The influence of water levels on population characteristics of yellow perch, Perca flavescens (Mitchill), and walleye, Sander vitreus (Mitchill), was evaluated across a range of glacial lakes in north-eastern South Dakota, USA. Results showed that natural variation in water levels had an important influence on frequently measured fish population characteristics. Yellow perch abundance was significantly (P<0.10) greater during elevated water levels. Yellow perch size structure, as indexed by the proportional size distribution of quality- and preferred-length fish (PSD and PSD-P), was significantly greater during low-water years, as was walleye PSD. Mean relative weight of walleye increased significantly during high-water periods. The dynamic and unpredictable nature of water-level fluctuations in glacial lakes ultimately adds complexity to management of these systems.
","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1111/fme.12047","usgsCitation":"Dembkowski, D., Chipps, S.R., and Blackwell, B.G., 2014, Response of walleye and yellow perch to water-level fluctuations in glacial lakes: Fisheries Management and Ecology, v. 21, no. 2, p. 89-95, https://doi.org/10.1111/fme.12047.","productDescription":"7 p.","startPage":"89","endPage":"95","ipdsId":"IP-038632","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Bitter Lake, Cattail-Kettle Lake, Clear Lake, Enemy Swim Lake, Kampeska Lake, Lynn Lake, Poinsett Lake, Roy Lake, Waubay Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.95135498046875,\n 44.49454617990028\n ],\n [\n -96.8609619140625,\n 44.49454617990028\n ],\n [\n -96.8609619140625,\n 45.93778073466329\n ],\n [\n -97.95135498046875,\n 45.93778073466329\n ],\n [\n -97.95135498046875,\n 44.49454617990028\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-19","publicationStatus":"PW","scienceBaseUri":"5a0425c6e4b0dc0b45b45424","contributors":{"authors":[{"text":"Dembkowski, D.J.","contributorId":31995,"corporation":false,"usgs":true,"family":"Dembkowski","given":"D.J.","affiliations":[],"preferred":false,"id":721103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, B. G.","contributorId":191556,"corporation":false,"usgs":false,"family":"Blackwell","given":"B.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134485,"text":"70134485 - 2014 - Understanding relationships among abundance, extirpation, and climate at ecoregional scales","interactions":[],"lastModifiedDate":"2020-12-28T12:38:28.44094","indexId":"70134485","displayToPublicDate":"2013-07-01T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Understanding relationships among abundance, extirpation, and climate at ecoregional scales","docAbstract":"Recent research on mountain-dwelling species has illustrated changes in species’ distributional patterns in response to climate change. Abundance of a species will likely provide an earlier warning indicator of change than will occupancy, yet relationships between abundance and climatic factors have received less attention. We tested whether predictors of counts of American pikas (Ochotona princeps) during surveys from the Great Basin region in 1994–1999 and 2003–2008 differed between the two periods. Additionally, we tested whether various modeled aspects of ecohydrology better predicted relative density than did average annual precipitation, and whether risk of site-wide extirpation predicted subsequent population counts of pikas. We observed several patterns of change in pika abundance at range edges that likely constitute early warnings of distributional shifts. Predictors of pika abundance differed strongly between the survey periods, as did pika extirpation patterns previously reported from this region. Additionally, maximum snowpack and growing-season precipitation resulted in better-supported models than those using average annual precipitation, and constituted two of the top three predictors of pika density in the 2000s surveys (affecting pikas perhaps via vegetation). Unexpectedly, we found that extirpation risk positively predicted subsequent population size. Our results emphasize the need to clarify mechanisms underlying biotic responses to recent climate change at organism-relevant scales, to inform management and conservation strategies for species of concern.
","language":"English","publisher":"Brooklyn Botanical Garden","doi":"10.1890/12-2174.1","usgsCitation":"Beever, E.A., Long, J., Piekielek, N.B., Dubrowski, S., and Mysnberge, A., 2014, Understanding relationships among abundance, extirpation, and climate at ecoregional scales: Ecology, v. 94, no. 7, p. 1563-1571, https://doi.org/10.1890/12-2174.1.","productDescription":"9 p.","startPage":"1563","endPage":"1571","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038736","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/12-2174.1","text":"Publisher Index Page"},{"id":296385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2d7e4b09357f05f8a78","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mysnberge, A.","contributorId":127625,"corporation":false,"usgs":false,"family":"Mysnberge","given":"A.","email":"","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":526026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, J.","contributorId":127626,"corporation":false,"usgs":false,"family":"Long","given":"J.","email":"","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":526027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubrowski, Solomon","contributorId":127627,"corporation":false,"usgs":false,"family":"Dubrowski","given":"Solomon","email":"","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":526028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piekielek, N. B.","contributorId":127648,"corporation":false,"usgs":false,"family":"Piekielek","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":526110,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048524,"text":"70048524 - 2014 - Spawning related movement of shovelnose sturgeon in the Missouri River above Fort Peck Reservoir, Montana","interactions":[],"lastModifiedDate":"2014-01-13T10:28:08","indexId":"70048524","displayToPublicDate":"2013-07-01T11:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Spawning related movement of shovelnose sturgeon in the Missouri River above Fort Peck Reservoir, Montana","docAbstract":"The hypotheses of this study were (i) that shovelnose sturgeon would make upstream movements to spawn, (ii) movement of spawning fish would be greater in a year with higher discharge, and (iii) that spawning fish would have greater movements than reproductively inactive fish. Shovelnose sturgeon Scaphirhynchus platorynchus (Rafinesque, 1820) in five reproductive categories (e.g. males, confirmed spawning females, potentially spawning females, atretic females, and reproductively inactive females) were tracked in 2008 and 2009. All reproductive categories, except reproductively inactive females, exhibited large-scale movements and had omnidirectional movements. No differences in movement rates were observed in confirmed spawning females between years despite a 45% higher peak discharge in 2008 (839 m3 s−1) than in 2009 (578 m3 s−1). A peak discharge was obtained at a faster rate in 2008 (165 m3 s−1 day−1) than in 2009 (39 m3 s−1 day−1), and high discharge was of greater duration in 2008. Reproductively inactive females did not exhibit large-scale movements and their movement rate differed from other reproductive categories. Shovelnose sturgeon spawned in both years, despite highly varying hydrographs between years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jai.12336","usgsCitation":"Richards, R.R., Guy, C.S., Webb, M.A., Gardner, W., and Jensen, C., 2014, Spawning related movement of shovelnose sturgeon in the Missouri River above Fort Peck Reservoir, Montana: Journal of Applied Ichthyology, v. 30, no. 1, p. 1-13, https://doi.org/10.1111/jai.12336.","productDescription":"13 p.","startPage":"1","endPage":"13","numberOfPages":"13","ipdsId":"IP-051977","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":278381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278380,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jai.12336"}],"country":"United States","state":"Montana","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.095757,48.197348 ], [ -111.095757,48.318365 ], [ -110.607824,48.318365 ], [ -110.607824,48.197348 ], [ -111.095757,48.197348 ] ] ] } } ] }","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-19","publicationStatus":"PW","scienceBaseUri":"526a4175e4b0c0d229f9f6b6","contributors":{"authors":[{"text":"Richards, Ryan R.","contributorId":84260,"corporation":false,"usgs":true,"family":"Richards","given":"Ryan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":484954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Molly A.","contributorId":61327,"corporation":false,"usgs":true,"family":"Webb","given":"Molly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, William M.","contributorId":81401,"corporation":false,"usgs":true,"family":"Gardner","given":"William M.","affiliations":[],"preferred":false,"id":484956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, C.B.","contributorId":94964,"corporation":false,"usgs":true,"family":"Jensen","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":484958,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045551,"text":"70045551 - 2014 - Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","interactions":[],"lastModifiedDate":"2014-01-06T09:53:59","indexId":"70045551","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1538,"text":"Environmental Geochemistry and Health","active":true,"publicationSubtype":{"id":10}},"title":"Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy","docAbstract":"Stream sediment, stream water, and fish were collected from a broad region to evaluate downstream transport and dispersion of mercury (Hg) from inactive mines in the Monte Amiata Hg District (MAMD), Tuscany, Italy. Stream sediment samples ranged in Hg concentration from 20 to 1,900 ng/g, and only 5 of the 17 collected samples exceeded the probable effect concentration for Hg of 1,060 ng/g, above which harmful effects are likely to be observed in sediment-dwelling organisms. Concentrations of methyl-Hg in Tiber River sediment varied from 0.12 to 0.52 ng/g, and although there is no established guideline for sediment methyl-Hg, these concentrations exceeded methyl-Hg in a regional baseline site (<0.02 ng/g). Concentrations of Hg in stream water varied from 1.2 to 320 ng/L, all of which were below the 1,000 ng/L Italian drinking water Hg guideline and the 770 ng/L U.S. Environmental Protection Agency (USEPA) guideline recommended to protect against chronic effects to aquatic wildlife. Methyl-Hg concentrations in stream water varied from <0.02 to 0.53 ng/L and were generally elevated compared to the baseline site (<0.02 ng/L). All stream water samples contained concentrations of As (<1.0–6.2 μg/L) and Sb (<0.20–0.37 μg/L) below international drinking water guidelines to protect human health (10 μg/L for As and 20 μg/L for Sb) and for protection against chronic effects to aquatic wildlife (150 μg/L for As and 5.6 μg/L for Sb). Concentrations of Hg in freshwater fish muscle ranged from 0.052–0.56 μg/g (wet weight), mean of 0.17 μg/g, but only 17 % (9 of 54) exceeded the 0.30 μg/g (wet weight) USEPA fish muscle guideline recommended to protect human health. Concentrations of Hg in freshwater fish in this region generally decreased with increasing distance from the MAMD, where fish with the highest Hg concentrations were collected more proximal to the MAMD, whereas all fish collected most distal from Hg mines contained Hg below the 0.30 μg/g fish muscle guideline. Data in this study indicate some conversion of inorganic Hg to methyl-Hg and uptake of Hg in fish on the Paglia River, but less methylation of Hg and Hg uptake by freshwater fish in the larger Tiber River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geochemistry and Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10653-013-9525-z","usgsCitation":"Gray, J.E., Rimondi, V., Costagliola, P., Vaselli, O., and Lattanzi, P., 2014, Long-distance transport of Hg, Sb, and As from a mined area, conversion of Hg to methyl-Hg, and uptake of Hg by fish on the Tiber River basin, west-central Italy: Environmental Geochemistry and Health, v. 36, no. 1, p. 145-157, https://doi.org/10.1007/s10653-013-9525-z.","productDescription":"13 p.","startPage":"145","endPage":"157","numberOfPages":"13","ipdsId":"IP-045177","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":274096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274095,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10653-013-9525-z"}],"country":"Italy","otherGeospatial":"Tiber River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.49 ], [ 6.63,47.09 ], [ 18.52,47.09 ], [ 18.52,35.49 ], [ 6.63,35.49 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-12","publicationStatus":"PW","scienceBaseUri":"51c95c5ae4b0a50a6e8f57b4","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rimondi, Valentina","contributorId":27772,"corporation":false,"usgs":true,"family":"Rimondi","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":477831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costagliola, Pilario","contributorId":106404,"corporation":false,"usgs":true,"family":"Costagliola","given":"Pilario","email":"","affiliations":[],"preferred":false,"id":477834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaselli, Orlando","contributorId":97804,"corporation":false,"usgs":true,"family":"Vaselli","given":"Orlando","email":"","affiliations":[],"preferred":false,"id":477833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lattanzi, Pierfranco","contributorId":87845,"corporation":false,"usgs":true,"family":"Lattanzi","given":"Pierfranco","affiliations":[],"preferred":false,"id":477832,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046260,"text":"70046260 - 2014 - Skin pathology in Hawaiian goldring surgeonfish, Ctenochaetus strigosus (Bennett)","interactions":[],"lastModifiedDate":"2017-10-04T09:44:46","indexId":"70046260","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Skin pathology in Hawaiian goldring surgeonfish, Ctenochaetus strigosus (Bennett)","docAbstract":"Twenty-eight goldring surgeonfish, Ctenochaetus strigosus (Bennett), manifesting skin lesions and originating from the north-western and main Hawaiian Islands were examined. Skin lesions were amorphous and ranged from simple dark or light discolouration to multicoloured tan to white sessile masses with an undulant surface. Skin lesions covered 2–66% of the fish surface, and there was no predilection for lesions affecting a particular part of the fish. Males appeared over-represented. Microscopy revealed the skin lesions to be hyperplasia, melanophoromas or iridophoromas. The presence of skin tumours in a relatively unspoiled area of Hawaii is intriguing. Explaining their distribution, cause and impact on survivorship of fish all merit further study because C. strigosus is an economically important fish in the region.
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Biology","active":true,"usgs":false}],"preferred":false,"id":479341,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058702,"text":"70058702 - 2014 - Climate change influences on marine infectious diseases: implications for management and society","interactions":[],"lastModifiedDate":"2014-01-06T10:04:58","indexId":"70058702","displayToPublicDate":"2013-06-01T09:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":811,"text":"Annual Review of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Climate change influences on marine infectious diseases: implications for management and society","docAbstract":"Infectious diseases are common in marine environments, but the effects of a changing climate on marine pathogens are not well understood. Here, we focus on reviewing current knowledge about how the climate drives hostpathogen interactions and infectious disease outbreaks. Climate-related impacts on marine diseases are being documented in corals, shellfish, finfish, and humans; these impacts are less clearly linked to other organisms. Oceans and people are inextricably linked, and marine diseases can both directly and indirectly affect human health, livelihoods, and well-being. We recommend an adaptive management approach to better increase the resilience of ocean systems vulnerable to marine diseases in a changing climate. Land-based management methods of quarantining, culling, and vaccinating are not successful in the ocean; therefore, forecasting conditions that lead to outbreaks and designing tools/approaches to influence these conditions may be the best way to manage marine disease.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annual Review of Marine Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-marine-010213-135029","usgsCitation":"Burge, C.A., Eakin, C.M., Friedman, C., Froelich, B., Hershberger, P., Hofmann, E.E., Petes, L.E., Prager, K.C., Weil, E., Willis, B.L., Ford, S.E., and Harvell, C.D., 2014, Climate change influences on marine infectious diseases: implications for management and society: Annual Review of Marine Science, v. 6, p. 249-277, https://doi.org/10.1146/annurev-marine-010213-135029.","productDescription":"29 p.","startPage":"249","endPage":"277","numberOfPages":"29","ipdsId":"IP-045162","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-marine-010213-135029","text":"Publisher Index Page"},{"id":280253,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1146/annurev-marine-010213-135029"},{"id":280262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5143e4b0b290850f3d2e","contributors":{"authors":[{"text":"Burge, Colleen A.","contributorId":34814,"corporation":false,"usgs":true,"family":"Burge","given":"Colleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eakin, C. Mark","contributorId":93372,"corporation":false,"usgs":true,"family":"Eakin","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":487262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Carolyn S.","contributorId":13890,"corporation":false,"usgs":true,"family":"Friedman","given":"Carolyn S.","affiliations":[],"preferred":false,"id":487255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Froelich, Brett","contributorId":72288,"corporation":false,"usgs":true,"family":"Froelich","given":"Brett","email":"","affiliations":[],"preferred":false,"id":487260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul K. phershberger@usgs.gov","contributorId":1945,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul K.","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":487253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hofmann, Eileen E.","contributorId":55726,"corporation":false,"usgs":true,"family":"Hofmann","given":"Eileen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petes, Laura E.","contributorId":68638,"corporation":false,"usgs":true,"family":"Petes","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prager, Katherine C.","contributorId":8366,"corporation":false,"usgs":true,"family":"Prager","given":"Katherine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487254,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weil, Ernesto","contributorId":105212,"corporation":false,"usgs":true,"family":"Weil","given":"Ernesto","affiliations":[],"preferred":false,"id":487264,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Willis, Bette L.","contributorId":86467,"corporation":false,"usgs":true,"family":"Willis","given":"Bette","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487261,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ford, Susan E.","contributorId":40115,"corporation":false,"usgs":true,"family":"Ford","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487257,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Harvell, C. Drew","contributorId":93614,"corporation":false,"usgs":true,"family":"Harvell","given":"C.","email":"","middleInitial":"Drew","affiliations":[],"preferred":false,"id":487263,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70101266,"text":"70101266 - 2014 - Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","interactions":[],"lastModifiedDate":"2020-03-05T12:22:08","indexId":"70101266","displayToPublicDate":"2013-05-28T10:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","docAbstract":"Rainbow Smelt Osmerus mordax are the second most abundant pelagic prey fish in Lake Ontario after Alewife Alosa psuedoharengus. The 2013, USGS/NYSDEC bottom trawl assessment indicated the abundance of Lake Ontario age-1 and older Rainbow Smelt decreased by 69% relative to 2012. Length frequency-based age analysis indicated that age-1 Rainbow Smelt constituted approximately 50% of the population, which is similar to recent trends where the proportion of age-1 has ranged from 95% to 42% of the population. While they constituted approximately half of the catch, the overall abundance index for age 1 was one of the lowest observed in the time series, potentially a result of cannibalism from the previous year class. Combined data from all bottom trawl assessments along the southern shore and eastern basin indicate the proportion of the fish community that is Rainbow Smelt has declined over the past 30 years. In 2013 the proportion of the pelagic fish catch (only pelagic species) that was Rainbow Smelt was the second lowest in the time series at 3.1%. Community diversity indices, based on bottom trawl catches, indicate that Lake Ontario fish community diversity, as assessed by bottom trawls, has sharply declined over the past 36 years and in 2013 the index was the lowest value in the time series. Much of this community diversity decline is driven by changes in the pelagic fish community and dominance of Alewife.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2013 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 26-27, 2014","conferenceLocation":"Windsor, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., and Connerton, M., 2014, Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013: NYSDEC Lake Ontario Annual Report 2013, 5 p.","productDescription":"5 p.","startPage":"12-11","endPage":"12- 15","ipdsId":"IP-055072","costCenters":[{"id":324,"text":"Great Lakes Science 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USA","interactions":[],"lastModifiedDate":"2023-06-01T17:03:35.761076","indexId":"70046002","displayToPublicDate":"2013-05-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA","docAbstract":"Streams crossing underground coal mines may lose flow, while abandoned mine drainage (AMD) restores flow downstream. During 2005-12, discharge from the Pine Knot Mine Tunnel, the largest AMD source in the upper Schuylkill River Basin, had near-neutral pH and elevated concentrations of iron, manganese, and sulfate. Discharge from the tunnel responded rapidly to recharge but exhibited a prolonged recession compared to nearby streams, consistent with rapid infiltration and slow release of groundwater from the mine. Downstream of the AMD, dissolved iron was attenuated by oxidation and precipitation while dissolved CO2 degassed and pH increased. During high-flow conditions, the AMD and downstream waters exhibited decreased pH, iron, and sulfate with increased acidity that were modeled by mixing net-alkaline AMD with recharge or runoff having low ionic strength and low pH. Attenuation of dissolved iron within the river was least effective during high-flow conditions because of decreased transport time coupled with inhibitory effects of low pH on oxidation kinetics.
\nA numerical model of groundwater flow was calibrated using groundwater levels in the Pine Knot Mine and discharge data for the Pine Knot Mine Tunnel and the West Branch Schuylkill River during a snowmelt event in January 2012. Although the calibrated model indicated substantial recharge to the mine complex took place away from streams, simulation of rapid changes in mine pool level and tunnel discharge during a high flow event in May 2012 required a source of direct recharge to the Pine Knot Mine. Such recharge produced small changes in mine pool level and rapid changes in tunnel flow rate because of extensive unsaturated storage capacity and high transmissivity within the mine complex. Thus, elimination of stream leakage could have a small effect on the annual discharge from the tunnel, but a large effect on peak discharge and associated water quality in streams.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9885","usgsCitation":"Cravotta, C.A., Goode, D., Bartles, M.D., Risser, D.W., and Galeone, D.G., 2014, Surface-water and groundwater interactions in an extensively mined watershed, upper Schuylkill River, Pennsylvania, USA: Hydrological Processes, v. 28, no. 10, p. 3574-3601, https://doi.org/10.1002/hyp.9885.","productDescription":"28 p.","startPage":"3574","endPage":"3601","numberOfPages":"28","ipdsId":"IP-042703","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":272349,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Schuylkill River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.52,39.72 ], [ -80.52,42.27 ], [ -74.69,42.27 ], [ -74.69,39.72 ], [ -80.52,39.72 ] ] ] } } ] }","volume":"28","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-21","publicationStatus":"PW","scienceBaseUri":"51974368e4b09a9cb58d5ee2","contributors":{"authors":[{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartles, Michael D.","contributorId":34405,"corporation":false,"usgs":true,"family":"Bartles","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478664,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70140923,"text":"70140923 - 2014 - The Mussel Watch California pilot study on contaminants of emerging concern (CECs): synthesis and next steps","interactions":[],"lastModifiedDate":"2018-09-18T16:11:36","indexId":"70140923","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The Mussel Watch California pilot study on contaminants of emerging concern (CECs): synthesis and next steps","docAbstract":"A multiagency pilot study on mussels (Mytilus spp.) collected at 68 stations in California revealed that 98% of targeted contaminants of emerging concern (CECs) were infrequently detectable at concentrations ⩽1 ng/g. Selected chemicals found in commercial and consumer products were more frequently detected at mean concentrations up to 470 ng/g dry wt. The number of CECs detected and their concentrations were greatest for stations categorized as urban or influenced by storm water discharge. Exposure to a broader suite of CECs was also characterized by passive sampling devices (PSDs), with estimated water concentrations of hydrophobic compounds correlated with Mytilus concentrations. The results underscore the need for focused CEC monitoring in coastal ecosystems and suggest that PSDs are complementary to bivalves in assessing water quality. Moreover, the partnership established among participating agencies led to increased spatial coverage, an expanded list of analytes and a more efficient use of available resources.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.04.023","usgsCitation":"Maruya, K.A., Dodder, N.G., Weisberg, S., Gregorio, D., Bishop, J.S., Klosterhaus, S., Alvarez, D.A., Furlong, E.T., Bricker, S.B., Kimbrough, K.L., and Lauenstein, G.G., 2014, The Mussel Watch California pilot study on contaminants of emerging concern (CECs): synthesis and next steps: Marine Pollution Bulletin, v. 81, no. 2, p. 355-363, https://doi.org/10.1016/j.marpolbul.2013.04.023.","productDescription":"9 p.","startPage":"355","endPage":"363","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059981","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Native mussels (Mytilus spp.) from 68 stations, stratified by land use and discharge scenario, were collected in 2009–10 and analyzed for 167 individual pharmaceuticals, industrial and commercial chemicals and current use pesticides. Passive sampling devices (PSDs) and caged Mytilus were co-deployed to expand the list of CECs, and to assess the ability of PSDs to mimic bioaccumulation by Mytilus. A performance-based quality assurance/quality control (QA/QC) approach was developed to ensure a high degree of data quality, consistency and comparability. Data management and analysis were streamlined and standardized using automated software tools. This pioneering study will help shape future monitoring efforts in California’s coastal ecosystems, while serving as a model for monitoring CECs within the region and across the nation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.04.027","usgsCitation":"Maruya, K.A., Dodder, N.G., Schaffner, R.A., Weisberg, S., Gregorio, D., Klosterhaus, S., Alvarez, D.A., Furlong, E.T., Kimbrough, K.L., Lauenstein, G.G., and Christensen, J., 2014, Refocusing Mussel Watch on contaminants of emerging concern (CECs): the California pilot study (2009-10): Marine Pollution Bulletin, v. 81, no. 2, p. 334-339, https://doi.org/10.1016/j.marpolbul.2013.04.027.","productDescription":"6 p.","startPage":"334","endPage":"339","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059987","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Guidance on how to manage rivers is urgently needed. Thankfully, a new book written by Dr. Angela Arthington: “Environmental Flows: Saving Rivers in the Third Millennium” takes a detailed look at rivers and how we can understand, manage, and restore them. This book is a very broad and comprehensive overview, organized into a series of 22 relatively concise chapters, beginning with an overview of the value of rivers and their current state of imperilment. This chapter sets the stage for understanding the range and magnitude of the challenges we face in saving rivers. For the purposes of this review, I partitioned my discussion of the book into several sections comprising a series of chapters that I felt addressed major themes related to environmental flows.
Review info: Environmental flows: Saving rivers in the third millennium. By Arthington, Angela H., 2012. ISBN 978-0520953451, 424 pp.
","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht, Netherlands","doi":"10.1007/s10641-013-0134-6","usgsCitation":"Dunham, J., 2014, Book review: Environmental flows: A definitive guide: Environmental Biology of Fishes, v. 97, no. 2, p. 223-224, https://doi.org/10.1007/s10641-013-0134-6.","productDescription":"2 p.","startPage":"223","endPage":"224","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044015","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":270972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270971,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-013-0134-6"}],"volume":"97","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-03-23","publicationStatus":"PW","scienceBaseUri":"516e64dde4b00154e4368b7b","contributors":{"authors":[{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":477191,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044677,"text":"70044677 - 2014 - Remote biopsy darting and marking of polar bears","interactions":[],"lastModifiedDate":"2018-07-14T13:13:42","indexId":"70044677","displayToPublicDate":"2013-04-13T00:00:00","publicationYear":"2014","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":"Remote biopsy darting and marking of polar bears","docAbstract":"Remote biopsy darting of polar bears (Ursus maritimus) is less invasive and time intensive than physical capture and is therefore useful when capture is challenging or unsafe. We worked with two manufacturers to develop a combination biopsy and marking dart for use on polar bears. We had an 80% success rate of collecting a tissue sample with a single biopsy dart and collected tissue samples from 143 polar bears on land, in water, and on sea ice. Dye marks ensured that 96% of the bears were not resampled during the same sampling period, and we recovered 96% of the darts fired. Biopsy heads with 5 mm diameters collected an average of 0.12 g of fur, tissue, and subcutaneous adipose tissue, while biopsy heads with 7 mm diameters collected an average of 0.32 g. Tissue samples were 99.3% successful (142 of 143 samples) in providing a genetic and sex identification of individuals. We had a 64% success rate collecting adipose tissue and we successfully examined fatty acid signatures in all adipose samples. Adipose lipid content values were lower compared to values from immobilized or harvested polar bears, indicating that our method was not suitable for quantifying adipose lipid content.","language":"English","publisher":"Wiley","doi":"10.1111/mms.12029","usgsCitation":"Pagano, A.M., Peacock, E.L., and McKinney, M.A., 2014, Remote biopsy darting and marking of polar bears: Marine Mammal Science, v. 30, no. 1, p. 169-183, https://doi.org/10.1111/mms.12029.","productDescription":"15 p.","startPage":"169","endPage":"183","numberOfPages":"15","ipdsId":"IP-043408","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":486667,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TKJA6","text":"USGS data release","linkHelpText":"Southern Beaufort Sea Polar Bear Mark Recapture Data, 2000-2023"},{"id":273641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-04-09","publicationStatus":"PW","scienceBaseUri":"51b99869e4b07b9df6070fae","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":476220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":476222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":476221,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043974,"text":"70043974 - 2014 - A stakeholder project to model water temperature under future climate scenarios in the Satus and Toppenish watersheds of the Yakima River Basinin Washington, USA","interactions":[],"lastModifiedDate":"2016-04-26T09:59:03","indexId":"70043974","displayToPublicDate":"2013-04-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"A stakeholder project to model water temperature under future climate scenarios in the Satus and Toppenish watersheds of the Yakima River Basinin Washington, USA","docAbstract":"The goal of this study was to support an assessment of the potential effects of climate change on select natural, social, and economic resources in the Yakima River Basin. A workshop with local stakeholders highlighted the usefulness of projecting climate change impacts on anadromous steelhead (Oncorhynchus mykiss), a fish species of importance to local tribes, fisherman, and conservationists. Stream temperature is an important environmental variable for the freshwater stages of steelhead. For this study, we developed water temperature models for the Satus and Toppenish watersheds, two of the key stronghold areas for steelhead in the Yakima River Basin. We constructed the models with the Stream Network Temperature Model (SNTEMP), a mechanistic approach to simulate water temperature in a stream network. The models were calibrated over the April 15, 2008 to September 30, 2008 period and validated over the April 15, 2009 to September 30, 2009 period using historic measurements of stream temperature and discharge provided by the Yakama Nation Fisheries Resource Management Program. Once validated, the models were run to simulate conditions during the spring and summer seasons over a baseline period (1981–2005) and two future climate scenarios with increased air temperature of 1°C and 2°C. The models simulated daily mean and maximum water temperatures at sites throughout the two watersheds under the baseline and future climate scenarios.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0643-x","usgsCitation":"Graves, D., and Maule, A., 2014, A stakeholder project to model water temperature under future climate scenarios in the Satus and Toppenish watersheds of the Yakima River Basinin Washington, USA: Climatic Change, v. 124, no. 1-2, p. 399-411, https://doi.org/10.1007/s10584-012-0643-x.","productDescription":"13 p.","startPage":"399","endPage":"411","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031161","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,45.54 ], [ -124.79,49.0 ], [ -116.92,49.0 ], [ -116.92,45.54 ], [ -124.79,45.54 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2012-12-06","publicationStatus":"PW","scienceBaseUri":"51667bd8e4b0bba30b388ba2","contributors":{"authors":[{"text":"Graves, D.","contributorId":15393,"corporation":false,"usgs":true,"family":"Graves","given":"D.","email":"","affiliations":[],"preferred":false,"id":474570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maule, A.","contributorId":39668,"corporation":false,"usgs":true,"family":"Maule","given":"A.","email":"","affiliations":[],"preferred":false,"id":474571,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70074665,"text":"70074665 - 2014 - A geological synthesis of the Precambrian shield in Madagascar","interactions":[],"lastModifiedDate":"2014-05-16T16:15:51","indexId":"70074665","displayToPublicDate":"2013-02-13T15:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A geological synthesis of the Precambrian shield in Madagascar","docAbstract":"Available U–Pb geochronology of the Precambrian shield of Madagascar is summarized and integrated into a synthesis of the region’s geological history. The shield is described in terms of six geodynamic domains, from northeast to southwest, the Bemarivo, Antongil–Masora, Antananarivo, Ikalamavony, Androyan–Anosyan, and Vohibory domains. Each domain is defined by distinctive suites of metaigneous rocks and metasedimentary groups, and a unique history of Archean (∼2.5 Ga) and Proterozoic (∼1.0 Ga, ∼0.80 Ga, and ∼0.55 Ga) reworking. Superimposed within and across these domains are scores of Neoproterozoic granitic stocks and batholiths as well as kilometer long zones of steeply dipping, highly strained rocks that record the effects of Gondwana’s amalgamation and shortening in latest Neoproterozoic time (0.560–0.520 Ga).
\nThe present-day shield of Madagascar is best viewed as part of the Greater Dharwar Craton, of Archean age, to which three exotic terranes were added in Proterozoic time. The domains in Madagascar representing the Greater Dharwar Craton include the Antongil–Masora domain, a fragment of the Western Dharwar of India, and the Neoarchean Antananarivo domain (with its Tsaratanana Complex) which is broadly analogous to the Eastern Dharwar of India. In its reconstructed position, the Greater Dharwar Craton consists of a central nucleus of Paleo-Mesoarchean age (>3.1 Ga), the combined Western Dharwar and Antongil–Masora domain, flanked by mostly juvenile “granite–greenstone belts” of Neoarchean age (2.70–2.56 Ga). The age of the accretionary event that formed this craton is approximately 2.5–2.45 Ga. The three domains in Madagascar exotic to the Greater Dharwar Craton are the Androyan–Anosyan, Vohibory, and Bemarivo. The basement to the Androyan–Anosyan domain is a continental terrane of Paleoproterozoic age (2.0–1.78 Ga) that was accreted to the southern margin (present-day direction) of the Greater Dharwar Craton in pre-Stratherian time (>1.6 Ga), and rejuvenated at 1.03–0.93 Ga with the creation of the Ikalamavony domain. The Vohibory domain, an oceanic terrane of Neoproterozoic age was accreted to the Androyan–Anosyan domain in Cryogenian time (∼0.63–0.60 Ga). The Bemarivo domain of north Madagascar is a terrane of Cryogenian igneous rocks, with a cryptic Paleoproterozoic basement, that was accreted to the Greater Dharwar Craton in latest Ediacaran to earliest Cambrian time (0.53–0.51 Ga).
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of African Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2014.02.001","usgsCitation":"Tucker, R.D., Roig, J., Moine, B., Delor, C., and Peters, S.G., 2014, A geological synthesis of the Precambrian shield in Madagascar: Journal of African Earth Sciences, v. 94, p. 9-30, https://doi.org/10.1016/j.jafrearsci.2014.02.001.","productDescription":"22 p.","startPage":"9","endPage":"30","numberOfPages":"22","ipdsId":"IP-053946","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":286315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286314,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jafrearsci.2014.02.001"}],"country":"Madagascar","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 43.19,-25.61 ], [ 43.19,-11.95 ], [ 50.48,-11.95 ], [ 50.48,-25.61 ], [ 43.19,-25.61 ] ] ] } } ] }","volume":"94","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53558fbfe4b0120853e8bdfe","contributors":{"authors":[{"text":"Tucker, Robert D. 0000-0001-8463-4358 rtucker@usgs.gov","orcid":"https://orcid.org/0000-0001-8463-4358","contributorId":2007,"corporation":false,"usgs":true,"family":"Tucker","given":"Robert","email":"rtucker@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":489732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roig, J.Y.","contributorId":6296,"corporation":false,"usgs":true,"family":"Roig","given":"J.Y.","email":"","affiliations":[],"preferred":false,"id":489733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moine, B.","contributorId":11939,"corporation":false,"usgs":true,"family":"Moine","given":"B.","email":"","affiliations":[],"preferred":false,"id":489734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delor, C.","contributorId":40042,"corporation":false,"usgs":true,"family":"Delor","given":"C.","email":"","affiliations":[],"preferred":false,"id":489735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peters, S. G.","contributorId":48198,"corporation":false,"usgs":true,"family":"Peters","given":"S.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":489736,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70044305,"text":"70044305 - 2014 - Trails through time: A geologist's guide to Jefferson County open space parks","interactions":[],"lastModifiedDate":"2016-05-17T14:45:50","indexId":"70044305","displayToPublicDate":"2013-01-31T13:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Trails through time: A geologist's guide to Jefferson County open space parks","docAbstract":"Jefferson County straddles one of the most conspicuous and important geographic and geologic boundaries in western
North America, the eastern flank of the Rocky Mountains. To the east you can travel 1,100 miles across Great Plains and
Central Lowlands before you sight the western foothills of the Appalachians. If you travel in the other direction you will
cross or skirt mountain range after mountain range until you sight the Coast Range near San Francisco, more than 900
miles to the west. Many of these mountains have different ages and origins than the Colorado mountains, but they are
all part of the great mountain belt called the North American Cordillera that extends along the western edge of the
continent from Alaska through Mexico.
What is the reason for the remarkably straight and abrupt eastern flank of the Colorado Front Range? The brief answer
is that it marks the edge of a block of ancient metamorphic and igneous rocks that has been uplifted relative to younger
flat-laying sedimentary rocks that underlie the plains to the east. During the uplift, the sedimentary rocks along the
boundary have been uplifted and tilted eastward to form the discontinuous line of hogback ridges that parallel the
mountain front. Erosion during and after the uplift has removed the sedimentary rocks that once lay above the harder
rocks of the mountain uplift, carved the scenic peaks and mountain canyons in the hard crystalline rocks of uplifted
block, and worn away the softer layers of sedimentary rocks of the plains, but left a few of the harder upturned layers
along the mountain front as hogback ridges.
Jefferson County Open Space Parks, as well as other nearby parks and National Forest lands, offer marvelous
opportunities to explore the geologic story behind this singular landscape. At first the distribution of rocks of different
ages and types seems almost random, but careful study of the rocks and landscape features reveals a captivating
geologic story, a history that tells of the building of the foundations of the continent, the rise and destruction of longvanished
mountain ranges, the ebb and flow of ancient seas, and the constant shaping and reshaping of the landscape in
response to the never-ending interplay between uplift and erosion. This historical account is constantly being improved
and expanded as new evidence accumulates and new interpretations evolve.
Spring Creek Springs and Wakulla Springs are large first magnitude springs that derive water from the Upper Floridan Aquifer. The submarine Spring Creek Springs are located in a marine estuary and Wakulla Springs are located 18 km inland. Wakulla Springs has had a consistent increase in flow from the 1930s to the present. This increase is probably due to the rising sea level, which puts additional pressure head on the submarine Spring Creek Springs, reducing its fresh water flow and increasing flows in Wakulla Springs. To improve understanding of the complex relations between these springs, flow and salinity data were collected from June 25, 2007 to June 30, 2010. The flow in Spring Creek Springs was most sensitive to rainfall and salt water intrusion, and the flow in Wakulla Springs was most sensitive to rainfall and the flow in Spring Creek Springs. Flows from the springs were found to be connected, and composed of three repeating phases in a karst spring flow cycle: Phase 1 occurred during low rainfall periods and was characterized by salt water backflow into the Spring Creek Springs caves. The higher density salt water blocked fresh water flow and resulted in a higher equivalent fresh water head in Spring Creek Springs than in Wakulla Springs. The blocked fresh water was diverted to Wakulla Springs, approximately doubling its flow. Phase 2 occurred when heavy rainfall resulted in temporarily high creek flows to nearby sinkholes that purged the salt water from the Spring Creek Springs caves. Phase 3 occurred after streams returned to base flow. The Spring Creek Springs caves retained a lower equivalent fresh water head than Wakulla Springs, causing them to flow large amounts of fresh water while Wakulla Springs flow was reduced by about half.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12125","usgsCitation":"Davis, J., and Verdi, R., 2014, Groundwater flow cycling between a submarine spring and an inland fresh water spring: Ground Water, v. 52, no. 5, p. 705-716, https://doi.org/10.1111/gwat.12125.","productDescription":"12 p.","startPage":"705","endPage":"716","numberOfPages":"12","ipdsId":"IP-032250","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":293035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293018,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12125"}],"country":"United States","state":"Florida;Georgia","otherGeospatial":"Lost Creek Sink;Spring Creek Springs;Wakulla Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.64528,30.051686 ], [ -84.64528,30.9689 ], [ -84.047469,30.9689 ], [ -84.047469,30.051686 ], [ -84.64528,30.051686 ] ] ] } } ] }","volume":"52","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"53fd9f57e4b0adaeea6c4e30","contributors":{"authors":[{"text":"Davis, J. Hal","contributorId":53832,"corporation":false,"usgs":true,"family":"Davis","given":"J. Hal","affiliations":[],"preferred":false,"id":499442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdi, Richard","contributorId":72719,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","affiliations":[],"preferred":false,"id":499443,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044049,"text":"70044049 - 2014 - History of late Holocene earthquakes at the Willow Creek site on the Nephi segment, Wasatch fault zone, Utah","interactions":[],"lastModifiedDate":"2016-07-12T14:46:46","indexId":"70044049","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5137,"text":"Paleoseismology of Utah","active":true,"publicationSubtype":{"id":2}},"title":"History of late Holocene earthquakes at the Willow Creek site on the Nephi segment, Wasatch fault zone, Utah","docAbstract":"This 43-page report presents new data from the Willow Creek site that provides well-defined and narrow bounds on the times of the three youngest earthquakes on the southern strand of the Nephi segment, Wasatch Fault zone, and refines the time of the youngest earthquake to about 200 years ago. This is the youngest surface rupture on the entire Wasatch fault zone, which occurred about a century or less before European settles arrived in Utah. Two trenches at the Willow Creek site exposed three scarp-derived colluvial wedges that are evidence of three paleoearthquakes. OxCal modeling of ages from Willow Creek indicate that paleoearthquake WC1 occurred at 0.2 ± 0.1 ka, WC2 occurred at 1.2 ± 0.1 ka, and WC3 occurred at 1.9 ± 0.6 ka. Stratigraphic constraints on the time of paleoearthquake WC4 are extremely poor, so OxCal modeling only yields a broadly constrained age of 4.7 ± 1.8 ka. Results from the Willow Creek site significantly refine the times of late Holocene earthquakes on the Southern strand of the Nephi segment, and this result, when combined with a reanalysis of the stratigraphic and chronologic information from previous investigations at North Creek and Red Canyon, yield a stronger basis of correlating individual earthquakes between all three sites.
","language":"English","publisher":"Utah Department of Natural Resources","usgsCitation":"Crone, A.J., Personius, S.F., DuRoss, C., Machette, M., and Mahan, S.A., 2014, History of late Holocene earthquakes at the Willow Creek site on the Nephi segment, Wasatch fault zone, Utah: Paleoseismology of Utah, v. 25, 43 p.","productDescription":"43 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043260","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":325112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325111,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.mapstore.utah.gov/ss151.html"}],"volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dcff6e4b0589fa1cbd9aa","contributors":{"authors":[{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":642258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Personius, Stephen F. personius@usgs.gov","contributorId":1214,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","middleInitial":"F.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":642259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":517096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Machette, Michael N.","contributorId":28963,"corporation":false,"usgs":true,"family":"Machette","given":"Michael N.","affiliations":[],"preferred":false,"id":517093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":517094,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046159,"text":"70046159 - 2014 - Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation","interactions":[],"lastModifiedDate":"2022-09-26T15:27:27.595707","indexId":"70046159","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation","docAbstract":"Glyphosate use in the United States increased from less than 5,000 to more than 80,000 metric tons/yr between 1987 and 2007. Glyphosate is popular due to its ease of use on soybean, cotton, and corn crops that are genetically modified to tolerate it, utility in no-till farming practices, utility in urban areas, and the perception that it has low toxicity and little mobility in the environment. This compilation is the largest and most comprehensive assessment of the environmental occurrence of glyphosate and aminomethylphosphonic acid (AMPA) in the United States conducted to date, summarizing the results of 3,732 water and sediment and 1,018 quality assurance samples collected between 2001 and 2010 from 38 states. Results indicate that glyphosate and AMPA are usually detected together, mobile, and occur widely in the environment. Glyphosate was detected without AMPA in only 2.3% of samples, whereas AMPA was detected without glyphosate in 17.9% of samples. Glyphosate and AMPA were detected frequently in soils and sediment, ditches and drains, precipitation, rivers, and streams; and less frequently in lakes, ponds, and wetlands; soil water; and groundwater. Concentrations of glyphosate were below the levels of concern for humans or wildlife; however, pesticides are often detected in mixtures. Ecosystem effects of chronic low-level exposures to pesticide mixtures are uncertain. The environmental health risk of low-level detections of glyphosate, AMPA, and associated adjuvants and mixtures remain to be determined.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12159","usgsCitation":"Battaglin, W.A., Meyer, M.T., Kuivila, K., and Dietze, J.E., 2014, Glyphosate and its degradation product AMPA occur frequently and widely in U.S. soils, surface water, groundwater, and precipitation: Journal of the American Water Resources Association, v. 50, no. 2, p. 275-290, https://doi.org/10.1111/jawr.12159.","productDescription":"16 p.","startPage":"275","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045904","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":274150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Macroinvertebrate community change associated with the severity of streamflow alteration","interactions":[],"lastModifiedDate":"2017-11-16T10:37:21","indexId":"70192404","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate community change associated with the severity of streamflow alteration","docAbstract":"Natural streamflows play a critical role in stream ecosystems, yet quantitative relations between streamflow alteration and stream health have been elusive. One reason for this difficulty is that neither streamflow alteration nor ecological responses are measured relative to their natural expectations. We assessed macroinvertebrate community condition in 25 mountain streams representing a large gradient of streamflow alteration, which we quantified as the departure of observed flows from natural expectations. Observed flows were obtained from US Geological Survey streamgaging stations and discharge records from dams and diversion structures. During low-flow conditions in September, samples of macroinvertebrate communities were collected at each site, in addition to measures of physical habitat, water chemistry and organic matter. In general, streamflows were artificially high during summer and artificially low throughout the rest of the year. Biological condition, as measured by richness of sensitive taxa (Ephemeroptera, Plecoptera and Trichoptera) and taxonomic completeness (O/E), was strongly and negatively related to the severity of depleted flows in winter. Analyses of macroinvertebrate traits suggest that taxa losses may have been caused by thermal modification associated with streamflow alteration. Our study yielded quantitative relations between the severity of streamflow alteration and the degree of biological impairment and suggests that water management that reduces streamflows during winter months is likely to have negative effects on downstream benthic communities in Utah mountain streams.
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The concentrations of these pollutants oftentimes exceed levels that are toxic to aquatic organisms. Many treatment structures are designed to capture coarse sediment but do not work well to similarly capture the fines. This study measured concentrations of select trace metals and PAHs in both the silt and sand fractions of urban sediment from four sources: stormwater bed, stormwater suspended, street dirt, and streambed. Concentrations were used to assess the toxic potential of sediment based on published sediment quality guidelines. All sources of sediment showed some level of toxic potential with stormwater bed sediment the highest followed by stormwater suspended, street dirt, and streambed. Both metal and PAH concentration distributions were highly correlated between the four sampling locations suggesting the presence of one or perhaps only a few sources of these pollutants which remain persistent as sediment is transported from street to stream. Comparison to other forms of combustion- and vehicle-related sources of PAHs revealed coal tar sealants to have the strongest correlation, in both the silt and sand fractions, at all four sampling sites. This information is important for environmental managers when selecting the most appropriate Best Management Practice (BMP) as a way to mitigate pollution conveyed in urban stormwater from source to sink.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2012.11.094","usgsCitation":"Selbig, W.R., Bannerman, R.T., and Corsi, S., 2014, From streets to streams: Assessing the toxicity potential of urban sediment by particle size: Science of the Total Environment, v. 444, p. 381-391, https://doi.org/10.1016/j.scitotenv.2012.11.094.","productDescription":"11 p.","startPage":"381","endPage":"391","ipdsId":"IP-042328","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":368574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Madison, Milwaukee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.61959838867188,\n 42.9524020856897\n ],\n [\n -89.14031982421875,\n 42.9524020856897\n ],\n [\n -89.14031982421875,\n 43.19416381095764\n ],\n [\n -89.61959838867188,\n 43.19416381095764\n ],\n [\n -89.61959838867188,\n 42.9524020856897\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.31771850585938,\n 42.86589941517495\n ],\n [\n -87.81097412109375,\n 42.86589941517495\n ],\n [\n -87.81097412109375,\n 43.26720631662829\n ],\n [\n -88.31771850585938,\n 43.26720631662829\n ],\n [\n -88.31771850585938,\n 42.86589941517495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"444","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546dbf29e4b0fc7976bf1e54","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, Roger T.","contributorId":127491,"corporation":false,"usgs":false,"family":"Bannerman","given":"Roger","email":"","middleInitial":"T.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":525500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven srcorsi@usgs.gov","contributorId":127499,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525498,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041754,"text":"70041754 - 2014 - A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","interactions":[],"lastModifiedDate":"2013-12-23T09:54:59","indexId":"70041754","displayToPublicDate":"2012-12-13T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes","docAbstract":"Infiltration along ephemeral channels plays an important role in groundwater recharge in arid regions. A model is presented for estimating spatial variability of seepage due to streambed heterogeneity along channels based on measurements of streamflow-front velocities in initially dry channels. The diffusion-wave approximation to the Saint-Venant equations, coupled with Philip's equation for infiltration, is connected to the groundwater model MODFLOW and is calibrated by adjusting the saturated hydraulic conductivity of the channel bed. The model is applied to portions of two large water delivery canals, which serve as proxies for natural ephemeral streams. Estimated seepage rates compare well with previously published values. Possible sources of error stem from uncertainty in Manning's roughness coefficients, soil hydraulic properties and channel geometry. Model performance would be most improved through more frequent longitudinal estimates of channel geometry and thalweg elevation, and with measurements of stream stage over time to constrain wave timing and shape. This model is a potentially valuable tool for estimating spatial variability in longitudinal seepage along intermittent and ephemeral channels over a wide range of bed slopes and the influence of seepage rates on groundwater levels.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken , NJ","doi":"10.1002/hyp.9545","usgsCitation":"Shanafield, M., Niswonger, R., Prudic, D.E., Pohll, G., Susfalk, R., and Panday, S., 2014, A method for estimating spatially variable seepage and hydrualic conductivity in channels with very mild slopes: Hydrological Processes, v. 28, no. 1, p. 51-61, https://doi.org/10.1002/hyp.9545.","productDescription":"11 p.","startPage":"51","endPage":"61","ipdsId":"IP-042359","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":263984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263983,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9545"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-10-17","publicationStatus":"PW","scienceBaseUri":"50cb5758e4b09e092d6f03cd","contributors":{"authors":[{"text":"Shanafield, Margaret","contributorId":106772,"corporation":false,"usgs":true,"family":"Shanafield","given":"Margaret","affiliations":[],"preferred":false,"id":470167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":470163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pohll, Greg","contributorId":65355,"corporation":false,"usgs":true,"family":"Pohll","given":"Greg","affiliations":[],"preferred":false,"id":470164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Susfalk, Richard","contributorId":72274,"corporation":false,"usgs":true,"family":"Susfalk","given":"Richard","email":"","affiliations":[],"preferred":false,"id":470165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":470166,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}