Baseline water-quality sampling was conducted for dissolved nutrients and for chemical and isotopic tracers at Kaloko-Honokōhau National Historical Park on the Island of Hawai'i. Existing and future urbanization in the surrounding areas have the potential to affect water quality in the Park, and so the National Park Service and the U.S. Geological Survey designed a water-sampling strategy to document baseline conditions against which future changes can be compared. Sites in and near the Park were sampled twice, in July and December 2009, and included four anchialine pools, two large fishponds, five monitoring wells, an upland production well, tap water, and a holding pond for golf-course irrigation water. Water samples within the coastal park were brackish, ranging in salinity from 15 to 67 percent seawater. Samples were analyzed for dissolved inorganic nutrients (nitrogen and phosphorus), stable isotopes (nitrogen and oxygen in dissolved nitrate; hydrogen and oxygen in the water molecule), pharmaceuticals, wastewater compounds, and volatile organic compounds. A case of acute, but temporary, fertilizer contamination was evident along the Park's north boundary during the turf grow-in period of a newly constructed golf course. A maximum nitrogen concentration 280 percent above background level was measured in monitoring well MW401 in July, later falling to 109 percent above background by December. Two nearby sites (MW400 and AP 144) had nitrogen concentrations that were elevated compared to remaining sites but less severely than at MW401. Aside from this localized fertilizer influence, other water samples had lower nutrient enrichments: 40 percent or less above background for nitrogen and 57 percent or less above background for phosphorus. Background was defined in this study by a graphical mixing line between saltwater from a deep well in the Park and freshwater at a reference well in the mountainous uplands (Honokōhau production well, at 1,675 ft altitude). Potential nutrient sources between the uplands and coastal lowlands that could contribute to enrichment include rock weathering, natural vegetation, fertilizers, septic leachate, and atmospheric deposition – including motor-vehicle exhaust.
\nSome fraction of septic leachate is expected in groundwater because there are unsewered suburban and commercial developments upslope from the Park that rely on cesspools and septic systems. However, stable isotopes of nitrate did not implicate septic-waste nitrogen (heavy δ15N values on the order of +10 per mil or greater). Instead, the heaviest δ15N values of +6 to +8 per mil were associated with the large fishponds, likely as a result of biotic cycling. Water samples with δ15N values of +3 to +5 per mil were still isotopically heavier than the upland groundwater value of +2 per mil and likely reflect addition of heavier nitrogen, possibly from septic sources, nitrogen-fixing vegetation, or vehicular exhaust. Pharmaceuticals, wastewater compounds, and volatile organic compounds indicated that if contamination is present, it appears to be at low, barely detectable, levels--at least as reflected by the results of this study. The most diagnostic indication of septic contamination was at monitoring well KAHO 2, closest to Kaloko Light Industrial Park, where three pharmaceuticals (carbamazepine, sulfamethoxazole, and thiobendazole) were detected at trace-level parts-per-trillion concentrations. A screening-level test for laundry fabric brighteners indicated positive detection at most sites; however, readings were quite low and if laundry graywater is present, it appears to be a small, dilute fraction. Because the weather was persistently dry throughout the study period, the USGS team was unable to conduct a wet-weather “storm” sampling. Wet-weather results are expected to differ from those reported here, though by how much remains unknown.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145158","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hunt, C.D., 2015, Baseline water-quality sampling to infer nutrient and contaminant sources at Kaloko-Honokōhau National Historical Park, Island of Hawai‘i, 2009: U.S. Geological Survey Scientific Investigations Report 2014-5158, Report: vii, 52 p.; 2 Tables, https://doi.org/10.3133/sir20145158.","productDescription":"Report: vii, 52 p.; 2 Tables","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-029480","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":297214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145158.gif"},{"id":297211,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5158/downloads/sir2014-5158_report.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297212,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5158/downloads/sir2014-5158_table3.xlsx","text":"Table 3","size":"48 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 3","linkHelpText":"Laboratory results and field measurements for water samples collected at Kaloko-Honokōhau National Historical Park, Island of Hawai‘i, July 23-28, 2009."},{"id":297213,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5158/downloads/sir2014-5158_table4.xlsx","text":"Table 4","size":"46 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 4","linkHelpText":"Laboratory results and field measurements for water samples collected at Kaloko-Honokōhau National Historical Park, Island of Hawai‘i, November 30-December 2, 2009."},{"id":297210,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5158/"}],"country":"United States","state":"Hawai‘i","otherGeospatial":"Kaloko-Honokōhau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.06903076171875,\n 19.598606721590237\n ],\n [\n -156.06903076171875,\n 19.73697619787738\n ],\n [\n -155.94268798828125,\n 19.73697619787738\n ],\n [\n -155.94268798828125,\n 19.598606721590237\n ],\n [\n -156.06903076171875,\n 19.598606721590237\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a58e4b08de9379b2ff7","contributors":{"authors":[{"text":"Hunt, Charles D. 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Understanding the relative changes in subsurface fluid pressures is important for systems, such as Devil's Slide, where slope creep can be interrupted by episodic slip events. Surface mapping, exploratory core, tunnel excavation records, and dip meter data were leveraged to conceptualize the parameter space for three-dimensional (3D) Devil's Slide-like simulations. Field observations (i.e. seepage meter, water retention, and infiltration experiments; well records; and piezometric data) and groundwater flow simulation (i.e. one-dimensional vertical, transient, and variably saturated) were used to design the boundary conditions for 3D Devil's Slide-like problems. Twenty-four simulations of steady-state saturated subsurface flow were conducted in a concept-development mode. Recharge, heterogeneity, and anisotropy are shown to increase fluid pressures for failure-prone locations by up to 18.1, 4.5, and 1.8% respectively. Previous estimates of slope stability, driven by simple water balances, are significantly improved upon with the fluid pressures reported here. The results, for a Devil's Slide-like system, provide a foundation for future investigations
","language":"English","publisher":"Wiley","publisherLocation":"Chichester, England","doi":"10.1002/hyp.10267","usgsCitation":"Thomas, M.A., Loague, K., and Voss, C.I., 2015, Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation: Hydrological Processes, v. 29, no. 6, p. 1450-1465, https://doi.org/10.1002/hyp.10267.","productDescription":"16 p.","startPage":"1450","endPage":"1465","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057308","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":297209,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.52433776855469,\n 37.57070524233116\n ],\n [\n -122.52433776855469,\n 37.586554436599386\n ],\n [\n -122.51051902770996,\n 37.586554436599386\n ],\n [\n -122.51051902770996,\n 37.57070524233116\n ],\n [\n -122.52433776855469,\n 37.57070524233116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-25","publicationStatus":"PW","scienceBaseUri":"54dd2a79e4b08de9379b308f","contributors":{"authors":[{"text":"Thomas, Matthew A.","contributorId":138657,"corporation":false,"usgs":false,"family":"Thomas","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12482,"text":"Department of Geological and Environmental Sciences, Stanford University, 450 Serra Mall, Building 320, Stanford, California 94305-2115, USA","active":true,"usgs":false}],"preferred":false,"id":538221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loague, Keith","contributorId":22408,"corporation":false,"usgs":true,"family":"Loague","given":"Keith","affiliations":[],"preferred":false,"id":538222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538220,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70121186,"text":"70121186 - 2015 - Implications of the circumpolar genetic structure of polar bears for their conservation in a rapidly warming Arctic","interactions":[],"lastModifiedDate":"2018-08-20T18:04:43","indexId":"70121186","displayToPublicDate":"2015-01-13T16:00:00","publicationYear":"2015","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":"Implications of the circumpolar genetic structure of polar bears for their conservation in a rapidly warming Arctic","docAbstract":"We provide an expansive analysis of polar bear (Ursus maritimus) circumpolar genetic variation during the last two decades of decline in their sea-ice habitat. We sought to evaluate whether their genetic diversity and structure have changed over this period of habitat decline, how their current genetic patterns compare with past patterns, and how genetic demography changed with ancient fluctuations in climate. Characterizing their circumpolar genetic structure using microsatellite data, we defined four clusters that largely correspond to current ecological and oceanographic factors: Eastern Polar Basin, Western Polar Basin, Canadian Archipelago and Southern Canada. We document evidence for recent (ca. last 1–3 generations) directional gene flow from Southern Canada and the Eastern Polar Basin towards the Canadian Archipelago, an area hypothesized to be a future refugium for polar bears as climate-induced habitat decline continues. Our data provide empirical evidence in support of this hypothesis. The direction of current gene flow differs from earlier patterns of gene flow in the Holocene. From analyses of mitochondrial DNA, the Canadian Archipelago cluster and the Barents Sea subpopulation within the Eastern Polar Basin cluster did not show signals of population expansion, suggesting these areas may have served also as past interglacial refugia. Mismatch analyses of mitochondrial DNA data from polar and the paraphyletic brown bear (U. arctos) uncovered offset signals in timing of population expansion between the two species, that are attributed to differential demographic responses to past climate cycling. Mitogenomic structure of polar bears was shallow and developed recently, in contrast to the multiple clades of brown bears. We found no genetic signatures of recent hybridization between the species in our large, circumpolar sample, suggesting that recently observed hybrids represent localized events. Documenting changes in subpopulation connectivity will allow polar nations to proactively adjust conservation actions to continuing decline in sea-ice habitat.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0112021","usgsCitation":"Peacock, E.L., Sonsthagen, S.A., Obbard, M.E., Boltunov, A.N., Regehr, E.V., Ovsyanikov, N., Aars, J., Atkinson, S.N., Sage, G.K., Hope, A.G., Zeyl, E., Bachmann, L., Ehrich, D., Scribner, K.T., Amstrup, S.C., Belikov, S., Born, E.W., Derocher, A.E., Stirling, I., Taylor, M.K., Wiig, Ø., Paetkau, D., and Talbot, S.L., 2015, Implications of the circumpolar genetic structure of polar bears for their conservation in a rapidly warming Arctic: PLoS ONE, v. 10, no. 1, e112021; 30 p., https://doi.org/10.1371/journal.pone.0112021.","productDescription":"e112021; 30 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051731","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":472338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0112021","text":"Publisher Index Page"},{"id":297194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -172.96875,\n 45.336701909968106\n ],\n [\n -172.96875,\n 85.02070774312594\n ],\n [\n 180.703125,\n 85.02070774312594\n ],\n [\n 180.703125,\n 45.336701909968106\n ],\n [\n -172.96875,\n 45.336701909968106\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-01-06","publicationStatus":"PW","scienceBaseUri":"54dd2a88e4b08de9379b30d8","contributors":{"authors":[{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":519250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obbard, Martyn E.","contributorId":108002,"corporation":false,"usgs":false,"family":"Obbard","given":"Martyn","email":"","middleInitial":"E.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":538227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boltunov, Andrei N.","contributorId":98682,"corporation":false,"usgs":false,"family":"Boltunov","given":"Andrei","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":538228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. 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groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data","interactions":[],"lastModifiedDate":"2015-01-13T15:17:29","indexId":"tm3B10","displayToPublicDate":"2015-01-13T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-B10","title":"U.S. Geological Survey groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data","docAbstract":"This report is a user guide for the streamflow-hydrograph analysis methods provided with version 1.0 of the U.S. Geological Survey (USGS) Groundwater Toolbox computer program. These include six hydrograph-separation methods to determine the groundwater-discharge (base-flow) and surface-runoff components of streamflow—the Base-Flow Index (BFI; Standard and Modified), HYSEP (Fixed Interval, Sliding Interval, and Local Minimum), and PART methods—and the RORA recession-curve displacement method and associated RECESS program to estimate groundwater recharge from streamflow data. The Groundwater Toolbox is a customized interface built on the nonproprietary, open source MapWindow geographic information system software. The program provides graphing, mapping, and analysis capabilities in a Microsoft Windows computing environment. In addition to the four hydrograph-analysis methods, the Groundwater Toolbox allows for the retrieval of hydrologic time-series data (streamflow, groundwater levels, and precipitation) from the USGS National Water Information System, downloading of a suite of preprocessed geographic information system coverages and meteorological data from the National Oceanic and Atmospheric Administration National Climatic Data Center, and analysis of data with several preprocessing and postprocessing utilities. With its data retrieval and analysis tools, the Groundwater Toolbox provides methods to estimate many of the components of the water budget for a hydrologic basin, including precipitation; streamflow; base flow; runoff; groundwater recharge; and total, groundwater, and near-surface evapotranspiration.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Ground-water techniques in Book 3 Applications of Hydraulics","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3B10","usgsCitation":"Barlow, P.M., Cunningham, W.L., Zhai, T., and Gray, M., 2015, U.S. Geological Survey groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data: U.S. Geological Survey Techniques and Methods 3-B10, Report: vii, 27 p.; Groundwater Toolbox, https://doi.org/10.3133/tm3B10.","productDescription":"Report: vii, 27 p.; Groundwater Toolbox","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056037","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":297199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm3B10.jpg"},{"id":297197,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/03/b10/pdf/tm3-b10.pdf","text":"Report","size":"1.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297198,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://water.usgs.gov/ogw/gwtoolbox/","text":"Groundwater Toolbox","description":"Groundwater Toolbox","linkHelpText":"A graphical and mapping interface for analysis of hydrologic data"},{"id":297196,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/03/b10/"}],"publicComments":"This report is Chapter 10 of Section B: Ground-water techniques in Book 3 Applications of Hydraulics.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac4e4b08de9379b31f3","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":525799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, William L. wcunning@usgs.gov","contributorId":1198,"corporation":false,"usgs":true,"family":"Cunningham","given":"William","email":"wcunning@usgs.gov","middleInitial":"L.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":525800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhai, Tong","contributorId":127595,"corporation":false,"usgs":false,"family":"Zhai","given":"Tong","email":"","affiliations":[{"id":7072,"text":"Aqua Terra Consultants","active":true,"usgs":false}],"preferred":false,"id":525802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Mark","contributorId":127594,"corporation":false,"usgs":false,"family":"Gray","given":"Mark","email":"","affiliations":[{"id":7072,"text":"Aqua Terra Consultants","active":true,"usgs":false}],"preferred":false,"id":525801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70140351,"text":"70140351 - 2015 - Location, timing and extent of wildfire vary by cause of ignition","interactions":[],"lastModifiedDate":"2015-02-09T09:38:20","indexId":"70140351","displayToPublicDate":"2015-01-13T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Location, timing and extent of wildfire vary by cause of ignition","docAbstract":"The increasing extent of wildfires has prompted investigation into alternative fire management approaches to complement the traditional strategies of fire suppression and fuels manipulation. Wildfire prevention through ignition reduction is an approach with potential for success, but ignitions result from a variety of causes. If some ignition sources result in higher levels of area burned, then ignition prevention programmes could be optimised to target these distributions in space and time. We investigated the most common ignition causes in two southern California sub-regions, where humans are responsible for more than 95% of all fires, and asked whether these causes exhibited distinct spatial or intra-annual temporal patterns, or resulted in different extents of fire in 10-29-year periods, depending on sub-region. Different ignition causes had distinct spatial patterns and those that burned the most area tended to occur in autumn months. Both the number of fires and area burned varied according to cause of ignition, but the cause of the most numerous fires was not always the cause of the greatest area burned. In both sub-regions, power line ignitions were one of the top two causes of area burned: the other major causes were arson in one sub-region and power equipment in the other. Equipment use also caused the largest number of fires in both sub-regions. These results have important implications for understanding why, where and how ignitions are caused, and in turn, how to develop strategies to prioritise and focus fire prevention efforts. Fire extent has increased tremendously in southern California, and because most fires are caused by humans, ignition reduction offers a potentially powerful management strategy, especially if optimised to reflect the distinct spatial and temporal distributions in different ignition causes.
","language":"English","publisher":"Fire Research Institute","publisherLocation":"Fairfield, WA","doi":"10.1071/WF14024","usgsCitation":"Syphard, A.D., and Keeley, J.E., 2015, Location, timing and extent of wildfire vary by cause of ignition: International Journal of Wildland Fire, v. 24, no. 1, p. 37-47, https://doi.org/10.1071/WF14024.","productDescription":"11 p.","startPage":"37","endPage":"47","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056454","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":297832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297831,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.consbio.org/products/publications/location-timing-and-extent-wildfire-vary-cause-ignition"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a93e4b08de9379b3104","contributors":{"authors":[{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":539997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":539996,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137345,"text":"fs20153003 - 2015 - Organic matters: investigating the sources, transport, and fate of organic matter in Fanno Creek, Oregon","interactions":[],"lastModifiedDate":"2015-01-14T08:35:39","indexId":"fs20153003","displayToPublicDate":"2015-01-13T09:15:00","publicationYear":"2015","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":"2015-3003","title":"Organic matters: investigating the sources, transport, and fate of organic matter in Fanno Creek, Oregon","docAbstract":"The term organic matter refers to the remnants of all living material. This can include fallen leaves, yard waste, animal waste, downed timber, or the remains of any other plant and animal life. Organic matter is abundant both on land and in water. Investigating organic matter is necessary for understanding the fate and transport of carbon (a major constituent of organic matter).
\nOrganic matter is necessary for maintaining a healthy ecosystem. It participates in a wide range of ecological functions, such as supplying food to the microbes that are part of the foundation of the food chain. Organic matter also plays a role in many other natural functions, including the binding and transport of some trace metals and controlling how light is absorbed in the water column. Organic matter in a stream can be found in many places, such as in the leaves that have fallen from a tree (termed \"leaf litter\"), in algae floating in the stream or attached to rocks, as part of the soil, or even suspended or dissolved in the water.
\nThe U.S. Geological Survey (USGS), in cooperation with Clean Water Services, recently completed an investigation into the sources, transport, and fate of organic matter in the Fanno Creek watershed. The information provided by this investigation will help resource managers to implement strategies aimed at decreasing the excess supply of organic matter that contributes to low dissolved-oxygen levels in Fanno Creek and downstream in the Tualatin River during summer. This fact sheet summarizes the findings of the investigation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153003","collaboration":"Clean Water Services","usgsCitation":"Sobieszczyk, S., Keith, M., Goldman, J.H., and Rounds, S.A., 2015, Organic matters: investigating the sources, transport, and fate of organic matter in Fanno Creek, Oregon: U.S. Geological Survey Fact Sheet 2015-3003, 4 p., https://doi.org/10.3133/fs20153003.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059566","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":297151,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3003/"},{"id":297152,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3003/pdf/fs2015-3003.pdf","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153003.png"}],"country":"United States","state":"Oregon","otherGeospatial":"Fanno Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.87246704101562,\n 45.333805815475024\n ],\n [\n -122.87246704101562,\n 45.566948210863636\n ],\n [\n -122.49893188476561,\n 45.566948210863636\n ],\n [\n -122.49893188476561,\n 45.333805815475024\n ],\n [\n -122.87246704101562,\n 45.333805815475024\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9fe4b08de9379b3148","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keith, Mackenzie K. 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":138533,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, Jami H. 0000-0001-5466-912X jgoldman@usgs.gov","orcid":"https://orcid.org/0000-0001-5466-912X","contributorId":4848,"corporation":false,"usgs":true,"family":"Goldman","given":"Jami","email":"jgoldman@usgs.gov","middleInitial":"H.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537756,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70116797,"text":"ds868 - 2015 - Data regarding hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010","interactions":[],"lastModifiedDate":"2017-02-13T14:34:47","indexId":"ds868","displayToPublicDate":"2015-01-13T08:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"868","title":"Data regarding hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010","docAbstract":"Comprehensive, published, and publicly available data regarding the extent, location, and character of hydraulic fracturing in the United States are scarce. The objective of this data series is to publish data related to hydraulic fracturing in the public domain. The spreadsheets released with this data series contain derivative datasets aggregated temporally and spatially from the commercial and proprietary IHS database of U.S. oil and gas production and well data (IHS Energy, 2011). These datasets, served in 21 spreadsheets in Microsoft Excel (.xlsx) format, outline the geographical distributions of hydraulic fracturing treatments and associated wells (including well drill-hole directions) as well as water volumes, proppants, treatment fluids, and additives used in hydraulic fracturing treatments in the United States from 1947 through 2010. This report also describes the data—extraction/aggregation processing steps, field names and descriptions, field types and sources. An associated scientific investigation report (Gallegos and Varela, 2014) provides a detailed analysis of the data presented in this data series and comparisons of the data and trends to the literature.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds868","usgsCitation":"Gallegos, T.J., and Varela, B.A., 2015, Data regarding hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: U.S. Geological Survey Data Series 868, Report: iv, 11 p.; Downloads Directory, https://doi.org/10.3133/ds868.","productDescription":"Report: iv, 11 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1947-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-050902","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":297145,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0868/"},{"id":297146,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0868/pdf/ds868.pdf","text":"Report","size":"292 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297147,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0868/downloads","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: spreadsheets in Microsoft Excel format for Volumes, Distributions, Wells, Treatments, and Keys."},{"id":297154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds868.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -177.71484375,\n 24.5271348225978\n ],\n [\n -177.71484375,\n 71.52490903732816\n ],\n [\n -66.09375,\n 71.52490903732816\n ],\n [\n -66.09375,\n 24.5271348225978\n ],\n [\n -177.71484375,\n 24.5271348225978\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a63e4b08de9379b3034","contributors":{"authors":[{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":5058,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":519051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70145996,"text":"70145996 - 2015 - Core-satellite species hypothesis and native versus exotic species in secondary succession","interactions":[],"lastModifiedDate":"2015-04-10T15:14:08","indexId":"70145996","displayToPublicDate":"2015-01-13T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Core-satellite species hypothesis and native versus exotic species in secondary succession","docAbstract":"A number of hypotheses exist to explain species’ distributions in a landscape, but these hypotheses are not frequently utilized to explain the differences in native and exotic species distributions. The core-satellite species (CSS) hypothesis predicts species occupancy will be bimodally distributed, i.e., many species will be common and many species will be rare, but does not explicitly consider exotic species distributions. The parallel dynamics (PD) hypothesis predicts that regional occurrence patterns of exotic species will be similar to native species. Together, the CSS and PD hypotheses may increase our understanding of exotic species’ distribution relative to natives. We selected an old field undergoing secondary succession to study the CSS and PD hypotheses in conjunction with each other. The ratio of exotic to native species (richness and abundance) was observed through 17 years of secondary succession. We predicted species would be bimodally distributed and that exotic:native species ratios would remain steady or decrease through time under frequent disturbance. In contrast to the CSS and PD hypotheses, native species occupancies were not bimodally distributed at the site, but exotic species were. The exotic:native species ratios for both richness (E:Nrichness) and abundance (E:Ncover) generally decreased or remained constant throughout supporting the PD hypothesis. Our results suggest exotic species exhibit metapopulation structure in old field landscapes, but that metapopulation structures of native species are disrupted, perhaps because these species are dispersal limited in the fragmented landscape.
","language":"English","publisher":"Springer","doi":"10.1007/s11258-015-0446-z","usgsCitation":"Martinez, K.A., Gibson, D.J., and Middleton, B.A., 2015, Core-satellite species hypothesis and native versus exotic species in secondary succession: Plant Ecology, v. 216, no. 3, p. 419-427, https://doi.org/10.1007/s11258-015-0446-z.","productDescription":"9 p.","startPage":"419","endPage":"427","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059474","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":299587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","county":"Jackson County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.16260361671448,\n 37.627751648720604\n ],\n [\n -89.16260361671448,\n 37.62947655503113\n ],\n [\n -89.16013598442078,\n 37.62947655503113\n ],\n [\n -89.16013598442078,\n 37.627751648720604\n ],\n [\n -89.16260361671448,\n 37.627751648720604\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"216","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-13","publicationStatus":"PW","scienceBaseUri":"5528f42de4b026915857cb0e","contributors":{"authors":[{"text":"Martinez, Kelsey A.","contributorId":140173,"corporation":false,"usgs":false,"family":"Martinez","given":"Kelsey","email":"","middleInitial":"A.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":544577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibson, David J.","contributorId":140174,"corporation":false,"usgs":false,"family":"Gibson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":544578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":544576,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70116798,"text":"sir20145131 - 2015 - Trends in hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: data analysis and comparison to the literature","interactions":[],"lastModifiedDate":"2017-02-13T14:35:30","indexId":"sir20145131","displayToPublicDate":"2015-01-12T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5131","title":"Trends in hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: data analysis and comparison to the literature","docAbstract":"Hydraulic fracturing is presently the primary stimulation technique for oil and gas production in low-permeability, unconventional reservoirs. Comprehensive, published, and publicly available information regarding the extent, location, and character of hydraulic fracturing in the United States is scarce. This national spatial and temporal analysis of data on nearly 1 million hydraulically fractured wells and 1.8 million fracturing treatment records from 1947 through 2010 (aggregated in Data Series 868) is used to identify hydraulic fracturing trends in drilling methods and use of proppants, treatment fluids, additives, and water in the United States. These trends are compared to the literature in an effort to establish a common understanding of the differences in drilling methods, treatment fluids, and chemical additives and of how the newer technology has affected the water use volumes and areal distribution of hydraulic fracturing. Historically, Texas has had the highest number of records of hydraulic fracturing treatments and associated wells in the United States documented in the datasets described herein. Water-intensive horizontal/directional drilling has also increased from 6 percent of new hydraulically fractured wells drilled in the United States in 2000 to 42 percent of new wells drilled in 2010. Increases in horizontal drilling also coincided with the emergence of water-based “slick water” fracturing fluids. As such, the most current hydraulic fracturing materials and methods are notably different from those used in previous decades and have contributed to the development of previously inaccessible unconventional oil and gas production target areas, namely in shale and tight-sand reservoirs. Publicly available derivative datasets and locations developed from these analyses are described.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145131","usgsCitation":"Gallegos, T.J., and Varela, B.A., 2015, Trends in hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: data analysis and comparison to the literature: U.S. Geological Survey Scientific Investigations Report 2014-5131, iv, 15 p., https://doi.org/10.3133/sir20145131.","productDescription":"iv, 15 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050903","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":297130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145131.jpg"},{"id":297129,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5131/pdf/sir2014-5131.pdf#"},{"id":297128,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5131/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac3e4b08de9379b31ef","contributors":{"authors":[{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":5058,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":519053,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137736,"text":"70137736 - 2015 - Genetic analysis of invasive Asian Black Carp (Mylopharyngodon piceus) in the Mississippi River Basin: evidence for multiple introductions","interactions":[],"lastModifiedDate":"2015-01-12T09:35:49","indexId":"70137736","displayToPublicDate":"2015-01-12T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis of invasive Asian Black Carp (Mylopharyngodon piceus) in the Mississippi River Basin: evidence for multiple introductions","docAbstract":"Invasive Asian Black Carp (Mylopharyngodon piceus) have been present in USA aquaculture facilities since the 1980s and wild Black Carp have been found in the Mississippi River Basin since the early 1990s. This study characterizes the genetic diversity and relatedness of the Basin’s Black Carp and clarifies the introduction history. Analyses focused on three mitochondrial markers (control region, cytochrome-b, and 16S) and seven nuclear microsatellite markers (nDNA), using aquaculture and wild-caught samples collected in the upper and lower Mississippi Basin. Of the three mitochondrial haplotypes, two were shared between the aquaculture and wild populations, while a third was only present in upper Mississippi wild-caught specimens. Due to the presence of diploid and triploid fish, microsatellite markers were scored as pseudodominant and revealed low polymorphism (NA = 4.6, NA Ave = 1.5). Nuclear Bayesian clustering analyses identified two genetically distinct groups and four subclusters, each primarily composed of a unique haplotype. Samples from three aquaculture farms were assigned to group 1, while a fourth farm included samples from both groups 1 and 2. Wild-caught fish from the upper Basin were predominantly group 1, whereas wild samples from the lower Mississippi were assigned to both genetic groups. The presence of divergent haplotypes and distinct nDNA groups, along with geographic distribution patterns, indicate that wild populations in the basin likely resulted from multiple introductions. Genetic similarities between wild and captive populations support claims that aquaculture is the introduction source, but a shortage of samples and a history of repeated transfers among facilities obscure the precise pathway.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-014-0708-z","usgsCitation":"Hunter, M., and Nico, L.G., 2015, Genetic analysis of invasive Asian Black Carp (Mylopharyngodon piceus) in the Mississippi River Basin: evidence for multiple introductions: Biological Invasions, v. 17, no. 1, p. 99-114, https://doi.org/10.1007/s10530-014-0708-z.","productDescription":"16 p.","startPage":"99","endPage":"114","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045945","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.13134765625,\n 30.164126343161097\n ],\n [\n -89.14306640625,\n 30.14512718337613\n ],\n [\n -88.857421875,\n 48.80686346108517\n ],\n [\n -96.328125,\n 49.095452162534826\n ],\n [\n -94.306640625,\n 30.826780904779774\n ],\n [\n -92.13134765625,\n 30.164126343161097\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-17","publicationStatus":"PW","scienceBaseUri":"54dd2a7be4b08de9379b3098","contributors":{"authors":[{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":538005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nico, Leo G. 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":2913,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":538006,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135748,"text":"ofr20141254 - 2015 - Evaluating and ranking threats to the long-term persistence of polar bears","interactions":[],"lastModifiedDate":"2018-05-06T10:58:16","indexId":"ofr20141254","displayToPublicDate":"2015-01-12T08:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1254","title":"Evaluating and ranking threats to the long-term persistence of polar bears","docAbstract":"The polar bear (Ursus maritimus) was listed as a globally threatened species under the U.S. Endangered Species Act (ESA) in 2008, mostly due to the significant threat to their future population viability from rapidly declining Arctic sea ice. A core mandate of the ESA is the development of a recovery plan that identifies steps to maintain viable populations of a listed species. A substantive evaluation of the relative influence of putative threats to population persistence is helpful to recovery planning. Because management actions must often be taken in the face of substantial information gaps, a formalized evaluation hypothesizing potential stressors and their relationships with population persistence can improve identification of relevant conservation actions. To this end, we updated a Bayesian network model previously used to forecast the future status of polar bears worldwide. We used new information on actual and predicted sea ice loss and polar bear responses to evaluate the relative influence of plausible threats and their mitigation through management actions on the persistence of polar bears in four ecoregions. We found that polar bear outcomes worsened over time through the end of the century under both stabilized and unabated greenhouse gas (GHG) emission pathways. Under the unabated pathway (i.e., RCP 8.5), the time it took for polar bear populations in two of four ecoregions to reach a dominant probability of greatly decreased was hastened by about 25 years. Under the stabilized GHG emission pathway (i.e., RCP 4.5), where GHG emissions peak around the year 2040, the polar bear population in the Archipelago Ecoregion of High Arctic Canada never reached a dominant probability of greatly decreased, reinforcing earlier suggestions of this ecoregion’s potential to serve as a long-term refugium. The most influential drivers of adverse polar bear outcomes were declines to overall sea ice conditions and to the marine prey base. Improved sea ice conditions substantively lowered the probability of a decreased or greatly decreased outcome, while an elevated marine prey base was slightly less influential in lowering the probability of a decreased or greatly decreased outcome. Stressors associated with in situ human activities exerted considerably less influence on population outcomes. Reduced mortality from hunting and defense of life and property interactions resulted inmodest declines in the probability of a decreased or greatly decreased population outcome. Minimizing other stressors such as trans-Arctic shipping, oil and gas exploration, and point-source pollution had negligible effects on polar bear outcomes, but that could be attributed to uncertainties in the ecological relevance of those specific stressors. Our findings suggest adverse consequences of loss of sea ice habitat become more pronounced as the summer ice-free period lengthens beyond 4 months, which could occur in portions of the Arctic by the middle of this century under the unabated pathway. The long-term persistence of polar bears may be achieved through ameliorating the loss of sea ice habitat, which will likely require stabilizing CO2emissions at or below the ceiling represented by RCP 4.5. Management of other stressors may serve to slow the transition of polar bear populations to progressively worsened outcomes, and improve the prospects of persistence, pending GHG mitigation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141254","usgsCitation":"Atwood, T.C., Marcot, B., Douglas, D., Amstrup, S.C., Rode, K.D., Durner, G.M., and Bromaghin, J.F., 2015, Evaluating and ranking threats to the long-term persistence of polar bears: U.S. Geological Survey Open-File Report 2014-1254, vi, 114 p., https://doi.org/10.3133/ofr20141254.","productDescription":"vi, 114 p.","numberOfPages":"124","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059609","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":297120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141254.jpg"},{"id":297118,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1254/"},{"id":297119,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1254/pdf/ofr2014-1254.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -172.96875,\n 45.583289756006316\n ],\n [\n -172.96875,\n 85.0511287798066\n ],\n [\n 180.703125,\n 85.0511287798066\n ],\n [\n 180.703125,\n 45.583289756006316\n ],\n [\n -172.96875,\n 45.583289756006316\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a74e4b08de9379b3072","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":537990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":58015,"corporation":false,"usgs":true,"family":"Marcot","given":"Bruce G.","affiliations":[],"preferred":false,"id":538007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":538009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538012,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70140290,"text":"70140290 - 2015 - Different fire-climate relationships on forested and non-forested landscapes in the Sierra Nevada ecoregion","interactions":[],"lastModifiedDate":"2015-02-06T09:47:58","indexId":"70140290","displayToPublicDate":"2015-01-12T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Different fire-climate relationships on forested and non-forested landscapes in the Sierra Nevada ecoregion","docAbstract":"In the California Sierra Nevada region, increased fire activity over the last 50 years has only occurred in the higher-elevation forests on US Forest Service (USFS) lands, and is not characteristic of the lower-elevation grasslands, woodlands and shrublands on state responsibility lands (Cal Fire). Increased fire activity on USFS lands was correlated with warmer and drier springs. Although this is consistent with recent global warming, we found an equally strong relationship between fire activity and climate in the first half of the 20th century. At lower elevations, warmer and drier conditions were not strongly tied to fire activity over the last 90 years, although prior-year precipitation was significant. It is hypothesised that the fire–climate relationship in forests is determined by climatic effects on spring and summer fuel moisture, with hotter and drier springs leading to a longer fire season and more extensive burning. In contrast, future fire activity in the foothills may be more dependent on rainfall patterns and their effect on the herbaceous fuel load. We predict spring and summer warming will have a significant impact on future fire regimes, primarily in higher-elevation forests. Lower elevation ecosystems are likely to be affected as much by global changes that directly involve land-use patterns as by climate change.
","language":"English","publisher":"CSIRO","doi":"10.1071/WF14102","usgsCitation":"Keeley, J.E., and Syphard, A.D., 2015, Different fire-climate relationships on forested and non-forested landscapes in the Sierra Nevada ecoregion: International Journal of Wildland Fire, v. 24, no. 1, p. 27-36, https://doi.org/10.1071/WF14102.","productDescription":"10 p.","startPage":"27","endPage":"36","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051436","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":297773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.20166015625,\n 34.687427949314845\n ],\n [\n -116.38916015624999,\n 35.496456056584165\n ],\n [\n -120.47607421874999,\n 39.38526381099777\n ],\n [\n -122.25585937500001,\n 38.75408327579141\n ],\n [\n -119.20166015625,\n 34.687427949314845\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a69e4b08de9379b3043","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":539950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":539951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074687,"text":"70074687 - 2015 - Predation on native sculpin by exotic brown trout exceeds that by native cutthroat trout within a mountain watershed (Logan, UT, USA)","interactions":[],"lastModifiedDate":"2018-07-24T10:07:50","indexId":"70074687","displayToPublicDate":"2015-01-12T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Predation on native sculpin by exotic brown trout exceeds that by native cutthroat trout within a mountain watershed (Logan, UT, USA)","docAbstract":"We explored potential negative effects of exotic brown trout (Salmo trutta) on native sculpin (Cottus sp.) on the Logan River, Utah, USA by (i) examining factors most strongly correlated with sculpin abundance (e.g., abiotic conditions or piscivory?), (ii) contrasting the extent of brown trout predation on sculpin with that by native cutthroat trout (Oncorhynchus clarkii utah) and (iii) estimating the number of sculpin consumed by brown trout along an elevational gradient using bioenergetics. Abundance of sculpin across reaches showed a strong (r ≥ 0.40) and significant (P < 0.05) correlation with physical variables describing width (positive) and gradient (negative), but not with abundance of piscivorous brown trout or cutthroat trout. In mainstem reaches containing sculpin, we found fish in 0% of age‐1, 10% of age‐2 and 33% of age‐3 and older brown trout diets. Approximately 81% of fish consumed by brown trout were sculpin. Despite a similar length–gape relationship for native cutthroat trout, we found only two fish (one sculpin and one unknown) in the diets of native cutthroat trout similar in size to age‐3 brown trout. Based on bioenergetics, we estimate that an average large (> 260 mm) brown trout consumes as many as 34 sculpin per year. Nevertheless, results suggest that sculpin abundance in this system is controlled by abiotic factors and not brown trout predation. Additional research is needed to better understand how piscivory influences brown trout invasion success, including in‐stream experiments exploring trophic dynamics and interactions between brown trout and native prey under different environmental conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12134","usgsCitation":"Meredith, C.S., Budy, P., and Thiede, G.P., 2015, Predation on native sculpin by exotic brown trout exceeds that by native cutthroat trout within a mountain watershed (Logan, UT, USA): Ecology of Freshwater Fish, v. 24, no. 1, p. 133-147, https://doi.org/10.1111/eff.12134.","productDescription":"15 p.","startPage":"133","endPage":"147","onlineOnly":"N","ipdsId":"IP-042175","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":355915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Logan River","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-04-21","publicationStatus":"PW","scienceBaseUri":"5b6fcc5de4b0f5d57878ecd9","contributors":{"authors":[{"text":"Meredith, Christy S.","contributorId":197695,"corporation":false,"usgs":false,"family":"Meredith","given":"Christy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":740757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":518510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thiede, Gary P.","contributorId":9154,"corporation":false,"usgs":true,"family":"Thiede","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":740758,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157261,"text":"70157261 - 2015 - Avian malaria in Hawaiian forest birds: Infection and population impacts across species and elevations","interactions":[],"lastModifiedDate":"2024-10-01T13:17:06.779702","indexId":"70157261","displayToPublicDate":"2015-01-11T03:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Avian malaria in Hawaiian forest birds: Infection and population impacts across species and elevations","docAbstract":"A clarification for the enumeration of Mars Years prior to 1955 is presented, along with a table providing the Julian dates associated with Ls = 0° for Mars Years -183 (beginning of the telescopic study of Mars) to 100. A practical algorithm for computing Ls as a function of the Julian Date is provided. No new science results are presented
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2014.12.014","usgsCitation":"Piqueux, S., Byrne, S., Titus, T.N., Hansen, C.J., and Kieffer, H.H., 2015, Enumeration of Mars years and seasons since the beginning of telescopic exploration: Icarus, v. 251, p. 332-338, https://doi.org/10.1016/j.icarus.2014.12.014.","productDescription":"7 p.","startPage":"332","endPage":"338","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057816","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":297636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"251","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a70e4b08de9379b3064","contributors":{"authors":[{"text":"Piqueux, Sylvain","contributorId":56986,"corporation":false,"usgs":false,"family":"Piqueux","given":"Sylvain","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":539549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":539550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":539548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":539551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieffer, Hugh H.","contributorId":41137,"corporation":false,"usgs":false,"family":"Kieffer","given":"Hugh","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":539552,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137253,"text":"70137253 - 2015 - Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","interactions":[],"lastModifiedDate":"2015-06-02T11:09:36","indexId":"70137253","displayToPublicDate":"2015-01-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","docAbstract":"Groundwater with elevated dissolved-solids concentrations—containing large concentrations of chloride, sodium, sulfate, and calcium—is present in the Mud Lake area of Eastern Idaho. The source of these solutes is unknown; however, an understanding of the geochemical sources and processes controlling their presence in groundwater in the Mud Lake area is needed to better understand the geochemical sources and processes controlling the water quality of groundwater at the Idaho National Laboratory. The geochemical sources and processes controlling the water quality of groundwater in the Mud Lake area were determined by investigating the geology, hydrology, land use, and groundwater geochemistry in the Mud Lake area, proposing sources for solutes, and testing the proposed sources through geochemical modeling with PHREEQC. Modeling indicated that sources of water to the eastern Snake River Plain aquifer were groundwater from the Beaverhead Mountains and the Camas Creek drainage basin; surface water from Medicine Lodge and Camas Creeks, Mud Lake, and irrigation water; and upward flow of geothermal water from beneath the aquifer. Mixing of groundwater with surface water or other groundwater occurred throughout the aquifer. Carbonate reactions, silicate weathering, and dissolution of evaporite minerals and fertilizer explain most of the changes in chemistry in the aquifer. Redox reactions, cation exchange, and evaporation were locally important. The source of large concentrations of chloride, sodium, sulfate, and calcium was evaporite deposits in the unsaturated zone associated with Pleistocene Lake Terreton. Large amounts of chloride, sodium, sulfate, and calcium are added to groundwater from irrigation water infiltrating through lake bed sediments containing evaporite deposits and the resultant dissolution of gypsum, halite, sylvite, and bischofite.
","language":"English","publisher":"Springer","doi":"10.1007/s12665-014-3988-9","usgsCitation":"Rattray, G.W., 2015, Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA: Environmental Earth Sciences, v. 73, no. 12, p. 8251-8269, https://doi.org/10.1007/s12665-014-3988-9.","productDescription":"19 p.","startPage":"8251","endPage":"8269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054801","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":472341,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-014-3988-9","text":"Publisher Index Page"},{"id":297528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Mud Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.09228515624999,\n 49.009050809382046\n ],\n [\n -117.158203125,\n 42.04929263868686\n ],\n [\n -111.005859375,\n 42.01665183556825\n ],\n [\n -111.11572265625,\n 44.77793589631623\n ],\n [\n -116.08154296875001,\n 48.99463598353408\n ],\n [\n -117.09228515624999,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-10","publicationStatus":"PW","scienceBaseUri":"54dd2a7de4b08de9379b30a4","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70137564,"text":"ofr20141159 - 2015 - Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","interactions":[],"lastModifiedDate":"2015-01-09T12:34:30","indexId":"ofr20141159","displayToPublicDate":"2015-01-09T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1159","title":"Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","docAbstract":"An oceanographic field study during January through April 2012 investigated processes that control the sediment-transport dynamics near Fire Island, New York. This report describes the project background, field program, instrumentation configuration, and locations of the sensors deploymed. The data collected and supporting meteorological observations are presented as time series plots for data visualization. Additionally, individual, links to the database containing digital data files are available as part of this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141159","collaboration":"Prepared in cooperation with the University of South Carolina","usgsCitation":"Armstrong, B., Warner, J., List, J., Martini, M.A., Montgomery, E., Voulgaris, G., and Traykovski, P.A., 2015, Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012: U.S. Geological Survey Open-File Report 2014-1159, HTML Document, https://doi.org/10.3133/ofr20141159.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-04-30","ipdsId":"IP-056000","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141159.JPG"},{"id":297095,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1159/"},{"id":297096,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1159/ofr2014-1159-title_page.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.4051513671875,\n 40.59935608796518\n ],\n [\n -73.4051513671875,\n 40.76390128094589\n ],\n [\n -72.78854370117188,\n 40.76390128094589\n ],\n [\n -72.78854370117188,\n 40.59935608796518\n ],\n [\n -73.4051513671875,\n 40.59935608796518\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5fe4b08de9379b301e","contributors":{"authors":[{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":5897,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy N.","email":"barmstrong@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":127596,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montgomery, Ellyn T. emontgomery@usgs.gov","contributorId":407,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":537961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Traykovski, Peter A. 0000-0002-8163-6857","orcid":"https://orcid.org/0000-0002-8163-6857","contributorId":69487,"corporation":false,"usgs":false,"family":"Traykovski","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":537962,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70138887,"text":"70138887 - 2015 - Erratum to: Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","interactions":[],"lastModifiedDate":"2015-01-23T14:23:23","indexId":"70138887","displayToPublicDate":"2015-01-09T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Erratum to: Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","docAbstract":"Erratum to: Mar Biol (2014) 161:2659–2668 DOI 10.1007/s00227-014-2537-0
\nThe Open Robust Model methods used for analysis in this study were developed by Kendall and Bjorkland (2001) and Kendall (2010). The language used in this manuscript to describe formatting and implementation of data for these analyses was derived heavily from Phillips et al. (2014). Therefore, the wording in the last paragraph of the ‘Materials and methods’ (p. 2662) and in the last paragraph of the ‘Results’ (p. 2663) of our publication is largely identical to the corresponding sections on pp. 865–866 in Phillips et al. (2014). Unfortunately, we did not indicate this adequately, thus proper credit was not given to the contribution of Phillips et al. (2014) in our publication.
","language":"English","publisher":"Springer","usgsCitation":"Lamont, M.M., Fujisaki, I., and Carthy, R.R., 2015, Erratum to: Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management: Marine Biology, v. 162, no. 2, p. 491-491.","productDescription":"1 p.","startPage":"491","endPage":"491","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061249","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297489,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00227-014-2598-0"}],"volume":"162","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a70e4b08de9379b3066","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":539163,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134232,"text":"ofr20141231 - 2015 - Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013","interactions":[],"lastModifiedDate":"2015-01-26T13:07:58","indexId":"ofr20141231","displayToPublicDate":"2015-01-08T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1231","title":"Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013","docAbstract":"During May–June, 2013, the U.S. Geological Survey, in cooperation with Park County, Colorado, drilled and installed four groundwater monitoring wells in areas identified as needing new wells to provide adequate spatial coverage for monitoring water quality in the South Park basin. Lithologic logs and well-construction reports were prepared for each well, and wells were developed after drilling to remove mud and foreign material to provide for good hydraulic connection between the well and aquifer. Slug tests were performed to estimate hydraulic-conductivity values for aquifer materials in the screened interval of each well, and groundwater samples were collected from each well for analysis of major inorganic constituents, trace metals, nutrients, dissolved organic carbon, volatile organic compounds, ethane, methane, and radon. Documentation of lithologic logs, well construction, well development, slug testing, and groundwater sampling are presented in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141231","collaboration":"Prepared in cooperation with Park County, Colorado","usgsCitation":"Arnold, L.R., 2015, Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013: U.S. Geological Survey Open-File Report 2014-1231, Report: v, 32 p.; Appendixes 1-4, https://doi.org/10.3133/ofr20141231.","productDescription":"Report: v, 32 p.; Appendixes 1-4","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-05-01","temporalEnd":"2013-06-30","ipdsId":"IP-054626","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":297075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141231.jpg"},{"id":297068,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1231/"},{"id":297069,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1231/pdf/ofr2014-1231.pdf","text":"Report","size":"8.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297070,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix1_logs.pdf","text":"Appendix 1","size":"109 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1","linkHelpText":"Lithologic Logs"},{"id":297071,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix2_diagrams.pdf","text":"Appendix 2","size":"432 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"Well-Constructed Diagrams"},{"id":297072,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix3_development.pdf","text":"Appendix 3","size":"91 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3","linkHelpText":"Well-Developed Records"},{"id":297073,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1231/appendix/ofr2014-1231_appendix4_qc_data.xlsx","text":"Appendix 4","size":"33 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 4","linkHelpText":"Water-Quality Control Data"}],"datum":"North American Datum of 1983","country":"United States","state":"Colorado","county":"Park County","otherGeospatial":"South Park basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.10321044921875,\n 38.700515838688716\n ],\n [\n -106.10321044921875,\n 39.42770738465604\n ],\n [\n -105.45364379882812,\n 39.42770738465604\n ],\n [\n -105.45364379882812,\n 38.700515838688716\n ],\n [\n -106.10321044921875,\n 38.700515838688716\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9ae4b08de9379b312e","contributors":{"authors":[{"text":"Arnold, L. R. 0000-0002-5110-9642 lrarnold@usgs.gov","orcid":"https://orcid.org/0000-0002-5110-9642","contributorId":1307,"corporation":false,"usgs":true,"family":"Arnold","given":"L.","email":"lrarnold@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525701,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70137395,"text":"70137395 - 2015 - Infectious diseases affect marine fisheries and aquaculture economics","interactions":[],"lastModifiedDate":"2015-01-08T09:24:01","indexId":"70137395","displayToPublicDate":"2015-01-08T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Infectious diseases affect marine fisheries and aquaculture economics","docAbstract":"Seafood is a growing part of the economy, but its economic value is diminished by marine diseases. Infectious diseases are common in the ocean, and here we tabulate 67 examples that can reduce commercial species' growth and survivorship or decrease seafood quality. These impacts seem most problematic in the stressful and crowded conditions of aquaculture, which increasingly dominates seafood production as wild fishery production plateaus. For instance, marine diseases of farmed oysters, shrimp, abalone, and various fishes, particularly Atlantic salmon, cost billions of dollars each year. In comparison, it is often difficult to accurately estimate disease impacts on wild populations, especially those of pelagic and subtidal species. Farmed species often receive infectious diseases from wild species and can, in turn, export infectious agents to wild species. However, the impact of disease export on wild fisheries is controversial because there are few quantitative data demonstrating that wild species near farms suffer more from infectious diseases than those in other areas. The movement of exotic infectious agents to new areas continues to be the greatest concern.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-010814-015646","usgsCitation":"Lafferty, K.D., Harvell, C.D., Conrad, J.M., Friedman, C., Kent, M., Kuris, A.M., Powell, E.N., Rondeau, D., and Saksida, S.M., 2015, Infectious diseases affect marine fisheries and aquaculture economics: Annual Review of Marine Science, v. 7, p. 471-496, https://doi.org/10.1146/annurev-marine-010814-015646.","productDescription":"26 p.","startPage":"471","endPage":"496","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057496","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-010814-015646","text":"Publisher Index Page"},{"id":297064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a88e4b08de9379b30dc","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":537793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvell, C. Drew","contributorId":32843,"corporation":false,"usgs":false,"family":"Harvell","given":"C.","email":"","middleInitial":"Drew","affiliations":[],"preferred":false,"id":537794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrad, Jonathan M.","contributorId":138549,"corporation":false,"usgs":false,"family":"Conrad","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":537795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Carolyn S.","contributorId":13890,"corporation":false,"usgs":true,"family":"Friedman","given":"Carolyn S.","affiliations":[],"preferred":false,"id":537796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Michael L.","contributorId":108420,"corporation":false,"usgs":true,"family":"Kent","given":"Michael L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":537797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuris, Armand M.","contributorId":54332,"corporation":false,"usgs":true,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":537798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Powell, Eric N.","contributorId":138550,"corporation":false,"usgs":false,"family":"Powell","given":"Eric","email":"","middleInitial":"N.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":537799,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rondeau, Daniel","contributorId":138551,"corporation":false,"usgs":false,"family":"Rondeau","given":"Daniel","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":537800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Saksida, Sonja M.","contributorId":138552,"corporation":false,"usgs":false,"family":"Saksida","given":"Sonja","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":537801,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70147951,"text":"70147951 - 2015 - Multilevel learning in the adaptive management of waterfowl harvests: 20 years and counting","interactions":[],"lastModifiedDate":"2015-05-08T15:00:19","indexId":"70147951","displayToPublicDate":"2015-01-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Multilevel learning in the adaptive management of waterfowl harvests: 20 years and counting","docAbstract":"In 1995, the U.S. Fish and Wildlife Service implemented an adaptive harvest management program (AHM) for the sport harvest of midcontinent mallards (Anas platyrhynchos). The program has been successful in reducing long-standing contentiousness in the regulatory process, while integrating science and policy in a coherent, rigorous, and transparent fashion. After 20 years, much has been learned about the relationship among waterfowl populations, their environment, and hunting regulations, with each increment of learning contributing to better management decisions. At the same time, however, much has been changing in the social, institutional, and environmental arenas that provide context for the AHM process. Declines in hunter numbers, competition from more pressing conservation issues, and global-change processes are increasingly challenging waterfowl managers to faithfully reflect the needs and desires of stakeholders, to account for an increasing number of institutional constraints, and to (probabilistically) predict the consequences of regulatory policy in a changing environment. We review the lessons learned from the AHM process so far, and describe emerging challenges and ways in which they may be addressed. We conclude that the practice of AHM has greatly increased an awareness of the roles of social values, trade-offs, and attitudes toward risk in regulatory decision-making. Nevertheless, going forward the waterfowl management community will need to focus not only on the relationships among habitat, harvest, and waterfowl populations, but on the ways in which society values waterfowl and how those values can change over time.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.518","usgsCitation":"Johnson, F.A., Boomer, G.S., Williams, B., Nichols, J., and Case, D.J., 2015, Multilevel learning in the adaptive management of waterfowl harvests: 20 years and counting: Wildlife Society Bulletin, v. 39, no. 1, p. 9-19, https://doi.org/10.1002/wsb.518.","productDescription":"11 p.","startPage":"9","endPage":"19","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056296","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.518","text":"Publisher Index Page"},{"id":300245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-08","publicationStatus":"PW","scienceBaseUri":"554dde2fe4b082ec54129f2c","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":546478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, G. Scott","contributorId":139565,"corporation":false,"usgs":false,"family":"Boomer","given":"G.","email":"","middleInitial":"Scott","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":546479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Byron K.","contributorId":139564,"corporation":false,"usgs":false,"family":"Williams","given":"Byron K.","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":546480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":546481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Case, David J.","contributorId":140653,"corporation":false,"usgs":false,"family":"Case","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13543,"text":"DJ Case & Associates","active":true,"usgs":false}],"preferred":false,"id":546482,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70140287,"text":"70140287 - 2015 - Prevalence of toxin-producing Clostridium botulinum associated with the macroalga Cladophora in three Great Lakes: Growth and management","interactions":[],"lastModifiedDate":"2021-09-01T12:27:24.376222","indexId":"70140287","displayToPublicDate":"2015-01-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prevalence of toxin-producing Clostridium botulinum associated with the macroalga Cladophora in three Great Lakes: growth and management","title":"Prevalence of toxin-producing Clostridium botulinum associated with the macroalga Cladophora in three Great Lakes: Growth and management","docAbstract":"The reemergence of avian botulism caused by Clostridium botulinum type E has been observed across the Great Lakes in recent years. Evidence suggests an association between the nuisance algae, Cladophoraspp., and C. botulinum in nearshore areas of the Great Lakes. However, the nature of the association between Cladophora and C. botulinum is not fully understood due, in part, to the complex food web interactions in this disease etiology. In this study, we extensively evaluated their association by quantitatively examining population size and serotypes of C. botulinum in algal mats collected from wide geographic areas in lakes Michigan, Ontario, and Erie in 2011–2012 and comparing them with frequencies in other matrices such as sand and water. A high prevalence (96%) of C. botulinum type E was observed inCladophora mats collected from shorelines of the Great Lakes in 2012. Among the algae samples containing detectable C. botulinum, the population size of C. Botulinum type E was 100–104 MPN/g dried algae, which was much greater (up to 103 fold) than that found in sand or the water column, indicating thatCladophora mats are sources of this pathogen. Mouse toxinantitoxin bioassays confirmed that the putativeC. botulinum belonged to the type E serotype. Steam treatment was effective in reducing or eliminating C. botulinum type E viable cells in Cladophora mats, thereby breaking the potential transmission route of toxin up to the food chain. Consequently, our data suggest that steam treatment incorporated with a beach cleaning machine may be an effective treatment of Cladophora-borne C. botulinum and may reduce bird mortality and human health risks.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.12.080","usgsCitation":"Chun, C.L., Kahn, C.I., Borchert, A.J., Byappanahalli, M., Whitman, R.L., Peller, J.R., Pier, C., Lin, G., Johnson, E.A., and Sadowsky, M.J., 2015, Prevalence of toxin-producing Clostridium botulinum associated with the macroalga Cladophora in three Great Lakes: Growth and management: Science of the Total Environment, v. 511, p. 523-529, https://doi.org/10.1016/j.scitotenv.2014.12.080.","productDescription":"7 p.","startPage":"523","endPage":"529","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060741","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":297777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie, Lake Michigan, Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.715576171875,\n 45.89000815866184\n ],\n [\n -86.4404296875,\n 46.384833223492784\n ],\n [\n -88.978271484375,\n 44.071800467511565\n ],\n [\n -87.47314453125,\n 41.55792157780418\n ],\n [\n -86.407470703125,\n 41.89409955811395\n ],\n [\n -86.055908203125,\n 42.79540065303723\n ],\n [\n -84.715576171875,\n 45.89000815866184\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.507080078125,\n 41.705728515237524\n ],\n [\n -83.16650390625,\n 42.12267315117259\n ],\n [\n -81.243896484375,\n 42.706659563510385\n ],\n [\n -78.870849609375,\n 42.90816007196054\n ],\n [\n -79.07958984375,\n 42.52879629320373\n ],\n [\n -81.705322265625,\n 41.46742831254425\n ],\n [\n -83.056640625,\n 41.37680856570233\n ],\n [\n -83.507080078125,\n 41.705728515237524\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.837646484375,\n 43.28520334369384\n ],\n [\n -79.090576171875,\n 43.88205730390537\n ],\n [\n -76.519775390625,\n 44.32384807250689\n ],\n [\n -75.992431640625,\n 43.98491011404692\n ],\n [\n -76.22314453125,\n 43.48481212891603\n ],\n [\n -76.904296875,\n 43.229195113965005\n ],\n [\n -77.640380859375,\n 43.18915769654922\n ],\n [\n -78.42041015625,\n 43.36512572875844\n ],\n [\n -79.266357421875,\n 43.16512263158296\n ],\n [\n -79.82666015625,\n 43.25320494908846\n ],\n [\n -79.837646484375,\n 43.28520334369384\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"511","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2aa4e4b08de9379b315f","contributors":{"authors":[{"text":"Chun, Chan Lan","contributorId":43251,"corporation":false,"usgs":false,"family":"Chun","given":"Chan","email":"","middleInitial":"Lan","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":539941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kahn, Chase I.","contributorId":139078,"corporation":false,"usgs":false,"family":"Kahn","given":"Chase","email":"","middleInitial":"I.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":539942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borchert, Andrew J.","contributorId":139079,"corporation":false,"usgs":false,"family":"Borchert","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":539943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byappanahalli, Muruleedhara N. byappan@usgs.gov","contributorId":3324,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":539940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":539944,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peller, Julie R.","contributorId":48889,"corporation":false,"usgs":false,"family":"Peller","given":"Julie","email":"","middleInitial":"R.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":539945,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pier, Christina","contributorId":139080,"corporation":false,"usgs":false,"family":"Pier","given":"Christina","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":539946,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lin, Guangyun","contributorId":106774,"corporation":false,"usgs":false,"family":"Lin","given":"Guangyun","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":539947,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Eric A.","contributorId":80158,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":539948,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":539949,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70126408,"text":"ofr20141207 - 2015 - Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","interactions":[],"lastModifiedDate":"2015-01-26T13:05:44","indexId":"ofr20141207","displayToPublicDate":"2015-01-07T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1207","title":"Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","docAbstract":"The U.S. Geological Survey (USGS) has compiled a database consisting of three worksheets of central Appalachian basin natural gas analyses and isotopic compositions from published and unpublished sources of 1,282 gas samples from Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The database includes field and reservoir names, well and State identification number, selected geologic reservoir properties, and the composition of natural gases (methane; ethane; propane; butane, iso-butane [i-butane]; normal butane [n-butane]; iso-pentane [i-pentane]; normal pentane [n-pentane]; cyclohexane, and hexanes). In the first worksheet, location and American Petroleum Institute (API) numbers from public or published sources are provided for 1,231 of the 1,282 gas samples. A second worksheet of 186 gas samples was compiled from published sources and augmented with public location information and contains carbon, hydrogen, and nitrogen isotopic measurements of natural gas. The third worksheet is a key for all abbreviations in the database. The database can be used to better constrain the stratigraphic distribution, composition, and origin of natural gas in the central Appalachian basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141207","usgsCitation":"Roman Colon, Y.A., and Ruppert, L.F., 2015, Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases: U.S. Geological Survey Open-File Report 2014-1207, Report: iv, 13 p.; Appendix, https://doi.org/10.3133/ofr20141207.","productDescription":"Report: iv, 13 p.; Appendix","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040818","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":297038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141207.jpg"},{"id":297035,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1207/"},{"id":297036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1207/pdf/ofr2014-1207.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297037,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1207/appendix/ofr2014-1207_appendix1.xlsx","text":"Appendix 1","size":"738 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1","linkHelpText":"This is an electronic copy of Appendix 1 that contains three worksheets of central Appalachian Basin Natural Gas Analyses and Isotopic Compositions."}],"country":"United States","state":"Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia","otherGeospatial":"Appalachian basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ce4b08de9379b300c","contributors":{"authors":[{"text":"Roman Colon, Yomayra A.","contributorId":120751,"corporation":false,"usgs":true,"family":"Roman Colon","given":"Yomayra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":519550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70125302,"text":"sir20145180 - 2015 - Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","interactions":[],"lastModifiedDate":"2015-01-26T13:04:17","indexId":"sir20145180","displayToPublicDate":"2015-01-07T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5180","title":"Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","docAbstract":"Digital flood-inundation maps for a 39.7-mile reach of the Blue River and selected tributaries (Brush Creek, Indian Creek, and Dyke Branch) at Kansas City, Missouri, and vicinity, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Kansas City, Missouri. The flood-inundation maps, accessed through the USGS Flood-Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the spatial extent and depth of flooding corresponding to selected water levels (stages) at 15 reference streamgages and associated stream reaches in the Blue River Basin. Near-real-time stage data from the streamgages may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at selected sites.
\n\n
Flood profiles were computed for each of 15 reaches by means of one-dimensional or two-dimensional hydraulic models. The models were calibrated by using the current stage-streamflow relations at 10 USGS streamgages and documented high-water marks from the flood of June 14, 2010. Hydraulic models were then used to compute water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the National Weather Service Action stage, or near bankfull streamflow, through the stage corresponding to, or exceeding, the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood).
\n\n
The simulated water-surface profiles were then combined with a geographic information system (GIS) terrain model derived from light detection and ranging (lidar) data having a vertical accuracy of less than 0.6 foot and maximum nominal horizontal post spacing of 2.46–3.28 feet to delineate the area flooded at each 1-foot increment of stage. The availability of these flood-inundation maps, along with Internet information regarding current stage from the USGS streamgages and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.
\n\n
Additional information in this report includes maps of simulated stream velocity for an 8.2-mile, two-dimensional modeled reach of the Blue River and a Wetland Restoration Suitability Index (WRSI) generated for the study area that was based on hydrologic, topographic, and land-use digital feature layers. The calculated WRSI for the selected flood-plain area ranged from 1 (least suitable for possible wetland mitigation efforts) to 10 (most suitable for possible wetland mitigation efforts). A WRSI of 5 to 10 is most closely associated with existing riparian wetlands in the study area. The WRSI allows for the identification of lands along the Blue River and selected tributaries that are most suitable for restoration or creation of wetlands. Alternatively, the index can be used to identify and avoid disturbances to areas with the highest potential to support healthy sustainable riparian wetlands.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145180","usgsCitation":"Heimann, D.C., Kelly, B.P., and Studley, S.E., 2015, Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5180, Report: vii, 23 p.; 7 Tables; Geospatial Data Files, https://doi.org/10.3133/sir20145180.","productDescription":"Report: vii, 23 p.; 7 Tables; Geospatial Data Files","numberOfPages":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058050","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":297020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145180.jpg"},{"id":297016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5180/"},{"id":297017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5180/pdf/sir2014-5180.pdf","text":"Report","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297018,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/tables_sir2014-5180/","text":"Tables 1, 2, 3, 5, 6, and 8","description":"Tables"},{"id":297019,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/gis_data/","text":"Geospatial Data Files","description":"Geospatial Data Files","linkHelpText":"Contains flood-inundation shapefiles, water-depth grid files, and Wetland Restoration Suitability Index raster file"}],"country":"United States","state":"Missouri","city":"Kansas City","otherGeospatial":"Blue River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.63348388671875,\n 39.11407918425643\n ],\n [\n -94.48104858398438,\n 39.11407918425643\n ],\n [\n -94.48791503906249,\n 39.0373196521048\n ],\n [\n -94.64035034179688,\n 39.04265287290379\n ],\n [\n -94.63348388671875,\n 39.11407918425643\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a77e4b08de9379b3087","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":519491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Studley, Seth E. sstudley@usgs.gov","contributorId":5916,"corporation":false,"usgs":true,"family":"Studley","given":"Seth","email":"sstudley@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":519493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70137254,"text":"70137254 - 2015 - Coupling age-structured stock assessment and fish bioenergetics models: a system of time-varying models for quantifying piscivory patterns during the rapid trophic shift in the main basin of Lake Huron","interactions":[],"lastModifiedDate":"2015-01-07T10:02:46","indexId":"70137254","displayToPublicDate":"2015-01-07T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Coupling age-structured stock assessment and fish bioenergetics models: a system of time-varying models for quantifying piscivory patterns during the rapid trophic shift in the main basin of Lake Huron","docAbstract":"We quantified piscivory patterns in the main basin of Lake Huron during 1984–2010 and found that the biomass transfer from prey fish to piscivores remained consistently high despite the rapid major trophic shift in the food webs. We coupled age-structured stock assessment models and fish bioenergetics models for lake trout (Salvelinus namaycush), Chinook salmon (Oncorhynchus tshawytscha), walleye (Sander vitreus), and lake whitefish (Coregonus clupeaformis). The model system also included time-varying parameters or variables of growth, length–mass relations, maturity schedules, energy density, and diets. These time-varying models reflected the dynamic connections that a fish cohort responded to year-to-year ecosystem changes at different ages and body sizes. We found that the ratio of annual predation by lake trout, Chinook salmon, and walleye combined with the biomass indices of age-1 and older alewives (Alosa pseudoharengus) and rainbow smelt (Osmerus mordax) increased more than tenfold during 1987–2010, and such increases in predation pressure were structured by relatively stable biomass of the three piscivores and stepwise declines in the biomass of alewives and rainbow smelt. The piscivore stability was supported by the use of alternative energy pathways and changes in relative composition of the three piscivores. In addition, lake whitefish became a new piscivore by feeding on round goby (Neogobius melanostomus). Their total fish consumption rivaled that of the other piscivores combined, although fish were still a modest proportion of their diet. Overall, the use of alternative energy pathways by piscivores allowed the increases in predation pressure on dominant diet species.
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