate":"2025-06-17T15:42:06.522652","indexId":"70224955","displayToPublicDate":"2021-12-01T10:34:26","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring basin-scale relations and unsupervised classification to quantify and automate the definition of assessment units in USGS continuous oil and gas resource assessments","docAbstract":"The U.S. Geological Survey (USGS) assesses potential for undiscovered, technically recoverable oil and gas resources in priority geologic provinces and quantifies resource volume estimates within subdivisions called assessment units (AUs). AU boundaries are defined by USGS geologists using quantitative and qualitative geologic information. Variables contained in IHS Markit’s well and production databases can quantify and/or function as proxies for many of the qualitative, boundary-defining variables. This research explores a new approach to determine AU boundaries and the potential to automate their definition, using data analytics and machine learning algorithms on key, qualitative variables within the IHS Markit databases. Well and production data from the U.S. onshore Gulf Coast region for the Upper Cretaceous Eagle Ford Group and Austin Chalk are used in this analysis because each is relatively geologically uniform in Texas and both have recently been assessed by the USGS. The Eagle Ford is an example of an in situ continuous oil and gas accumulation, and the overlying Austin Chalk is an example of a combined conventional and continuous resource, sourced from the underlying Eagle Ford. Wellspecific values were extracted or calculated from data in IHS Markit’s well and production databases for depth to top and base of the formations, formation thickness, bottom-hole temperature, temperature gradient, temperature at base of formation, cumulative oil and gas production values, barrels of oil equivalent, oil and gas gravities, mud weights from initial well test, depth pressure ratio, and excess pressure. A raster for each variable was interpolated using the natural neighbor technique from the spatial analyst toolbox in ArcGIS. Rasters were then transformed using minimum-maximum scaling, which rescales the distribution to the range of 0–1. Clustering was completed using the iso cluster unsupervised classification tool on the normalized rasters. Raster cell groupings from two to ten were explored, with initial results demonstrating that four to six classes return the most differentiable groups, with depth to formation, oil gravity, pressure, and temperature variables containing the greatest between-group differences. Modeled clusters have spatial similarities to the geologically defined AUs, with indication that temperature and pressure are the most fundamental to AU definition. Input from geologists will remain crucial for further dividing clusters and defining final AUs, since AUs are defined by both qualitative and quantitative information; however, this research documents promising cluster modeling results for the automation of initial AU definitions.
","conferenceTitle":"SEG-AAPG International Meeting for Applied Geoscience & Energy (IMAGE) 2021","conferenceDate":"September 26-October 1, 2021","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Exploration Geophysicists and the American Association of Petroleum Geologists","usgsCitation":"Shorten, C., Kinney, S.A., and Whidden, K.J., 2021, Exploring basin-scale relations and unsupervised classification to quantify and automate the definition of assessment units in USGS continuous oil and gas resource assessments, SEG-AAPG International Meeting for Applied Geoscience & Energy (IMAGE) 2021, Denver, CO, September 26-October 1, 2021, 10 p.","productDescription":"10 p.","ipdsId":"IP-131669","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":490854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490853,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/international-meeting-for-applied-geoscience-and-energy/data/2021/7321.htm?q=%2BauthorStrip%3Ashorten","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana, Mississippi, Texas","otherGeospatial":"Upper Cretaceous Eagle Ford Group and Austin Chalk","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.46300363364126,\n 29.853524579639256\n ],\n [\n -98.79174292446497,\n 26.39154767945162\n ],\n [\n -97.15568801261291,\n 25.692988402953162\n ],\n [\n -96.30476798511874,\n 27.907758438495677\n ],\n [\n -93.26076686296953,\n 29.3771372231364\n ],\n [\n -88.088627576136,\n 28.580800903730534\n ],\n [\n -88.5714936485433,\n 32.46814742644388\n ],\n [\n -94.5985927100297,\n 32.52158667154865\n ],\n [\n -101.46300363364126,\n 29.853524579639256\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shorten, Chilisa Marie 0000-0003-1828-2002","orcid":"https://orcid.org/0000-0003-1828-2002","contributorId":267256,"corporation":false,"usgs":true,"family":"Shorten","given":"Chilisa Marie","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824845,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229714,"text":"70229714 - 2021 - Effects of sample gear on estuarine nekton assemblage assessments and food web model simulations","interactions":[],"lastModifiedDate":"2022-03-17T13:23:05.511118","indexId":"70229714","displayToPublicDate":"2021-12-01T10:32:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sample gear on estuarine nekton assemblage assessments and food web model simulations","docAbstract":"Long-term fisheries-independent sampling data inform population status and trends of species-specific biomass and are often used to drive biomass-based food web models such as the Comprehensive Aquatic Systems Model (CASM). Indicators such as total biomass and mean trophic level derived from these data and from CASM outputs inform management and facilitate assessments of on-going and predicted coastal change and restoration activities on fisheries, but rely on consistent sampling to enable comparisons across space and time. Changes in coastal estuarine gradients, combined with the availability of new sampling technologies, highlight a need to assess the potential consequences of changing sampling technologies on fisheries data and the cascading impact on model outputs. In Louisiana, USA, CASM models are used to inform coastal restoration projects, relying on 40 years of fisheries-independent data derived from 50′ seine sampling. However, alternative use of electrofishers as a sampling method has been proposed to replace the seine sampling. In this study, we examine data from concurrent seine and electrofisher sampling in Barataria Basin, Louisiana, and compare biomass, assemblage data and CASM outputs related to species biomass, food web structure and energy cycling. In a paired comparison of data in 2018–2019, the electrofisher captured higher total catch and diversity compared to the seine. The electrofisher samples were dominated by shrimp (grass, white, brown) and larger bodied fish, while seine samples were dominated by smaller-bodied fish (i.e., anchovy, menhaden). Ecosystem indicators derived from running the CASM using biomass data from seine and electrofisher sampling separately in two different simulation exercises provide contrasting results. In Simulation Exercise 1, the use of different datasets (long-term CASM calibration, 2018–2019 seine, 2018–2019 electrofisher) to initialize the CASM biomasses did not result in large or long-running changes in the simulated biomasses over time. In contrast, in Simulation Exercise 2, CASM model outputs using adjusted gear ratios indicated changes in biomass structure when using electrofisher data, with a doubling of total food web biomass due to the increased shrimp count, and a 13% increase in total energy flow through the food web. Conversions based on area and gear efficiency for overall catch may be useful in maintaining the continuity of historical data. However, differences in species-specific catch due to gear selectivity could have large consequences for constructing and calibrating fish and ecosystem models and remain difficult to reconcile. These differences in assemblages, and estimated biomasses for key food web species, suggest careful consideration in changing gears.
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M.","contributorId":220867,"corporation":false,"usgs":false,"family":"Taylor","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":838076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watkins, Katherine S.","contributorId":288553,"corporation":false,"usgs":false,"family":"Watkins","given":"Katherine","email":"","middleInitial":"S.","affiliations":[{"id":52096,"text":"Dynamic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":838077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiskaddon, E.","contributorId":276292,"corporation":false,"usgs":false,"family":"Kiskaddon","given":"E.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":838079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baustian, M.","contributorId":288555,"corporation":false,"usgs":false,"family":"Baustian","given":"M.","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":838080,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70242771,"text":"70242771 - 2021 - Supplemental vegetation monitoring plots at Little Bighorn Battlefield National Monument to accelerate learning of the Annual Brome Adaptive Management (ABAM) model","interactions":[],"lastModifiedDate":"2024-03-05T16:44:23.727968","indexId":"70242771","displayToPublicDate":"2021-12-01T10:23:29","publicationYear":"2021","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":"Supplemental vegetation monitoring plots at Little Bighorn Battlefield National Monument to accelerate learning of the Annual Brome Adaptive Management (ABAM) model","docAbstract":"The Annual Brome Adaptive Management (ABAM) project is a consortium of seven parks in the Northern Great Plains (NGP) working together to better understand how to control invasive annual grasses (including Bromus species) through an adaptive management approach. This approach is supported by a quantitative model that uses current data from standardized vegetation monitoring plots in all seven parks to annually update the model’s parameters and predictions regarding the effects of different management actions on invasive annual grasses and other components of the mixed-grass prairie plant community. This updating of the model is called “learning.”
The original ABAM model has little information about the effects of the herbicide indaziflam on target invasive annual grasses and other components of the vegetation in conditions like those that frequently occur in ABAM parks (i.e., ungrazed). The purpose of this study is to provide some of that information and therefore accelerate the rate of learning accomplished in the adaptive management cycle.
","language":"English","publisher":"National Park Service","usgsCitation":"Symstad, A., Richardson, T., and Swanson, D., 2021, Supplemental vegetation monitoring plots at Little Bighorn Battlefield National Monument to accelerate learning of the Annual Brome Adaptive Management (ABAM) model: Annual Report, 5 p.","productDescription":"5 p.","ipdsId":"IP-152073","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":415838,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/RPRS/IAR/Profile/573320","linkFileType":{"id":5,"text":"html"}},{"id":426325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Little Bighorn Battlefield National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.42780937203189,\n 45.55613907753829\n ],\n [\n -107.41424157476726,\n 45.56297486244455\n ],\n [\n -107.42644541357662,\n 45.57478473659421\n ],\n [\n -107.44274112775177,\n 45.56674424099478\n ],\n [\n -107.44575619381031,\n 45.566543213856875\n ],\n [\n -107.44259755317754,\n 45.56327642203598\n ],\n [\n -107.43943891254428,\n 45.56151730159996\n ],\n [\n -107.4385056778117,\n 45.560763375980855\n ],\n [\n -107.44123359472226,\n 45.55814968884059\n ],\n [\n -107.43814674137612,\n 45.55679253410301\n ],\n [\n -107.43584954818878,\n 45.55789836636245\n ],\n [\n -107.43412665329791,\n 45.56016022820128\n ],\n [\n -107.43218839654568,\n 45.55855180246806\n ],\n [\n -107.43419844058504,\n 45.55593801245129\n ],\n [\n -107.43075265080329,\n 45.555586146818285\n ],\n [\n -107.42780937203189,\n 45.55613907753829\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Symstad, Amy 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":201095,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":869743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Timm","contributorId":334581,"corporation":false,"usgs":false,"family":"Richardson","given":"Timm","email":"","affiliations":[],"preferred":false,"id":895969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Dan","contributorId":334582,"corporation":false,"usgs":false,"family":"Swanson","given":"Dan","email":"","affiliations":[],"preferred":false,"id":895970,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230205,"text":"70230205 - 2021 - Genomics reveals identity, phenology and population demographics of larval ciscoes (Coregonus artedi, C. hoyi, and C. kiyi) in the Apostle Islands, Lake Superior","interactions":[],"lastModifiedDate":"2022-04-05T15:27:13.158382","indexId":"70230205","displayToPublicDate":"2021-12-01T10:14:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genomics reveals identity, phenology and population demographics of larval ciscoes (Coregonus artedi, C. hoyi, and C. kiyi) in the Apostle Islands, Lake Superior","title":"Genomics reveals identity, phenology and population demographics of larval ciscoes (Coregonus artedi, C. hoyi, and C. kiyi) in the Apostle Islands, Lake Superior","docAbstract":"We demonstrate, for the first time, the ability to reliably assign an assemblage of larval coregonines [Salmonidae Coregoninae] to shallow and multiple deepwater species. Larval coregonines from the Apostle Islands, Lake Superior, were genotyped using restriction site-associated DNA sequencing (RADseq) and were assigned to species using reference genotypes from adult corgonines from the same region. Of the 193 genotyped larvae, 101 were assigned as Coregonus artedi (average assignment probability = 97.6%), 57 were assigned as C. kiyi (average assignment probability = 95.5%), and 28 were assigned as C. hoyi (average assignment probability = 89.0%). Coregonus artedi were collected earliest in the season, followed by C. kiyi and then C. hoyi. Estimates of genetic diversity within each species provide a baseline for future monitoring in the Apostle Islands. Our success with species assignment indicates the promise of leveraging genomic data for larval coregonine identification, which could enable assessing and evaluating early life history dynamics and recruitment processes at the species level to the benefit of ongoing coregonine restoration and management efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.09.012","usgsCitation":"Lachance, H., Ackiss, A.S., Larson, W., Vinson, M., and Stockwell, J.D., 2021, Genomics reveals identity, phenology and population demographics of larval ciscoes (Coregonus artedi, C. hoyi, and C. kiyi) in the Apostle Islands, Lake Superior: Journal of Great Lakes Research, v. 47, no. 6, p. 1849-1857, https://doi.org/10.1016/j.jglr.2021.09.012.","productDescription":"9 p.","startPage":"1849","endPage":"1857","ipdsId":"IP-127797","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":450101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.09.012","text":"Publisher Index Page"},{"id":398118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Alaska","interactions":[],"lastModifiedDate":"2024-10-29T14:51:56.414934","indexId":"70260126","displayToPublicDate":"2021-12-01T09:47:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Simultaneous effusive and explosive cinder cone eruptions at Veniaminof Volcano, Alaska","docAbstract":"Historical eruptions of Veniaminof Volcano, Alaska have all occurred at a 300-m-high cinder cone within the icefilled caldera that characterizes the volcano. At least six of nineteen historical eruptions involved simultaneous explosive and effusive activity from separate vents. Eruptions in 1944, 1983–1984, 1993–1994, 2013, 2018 and 2021 included periods of explosive ash-producing Strombolian activity from summit vents and simultaneous nonexplosive effusion of lava from flank vents on either the southern or northeast sides of the cone. A T-junction conduit network is proposed to explain the simultaneous eruptive styles and as a mechanism for gas-magma segregation that must occur to produce the observed activity. Historical eruptions with simultaneous summit and flank activity produced slightly higher rising ash clouds compared to historical eruptions where simultaneous activity did not occur. This could be a consequence of the partitioning of more gas-charged magma into the vertical conduit of a T-junction conduit system.
","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.04.02.295307","usgsCitation":"Waythomas, C.F., 2021, Simultaneous effusive and explosive cinder cone eruptions at Veniaminof Volcano, Alaska: Volcanica, v. 4, no. 2, p. 295-307, https://doi.org/10.30909/vol.04.02.295307.","productDescription":"13 p.","startPage":"295","endPage":"307","ipdsId":"IP-123129","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467220,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.04.02.295307","text":"Publisher Index Page"},{"id":463342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Veniaminof Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.61853128517166,\n 56.32013696150028\n ],\n [\n -159.61853128517166,\n 56.00933215264163\n ],\n [\n -159.04223263726425,\n 56.00933215264163\n ],\n [\n -159.04223263726425,\n 56.32013696150028\n ],\n [\n -159.61853128517166,\n 56.32013696150028\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917094,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70241051,"text":"70241051 - 2021 - Inter- and intra-annual effects of lethal removal on common raven abundance in Nevada and California, USA","interactions":[],"lastModifiedDate":"2023-03-08T15:17:43.127372","indexId":"70241051","displayToPublicDate":"2021-12-01T09:10:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13291,"text":"Human–Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Inter- and intra-annual effects of lethal removal on common raven abundance in Nevada and California, USA","docAbstract":"Populations of common ravens (Corvus corax; ravens) have increased rapidly within sagebrush (Artemisia spp.) ecosystems between 1960 and 2020. Although ravens are native to North America, their population densities have expanded to levels that negatively influence the population dynamics of other wildlife species of conservation concern, such as greater sage-grouse (Centrocercus urophasianus) and desert tortoises (Gopherus agassizii). For this reason, lethal removal, such as the application of the avicide DRC-1339, has been used to manage raven numbers at local scales and under certain circumstances. Because the relative effectiveness of DRC-1339 in reducing raven populations densities is not thoroughly understood, we completed 2 case studies using a before-after-control-impact experimental design of density estimates generated from point count data within a Bayesian hierarchical distance sampling framework. Specifically, we analyzed >16,000 point count surveys collected during 2009–2019 and split into 2 study designs covering multiple field sites within the Great Basin region. The first experiment evaluated intra-annual changes in density by comparing before and after treatment time periods within a single breeding season for multiple treatment regions compared to 2 control regions. The other experiment focused on inter-annual differences by comparing time periods across years before and after the onset of annual avicide application for a single treatment region compared to multiple control regions. Our models estimated a 100% probability of decline in density relative to control sites for both the intra- and inter-annual model designs. At treatment sites, expected densities of ravens varied but were reduced by 43% (95% CRI: 33–49%) and 54% (95% CRI: 24–71%) according to intra- and inter-annual analyses, respectively, whereas densities increased by 42% (95% CRI: 27–60%) and 15% (95% CRI: -17 to 58%) at control sites. Although population densities were reduced with treatments, trends indicated that sustained effort would likely be needed to maintain densities at acceptable levels within regions of interest. Effectively reducing the adverse effects of raven populations on other native species likely will depend on a variety of targeted management actions such as improving habitat quality for prey species, possibly reducing ravens’ population density, and treating the cause of increased raven abundance to reduce future carrying capacity and prevent rebounds.
","language":"English","publisher":"Berryman Institute","doi":"10.26077/p79d-en84","usgsCitation":"O’Neil, S.T., Coates, P.S., Brockman, J.C., Jackson, P.J., Spencer, J.O., and Williams, P.J., 2021, Inter- and intra-annual effects of lethal removal on common raven abundance in Nevada and California, USA: Human–Wildlife Interactions, v. 15, no. 3, 20, 16 p., https://doi.org/10.26077/p79d-en84.","productDescription":"20, 16 p.","ipdsId":"IP-130888","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":413856,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.06172324180406,\n 41.791122396069284\n ],\n [\n -120.49545088606604,\n 41.791122396069284\n ],\n [\n -120.49545088606604,\n 37.428574642347996\n ],\n [\n -114.06172324180406,\n 37.428574642347996\n ],\n [\n -114.06172324180406,\n 41.791122396069284\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brockman, Julia C.","contributorId":302928,"corporation":false,"usgs":false,"family":"Brockman","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":865867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Pat J.","contributorId":206602,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat","email":"","middleInitial":"J.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":865868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spencer, Jack O. Jr.","contributorId":196229,"corporation":false,"usgs":false,"family":"Spencer","given":"Jack","suffix":"Jr.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":865869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":865870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70236368,"text":"70236368 - 2021 - Metal accumulation in Lake Michigan prey fish: Influence of ontogeny, trophic position, and habitat","interactions":[],"lastModifiedDate":"2023-09-18T20:50:58.994088","indexId":"70236368","displayToPublicDate":"2021-12-01T09:01:28","publicationYear":"2021","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":"Metal accumulation in Lake Michigan prey fish: Influence of ontogeny, trophic position, and habitat","docAbstract":"Developing an understanding of factors that influence the accumulation and magnification of heavy metals in fish of the Laurentian Great Lakes is central to managing ecosystem and human health. We measured muscle tissue concentrations of heavy metals in Lake Michigan prey fish that vary in habitat use, diet, and trophic position, including alewife, bloater, deepwater sculpin, round goby, rainbow smelt, and slimy sculpin. For each individual, we measured tissue concentrations of four metals (chromium [Cr], copper [Cu], manganese [Mn], and total mercury [THg]), stable isotope ratios for trophic position (δ15N and δ13C), and individual fish attributes (length, mass). Total mercury concentration was positively related to total length and δ15N. Of all species, round goby displayed one of the greatest increases in mercury per unit growth and was most isotopically distinct from other species. Profundal species (bloater, deepwater sculpin, slimy sculpin) had similar high THg tissue concentrations, possibly due to slower growth due to cold temperatures, whereas other species (alewife, round goby, rainbow smelt) showed more variation in THg. In contrast, other metals (Cr, Cu, Mn) had either a negative or no relationship to total length and δ15N, suggesting no bioaccumulation or biomagnification. Potential incorporation of mercury by sportfish may thus be related to species, age, diet, trophic position, and habitat of prey fish. Our findings serve as a foundation for understanding how heavy metals accumulate in Lake Michigan food webs and highlight the continued need for management of metal input and cycling in Lake Michigan.
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S.","contributorId":140062,"corporation":false,"usgs":false,"family":"Gerig","given":"Brandon","email":"","middleInitial":"S.","affiliations":[{"id":13372,"text":"Uni. Florida","active":true,"usgs":false}],"preferred":false,"id":850811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovin, Lea M.","contributorId":296153,"corporation":false,"usgs":false,"family":"Lovin","given":"Lea","email":"","middleInitial":"M.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":850812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, David B. 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":216540,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":850813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lamberti, Gary A.","contributorId":296154,"corporation":false,"usgs":false,"family":"Lamberti","given":"Gary","email":"","middleInitial":"A.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":850814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241052,"text":"70241052 - 2021 - Spatial modeling of common raven density and occurrence helps guide landscape management within Great Basin sagebrush ecosystems","interactions":[],"lastModifiedDate":"2023-03-08T15:03:20.772821","indexId":"70241052","displayToPublicDate":"2021-12-01T08:55:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13291,"text":"Human–Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Spatial modeling of common raven density and occurrence helps guide landscape management within Great Basin sagebrush ecosystems","docAbstract":"Common ravens (Corvus corax; ravens) are a behaviorally flexible nest predator of several avian species, including species of conservation concern. Movement patterns based on life history phases, particularly territoriality of breeding birds and transiency of nonbreeding birds, are thought to influence the frequency and efficacy of nest predation. As such, predicting where on the landscape territorial resident and non-territorial transient birds may be found in relation to the distribution of sensitive prey is of increasing importance to managers and conservationists. From 2007 to 2019, we conducted raven point count surveys between mid-March and mid-September across 43 different field sites representing typical sagebrush (Artemisia spp.) ecosystems of the Great Basin, USA. The surveys conducted during 2007–2016 were used in previously published maps of raven occurrence and density. Here, we examined the relationship between occurrence and density of ravens using spatially explicit predictions from 2 previously published studies and differentiate areas occupied by higher concentrations of resident ravens as opposed to transients. Surveys conducted during 2017–2019 were subsequently used to evaluate the predicted trends from our analytical approach. Specifically, we used residuals from a generalized linear regression to establish the relationship between occurrence and density, which ultimately resulted in a spatially explicit categorical map that identifies areas of resident versus transient ravens. We evaluated mapped categories using independently collected observed raven group sizes from the 2017–2019 survey data, as well as an independent dataset of global positioning system locations of resident and transient individuals monitored during 2019–2020. We observed moderate agreement between the mapped categories and independent datasets for both evaluation approaches. Our map provides broad inference about spatial variation in potential predation risk from ravens for species such as greater sage-grouse (Centrocercus urophasianus) and can be used as a valuable spatial layer for decision support tools aimed at guiding raven management decisions and, ultimately, improving survival and reproduction of sensitive prey within the Great Basin.
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Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel","interactions":[],"lastModifiedDate":"2021-12-17T14:52:22.814771","indexId":"70226872","displayToPublicDate":"2021-12-01T08:45:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel","docAbstract":"Hydrodynamics control the movement of water and material within and among habitats, where time-scales of mixing can exert bottom-up regulatory effects on aquatic ecosystems through their influence on primary production. The San Francisco Estuary (estuary) is a low-productivity ecosystem, which is in part responsible for constraining higher trophic levels, including fishes. Many research and habitat-restoration efforts trying to increase primary production have been conducted, including, as described here, a whole-ecosystem nutrient addition experiment where calcium nitrate was applied in the Sacramento River Deep Water Ship Channel (DWSC) to see if phytoplankton production could be increased and exported out of the DWSC. As an integral part of this experiment, we investigated the physical mechanisms that control mixing, and how these mechanisms affect the strength and duration of thermal stratification, which we revealed as critical for controlling phytoplankton dynamics in the relatively turbid upper DWSC. Analysis of a suite of mixing mechanisms and time-scales show that both tidal currents and wind control mixing rates and stratification dynamics in the DWSC. Longitudinal and vertical dispersion increased during periods of high wind, during which wind speed influenced dispersion more than tidal currents. Thermal stratification developed most days, which slowed vertical mixing but was rapidly broken down by wind-induced mixing. Stratification rarely persisted for longer than 24 hours, limiting phytoplankton production in the study area. The interaction between physical mechanisms that control mixing rates, mediate stratification dynamics, and ultimately limit primary production in the DWSC may be useful in informing habitat restoration elsewhere in the Delta and in other turbid aquatic environments.
","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2021v19iss4art5","usgsCitation":"Lenoch, L., Stumpner, P., Burau, J.R., Loken, L.C., and Sadro, S., 2021, Dispersion and stratification dynamics in the upper Sacramento River deep water ship channel: San Francisco Estuary and Watershed Science, v. 19, no. 4, 5, 30 p., https://doi.org/10.15447/sfews.2021v19iss4art5.","productDescription":"5, 30 p.","ipdsId":"IP-125060","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":450107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss4art5","text":"Publisher Index Page"},{"id":393047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"upper Sacramento River Deep Water Ship Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.87683105468749,\n 38.05890484918669\n ],\n [\n -121.5472412109375,\n 38.05890484918669\n ],\n [\n -121.5472412109375,\n 38.617943458629746\n ],\n [\n -121.87683105468749,\n 38.617943458629746\n ],\n [\n -121.87683105468749,\n 38.05890484918669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lenoch, Leah 0000-0003-4613-0858","orcid":"https://orcid.org/0000-0003-4613-0858","contributorId":270181,"corporation":false,"usgs":true,"family":"Lenoch","given":"Leah","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumpner, Paul 0000-0002-0933-7895 pstump@usgs.gov","orcid":"https://orcid.org/0000-0002-0933-7895","contributorId":5667,"corporation":false,"usgs":true,"family":"Stumpner","given":"Paul","email":"pstump@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadro, Steven 0000-0002-6416-3840","orcid":"https://orcid.org/0000-0002-6416-3840","contributorId":139662,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","email":"","affiliations":[{"id":12871,"text":"Marine Science Institute, University of California, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":828560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230007,"text":"70230007 - 2021 - Retreat and regrowth of the Greenland Ice Sheet during the Last Interglacial as simulated by the CESM2-CISM2 coupled climate–ice sheet model","interactions":[],"lastModifiedDate":"2022-03-23T13:57:55.277892","indexId":"70230007","displayToPublicDate":"2021-12-01T08:45:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Retreat and regrowth of the Greenland Ice Sheet during the Last Interglacial as simulated by the CESM2-CISM2 coupled climate–ice sheet model","docAbstract":"During the Last Interglacial, approximately 129 to 116 ka (thousand years ago), the Arctic summer climate was warmer than the present, and the Greenland Ice Sheet retreated to a smaller extent than its current state. Previous model-derived and geological reconstruction estimates of the sea-level contribution of the Greenland Ice Sheet during the Last Interglacial vary widely. Here, we conduct a transient climate simulation from 127 to 119 ka using the Community Earth System Model (CESM2), which includes a dynamic ice sheet component (the Community Ice Sheet Model, CISM2) that is interactively coupled to the atmosphere, land, ocean, and sea ice components. Vegetation distribution is updated every 500 years based on biomes simulated using a monthly climatology to force the BIOME4 equilibrium vegetation model. Results show a substantial retreat of the Greenland Ice Sheet, reaching a minimum extent at 121.9 ka, equivalent to a 3.0 m rise in sea level relative to the present day, followed by gradual regrowth. 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unique dataset of in-situ spectra and images of Mars since landing in August 2012. More than 800,000 single shot LIBS (laser-induced breakdown spectroscopy) spectra measured on more than 2,500 individual targets were returned so far by ChemCam. Such a dataset is ideally suited for the application of statistical methods for the recognition of patterns that are difficult to observe by humans. In this work, we develop an approach relying on the feature extraction method non-negative matrix factorization (NMF) and the repetition of k-means clustering to classify ChemCam spectra. A strong consistency of the clustering results among the repetitions were found, which allowed us to identify six clusters representing the dominant compositions measured by ChemCam in Gale crater so far. By tracking clusters across the rover traverse from landing to sol 2756, we are able to provide a chemostratigraphic overview of Gale crater from the ChemCam perspective. Transitions between major geologic groups (such as the Bradbury and the Mt. Sharp groups) are identifiable demonstrating that they are compositionally distinct, consistent with previous work. Compositional differences between their members also appear in the results. Furthermore, a first approach in which a random forest classifier was trained and validated with the obtained cluster assignments, reveals promising results for predicting cluster memberships of new ChemCam LIBS data acquired after sol 2756.","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1029/2021EA001903","usgsCitation":"Rammelkamp, K., Gasnault, O., Forni, O., Bedford, C.C., Dehouck, E., Cousin, A., Lasue, J., David, G., Gabriel, T.S., Maurice, S., and Wiens, R.C., 2021, Clustering supported classification of ChemCam data from Gale crater, Mars: Earth and Space Science, v. 8, no. 12, e2021EA001903, 27 p., https://doi.org/10.1029/2021EA001903.","productDescription":"e2021EA001903, 27 p.","ipdsId":"IP-130563","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":450112,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021ea001903","text":"Publisher Index Page"},{"id":398202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Mars","volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Rammelkamp, Kristin","contributorId":289781,"corporation":false,"usgs":false,"family":"Rammelkamp","given":"Kristin","affiliations":[{"id":62247,"text":"Institut de Recherche en Astrophysique et Planetologie","active":true,"usgs":false}],"preferred":false,"id":839781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gasnault, Olivier","contributorId":181501,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":839782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forni, Olivier","contributorId":72690,"corporation":false,"usgs":false,"family":"Forni","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":839783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedford, Candice C.","contributorId":229499,"corporation":false,"usgs":false,"family":"Bedford","given":"Candice","email":"","middleInitial":"C.","affiliations":[{"id":12445,"text":"Lunar and Planetary Institute","active":true,"usgs":false}],"preferred":false,"id":839784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dehouck, Erwin","contributorId":270386,"corporation":false,"usgs":false,"family":"Dehouck","given":"Erwin","email":"","affiliations":[{"id":56160,"text":"Université de Lyon","active":true,"usgs":false}],"preferred":false,"id":839785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cousin, Agnes","contributorId":40139,"corporation":false,"usgs":false,"family":"Cousin","given":"Agnes","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":839786,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lasue, Jeremie","contributorId":181504,"corporation":false,"usgs":false,"family":"Lasue","given":"Jeremie","email":"","affiliations":[],"preferred":false,"id":839787,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"David, Gael","contributorId":289782,"corporation":false,"usgs":false,"family":"David","given":"Gael","email":"","affiliations":[{"id":62247,"text":"Institut de Recherche en Astrophysique et Planetologie","active":true,"usgs":false}],"preferred":false,"id":839788,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":839789,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maurice, Sylvestre","contributorId":82626,"corporation":false,"usgs":false,"family":"Maurice","given":"Sylvestre","email":"","affiliations":[],"preferred":false,"id":839790,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":839791,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70226808,"text":"70226808 - 2021 - Bar-tailed Godwits Limosa lapponica in Alaska: Revisiting population estimates from the staging grounds","interactions":[],"lastModifiedDate":"2021-12-14T13:24:55.071184","indexId":"70226808","displayToPublicDate":"2021-12-01T07:20:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Bar-tailed Godwits Limosa lapponica in Alaska: Revisiting population estimates from the staging grounds","docAbstract":"Bar-tailed Godwits Limosa lapponica baueri breed in Alaska and spend the nonbreeding season primarily in eastern Australia and New Zealand. Long-term declines spurred recent surveys at nonbreeding sites that yielded a revised population estimate of ~126,000 godwits. We conducted aerial surveys for Bar-tailed Godwits in 2018 and 2019 at pre-migratory staging sites in western Alaska. Counts from similar surveys in 1997 accorded with counts of baueri from the nonbreeding range. Instead of relying on observer estimates of flock sizes, we enumerated 97% of our survey totals using digital photography. Our survey results differed markedly between 2018 (39,751) and 2019 (100,926), differences that reflected a relatively late autumn survey period in 2018, when some godwits were likely to have left the area, compared to 2019. In contrast to the 1997 surveys, we found few Bar-tailed Godwits at estuaries on the Alaska Peninsula. However, we counted nearly 93,000 godwits (~92% of survey total) along ~60 km of coast at the Kuskokwim River Delta in 2019, a value constituting nearly three-quarters of the subspecies’ current population estimate. Our survey totals for 2019 were in agreement with contemporaneous counts at austral nonbreeding sites, demonstrating how aerial surveys from Alaska can provide useful insights into counts conducted elsewhere in the subspecies’ range. When combined with measures of reproductive output, estimates of seasonal survival, and dedicated studies of the movement and survival of juvenile godwits, future surveys from Alaska can further contribute to efforts to determine mechanisms of population changes in baueri Bar-tailed Godwits.
","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00251","usgsCitation":"Ruthrauff, D.R., Pohlen, Z., Wilson, H.M., and Johnson, J., 2021, Bar-tailed Godwits Limosa lapponica in Alaska: Revisiting population estimates from the staging grounds: Wader Study, v. 128, no. 3, p. 255-264, https://doi.org/10.18194/ws.00251.","productDescription":"10 p.","startPage":"255","endPage":"264","ipdsId":"IP-127284","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":436110,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZS5Y6N","text":"USGS data release","linkHelpText":"Aerial surveys of shorebirds at pre-migratory staging sites in western Alaska, 2018-2019"},{"id":392852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Francisco Bay Area, California, for the M 7.0 “HayWired” earthquake scenario along the Hayward fault. This work emerged from stakeholder engagement for the US Geological Survey releases of the HayWired earthquake scenario and the Coastal Storm Modeling System projects, in which local planners and engineers asked where, why, and by how much liquefaction hazards may change due to sea-level rise in the future. We assess the impacts of sea-level rise on liquefaction by computing changes in liquefaction potential index (LPI) for over 400 cone penetration test (CPT) soundings around the San Francisco Bay for groundwater table models developed for current and increased sea levels of up to 5 m. For the M 7.0 HayWired earthquake scenario, we find that while the majority of sites are insensitive to sea-level changes of less than 1 m, some sites are highly sensitive to small changes in water levels. We then repeat these analyses for a uniform shaking scenario to isolate the effects of sea-level rise and we find similar patterns of change. For both earthquake scenarios, modest changes in overall LPI are expected for increases in sea level, but individual sites may see significant increases in liquefaction likelihood and severity.
This Interagency Agreement supports the U.S. Department of Energy (DOE) and its research partners in understanding, predicting, and testing the recoverability and potential production characteristics of onshore natural gas hydrate in the Greater Prudhoe Bay area on the Alaska North Slope (ANS: Prudhoe Bay, Kuparuk River, and Milne Point areas) or other areas deemed suitable by DOE and USGS for potential long-term production testing of gas hydrate. Researchers will accomplish these tasks by evaluating the occurrence and resource potential of the known gas hydrate accumulations in the Eileen trend. Geologic, geochemical, and geophysical (2-D and 3-D seismic surveys) data from northern Alaska and other data sources, including wireline and mud log surveys of wells of opportunity, will be used to assess the occurrence and nature of the known gas hydrate accumulations. The project involves two primary areas of effort: the geologic and engineering assessment of the Eileen gas-hydrate accumulation and support of DOE and its industry partners in evaluating, planning, and preparing for drilling and testing gas hydrate research wells in northern Alaska.
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