Green Peter and Foster Dams on the Middle and South Santiam Rivers, Oregon, have altered the annual downstream water temperature profile (cycle). Operation of the dams has resulted in cooler summer releases and warmer autumn releases relative to pre-dam conditions, and that alteration can hinder recovery of various life stages of threatened spring-run Chinook salmon (Oncorhyncus tshawytscha) and winter steelhead (O. mykiss). Lake level management and the use of multiple outlets from varying depths at the dams can enable the maintenance of a temperature regime more closely resembling that in which the fish evolved by releasing warm surface water during summer and cooler, deeper water in the autumn. At Green Peter and Foster Dams, the outlet configuration is such that temperature control is often limited by hydropower production at the dams. Previously calibrated CE-QUAL-W2 water temperature models of Green Peter and Foster Lakes were used to simulate the downstream thermal effects from hypothetical structures and modified operations at the dams. Scenarios with no minimum power production requirements allowed some releases through shallower and deeper outlets (summer and autumn) to achieve better temperature control throughout the year and less year-to-year variability in autumn release temperatures. Scenarios including a hypothetical outlet floating 1 meter below the lake surface resulted in greater ability to release warm water during summer compared to existing structures. Later in Autumn (October 15–December 31), a limited amount of temperature control was realized downstream from Foster Dam by scenarios limited to operational changes with existing structures, resulting in 15-day averages within 1.0 degree Celsius of current operations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171063","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Portland District","usgsCitation":"Buccola, N.L., 2017, Water temperature effects from simulated changes to dam operations and structures in the Middle and South Santiam Rivers, Oregon: U.S. Geological Survey Open-File Report 2017–1063, 19 p., https://doi.org/10.3133/ofr20171063.","productDescription":"vi, 19 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-075753","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":341901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1063/coverthb.jpg"},{"id":341902,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1063/ofr20171063.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1063"}],"country":"United States","state":"Oregon","otherGeospatial":"Santiam River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.01940917968751,\n 44.213709909702054\n ],\n [\n -121.90979003906249,\n 44.213709909702054\n ],\n [\n -121.90979003906249,\n 44.914249368747086\n ],\n [\n -123.01940917968751,\n 44.914249368747086\n ],\n [\n -123.01940917968751,\n 44.213709909702054\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
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Geophysical tools have much to offer users in environmental, water resource, and geotechnical fields; however, techniques such as electrical resistivity imaging (ERI) are often oversold and/or overinterpreted due to a lack of understanding of the limitations of the techniques, such as the appropriate depth intervals or resolution of the methods. The relationship between ERI data and resistivity is nonlinear; therefore, these limitations depend on site conditions and survey design and are best assessed through forward and inverse modeling exercises prior to field investigations. In this approach, proposed field surveys are first numerically simulated given the expected electrical properties of the site, and the resulting hypothetical data are then analyzed using inverse models. Performing ERI forward/inverse modeling, however, requires substantial expertise and can take many hours to implement. We present a new spreadsheet-based tool, the Scenario Evaluator for Electrical Resistivity (SEER), which features a graphical user interface that allows users to manipulate a resistivity model and instantly view how that model would likely be interpreted by an ERI survey. The SEER tool is intended for use by those who wish to determine the value of including ERI to achieve project goals, and is designed to have broad utility in industry, teaching, and research.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12522","usgsCitation":"Terry, N., Day-Lewis, F.D., Robinson, J.L., Slater, L., Halford, K.J., Binley, A., Lane, J.W., and Werkema, D.D., 2017, Scenario Evaluator for Electrical Resistivity survey pre-modeling tool: Groundwater, v. 55, no. 6, p. 885-890, https://doi.org/10.1111/gwat.12522.","productDescription":"6 p.","startPage":"885","endPage":"890","ipdsId":"IP-085916","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":469814,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6145077","text":"External Repository"},{"id":438325,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7028PQ1","text":"USGS data release","linkHelpText":"Scenario Evaluator for Electrical Resistivity (SEER) Survey Design Tool"},{"id":341955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-23","publicationStatus":"PW","scienceBaseUri":"592fd631e4b0e9bd0ea89692","contributors":{"authors":[{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":696814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":696815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Judith L.","contributorId":152119,"corporation":false,"usgs":false,"family":"Robinson","given":"Judith","email":"","middleInitial":"L.","affiliations":[{"id":18871,"text":"Rutgers University-Newark, Dept. of Earth & Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":696816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slater, Lee D. 0000-0003-0292-746X","orcid":"https://orcid.org/0000-0003-0292-746X","contributorId":192555,"corporation":false,"usgs":false,"family":"Slater","given":"Lee D.","affiliations":[],"preferred":false,"id":696817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Binley, Andrew 0000-0002-0938-9070","orcid":"https://orcid.org/0000-0002-0938-9070","contributorId":192556,"corporation":false,"usgs":false,"family":"Binley","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":696819,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":696820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":696821,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70188897,"text":"70188897 - 2017 - Pliocene-Pleistocene water bodies and associated geologic deposits in Southern Israel and Southern Jordan","interactions":[],"lastModifiedDate":"2017-06-27T10:29:44","indexId":"70188897","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"Pliocene-Pleistocene water bodies and associated geologic deposits in Southern Israel and Southern Jordan","title":"Pliocene-Pleistocene water bodies and associated geologic deposits in Southern Israel and Southern Jordan","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quaternary of the Levant: Environments, Climate Change, and Humans","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1017/9781316106754","isbn":"9781107090460","usgsCitation":"Rech, J.A., Ginat, H., Catlett, G., Mischke, S., Winer-Tully, E., and Pigati, J., 2017, Pliocene-Pleistocene water bodies and associated geologic deposits in Southern Israel and Southern Jordan, chap. of Quaternary of the Levant: Environments, Climate Change, and Humans, p. 115-126, https://doi.org/10.1017/9781316106754.","productDescription":"11 p. ","startPage":"115","endPage":"126","ipdsId":"IP-063920","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":461545,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1017/9781316106754","text":"External Repository"},{"id":342953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Israel, Jordan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[34.9226,29.50133],[34.26543,31.21936],[34.55637,31.54882],[34.48811,31.60554],[34.75259,32.07293],[34.95542,32.82738],[35.09846,33.08054],[35.12605,33.0909],[35.46071,33.08904],[35.5528,33.26427],[35.8211,33.27743],[35.8364,32.86812],[35.7008,32.71601],[35.71992,32.70919],[36.83406,32.31294],[38.79234,33.37869],[39.19547,32.16101],[39.00489,32.01022],[37.00217,31.50841],[37.99885,30.5085],[37.66812,30.33867],[37.50358,30.00378],[36.74053,29.86528],[36.50121,29.50525],[36.06894,29.19749],[34.95604,29.35655],[34.9226,29.50133]]]},\"properties\":{\"name\":\"Israel\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59536ea7e4b062508e3c7a6d","contributors":{"editors":[{"text":"Enzel, Yehouda","contributorId":193584,"corporation":false,"usgs":false,"family":"Enzel","given":"Yehouda","email":"","affiliations":[],"preferred":false,"id":700887,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bar-Yosef, Ofer","contributorId":193585,"corporation":false,"usgs":false,"family":"Bar-Yosef","given":"Ofer","email":"","affiliations":[],"preferred":false,"id":700888,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rech, Jason A.","contributorId":117323,"corporation":false,"usgs":false,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":700872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginat, Hanan","contributorId":193579,"corporation":false,"usgs":false,"family":"Ginat","given":"Hanan","email":"","affiliations":[],"preferred":false,"id":700873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catlett, Gentry","contributorId":193580,"corporation":false,"usgs":false,"family":"Catlett","given":"Gentry","affiliations":[],"preferred":false,"id":700874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mischke, Steffen","contributorId":193581,"corporation":false,"usgs":false,"family":"Mischke","given":"Steffen","email":"","affiliations":[],"preferred":false,"id":700875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winer-Tully, Emily","contributorId":193582,"corporation":false,"usgs":false,"family":"Winer-Tully","given":"Emily","email":"","affiliations":[],"preferred":false,"id":700876,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":149825,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":700871,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188024,"text":"70188024 - 2017 - Steady state fractionation of heavy noble gas isotopes in a deep unsaturated zone","interactions":[],"lastModifiedDate":"2018-01-30T17:34:33","indexId":"70188024","displayToPublicDate":"2017-05-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Steady state fractionation of heavy noble gas isotopes in a deep unsaturated zone","docAbstract":"To explore steady state fractionation processes in the unsaturated zone (UZ), we measured argon, krypton, and xenon isotope ratios throughout a ∼110 m deep UZ at the United States Geological Survey (USGS) Amargosa Desert Research Site (ADRS) in Nevada, USA. Prior work has suggested that gravitational settling should create a nearly linear increase in heavy-to-light isotope ratios toward the bottom of stagnant air columns in porous media. Our high-precision measurements revealed a binary mixture between (1) expected steady state isotopic compositions and (2) unfractionated atmospheric air. We hypothesize that the presence of an unsealed pipe connecting the surface to the water table allowed for direct inflow of surface air in response to extensive UZ gas sampling prior to our first (2015) measurements. Observed isotopic resettling in deep UZ samples collected a year later, after sealing the pipe, supports this interpretation. Data and modeling each suggest that the strong influence of gravitational settling and weaker influences of thermal diffusion and fluxes of CO2 and water vapor accurately describe steady state isotopic fractionation of argon, krypton, and xenon within the UZ. The data confirm that heavy noble gas isotopes are sensitive indicators of UZ depth. Based on this finding, we outline a potential inverse approach to quantify past water table depths from noble gas isotope measurements in paleogroundwater, after accounting for fractionation during dissolution of UZ air and bubbles.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR019655","usgsCitation":"Seltzer, A.M., Severinghaus, J.P., Andraski, B.J., and Stonestrom, D.A., 2017, Steady state fractionation of heavy noble gas isotopes in a deep unsaturated zone: Water Resources Research, v. 53, no. 4, p. 2716-2732, https://doi.org/10.1002/2016WR019655.","productDescription":"17 p.","startPage":"2716","endPage":"2732","ipdsId":"IP-078005","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":469820,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019655","text":"Publisher Index Page"},{"id":341817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","county":"Nye County","otherGeospatial":"Amargosa Desert Research Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.69602632522582,\n 36.76556695045376\n ],\n [\n -116.68630599975586,\n 36.76556695045376\n ],\n [\n -116.68630599975586,\n 36.76969233214548\n ],\n [\n -116.69602632522582,\n 36.76969233214548\n ],\n [\n -116.69602632522582,\n 36.76556695045376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"592d8edce4b08f9d15be7b79","contributors":{"authors":[{"text":"Seltzer, Alan M.","contributorId":192321,"corporation":false,"usgs":false,"family":"Seltzer","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Severinghaus, Jeffrey P.","contributorId":140715,"corporation":false,"usgs":false,"family":"Severinghaus","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":696222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":696223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":696220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187585,"text":"sir20175042 - 2017 - Measuring surface-water loss in Honouliuli Stream near the ‘Ewa Shaft, O‘ahu, Hawai‘i","interactions":[],"lastModifiedDate":"2017-06-22T16:30:24","indexId":"sir20175042","displayToPublicDate":"2017-05-30T00:00:00","publicationYear":"2017","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":"2017-5042","title":"Measuring surface-water loss in Honouliuli Stream near the ‘Ewa Shaft, O‘ahu, Hawai‘i","docAbstract":"The Honolulu Board of Water Supply is currently concerned with the possibility of bacteria in the pumped water of the ‘Ewa Shaft (State well 3-2202-21). Groundwater from the ‘Ewa Shaft could potentially be used to meet future potable water needs in the ‘Ewa area on the island of O‘ahu. The source of the bacteria in the pumped water is unknown, although previous studies indicate that surface water may be lost to the subsurface near the site. The ‘Ewa Shaft consists of a vertical shaft, started near the south bank of Honouliuli Stream at an altitude of about 161 feet, and two horizontal infiltration tunnels near sea level. The shaft extracts groundwater from near the top of the freshwater lens in the Waipahu-Waiawa aquifer system within the greater Pearl Harbor Aquifer Sector, a designated Water Management Area.
The surface-water losses were evaluated with continuous groundwater-level data from the ‘Ewa Shaft and a nearby monitoring well, continuous stream-discharge data from U.S. Geological Survey streamflow-gaging station 16212490 (Honouliuli Stream at H-1 Freeway near Waipahu), and seepage-run measurements in Honouliuli Stream and its tributary. During storms, discharge at the Honouliuli Stream gaging station increases and groundwater levels at ‘Ewa Shaft and a nearby monitoring well also increase. The concurrent increase in water levels at ‘Ewa Shaft and the nearby monitoring well during storms indicates that regional groundwater-level changes related to increased recharge, reduced withdrawals (due to a decrease in demand during periods of rainfall), or both may be occurring; although these data do not preclude the possibility of local recharge from Honouliuli Stream. Discharge measurements from two seepage runs indicate that surface water in the immediate area adjacent to ‘Ewa Shaft infiltrates into the streambed and may later reach the groundwater system developed by the ‘Ewa Shaft. The estimated seepage loss rates in the vicinity of ‘Ewa Shaft from the two seepage runs generally ranged from 0.27 to 1.78 million gallons per day per mile of stream reach; although higher seepage rates may occur during periods of higher discharge in Honouliuli Stream. A potential source of bacteria in ‘Ewa Shaft maybe related to seepage from Honouliuli Stream; however, other sources of bacteria were not studied and cannot be excluded.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175042","collaboration":"Prepared in cooperation with the Honolulu Board of Water Supply","usgsCitation":"Rosa, S.N., 2017, Measuring surface-water loss in Honouliuli Stream near the ‘Ewa Shaft, O‘ahu, Hawai‘i: U.S. Geological Survey Scientific Investigations Report 2017–5042, 14 p., https://doi.org/10.3133/sir20175042.","productDescription":"vi, 16 p.","onlineOnly":"Y","ipdsId":"IP-082480","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":341865,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5042/coverthb.jpg"},{"id":341867,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5042/sir20175042.pdf","text":"Report","size":"2.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5042"}],"country":"United States","state":"Hawaii","otherGeospatial":"O‘ahu, Wai‘anae Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.0667,\n 21.3625\n ],\n [\n -158.0083,\n 21.3625\n ],\n [\n -158.0083,\n 21.4833\n ],\n [\n -158.0667,\n 21.4833\n ],\n [\n -158.0667,\n 21.3625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
A lotic mesocosm study was carried out in 20-m-long channels, under continuous, environmentally realistic concentrations of copper (Cu) in low, medium, and high exposures (nominally 0, 5, 25, and 75 μg L−1; average effective concentrations <0.5, 4, 20, and 57 μg L−1 respectively) for 18 mo. Total abundance, taxa richness, and community structure of zooplankton, macroinvertebrates, and emerging insects were severely affected at Cu treatment levels of 25 and 75 μg L−1. Some taxa were sensitive to Cu, including gastropods such as Lymnaea spp. and Physasp., crustaceans such as Chydorus sphaericus, Gammarus pulex, and Asellus aquaticus, rotifers such as Mytilina sp. and Trichocerca sp., leeches such as Erpobdella sp., and the emergence of dipteran insects such as Chironomini. Other taxa appeared to be tolerant or favored by indirect effects, as in Chironimidae larvae, the emergence of Orthocladiinae, and the zooplankter Vorticella sp., which increased in the 25 and 75 μg L−1 treatments. After approximately 8 mo of Cu exposure, the macroinvertebrate community in the high treatment was decimated to the point that few organisms could be detected, with moderate effects in the medium treatment, and very slight effects in the low-Cu treatment. Subsequently, most taxa in the high-Cu exposure began a gradual and partial recovery. By the end of the study at 18 mo, macroinvertebrate taxa richness was similar to control richness, although overall abundances remained lower than controls. After 18 mo of copper exposure, a no-observed-effect concentration at the community level for consumers was set at 5 μg L−1 (4 μg L−1 as average effective concentration), and a lowest-observed-effect concentration at 25 μg L−1(20 μg L−1 as average effective concentration).
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ETC.3822","usgsCitation":"Joachim, S., Roussel, H., Bonzom, J., Thybaud, E., Mebane, C.A., Brink, P.V., and Gauthier, L., 2017, A long-term copper exposure in a freshwater ecosystem using lotic mesocosms: Invertebrate community responses: Environmental Toxicology and Chemistry, v. 36, no. 10, p. 2698-2714, https://doi.org/10.1002/ETC.3822.","productDescription":"17 p.","startPage":"2698","endPage":"2714","ipdsId":"IP-078992","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":488065,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/A_long-term_copper_exposure_on_freshwater_ecosystem_using_lotic_mesocosms_-_Invertebrate_community_responses/4769635","text":"External Repository"},{"id":346929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-01","publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d1fc","contributors":{"authors":[{"text":"Joachim, Sandrine","contributorId":197505,"corporation":false,"usgs":false,"family":"Joachim","given":"Sandrine","email":"","affiliations":[],"preferred":false,"id":713643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roussel, Helene","contributorId":197506,"corporation":false,"usgs":false,"family":"Roussel","given":"Helene","email":"","affiliations":[],"preferred":false,"id":713644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonzom, Jean-Marc","contributorId":197507,"corporation":false,"usgs":false,"family":"Bonzom","given":"Jean-Marc","email":"","affiliations":[],"preferred":false,"id":713645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thybaud, Eric","contributorId":197508,"corporation":false,"usgs":false,"family":"Thybaud","given":"Eric","email":"","affiliations":[],"preferred":false,"id":713646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brink, Paul Van den","contributorId":197509,"corporation":false,"usgs":false,"family":"Brink","given":"Paul","email":"","middleInitial":"Van den","affiliations":[],"preferred":false,"id":713647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gauthier, Laury","contributorId":197510,"corporation":false,"usgs":false,"family":"Gauthier","given":"Laury","email":"","affiliations":[],"preferred":false,"id":713648,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211701,"text":"70211701 - 2017 - Sedimentological and petrographic analysis of drill core FC77-1 from the flank of the central uplift, Flynn Creek impact structure, Tennessee","interactions":[],"lastModifiedDate":"2020-08-07T13:55:50.807872","indexId":"70211701","displayToPublicDate":"2017-05-26T08:50:06","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5996,"text":"Meteoritics & Planetary Science (MAPS)","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentological and petrographic analysis of drill core FC77-1 from the flank of the central uplift, Flynn Creek impact structure, Tennessee","docAbstract":"Drill core FC 77‐1 on the flank of the central uplift, Flynn Creek impact structure, Tennessee, contains 175 m of impact breccia lying upon uplifted Lower Paleozoic carbonate target stratigraphy. Sedimentological analysis of this 175‐m interval carbonate breccia shows that there are three distinct sedimentological units. In stratigraphic order, unit 1 (175–109 m) is an overall coarsening‐upward section, whereas the overlying unit 2 (109–32 m) is overall fining‐upward. Unit 3 (32–0 m) is a coarsening‐upward sequence that is truncated at the top by postimpact erosion. Units 1 and 3 are interpreted as debris or rock avalanches into finer sedimentary deposits within intracrater marine waters, thus producing progressively coarser, coarsening‐upward sequences. Unit 2 is interpreted to have formed by debris or rock avalanches into standing marine waters, thus forming sequential fining‐upward deposits. Line‐logging of clasts ranging from 5 mm to 1.6 m, and thin‐section analysis of selected drill core samples (including clasts < 5 mm), both show that the Flynn Creek impact breccia consists almost entirely of dolostone clasts (90%), with minor components of cryptocrystalline melt clasts, chert and shale fragments, and clastic grains. Cryptocrystalline melt clasts, which appear isotropic in thin section, are in fact made of exceedingly fine quartz crystals that exhibit micro‐Fourier transform infrared (FTIR ) and micro‐Raman spectra consistent with crystalline quartz. These cryptocrystalline melt clasts are the first melt clasts of any kind to be reported from Flynn Creek impact structure.
Drift studies are central to stream and river ecological research. However, a fundamental aspect of quantifying drift — how net clogging affects the accuracy of results — has been widely ignored. Utilizing approaches from plankton and suspended sediment studies in oceanography and hydrology, we examined the rate and dynamics of net clogging across a range of conditions. We found that nets clog nonlinearly over time and that suspended solid concentrations and net mesh size exerted a strong effect on clogging rates. Critically, net clogging introduced unpredictable biases in resultant data due to the inaccuracies in water volume estimates introduced by progressive clogging. This renders the widespread approach to linearly “correct” for clogging inadequate. Using a meta-analysis of 77 drift studies spanning 25 years, we demonstrate that the detrimental effects of net clogging are routinely unappreciated, even though the results of most of these studies were likely affected by clogging. We close by describing an approach for avoiding net clogging, which will increase the accuracy and reproducibility of results in future freshwater, lotic drift studies.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0365","usgsCitation":"Muehlbauer, J.D., Kennedy, T., Copp, A.J., and Sabol, T.A., 2017, Deleterious effects of net clogging on the quantification of stream drift: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 7, p. 1041-1048, https://doi.org/10.1139/cjfas-2016-0365.","productDescription":"8 p.","startPage":"1041","endPage":"1048","ipdsId":"IP-078467","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469823,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0365","text":"External Repository"},{"id":438329,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71J97WD","text":"USGS data release","linkHelpText":"Stream Drift Sampling in Arizona, 2014Data"},{"id":341792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076de","contributors":{"authors":[{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":696165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copp, Adam J. 0000-0001-7385-0055 acopp@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-0055","contributorId":5194,"corporation":false,"usgs":true,"family":"Copp","given":"Adam","email":"acopp@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187974,"text":"70187974 - 2017 - Formation of Fe-Mn crusts within a continental margin environment","interactions":[],"lastModifiedDate":"2017-05-26T11:18:24","indexId":"70187974","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Formation of Fe-Mn crusts within a continental margin environment","docAbstract":"This study examines Fe-Mn crusts that form on seamounts along the California continental-margin (CCM), within the United States 200 nautical mile exclusive economic zone. The study area extends from approximately 30° to 38° North latitudes and from 117° to 126° West longitudes. The area of study is a tectonically active northeast Pacific plate boundary region and is also part of the North Pacific Subtropical Gyre with currents dominated by the California Current System. Upwelling of nutrient-rich water results in high primary productivity that produces a pronounced oxygen minimum zone. Hydrogenetic Fe-Mn crusts forming along the CCM show distinct chemical and mineral compositions compared to open-ocean crusts. On average, CCM crusts contain more Fe relative to Mn than open-ocean Pacific crusts. The continental shelf and slope release both Fe and Mn under low-oxygen conditions. Silica is also enriched relative to Al compared to open-ocean crusts. This is due to the North Pacific silica plume and enrichment of Si along the path of deep-water circulation, resulting in Si enrichment in bottom and intermediate waters of the eastern Pacific.
The CCM Fe-Mn crusts have a higher percentage of birnessite than open-ocean crusts, reflecting lower dissolved seawater oxygen that results from the intense coastal upwelling and proximity to zones of continental slope pore-water anoxia. Carbonate fluorapatite (CFA) is not present and CCM crusts do not show evidence of phosphatization, even in the older sections. The mineralogy indicates a suboxic environment under which birnessite forms, but in which pH is not high enough to facilitate CFA deposition. Growth rates of CCM crusts generally increase with increasing water depth, likely due to deep-water Fe sources mobilized from reduced shelf and slope sediments.
Many elements of economic interest including Mn, Co, Ni, Cu, W, and Te have slightly or significantly lower concentrations in CCM crusts relative to crusts from the Pacific Prime Crust Zone and other open-ocean basins. However, concentrations of total rare earth elements and yttrium average only slightly lower contents and in the future may be a strategic resource for the U.S.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.09.010","collaboration":"James R. Hein;","usgsCitation":"Conrad, T.A., Hein, J., Paytan, A., and Clague, D.A., 2017, Formation of Fe-Mn crusts within a continental margin environment: Ore Geology Reviews, v. 87, p. 25-40, https://doi.org/10.1016/j.oregeorev.2016.09.010.","productDescription":"16 p.","startPage":"25","endPage":"40","ipdsId":"IP-074776","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341798,"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 -126,\n 30\n ],\n [\n -117,\n 30\n ],\n [\n -117,\n 38\n ],\n [\n -126,\n 38\n ],\n [\n -126,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e94e4b016f7a94076f6","contributors":{"authors":[{"text":"Conrad, Tracey A. 0000-0002-2648-5451","orcid":"https://orcid.org/0000-0002-2648-5451","contributorId":192284,"corporation":false,"usgs":false,"family":"Conrad","given":"Tracey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. jhein@usgs.gov","contributorId":140283,"corporation":false,"usgs":true,"family":"Hein","given":"James R.","email":"jhein@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paytan, Adina","contributorId":75242,"corporation":false,"usgs":true,"family":"Paytan","given":"Adina","affiliations":[],"preferred":false,"id":696132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clague, David A.","contributorId":77105,"corporation":false,"usgs":false,"family":"Clague","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189009,"text":"70189009 - 2017 - Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak","interactions":[],"lastModifiedDate":"2017-07-12T10:25:34","indexId":"70189009","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak","docAbstract":"During the 2015 outbreak of highly pathogenic avian influenza virus\n(HPAI) on poultry farms in the midwestern United States, concern was raised\nabout the potential for HPAI to contaminate groundwater. Our study objective was to evaluate the occurrence of HPAI in the groundwater supply wells on 13 outbreak-affected poultry farms in Iowa and Wisconsin. We sampled 20 wells, six waste-storage lagoons, and one pond. Three wells and one lagoon were positive for the matrix gene indicative of influenza A virus. Using a semi-nested qPCR assay specific to the H5 HPAI outbreak strain, one well was H5-positive, matching the outbreak virus hemagglutinin gene. Matrix gene-positive samples analyzed for avian influenza virus (AIV) by cell culture and embryonating egg culture were negative. Seven wells were positive by PCR for a poultry-specific parvovirus, thus providing corroborating evidence of virus transport pathways between poultry fecal wastes and groundwater. Our data suggest it is possible for AIV to be transported to groundwater, and during an outbreak, the potential for poultry farm wells to become contaminated with AIV should be considered.","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.estlett.7b00128","usgsCitation":"Borchardt, M.A., Spencer, S.K., Hubbard, L.E., Firnstahl, A.D., Stokdyk, J.P., and Kolpin, D.W., 2017, Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak: Environmental Science & Technology Letters, v. 4, no. 7, p. 268-272, https://doi.org/10.1021/acs.estlett.7b00128.","productDescription":"5 p.","startPage":"268","endPage":"272","ipdsId":"IP-078487","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":343120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, 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\"}}]}","volume":"4","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-31","publicationStatus":"PW","scienceBaseUri":"595611b2e4b0d1f9f050674b","contributors":{"authors":[{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":702406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":702407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702410,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187987,"text":"70187987 - 2017 - Doubling of coastal flooding frequency within decades due to sea-level rise","interactions":[],"lastModifiedDate":"2017-05-26T10:58:06","indexId":"70187987","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Doubling of coastal flooding frequency within decades due to sea-level rise","docAbstract":"Global climate change drives sea-level rise, increasing the frequency of coastal flooding. In most coastal regions, the amount of sea-level rise occurring over years to decades is significantly smaller than normal ocean-level fluctuations caused by tides, waves, and storm surge. However, even gradual sea-level rise can rapidly increase the frequency and severity of coastal flooding. So far, global-scale estimates of increased coastal flooding due to sea-level rise have not considered elevated water levels due to waves, and thus underestimate the potential impact. Here we use extreme value theory to combine sea-level projections with wave, tide, and storm surge models to estimate increases in coastal flooding on a continuous global scale. We find that regions with limited water-level variability, i.e., short-tailed flood-level distributions, located mainly in the Tropics, will experience the largest increases in flooding frequency. The 10 to 20 cm of sea-level rise expected no later than 2050 will more than double the frequency of extreme water-level events in the Tropics, impairing the developing economies of equatorial coastal cities and the habitability of low-lying Pacific island nations.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-017-01362-7","usgsCitation":"Vitousek, S., Barnard, P., Fletcher, C., Frazer, N., Erikson, L.H., and Storlazzi, C., 2017, Doubling of coastal flooding frequency within decades due to sea-level rise: Scientific Reports, v. 7, p. 1-9, https://doi.org/10.1038/s41598-017-01362-7.","productDescription":"Article number: 1399; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-066932","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-01362-7","text":"Publisher Index Page"},{"id":341793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076e3","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Charles H.","contributorId":30286,"corporation":false,"usgs":true,"family":"Fletcher","given":"Charles H.","affiliations":[],"preferred":false,"id":696160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frazer, Neil","contributorId":192305,"corporation":false,"usgs":false,"family":"Frazer","given":"Neil","email":"","affiliations":[],"preferred":false,"id":696161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696163,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186909,"text":"ofr20161131 - 2017 - Water-quality and lake-stage data for Wisconsin lakes, water year 2014","interactions":[],"lastModifiedDate":"2018-02-06T11:46:47","indexId":"ofr20161131","displayToPublicDate":"2017-05-25T15:45:00","publicationYear":"2017","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":"2016-1131","title":"Water-quality and lake-stage data for Wisconsin lakes, water year 2014","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a database for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series. The locations of water-quality and lake-stage stations in Wisconsin for water year 2014 are shown in figure 1. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period
October 1, 2013, through September 30, 2014, is called “water year 2014.”
The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes. Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are included in this report. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus, and chlorophyll a concentrations collected during nonfrozen periods are included for many lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes the location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are published online at http://nwis.waterdata.usgs.gov/wi/nwis.
Water-resources data, including stage and discharge data at most streamflow-gaging stations, are available online. The Wisconsin Water Science Center’s home page is at https://www.usgs.gov/centers/wisconsin-water-science-center. Information about the Wisconsin Water Science Center’s Lakes Program is found at http://wi.water.usgs.gov/lakes/index.html and http://wi.water.usgs.gov/projects/index.html.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161131","collaboration":"Prepared in cooperation with the State of Wisconsin and local agencies","usgsCitation":"Manteufel, S.B., and Robertson, D.M., 2017, Water-quality and lake-stage data for Wisconsin lakes, water year 2014: U.S. Geological Survey Open-File Report 2016–1131, 170 p., https://doi.org/10.3133/ofr20161131.","productDescription":"vii, 161 p.","numberOfPages":"172","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066232","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":341511,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/ofr20161050","text":"Open-File Report 2016-1050","linkHelpText":"- Water Quality and Lake-Stage Data for Wisconsin Lakes, Water Years 2012–2013"},{"id":341503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1131/coverthb.jpg"},{"id":341504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1131/ofr20161131.pdf","text":"Report","size":"2.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1131"}],"country":"United 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\"}}]}","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series. The locations of water-quality and lake-stage stations in Wisconsin for water year 2012 are shown in figure 1. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2011 through September 30, 2012, is called “water year 2012.”
The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes. Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are included in this report. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll a concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are published online at http://nwis.waterdata.usgs.gov/wi/nwis.
Water-resources data, including stage and discharge data at most streamflow-gaging stations, are available online. The Wisconsin Water Science Center’s home page is at https://www.usgs.gov/centers/wisconsin-water-science-center. Information on the Wisconsin Water Science Center’s Lakes Program is found at http://wi.water.usgs.gov/lakes/index.html and http://wi.water.usgs.gov/projects/index.html.
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\"}}]}","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
U.S. Geological Survey scientists and technical support staff measured oceanographic, waterquality, seabed-elevation-change, and meteorological parameters in Chincoteague Bay, Maryland and Virginia, during the period of August 13, 2014, to July 14, 2015, as part of the Estuarine Physical Response to Storms project (GS2–2D) supported by the Department of the Interior Hurricane Sandy recovery program. These measurements provide time series data that quantify the response and can be used to better understand the resilience of this back-barrier estuarine system to storms. The Assateague Island National Seashore (National Park Service) and the Chincoteague National Wildlife Refuge (U.S. Fish and Wildlife Service) are on the east side of Chincoteague Bay.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171032","usgsCitation":"Suttles, S.E., Ganju, N.K, Brosnahan, S.M., Montgomery, E.T., Dickhudt, P.J., Beudin, Alexis, Nowacki, D.J., and Martini, M.A., 2017, Summary of oceanographic and water-quality measurements in Chincoteague Bay, Maryland and Virginia, 2014–15: U.S. Geological Survey Open-File Report 2017–1032, 95 p., https://doi.org/10.3133/ofr20171032.","productDescription":"xii, 95 p.","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-079627","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341661,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DF6PBV","text":"USGS data release","description":"USGS data release","linkHelpText":"Oceanographic and water-quality measurements in Chincoteague Bay, Maryland/Virginia, 2014–2015 "},{"id":341660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1032/ofr20171032.pdf","text":"Report","size":"25.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1032"},{"id":338262,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1032/coverthb.jpg"},{"id":341663,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WD3XSF","text":"USGS data release","description":"USGS data release","linkHelpText":"Water samples in support of oceanographic and water-quality measurements in Chincoteague Bay, Maryland and Virginia, 2014–15, U.S. Geological Survey Field Activity 2014-048-FA"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chincoteague Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.05996704101562,\n 38.34273329203372\n ],\n [\n -75.11489868164062,\n 38.36857886877816\n ],\n [\n -75.23300170898438,\n 38.28885871419223\n ],\n [\n -75.35110473632812,\n 38.13455657705411\n ],\n [\n -75.52001953125,\n 37.90194871393947\n ],\n [\n -75.38681030273436,\n 37.826056694926535\n ],\n [\n -75.16021728515624,\n 38.08160859009049\n ],\n [\n -75.05996704101562,\n 38.34273329203372\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Woods Hole Coastal and Marine Science Center
U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543
Glen Canyon Dam is a large dam on the Colorado River in Arizona. In September 2013, it released turbid water following intense thunderstorms in the surrounding area. Turbidity was >15 nephelometric turbidity units (NTU) for multiple days and >30 NTU at its peak. These unprecedented turbid releases impaired downstream fishing activity and motivated a rapid-response field excursion. At 5 locations upstream from the dam, temperature, specific conductance, dissolved oxygen, chlorophyll a, and turbidity were measured in vertical profiles. Local streamflow and rainfall records were retrieved, and turbidity and specific conductance data in dam releases were evaluated. Profiling was conducted to determine possible sources of turbidity from 3 tributaries nearest the dam, Navajo, Antelope, and Wahweap creeks, which entered Lake Powell as interflows during this study. We discuss 4 key conditions that must have been met for tributaries to influence turbidity of dam releases: tributary flows must have reached the dam, tributary flows must have been laden with sediment, inflow currents must have been near the depth of dam withdrawals, and the settling velocity of particles must have been slow. We isolate 2 key uncertainties that reservoir managers should resolve in future similar studies: the reach of tributary water into the reservoir thalweg and the distribution of particle size of suspended sediment. These uncertainties leave the source of the turbidity ambiguous, although an important role for Wahweap Creek is possible. The unique combination of limnological factors we describe implies that turbid releases at Glen Canyon Dam will continue to be rare.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2017.1293756","usgsCitation":"Wildman, R.A., and Vernieu, W., 2017, Turbid releases from Glen Canyon Dam, Arizona, following rainfall-runoff events of September 2013: Lake and Reservoir Management, v. 33, no. 3, p. 211-216, https://doi.org/10.1080/10402381.2017.1293756.","productDescription":"6 p.","startPage":"211","endPage":"216","ipdsId":"IP-064015","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":341772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.49578094482422,\n 36.92958567631005\n ],\n [\n -111.37184143066406,\n 36.92958567631005\n ],\n [\n -111.37184143066406,\n 37.00063338417457\n ],\n [\n -111.49578094482422,\n 37.00063338417457\n ],\n [\n -111.49578094482422,\n 36.92958567631005\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-24","publicationStatus":"PW","scienceBaseUri":"5927ed24e4b09c77323ac73a","contributors":{"authors":[{"text":"Wildman, Richard A. Jr.","contributorId":192278,"corporation":false,"usgs":false,"family":"Wildman","given":"Richard","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vernieu, William bvernieu@usgs.gov","contributorId":2546,"corporation":false,"usgs":true,"family":"Vernieu","given":"William","email":"bvernieu@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696121,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187929,"text":"70187929 - 2017 - Frogs on the beach: Ecology of California Red-legged Frogs (Rana draytonii) in coastal dune drainages","interactions":[],"lastModifiedDate":"2017-05-26T10:32:14","indexId":"70187929","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Frogs on the beach: Ecology of California Red-legged Frogs (Rana draytonii) in coastal dune drainages","docAbstract":"California Red-legged Frogs (Rana draytonii) are typically regarded as inhabitants of permanent ponds, marshes, and slow-moving streams, but their ecology in other habitats, such as drainages among coastal dunes, remains obscure. Because coastal dune ecosystems have been degraded by development, off-highway vehicle use, stabilization, and invasive species, these unique ecosystems are the focus of restoration efforts. To better understand the ecology of California Red-legged Frogs in coastal dune ecosystems and to avoid and minimize potential negative effects of dune restoration activities on these rare frogs, we studied their spatial ecology, habitat selection, and survival in coastal dune drainages at Point Reyes National Seashore, California, USA. All 22 radio-marked frogs remained in their home drainages throughout the spring and summer of 2015 and, with some notable exceptions, most remained close to water. Local convex hull home ranges of four out of five California Red-legged Frogs with > 20 observations in dunes were < 1,600 m2 . At the population level, frogs were 1.7 (95% credible interval, 1.2‒4.4) times more likely to select sites 1 m closer to water, and were 83 (2.0‒17,000) times more likely to select sites with 10% greater percentage cover of logs that served as refuges from environmental extremes and predators. On average, California Red-legged Frogs avoided the invasive plants Iceplant (Carpobrotus edulis) and European Beachgrass (Ammophila arenaria). Frogs were 0.68 (0.32‒0.89) and 0.55 (0.24‒0.75) times as likely to select areas that had 10% greater cover of these plants, respectively. Assuming constant risk of mortality, California Redlegged Frogs had an annual survival rate of 0.70 (0.27‒0.96) in coastal dune drainages. Our results indicate that coastal dune drainages provide a locally important habitat for California Red-legged Frogs. Restoration practices that maintain wetted drainages with logjams are likely to benefit California Red-legged Frogs.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Halstead, B., and Kleeman, P.M., 2017, Frogs on the beach: Ecology of California Red-legged Frogs (Rana draytonii) in coastal dune drainages: Herpetological Conservation and Biology, v. 12, no. 1, p. 127-140.","productDescription":"14 p.","startPage":"127","endPage":"140","ipdsId":"IP-080617","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":341765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341678,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol12_issue1.html"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5927ed26e4b09c77323ac74e","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":696021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":696022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187899,"text":"sir20175027 - 2017 - Response of currents and water quality to changes in dam operations in Hoover Reservoir, Columbus, Ohio, August 24–28, 2015","interactions":[],"lastModifiedDate":"2017-05-26T12:29:50","indexId":"sir20175027","displayToPublicDate":"2017-05-25T00:00:00","publicationYear":"2017","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":"2017-5027","title":"Response of currents and water quality to changes in dam operations in Hoover Reservoir, Columbus, Ohio, August 24–28, 2015","docAbstract":"Hoover Reservoir, an important drinking water supply for the City of Columbus, Ohio, has been the source of a series of taste and odor problems in treated drinking water during the past few years. These taste and odor problems were caused by the compounds geosmin and 2-methylisoborneol, which are thought to have been related to cyanobacteria blooms. In an effort to reduce the phosphorus available for cyanobacteria blooms at fall turnover, the City of Columbus began experimenting with the dam’s selective withdrawal system to remove excess phosphorus in the hypolimnion, which is released from bottom sediments during summer anoxic conditions.
The U.S. Geological Survey completed two synoptic survey campaigns to assess distributions of water quality and water velocity in the lower part of Hoover Reservoir to provide information on the changes to reservoir dynamics caused by changing dam operations. One campaign (campaign 1) was done while water was being withdrawn from the reservoir through the dam’s middle gate and the other (campaign 2) while water was being withdrawn through the dam’s lower gate. Velocities were measured using an acoustic Doppler current profiler, and water-quality parameters were measured using an autonomous underwater vehicle equipped with water-quality sensors. Along with the water-quality and water-velocity data, meteorological, inflow and outflow discharges, and independent water-quality data were compiled to monitor changes in other parameters that affect reservoir behavior. Monthly nutrient data, collected by the City of Columbus, were also analyzed for trends in concentration during periods of expected stratification.
Based on the results of the two campaigns, when compared to withdrawing water through the middle gate, withdrawing water through the lower gate seemed to increase shear-driven mixing across the thermocline, which resulted in an increase in the depth of the epilimnion throughout the lower part of Hoover Reservoir. The observations from this study, if repeatable and driven primarily by changes in gate operations, can inform nutrient management strategies for Hoover Reservoir. Increased mixing across the thermocline may potentially supply nutrients from the hypolimnion to algae in the epilimnion. Although operation of the lower gate has the potential to export nutrients from the hypolimnion (where the concentrations of nutrients have typically been higher during summer months) through two mechanisms (direct withdrawal and mixing into the epilimnion), supply of nutrients to the epilimnion through enhanced mixing could lead to a short-term increase in algal populations. Therefore, further study is recommended to (1) test the repeatability of the results of gate changes on water-quality distributions and circulation patterns in lower Hoover Reservoir, (2) identify the immediate effect of gate changes on nutrient concentrations in the water column, and (3) identify the best management practices to reduce the nutrient storage in the hypolimnion of Hoover Reservoir without increasing the potential for nutrient transport to the highly productive epilimnion.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175027","usgsCitation":"Vonins, B.L., and Jackson, P.R., 2017, Response of currents and water quality to changes in dam operations in Hoover Reservoir, Columbus, Ohio, August 24–28, 2015: U.S. Geological Survey Scientific Investigations Report 2017–5027, 62 p., https://doi.org/10.3133/sir20175027.","productDescription":"Report: vii, 61 p.; Data Release","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-080214","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":438332,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75X271K","text":"USGS data release","linkHelpText":"Survey of velocity and bathymetery in Hoover Reservoir, ADCP source data, Columbus, OH (August, 2015)"},{"id":341790,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70863D8","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Three-dimensional point measurements of basic water-quality parameters in Hoover Reservoir near Westerville, Ohio, August 25 and 27, 2015"},{"id":341771,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F75X271K","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Survey of velocity and bathymetry in Hoover Reservoir, ADCP source data, Columbus, OH (August, 2015)"},{"id":341700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5027/sir20175027.pdf","text":"Report","size":"55.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5027"},{"id":341699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5027/coverthb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Hoover Dam, Hoover Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.91999816894531,\n 39.989221102071994\n ],\n [\n -82.83004760742188,\n 39.989221102071994\n ],\n [\n -82.83004760742188,\n 40.25647271628502\n ],\n [\n -82.91999816894531,\n 40.25647271628502\n ],\n [\n -82.91999816894531,\n 39.989221102071994\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio Water Science Center
U.S. Geological Survey
6460 Busch Blvd.
STE 100
Columbus, OH 43229–1737
The Laurentian Great Lakes of North America provide valuable ecosystem services, including fisheries, to the surrounding population. Given the prevalence of other anthropogenic stressors that have historically affected the fisheries of the Great Lakes (e.g., eutrophication, invasive species, overfishing), climate change is often viewed as a long-term stressor and, subsequently, may not always be prioritized by managers and researchers. However, climate change has the potential to negatively affect fish and fisheries in the Great Lakes through its influence on habitat. In this paper, we (1) summarize projected changes in climate and fish habitat in the Great Lakes; (2) summarize fish responses to climate change in the Great Lakes; (3) describe key interactions between climate change and other stressors relevant to Great Lakes fish, and (4) summarize how climate change can be incorporated into fisheries management. In general, fish habitat is projected to be characterized by warmer temperatures throughout the water column, less ice cover, longer periods of stratification, and more frequent and widespread periods of bottom hypoxia in productive areas of the Great Lakes. Based solely on thermal habitat, fish populations theoretically could experience prolonged optimal growth environment within a changing climate, however, models that assess physical habitat influences at specific life stages convey a more complex picture. Looking at specific interactions with other stressors, climate change may exacerbate the negative impacts of both eutrophication and invasive species for fish habitat in the Great Lakes. Although expanding monitoring and research to consider climate change interactions with currently studied stressors, may offer managers the best opportunity to keep the valuable Great Lakes fisheries sustainable, this expansion is globally applicable for large lake ecosystem dealing with multiple stressors in the face of continued human-driven changes.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9480-3","usgsCitation":"Collingsworth, P.D., Bunnell, D., Murray, M.W., Kao, Y., Feiner, Z.S., Claramunt, R.M., Lofgren, B.M., Hook, T.O., and Ludsin, S.A., 2017, Climate change as a long-term stressor for the fisheries of the Laurentian Great Lakes of North America: Reviews in Fish Biology and Fisheries, v. 27, no. 2, p. 363-391, https://doi.org/10.1007/s11160-017-9480-3.","productDescription":"29 p.","startPage":"363","endPage":"391","ipdsId":"IP-079002","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":341633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n 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wetland indicator status categories","interactions":[],"lastModifiedDate":"2017-06-14T11:56:48","indexId":"70187875","displayToPublicDate":"2017-05-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Variation in species-level plant functional traits over wetland indicator status categories","docAbstract":"Wetland indicator status (WIS) describes the habitat affinity of plant species and is used in wetland delineations and resource inventories. Understanding how species-level functional traits vary across WIS categories may improve designations, elucidate mechanisms of adaptation, and explain habitat optima and niche. We investigated differences in species-level traits of riparian flora across WIS categories, extending their application to indicate hydrologic habitat. We measured or compiled data on specific leaf area (SLA), stem specific gravity (SSG), seed mass, and mature height of 110 plant species that occur along the Colorado River in Grand Canyon, Arizona. Additionally, we measured leaf δ13C, δ15N, % carbon, % nitrogen, and C/N ratio of 56 species with C3 photosynthesis. We asked the following: (i) How do species-level traits vary over WIS categories? (ii) Does the pattern differ between herbaceous and woody species? (iii) How well do multivariate traits define WIS categories? (iv) Which traits are correlated? The largest trait differences among WIS categories for herbaceous species occurred for SSG, seed mass, % leaf carbon and height, and for woody species occurred for height, SSG, and δ13C. SSG increased and height decreased with habitat aridity for both woody and herbaceous species. The δ13C and hence water use efficiency of woody species increased with habitat aridity. Water use efficiency of herbaceous species increased with habitat aridity via greater occurrence of C4 grasses. Multivariate trait assemblages differed among WIS categories. Over all species, SLA was correlated with height, δ13C, % leaf N, and C/N; height was correlated with SSG and % leaf C; SSG was correlated with % leaf C. Adaptations of both herbaceous and woody riparian species to wet, frequently inundated habitats include low-density stem tissue. Adaptations to drier habitats in the riparian zone include short, high-density cavitation-resistant stem tissue, and high water use efficiency. The results enhance understanding about using traits to describe plant habitat in riparian systems.
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Ltd","doi":"10.1002/ece3.2975","usgsCitation":"McCoy-Sulentic, M.E., Kolb, T.E., Merritt, D.M., Palmquist, E.C., Ralston, B.E., and Sarr, D.A., 2017, Variation in species-level plant functional traits over wetland indicator status categories: Ecology and Evolution, v. 7, no. 11, p. 3732-3744, https://doi.org/10.1002/ece3.2975.","productDescription":"13 p.","startPage":"3732","endPage":"3744","ipdsId":"IP-083993","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469833,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2975","text":"Publisher Index Page"},{"id":438333,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BV7DTQ","text":"USGS data release","linkHelpText":"Plant functional traits, Colorado River, Grand Canyon, 2012-2014Data"},{"id":341617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon, Marble Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.4503173828125,\n 35.73090666520053\n ],\n [\n -111.53045654296874,\n 35.73090666520053\n ],\n [\n -111.53045654296874,\n 36.90597988519294\n ],\n [\n -113.4503173828125,\n 36.90597988519294\n ],\n [\n -113.4503173828125,\n 35.73090666520053\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"59269bb5e4b0b7ff9fb48963","contributors":{"authors":[{"text":"McCoy-Sulentic, Miles E.","contributorId":192228,"corporation":false,"usgs":false,"family":"McCoy-Sulentic","given":"Miles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolb, Thomas E.","contributorId":189073,"corporation":false,"usgs":false,"family":"Kolb","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merritt, David M.","contributorId":192229,"corporation":false,"usgs":false,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":24595,"text":"USDA Forest Service, Fort Collins CO","active":true,"usgs":false}],"preferred":false,"id":695860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":695857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":695861,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sarr, Daniel A. dsarr@usgs.gov","contributorId":191593,"corporation":false,"usgs":false,"family":"Sarr","given":"Daniel","email":"dsarr@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":695862,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187854,"text":"70187854 - 2017 - Geomorphological evidence for ground ice on dwarf planet Ceres","interactions":[],"lastModifiedDate":"2017-05-23T09:43:35","indexId":"70187854","displayToPublicDate":"2017-05-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological evidence for ground ice on dwarf planet Ceres","docAbstract":"Five decades of observations of Ceres suggest that the dwarf planet has a composition similar to carbonaceous meteorites and may have an ice-rich outer shell protected by a silicate layer. NASA’s Dawn spacecraft has detected ubiquitous clays, carbonates and other products of aqueous alteration across the surface of Ceres, but surprisingly it has directly observed water ice in only a few areas. Here we use Dawn Framing Camera observations to analyse lobate morphologies on Ceres’ surface and we infer the presence of ice in the upper few kilometres of Ceres. We identify three distinct lobate morphologies that we interpret as surface flows: thick tongue-shaped, furrowed flows on steep slopes; thin, spatulate flows on shallow slopes; and cuspate sheeted flows that appear fluidized. The shapes and aspect ratios of these flows are different from those of dry landslides—including those on ice-poor Vesta—but are morphologically similar to ice-rich flows on other bodies, indicating the involvement of ice. Based on the geomorphology and poleward increase in prevalence of these flows, we suggest that the shallow subsurface of Ceres is comprised of mixtures of silicates and ice, and that ice is most abundant near the poles.
","language":"English","publisher":"Nature","doi":"10.1038/ngeo2936","usgsCitation":"Schmidt, B.E., Hughson, K.H., Chilton, H.T., Scully, J.E., Platz, T., Nathues, A., Sizemore, H., Bland, M.T., Byrne, S., Marchi, S., O'Brien, D., Schorghofer, N., Hiesinger, H., Jaumann, R., Hendrick Pasckert, J., Lawrence, J.D., Buzckowski, D., Castillo-Rogez, J., Sykes, M.V., Schenk, P., DeSanctis, M., Mitri, G., Formisano, M., Li, J., Reddy, V., Le Corre, L., Russell, C.T., and Raymond, C.A., 2017, Geomorphological evidence for ground ice on dwarf planet Ceres: Nature Geoscience, v. 10, p. 338-343, https://doi.org/10.1038/ngeo2936.","productDescription":"6 p.","startPage":"338","endPage":"343","ipdsId":"IP-077292","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":341563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"59254a6be4b0b7ff9fb361a2","contributors":{"authors":[{"text":"Schmidt, Britney E.","contributorId":167380,"corporation":false,"usgs":false,"family":"Schmidt","given":"Britney","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughson, Kynan H.G.","contributorId":192186,"corporation":false,"usgs":false,"family":"Hughson","given":"Kynan","email":"","middleInitial":"H.G.","affiliations":[{"id":32998,"text":"Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles, CA, USA","active":true,"usgs":false}],"preferred":false,"id":695753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chilton, Heather T.","contributorId":192187,"corporation":false,"usgs":false,"family":"Chilton","given":"Heather","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":695754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scully, Jennifer E. 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(BOEM) entered into Intra-agency agreement M13PG00037 to map an area of the Oregon Outer Continental Shelf (OCS) off of Coos Bay, Oregon, under consideration for development of a floating wind energy farm. The BOEM requires seafloor mapping and site characterization studies in order to evaluate the impact of seafloor and sub-seafloor conditions on the installation, operation, and structural integrity of proposed renewable energy projects, as well as to assess the potential effects of construction and operations on archaeological resources. The mission of the USGS is to provide geologic, topographic, and hydrologic information that contributes to the wise management of the Nation's natural resources and that promotes the health, safety, and well being of the people. This information consists of maps, databases, and descriptions and analyses of the water, energy, and mineral resources, land surface, underlying geologic structure, and dynamic processes of the earth.
For the Oregon OCS study, the USGS acquired multibeam echo sounder and seafloor video data surrounding the proposed development site, which is 95 km2 in area and 15 miles offshore from Coos Bay. The development site had been surveyed by Solmar Hydro Inc. in 2013 under a contract with WindFloat Pacific. The USGS subsequently produced a bathymetry digital elevation model and a backscatter intensity grid that were merged with existing data collected by the contractor. The merged grids were published along with visual observations of benthic geo-habitat from the video data in an associated USGS data release (Cochrane and others, 2015).
This report includes the results of analysis of the video data conducted by Oregon State University and the geo-habitat interpretation of the multibeam echo sounder (MBES) data conducted by the USGS. MBES data was published in Cochrane and others (2015). Interpretive data associated with this publication is published in Cochrane (2017). All the data is provided as geographic information system (GIS) files that contain both Esri ArcGIS geotiffs or shapefiles. For those who do not own the full suite of Esri GIS and mapping software, the data can be read using Esri ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed August 29, 2016). Web services, which consist of standard implementations of ArcGIS representational state transfer (REST) Service and Open Geospatial Consortium (OGC) GIS web map service (WMS), also are available for all published GIS data. Web services were created using an ArcGIS service definition file, resulting in data layers that are symbolized as shown on the associated report figures. Both the ArcGIS REST Service and OGC WMS Service include all the individual GIS layers. Data layers are bundled together in a map-area web service; however, each layer can be symbolized and accessed individually after the web service is ingested into a desktop application or web map. Web services enable users to download and view data, as well as to easily add data to their own workflows, using any browser-enabled, standalone or mobile device.
Though the surficial substrate is dominated by combinations of mud and sand substrate, a diverse assortment of geomorphologic features are related to geologic processes—one anticlinal ridge where bedrock is exposed, a slump and associated scarps, and pockmarks. Pockmarks are seen in the form of fields of small pockmarks, a lineation of large pockmarks with methanogenic carbonates, and areas of large pockmarks that have merged into larger variously shaped depressions. The slump appears to have originated at the pockmark lineation. Video-supervised numerical analysis of the MBES backscatter intensity data and vector ruggedness derived from the MBES bathymetry data was used to produce a substrate model called a seafloor character raster for the study area. The seafloor character raster consists of three substrate classes: soft-flat areas, hard-flat areas, and hard-rugged areas. A Coastal and Marine Ecological Classification Standard (CMECS) geoform and substrate map was also produced using depth, slope, and benthic position index classes to delineate geoform boundaries. Seven geoforms were identified in this process, including ridges, slump scars, slump deposits, basins, and pockmarks.
Statistical analysis of the video data for correlations between substrate, depth, and invertebrate assemblages resulted in the identification of seven biomes: three hard-bottom biomes and four softbottom biomes. A similar analysis of vertebrate observations produces a similar set of biomes. The biome between-group dissimilarity was very high or high. Invertebrates alone represent most of the structure of the whole benthic community into different assemblages. A biotope map was generated using the seafloor character raster and the substrate and depth values of the biomes. Hard substrate biotopes were small in size and were located primarily on the ridge and in pockmarks along the pockmark lineation. The soft-bottom bitopes consisted of large contiguous areas delimited by isobaths.
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In 2009, the Federal Highway Administration published Hydraulic Engineering Circular No. 23 (HEC-23) to provide specific design and implementation guidelines for bridge scour and stream instability countermeasures. However, the effectiveness of countermeasures implemented over the past decade following those guidelines has not been evaluated. Therefore, in 2013, the U.S. Geological Survey, in cooperation with the Federal Highway Administration, began a study to assess the current condition of bridge-scour countermeasures at selected sites to evaluate their effectiveness. Bridge-scour countermeasures were assessed during 2014-2016. Site assessments included reviewing countermeasure design plans, summarizing the peak and daily streamflow history, and assessments at each site. Each site survey included a photo log summary, field form, and topographic and bathymetric geospatial data and metadata. This report documents the study area and site-selection criteria, explains the survey methods used to evaluate the condition of countermeasures, and presents the complete documentation for each countermeasure assessment.
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\"}}]}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
Flood-frequency characteristics for 360 gaged sites on unregulated rural streams in Wisconsin are presented for percent annual exceedance probabilities ranging from 0.2 to 50 using a statewide skewness map developed for this report. Equations of the relations between flood-frequency and drainage-basin characteristics were developed by multiple-regression analyses. Flood-frequency characteristics for ungaged sites on unregulated, rural streams can be estimated by use of the equations presented in this report. The State was divided into eight areas of similar physiographic characteristics. The most significant basin characteristics are drainage area, soil saturated hydraulic conductivity, main-channel slope, and several land-use variables. The standard error of prediction for the equation for the 1-percent annual exceedance probability flood ranges from 56 to 70 percent for Wisconsin Streams; these values are larger than results presented in previous reports. The increase in the standard error of prediction is likely due to increased variability of the annual-peak discharges, resulting in increased variability in the magnitude of flood peaks at higher frequencies. For regulated streams, a graphical method for estimating flood-frequency characteristics was developed from the relations of discharge and drainage area for selected annual exceedance probabilities. Graphs for the major regulated streams in Wisconsin are presented in the report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165140","collaboration":"Prepared in cooperation with the Wisconsin Department of Transportation","usgsCitation":"Walker, J.F., Peppler, M.C., Danz, M.E., and Hubbard, L.E., 2017, Flood-frequency characteristics of Wisconsin streams (ver. 2.2, April 2020): Reston, Virginia, U.S. Geological Survey Scientific Investigations Report 2016–5140, 33 p., 1 plate, 2 appendixes, https://doi.org/10.3133/sir20165140.","productDescription":"Report: vi, 33 p.; Plate: 24.0 x 35.0 inches; Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079459","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":373799,"rank":15,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5140/VersionHist_ver2.2.txt","text":"Version History","size":"1.06 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016–5140 Version History"},{"id":373796,"rank":14,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5140/sir20165140_ver2.2.pdf","text":"Report","size":"5.04","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5140"},{"id":345324,"rank":13,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-11.xls","text":"Table 2-11","size":"306 KB xls","linkHelpText":"- Drainage-basin characteristics for rural streamflow-gaging stations in Wisconsin"},{"id":345323,"rank":12,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-10.xls","text":"Table 2-10","size":"41 KB xls","linkHelpText":"- Discharges for selected p-percent annual exceedance probability floods and Water Resources Council estimated statistics for regulated streamflow- gaging stations in the Wisconsin flood-frequency network"},{"id":345322,"rank":11,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-9.xls","text":"Table 2-9","size":"81 KB xls","linkHelpText":"- Discharges for the 0.2-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345321,"rank":10,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-8.xls","text":"Table 2-8","size":"81 KB xls","linkHelpText":"- Discharges for the 0.5-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345320,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-7.xls","text":"Table 2-7","size":"81 KB xls","linkHelpText":"- Discharges for the 1-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345319,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-6.xls","text":"Table 2-6","size":"81 KB xls","linkHelpText":"- Discharges for the 2-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345318,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-5.xls","text":"Table 2-5","size":"81 KB xls","linkHelpText":"- Discharges for the 4-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345317,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-4.xls","text":"Table 2-4","size":"81 KB xls","linkHelpText":"- Discharges for the 10-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345316,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-3.xls","text":"Table 2-3","size":"87 KB xls","linkHelpText":"- Discharges for the 20-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345315,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-2.xls","text":"Table 2-2","size":"81 KB xls","linkHelpText":"- Discharges for the 50-percent annual exceedance probability floods for streamflow-gaging stations in the Wisconsin flood-frequency network"},{"id":345314,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2016/5140/appendix2-tables/sir20165140_table2-1.xls","text":"Table 2-1","size":"108 KB xls","linkHelpText":"- General characteristics of the unregulated streamflow-gaging stations in the Wisconsin 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\"}}]}","edition":"Version 1.0: May 22, 2017; Version 2.0: August 30, 2017; Version 2.1: December 26, 2017; Version 2.2: April 8, 2020","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Density-dependent (DD) and density-independent (DI) habitat selection is strongly linked to a species’ evolutionary history. Determining the relative importance of each is necessary because declining populations are not always the result of altered DI mechanisms but can often be the result of DD via a reduced carrying capacity. We developed spatially and temporally explicit models throughout the Chena River, Alaska to predict important DI mechanisms that influence Chinook salmon spawning success. We used resource-selection functions to predict suitable spawning habitat based on geomorphic characteristics, a semi-distributed water-and-energy balance hydrologic model to generate stream flow metrics, and modeled stream temperature as a function of climatic variables. Spawner counts were predicted throughout the core and periphery spawning sections of the Chena River from escapement estimates (DD) and DI variables. Additionally, we used isodar analysis to identify whether spawners actively defend spawning habitat or follow an ideal free distribution along the riverscape. Aerial counts were best explained by escapement and reference to the core or periphery, while no models with DI variables were supported in the candidate set. Furthermore, isodar plots indicated habitat selection was best explained by ideal free distributions, although there was strong evidence for active defense of core spawning habitat. Our results are surprising, given salmon commonly defend spawning resources, and are likely due to competition occurring at finer spatial scales than addressed in this study.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0177467","usgsCitation":"Huntsman, B.M., Falke, J.A., Savereide, J.W., and Bennett, K.E., 2017, The role of density-dependent and –independent processes in spawning habitat selection by salmon in an Arctic riverscape: PLoS ONE, v. 12, no. 5, p. 1-21, https://doi.org/10.1371/journal.pone.0177467.","productDescription":"e0177467; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-077611","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":461565,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0177467","text":"Publisher Index Page"},{"id":353885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River Basin","volume":"12","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"5afee879e4b0da30c1bfc457","contributors":{"authors":[{"text":"Huntsman, Brock M. 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":166748,"corporation":false,"usgs":false,"family":"Huntsman","given":"Brock","email":"","middleInitial":"M.","affiliations":[{"id":24497,"text":"West Virginia University, Morgantown, WV","active":true,"usgs":false}],"preferred":false,"id":734441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savereide, James W.","contributorId":204591,"corporation":false,"usgs":false,"family":"Savereide","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":734442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Katrina E.","contributorId":204592,"corporation":false,"usgs":false,"family":"Bennett","given":"Katrina","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734443,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187843,"text":"70187843 - 2017 - Assessing the status of sediment toxicity and macroinvertebrate communities in the Eighteenmile Creek Area of Concern, New York","interactions":[],"lastModifiedDate":"2017-05-22T12:45:20","indexId":"70187843","displayToPublicDate":"2017-05-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the status of sediment toxicity and macroinvertebrate communities in the Eighteenmile Creek Area of Concern, New York","docAbstract":"In 1972, the governments of Canada and the United States committed to restoring the physical, chemical, and biological integrity of the Laurentian Great Lakes under the Great Lakes Water Quality Agreement. Through this framework, the downstream-most section of Eighteenmile Creek, a tributary to the south shore of Lake Ontario in New York, was designated as an Area of Concern (AOC) because water quality and bed sediments were contaminated by past industrial and municipal discharges, waste disposal, and pesticide usage. Five beneficial use impairments (BUIs) have been identified in the AOC including the degradation of the “benthos”, or the benthic macroinvertebrate community. This investigation used sediment toxicity testing and macroinvertebrate community assessments to determine if the toxicity of bed sediments in the AOC differed from that of an unimpacted reference stream. Results from 10-day toxicity tests indicated that survival and growth of the dipteran Chironomus dilutus and the amphipod Hyalella azteca did not differ significantly between sediments from the AOC and reference area. Analyses of benthic macroinvertebrate community integrity and structure also indicated that macroinvertebrate communities, while impacted across most sites on both streams, were generally similar between the AOC and reference area. Despite these findings, the upstream-most AOC site consistently scored poorly in all analyses, which suggests that localized sediment toxicity may exist in the AOC, even if large scale differences between the AOC and a comparable reference stream are minimal.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.01.004","usgsCitation":"George, S.D., Duffy, B.T., and Baldigo, B.P., 2017, Assessing the status of sediment toxicity and macroinvertebrate communities in the Eighteenmile Creek Area of Concern, New York: Journal of Great Lakes Research, v. 43, no. 3, p. 55-63, https://doi.org/10.1016/j.jglr.2017.01.004.","productDescription":"9 p.","startPage":"55","endPage":"63","ipdsId":"IP-073636","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":341531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Eighteenmile Creek, Oak Orchard Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.760986328125,\n 43.12504316740127\n ],\n [\n -78.05374145507812,\n 43.12504316740127\n ],\n [\n -78.05374145507812,\n 43.410035859164545\n ],\n [\n -78.760986328125,\n 43.410035859164545\n ],\n [\n -78.760986328125,\n 43.12504316740127\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5923f8e0e4b0b7ff9fb2341a","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, Brian T.","contributorId":6352,"corporation":false,"usgs":true,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":695709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":695708,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}