Increasing air temperatures are changing the arctic tundra biome. Permafrost is thawing, snow duration is decreasing, shrub vegetation is proliferating, and boreal wildlife is encroaching. Here we present evidence of the recent range expansion of North American beaver (Castor canadensis) into the Arctic, and consider how this ecosystem engineer might reshape the landscape, biodiversity, and ecosystem processes. We developed a remote sensing approach that maps formation and disappearance of ponds associated with beaver activity. Since 1999, 56 new beaver pond complexes were identified, indicating that beavers are colonizing a predominantly tundra region (18,293 km2) of northwest Alaska. It is unclear how improved tundra stream habitat, population rebound following overtrapping for furs, or other factors are contributing to beaver range expansion. We discuss rates and likely routes of tundra beaver colonization, as well as effects on permafrost, stream ice regimes, and freshwater and riparian habitat. Beaver ponds and associated hydrologic changes are thawing permafrost. Pond formation increases winter water temperatures in the pond and downstream, likely creating new and more varied aquatic habitat, but specific biological implications are unknown. Beavers create dynamic wetlands and are agents of disturbance that may enhance ecosystem responses to warming in the Arctic.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14332","usgsCitation":"Tape, K.D., Jones, B.M., Arp, C.D., Nitze, I., and Grosse, G., 2018, Tundra be dammed: Beaver colonization of the Arctic: Global Change Biology, v. 24, no. 10, p. 4478-4488, https://doi.org/10.1111/gcb.14332.","productDescription":"11 p.","startPage":"4478","endPage":"4488","ipdsId":"IP-090358","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":468721,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://epic.awi.de/id/eprint/47723/1/Tape_etal_2018.pdf","text":"External Repository"},{"id":408648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lower Noatak River, Wulik, and Kivalina River watersheds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -166.63101775418127,\n 68.8694953372669\n ],\n [\n -166.63101775418127,\n 66.85108524558379\n ],\n [\n -160.3609756043501,\n 66.85108524558379\n ],\n [\n -160.3609756043501,\n 68.8694953372669\n ],\n [\n -166.63101775418127,\n 68.8694953372669\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"10","noUsgsAuthors":false,"publicationDate":"2018-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Tape, Ken D.","contributorId":297109,"corporation":false,"usgs":false,"family":"Tape","given":"Ken","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":855655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":855656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":855657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nitze, Ingemar","contributorId":298467,"corporation":false,"usgs":false,"family":"Nitze","given":"Ingemar","email":"","affiliations":[{"id":62783,"text":"Alfred Wegener Institute","active":true,"usgs":false}],"preferred":false,"id":855658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosse, Guido","contributorId":146182,"corporation":false,"usgs":false,"family":"Grosse","given":"Guido","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":855659,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197348,"text":"70197348 - 2018 - Partial migration of the nurse shark, Ginglymostoma cirratum (Bonnaterre), from the Dry Tortugas Islands","interactions":[],"lastModifiedDate":"2018-05-31T10:19:48","indexId":"70197348","displayToPublicDate":"2018-05-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Partial migration of the nurse shark, Ginglymostoma cirratum (Bonnaterre), from the Dry Tortugas Islands","title":"Partial migration of the nurse shark, Ginglymostoma cirratum (Bonnaterre), from the Dry Tortugas Islands","docAbstract":"Nurse sharks have not previously been known to migrate. Nurse sharks of the Dry Tortugas (DRTO) mating population have a highly predictable periodic residency cycle, returning to the Dry Tortugas Courtship and Mating Ground (DTCMG) annually (males) or bi- to triennially (females) during the June/July mating season. For 23 years we have followed the movements of 76 recaptured adults of a total of 115 tagged adults. Telemetry detections of 40 females tagged with acoustic transmitters show that most tagged and presumably post-partum females are continuously present in the DRTO in the fall, winter and early spring following the June mating season but these females depart in late March to early May. Detections reveal these females avoid the DTCMG completely during the next mating season, returning from late summer to fall. Telemetry records of nine of 17 adult males that co-habited with these females in the DTCMG depart DRTO waters every July. Both sexes may overwinter in the DRTO. Between 2011 and 2016 three males and five females with transmitters were detected to move up the west coast of Florida outside of the mating season as far north as the waters off Tampa Bay (335 km). Six others were only detected in the lower Florida Keys (292 km). Nine sharks returned to DRTO; one returned six times. Some overwintered and some resumed courtship in June, demonstrating both resident and migratory contingents within their population, partial migration and an ability to navigate with high spatial and temporal precision.","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0711-1","usgsCitation":"Pratt, H.L., Pratt, T.C., Morley, D., Lowerre-Barbieri, S.K., Collins, A., Carrier, J.C., Hart, K.M., and Whitney, N., 2018, Partial migration of the nurse shark, Ginglymostoma cirratum (Bonnaterre), from the Dry Tortugas Islands: Environmental Biology of Fishes, v. 101, no. 4, p. 515-530, https://doi.org/10.1007/s10641-017-0711-1.","productDescription":"16 p.","startPage":"515","endPage":"530","ipdsId":"IP-087141","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":354582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.111328125,\n 24.327076540018634\n ],\n [\n -79.98046875,\n 24.327076540018634\n ],\n [\n -79.98046875,\n 28.57487404744697\n ],\n [\n -84.111328125,\n 28.57487404744697\n ],\n [\n -84.111328125,\n 24.327076540018634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-16","publicationStatus":"PW","scienceBaseUri":"5b155d74e4b092d9651e1b0a","contributors":{"authors":[{"text":"Pratt, Harold L. Jr.","contributorId":25808,"corporation":false,"usgs":true,"family":"Pratt","given":"Harold","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":736794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pratt, Theo C.","contributorId":205294,"corporation":false,"usgs":false,"family":"Pratt","given":"Theo","email":"","middleInitial":"C.","affiliations":[{"id":37076,"text":"Elasmobranch Field Research Association","active":true,"usgs":false}],"preferred":false,"id":736795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morley, Danielle","contributorId":205295,"corporation":false,"usgs":false,"family":"Morley","given":"Danielle","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":736796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowerre-Barbieri, Susan K.","contributorId":189591,"corporation":false,"usgs":false,"family":"Lowerre-Barbieri","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":736797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Angela","contributorId":205296,"corporation":false,"usgs":false,"family":"Collins","given":"Angela","affiliations":[{"id":37077,"text":"Florida Fish and Wildlife Conservation Commission and University of Florida","active":true,"usgs":false}],"preferred":false,"id":736798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carrier, Jeffrey C.","contributorId":205297,"corporation":false,"usgs":false,"family":"Carrier","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":37078,"text":"Albion College","active":true,"usgs":false}],"preferred":false,"id":736799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":736793,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitney, N.M.","contributorId":120705,"corporation":false,"usgs":true,"family":"Whitney","given":"N.M.","email":"","affiliations":[],"preferred":false,"id":736800,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70197346,"text":"70197346 - 2018 - Influence of climate on alpine stream chemistry and water sources","interactions":[],"lastModifiedDate":"2018-07-03T11:14:16","indexId":"70197346","displayToPublicDate":"2018-05-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Influence of climate on alpine stream chemistry and water sources","docAbstract":"The resilience of alpine/subalpine watersheds may be viewed as the resistance of streamflow or stream chemistry to change under varying climatic conditions, which is governed by the relative size (volume) and transit time of surface and subsurface water sources. Here, we use end‐member mixing analysis in Andrews Creek, an alpine stream in Rocky Mountain National Park, Colorado, from water year 1994 to 2015, to explore how the partitioning of water sources and associated hydrologic resilience change in response to climate. Our results indicate that four water sources are significant contributors to Andrews Creek, including snow, rain, soil water, and talus groundwater. Seasonal patterns in source‐water contributions reflected the seasonal hydrologic cycle, which is driven by the accumulation and melting of seasonal snowpack. Flushing of soil water had a large effect on stream chemistry during spring snowmelt, despite making only a small contribution to streamflow volume. Snow had a large influence on stream chemistry as well, contributing large amounts of water with low concentrations of weathering products. Interannual patterns in end‐member contributions reflected responses to drought and wet periods. Moderate and significant correlations exist between annual end‐member contributions and regional‐scale climate indices (the Palmer Drought Severity Index, the Palmer Hydrologic Drought Index, and the Modified Palmer Drought Severity Index). From water year 1994 to 2015, the percent contribution from the talus‐groundwater end member to Andrews Creek increased an average of 0.5% per year (p < 0.0001), whereas the percent contributions from snow plus rain decreased by a similar amount (p = 0.001). Our results show how water and solute sources in alpine environments shift in response to climate variability and highlight the role of talus groundwater and soil water in providing hydrologic resilience to the system.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13124","usgsCitation":"Foks, S., Stets, E.G., Singha, K., and Clow, D.W., 2018, Influence of climate on alpine stream chemistry and water sources: Hydrological Processes, v. 32, no. 13, p. 1993-2008, https://doi.org/10.1002/hyp.13124.","productDescription":"16 p.","startPage":"1993","endPage":"2008","ipdsId":"IP-090691","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":468725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13124","text":"Publisher Index Page"},{"id":354581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","volume":"32","issue":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-29","publicationStatus":"PW","scienceBaseUri":"5b155d74e4b092d9651e1b0c","contributors":{"authors":[{"text":"Foks, Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":205290,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":736781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":736782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":736783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196632,"text":"fs20183026 - 2018 - Groundwater quality in the shallow aquifers of the Monterey Bay, Salinas Valley, and adjacent highland areas, California","interactions":[],"lastModifiedDate":"2026-01-22T16:55:26.454677","indexId":"fs20183026","displayToPublicDate":"2018-05-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3026","title":"Groundwater quality in the shallow aquifers of the Monterey Bay, Salinas Valley, and adjacent highland areas, California","docAbstract":"Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California created the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The shallow aquifers of the groundwater basins around Monterey Bay, the Salinas Valley, and the highlands adjacent to the Salinas Valley constitute one of the study units.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183026","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Burton, C.A., 2018, Groundwater quality in the shallow aquifers of the Monterey Bay, Salinas Valley, and adjacent highland areas, California (ver. 1.1, June 2018): U.S. Geological Survey Fact Sheet 2018–3026, 4 p., https://doi.org/10.3133/fs20183026.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-092656","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":354603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3026/coverthb.jpg"},{"id":354604,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3026/fs20183026_v1.1.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2018-3026 Version 1.1"},{"id":354756,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2018/3026/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Fact Sheet 2018-3026 Version History"}],"country":"United States","state":"California","otherGeospatial":"Monterey-Salinas Shallow Aquifer Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.904296875,\n 36.53170884914869\n ],\n [\n -121.761474609375,\n 36.527294814546245\n ],\n [\n -121.58569335937501,\n 36.49638952000399\n ],\n [\n -121.5142822265625,\n 36.40359962073253\n ],\n [\n -121.4813232421875,\n 36.363798554158635\n ],\n [\n -121.33300781249999,\n 36.33282808737917\n ],\n [\n -121.234130859375,\n 36.27085020723902\n ],\n [\n -121.17370605468749,\n 36.19995805932895\n ],\n [\n -121.08581542968751,\n 36.10237644873644\n ],\n [\n -121.01989746093749,\n 36.02688935430189\n ],\n [\n -120.94299316406249,\n 35.96911507577482\n ],\n [\n -120.88256835937499,\n 35.89795019335754\n ],\n [\n -120.80566406250001,\n 35.79999392988527\n ],\n [\n -120.89080810546875,\n 35.66622234103479\n ],\n [\n -120.8551025390625,\n 35.61488368245436\n ],\n [\n -120.6683349609375,\n 35.46961797120201\n ],\n [\n -120.56945800781249,\n 35.37113502280101\n ],\n [\n -120.465087890625,\n 35.37113502280101\n ],\n [\n -120.2838134765625,\n 35.37113502280101\n ],\n [\n -120.12451171875,\n 35.37561413174875\n ],\n [\n -120.0146484375,\n 35.44277092585766\n ],\n [\n -119.94323730468749,\n 35.46514408578589\n ],\n [\n -119.99267578124999,\n 35.53222622770337\n ],\n [\n -120.10253906249999,\n 35.59925232772949\n ],\n [\n -120.2838134765625,\n 35.755428369259626\n ],\n [\n -120.421142578125,\n 35.88905007936091\n ],\n [\n -120.50903320312501,\n 35.97356075349624\n ],\n [\n -120.673828125,\n 36.09349937380574\n ],\n [\n -120.80566406250001,\n 36.22211876039103\n ],\n [\n -120.94299316406249,\n 36.359374956015856\n ],\n [\n -121.06933593749999,\n 36.46988944681576\n ],\n [\n -121.55273437499999,\n 36.83127162140714\n ],\n [\n -121.61315917968749,\n 36.88840804313823\n ],\n [\n -121.72302246093749,\n 36.9806150652861\n ],\n [\n -121.84936523437499,\n 37.020098201368114\n ],\n [\n -121.9976806640625,\n 37.03325468997236\n ],\n [\n -122.06909179687501,\n 37.01132594307015\n ],\n [\n -122.1075439453125,\n 36.96306042436515\n ],\n [\n -122.0855712890625,\n 36.92793899776678\n ],\n [\n -121.9976806640625,\n 36.94989178681327\n ],\n [\n -121.92626953124999,\n 36.96306042436515\n ],\n [\n -121.86584472656251,\n 36.94989178681327\n ],\n [\n -121.8438720703125,\n 36.88401445049676\n ],\n [\n -121.8109130859375,\n 36.80928470205937\n ],\n [\n -121.8109130859375,\n 36.760891249565624\n ],\n [\n -121.83288574218749,\n 36.69044623523481\n ],\n [\n -121.8438720703125,\n 36.641977814705946\n ],\n [\n -121.8878173828125,\n 36.602299135790446\n ],\n [\n -121.9317626953125,\n 36.602299135790446\n ],\n [\n -121.915283203125,\n 36.56260003738545\n ],\n [\n -121.904296875,\n 36.53170884914869\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: June 2018; Version. 1.0: May 2018","publicComments":"Groundwater Ambient Monitoring and Assessment (GAMA) Program","contact":"Groundwater quality in the approximately 7,820-square-kilometer (km2) Monterey-Salinas Shallow Aquifer (MS-SA) study unit was investigated from October 2012 to May 2013 as part of the second phase of the Priority Basin Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The study unit is in the central coast region of California in the counties of Santa Cruz, Monterey, and San Luis Obispo. The GAMA Priority Basin Project is being conducted by the California State Water Resources Control Board in cooperation with the U.S. Geological Survey and the Lawrence Livermore National Laboratory.
The MS-SA study was designed to provide a statistically robust assessment of untreated-groundwater quality in the shallow aquifer systems. The assessment was based on water-quality samples collected by the U.S. Geological Survey from 100 groundwater sites and 70 household tap sites, along with ancillary data such as land use and well-construction information. The shallow aquifer systems were defined by the depth interval of wells associated with domestic supply. The MS-SA study unit consisted of four study areas—Santa Cruz (210 km2), Pajaro Valley (360 km2), Salinas Valley (2,000 km2), and Highlands (5,250 km2).
This study had two primary components: the status assessment and the understanding assessment. The first primary component of this study—the status assessment—assessed the quality of the groundwater resource indicated by data from samples analyzed for volatile organic compounds (VOCs), pesticides, and naturally present inorganic constituents, such as major ions and trace elements. The status assessment is intended to characterize the quality of groundwater resources in the shallow aquifer system of the MS-SA study unit, not the treated drinking water delivered to consumers by water purveyors. As opposed to the public wells, however, water from private wells, which often tap the shallow aquifer, is usually consumed without any treatment. The second component of this study—the understanding assessment—identified the natural and human factors that potentially affect groundwater quality by evaluating land-use characteristics, measures of location, geologic factors, groundwater age, and geochemical conditions of the shallow aquifer. An additional component of this study was a comparison of MS-SA water-quality results to those of the GAMA Monterey Bay and Salinas Valley Groundwater Basins study unit. This study unit covered much of the same areal extent as the MS-SA, but assessed the deeper, public drinking-water aquifer system.
Relative concentrations (sample concentration divided by the benchmark concentration) were used to evaluate concentrations of constituents in groundwater samples relative to water-quality benchmarks for those constituents that have Federal or California benchmarks, such as maximum contaminant levels. For organic and special-interest constituents, relative concentrations were classified as high, greater than 1.0; moderate, greater than 0.1 and less than or equal to 1.0; or low, less than or equal to 0.1. For inorganic constituents, relative concentrations were classified as high, greater than 1.0; moderate, greater than 0.5 and less than or equal to 1.0; or low, less than or equal to 0.5. A relative concentration greater than 1.0 indicates that the concentration was greater than a benchmark. Aquifer-scale proportions were used to quantify regional-scale groundwater quality. The aquifer-scale proportions are the areal percentages of the shallow aquifer system where relative concentrations for a given constituent or class of constituents were high, moderate, or low.
Inorganic constituents were measured at high and moderate relative concentrations more frequently than organic constituents. In the MS-SA study unit, inorganic constituents with benchmarks were detected at high relative concentrations in 51 percent of the study unit. The greatest proportions of high relative concentrations of trace elements and radioactive constituents were in the Highlands and Santa Cruz study areas, whereas high relative concentrations of nutrients were most often detected in the Salinas Valley and Pajaro Valley study areas and salinity indicators were most often detected in the Highlands and Salinas Valley study areas. The trace elements detected at high relative concentrations were arsenic, boron, iron, manganese, molybdenum, selenium, and strontium. The radioactive constituents detected at high relative concentrations were adjusted gross alpha radioactivity and uranium. The nutrient detected at high relative concentrations was nitrate plus nitrite. The salinity indicators detected at high relative concentrations were chloride, sulfate, and total dissolved solids.
Organic constituents (VOCs and pesticides) were not detected at high relative concentrations in any of the study areas. The fumigant 1,2-dichloropropane was detected at moderate relative concentrations. The VOC chloroform and the pesticide simazine were the only organic constituents detected in more than 10 percent of samples. The constituents of special interest NDMA (N-nitrosodimethylamine) and perchlorate were detected at high relative concentrations in the MS-SA study unit.
Selected constituents were evaluated with explanatory factors to identify potential sources or processes that could explain their presence and distribution. Trace elements and radioactive constituents came from natural sources and were not elevated by anthropogenic sources or processes, except for selenium and the radioactive constituent uranium. Arsenic, manganese, iron, selenium, and uranium concentrations were all influenced by oxidation-reduction conditions.
Unlike other trace elements and radioactive constituents, uranium and selenium can be affected by agricultural practices. Uranium and selenium can be released from aquifer sediments as a result of irrigation recharge water interacting with bicarbonate systems.
Nitrate can be strongly affected by anthropogenic sources. Nitrate concentrations were significantly higher in modern groundwater, indicating recent inputs of nitrate to the shallow aquifer system. Nitrate was positively correlated with agricultural land use, indicating that irrigation-return water could be leaching nitrogen fertilizer and naturally present nitrate to elevate nitrate concentrations in shallow groundwater.
The salinity indicators total dissolved solids, chloride, and sulfate all had natural sources in the MS-SA study unit, primarily marine sediments. Concentrations of the constituents were elevated as a result of evaporative concentration of irrigation water or precipitation. Sulfate concentrations were significantly correlated to agricultural land use, indicating that agricultural land-use practices are a contributing source of sulfate to groundwater.
The samples with most of the detections of VOCs were from sites in the Pajaro Valley and northern part of the Salinas Valley. Most of the samples with pesticide detections were from sites in the Salinas Valley study area. The herbicide simazine was positively correlated to the percentage of agricultural land use, and its concentrations were higher in modern groundwater than in pre-modern groundwater.
Perchlorate, similar to nitrate, has natural and anthropogenic sources. Correlations of perchlorate to dissolved oxygen, nitrate, and percentage of agricultural land use indicated that the irrigation-return water could be leaching naturally present perchlorate, as well as perchlorate from historical applications of Chilean nitrate fertilizer, to increase perchlorate concentrations in groundwater.
The quality of the water in the shallow aquifer system from this study was compared with the quality of water in the public drinking-water aquifer in a previous GAMA (MS-PA) study in the same area. The shallow system was more oxic and had more sites with modern groundwater than the public drinking-water aquifer, which was more anoxic and had sites with more pre-modern groundwater. Arsenic and selenium were found at high relative concentrations in a greater proportion of the shallow system. Manganese and iron were found at high relative concentrations in a greater proportion of the public drinking-water aquifer. Uranium was found at higher relative concentrations in a greater proportion of the shallow system. Concentrations of arsenic, iron, manganese, and molybdenum are not likely to change much as groundwater percolates from the shallow system to the public drinking-water aquifer because there are no anthropogenic sources affecting these constituents. Uranium and selenium concentrations in the public drinking-water aquifer could be affected by the higher concentrations in the shallow system because of irrigation-return water, however.
Nitrate and salinity indicators had concentrations that were much higher in the shallow system than the deeper public drinking-water aquifer. High concentrations of these constituents in the shallow system could lead to increased concentrations in the public drinking-water aquifer in parts of the study units because of land-use practices, such as irrigated agriculture.
Organic constituents were detected more frequently in the public drinking-water aquifer than in the shallow system, possibly because more of the sites sampled in the public drinking-water aquifer were in urban areas compared to the sites sampled for the shallow system or because sources of contamination have decreased as a result of changes in use at the land surface.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185057","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Burton, C.A., and Wright, M.T., 2018, Status and understanding of groundwater quality in the Monterey-Salinas Shallow Aquifer study unit, 2012–13: California GAMA Priority Basin Project (ver. 1.1, September 2018): U.S. Geological Survey Scientific Investigations Report 2018–5057, 116 p., https://doi.org/10.3133/sir20185057.","productDescription":"Report: x, 116 p.","numberOfPages":"132","onlineOnly":"Y","ipdsId":"IP-056428","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357554,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2018/5057/sir20185057_versionhist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2018-5057"},{"id":354600,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5057/coverthb.jpg"},{"id":354601,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5057/sir20185057_v1.1.pdf","text":"Report","size":"38.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5057"}],"country":"United States","state":"California","otherGeospatial":"Monterey-Salinas Shallow Aquifer study unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.904296875,\n 36.53170884914869\n ],\n [\n -121.761474609375,\n 36.527294814546245\n ],\n [\n -121.58569335937501,\n 36.49638952000399\n ],\n [\n -121.5142822265625,\n 36.40359962073253\n ],\n [\n -121.4813232421875,\n 36.363798554158635\n ],\n [\n -121.33300781249999,\n 36.33282808737917\n ],\n [\n -121.234130859375,\n 36.27085020723902\n ],\n [\n -121.17370605468749,\n 36.19995805932895\n ],\n [\n -121.08581542968751,\n 36.10237644873644\n ],\n [\n -121.01989746093749,\n 36.02688935430189\n ],\n [\n -120.94299316406249,\n 35.96911507577482\n ],\n [\n -120.88256835937499,\n 35.89795019335754\n ],\n [\n -120.80566406250001,\n 35.79999392988527\n ],\n [\n -120.89080810546875,\n 35.66622234103479\n ],\n [\n -120.8551025390625,\n 35.61488368245436\n ],\n [\n -120.6683349609375,\n 35.46961797120201\n ],\n [\n -120.56945800781249,\n 35.37113502280101\n ],\n [\n -120.465087890625,\n 35.37113502280101\n ],\n [\n -120.2838134765625,\n 35.37113502280101\n ],\n [\n -120.12451171875,\n 35.37561413174875\n ],\n [\n -120.0146484375,\n 35.44277092585766\n ],\n [\n -119.94323730468749,\n 35.46514408578589\n ],\n [\n -119.99267578124999,\n 35.53222622770337\n ],\n [\n -120.10253906249999,\n 35.59925232772949\n ],\n [\n -120.2838134765625,\n 35.755428369259626\n ],\n [\n -120.421142578125,\n 35.88905007936091\n ],\n [\n -120.50903320312501,\n 35.97356075349624\n ],\n [\n -120.673828125,\n 36.09349937380574\n ],\n [\n -120.80566406250001,\n 36.22211876039103\n ],\n [\n -120.94299316406249,\n 36.359374956015856\n ],\n [\n -121.06933593749999,\n 36.46988944681576\n ],\n [\n -121.55273437499999,\n 36.83127162140714\n ],\n [\n -121.61315917968749,\n 36.88840804313823\n ],\n [\n -121.72302246093749,\n 36.9806150652861\n ],\n [\n -121.84936523437499,\n 37.020098201368114\n ],\n [\n -121.9976806640625,\n 37.03325468997236\n ],\n [\n -122.06909179687501,\n 37.01132594307015\n ],\n [\n -122.1075439453125,\n 36.96306042436515\n ],\n [\n -122.0855712890625,\n 36.92793899776678\n ],\n [\n -121.9976806640625,\n 36.94989178681327\n ],\n [\n -121.92626953124999,\n 36.96306042436515\n ],\n [\n -121.86584472656251,\n 36.94989178681327\n ],\n [\n -121.8438720703125,\n 36.88401445049676\n ],\n [\n -121.8109130859375,\n 36.80928470205937\n ],\n [\n -121.8109130859375,\n 36.760891249565624\n ],\n [\n -121.83288574218749,\n 36.69044623523481\n ],\n [\n -121.8438720703125,\n 36.641977814705946\n ],\n [\n -121.8878173828125,\n 36.602299135790446\n ],\n [\n -121.9317626953125,\n 36.602299135790446\n ],\n [\n -121.915283203125,\n 36.56260003738545\n ],\n [\n -121.904296875,\n 36.53170884914869\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: September 2018; Version 1.0: May 2018","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Nuclear research activities at the U.S. Department of Energy (DOE) Idaho National Laboratory (INL) in eastern Idaho produced radiochemical and chemical wastes that were discharged to the subsurface, resulting in detectable concentrations of some waste constituents in the eastern Snake River Plain (ESRP) aquifer. These waste constituents may pose risks to the water quality of the aquifer. In order to understand these risks to water quality the U.S. Geological Survey, in cooperation with the DOE, conducted a study of groundwater geochemistry to improve the understanding of hydrologic and chemical processes in the ESRP aquifer at and near the INL and to understand how these processes affect waste constituents in the aquifer.
Geochemistry data were used to identify sources of recharge, mixing of water, and directions of groundwater flow in the ESRP aquifer at the INL. The geochemistry data were analyzed from 167 sample sites at and near the INL. The sites included 150 groundwater, 13 surface-water, and 4 geothermal-water sites. The data were collected between 1952 and 2012, although most data collected at the INL were collected from 1989 to 1996. Water samples were analyzed for all or most of the following: field parameters, dissolved gases, major ions, dissolved metals, isotope ratios, and environmental tracers.
Sources of recharge identified at the INL were regional groundwater, groundwater from the Little Lost River (LLR) and Birch Creek (BC) valleys, groundwater from the Lost River Range, geothermal water, and surface water from the Big Lost River (BLR), LLR, and BC. Recharge from the BLR that may have occurred during the last glacial epoch, or paleorecharge, may be present at several wells in the southwestern part of the INL. Mixing of water at the INL primarily included mixing of surface water with groundwater from the tributary valleys and mixing of geothermal water with regional groundwater. Additionally, a zone of mixing between tributary valley water and regional groundwater, trending southwesterly, extended from near the northeastern boundary of the INL to the southern boundary of the INL. Groundwater flow directions for regional groundwater were southwesterly, and flow directions for tributary groundwater were southeasterly upon entering the ESRP, but eventually began to flow southwesterly in a direction parallel with regional groundwater.
Several discrepancies were identified from comparison of sources of recharge determined from geochemistry data and backward particle tracking with a groundwater-flow model. Some discrepancies observed in the particle tracking results included representation of recharge from BC near the north INL boundary, groundwater from the BC valley not extending far enough south, regional groundwater that extends too far west in the southern part of the INL, and no representation of recharge from geothermal water in model layer 1 or recharge from the BLR in the southwestern part of the INL.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1837A","collaboration":"DOE/ID-22246Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
Dams and water diversions fragment habitat, entrain fish, and alter fish movement. Many Burbot Lota lota populations are declining, with dams and water diversions thought to be a major threat. We used multiple methods to identify Burbot movement patterns and assess entrainment into an irrigation system in the Wind River, Wyoming. We assessed seasonal movement of Burbot with a mark–recapture (PIT tagging) study, natal origins of entrained fish with otolith microchemistry, and historic movement with genotyping by sequencing. We found limited evidence of entrainment in irrigation waters across all approaches. The mark–recapture study indicated that out‐migration from potential source populations could be influenced by flow regime but was generally low. Otolith and genomic results suggested the presence of a self‐sustaining population within the irrigation network. We conclude that emigration from natural tributary populations is not the current source of the majority of Burbot found in irrigation waters. Instead, reservoir and irrigation canal construction has created novel habitat in which Burbot have established a population. Using a multi‐scale approach increased our inferential abilities and mechanistic understanding of movement patterns between natural and managed systems.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10062","usgsCitation":"Hooley-Underwood, Z., Mandeville, E.G., Gerrity, P.C., Deromedi, J.W., Johnson, K., and Walters, A.W., 2018, Combining genetic, isotopic, and field data to better describe the influence of dams and diversions on Burbot Movement in the Wind River Drainage, Wyoming: Transactions of the American Fisheries Society, v. 147, no. 3, p. 606-620, https://doi.org/10.1002/tafs.10062.","productDescription":"15 p.","startPage":"606","endPage":"620","ipdsId":"IP-084464","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Wind River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.632568359375,\n 42.19596877629178\n ],\n [\n -108.21533203125,\n 42.19596877629178\n ],\n [\n -108.21533203125,\n 43.89789239125797\n ],\n [\n -109.632568359375,\n 43.89789239125797\n ],\n [\n -109.632568359375,\n 42.19596877629178\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-22","publicationStatus":"PW","scienceBaseUri":"5b155d75e4b092d9651e1b12","contributors":{"authors":[{"text":"Hooley-Underwood, Zachary","contributorId":205292,"corporation":false,"usgs":false,"family":"Hooley-Underwood","given":"Zachary","affiliations":[],"preferred":false,"id":736787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mandeville, Elizabeth G.","contributorId":166947,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":736788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerrity, Paul C.","contributorId":104198,"corporation":false,"usgs":true,"family":"Gerrity","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":736789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deromedi, J. W.","contributorId":200247,"corporation":false,"usgs":false,"family":"Deromedi","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":736790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Kevin","contributorId":181825,"corporation":false,"usgs":false,"family":"Johnson","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":736791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":736744,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197337,"text":"70197337 - 2018 - Synthesizing models useful for ecohydrology and ecohydraulic approaches: An emphasis on integrating models to address complex research questions","interactions":[],"lastModifiedDate":"2018-10-12T16:08:22","indexId":"70197337","displayToPublicDate":"2018-05-30T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Synthesizing models useful for ecohydrology and ecohydraulic approaches: An emphasis on integrating models to address complex research questions","docAbstract":"Ecohydrology combines empiricism, data analytics, and the integration of models to characterize linkages between ecological and hydrological processes. A challenge for practitioners is determining which models best generalizes heterogeneity in hydrological behaviour, including water fluxes across spatial and temporal scales, integrating environmental and socio‐economic activities to determine best watershed management practices and data requirements. We conducted a literature review and synthesis of hydrologic, hydraulic, water quality, and ecological models designed for solving interdisciplinary questions. We reviewed 1,275 papers and identified 178 models that have the capacity to answer an array of research questions about ecohydrology or ecohydraulics. Of these models, 43 were commonly applied due to their versatility, accessibility, user‐friendliness, and excellent user‐support. Forty‐one of 43 reviewed models were linked to at least 1 other model especially: Water Quality Analysis Simulation Program (linked to 21 other models), Soil and Water Assessment Tool (19), and Hydrologic Engineering Center's River Analysis System (15). However, model integration was still relatively infrequent. There was substantial variation in model applications, possibly an artefact of the regional focus of research questions, simplicity of use, quality of user‐support efforts, or a limited understanding of model applicability. Simply increasing the interoperability of model platforms, transformation of models to user‐friendly forms, increasing user‐support, defining the reliability and risk associated with model results, and increasing awareness of model applicability may promote increased use of models across subdisciplines. Nonetheless, the current availability of models allows an array of interdisciplinary questions to be addressed, and model choice relates to several factors including research objective, model complexity, ability to link to other models, and interface choice.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.1966","usgsCitation":"Brewer, S.K., Worthington, T., Mollenhauer, R., Stewart, D., McManamay, R., Guertault, L., and Moore, D., 2018, Synthesizing models useful for ecohydrology and ecohydraulic approaches: An emphasis on integrating models to address complex research questions: Ecohydrology, v. 11, no. 7, p. 1-26, https://doi.org/10.1002/eco.1966.","productDescription":"e1966; 26 p.","startPage":"1","endPage":"26","ipdsId":"IP-083229","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468724,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1435332","text":"External Repository"},{"id":354585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5b155d75e4b092d9651e1b16","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worthington, Thomas","contributorId":205274,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":736737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mollenhauer, Robert","contributorId":205275,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":736738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, David","contributorId":205276,"corporation":false,"usgs":false,"family":"Stewart","given":"David","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":736739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McManamay, Ryan","contributorId":205277,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":736740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guertault, Lucie","contributorId":205278,"corporation":false,"usgs":false,"family":"Guertault","given":"Lucie","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":736741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Desiree","contributorId":205279,"corporation":false,"usgs":false,"family":"Moore","given":"Desiree","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":736742,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70198846,"text":"70198846 - 2018 - How mangrove and salt marsh seedlings respond to CO2 and drought","interactions":[],"lastModifiedDate":"2020-12-16T15:42:23.314337","indexId":"70198846","displayToPublicDate":"2018-05-29T11:36:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7186,"text":"Science Trends","active":true,"publicationSubtype":{"id":10}},"title":"How mangrove and salt marsh seedlings respond to CO2 and drought","docAbstract":"The western slopes of Hawaii's Mauna Kea volcano are mantled by fine-grained soils, the record of volcanic airfall and eolian deposition. Where exposed, strong winds transport this sediment across West Hawaii, affecting tourism and local communities with decreased air and water quality. Operations on US Army's Ke'amuku Maneuver Area (KMA) have the potential to increase dust flux from these deposits. The USGS established 18 ground monitoring sites and sampling locations surrounding KMA. For over 3 years, each station measured vertical and horizontal dust flux, while co-located anemometers measured wind speed and direction. We used these datasets to develop a parsimonious regional model for dust supply and transport to assess whether KMA is a net dust sink or source.
We found that dust transport is most highly correlated with threshold wind speeds of 8 m/s. We used this value as the regional average threshold wind speed for dust entrainment. Using a model that partitions measured horizontal dust flux into inward- and outward-directed components, we estimate that KMA is currently a net dust sink. Geochemical analysis of dust samples illustrates that local organics and carbonate make up 64% of dust mass, the remainder being volcanic silt and fine sand. Measured vertical dust deposition rates of 0.006 mm/yr are similar to 0.004 mm/yr of deposition predicted from taking the divergence of dust across KMA's boundary. These rates are low compared with pre-historic rates of ~0.2–0.3 mm/yr, from radiocarbon dating of buried soils.
KMA's soils record persistent deposition over millennia, at rates that imply episodic dust storms. Such events created a soil-mantled landscape in the middle of a largely Pleistocene rocky landscape. A substantial portion of fine-grained soils in other leeward Hawaiian Island landscapes may have formed from similar eolian deposition, and not direct weathering of parent rock. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4433","usgsCitation":"Douglas, M.M., Stock, J.D., Bishaw, K., Cerovski-Darriau, C., and Bedford, D., 2018, Dust on a Hawaiian volcano: A regional model using field measurements to estimate transport and deposition: Earth Surface Processes and Landforms, v. 43, no. 13, p. 2794-2807, https://doi.org/10.1002/esp.4433.","productDescription":"14 p.","startPage":"2794","endPage":"2807","ipdsId":"IP-089070","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.43611220977434,\n 20.37037201678426\n ],\n [\n -156.43611220977434,\n 18.704375414661897\n ],\n [\n -154.52622863370635,\n 18.704375414661897\n ],\n [\n -154.52622863370635,\n 20.37037201678426\n ],\n [\n -156.43611220977434,\n 20.37037201678426\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"13","noUsgsAuthors":false,"publicationDate":"2018-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas, Madison M; 0000-0002-0762-4719","orcid":"https://orcid.org/0000-0002-0762-4719","contributorId":361469,"corporation":false,"usgs":false,"family":"Douglas","given":"Madison","middleInitial":"M;","affiliations":[{"id":86294,"text":"Caltech/USGS","active":true,"usgs":false}],"preferred":false,"id":948864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishaw, Kai'ena; II","contributorId":361470,"corporation":false,"usgs":false,"family":"Bishaw","given":"Kai'ena;","suffix":"II","affiliations":[{"id":86297,"text":"Hawaii Cooperative Studies Unit, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":948866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":948867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bedford, David","contributorId":361471,"corporation":false,"usgs":true,"family":"Bedford","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948868,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197138,"text":"fs20183031 - 2018 - Klamath River Basin water-quality data","interactions":[],"lastModifiedDate":"2018-05-30T13:03:14","indexId":"fs20183031","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3031","title":"Klamath River Basin water-quality data","docAbstract":"The Klamath River Basin stretches from the mountains and inland basins of south-central Oregon and northern California to the Pacific Ocean, spanning multiple climatic regions and encompassing a variety of ecosystems. Water quantity and water quality are important topics in the basin, because water is a critical resource for farming and municipal use, power generation, and for the support of wildlife, aquatic ecosystems, and endangered species. Upper Klamath Lake is the largest freshwater lake in Oregon (112 square miles) and is known for its seasonal algal blooms. The Klamath River has dams for hydropower and the upper basin requires irrigation water to support agriculture and grazing. Multiple species of endangered fish inhabit the rivers and lakes, and the marshes are key stops on the Pacific flyway for migrating birds. For these and other reasons, the water resources in this basin have been studied and monitored to support their management distribution.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183031","usgsCitation":"Smith, C.D., Rounds, S.A., and Orzol, L.L., 2018, Klamath River Basin water-quality data: U.S. Geological Survey Fact Sheet 2018-3031, 4 p., https://doi.org/10.3133/fs20183031.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-096068","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":354491,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3031/fs20183031.pdf","text":"Report","size":"621 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3031"},{"id":354490,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3031/coverthb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River Basin","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
The U.S. Geological Survey, in cooperation with the lower Yakima River Basin Groundwater Management Area (GWMA) group, conducted an intensive groundwater sampling collection effort of collecting nitrate concentration data in drinking water to provide a baseline for future nitrate assessments within the GWMA. About every 6 weeks from April through December 2017, a total of 1,059 samples were collected from 156 wells and 24 surface-water drains. The domestic wells were selected based on known location, completion depth, ability to collect a sample prior to treatment on filtration, and distribution across the GWMA. The drains were pre-selected by the GWMA group, and further assessed based on ability to access sites and obtain a representative sample.
More than 20 percent of samples from the domestic wells and 12.8 percent of drain samples had nitrate concentrations that exceeded the maximum contaminant level (MCL) of 10 milligrams per liter established by the U.S. Environmental Protection Agency. At least one nitrate concentration above the MCL was detected in 26 percent of wells and 33 percent of drains sampled. Nitrate was not detected in 13 percent of all samples collected.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1084","collaboration":"Prepared in cooperation with Yakima County, Washington, for the Lower Yakima River Basin Groundwater Management Area","usgsCitation":"Huffman, R.L., 2018, Concentrations of nitrate in drinking water in the lower Yakima River Basin, Groundwater Management Area, Yakima County, Washington, 2017: U.S. Geological Survey Data Series 1084, 18 p., https://doi.org/10.3133/ds1084.","productDescription":"v, 18 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-095600","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":354540,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1084/ds1084.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1084"},{"id":354539,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1084/coverthb.jpg"}],"country":"United States","state":"Washington","county":"Yakima County","otherGeospatial":"Lower Yakima River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.5,\n 46.1667\n ],\n [\n -119.8333,\n 46.1667\n ],\n [\n -119.8333,\n 46.56452573114373\n ],\n [\n -120.5,\n 46.56452573114373\n ],\n [\n -120.5,\n 46.1667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
Best management practices are being implemented throughout the Lower Mississippi River Alluvial Valley with the aim of alleviating pressures placed on downstream aquatic systems by sediment and nutrient losses from agricultural land; however, research evaluating the performance of tailwater recovery (TWR) systems, an increasingly important practice, is limited. This study evaluated the ability of TWR systems to retain sediment and nutrients draining from agricultural landscapes. Composite flow-based samples were collected during flow events (precipitation or irrigation) over a two-year period in six TWR systems. Performance was evaluated by comparing concentrations and loads in water entering TWR systems (i.e., runoff or influent) from agricultural fields to water overflow exiting TWR systems (effluent). Tailwater recovery systems did not reduce concentrations of solids and nutrients, but did reduce loads of solids, phosphorus (P), and nitrogen (N) by 43%, 32%, and 44%, respectively. Annual mean load reductions were 1,142 kg solids, 0.7 kg of P, and 3.8 kg of N. Performance of TWR systems was influenced by effluent volume, system fullness, time since the previous event, and capacity of the TWR system. Mechanistically, TWR systems retain runoff on the agricultural landscape, thereby reducing the amount of sediment and nutrients entering downstream waterbodies. System performance can be improved through manipulation of influential parameters.
","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.73.3.284","usgsCitation":"Omer, A., Miranda, L.E., Moore, M.T., Krutz, L.J., Prince Czarnecki, J.M., Kroger, R., Baker, B.H., Hogue, J., and Allen, P.J., 2018, Reduction of solids and nutrient loss from agricultural land by tailwater recovery systems: Journal of Soil and Water Conservation, v. 73, no. 3, p. 284-297, https://doi.org/10.2489/jswc.73.3.284.","productDescription":"14 p.","startPage":"284","endPage":"297","ipdsId":"IP-082314","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-03","publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b20","contributors":{"authors":[{"text":"Omer, A.R.","contributorId":200190,"corporation":false,"usgs":false,"family":"Omer","given":"A.R.","email":"","affiliations":[{"id":35483,"text":"Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":736652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, M. T.","contributorId":205247,"corporation":false,"usgs":false,"family":"Moore","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":736653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krutz, L. J.","contributorId":169421,"corporation":false,"usgs":false,"family":"Krutz","given":"L.","email":"","middleInitial":"J.","affiliations":[{"id":25507,"text":"USDA, Stoneville, MS","active":true,"usgs":false}],"preferred":false,"id":736654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prince Czarnecki, J. M.","contributorId":205248,"corporation":false,"usgs":false,"family":"Prince Czarnecki","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":736655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroger, R.","contributorId":205249,"corporation":false,"usgs":false,"family":"Kroger","given":"R.","email":"","affiliations":[],"preferred":false,"id":736656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, B. H.","contributorId":205250,"corporation":false,"usgs":false,"family":"Baker","given":"B.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":736657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hogue, J.","contributorId":205251,"corporation":false,"usgs":false,"family":"Hogue","given":"J.","email":"","affiliations":[],"preferred":false,"id":736658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allen, P. J.","contributorId":205252,"corporation":false,"usgs":false,"family":"Allen","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":736659,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70197296,"text":"70197296 - 2018 - Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie","interactions":[],"lastModifiedDate":"2018-07-03T11:15:54","indexId":"70197296","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie","docAbstract":"Submerged aquatic vegetation (SAV) in clearwater systems simultaneously provides habitat for invertebrate prey and acts as refugia for small fishes. Many fishes in Lake Erie rely on shallow, heavily vegetated bays as spawning grounds and the loss or absence of which is known to reduce recruitment in other systems. The Maumee River and Maumee Bay, which once had abundant macrophyte beds, have experienced a decline of SAV and an increase in suspended solids (turbidity) over the last century due to numerous causes. To compare fish communities in open‐water (turbid) and in SAV (clearer water) habitats in this region, which is designated by the U.S. Environmental Protection Agency as an Area of Concern, and to indicate community changes that could occur with expansion of SAV habitat, we sampled a 300‐ha sector of northern Maumee Bay that contained both habitats. Using towed neuston nets through patches of each habitat, we determined that areas of SAV contained more species and a different species complex (based on the Jaccard index and the wetland fish index), than did the open‐water habitat (averaging 8.6 versus 5 species per net trawl). The SAV habitat was dominated by centrarchids, namely Largemouth Bass Micropterus salmoides, Bluegill Lepomis macrochirus, and Black Crappie Pomoxis nigromaculatus. Open‐water habitat was dominated by Spottail Shiner Notropis hudsonius, Gizzard Shad Dorosoma cepedianum, and White Perch Morone americana, an invasive species. These results indicate that restoration efforts aimed at decreasing turbidity and increasing the distribution of SAV could cause substantive shifts in the fish community and address important metrics for assessing the beneficial use impairments in this Area of Concern.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10061","usgsCitation":"Miller, J., Kocovsky, P., Wiegmann, D., and Miner, J.G., 2018, Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie: North American Journal of Fisheries Management, v. 38, no. 3, p. 623-629, https://doi.org/10.1002/nafm.10061.","productDescription":"7 p.","startPage":"623","endPage":"629","ipdsId":"IP-078053","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":354518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Stats","state":"Michigan, Ohio","otherGeospatial":"Maumee Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.48227500915527,\n 41.73039410466992\n ],\n [\n -83.42562675476074,\n 41.73039410466992\n ],\n [\n -83.42562675476074,\n 41.76657451658189\n ],\n [\n -83.48227500915527,\n 41.76657451658189\n ],\n [\n -83.48227500915527,\n 41.73039410466992\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b26","contributors":{"authors":[{"text":"Miller, Jacob","contributorId":205222,"corporation":false,"usgs":false,"family":"Miller","given":"Jacob","email":"","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":736568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiegmann, Daniel","contributorId":205224,"corporation":false,"usgs":false,"family":"Wiegmann","given":"Daniel","email":"","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miner, Jeffery G.","contributorId":150965,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205809,"text":"70205809 - 2018 - Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland","interactions":[],"lastModifiedDate":"2019-10-07T10:06:30","indexId":"70205809","displayToPublicDate":"2018-05-26T09:56:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland","docAbstract":"Coastal wetlands around the Laurentian Great Lakes in North America have the potential to intercept surface water coming off of the landscape and reduce the amount of nutrients and sediment entering the lakes. However, extensive coastal wetland areas have been isolated behind dikes and thus have limited interaction with nutrient-rich waters that contribute to harmful algal blooms and other water-quality issues. In this study, we developed a method to use high-frequency measurements of discharge and turbidity to estimate sediment and total phosphorus retention in a hydrologically reconnected coastal wetland. We found sediment and total phosphorus retention to be episodic and highly related to fluctuations in water level. Low water levels in Lake Erie in late 2012 resulted in low retention in the wetland, but sediment and total phosphorus retention increased as water levels rose in the first half of 2013. Overall, the reconnected wetland was a sink for both total phosphorus and suspended sediment and locally reduced phosphorus loading rates to Lake Erie. Additional wetland reconnection projects have the potential to further reduce phosphorus and sediment loading rates, which could improve local water quality and ecosystem health.","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1044-3","usgsCitation":"Baustian, J.J., Kowalski, K., and Czayka, A., 2018, Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland: Wetlands, v. 5, no. 38, p. 1059-1065, https://doi.org/10.1007/s13157-018-1044-3.","productDescription":"7 p.","startPage":"1059","endPage":"1065","ipdsId":"IP-085004","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":368031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Crane Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.25233459472656,\n 41.605431236301456\n ],\n [\n -83.17105293273926,\n 41.605431236301456\n ],\n [\n -83.17105293273926,\n 41.646107652521614\n ],\n [\n -83.25233459472656,\n 41.646107652521614\n ],\n [\n -83.25233459472656,\n 41.605431236301456\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"38","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Baustian, Joseph J.","contributorId":195568,"corporation":false,"usgs":false,"family":"Baustian","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":34312,"text":"The Nature Conservancy, Baton Rouge, LA, USA","active":true,"usgs":false}],"preferred":false,"id":772442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":772441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czayka, Alex","contributorId":191324,"corporation":false,"usgs":false,"family":"Czayka","given":"Alex","email":"","affiliations":[],"preferred":false,"id":772443,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196085,"text":"fs20183019 - 2018 - Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017","interactions":[],"lastModifiedDate":"2018-07-13T13:12:10","indexId":"fs20183019","displayToPublicDate":"2018-05-25T16:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3019","title":"Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable conventional resources of 100 million barrels of oil and 16.5 trillion cubic feet of gas in the downdip Paleogene formations in onshore lands and State waters of the U.S. Gulf Coast region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183019","usgsCitation":"Buursink, M.L., Doolan, C.A., Enomoto, C.B., Craddock, W.H., Coleman, J.L., Jr., Brownfield, M.E., Gaswirth, S.B., Klett, T.R., Le, P.A., Leathers-Miller, H.M., Marra, K.R., Mercier, T.J., Pearson, O.N., Pitman, J.K., Schenk, C.J., Tennyson, M.E., Whidden, K.J., and Woodall, C.A., 2018, Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017: U.S. Geological Survey Fact Sheet 2018–3019, 4 p., https://doi.org/10.3133/fs20183019.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-092823","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":354456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3019/coverthb2.jpg"},{"id":354457,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3019/fs20183019.pdf","text":"Report","size":"4.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3019"}],"country":"United States","state":"Louisiana, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.5,\n 25.8\n ],\n [\n -88.5,\n 25.8\n ],\n [\n -88.5,\n 30.939924331023445\n ],\n [\n -99.5,\n 30.939924331023445\n ],\n [\n -99.5,\n 25.8\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Energy Resources Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS-954
Reston, VA 20192
The ability to individually mark juvenile fishes has important implications for fisheries management. For example, marking age-0 Walleye Sander vitreus could provide important information not provided by batch-marking, including individual variation in growth and estimates of length-dependent survival and recruitment. However, the relatively small size of age-0 Walleye in north temperate lakes has precluded use of many common tagging methods that provide information on individual fish (e.g., various anchor tags, jaw tags). Consequently, we evaluated short-term mortality and retention associated with using 12-mm passive integrated transponders (PITs) to mark age-0 Walleye (TL range = 93-216 mm; mean TL = 157 mm) by conducting 48-h within-lake net-pen trials and 7-d hatchery trials during September-October of 2015 and 2016. Age-0 Walleye were not anesthetized prior to PIT tagging. Our assessment allowed us to determine whether post-tagging mortality and PIT retention varied in relation to implant location (i.e., body cavity or pelvic girdle), fish length, and water temperature. During 2015, mean 48-h mortality rate of age-0 Walleye tagged with PITs in the body cavity was low (7%; SE = 3%) and did not differ from that of fish marked with only a fin clip (4%; SE = 2%) and reference fish (2%; SE = 1%). During 2016, mean mortality rates ranged from 2% (reference fish) to 6% (PIT inserted into pelvic girdle) and did not differ among treatments. During both years, mortality rates for nearly all treatments were highest (> 13%) when water temperatures were {greater than or equal to} 20°C, but decreased below 5% when water temperatures were {less than or equal to} 17°C. During 2016, dead age-0 Walleye in both PIT treatments were smaller than fish that survived. During the 7-d hatchery trials, mean mortality rates were higher for age-0 Walleye with PITs inserted into the body cavity (13%; SE = 4%) than fish that received a PIT in the pelvic girdle (4%; SE = 1%) and reference fish (4%; SE = 2%). Retention of PITs was high (> 96%) during all net-pen and hatchery trials. Collectively, our results suggest that PITs can be used to tag age-0 Walleye without anesthesia with the expectations of high initial retention and low mortality. Mortality rates may be minimized by implanting PITs into the pelvic girdle when water temperatures are {less than or equal to} 17°C.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/102017-JFWM-081","usgsCitation":"Dembkowski, D.J., Isermann, D.A., and Sass, G.G., 2018, Short-term mortality and retention associated with tagging Age-0 walleye using passive integrated transponders (PITs) in the absence of anesthesia: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 393-401, https://doi.org/10.3996/102017-JFWM-081.","productDescription":"9 p.","startPage":"393","endPage":"401","ipdsId":"IP-090000","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102017-jfwm-081","text":"Publisher Index Page"},{"id":356628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fd3","contributors":{"authors":[{"text":"Dembkowski, Daniel J.","contributorId":207134,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":742849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":742848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":207135,"corporation":false,"usgs":false,"family":"Sass","given":"Greg","email":"","middleInitial":"G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":742850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197258,"text":"70197258 - 2018 - Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction","interactions":[],"lastModifiedDate":"2018-05-25T10:10:36","indexId":"70197258","displayToPublicDate":"2018-05-25T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction","docAbstract":"Study Region
Cottonwood Lake area wetlands, North Dakota, U.S.A.
Study Focus
Fluctuations in pond permanence, size, and salinity are key features of prairie-pothole wetlands that provide a variety of wetland habitats for waterfowl in the northern prairie of North America. Observation of water-level and salinity fluctuations in a semi-permanent wetland pond over a 20-year period, included periods when the wetland occasionally was dry, as well as wetter years when the pond depth and surface extent doubled while volume increased 10 times.
New hydrological insights for the study region
Compared to all other measured budget components, groundwater flow into the pond often contributed the least water (8–28 percent) but the largest amount (>90 percent) of specific solutes to the water and solute budgets of the pond. In drier years flow from the pond into groundwater represented > 10 percent of water loss, and in 1992 was approximately equal to evapotranspiration loss. Also during the drier years, export of calcium, magnesium, sodium, potassium, chloride, and sulfate by flow from the pond to groundwater was substantial compared with previous or subsequent years, a process that would have been undetected if groundwater flux had been calculated as a net value. Independent quantification of water and solute gains and losses were essential to understand controls on water-level and salinity fluctuations in the pond in response to variable climate conditions.
The U.S. Geological Survey (USGS), in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities, analyzed previously collected invertebrate data to determine the comparability among four sampling methods and two versions (2010 and 2017) of the Colorado Benthic Macroinvertebrate Multimetric Index (MMI). For this study, annual macroinvertebrate samples were collected concurrently (in space and time) at 15 USGS surface-water gaging stations in the Fountain Creek Basin from 2010 to 2012 using four sampling methods. The USGS monitoring project in the basin uses two of the methods and the Colorado Department of Public Health and Environment recommends the other two. These methods belong to two distinct sample types, one that targets single habitats and one that targets multiple habitats. The study results indicate that there are significant differences in MMI values obtained from the single-habitat and multihabitat sample types but methods from each program within each sample type produced comparable values. This study also determined that MMI values calculated by different versions of the Colorado Benthic Macroinvertebrate MMI are indistinguishable. This indicates that the Colorado Department of Public Health and Environment methods are comparable with the USGS monitoring project methods for single-habitat and multihabitat sample types. This report discusses the direct application of the study results to inform the revision of the existing USGS monitoring project in the Fountain Creek Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185061","collaboration":"Prepared in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities","usgsCitation":"Bruce, J.F., Roberts, J.J., and Zuellig, R.E., 2018, Comparability among four invertebrate sampling methods and two multimetric indexes, Fountain Creek Basin, Colorado, 2010–2012: U.S. Geological Survey Scientific Investigations\nReport 2018–5061, 11 p., https://doi.org/10.3133/sir20185061.","productDescription":"Report: vi, 11 p.; Data release","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-094808","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":354395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5061/sir20185061.pdf","text":"Report","size":"908 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5061"},{"id":354396,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VQ320K","text":"USGS data release","description":"USGS data release","linkHelpText":"Multimetric Index macroinvertebrate values from the Fountain Creek Basin, Colorado 2005 to 2016"},{"id":354394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5061/coverthb.jpg"}],"country":"United States","state":"Colorado","city":"Colorado Springs, Pueblo","otherGeospatial":"Fountain Creek Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.35888671875,\n 38.1151107557172\n ],\n [\n -104.05426025390625,\n 38.1151107557172\n ],\n [\n -104.05426025390625,\n 39.16414104768742\n ],\n [\n -105.35888671875,\n 39.16414104768742\n ],\n [\n -105.35888671875,\n 38.1151107557172\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225
To protect the aquatic living resources of Chesapeake Bay, the Chesapeake Bay Program partnership has developed guidance for state water quality standards, which include ambient water quality criteria to protect designated uses (DUs), and associated assessment procedures for dissolved oxygen (DO), water clarity/underwater bay grasses, and chlorophyll-a. For measuring progress toward meeting the respective states' water quality standards, a multimetric attainment indicator approach was developed to estimate combined standards attainment. We applied this approach to three decades of monitoring data of DO, water clarity/underwater bay grasses, and chlorophyll-a data on annually updated moving 3-year periods to track the progress in all 92 management segments of tidal waters in Chesapeake Bay. In 2014–2016, 40% of tidal water segment-DU-criterion combinations in the Bay (n = 291) are estimated to meet thresholds for attainment of their water quality criteria. This index score marks the best 3-year status in the entire record. Since 1985–1987, the indicator has followed a nonlinear trajectory, consistent with impacts from extreme weather events and subsequent recoveries. Over the period of record (1985–2016), the indicator exhibited a positive and statistically significant trend (p < 0.05), indicating that the Bay has been recovering since 1985. Patterns of attainment of individual DUs are variable, but improvements in open water DO, deep channel DO, and water clarity/submerged aquatic vegetation have combined to drive the improvement in the Baywide indicator in 2014–2016 relative to its long-term median. Finally, the improvement in estimated Baywide attainment was statistically linked to the decline of total nitrogen, indicating responsiveness of attainment status to the reduction of nutrient load through various management actions since at least the 1980s.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.05.025","usgsCitation":"Zhang, Q., Murphy, R.R., Tian, R., Forsyth, M.K., Trentacoste, E.M., Keisman, J.L., and Tango, P., 2018, Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data: Science of the Total Environment, v. 637-638, p. 1617-1625, https://doi.org/10.1016/j.scitotenv.2018.05.025.","productDescription":"9 p.","startPage":"1617","endPage":"1625","ipdsId":"IP-097377","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":468731,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6688177","text":"External Repository"},{"id":395536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Science","active":true,"usgs":false}],"preferred":false,"id":833367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trentacoste, Emily M. 0000-0003-2870-861X","orcid":"https://orcid.org/0000-0003-2870-861X","contributorId":218532,"corporation":false,"usgs":false,"family":"Trentacoste","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":833368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keisman, Jennifer L. D. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":210994,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L. D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tango, Peter J. 0000-0001-6669-6969","orcid":"https://orcid.org/0000-0001-6669-6969","contributorId":274834,"corporation":false,"usgs":true,"family":"Tango","given":"Peter J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833370,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197256,"text":"70197256 - 2018 - Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA","interactions":[],"lastModifiedDate":"2018-05-24T11:34:17","indexId":"70197256","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA","docAbstract":"The concept of “reciprocity” between humans and other biota arises from the creation belief of the Confederated Tribes of the Umatilla Indian Reservation (CTUIR). The concept acknowledges a moral and practical obligation for humans and biota to care for and sustain one another, and arises from human gratitude and reverence for the contributions and sacrifices made by other biota to sustain human kind. Reciprocity has become a powerful organizing principle for the CTUIR Department of Natural Resources, fostering continuity across the actions and policies of environmental management programs at the CTUIR. Moreover, reciprocity is the foundation of the CTUIR “First Foods” management approach. We describe the cultural significance of First Foods, the First Foods management approach, a resulting management vision for resilient and functional river ecosystems, and subsequent shifts in management goals and planning among tribal environmental staff during the first decade of managing for First Foods. In presenting this management approach, we highlight how reciprocity has helped align human values and management goals with ecosystem resilience, yielding management decisions that benefit individuals and communities, indigenous and nonindigenous, as well as human and nonhuman. We further describe the broader applicability of reciprocity-based approaches to natural resource management.
","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-10080-230229","usgsCitation":"Quaempts, E.J., Jones, K., O’Daniel, S.J., Beechie, T.J., and Poole, G.C., 2018, Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA: Ecology and Society, v. 23, no. 2, Article 29; 20 p., https://doi.org/10.5751/ES-10080-230229.","productDescription":"Article 29; 20 p.","ipdsId":"IP-071268","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":468734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-10080-230229","text":"Publisher Index Page"},{"id":354455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"23","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b32","contributors":{"authors":[{"text":"Quaempts, Eric J","contributorId":205207,"corporation":false,"usgs":false,"family":"Quaempts","given":"Eric","email":"","middleInitial":"J","affiliations":[{"id":37057,"text":"Department of Natural Resources for the Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":736432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Krista 0000-0002-0301-4497","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":205206,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Daniel, Scott J.","contributorId":140123,"corporation":false,"usgs":false,"family":"O’Daniel","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13390,"text":"Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":736433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":736434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poole, Geoffrey C.","contributorId":179213,"corporation":false,"usgs":false,"family":"Poole","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":736435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197250,"text":"70197250 - 2018 - Assessing the impacts of dams and levees on the hydrologic record of the Middle and Lower Mississippi River, USA","interactions":[],"lastModifiedDate":"2018-05-24T10:46:20","indexId":"70197250","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impacts of dams and levees on the hydrologic record of the Middle and Lower Mississippi River, USA","docAbstract":"The impacts of dams and levees on the long-term (>130 years) discharge record was assessed along a ~1200 km segment of the Mississippi River between St. Louis, Missouri, and Vicksburg, Mississippi. To aid in our evaluation of dam impacts, we used data from the U.S. National Inventory of Dams to calculate the rate of reservoir expansion at five long-term hydrologic monitoring stations along the study segment. We divided the hydrologic record at each station into three periods: (1) a pre-rapid reservoir expansion period; (2) a rapid reservoir expansion period; and (3) a post-rapid reservoir expansion period. We then used three approaches to assess changes in the hydrologic record at each station. Indicators of hydrologic alteration (IHA) and flow duration hydrographs were used to quantify changes in flow conditions between the pre- and post-rapid reservoir expansion periods. Auto-regressive interrupted time series analysis (ARITS) was used to assess trends in maximum annual discharge, mean annual discharge, minimum annual discharge, and standard deviation of daily discharges within a given water year. A one-dimensional HEC-RAS hydraulic model was used to assess the impact of levees on flood flows. Our results revealed that minimum annual discharges and low-flow IHA parameters showed the most significant changes. Additionally, increasing trends in minimum annual discharge during the rapid reservoir expansion period were found at three out of the five hydrologic monitoring stations. These IHA and ARITS results support previous findings consistent with the observation that reservoirs generally have the greatest impacts on low-flow conditions. River segment scale hydraulic modeling revealed levees can modestly increase peak flood discharges, while basin-scale hydrologic modeling assessments by the U.S. Army Corps of Engineers showed that tributary reservoirs reduced peak discharges by a similar magnitude (2 to 30%). This finding suggests that the effects of dams and levees on peak flood discharges are in part offsetting one another along the modeled river segments and likely other substantially leveed segments of the Mississippi River.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2018.01.004","usgsCitation":"Remo, J.W., Ickes, B., Ryherd, J.K., Guida, R.J., and Therrell, M.D., 2018, Assessing the impacts of dams and levees on the hydrologic record of the Middle and Lower Mississippi River, USA: Geomorphology, v. 313, p. 88-100, https://doi.org/10.1016/j.geomorph.2018.01.004.","productDescription":"13 p.","startPage":"88","endPage":"100","ipdsId":"IP-088232","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2018.01.004","text":"Publisher Index Page"},{"id":354450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River","volume":"313","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d78e4b092d9651e1b38","contributors":{"authors":[{"text":"Remo, Jonathan W.F. 0000-0002-8208-2091","orcid":"https://orcid.org/0000-0002-8208-2091","contributorId":205201,"corporation":false,"usgs":false,"family":"Remo","given":"Jonathan","email":"","middleInitial":"W.F.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":736404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ickes, Brian 0000-0001-5622-3842 bickes@usgs.gov","orcid":"https://orcid.org/0000-0001-5622-3842","contributorId":2925,"corporation":false,"usgs":true,"family":"Ickes","given":"Brian","email":"bickes@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryherd, Julia K.","contributorId":205202,"corporation":false,"usgs":false,"family":"Ryherd","given":"Julia","email":"","middleInitial":"K.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":736405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guida, Ross J.","contributorId":205203,"corporation":false,"usgs":false,"family":"Guida","given":"Ross","email":"","middleInitial":"J.","affiliations":[{"id":37056,"text":"Sam Houston State University","active":true,"usgs":false}],"preferred":false,"id":736406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Therrell, Matthew D.","contributorId":172810,"corporation":false,"usgs":false,"family":"Therrell","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":736407,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257871,"text":"70257871 - 2018 - Nitrogen limitation, toxin synthesis potential, and toxicity of cyanobacterial populations in Lake Okeechobee and the St. Lucie River Estuary, Florida, during the 2016 state of emergency event","interactions":[],"lastModifiedDate":"2024-08-30T18:07:33.730762","indexId":"70257871","displayToPublicDate":"2018-05-23T06:58:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen limitation, toxin synthesis potential, and toxicity of cyanobacterial populations in Lake Okeechobee and the St. Lucie River Estuary, Florida, during the 2016 state of emergency event","docAbstract":"Lake Okeechobee, FL, USA, has been subjected to intensifying cyanobacterial blooms that can spread to the adjacent St. Lucie River and Estuary via natural and anthropogenically-induced flooding events. In July 2016, a large, toxic cyanobacterial bloom occurred in Lake Okeechobee and throughout the St. Lucie River and Estuary, leading Florida to declare a state of emergency. This study reports on measurements and nutrient amendment experiments performed in this freshwater-estuarine ecosystem (salinity 0–25 PSU) during and after the bloom. In July, all sites along the bloom exhibited dissolved inorganic nitrogen-to-phosphorus ratios < 6, while Microcystis dominated (> 95%) phytoplankton inventories from the lake to the central part of the estuary. Chlorophyll a and microcystin concentrations peaked (100 and 34 μg L-1, respectively) within Lake Okeechobee and decreased eastwards. Metagenomic analyses indicated that genes associated with the production of microcystin (mcyE) and the algal neurotoxin saxitoxin (sxtA) originated from Microcystis and multiple diazotrophic genera, respectively. There were highly significant correlations between levels of total nitrogen, microcystin, and microcystin synthesis gene abundance across all surveyed sites (p < 0.001), suggesting high levels of nitrogen supported the production of microcystin during this event. Consistent with this, experiments performed with low salinity water from the St. Lucie River during the event indicated that algal biomass was nitrogen-limited. In the fall, densities of Microcystis and concentrations of microcystin were significantly lower, green algae co-dominated with cyanobacteria, and multiple algal groups displayed nitrogen-limitation. These results indicate that monitoring and regulatory strategies in Lake Okeechobee and the St. Lucie River and Estuary should consider managing loads of nitrogen to control future algal and microcystin-producing cyanobacterial blooms.
Metal nanoparticles (Me-NPs) are increasingly used in various products, such as inks and cosmetics, enhancing the likelihood of their release into aquatic environments. An understanding of the mechanisms controlling their bioaccumulation and ecotoxicity in aquatic biota will help support environmental risk assessment. Here we characterized unidirectional parameters for uptake and elimination of silver (Ag) in the sediment-dwelling oligochaete Tubifex tubifex after waterborne (0.01–47 nmol Ag/L) and dietborne (0.4–482 nmol Ag/g dw sed.) exposures to Ag NPs and AgNO3, respectively. Worms accumulated Ag from AgNO3more efficiently than from Ag NPs during waterborne exposure. The Ag uptake rate constants from water were 8.2 L/g/d for AgNO3 and 0.34 L/g/d for Ag NPs. Silver accumulated from both forms was efficiently retained in tissues, as no significant loss of Ag was detected after up to 20 days of depuration in clean media. High mortality (~50%) during depuration (i.e. after 17 days) was only observed for worms exposed to waterborne AgNO3 (3 nmol/L). Sediment exposures to both Ag forms resulted in low accumulation, i.e., the uptake rate constants were 0.002 and 0.005 g/g/d for AgNO3 and Ag NPs, respectively. Avoidance was only observed for worms exposed to sediment amended with AgNO3. Incorporation of the estimated rate constants into a biodynamic model predicted that sediment is likely the most important route of uptake for Ag in both forms in ecologically relevant aquatic environments. However, inference of bioavailability from our estimations of Ag assimilation efficiencies (AE) suggests that Ag (AE: 3–12% for AgNO3 and 0.1–0.8% for Ag NPs) is weakly bioavailable from sediment for this species. Thus, Ag amended to sediment as NPs might not pose greater problems than 'conventional' Ag for benthic organisms such as T. tubifex.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.impact.2018.01.002","usgsCitation":"Tangaa, S.R., Winther-Nielsen, M., Selck, H., and Croteau, M.N., 2018, A biodynamic understanding of dietborne and waterborne Ag uptake from Ag NPs in the sediment-dwelling oligochaete, Tubifex tubifex: NanoImpact, v. 11, p. 33-41, https://doi.org/10.1016/j.impact.2018.01.002.","productDescription":"9 p.","startPage":"33","endPage":"41","ipdsId":"IP-087267","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":468737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.impact.2018.01.002","text":"Publisher Index Page"},{"id":354408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d79e4b092d9651e1b42","contributors":{"authors":[{"text":"Tangaa, Stine Rosendal","contributorId":205159,"corporation":false,"usgs":false,"family":"Tangaa","given":"Stine","email":"","middleInitial":"Rosendal","affiliations":[{"id":37038,"text":"Roskilde University, Dept. of Science and Environment, Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":736242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winther-Nielsen, Margrethe","contributorId":205160,"corporation":false,"usgs":false,"family":"Winther-Nielsen","given":"Margrethe","email":"","affiliations":[{"id":37039,"text":"DHI, Dept. of Environment and Toxicology, Hørsholm, Denmark","active":true,"usgs":false}],"preferred":false,"id":736243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selck, Henriette","contributorId":178783,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","email":"","affiliations":[],"preferred":false,"id":736244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":736241,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}