Although As concentrations have been investigated in shallow groundwater from the Hetao basin, China, less is known about U and As distributions in deep groundwater, which would help to better understand their origins and fate controls. Two hundred and ninety-nine groundwater samples, 122 sediment samples, and 14 rock samples were taken from the northwest portion of the Hetao basin, and analyzed for geochemical parameters. Results showed contrasting distributions of groundwater U and As, with high U and low As concentrations in the alluvial fans along the basin margins, and low U and high As concentrations downgradient in the flat plain. The probable sources of both As and U in groundwater were ultimately traced to the bedrocks in the local mountains (the Langshan Mountains). Chemical weathering of U-bearing rocks (schist, phyllite, and carbonate veins) released and mobilized U as UO2(CO3)22 − and UO2(CO3)34 − species in the alluvial fans under oxic conditions and suboxic conditions where reductions of Mn and NO3− were favorable (OSO), resulting in high groundwater U concentrations. Conversely, the recent weathering of As-bearing rocks (schist, phyllite, and sulfides) led to the formation of As-bearing Fe(III) (hydr)oxides in sediments, resulting in low groundwater As concentrations. Arsenic mobilization and U immobilization occurred in suboxic conditions where reduction of Fe(III) oxides was favorable and reducing conditions (SOR). Reduction of As-bearing Fe(III) (hydr)oxides, which were formed during palaeo-weathering and transported and deposited as Quaternary aquifer sediments, was believed to release As into groundwater. Reduction of U(VI) to U(IV) would lead to the formation of uraninite, and therefore remove U from groundwater. We conclude that the contrasting distributions of groundwater As and U present a challenge to ensuring safe drinking water in analogous areas, especially with high background values of U and As.
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It is particularly unclear how multiple extrinsic factors with contrasting effects among seasons are related to declines in population numbers and changes in mean body size and whether there is a strong role for density-dependence. The primary goal of this study was to identify the roles of seasonal variation in climate driven environmental direct effects (mean stream flow and temperature) versus density-dependence on population size and mean body size in eastern brook trout (Salvelinus fontinalis). We use data from a 10-year capture-mark-recapture study of eastern brook trout in four streams in Western Massachusetts, USA to parameterize a discrete-time population projection model. The model integrates matrix modeling techniques used to characterize discrete population structures (age, habitat type and season) with integral projection models (IPMs) that characterize demographic rates as continuous functions of organismal traits (in this case body size). Using both stochastic and deterministic analyses we show that decreases in population size are due to changes in stream flow and temperature and that these changes are larger than what can be compensated for through density-dependent responses. We also show that the declines are due mostly to increasing mean stream temperatures decreasing the survival of the youngest age class. In contrast, increases in mean body size over the same period are the result of indirect changes in density with a lesser direct role of climate-driven environmental change.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13135","usgsCitation":"Bassar, R.D., Letcher, B.H., Nislow, K., and Whiteley, A.R., 2016, Changes in seasonal climate outpace compensatory density-dependence in eastern brook trout: Global Change Biology, v. 22, no. 2, p. 577-593, https://doi.org/10.1111/gcb.13135.","productDescription":"17 p.","startPage":"577","endPage":"593","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049250","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":311858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Whately","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.69275665283203,\n 42.40698116175213\n ],\n [\n -72.69275665283203,\n 42.469564487829516\n ],\n [\n -72.5925064086914,\n 42.469564487829516\n ],\n [\n -72.5925064086914,\n 42.40698116175213\n ],\n [\n -72.69275665283203,\n 42.40698116175213\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"566167b6e4b06a3ea36c5653","contributors":{"authors":[{"text":"Bassar, Ronald D.","contributorId":150154,"corporation":false,"usgs":false,"family":"Bassar","given":"Ronald","email":"","middleInitial":"D.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":580858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":149617,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":580857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, Keith H.","contributorId":60106,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith H.","affiliations":[],"preferred":false,"id":580859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":580860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159885,"text":"70159885 - 2016 - Impact of Deepwater Horizon Spill on food supply to deep-sea benthos communities","interactions":[],"lastModifiedDate":"2017-09-13T16:47:43","indexId":"70159885","displayToPublicDate":"2015-12-03T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Impact of Deepwater Horizon Spill on food supply to deep-sea benthos communities","docAbstract":"Deep-sea ecosystems encompass unique and often fragile communities that are sensitive to a variety of anthropogenic and natural impacts. After the 2010 Deepwater Horizon (DWH) oil spill, sampling efforts documented the acute impact of the spill on some deep-sea coral colonies. To investigate the impact of the DWH spill on quality and quantity of biomass delivered to the deep-sea, a suite of geochemical tracers (e.g., stable and radio-isotopes, lipid biomarkers, and compound specific isotopes) was measured from monthly sediment trap samples deployed near a high-density deep-coral site in the Viosca Knoll area of the north-central Gulf of Mexico prior to (Oct-2008 to Sept-2009) and after the spill (Oct-10 to Sept-11). Marine (e.g., autochthonous) sources of organic matter dominated the sediment traps in both years, however after the spill, there was a pronounced reduction in marinesourced OM, including a reduction in marine-sourced sterols and n-alkanes and a concomitant decrease in sediment trap organic carbon and pigment flux. Results from this study indicate a reduction in primary production and carbon export to the deep-sea in 2010-2011, at least 6-18 months after the spill started. Whereas satellite observations indicate an initial increase in phytoplankton biomass, results from this sediment trap study define a reduction in primary production and carbon export to the deep-sea community. In addition, a dilution from a low-14C carbon source (e.g., petrocarbon) was detected in the sediment trap samples after the spill, in conjunction with a change in the petrogenic composition. The data presented here fills a critical gap in our knowledge of biogeochemical processes and sub-acute impacts to the deep-sea that ensued after the 2010 DWH spill.
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The geoknife R package was created to facilitate reproducible analyses of gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers. Outputs from geoknife include spatial and temporal data subsets, spatially-averaged time series values filtered by user-specified areas of interest, and categorical coverage fractions for various land-use types.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.01880","usgsCitation":"Read, J.S., Walker, J.I., Appling, A., Blodgett, D.L., Read, E.K., and Winslow, L., 2016, geoknife: Reproducible web-processing of large gridded datasets: Ecography, v. 39, no. 4, p. 354-360, https://doi.org/10.1111/ecog.01880.","productDescription":"7 p.","startPage":"354","endPage":"360","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065913","costCenters":[],"links":[{"id":471415,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.01880","text":"Publisher Index Page"},{"id":311835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-09","publicationStatus":"PW","scienceBaseUri":"566167bae4b06a3ea36c566b","chorus":{"doi":"10.1111/ecog.01880","url":"http://dx.doi.org/10.1111/ecog.01880","publisher":"Wiley-Blackwell","authors":"Read Jordan S., Walker Jordan I., Appling Alison P., Blodgett David L., Read Emily K., Winslow Luke A.","journalName":"Ecography","publicationDate":"11/9/2015","auditedOn":"11/11/2015"},"contributors":{"authors":[{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":580946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Appling, Alison P. aappling@usgs.gov","contributorId":150192,"corporation":false,"usgs":true,"family":"Appling","given":"Alison P.","email":"aappling@usgs.gov","affiliations":[],"preferred":false,"id":580948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Read, Emily K. 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":5815,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","middleInitial":"K.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":false,"id":580950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winslow, Luke A. lwinslow@usgs.gov","contributorId":139775,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke A.","email":"lwinslow@usgs.gov","affiliations":[],"preferred":false,"id":580951,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159868,"text":"fs20153084 - 2016 - Sustainable groundwater management in California","interactions":[],"lastModifiedDate":"2016-06-23T15:12:31","indexId":"fs20153084","displayToPublicDate":"2015-12-01T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3084","title":"Sustainable groundwater management in California","docAbstract":"The U.S. Geological Survey (USGS) uses data collection, modeling tools, and scientific analysis to help water managers plan for, and assess, hydrologic issues that can cause “undesirable results” associated with groundwater use. This information helps managers understand trends and investigate and predict effects of different groundwater-management strategies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153084","usgsCitation":"Phillips, S.P., Rogers, L.L., Faunt, C.C., 2015, Sustainable groundwater management in California (ver. 2.2, February 2016): U.S. Geological Survey Fact Sheet 2015-3084, 8 p., https://dx.doi.org/10.3133/fs20153084","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069819","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":318306,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2015/3084/versionHist.txt","linkFileType":{"id":2,"text":"txt"}},{"id":311779,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3084/coverthb2.jpg"},{"id":311780,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3084/fs20153084.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3084"}],"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 -124.23339843749999,\n 42.01665183556825\n ],\n [\n -119.99267578124999,\n 41.983994270935625\n ],\n [\n -120.05859375,\n 39.01064750994083\n ],\n [\n -114.6533203125,\n 35.04798673426734\n ],\n [\n -114.60937499999999,\n 34.831841149828655\n ],\n [\n -114.3896484375,\n 34.74161249883172\n ],\n [\n -114.27978515625,\n 34.43409789359469\n ],\n [\n -114.10400390625,\n 34.21634468843465\n ],\n [\n -114.345703125,\n 33.94335994657882\n ],\n [\n -114.41162109375,\n 33.797408767572485\n ],\n [\n -114.45556640625,\n 33.52307880890422\n ],\n [\n -114.60937499999999,\n 33.394759218577995\n ],\n [\n -114.58740234375,\n 33.211116472416855\n ],\n [\n -114.71923828124999,\n 33.04550781490999\n ],\n [\n -114.43359375,\n 33.04550781490999\n ],\n [\n -114.345703125,\n 32.861132322810946\n ],\n [\n -114.49951171875,\n 32.694865977875075\n ],\n [\n -114.697265625,\n 32.657875736955305\n ],\n [\n -117.158203125,\n 32.491230287947594\n ],\n [\n -117.35595703124999,\n 32.91648534731439\n ],\n [\n -117.53173828125,\n 33.100745405144245\n ],\n [\n -117.92724609375,\n 33.46810795527896\n ],\n [\n -118.27880859375001,\n 33.669496972795535\n ],\n [\n -118.41064453125,\n 33.669496972795535\n ],\n [\n -118.67431640625,\n 33.87041555094183\n ],\n [\n -118.98193359375,\n 33.90689555128866\n ],\n [\n -119.24560546875001,\n 33.94335994657882\n ],\n [\n -119.50927734374999,\n 34.23451236236984\n ],\n [\n -119.7509765625,\n 34.34343606848294\n ],\n [\n -120.234375,\n 34.252676117101515\n ],\n [\n -120.58593749999999,\n 34.361576287484176\n ],\n [\n -120.78369140624999,\n 34.56085936708384\n ],\n [\n -120.7177734375,\n 35.08395557927643\n ],\n [\n -121.09130859375,\n 35.209721645221386\n ],\n [\n -121.09130859375,\n 35.38904996691167\n ],\n [\n -122.10205078125,\n 36.24427318493909\n ],\n [\n -122.10205078125,\n 36.5978891330702\n ],\n [\n -121.92626953124999,\n 36.721273880045004\n ],\n [\n -121.9482421875,\n 36.86204269508728\n ],\n [\n -122.16796875,\n 36.86204269508728\n ],\n [\n -122.58544921875,\n 37.19533058280065\n ],\n [\n -122.6513671875,\n 37.42252593456307\n ],\n [\n -122.62939453125001,\n 37.71859032558816\n ],\n [\n -122.84912109375,\n 37.89219554724437\n ],\n [\n -123.1787109375,\n 37.89219554724437\n ],\n [\n -123.06884765625,\n 38.11727165830543\n ],\n [\n -123.06884765625,\n 38.30718056188316\n ],\n [\n -123.33251953125,\n 38.39333888832238\n ],\n [\n -123.85986328124999,\n 38.839707613545144\n ],\n [\n -123.837890625,\n 38.993572058209466\n ],\n [\n -123.90380859374999,\n 39.232253141714885\n ],\n [\n -123.8818359375,\n 39.53793974517628\n ],\n [\n -124.01367187499999,\n 39.774769485295465\n ],\n [\n -124.27734374999999,\n 40.07807142745009\n ],\n [\n -124.47509765625,\n 40.26276066437183\n ],\n [\n -124.47509765625,\n 40.613952441166596\n ],\n [\n -124.25537109375,\n 40.84706035607122\n ],\n [\n -124.23339843749999,\n 41.02964338716638\n ],\n [\n -124.25537109375,\n 41.19518982948959\n ],\n [\n -124.12353515624999,\n 41.475660200278234\n ],\n [\n -124.18945312500001,\n 41.623655390686395\n ],\n [\n -124.3212890625,\n 41.75492216766298\n ],\n [\n -124.23339843749999,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted December 1, 2015; Version 2.2: February, 2016","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, CA 95819
http://ca.water.usgs.gov
One of the goals of the U.S. Geological Survey (USGS) Southeast Stream-Quality Assessment (SESQA) is to characterize contaminants at perennial-stream sites throughout the southern Piedmont and southern Appalachian Mountains. The evaluation of pesticide inputs from agricultural sources will aid in that characterization.
\nMethods used for calculating county-level pesticide use documented in this report are from methods developed and described by Thelin and Stone (2013) and Baker and Stone (2015). Two methods for calculating estimated pesticide use (EPest) rates—EPest-low and EPest-high—were applied in this study to estimate a probable range in the annual amounts of pesticide used for agriculture in 2014. To calculate watershed-level estimates, county-level use was proportionally allocated to agricultural land within each watershed. Concentrations of 262 pesticide compounds were estimated and compiled for subsequent analysis by the USGS National Water Quality Assessment Program, Southeast Stream-Quality Assessment.
\nThis report provides estimates of annual agricultural use of 262 pesticide compounds for counties and selected watersheds in parts of eight southeastern States for 2014. Estimates of county- and watershed-level annual agricultural pesticide use are provided as downloadable, tab-delimited files for both EPest-high and EPest-low.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151224","usgsCitation":"Baker, N.T., 2016, Estimated agricultural pesticide use for Southeast Stream-Quality Assessment, 2014 (ver 2.1, July, 2016): U.S. Geological Survey Open-File Report 2015–1224, 5 p., https://dx.doi.org/10.3133/ofr20151224.","productDescription":"Report: iii, 5 p.; 3 Tables","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-01-01","temporalEnd":"2014-12-31","ipdsId":"IP-067218","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":311730,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224_table1.txt","text":"Estimated pesticide use (EPest)-high and EPest-low estimates, by county","size":"15.3 MB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2015-1224","linkHelpText":"(Table 1)"},{"id":311734,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224_table3.xlsx","text":"Southeast Stream-Quality Assessment watershed station information","size":"20.5 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1224","linkHelpText":"(Table 3)"},{"id":311729,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224.pdf","text":"Report","size":"687 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1224"},{"id":312158,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2015/1224/versionHist.txt","size":"793 MB","linkFileType":{"id":2,"text":"txt"}},{"id":311733,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1224/ofr20151224_table2.txt","text":"Estimated pesticide use (EPest)-high and EPest-low estimates, by watershed","size":"1.63 MB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2015-1224","linkHelpText":"(Table 2)"},{"id":311728,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1224/coverthb1.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, North Carolina, South Carolina, Tennessee, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.36328125,\n 33.742612777346885\n ],\n [\n -84.5068359375,\n 36.50963615733049\n ],\n [\n -81.67236328125,\n 37.37888785004527\n ],\n [\n -80.09033203125,\n 38.151837403006766\n ],\n [\n -78.46435546875,\n 39.5633531658293\n ],\n [\n -77.420654296875,\n 39.198205348894795\n ],\n [\n -77.750244140625,\n 36.527294814546245\n ],\n [\n -78.145751953125,\n 35.36217605914681\n ],\n [\n -79.661865234375,\n 34.768691457552706\n ],\n [\n -81.9580078125,\n 33.43144133557529\n ],\n [\n -84.88037109375,\n 32.24997445586331\n ],\n [\n -87.418212890625,\n 32.98102014898148\n ],\n [\n -87.36328125,\n 33.742612777346885\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted December 1, 2015; Version 2.0: December 14, 2015; Version 2.1: July 19, 2016","contact":"Director, Indiana Water Science Center
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The Bell’s Vireo (Vireo bellii) is a widespread North American species of bird that has declined since the mid-1960s primarily due to habitat modification. Throughout its range, Bell’s Vireo populations are regulated under varying degrees of protection; however, the species has never been characterized genetically. Therefore, the current taxonomy used to guide management decisions may misrepresent the true evolutionary history for the species. We sequenced 86 individuals for ND2 and genotyped 48 individuals for genome-wide SNPs to identify distinct lineages within Bell’s Vireo. Phylogenetic analyses uncovered two distinct clades that are separated in the arid southwestern United States, near the border of the Chihuahuan and Sonoran Deserts. These clades diverged from each other approximately 1.11–2.04 mya. The timing of diversification, geographic location, and niche modeling of the east/west divergence suggest vicariance as a mode of diversification for these two lineages. Analyses of the SNP dataset provided additional resolution and indicated the Least Bell’s Vireo populations are a distinct evolutionary lineage. Our genetic evidence, together with information from morphology and behavior, suggests that the Bell’s Vireo complex involves two species, each containing two separate subspecies. This new information has implications for the federal, state and other listing status of Bell’s Vireo throughout its range.
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Consequently, the energy balance in urban regions is different from that of natural surfaces. To evaluate the changes in regional climate that could arise due to projected urbanization in the Phoenix-Tucson corridor, Arizona, we applied the coupled WRF-NOAH-UCM (which includes a detailed urban radiation scheme) to this region. Land cover changes were represented using land cover data for 2005 and projections to 2050, and historical North American Regional Reanalysis (NARR) data were used to specify the lateral boundary conditions. Results suggest that temperature changes will be well defined, reflecting the urban heat island (UHI) effect within areas experiencing LULCC. Changes in precipitation are less robust, but seem to indicate reductions in precipitation over the mountainous regions northeast of Phoenix and decreased evening precipitation over the newly-urbanized area.
","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/EI-D-15-0027.1","usgsCitation":"Yang, Z., Dominguez, F., Gupta, H., Xubin Zeng, and Norman, L.M., 2016, Urban effects on regional climate: a case study in the Phoenix and Tucson ‘sun’ corridor: Earth Interactions, v. 20, Paper No. 20; 25 p., https://doi.org/10.1175/EI-D-15-0027.1.","productDescription":"Paper No. 20; 25 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064793","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471417,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-15-0027.1","text":"Publisher Index Page"},{"id":311785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-16","publicationStatus":"PW","scienceBaseUri":"56602441e4b071e7ea544cba","contributors":{"authors":[{"text":"Yang, Zhao","contributorId":150143,"corporation":false,"usgs":false,"family":"Yang","given":"Zhao","email":"","affiliations":[{"id":17918,"text":"1Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dominguez, Francina","contributorId":150144,"corporation":false,"usgs":false,"family":"Dominguez","given":"Francina","email":"","affiliations":[{"id":17919,"text":"Department of Atmospheric Science, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Hoshin","contributorId":150145,"corporation":false,"usgs":false,"family":"Gupta","given":"Hoshin","email":"","affiliations":[{"id":17918,"text":"1Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xubin Zeng","contributorId":150146,"corporation":false,"usgs":false,"family":"Xubin Zeng","affiliations":[{"id":17920,"text":"2Department of Atmospheric Science, University of Arizona, Tucson, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":580828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":580824,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159856,"text":"70159856 - 2016 - Annual variation in recruitment of freshwater mussels and its relationship with river discharge","interactions":[],"lastModifiedDate":"2016-08-12T11:02:18","indexId":"70159856","displayToPublicDate":"2015-12-01T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Annual variation in recruitment of freshwater mussels and its relationship with river discharge","docAbstract":"Considering the harmful and irreversible consequences of many biological invasions, early detection of an invasive species is an important step toward protecting ecosystems (Sepulveda et al. 2012). Early detection increases the probability that suppression or eradication efforts will be successful because invasive populations are small and localized (Vander Zanden et al. 2010). However, most invasive species are not detected early because current tools have low detection probabilities when target species are rare and the sampling effort required to achieve acceptable detection capabilities with current tools is seldom tractable (Jerde et al. 2011). As a result, many invasive species go undetected until they are abundant and suppression efforts become costly.
Novel DNA-based surveillance tools have recently revolutionized early detection abilities using environmental DNA (eDNA) present in the water (Darling and Mahon 2011, Bohmann et al. 2014). In brief, eDNA monitoring enables the identification of organisms from DNA present and collected in water samples. Aquatic and semiaquatic organisms release DNA contained in sloughed, damaged, or partially decomposed tissue and waste products into the water and molecular techniques allow this eDNA in the water column to be identified from simple and easy-tocollect water samples (Darling and Mahon 2011). Despite limited understanding of the production, persistence, and spread of DNA in water (Barnes et al. 2014), eDNA monitoring has been applied not only to invasive species (Jerde et al. 2011), but also to species that are rare, endangered, or highly elusive (Spear et al. 2014). However, most eDNA research and monitoring has focused on detection of invertebrates and vertebrates and less attentionhas been given to developing eDNA techniques for detecting aquatic invasive plants.
Eurasian watermilfoil (EWM; Myriophyllum spicatum L.) is an invasive species for which improved early detection would be particularly helpful. Advanced EWM invasions have negative impacts on native biodiversity, recreational boating, fishing, and other types of aquatic tourism (e.g., Eiswerth et al. 2000). On a broader scale, EWM can also be harmful to man-made aquatic infrastructure, such as hydroelectric dams. If an EWM invasion can be detected in an early stage where eradication is still a possibility, many of these negative consequences can be limited or prevented altogether (e.g., Madsen et al. 2002).
The purpose of this research was to develop and validate a traditional polymerase chain reaction (PCR) assay for the detection of pure and hybridized EWM DNA using both laboratory and field experiments. We performed a pilot experiment in outdoor tanks to determine the basic functionality and sensitivity of the assay. Following this initial test, we collected field samples from Michigan and Montana lakes with and without known EWM populations. Taken together, our findings suggest that eDNA techniques have potential to be a useful strategy for the early detection of EWM.
Culverts can restrict access to habitat for stream-dwelling fishes. We used passive integrated transponder telemetry to quantify passage performance of >1000 wild brook trout (Salvelinus fontinalis) attempting to pass 13 culverts in Quebec under a range of hydraulic and environmental conditions. Several variables influenced passage success, including complex interactions between physiology and behavior, hydraulics, and structural characteristics. The probability of successful passage was greater through corrugated metal culverts than through smooth ones, particularly among smaller fish. Trout were also more likely to pass at warmer temperatures, but this effect diminished above 15 °C. Passage was impeded at higher flows, through culverts with steep slopes, and those with deep downstream pools. This study provides insight on factors influencing brook trout capacity to pass culverts as well as a model to estimate passage success under various conditions, with an improved resolution and accuracy over existing approaches. It also presents methods that could be used to investigate passage success of other species, with implications for connectivity of the riverscape.
","language":"English","publisher":"National Research Council Canada","publisherLocation":"Ottawa","doi":"10.1139/cjfas-2015-0089","collaboration":"Institut National de la Recherche Scientifique (Quebec, Canada)","usgsCitation":"Goerig, E., Castro-Santos, T.R., and Bergeron, N., 2016, Brook trout passage performance through culverts: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 1, p. 94-104, https://doi.org/10.1139/cjfas-2015-0089.","productDescription":"11 p.","startPage":"94","endPage":"104","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066023","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471418,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0089","text":"External Repository"},{"id":319896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"572485c1e4b0b13d39159359","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":626256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":626255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergeron, Normand","contributorId":168523,"corporation":false,"usgs":false,"family":"Bergeron","given":"Normand","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":626257,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160088,"text":"70160088 - 2016 - Restored agricultural wetlands in Central Iowa: habitat quality and amphibian response","interactions":[],"lastModifiedDate":"2017-01-31T09:24:09","indexId":"70160088","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Restored agricultural wetlands in Central Iowa: habitat quality and amphibian response","docAbstract":"Amphibians are declining throughout the United States and worldwide due, partly, to habitat loss. Conservation practices on the landscape restore wetlands to denitrify tile drainage effluent and restore ecosystem services. Understanding how water quality, hydroperiod, predation, and disease affect amphibians in restored wetlands is central to maintaining healthy amphibian populations in the region. We examined the quality of amphibian habitat in restored wetlands relative to reference wetlands by comparing species richness, developmental stress, and adult leopard frog (Lithobates pipiens) survival probabilities to a suite of environmental metrics. Although measured habitat variables differed between restored and reference wetlands, differences appeared to have sub-lethal rather than lethal effects on resident amphibian populations. There were few differences in amphibian species richness and no difference in estimated survival probabilities between wetland types. Restored wetlands had more nitrate and alkaline pH, longer hydroperiods, and were deeper, whereas reference wetlands had more amphibian chytrid fungus zoospores in water samples and resident amphibians exhibited increased developmental stress. Restored and reference wetlands are both important components of the landscape in central Iowa and maintaining a complex of fish-free wetlands with a variety of hydroperiods will likely contribute to the persistence of amphibians in this landscape.
","language":"English","publisher":"Springer Netherlands and Society of Wetland Scientists","doi":"10.1007/s13157-015-0720-9","usgsCitation":"Reeves, R.A., Pierce, C., Smalling, K., Klaver, R.W., Vandever, M.W., Battaglin, W.A., and Muths, E.L., 2016, Restored agricultural wetlands in Central Iowa: habitat quality and amphibian response: Wetlands, v. 36, no. 1, p. 101-110, https://doi.org/10.1007/s13157-015-0720-9.","productDescription":"10 p.","startPage":"101","endPage":"110","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062959","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488406,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/190","text":"External Repository"},{"id":312208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Central Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.07293701171875,\n 42.24681856113825\n ],\n [\n -92.77130126953125,\n 42.279340930853145\n ],\n [\n -92.4774169921875,\n 42.26308184299127\n ],\n [\n -92.43072509765625,\n 41.24683746537623\n ],\n [\n -92.84271240234374,\n 41.290189955885644\n ],\n [\n -92.83721923828125,\n 41.00477542222949\n ],\n [\n -94.4384765625,\n 41.03793062246529\n ],\n [\n -94.4384765625,\n 41.41801503608024\n ],\n [\n -94.7845458984375,\n 41.413895564677304\n ],\n [\n -94.8065185546875,\n 41.937019660425264\n ],\n [\n -95.1141357421875,\n 41.932933275212996\n ],\n [\n -95.11688232421875,\n 42.25088477477569\n ],\n [\n -95.07293701171875,\n 42.24681856113825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"566c01efe4b09cfe53ca5b04","chorus":{"doi":"10.1007/s13157-015-0720-9","url":"http://dx.doi.org/10.1007/s13157-015-0720-9","publisher":"Springer Nature","authors":"Reeves Rebecca A., Pierce Clay L., Smalling Kelly L., Klaver Robert W., Vandever Mark W., Battaglin William A., Muths Erin","journalName":"Wetlands","publicationDate":"12/1/2015","auditedOn":"7/27/2016","publiclyAccessibleDate":"12/1/2015"},"contributors":{"authors":[{"text":"Reeves, Rebecca A.","contributorId":150493,"corporation":false,"usgs":false,"family":"Reeves","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":581834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":581833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":149769,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L. 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Knowing what causes such bias can help guide the collection of relevant survey covariates, correct the survey data, anticipate situations where bias might be unacceptably large, and elucidate the ecology of target species. We used negative binomial regression to evaluate confounding variables for gecko (primarily Hemidactylus frenatus and Lepidodactylus lugubris) counts on 220-m-long transects surveyed at night, primarily for snakes, on 9,475 occasions. Searchers differed in gecko detection rates by up to a factor of six. The worst and best headlamps differed by a factor of at least two. Strong winds had a negative effect potentially as large as those of searchers or headlamps. More geckos were seen during wet weather conditions, but the effect size was small. Compared with a detection nadir during waxing gibbous (nearly full) moons above the horizon, we saw 28% more geckos during waning crescent moons below the horizon. A sine function suggested that we saw 24% more geckos at the end of the wet season than at the end of the dry season. Fluctuations on a longer timescale also were verified. Disturbingly, corrected data exhibited strong short-term fluctuations that covariates apparently failed to capture. Although some biases can be addressed with measured covariates, others will be difficult to eliminate as a significant source of error in longterm monitoring programs.
","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/14-048","usgsCitation":"Lardner, B., Rodda, G.H., Yackel Adams, A., Savidge, J., and Reed, R., 2016, Detection rates of geckos in visual surveys: Turning confounding variables into useful knowledge: Journal of Herpetology, v. 49, no. 4, p. 522-532, https://doi.org/10.1670/14-048.","productDescription":"11 p.","startPage":"522","endPage":"532","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052780","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":314304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Guam","otherGeospatial":"Andersen Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.89404678344727,\n 13.545375552197399\n ],\n [\n 144.89404678344727,\n 13.595102544565938\n ],\n [\n 144.95155334472656,\n 13.595102544565938\n ],\n [\n 144.95155334472656,\n 13.545375552197399\n ],\n [\n 144.89404678344727,\n 13.545375552197399\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5698d4c4e4b0fbd3f7fa4c22","contributors":{"authors":[{"text":"Lardner, Bjorn lardnerb@usgs.gov","contributorId":5546,"corporation":false,"usgs":true,"family":"Lardner","given":"Bjorn","email":"lardnerb@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":588632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodda, Gordon H. roddag@usgs.gov","contributorId":3196,"corporation":false,"usgs":true,"family":"Rodda","given":"Gordon","email":"roddag@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":588633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackel Adams, Amy A. yackela@usgs.gov","contributorId":141033,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy A.","email":"yackela@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":588631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savidge, Julie A.","contributorId":10225,"corporation":false,"usgs":true,"family":"Savidge","given":"Julie A.","affiliations":[],"preferred":false,"id":588634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":141036,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":588635,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168352,"text":"70168352 - 2016 - A simple web-based tool to compare freshwater fish data collected using AFS standard methods","interactions":[],"lastModifiedDate":"2018-02-28T14:26:52","indexId":"70168352","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"A simple web-based tool to compare freshwater fish data collected using AFS standard methods","docAbstract":"The American Fisheries Society (AFS) recently published Standard Methods for Sampling North American Freshwater Fishes. Enlisting the expertise of 284 scientists from 107 organizations throughout Canada, Mexico, and the United States, this text was developed to facilitate comparisons of fish data across regions or time. Here we describe a user-friendly web tool that automates among-sample comparisons in individual fish condition, population length-frequency distributions, and catch per unit effort (CPUE) data collected using AFS standard methods. Currently, the web tool (1) provides instantaneous summaries of almost 4,000 data sets of condition, length frequency, and CPUE of common freshwater fishes collected using standard gears in 43 states and provinces; (2) is easily appended with new standardized field data to update subsequent queries and summaries; (3) compares fish data from a particular water body with continent, ecoregion, and state data summaries; and (4) provides additional information about AFS standard fish sampling including benefits, ongoing validation studies, and opportunities to comment on specific methods. The web tool—programmed in a PHP-based Drupal framework—was supported by several AFS Sections, agencies, and universities and is freely available from the AFS website and fisheriesstandardsampling.org. With widespread use, the online tool could become an important resource for fisheries biologists.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2015.1106944","usgsCitation":"Bonar, S.A., Mercado-Silva, N., Rahr, M., Torrey, Y.T., and Cate, A., 2016, A simple web-based tool to compare freshwater fish data collected using AFS standard methods: Fisheries, v. 40, no. 12, p. 580-589, https://doi.org/10.1080/03632415.2015.1106944.","productDescription":"10 p.","startPage":"580","endPage":"589","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059875","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-11","publicationStatus":"PW","scienceBaseUri":"56c6f93ce4b0946c6524071a","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercado-Silva, Norman","contributorId":18219,"corporation":false,"usgs":true,"family":"Mercado-Silva","given":"Norman","email":"","affiliations":[],"preferred":false,"id":620808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rahr, Matt","contributorId":167027,"corporation":false,"usgs":false,"family":"Rahr","given":"Matt","email":"","affiliations":[],"preferred":false,"id":620809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torrey, Yuta T.","contributorId":167028,"corporation":false,"usgs":false,"family":"Torrey","given":"Yuta","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":620810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cate, Averill Jr.","contributorId":167030,"corporation":false,"usgs":false,"family":"Cate","given":"Averill","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":620811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70161740,"text":"70161740 - 2016 - Spawning and rearing behavior of bull trout in a headwater lake ecosystem","interactions":[],"lastModifiedDate":"2021-08-25T14:33:22.734268","indexId":"70161740","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Spawning and rearing behavior of bull trout in a headwater lake ecosystem","docAbstract":"Numerous life histories have been documented for bull trout Salvelinus confluentus. Lacustrine-adfluvial bull trout populations that occupy small, headwater lake ecosystems and migrate short distances to natal tributaries to spawn are likely common; however, much of the research on potamodromous bull trout has focused on describing the spawning and rearing characteristics of bull trout populations that occupy large rivers and lakes and make long distance spawning migrations to natal headwater streams. This study describes the spawning and rearing characteristics of lacustrine-adfluvial bull trout in the Quartz Lake drainage, Glacier National Park, USA, a small headwater lake ecosystem. Many spawning and rearing characteristics of bull trout in the Quartz Lake drainage are similar to potamodromous bull trout that migrate long distances. For example, subadult bull trout distribution was positively associated with slow-water habitat unit types and maximum wetted width, and negatively associated with increased stream gradient. Bull trout spawning also occurred when water temperatures were between 5 and 9 °C, and redds were generally located in stream segments with low stream gradient and abundant gravel and cobble substrates. However, this study also elucidated characteristics of bull trout biology that are not well documented in the literature, but may be relatively widespread and have important implications regarding general characteristics of bull trout ecology, use of available habitat by bull trout, and persistence of lacustrine-adfluvial bull trout in small headwater lake ecosystems.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-015-0461-x","usgsCitation":"Lora B. Tennant, Gresswell, R.E., Guy, C.S., and Meeuwig, M.H., 2016, Spawning and rearing behavior of bull trout in a headwater lake ecosystem: Environmental Biology of Fishes, v. 99, no. 1, p. 117-131, https://doi.org/10.1007/s10641-015-0461-x.","productDescription":"15 p.","startPage":"117","endPage":"131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059187","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":313869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Quartz Lake drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0626335144043,\n 48.8712640169951\n ],\n [\n -114.05353546142578,\n 48.86866700111896\n ],\n [\n -114.05508041381836,\n 48.859406977973094\n ],\n [\n -114.07001495361328,\n 48.849354525964365\n ],\n [\n -114.07928466796874,\n 48.841672640526525\n ],\n [\n -114.09181594848631,\n 48.83455454798976\n ],\n [\n -114.10812377929688,\n 48.82867853499683\n ],\n [\n -114.13061141967772,\n 48.827774471831894\n ],\n [\n -114.13473129272461,\n 48.827774471831894\n ],\n [\n -114.13764953613281,\n 48.82336693032094\n ],\n [\n -114.13644790649414,\n 48.820202302479274\n ],\n [\n -114.13078308105469,\n 48.81952414194507\n ],\n [\n -114.11396026611328,\n 48.818393853998344\n ],\n [\n -114.10074234008789,\n 48.82178464137724\n ],\n [\n -114.0846061706543,\n 48.828339513221444\n ],\n [\n -114.0720748901367,\n 48.83794424201477\n ],\n [\n -114.06366348266602,\n 48.84641747361601\n ],\n [\n -114.05653953552246,\n 48.851500724507346\n ],\n [\n -114.05061721801758,\n 48.85692229000433\n ],\n [\n -114.04872894287108,\n 48.867086142850226\n ],\n [\n -114.05173301696777,\n 48.87092528343819\n ],\n [\n -114.05362129211424,\n 48.87397380289261\n ],\n [\n -114.05671119689941,\n 48.87493348353615\n ],\n [\n -114.06074523925781,\n 48.87493348353615\n ],\n [\n -114.06237602233887,\n 48.872957650380535\n ],\n [\n -114.0626335144043,\n 48.8712640169951\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-14","publicationStatus":"PW","scienceBaseUri":"568cf74ae4b0e7a44bc0f18a","contributors":{"authors":[{"text":"Lora B. 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Box 173460, Bozeman, MT 59717","active":true,"usgs":false}],"preferred":false,"id":587612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":587611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":587613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meeuwig, Michael H.","contributorId":152033,"corporation":false,"usgs":false,"family":"Meeuwig","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":18858,"text":"Oregon Department of Fish and Wildlife, Corvallis Research Laboratory, 28655 Hwy 34, Corvallis, OR 97333, USA","active":true,"usgs":false}],"preferred":false,"id":587614,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193343,"text":"70193343 - 2016 - Groundwater science relevant to the Great Lakes Water Quality Agreement: A status report","interactions":[],"lastModifiedDate":"2017-12-21T10:23:12","indexId":"70193343","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Groundwater science relevant to the Great Lakes Water Quality Agreement: A status report","docAbstract":"When the Great Lakes Water Quality Agreement (GLWQA) was signed in 1972 by the Governments of Canada and the United States (the “Parties”) (Environment Canada, 2013a), groundwater was not recognized as important to the water quality of the Lakes. At that time, groundwater and surface water were still considered as two separate systems, with almost no appreciation for their interaction. When the GLWQA was revised in 1978 (US Environmental Protection Agency (USEPA), 2012), groundwater contamination, such as that reported at legacy industrial sites such as those at Love Canal near the Niagara River, was squarely in the news. Consequently, the potential impacts of contaminated groundwater from such sites on Great Lakes water quality became a concern (Beck, 1979), and Annex 16 was added to the agreement, to address “pollution from contaminated groundwater” (Francis, 1989). However, no formal process for reporting under this annex was provided.
The GLWQA Protocol in 1987 modified Annex 16 and called for progress reports beginning in 1988 (USEPA, 1988). The Protocol in 2012 provided a new Annex 8 to address groundwater more holistically (Environment 2 Canada, 2013b). Annex 8 (Environment Canada, 2013b) commits the Parties to coordinate groundwater science and management actions; as a first step, to “publish a report on the relevant and available groundwater science” by February 2015 (this report); and to “identify priorities for science activities and actions for groundwater management, protection, and remediation…” The broader mandate of Annex 8 is to (1) “identify groundwater impacts on the chemical, physical and biological integrity of the Waters of the Great Lakes;” (2) “analyze contaminants, including nutrients in groundwater, derived from both point and non-point sources impacting the Waters of the Great Lakes;” (3) “assess information gaps and science needs related to groundwater to protect the quality of the Waters of the Great Lakes;” and (4) “analyze other factors, such as climate change, that individually or cumulatively affect groundwater’s impact on the quality of the Waters of the Great Lakes.” A binational Annex 8 Subcommittee was formed to lead efforts to fulfill the mandate of this annex (members listed on p. i of this report). In turn, this subcommittee has recruited a task team to prepare this report (listed as authors of each chapter). This report addresses all of the above four objectives, based on a compilation of the “relevant and available groundwater science.” Specifically, the second objective (to “analyze contaminants”) is addressed by incorporating information obtained in ongoing monitoring and research activities conducted by the Parties, and by various other members of the Great Lakes Executive Committee.
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However, climate warming, land use change and associated increased connectivity all increase the risk of biological invasions in these environments. Here we present a summary of the key discussions of the workshop ‘Biosecurity in Mountains and Northern Ecosystems: Current Status and Future Challenges’ (Flen, Sweden, 1–3 June 2015). The aims of the workshop were to (1) increase awareness about the growing importance of species expansion—both non-native and native—at high elevation and high latitude with climate change, (2) review existing knowledge about invasion risks in these areas, and (3) encourage more research on how species will move and interact in cold environments, the consequences for biodiversity, and animal and human health and wellbeing. The diversity of potential and actual invaders reported at the workshop and the likely interactions between them create major challenges for managers of cold environments. However, since these cold environments have experienced fewer invasions when compared with many warmer, more populated environments, prevention has a real chance of success, especially if it is coupled with prioritisation schemes for targeting invaders likely to have greatest impact. Communication and co-operation between cold environment regions will facilitate rapid response, and maximise the use of limited research and management resources.
","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10530-015-1025-x","usgsCitation":"Pauchard, A., Albihn, A., Alexander, J., Burgess, T., Daehler, C., Essl, F., Evengard, B., Greenwood, G., Haider, S., Lenoir, J., McDougall, K., Milbau, A., Muths, E.L., Nunez, M., Pellissier, L., Rabitsch, W., Rew, L., Robertson, M., Sanders, N., and Kueffer, C., 2016, Non-native and native organisms moving into high elevation and high latitude ecosystems in an era of climate change: new challenges for ecology and conservation: Biological Invasions, v. 18, no. 2, p. 345-353, https://doi.org/10.1007/s10530-015-1025-x.","productDescription":"9 p.","startPage":"345","endPage":"353","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068991","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471419,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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Jake","contributorId":167869,"corporation":false,"usgs":false,"family":"Alexander","given":"Jake","email":"","affiliations":[{"id":24843,"text":"Institute of Integrative Biology, Department of Environmental Systems Science, ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":623918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgess, Treena","contributorId":167870,"corporation":false,"usgs":false,"family":"Burgess","given":"Treena","email":"","affiliations":[{"id":24844,"text":"Centre for Phytophthora Science and Management, Murdoch University","active":true,"usgs":false}],"preferred":false,"id":623919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daehler, Curt","contributorId":167871,"corporation":false,"usgs":false,"family":"Daehler","given":"Curt","email":"","affiliations":[{"id":24845,"text":"Department of Botany, University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":623920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Essl, Franz","contributorId":167872,"corporation":false,"usgs":false,"family":"Essl","given":"Franz","email":"","affiliations":[{"id":24846,"text":"Division of Conservation Biology, Vegetation and Landscape Ecology, University of Vienna","active":true,"usgs":false}],"preferred":false,"id":623921,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evengard, Birgitta","contributorId":167873,"corporation":false,"usgs":false,"family":"Evengard","given":"Birgitta","email":"","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":623922,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greenwood, 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K.","contributorId":106260,"corporation":false,"usgs":true,"family":"McDougall","given":"K.","email":"","affiliations":[],"preferred":false,"id":623926,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Milbau, Ann","contributorId":167878,"corporation":false,"usgs":false,"family":"Milbau","given":"Ann","email":"","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":623927,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":623928,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nunez, 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Christoph","contributorId":31519,"corporation":false,"usgs":true,"family":"Kueffer","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":623935,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70159748,"text":"70159748 - 2016 - Unusually large tsunamis frequent a currently creeping part of the Aleutian megathrust","interactions":[],"lastModifiedDate":"2016-02-01T13:26:02","indexId":"70159748","displayToPublicDate":"2015-11-30T01:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Unusually large tsunamis frequent a currently creeping part of the Aleutian megathrust","docAbstract":"Current models used to assess earthquake and tsunami hazards are inadequate where creep dominates a subduction megathrust. Here we report geological evidence for large tsunamis, occurring on average every 300–340 years, near the source areas of the 1946 and 1957 Aleutian tsunamis. These areas bookend a postulated seismic gap over 200 km long where modern geodetic measurements indicate that the megathrust is currently creeping. At Sedanka Island, evidence for large tsunamis includes six sand sheets that blanket a lowland facing the Pacific Ocean, rise to 15 m above mean sea level, contain marine diatoms, cap terraces, adjoin evidence for scour, and date from the past 1700 years. The youngest sheet, and modern drift logs found as far as 800 m inland and >18 m elevation, likely record the 1957 tsunami. Modern creep on the megathrust coexists with previously unrecognized tsunami sources along this part of the Aleutian Subduction Zone.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL066083","usgsCitation":"Witter, R., Carver, G.A., Briggs, R.W., Gelfenbaum, G.R., Koehler, R., La Selle, S., Bender, A.M., Engelhart, S., Hemphill-Haley, E., and Hill, T.D., 2016, Unusually large tsunamis frequent a currently creeping part of the Aleutian megathrust: Geophysical Research Letters, v. 43, no. 1, p. 76-84, https://doi.org/10.1002/2015GL066083.","productDescription":"9 p.","startPage":"76","endPage":"84","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064550","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":471420,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doaj.org/article/03ee003802e4483c87cab3779889ea1b","text":"Publisher Index Page"},{"id":311726,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.67578125,\n 58.44773280389084\n ],\n [\n -170.15625,\n 54.213861000644926\n ],\n [\n -174.55078125,\n 53.38332836757156\n ],\n [\n -178.41796874999997,\n 53.12040528310657\n ],\n [\n -181.93359375,\n 53.12040528310657\n ],\n [\n -185.44921875,\n 52.482780222078205\n ],\n [\n -183.515625,\n 50.62507306341435\n ],\n [\n -176.66015625,\n 50.3454604086048\n ],\n [\n -161.015625,\n 53.12040528310657\n ],\n [\n -154.248046875,\n 56.31653672211301\n ],\n [\n -150.29296875,\n 58.768200159239576\n ],\n [\n -151.34765625,\n 59.57885104663186\n ],\n [\n -152.9296875,\n 60.45721779774397\n ],\n [\n -155.7421875,\n 60.50052541051131\n ],\n [\n -157.67578125,\n 58.44773280389084\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"565d732ce4b071e7ea54344f","contributors":{"authors":[{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":580323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carver, G. A.","contributorId":80762,"corporation":false,"usgs":false,"family":"Carver","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":580324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":580325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koehler, R.D.","contributorId":55925,"corporation":false,"usgs":true,"family":"Koehler","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":580327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Selle, SeanPaul M. slaselle@usgs.gov","contributorId":5317,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul M.","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":580328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bender, Adrian M. 0000-0001-7469-1957 abender@usgs.gov","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":4963,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","email":"abender@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":580329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Engelhart, S.E.","contributorId":88586,"corporation":false,"usgs":true,"family":"Engelhart","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":580330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hemphill-Haley, E.","contributorId":69309,"corporation":false,"usgs":true,"family":"Hemphill-Haley","given":"E.","email":"","affiliations":[],"preferred":false,"id":580331,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hill, Troy D.","contributorId":150000,"corporation":false,"usgs":false,"family":"Hill","given":"Troy","email":"","middleInitial":"D.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":580332,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70162121,"text":"70162121 - 2016 - Characterization of the putatively introduced red alga Acrochaetium secundatum (Acrochaetiales, Rhodophyta) growing epizoically on the pelage of southern sea otters (Enhydra lutris nereis)","interactions":[],"lastModifiedDate":"2023-11-17T20:55:12.477121","indexId":"70162121","displayToPublicDate":"2015-11-27T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the putatively introduced red alga Acrochaetium secundatum (Acrochaetiales, Rhodophyta) growing epizoically on the pelage of southern sea otters (Enhydra lutris nereis)","docAbstract":"Ecological associations between epibionts (organisms that live on the surface of another living organism) and vertebrates have been documented in both marine and terrestrial environments, and may be opportunistic, commensal, or symbiotic (Lewin et al. 1981, Holmes 1985, Allen et al. 1993, Bledsoe et al. 2006, Pfaller et al. 2008, Suutari et al. 2010). Although epibiont proliferation is frequently reported on slow-moving, sparsely haired organisms such as manatees and sloths, reports from densely furred, highly mobile mammals are much less common. There are reports of epizoic algae for several species of pinnipeds (Kenyon and Rice 1959, Scheffer 1962, Baldridge 1977, Allen et al. 1993), which rely to varying degrees on both pelage and blubber for thermoregulation, but the phenomenon has not been widely described. Scheffer (1962) noted that red algae was fairly common on the pelage of northern fur seals (Callorhinus ursinus), pinnipeds for which fur likely makes a comparatively high contribution to thermoregulation (Donohue et al. 2000). For species with pelage that plays a critical role of thermal insulation, it seems implausible that an epibiont would persist on healthy individuals that devote significant energy resources toward grooming and actively maintaining their coat. Biological characteristics of epibiont settlement and attachment, and physiological requirements of epizoic species play key roles in their successful colonization and potential host impacts. To investigate this relationship, we explore a novel discovery of an epizoic alga from southern sea otters, including describing algal development on sea otter hair and molecular identification of the algae.
","language":"English","publisher":"Wiley","doi":"10.1111/mms.12275","usgsCitation":"Bentall, G.B., Rosen, B.H., Kunz, J.M., Miller, M.A., Saunders, G.W., and LaRoche, N., 2016, Characterization of the putatively introduced red alga Acrochaetium secundatum (Acrochaetiales, Rhodophyta) growing epizoically on the pelage of southern sea otters (Enhydra lutris nereis): Marine Mammal Science, v. 32, no. 2, p. 753-764, https://doi.org/10.1111/mms.12275.","productDescription":"12 p.","startPage":"753","endPage":"764","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065595","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":314311,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-27","publicationStatus":"PW","scienceBaseUri":"5698c6aee4b0fbd3f7fa4bd8","contributors":{"authors":[{"text":"Bentall, Gena B. 0000-0001-5448-1573","orcid":"https://orcid.org/0000-0001-5448-1573","contributorId":81813,"corporation":false,"usgs":true,"family":"Bentall","given":"Gena","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":588604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":588603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, Jessica M.","contributorId":152240,"corporation":false,"usgs":false,"family":"Kunz","given":"Jessica","email":"","middleInitial":"M.","affiliations":[{"id":18888,"text":"California Department of Fish and Wildlife, Marine Wildlife Veterinary Care and Research Ctr.","active":true,"usgs":false}],"preferred":false,"id":588605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Melissa A.","contributorId":57701,"corporation":false,"usgs":false,"family":"Miller","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":39007,"text":"CA Dept of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":588606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saunders, Gary W.","contributorId":152241,"corporation":false,"usgs":false,"family":"Saunders","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":588607,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaRoche, Nicole L. 0000-0003-3737-5714","orcid":"https://orcid.org/0000-0003-3737-5714","contributorId":152242,"corporation":false,"usgs":false,"family":"LaRoche","given":"Nicole L.","affiliations":[{"id":18890,"text":"formerly USGS Western Ecological Research Center, Santa Cruz Field Station","active":true,"usgs":false}],"preferred":false,"id":588608,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70162297,"text":"70162297 - 2016 - Deferrisoma paleochoriense sp. nov., a thermophilic, iron(III)-reducing bacterium from a shallow-water hydrothermal vent in the Mediterranean Sea","interactions":[],"lastModifiedDate":"2016-08-17T09:53:26","indexId":"70162297","displayToPublicDate":"2015-11-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2076,"text":"International Journal of Systematic and Evolutionary Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Deferrisoma paleochoriense sp. nov., a thermophilic, iron(III)-reducing bacterium from a shallow-water hydrothermal vent in the Mediterranean Sea","docAbstract":"A novel thermophilic, anaerobic, mixotrophic bacterium, designated strain MAG-PB1T, was isolated from a shallow-water hydrothermal vent system in Palaeochori Bay off the coast of the island of Milos, Greece. The cells were Gram-negative, rugose, short rods, approximately 1.0 μm long and 0.5 μm wide. Strain MAG-PB1T grew at 30–70 °C (optimum 60 °C), 0–50 g NaCl l− 1 (optimum 15–20 g l− 1) and pH 5.5–8.0 (optimum pH 6.0). Generation time under optimal conditions was 2.5 h. Optimal growth occurred under chemolithoautotrophic conditions with H2 as the energy source and CO2 as the carbon source. Fe(III), Mn(IV), arsenate and selenate were used as electron acceptors. Peptone, tryptone, Casamino acids, sucrose, yeast extract, d-fructose, α-d-glucose and ( − )-d-arabinose also served as electron donors. No growth occurred in the presence of lactate or formate. The G+C content of the genomic DNA was 66.7 mol%. Phylogenetic analysis of the 16S rRNA gene sequence indicated that this organism is closely related to Deferrisoma camini, the first species of a recently described genus in the Deltaproteobacteria. Based on the 16S rRNA gene phylogenetic analysis and on physiological, biochemical and structural characteristics, the strain was found to represent a novel species, for which the name Deferrisoma palaeochoriense sp. nov. is proposed. The type strain is MAG-PB1T ( = JCM 30394T = DSM 29363T).
\nClimatic conditions exert important control over the growth, productivity, and distribution of forests, and characterizing these relationships is essential for understanding how forest ecosystems will respond to climate change. We used dendrochronological methods to develop climate–growth relationships for two dominant species, Populus tremuloides (quaking aspen) and Pinus resinosa (red pine), in the upper Great Lakes region to understand how climate and water availability influence annual forest productivity. Trees were sampled along a topographic gradient at the Marcell Experimental Forest (Minnesota, USA) to assess growth response to variations in temperature and different water availability metrics (precipitation, potential evapotranspiration (PET), cumulative moisture index (CMI), and soil water storage). Climatic variables were able to explain 33–58% of the variation in annual growth (as measured by ring-width increment) for quaking aspen and 37–74% of the variation for red pine. Climate–growth relationships were influenced by topography for quaking aspen but not for red pine. Annual ring growth for quaking aspen decreased with June CMI on ridges, decreased with temperature in the November prior to the growing season on sideslopes, and decreased with June PET on toeslopes. Red pine growth increased with increasing July PET across all topographic positions. These results indicate the sensitivity of both quaking aspen and red pine to local climate and show several vulnerabilities of these species to shifts in water supply and temperature because of climate change.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/eco.1700","usgsCitation":"Dymond, S., D’Amato, A., Kolka, R., Bolstad, P., Sebestyen, S., and Bradford, J.B., 2016, Growth-climate relationships across topographic gradients in the northern Great Lakes: Ecohydrology, v. 9, no. 6, p. 918-929, https://doi.org/10.1002/eco.1700.","productDescription":"12 p.","startPage":"918","endPage":"929","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066811","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Marcell Experimental Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.52935791015625,\n 47.47521553520454\n ],\n [\n -93.52935791015625,\n 47.54756680933599\n ],\n [\n -93.41743469238281,\n 47.54756680933599\n ],\n [\n -93.41743469238281,\n 47.47521553520454\n ],\n [\n -93.52935791015625,\n 47.47521553520454\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-25","publicationStatus":"PW","scienceBaseUri":"56ed26b4e4b0f59b85db0a12","contributors":{"authors":[{"text":"Dymond, S.F.","contributorId":167646,"corporation":false,"usgs":false,"family":"Dymond","given":"S.F.","email":"","affiliations":[{"id":24789,"text":"Department of Forest Resources, University of Minnesota, Saint Paul, MN, USA","active":true,"usgs":false}],"preferred":false,"id":622995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, A.W.","contributorId":86577,"corporation":false,"usgs":true,"family":"D’Amato","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":622996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolka, R.K.","contributorId":46332,"corporation":false,"usgs":false,"family":"Kolka","given":"R.K.","email":"","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":622999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolstad, P.V.","contributorId":88977,"corporation":false,"usgs":true,"family":"Bolstad","given":"P.V.","affiliations":[],"preferred":false,"id":622997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sebestyen, S.D.","contributorId":16142,"corporation":false,"usgs":true,"family":"Sebestyen","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":622998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622994,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159802,"text":"70159802 - 2016 - A framework to assess biogeochemical response to ecosystem disturbance using nutrient partitioning ratios","interactions":[],"lastModifiedDate":"2017-11-22T17:37:32","indexId":"70159802","displayToPublicDate":"2015-11-24T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"A framework to assess biogeochemical response to ecosystem disturbance using nutrient partitioning ratios","docAbstract":"Disturbances affect almost all terrestrial ecosystems, but it has been difficult to identify general principles regarding these influences. To improve our understanding of the long-term consequences of disturbance on terrestrial ecosystems, we present a conceptual framework that analyzes disturbances by their biogeochemical impacts. We posit that the ratio of soil and plant nutrient stocks in mature ecosystems represents a characteristic site property. Focusing on nitrogen (N), we hypothesize that this partitioning ratio (soil N: plant N) will undergo a predictable trajectory after disturbance. We investigate the nature of this partitioning ratio with three approaches: (1) nutrient stock data from forested ecosystems in North America, (2) a process-based ecosystem model, and (3) conceptual shifts in site nutrient availability with altered disturbance frequency. Partitioning ratios could be applied to a variety of ecosystems and successional states, allowing for improved temporal scaling of disturbance events. The generally short-term empirical evidence for recovery trajectories of nutrient stocks and partitioning ratios suggests two areas for future research. First, we need to recognize and quantify how disturbance effects can be accreting or depleting, depending on whether their net effect is to increase or decrease ecosystem nutrient stocks. Second, we need to test how altered disturbance frequencies from the present state may be constructive or destructive in their effects on biogeochemical cycling and nutrient availability. Long-term studies, with repeated sampling of soils and vegetation, will be essential in further developing this framework of biogeochemical response to disturbance.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-015-9934-1","usgsCitation":"Kranabetter, J.M., McLauchlan, K.K., Enders, S.K., Fraterrigo, J.M., Higuera, P., Morris, J.L., Rastetter, E.B., Barnes, R., Buma, B., Gavin, D.G., Gerhart, L.M., Gillson, L., Hietz, P., Mack, M., McNeil, B., and Perakis, S.S., 2016, A framework to assess biogeochemical response to ecosystem disturbance using nutrient partitioning ratios: Ecosystems, v. 19, no. 3, p. 387-395, https://doi.org/10.1007/s10021-015-9934-1.","productDescription":"9 p.","startPage":"387","endPage":"395","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065126","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471424,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/7970","text":"External Repository"},{"id":311683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-18","publicationStatus":"PW","scienceBaseUri":"56558a2ce4b071e7ea53ded9","contributors":{"authors":[{"text":"Kranabetter, J. Marty","contributorId":139164,"corporation":false,"usgs":false,"family":"Kranabetter","given":"J.","email":"","middleInitial":"Marty","affiliations":[{"id":12670,"text":"British Columbia Ministry of Natural Resources and Operations","active":true,"usgs":false}],"preferred":false,"id":580521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLauchlan, Kendra K.","contributorId":7994,"corporation":false,"usgs":true,"family":"McLauchlan","given":"Kendra","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":580522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enders, Sara K.","contributorId":85499,"corporation":false,"usgs":true,"family":"Enders","given":"Sara","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":580523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraterrigo, Jennifer M.","contributorId":150046,"corporation":false,"usgs":false,"family":"Fraterrigo","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":580524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higuera, Philip E.","contributorId":100741,"corporation":false,"usgs":true,"family":"Higuera","given":"Philip E.","affiliations":[],"preferred":false,"id":580525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morris, Jesse L.","contributorId":44829,"corporation":false,"usgs":true,"family":"Morris","given":"Jesse","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":580526,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rastetter, Edward B.","contributorId":9227,"corporation":false,"usgs":true,"family":"Rastetter","given":"Edward","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":580527,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnes, Rebecca","contributorId":150047,"corporation":false,"usgs":false,"family":"Barnes","given":"Rebecca","affiliations":[],"preferred":false,"id":580528,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buma, Brian","contributorId":30134,"corporation":false,"usgs":true,"family":"Buma","given":"Brian","email":"","affiliations":[],"preferred":false,"id":580529,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gavin, Daniel G.","contributorId":98213,"corporation":false,"usgs":true,"family":"Gavin","given":"Daniel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":580530,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gerhart, Laci M.","contributorId":150048,"corporation":false,"usgs":false,"family":"Gerhart","given":"Laci","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":580531,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gillson, Lindsey","contributorId":150049,"corporation":false,"usgs":false,"family":"Gillson","given":"Lindsey","email":"","affiliations":[],"preferred":false,"id":580532,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hietz, Peter","contributorId":150050,"corporation":false,"usgs":false,"family":"Hietz","given":"Peter","email":"","affiliations":[],"preferred":false,"id":580533,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mack, Michelle C.","contributorId":62114,"corporation":false,"usgs":true,"family":"Mack","given":"Michelle C.","affiliations":[],"preferred":false,"id":580534,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McNeil, Brenden","contributorId":150051,"corporation":false,"usgs":false,"family":"McNeil","given":"Brenden","email":"","affiliations":[],"preferred":false,"id":580535,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":580519,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70159960,"text":"70159960 - 2016 - Phylogenetic relationships of Iranian infectious hematopoietic necrosis virus of rainbow trout (Oncorhynchus mykiss) based on the glycoprotein gene","interactions":[],"lastModifiedDate":"2016-12-19T11:53:59","indexId":"70159960","displayToPublicDate":"2015-11-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":892,"text":"Archives of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenetic relationships of Iranian infectious hematopoietic necrosis virus of rainbow trout (Oncorhynchus mykiss) based on the glycoprotein gene","docAbstract":"Infectious hematopoietic necrosis virus (IHNV), a member of family Rhabdoviridae and genus Novirhabdoviridae, causes a highly lethal disease of salmon and trout. In Iran IHNV was first detected in 2001 on farms rearing rainbow trout (Oncorhynchus mykiss). To evaluate the genetic relationships of IHNV from northern and western Iran, the sequences of a 651-nt region of the glycoprotein gene were determined for two Iranian isolates. These sequences were analyzed to evaluate their genetic relatedness to worldwide isolates representing the five known genogroups of IHNV. Iranian isolates were most closely related to European isolates within the genogroup E rather than those of North American genogroups U, M and L, or the Asian genogroup J. It appears that Iranian IHNV was most likely introduced to Iran from a source in Europe by the movement of contaminated fish eggs.
","language":"English","publisher":"Springer","doi":"10.1007/s00705-015-2684-8","usgsCitation":"Adel, M., Amiri, A.B., Dada, M., Kurath, G., Laktarashi, B., Ghajari, A., and Breyta, R., 2016, Phylogenetic relationships of Iranian infectious hematopoietic necrosis virus of rainbow trout (Oncorhynchus mykiss) based on the glycoprotein gene: Archives of Virology, v. 161, no. 3, p. 657-663, https://doi.org/10.1007/s00705-015-2684-8.","productDescription":"7 p.","startPage":"657","endPage":"663","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066527","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":311941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-24","publicationStatus":"PW","scienceBaseUri":"5662c755e4b06a3ea36c67c4","contributors":{"authors":[{"text":"Adel, Milad","contributorId":150269,"corporation":false,"usgs":false,"family":"Adel","given":"Milad","email":"","affiliations":[{"id":17948,"text":"Department of Aquatic Animal Health and Diseases, Iranian Fisheries Research Center, Tehran, Iran","active":true,"usgs":false}],"preferred":false,"id":581197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amiri, Alireza Babaalian","contributorId":150270,"corporation":false,"usgs":false,"family":"Amiri","given":"Alireza","email":"","middleInitial":"Babaalian","affiliations":[{"id":17949,"text":"Department of Aquatic Animal Health and Diseases, Iranian Veterinary Organization, Sari, Iran","active":true,"usgs":false}],"preferred":false,"id":581198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dada, Maryam","contributorId":150271,"corporation":false,"usgs":false,"family":"Dada","given":"Maryam","email":"","affiliations":[{"id":17950,"text":"Center of Biotechnology and Biology Research, Chamran University Ahvaz, Iran","active":true,"usgs":false}],"preferred":false,"id":581199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":581196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laktarashi, Bahram","contributorId":150272,"corporation":false,"usgs":false,"family":"Laktarashi","given":"Bahram","email":"","affiliations":[{"id":17951,"text":"Department of Aquatic Animal Health and Diseases, Iranian Veternary Organization, Sari, Iran","active":true,"usgs":false}],"preferred":false,"id":581200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ghajari, Amrolah","contributorId":150273,"corporation":false,"usgs":false,"family":"Ghajari","given":"Amrolah","email":"","affiliations":[{"id":17952,"text":"Department of Aquatic Animal Health and Diseases, Iranian Veterinary Organization, Thran, Iran","active":true,"usgs":false}],"preferred":false,"id":581201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breyta, Rachel","contributorId":150355,"corporation":false,"usgs":false,"family":"Breyta","given":"Rachel","affiliations":[],"preferred":false,"id":581350,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160807,"text":"70160807 - 2016 - Effect of stocking sub-yearling Atlantic salmon on the habitat use of sub-yearling rainbow trout","interactions":[],"lastModifiedDate":"2016-02-11T11:04:17","indexId":"70160807","displayToPublicDate":"2015-11-24T00:00:00","publicationYear":"2016","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":"Effect of stocking sub-yearling Atlantic salmon on the habitat use of sub-yearling rainbow trout","docAbstract":"Atlantic salmon (Salmo salar) restoration in the Lake Ontario watershed may depend on the species' ability to compete with naturalized non-native salmonids, including rainbow trout (Oncorhynchus mykiss) in Lake Ontario tributaries. This study examined interspecific habitat associations between sub-yearling Atlantic salmon and rainbow trout as well as the effect of salmon stocking on trout habitat in two streams in the Lake Ontario watershed. In sympatry, Atlantic salmon occupied significantly faster velocities and deeper areas than rainbow trout. However, when examining the habitat use of rainbow trout at all allopatric and sympatric sites in both streams, trout habitat use was more diverse at the sympatric sites with an orientation for increased cover and larger substrate. In Grout Brook, where available habitat remained constant, there was evidence suggesting that trout may have shifted to slower and shallower water in the presence of salmon. The ability of sub-yearling Atlantic salmon to affect a habitat shift in rainbow trout may be due to their larger body size and/or larger pectoral fin size. Future studies examining competitive interactions between these species during their first year of stream residence should consider the size advantage that earlier emerging Atlantic salmon will have over rainbow trout.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.11.002","usgsCitation":"Johnson, J.H., 2016, Effect of stocking sub-yearling Atlantic salmon on the habitat use of sub-yearling rainbow trout: Journal of Great Lakes Research, v. 42, no. 1, p. 116-126, https://doi.org/10.1016/j.jglr.2015.11.002.","productDescription":"11 p.","startPage":"116","endPage":"126","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066886","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313099,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jglr.2015.11.002"}],"country":"United States","state":"New York","otherGeospatial":"Orwell Brook; Grout Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.03663444519043,\n 43.583437423271334\n ],\n [\n -76.03852272033691,\n 43.578276820098864\n ],\n [\n -76.03775024414062,\n 43.572245193194306\n ],\n [\n -76.03714942932129,\n 43.56770552917119\n ],\n [\n -76.03766441345215,\n 43.56154845184283\n ],\n [\n -76.03835105895996,\n 43.55638597276051\n ],\n [\n -76.04135513305664,\n 43.5505387755674\n ],\n [\n -76.04633331298828,\n 43.546495169127084\n ],\n [\n -76.04779243469238,\n 43.54126918362085\n ],\n [\n -76.04830741882324,\n 43.53946486913873\n ],\n [\n -76.04667663574219,\n 43.53902933686358\n ],\n [\n -76.04264259338379,\n 43.54605968763826\n ],\n [\n -76.03740692138672,\n 43.54767717445222\n ],\n [\n -76.03199958801268,\n 43.554582110736824\n ],\n [\n -76.03337287902832,\n 43.56210821214949\n ],\n [\n -76.03354454040527,\n 43.57454598813078\n ],\n [\n -76.03483200073242,\n 43.583686115866215\n ],\n [\n -76.0367202758789,\n 43.584432187486684\n ],\n [\n -76.03663444519043,\n 43.583437423271334\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.27361297607422,\n 42.76516228327467\n ],\n [\n -76.27017974853516,\n 42.74171738972088\n ],\n [\n -76.25850677490234,\n 42.720029272904036\n ],\n [\n -76.2396240234375,\n 42.69808125234982\n ],\n [\n -76.22245788574219,\n 42.69252994883861\n ],\n [\n -76.2125015258789,\n 42.70237055608708\n ],\n [\n -76.22795104980469,\n 42.77801539483678\n ],\n [\n -76.23619079589842,\n 42.78809440020518\n ],\n [\n -76.24202728271484,\n 42.78607873040044\n ],\n [\n -76.27017974853516,\n 42.76743067325221\n ],\n [\n -76.27361297607422,\n 42.76516228327467\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56865fc3e4b0e7594ee74cbf","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583980,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159785,"text":"70159785 - 2016 - Complex mixtures, complex responses: Assessing pharmaceutical mixtures using field and laboratory approaches","interactions":[],"lastModifiedDate":"2018-08-07T12:20:06","indexId":"70159785","displayToPublicDate":"2015-11-23T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Complex mixtures, complex responses: Assessing pharmaceutical mixtures using field and laboratory approaches","docAbstract":"Pharmaceuticals are present in low concentrations (<100 ng/L) in most municipal wastewater effluents but may be elevated locally because of factors such as input from pharmaceutical formulation facilities. Using existing concentration data, the authors assessed pharmaceuticals in laboratory exposures of fathead minnows (Pimephales promelas) and added environmental complexity through effluent exposures. In the laboratory, larval and mature minnows were exposed to a simple opioid mixture (hydrocodone, methadone, and oxycodone), an opioid agonist (tramadol), a muscle relaxant (methocarbamol), a simple antidepressant mixture (fluoxetine, paroxetine, venlafaxine), a sleep aid (temazepam), or a complex mixture of all compounds. Larval minnow response to effluent exposure was not consistent. The 2010 exposures resulted in shorter exposed minnow larvae, whereas the larvae exposed in 2012 exhibited altered escape behavior. Mature minnows exhibited altered hepatosomatic indices, with the strongest effects in females and in mixture exposures. In addition, laboratory-exposed, mature male minnows exposed to all pharmaceuticals (except the selective serotonin reuptake inhibitor mixture) defended nest sites less rigorously than fish in the control group. Tramadol or antidepressant mixture exposure resulted in increased splenic T lymphocytes. Only male minnows exposed to whole effluent responded with increased plasma vitellogenin concentrations. Female minnows exposed to pharmaceuticals (except the opioid mixture) had larger livers, likely as a compensatory result of greater prominence of vacuoles in liver hepatocytes. The observed alteration of apical endpoints central to sustaining fish populations confirms that effluents containing waste streams from pharmaceutical formulation facilities can adversely impact fish populations but that the effects may not be temporally consistent. The present study highlights the importance of including diverse biological endpoints spanning levels of biological organization and life stages when assessing contaminant interactions.
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