{"pageNumber":"563","pageRowStart":"14050","pageSize":"25","recordCount":69035,"records":[{"id":70103927,"text":"70103927 - 2014 - Juvenile anadromous salmonid production in upper Columbia River side channels with different levels of hydrological connection","interactions":[],"lastModifiedDate":"2016-04-26T10:20:32","indexId":"70103927","displayToPublicDate":"2014-05-07T08:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile anadromous salmonid production in upper Columbia River side channels with different levels of hydrological connection","docAbstract":"<p><span>We examined the contribution of three types of side channels based on their hydrologic connectivity (seasonally disconnected, partially connected, and connected) to production of juvenile anadromous salmonids. Juvenile steelhead<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Oncorhynchus mykiss</i><span><span class=\"Apple-converted-space\">&nbsp;</span>and Chinook Salmon<span class=\"Apple-converted-space\">&nbsp;</span></span><i>O. tshawytscha</i><span><span class=\"Apple-converted-space\">&nbsp;</span>were found in all three of these side channel types and in each year of the study. Upon connection with the main stem at high flows, the seasonally disconnected side channels experienced an emptying out of the previous year's fish while filling with young-of-year fish during the 2- to 4-month period of hydrologic connection. There were no differences between the densities of juvenile steelhead and Chinook Salmon and the rate of smolts produced among the three types of side channels. Recently reintroduced Coho Salmon<span class=\"Apple-converted-space\">&nbsp;</span></span><i>O. kisutch</i><span><span class=\"Apple-converted-space\">&nbsp;</span>had sporadic presence and abundance in partially and connected side channels, but the smolt production rate was over two times that of steelhead and Chinook Salmon in seasonally disconnected side channels. Within seasonally disconnected side channels, young-of-year salmonids in deep pools (&ge;100&nbsp;cm) had greater survival than those in shallow pools (&lt;100&nbsp;cm). Densities of juvenile steelhead in all side channel types were similar to those in tributaries and were higher than in main-stem lateral margins. Juvenile Chinook Salmon densities were higher in side channels than in both tributary and main-stem lateral margins. Our results suggest that improving quality of pool habitat within seasonally disconnected side channels can result in improved survival for juvenile anadromous salmonids during the period of disconnection. Habitat improvement in these seasonally disconnected side channels should be recognized as a worthy restoration strategy, especially when full connectivity of side channels may not be a feasible target (e.g., through lack of water availability) or when full connectivity may present too high a risk (e.g., flooding, stream capture, bank destabilization).</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2014.880740","usgsCitation":"Martens, K.D., and Connolly, P., 2014, Juvenile anadromous salmonid production in upper Columbia River side channels with different levels of hydrological connection: Transactions of the American Fisheries Society, v. 3, no. 143, p. 757-767, https://doi.org/10.1080/00028487.2014.880740.","productDescription":"11 p.","startPage":"757","endPage":"767","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051250","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":287015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.78,45.55 ], [ -124.78,49.00 ], [ -116.91,49.00 ], [ -116.91,45.55 ], [ -124.78,45.55 ] ] ] } } ] }","volume":"3","issue":"143","noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"5377178fe4b02eab8669ed95","contributors":{"authors":[{"text":"Martens, Kyle D.","contributorId":12740,"corporation":false,"usgs":true,"family":"Martens","given":"Kyle","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":493538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":493537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70059074,"text":"ds811 - 2014 - Occurrence of pesticides in groundwater and sediments and mineralogy of sediments and grain coatings underlying the Rutgers Agricultural Research and Extension Center, Upper Deerfield, New Jersey, 2007","interactions":[],"lastModifiedDate":"2026-05-28T21:21:58.674208","indexId":"ds811","displayToPublicDate":"2014-05-06T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"811","title":"Occurrence of pesticides in groundwater and sediments and mineralogy of sediments and grain coatings underlying the Rutgers Agricultural Research and Extension Center, Upper Deerfield, New Jersey, 2007","docAbstract":"Water and sediment samples were collected from June through October 2007 from seven plots at the Rutgers Agricultural Research and Extension Center in Upper Deerfield, New Jersey, and analyzed for a suite of pesticides (including fungicides) and other physical and chemical parameters (including sediment mineralogy) by the U.S. Geological Survey. Plots were selected for inclusion in this study on the basis of the crops grown and the pesticides used. Forty-one pesticides were detected in 14 water samples; these include 5 fungicides, 13 herbicides, 1 insecticide, and 22 pesticide degradates. The following pesticides and pesticide degradates were detected in 50 percent or more of the groundwater samples: 1-amide-4-hydroxy-chorothalonil, alachlor sulfonic acid, metolachlor oxanilic acid, metolachlor sulfonic acid, metalaxyl, and simazine. Dissolved-pesticide concentrations ranged from below their instrumental limit of detection to 36 micrograms per liter (for metolachlor sulfonic acid, a degradate of the herbicide metolachlor). The total number of pesticides found in groundwater samples ranged from 0 to 29. Fourteen pesticides were detected in sediment samples from continuous cores collected within each of the seven sampled plots; these include 4 fungicides, 2 herbicides, and 7 pesticide degradates. Pesticide concentrations in sediment samples ranged from below their instrumental limit of detection to 34.2 nanograms per gram (for azoxystrobin). The total number of pesticides found in sediment samples ranged from 0 to 8. Quantitative whole-rock and grain-coating mineralogy of sediment samples were determined by x-ray diffraction. Whole-rock analysis indicated that sediments were predominantly composed of quartz. The materials coating the quartz grains were removed to allow quantification of the trace mineral phases present.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds811","usgsCitation":"Reilly, T.J., Smalling, K., Meyer, M.T., Sandstrom, M.W., Hladik, M., Boehlke, A., Fishman, N.S., Battaglin, W.A., and Kuivila, K., 2014, Occurrence of pesticides in groundwater and sediments and mineralogy of sediments and grain coatings underlying the Rutgers Agricultural Research and Extension Center, Upper Deerfield, New Jersey, 2007: U.S. Geological Survey Data Series 811, x, 53 p., https://doi.org/10.3133/ds811.","productDescription":"x, 53 p.","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-043852","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":504835,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100017.htm","linkFileType":{"id":5,"text":"html"}},{"id":286939,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds811.jpg"},{"id":286933,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0811/"},{"id":286934,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0811/pdf/ds811.pdf"}],"country":"United States","state":"New Jersey","city":"Upper Deerfield","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.240104,39.499658 ], [ -75.240104,39.53987 ], [ -75.17473,39.53987 ], [ -75.17473,39.499658 ], [ -75.240104,39.499658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5369f652e4b063fb73c0a9f1","contributors":{"authors":[{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":487467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":487463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":487461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boehlke, Adam R. 0000-0003-4980-431X","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":23835,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam R.","affiliations":[],"preferred":false,"id":487468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fishman, Neil S.","contributorId":106464,"corporation":false,"usgs":true,"family":"Fishman","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":487469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487465,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487464,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70102111,"text":"70102111 - 2014 - Modeling nitrate at domestic and public-supply well depths in the Central Valley, California","interactions":[],"lastModifiedDate":"2018-09-26T09:54:48","indexId":"70102111","displayToPublicDate":"2014-05-06T11:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modeling nitrate at domestic and public-supply well depths in the Central Valley, California","docAbstract":"Aquifer vulnerability models were developed to map groundwater nitrate concentration at domestic and public-supply well depths in the Central Valley, California. We compared three modeling methods for ability to predict nitrate concentration >4 mg/L: logistic regression (LR), random forest classification (RFC), and random forest regression (RFR). All three models indicated processes of nitrogen fertilizer input at the land surface, transmission through coarse-textured, well-drained soils, and transport in the aquifer to the well screen. The total percent correct predictions were similar among the three models (69–82%), but RFR had greater sensitivity (84% for shallow wells and 51% for deep wells). The results suggest that RFR can better identify areas with high nitrate concentration but that LR and RFC may better describe bulk conditions in the aquifer. A unique aspect of the modeling approach was inclusion of outputs from previous, physically based hydrologic and textural models as predictor variables, which were important to the models. Vertical water fluxes in the aquifer and percent coarse material above the well screen were ranked moderately high-to-high in the RFR models, and the average vertical water flux during the irrigation season was highly significant (p < 0.0001) in logistic regression.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es405452q","usgsCitation":"Nolan, B.T., Gronberg, J.M., Faunt, C., Eberts, S., and Belitz, K., 2014, Modeling nitrate at domestic and public-supply well depths in the Central Valley, California: Environmental Science & Technology, v. 48, no. 10, p. 5643-5651, https://doi.org/10.1021/es405452q.","productDescription":"9 p.","startPage":"5643","endPage":"5651","ipdsId":"IP-053144","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":286937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286929,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es405452q"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"48","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-04-29","publicationStatus":"PW","scienceBaseUri":"5369f651e4b063fb73c0a9e2","contributors":{"authors":[{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":492828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":492827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belitz, Ken 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":108032,"corporation":false,"usgs":true,"family":"Belitz","given":"Ken","affiliations":[],"preferred":false,"id":492831,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70103631,"text":"70103631 - 2014 - Metabolism of a nitrogen-enriched coastal marine lagoon during the summertime","interactions":[],"lastModifiedDate":"2014-05-07T11:16:50","indexId":"70103631","displayToPublicDate":"2014-05-06T11:03:23","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Metabolism of a nitrogen-enriched coastal marine lagoon during the summertime","docAbstract":"We measured metabolism rates in a shallow, nitrogen-enriched coastal marine ecosystem on Cape Cod (MA, USA) during seven summers using an open-water diel oxygen method. We compared two basins, one directly receiving most of the nitrogen (N) load (“Snug Harbor”) and another further removed from the N load and better flushed (“Outer Harbor”). Both dissolved oxygen and pH varied greatly over the day, increasing in daylight and decreasing at night. The more N-enriched basin frequently went hypoxic during the night, and the pH in both basins was low (compared to standard seawater) when the oxygen levels were low, due to elevated carbon dioxide. Day-to-day variation in gross primary production (GPP) was high and linked in part to variation in light. Whole-ecosystem respiration tended to track this short-term variation in GPP, suggesting that respiration by the primary producers often dominated whole-system respiration. GPP was higher in the more N-loaded Snug Harbor. Seagrasses covered over 60 % of the area of the better-flushed, Outer Harbor throughout our study and were the major contributors to GPP there. Seagrasses covered 20 % of the area in Snug Harbor for the first 5 years of our study, and their contribution to GPP was relatively small. The seagrasses in Snug Harbor died off completely in the 6th year, but GPP remained high then and in the subsequent year. Overall, rates of phytoplankton GPP were relatively low, suggesting that benthic micro- and macro-algae may be the dominant primary producers in Snug Harbor in most years. Net ecosystem production in both Snug Harbor and the Outer Harbor was variable from year to year, showing net heterotrophy in some years and net autotrophy in others, with a trend towards increasing autotrophy over the 7 years reported here.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10533-013-9901-x","usgsCitation":"Howarth, R.W., Hayn, M., Marino, R.M., Ganju, N., Foreman, K.H., McGlathery, K., Giblin, A.E., Berg, P., and Walker, J.D., 2014, Metabolism of a nitrogen-enriched coastal marine lagoon during the summertime: Biogeochemistry, v. 118, no. 1-3, p. 1-20, https://doi.org/10.1007/s10533-013-9901-x.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-049130","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286948,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10533-013-9901-x"}],"country":"United States","state":"Massachusetts","otherGeospatial":"West Falmouth Harbor","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.665,41.597 ], [ -70.665,41.614 ], [ -70.663,41.614 ], [ -70.663,41.597 ], [ -70.665,41.597 ] ] ] } } ] }","volume":"118","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2013-09-01","publicationStatus":"PW","scienceBaseUri":"536b55f6e4b0a51a87c4b179","contributors":{"authors":[{"text":"Howarth, Robert W.","contributorId":32066,"corporation":false,"usgs":false,"family":"Howarth","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":13003,"text":"Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York","active":true,"usgs":false}],"preferred":false,"id":493412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayn, Melanie","contributorId":57754,"corporation":false,"usgs":false,"family":"Hayn","given":"Melanie","email":"","affiliations":[{"id":13003,"text":"Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York","active":true,"usgs":false}],"preferred":false,"id":493417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marino, Roxanne M.","contributorId":62523,"corporation":false,"usgs":true,"family":"Marino","given":"Roxanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":40902,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","affiliations":[],"preferred":false,"id":493415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, Kenneth H.","contributorId":45631,"corporation":false,"usgs":true,"family":"Foreman","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":493416,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGlathery, Karen","contributorId":36057,"corporation":false,"usgs":true,"family":"McGlathery","given":"Karen","affiliations":[],"preferred":false,"id":493414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Giblin, Anne E.","contributorId":103966,"corporation":false,"usgs":true,"family":"Giblin","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":493419,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berg, Peter","contributorId":32828,"corporation":false,"usgs":true,"family":"Berg","given":"Peter","email":"","affiliations":[],"preferred":false,"id":493413,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walker, Jeffrey D.","contributorId":15526,"corporation":false,"usgs":true,"family":"Walker","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":493411,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70103632,"text":"70103632 - 2014 - Water level response in back-barrier bays unchanged following Hurricane Sandy","interactions":[],"lastModifiedDate":"2014-06-06T10:50:29","indexId":"70103632","displayToPublicDate":"2014-05-06T10:49:00","publicationYear":"2014","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":"Water level response in back-barrier bays unchanged following Hurricane Sandy","docAbstract":"On 28–30 October 2012, Hurricane Sandy caused severe flooding along portions of the northeast coast of the United States and cut new inlets across barrier islands in New Jersey and New York. About 30% of the 20 highest daily maximum water levels observed between 2007 and 2013 in Barnegat and Great South Bay occurred in 5 months following Hurricane Sandy. Hurricane Sandy provided a rare opportunity to determine whether extreme events alter systems protected by barrier islands, leaving the mainland more vulnerable to flooding. Comparisons between water levels before and after Hurricane Sandy at bay stations and an offshore station show no significant differences in the transfer of sea level fluctuations from offshore to either bay following Sandy. The post-Hurricane Sandy bay high water levels reflected offshore sea levels caused by winter storms, not by barrier island breaching or geomorphic changes within the bays.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1002/2014GL059957","usgsCitation":"Aretxabaleta, A., Butman, B., and Ganju, N., 2014, Water level response in back-barrier bays unchanged following Hurricane Sandy: Geophysical Research Letters, v. 41, no. 9, p. 3163-3171, https://doi.org/10.1002/2014GL059957.","productDescription":"9 p.","startPage":"3163","endPage":"3171","numberOfPages":"9","ipdsId":"IP-055885","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059957","text":"Publisher Index Page"},{"id":286947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286946,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014GL059957"}],"country":"United States","state":"New Jersey;New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.0,38.0 ], [ -76.0,42.0 ], [ -70.0,42.0 ], [ -70.0,38.0 ], [ -76.0,38.0 ] ] ] } } ] }","volume":"41","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-05-02","publicationStatus":"PW","scienceBaseUri":"536b55fae4b0a51a87c4b192","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo L.","contributorId":41311,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo L.","affiliations":[],"preferred":false,"id":493421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":493422,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70060527,"text":"70060527 - 2014 - Mechanisms of drift-feeding behavior in juvenile Chinook salmon and the role of inedible debris in a clear water Alaskan stream","interactions":[],"lastModifiedDate":"2014-05-06T11:43:59","indexId":"70060527","displayToPublicDate":"2014-05-06T10:23:00","publicationYear":"2014","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":"Mechanisms of drift-feeding behavior in juvenile Chinook salmon and the role of inedible debris in a clear water Alaskan stream","docAbstract":"Drift-feeding fish are challenged to discriminate between prey and similar-sized particles of debris, which are ubiquitous even in clear-water streams. Spending time and energy pursuing debris mistaken as prey could affect fish growth and the fitness potential of different foraging strategies. Our goal was to determine the extent to which debris influences drift-feeding fish in clear water under low-flow conditions when the distracting effect of debris should be at a minimum. We used high-definition video to measure the reactions of drift-feeding juvenile Chinook salmon (Oncorhynchus tshawytscha) to natural debris and prey in situ in the Chena River, Alaska. Among all potential food items fish pursued, 52 % were captured and quickly expelled from the mouth, 39 % were visually inspected but not captured, and only 9 % were ingested. Foraging attempt rate was only moderately correlated with ingestion rate (Kendall’s τ = 0.55), raising concerns about the common use of foraging attempts as a presumed index of foraging success. The total time fish spent handling debris increased linearly with foraging attempt rate and ranged between 4 and 25 % of total foraging time among observed groups. Our results help motivate a revised theoretical view of drift feeding that emphasizes prey detection and discrimination, incorporating ideas from signal detection theory and the study of visual attention in cognitive ecology. We discuss how these ideas could lead to better explanations and predictions of the spatial behavior, prey selection, and energy intake of drift-feeding fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Biology of Fishes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10641-014-0227-x","usgsCitation":"Neuswanger, J.R., Wipfli, M.S., Rosenberger, A.E., and Hughes, N.F., 2014, Mechanisms of drift-feeding behavior in juvenile Chinook salmon and the role of inedible debris in a clear water Alaskan stream: Environmental Biology of Fishes, v. 97, no. 5, p. 489-503, https://doi.org/10.1007/s10641-014-0227-x.","productDescription":"15 p.","startPage":"489","endPage":"503","numberOfPages":"15","ipdsId":"IP-045976","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":286926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10641-014-0227-x"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147.915305,64.784024 ], [ -147.915305,64.857769 ], [ -146.995475,64.857769 ], [ -146.995475,64.784024 ], [ -147.915305,64.784024 ] ] ] } } ] }","volume":"97","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-01-29","publicationStatus":"PW","scienceBaseUri":"5369f650e4b063fb73c0a9d8","contributors":{"authors":[{"text":"Neuswanger, Jason R.","contributorId":15530,"corporation":false,"usgs":true,"family":"Neuswanger","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":487894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Nicholas F.","contributorId":40497,"corporation":false,"usgs":true,"family":"Hughes","given":"Nicholas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":487897,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173908,"text":"70173908 - 2014 - Estimating habitat carrying capacity for migrating and wintering waterfowl: Considerations, pitfalls and improvements","interactions":[],"lastModifiedDate":"2016-06-22T13:35:54","indexId":"70173908","displayToPublicDate":"2014-05-06T05:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Estimating habitat carrying capacity for migrating and wintering waterfowl: Considerations, pitfalls and improvements","docAbstract":"<p>Population-based habitat conservation planning for migrating and wintering waterfowl&nbsp;in North America is carried out by habitat Joint Venture (JV) initiatives and is based on&nbsp;the premise that food can limit demography (i.e. food limitation hypothesis).&nbsp;Consequently, planners use bioenergetic models to estimate food (energy) availability&nbsp;and population-level energy demands at appropriate spatial and temporal scales, and&nbsp;translate these values into regional habitat objectives. While simple in principle, there&nbsp;are both empirical and theoretical challenges associated with calculating energy supply&nbsp;and demand including: 1) estimating food availability, 2) estimating the energy content&nbsp;of specific foods, 3) extrapolating site-specific estimates of food availability to&nbsp;landscapes for focal species, 4) applicability of estimates from a single species to other&nbsp;species, 5) estimating resting metabolic rate, 6) estimating cost of daily behaviours, and&nbsp;7) estimating costs of thermoregulation or tissue synthesis. Most models being used are&nbsp;daily ration models (DRMs) whose set of simplifying assumptions are well established&nbsp;and whose use is widely accepted and feasible given the empirical data available to&nbsp;populate such models. However, DRMs do not link habitat objectives to metrics of&nbsp;ultimate ecological importance such as individual body condition or survival, and&nbsp;largely only consider food-producing habitats. Agent-based models (ABMs) provide a&nbsp;possible alternative for creating more biologically realistic models under some&nbsp;conditions; however, ABMs require different types of empirical inputs, many of which&nbsp;have yet to be estimated for key North American waterfowl. Decisions about how JVs&nbsp;can best proceed with habitat conservation would benefit from the use of sensitivity&nbsp;analyses that could identify the empirical and theoretical uncertainties that have the&nbsp;greatest influence on efforts to estimate habitat carrying capacity. Development of&nbsp;ABMs at restricted, yet biologically relevant spatial scales, followed by comparisons of&nbsp;their outputs to those generated from more simplistic, deterministic models can&nbsp;provide a means of assessing degrees of dissimilarity in how alternative models&nbsp;describe desired landscape conditions for migrating and wintering waterfowl.</p>","language":"English","publisher":"InterMedia Outdoors","usgsCitation":"Williams, C., Dugger, B., Brasher, M., Coluccy, J.M., Cramer, D.M., Eadie, J.M., Gray, M., Hagy, H.M., Livolsi, M., McWilliams, S.R., Petrie, M., Soulliere, G.J., Tirpak, J.M., and Webb, E.B., 2014, Estimating habitat carrying capacity for migrating and wintering waterfowl: Considerations, pitfalls and improvements: Wildfowl, no. 4, p. 407-435.","productDescription":"29 p.","startPage":"407","endPage":"435","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055427","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":324226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324227,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2614"}],"issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6b3e4b07657d1a2289f","contributors":{"authors":[{"text":"Williams, Christopher","contributorId":36592,"corporation":false,"usgs":true,"family":"Williams","given":"Christopher","affiliations":[],"preferred":false,"id":640344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Bruce D.","contributorId":81236,"corporation":false,"usgs":true,"family":"Dugger","given":"Bruce D.","affiliations":[],"preferred":false,"id":640345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Michael G.","contributorId":17139,"corporation":false,"usgs":true,"family":"Brasher","given":"Michael G.","affiliations":[],"preferred":false,"id":640346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coluccy, John M.","contributorId":111382,"corporation":false,"usgs":true,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cramer, Dane M.","contributorId":172325,"corporation":false,"usgs":false,"family":"Cramer","given":"Dane","email":"","middleInitial":"M.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":640348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":640349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, Matthew J.","contributorId":101343,"corporation":false,"usgs":true,"family":"Gray","given":"Matthew J.","affiliations":[],"preferred":false,"id":640350,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hagy, Heath M.","contributorId":172326,"corporation":false,"usgs":false,"family":"Hagy","given":"Heath","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640351,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Livolsi, Mark","contributorId":172327,"corporation":false,"usgs":false,"family":"Livolsi","given":"Mark","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":640352,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McWilliams, Scott R.","contributorId":172328,"corporation":false,"usgs":false,"family":"McWilliams","given":"Scott","email":"","middleInitial":"R.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":640353,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petrie, Matthew mpetrie@usgs.gov","contributorId":167013,"corporation":false,"usgs":true,"family":"Petrie","given":"Matthew","email":"mpetrie@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":640354,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Soulliere, Gregory J.","contributorId":172329,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":640355,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tirpak, John M.","contributorId":85704,"corporation":false,"usgs":true,"family":"Tirpak","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640356,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638956,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70156135,"text":"70156135 - 2014 - Using nuclear magnetic resonance and transient electromagnetics to characterise water distribution beneath an ice covered volcanic crater: The case of Sherman Crater Mt. Baker Washington.","interactions":[],"lastModifiedDate":"2019-03-11T14:03:42","indexId":"70156135","displayToPublicDate":"2014-05-06T01:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2850,"text":"Near Surface Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Using nuclear magnetic resonance and transient electromagnetics to characterise water distribution beneath an ice covered volcanic crater: The case of Sherman Crater Mt. Baker Washington.","docAbstract":"<p>Surface and laboratory Nuclear Magnetic Resonance (NMR) measurements combined with transient electromagnetic (TEM) data are powerful tools for subsurface water detection. Surface NMR (sNMR) and TEM soundings, laboratory NMR, complex resistivity, and X-Ray Diffraction (XRD) analysis were all conducted to characterise the distribution of water within Sherman Crater on Mt. Baker, WA. Clay rich rocks, particularly if water saturated, can weaken volcanoes, thereby increasing the potential for catastrophic sector collapses that can lead to far-travelled, destructive debris flows. Detecting the presence and volume of shallow groundwater is critical for evaluating these landslide hazards. The TEM data identified a low resistivity layer (&lt;10 ohm-m), under 60 m of glacial ice related to water saturated clays. The TEM struggles to resolve the presence or absence of a plausible thin layer of bulk liquid water on top of the clay. The sNMR measurements did not produce any observable signal, indicating the lack of substantial accumulated bulk water below the ice. Laboratory analysis on a sample from the crater wall that likely represented the clays beneath the ice confirmed that the controlling factor for the lack of sNMR signal was the fine-grained nature of the media. The laboratory measurements further indicated that small pores in clays detected by the XRD contain as much as 50% water, establishing an upper bound on the water content in the clay layer. Forward modelling of geologic scenarios revealed that bulk water layers as thin as &frac12; m between the ice and clay layer would have been detectable using sNMR. The instrumentation conditions which would allow for sNMR detection of the clay layer are investigated. Using current instrumentation the combined analysis of the TEM and sNMR data allow for valuable characterisation of the groundwater system in the crater. The sNMR is able to reduce the uncertainty of the TEM in regards to the presence of a bulk water layer, a valuable piece of information in hazard assessment.</p>","language":"English","publisher":"European Association of Geoscientists & Engineers","doi":"10.3997/1873-0604.2014009","usgsCitation":"Irons, T.P., Martin, K., Finn, C.A., Bloss, B.R., and Horton, R., 2014, Using nuclear magnetic resonance and transient electromagnetics to characterise water distribution beneath an ice covered volcanic crater: The case of Sherman Crater Mt. Baker Washington.: Near Surface Geophysics, v. 12, no. 2, p. 285-296, https://doi.org/10.3997/1873-0604.2014009.","productDescription":"12 p.","startPage":"285","endPage":"296","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053051","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":306810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Baker, Sherman Crater","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.05947875976562,\n              48.62110864256238\n            ],\n            [\n              -122.05947875976562,\n              48.89722676235673\n            ],\n            [\n              -121.55548095703125,\n              48.89722676235673\n            ],\n            [\n              -121.55548095703125,\n              48.62110864256238\n            ],\n            [\n              -122.05947875976562,\n              48.62110864256238\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305bce4b0518e35468d35","contributors":{"authors":[{"text":"Irons, Trevor P. tirons@usgs.gov","contributorId":4851,"corporation":false,"usgs":true,"family":"Irons","given":"Trevor","email":"tirons@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":567909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Kathryn","contributorId":146449,"corporation":false,"usgs":false,"family":"Martin","given":"Kathryn","email":"","affiliations":[{"id":16695,"text":"Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":567910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":567908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloss, Benjamin R. 0000-0002-1678-8571 bbloss@usgs.gov","orcid":"https://orcid.org/0000-0002-1678-8571","contributorId":139981,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin","email":"bbloss@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":567911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Robert 0000-0001-5578-3733 rhorton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-3733","contributorId":612,"corporation":false,"usgs":true,"family":"Horton","given":"Robert","email":"rhorton@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":567912,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70103370,"text":"ofr20141087 - 2014 - Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California","interactions":[],"lastModifiedDate":"2014-05-05T15:36:05","indexId":"ofr20141087","displayToPublicDate":"2014-05-05T15:11:14","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1087","title":"Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California","docAbstract":"The Central Groundwater Basin (Central Basin) of southern Los Angeles County includes ~280 mi<sup>2</sup> of the Los Angeles Coastal Plain and serves as the primary source of water for more than two million residents. In the Santa Fe Springs–Whittier–Norwalk area, located in the northeastern part of the basin, several sources of volatile organic compounds have been identified. The volatile organic compunds are thought to have contributed to a large, commingled contaminant plume in groundwater that extends south-southwest downgradient from the Omega Chemical Corporation Superfund Site across folded geologic strata, known as the Santa Fe Springs Anticline. A multifaceted study—that incorporated a three-dimensional sequence-stratigraphic geologic model, two-dimensional groundwater particle-tracking simulations, and new groundwater chemistry data—was conducted to gain insight into the geologic and hydrologic controls on contaminant migration in the study area and to assess the potential for this shallow groundwater contamination to migrate into producing aquifer zones. Conceptual flow models were developed along a flow-parallel cross section based on the modeled stratigraphic architecture, observed geochemistry, and numerical model simulations that generally agree with observed water levels and contaminant distributions. These models predict that contaminants introduced into groundwater at shallow depths near the Omega Chemical Corporation Superfund Site and along the study cross section will likely migrate downgradient to depths intercepted by public supply wells. These conclusions, however, are subject to limitations and simplifications inherent in the modeling approaches used, as well as a significant scarcity of available geologic and hydrogeochemical information at depth and in the downgradient parts of the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141087","collaboration":"Prepared in cooperation with the Water Replenishment District of Southern California","usgsCitation":"Ponti, D.J., Wagner, B.J., Land, M., and Landon, M.K., 2014, Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California: U.S. Geological Survey Open-File Report 2014-1087, Report: vii, 75 p.; Appendix A: 49 p.; 1 Plate: 28.00 x 19.50 inches; Tables 1,4,7; High resolution figures, https://doi.org/10.3133/ofr20141087.","productDescription":"Report: vii, 75 p.; Appendix A: 49 p.; 1 Plate: 28.00 x 19.50 inches; Tables 1,4,7; High resolution figures","numberOfPages":"84","onlineOnly":"Y","ipdsId":"IP-037058","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141087.jpg"},{"id":286906,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087.pdf"},{"id":286907,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087_appendixA.pdf"},{"id":286905,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1087/"},{"id":286909,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table4.xlsx"},{"id":286908,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table1.xlsx"},{"id":286910,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table7.xlsx"},{"id":286911,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/figures/"},{"id":286912,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087_plate1.pdf"}],"country":"United States","state":"California","county":"Los Angeles County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,33.583 ], [ -118.5,34.25 ], [ -117.66,34.25 ], [ -117.66,33.583 ], [ -118.5,33.583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d0e4b059f7e82882f5","contributors":{"authors":[{"text":"Ponti, Daniel J. 0000-0002-2437-5144 dponti@usgs.gov","orcid":"https://orcid.org/0000-0002-2437-5144","contributorId":1020,"corporation":false,"usgs":true,"family":"Ponti","given":"Daniel","email":"dponti@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":493274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Brian J. bjwagner@usgs.gov","contributorId":427,"corporation":false,"usgs":true,"family":"Wagner","given":"Brian","email":"bjwagner@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":493273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Land, Michael 0000-0001-5141-0307","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":56613,"corporation":false,"usgs":true,"family":"Land","given":"Michael","affiliations":[],"preferred":false,"id":493275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70100414,"text":"70100414 - 2014 - Mineral commodity summaries 2014","interactions":[],"lastModifiedDate":"2014-05-05T14:08:57","indexId":"70100414","displayToPublicDate":"2014-05-05T12:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":368,"text":"Mineral Commodity Summaries","active":false,"publicationSubtype":{"id":6}},"title":"Mineral commodity summaries 2014","docAbstract":"<p>Each chapter of the 2014 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS)  includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular  presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world  production and resources. The MCS is the earliest comprehensive source of 2013 mineral production data for the  world. More than 90 individual minerals and materials are covered by two-page synopses.</p>\n\n<br> \n \n<p>For mineral commodities for which there is a Government stockpile, detailed information concerning the stockpile status is included in the two-page synopsis.</p>\n\n<br> \n \n<p>Abbreviations and units of measure, and definitions of selected terms used in the report, are in Appendix A and Appendix B, respectively. “Appendix C—Reserves and Resources” includes “Part A—Resource/Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is Appendix D. </p>\n\n<br> \n \n<p>The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2014 are welcomed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70100414","collaboration":"This summary is available online, in print and CD-ROM format. Please see the verso of the title page in this summary for ordering information.","usgsCitation":"Mineral commodity summaries 2014; 2014; USGS Unnumbered Series; MINERAL; U.S. Geological Survey","productDescription":"Report: 196 p.; Appendixes A-D","numberOfPages":"199","onlineOnly":"Y","ipdsId":"IP-055293","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":286884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70100414.GIF"},{"id":286875,"type":{"id":15,"text":"Index Page"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/"},{"id":286876,"type":{"id":11,"text":"Document"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2014/mcs2014.pdf"},{"id":286877,"type":{"id":3,"text":"Appendix"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2014/mcsapp2014.pdf"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 180.0,-90.0 ], [ 180.0,90.0 ], [ -180.0,90.0 ], [ -180.0,-90.0 ], [ 180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d2e4b059f7e8288309","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535647,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70103395,"text":"70103395 - 2014 - Habitat used by juvenile lake sturgeon (<i>Acipenser fulvescens</i>) in the North Channel of the St. Clair River (Michigan, USA)","interactions":[],"lastModifiedDate":"2014-06-19T09:29:15","indexId":"70103395","displayToPublicDate":"2014-05-05T11:21:00","publicationYear":"2014","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":"Habitat used by juvenile lake sturgeon (<i>Acipenser fulvescens</i>) in the North Channel of the St. Clair River (Michigan, USA)","docAbstract":"Lake sturgeon (<i>Acipenser fulvescens</i>) occupy the St. Clair River, part of a channel connecting lakes Huron and Erie in the Laurentian Great Lakes. In the North Channel of the St. Clair River, juvenile lake sturgeon (3–7 years old and 582–793 mm in length) were studied to determine movement patterns and habitat usage. Fourteen juveniles were implanted with ultrasonic transmitters and tracked June–August of 2004, 2005 and 2006. Telemetry data, Geographic Information System software, side-scan sonar, video images of the river bottom, scuba diving, and benthic substrate samples were used to determine the extent and composition of habitats they occupied. Juvenile lake sturgeon habitat selection was strongly related to water depth. No fish were found in <6 m of water and over 97% of the relocations were found at depths greater than 9 m. Available water depths exceeding 18 m only represented 3.5% of the available habitat, however 34.9% of the relocations were found at depths exceeding 18 m. Juvenile lake sturgeon did not use most areas in proportion to their availability. Sturgeon avoided clay ledges and shallow areas with silt or soft clay, which comprised approximately 39% of the benthic habitat in the North Channel. A total of 300 out of 351 documented locations were on sand and gravel habitat types mixed with clay. Lake sturgeon > 700 mm in length selected sand and gravel areas mixed with zebra mussels and areas dominated by zebra mussels, while fish < 700 mm used these habitat types in proportion to their availability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.11.002","usgsCitation":"Boase, J., Manny, B.A., Donald, K.A., Kennedy, G.W., Diana, J., Thomas, M.V., and Chiotti, J., 2014, Habitat used by juvenile lake sturgeon (<i>Acipenser fulvescens</i>) in the North Channel of the St. Clair River (Michigan, USA): Journal of Great Lakes Research, v. 40, p. 81-88, https://doi.org/10.1016/j.jglr.2013.11.002.","productDescription":"8 p.","startPage":"81","endPage":"88","numberOfPages":"8","ipdsId":"IP-055169","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":286873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286872,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.11.002"}],"country":"United States","state":"Michigan","otherGeospatial":"St. Clair River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4285,41.9625 ], [ -83.4285,43.0146 ], [ -82.2876,43.0146 ], [ -82.2876,41.9625 ], [ -83.4285,41.9625 ] ] ] } } ] }","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d1e4b059f7e82882fa","contributors":{"authors":[{"text":"Boase, James C.","contributorId":72713,"corporation":false,"usgs":true,"family":"Boase","given":"James C.","affiliations":[],"preferred":false,"id":493311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donald, Katherine A.L.","contributorId":56978,"corporation":false,"usgs":true,"family":"Donald","given":"Katherine","email":"","middleInitial":"A.L.","affiliations":[],"preferred":false,"id":493310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Gregory W. 0000-0003-1686-6960 gkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":3700,"corporation":false,"usgs":true,"family":"Kennedy","given":"Gregory","email":"gkennedy@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diana, James S.","contributorId":52137,"corporation":false,"usgs":true,"family":"Diana","given":"James S.","affiliations":[],"preferred":false,"id":493309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Michael V.","contributorId":47629,"corporation":false,"usgs":true,"family":"Thomas","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":493308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chiotti, Justin A.","contributorId":26629,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin A.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":493307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70103477,"text":"70103477 - 2014 - A probabilistic method for constructing wave time-series at inshore locations using model scenarios","interactions":[],"lastModifiedDate":"2014-05-05T11:10:07","indexId":"70103477","displayToPublicDate":"2014-05-05T11:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A probabilistic method for constructing wave time-series at inshore locations using model scenarios","docAbstract":"Continuous time-series of wave characteristics (height, period, and direction) are constructed using a base set of model scenarios and simple probabilistic methods. This approach utilizes an archive of computationally intensive, highly spatially resolved numerical wave model output to develop time-series of historical or future wave conditions without performing additional, continuous numerical simulations. The archive of model output contains wave simulations from a set of model scenarios derived from an offshore wave climatology. Time-series of wave height, period, direction, and associated uncertainties are constructed at locations included in the numerical model domain. The confidence limits are derived using statistical variability of oceanographic parameters contained in the wave model scenarios. The method was applied to a region in the northern Gulf of Mexico and assessed using wave observations at 12 m and 30 m water depths. Prediction skill for significant wave height is 0.58 and 0.67 at the 12 m and 30 m locations, respectively, with similar performance for wave period and direction. The skill of this simplified, probabilistic time-series construction method is comparable to existing large-scale, high-fidelity operational wave models but provides higher spatial resolution output at low computational expense. The constructed time-series can be developed to support a variety of applications including climate studies and other situations where a comprehensive survey of wave impacts on the coastal area is of interest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coastal Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2014.03.008","usgsCitation":"Long, J.W., Plant, N.G., Dalyander, P., and Thompson, D.M., 2014, A probabilistic method for constructing wave time-series at inshore locations using model scenarios: Coastal Engineering, v. 89, p. 53-62, https://doi.org/10.1016/j.coastaleng.2014.03.008.","productDescription":"10 p.","startPage":"53","endPage":"62","numberOfPages":"10","ipdsId":"IP-050932","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286859,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coastaleng.2014.03.008"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.0,29.0 ], [ -89.0,31.0 ], [ -85.0,31.0 ], [ -85.0,29.0 ], [ -89.0,29.0 ] ] ] } } ] }","volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4cfe4b059f7e82882f0","contributors":{"authors":[{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":493350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493348,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70078397,"text":"ofr20141019 - 2014 - Seismic profile analysis of sediment deposits in Brownlee and Hells Canyon Reservoirs near Cambridge, Idaho","interactions":[],"lastModifiedDate":"2014-05-05T10:30:23","indexId":"ofr20141019","displayToPublicDate":"2014-05-05T09:51:29","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1019","title":"Seismic profile analysis of sediment deposits in Brownlee and Hells Canyon Reservoirs near Cambridge, Idaho","docAbstract":"The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center, in cooperation with the USGS Idaho Water Science Center and the Idaho Power Company, collected high-resolution seismic reflection data in the Brownlee and Hells Canyon Reservoirs, in March of 2013.These reservoirs are located along the Snake River, and were constructed in 1958 (Brownlee) and 1967 (Hells Canyon). The purpose of the survey was to gain a better understanding of sediment accumulation within the reservoirs since their construction. The chirp system used in the survey was an EdgeTech Geo-Star Full Spectrum Sub-Bottom (FSSB) system coupled with an SB-424 towfish with a frequency range of 4 to 24 kHz. Approximately 325 kilometers of chirp data were collected, with water depths ranging from 0-90 meters. These reservoirs are characterized by very steep rock valley walls, very low flow rates, and minimal sediment input into the system. Sediments deposited in the reservoirs are characterized as highly fluid clays. Since the acoustic signal was not able to penetrate the rock substrate, only the thin veneer of these recent deposits were imaged. Results from the seismic survey indicate that throughout both of the Brownlee and Hells Canyon reservoirs the accumulation of sediments ranged from 0 to 2.5 m, with an average of 0.5 m. Areas of above average sediment accumulation may be related to lower slope, longer flooding history, and proximity to fluvial sources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141019","usgsCitation":"Flocks, J., Kelso, K., Fosness, R., and Welcker, C., 2014, Seismic profile analysis of sediment deposits in Brownlee and Hells Canyon Reservoirs near Cambridge, Idaho: U.S. Geological Survey Open-File Report 2014-1019, v, 14 p., https://doi.org/10.3133/ofr20141019.","productDescription":"v, 14 p.","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-052989","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286861,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1019/"},{"id":286862,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1019/pdf/ofr2014-1019.pdf"},{"id":286863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141019.jpg"}],"country":"United States","state":"Idaho;Oregon","otherGeospatial":"Brownlee Reservoirs;Hells Canyon Reservoirs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.25,44.33 ], [ -117.25,45.25 ], [ -116.66,45.25 ], [ -116.66,44.33 ], [ -117.25,44.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d3e4b059f7e8288313","contributors":{"authors":[{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":489940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle","contributorId":68017,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","affiliations":[],"preferred":false,"id":489942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fosness, Ryan","contributorId":76229,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","affiliations":[],"preferred":false,"id":489943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welcker, Chris","contributorId":63314,"corporation":false,"usgs":true,"family":"Welcker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":489941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70072615,"text":"70072615 - 2014 - Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments","interactions":[],"lastModifiedDate":"2018-09-18T16:13:34","indexId":"70072615","displayToPublicDate":"2014-05-04T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments","docAbstract":"Waters co-produced with hydrocarbons in the Appalachian Basin are of notably poor quality (concentrations of total dissolved solids (TDS) and total radium up to and exceeding 300,000 mg/L and 10,000 pCi/L, respectively). Since 2008, a rapid increase in Marcellus Shale gas production has led to a commensurate rise in associated wastewater while generation of produced water from conventional oil and gas activities has continued. In this study, we assess whether disposal practices from treatment of produced waters from both shale gas and conventional operations in Pennsylvania could result in the accumulation of associated alkali earth elements. The results from our 5 study sites indicate that there was no increase in concentrations of total Ra (Ra-226) and extractable Ba, Ca, Na, or Sr in fluvial sediments downstream of the discharge outfalls (p > 0.05) of publicly owned treatment works (POTWs) and centralized waste treatment facilities (CWTs). However, the use of road spreading of brines from conventional oil and gas wells for deicing resulted in accumulation of Ra-226 (1.2 ×), and extractable Sr (3.0 ×), Ca (5.3 ×), and Na (6.2 ×) in soil and sediment proximal to roads (p < 0.05). Although this study is an important initial assessment of the impacts of these disposal practices, more work is needed to consider the environmental consequences of produced waters management.","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.12.001","usgsCitation":"Skalak, K.J., Engle, M.A., Rowan, E.L., Jolly, G., Conko, K.M., Benthem, A.J., and Kraemer, T.F., 2014, Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments: International Journal of Coal Geology, v. 126, p. 162-170, https://doi.org/10.1016/j.coal.2013.12.001.","productDescription":"9 p.","startPage":"162","endPage":"170","ipdsId":"IP-053033","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":286916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281117,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2013.12.001"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.5199,39.7198 ], [ -80.5199,42.2694 ], [ -74.6895,42.2694 ], [ -74.6895,39.7198 ], [ -80.5199,39.7198 ] ] ] } } ] }","volume":"126","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368b2ffe4b059f7e828838a","contributors":{"authors":[{"text":"Skalak, Katherine J.","contributorId":92174,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowan, Elisabeth L. 0000-0001-5753-6189 erowan@usgs.gov","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":2075,"corporation":false,"usgs":true,"family":"Rowan","given":"Elisabeth","email":"erowan@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolly, Glenn D. gdjolly@usgs.gov","contributorId":5089,"corporation":false,"usgs":true,"family":"Jolly","given":"Glenn D.","email":"gdjolly@usgs.gov","affiliations":[],"preferred":true,"id":488537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conko, Kathryn M. 0000-0001-6361-4921 kmconko@usgs.gov","orcid":"https://orcid.org/0000-0001-6361-4921","contributorId":2930,"corporation":false,"usgs":true,"family":"Conko","given":"Kathryn","email":"kmconko@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":488535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kraemer, Thomas F. tkraemer@usgs.gov","contributorId":3443,"corporation":false,"usgs":true,"family":"Kraemer","given":"Thomas","email":"tkraemer@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488536,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70104147,"text":"70104147 - 2014 - Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts","interactions":[],"lastModifiedDate":"2018-09-14T16:08:30","indexId":"70104147","displayToPublicDate":"2014-05-03T09:07:32","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":"Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts","docAbstract":"Fungicides are moderately hydrophobic and have been detected in water and sediment, particularly in agricultural watersheds, but typically are not included in routine water quality monitoring efforts. This is despite their widespread use and frequent application to combat fungal pathogens. Although the efficacy of these compounds on fungal pathogens is well documented, little is known about their effects on nontarget fungi. This pilot study, a field survey in southwestern Idaho from April to December 2010 on four streams with varying pesticide inputs (two agricultural and two reference sites), was conducted to assess nontarget impact of fungicides on gut fungi, or trichomycetes. Tissues of larval black flies (Diptera: Simuliidae), hosts of gut fungi, were analyzed for pesticide accumulation. Fungicides were detected in hosts from streams within agricultural watersheds but were not detected in hosts from reference streams. Gut fungi from agricultural sites exhibited decreased percent infestation, density and sporulation within the gut, and black fly tissues had elevated pesticide concentrations. Differences observed between the sites demonstrate a potential effect on this symbiotic system. Future research is needed to parse out the details of the complex biotic and abiotic relationships; however, these preliminary results indicate that impacts to nontarget organisms could have far-reaching consequences within aquatic ecosystems.","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12166","usgsCitation":"Wilson, E.R., Smalling, K., Reilly, T.J., Gray, E., Bond, L., Steele, L., Kandel, P., Chamberlin, A., Gause, J., Reynolds, N., Robertson, I., Novak, S., Feris, K., and White, M.M., 2014, Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts: Journal of the American Water Resources Association, v. 50, no. 2, p. 420-433, https://doi.org/10.1111/jawr.12166.","productDescription":"14 p.","startPage":"420","endPage":"433","ipdsId":"IP-034388","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":473004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1111/jawr.12166","text":"External Repository"},{"id":287044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287043,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12166"}],"country":"United States","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5371ed67e4b08449547883f7","contributors":{"authors":[{"text":"Wilson, Emma R.","contributorId":58499,"corporation":false,"usgs":true,"family":"Wilson","given":"Emma","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":493553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":493551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Elmer","contributorId":9969,"corporation":false,"usgs":true,"family":"Gray","given":"Elmer","email":"","affiliations":[],"preferred":false,"id":493552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Laura","contributorId":89103,"corporation":false,"usgs":true,"family":"Bond","given":"Laura","affiliations":[],"preferred":false,"id":493561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steele, Lance","contributorId":99052,"corporation":false,"usgs":true,"family":"Steele","given":"Lance","email":"","affiliations":[],"preferred":false,"id":493563,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kandel, Prasanna","contributorId":80196,"corporation":false,"usgs":true,"family":"Kandel","given":"Prasanna","email":"","affiliations":[],"preferred":false,"id":493559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chamberlin, Alison","contributorId":64163,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Alison","email":"","affiliations":[],"preferred":false,"id":493556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gause, Justin","contributorId":64574,"corporation":false,"usgs":true,"family":"Gause","given":"Justin","email":"","affiliations":[],"preferred":false,"id":493557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reynolds, Nicole","contributorId":20260,"corporation":false,"usgs":true,"family":"Reynolds","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":493554,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robertson, Ian","contributorId":71103,"corporation":false,"usgs":true,"family":"Robertson","given":"Ian","affiliations":[],"preferred":false,"id":493558,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Novak, Stephen","contributorId":98639,"corporation":false,"usgs":true,"family":"Novak","given":"Stephen","affiliations":[],"preferred":false,"id":493562,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Feris, Kevin","contributorId":80197,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","affiliations":[],"preferred":false,"id":493560,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"White, Merlin M.","contributorId":104819,"corporation":false,"usgs":true,"family":"White","given":"Merlin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493564,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70103299,"text":"70103299 - 2014 - Particulate organic matter quality influences nitrate retention and denitrification in stream sediments: evidence from a carbon burial experiment","interactions":[],"lastModifiedDate":"2014-05-16T16:35:21","indexId":"70103299","displayToPublicDate":"2014-05-02T15:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Particulate organic matter quality influences nitrate retention and denitrification in stream sediments: evidence from a carbon burial experiment","docAbstract":"Organic carbon supply is linked to nitrogen transformation in ecosystems. However, the role of organic carbon quality in nitrogen processing is not as well understood. We determined how the quality of particulate organic carbon (POC) influenced nitrogen transformation in stream sediments by burying identical quantities of varying quality POC (northern red oak (<i>Quercus rubra</i>) leaves, red maple (<i>Acer rubrum</i>) leaves, red maple wood) in stream mesocosms and measuring the effects on nitrogen retention and denitrification compared to a control of combusted sand. We also determined how POC quality affected the quantity and quality of dissolved organic carbon (DOC) and dissolved oxygen concentration in groundwater. Nitrate and total dissolved nitrogen (TDN) retention were assessed by comparing solute concentrations and fluxes along groundwater flow paths in the mesocosms. Denitrification was measured by in situ changes in N<sub>2</sub> concentrations (using MIMS) and by acetylene block incubations. POC quality was measured by C:N and lignin:N ratios and DOC quality was assessed by fluorescence excitation emission matrix spectroscopy. POC quality had strong effects on nitrogen processing. Leaf treatments had much higher nitrate retention, TDN retention and denitrification rates than the wood and control treatments and red maple leaf burial resulted in higher nitrate and TDN retention rates than burial of red oak leaves. Leaf, but not wood, burial drove pore water to severe hypoxia and leaf treatments had higher DOC production and different DOC chemical composition than the wood and control treatments. We think that POC quality affected nitrogen processing in the sediments by influencing the quantity and quality of DOC and redox conditions. Our results suggest that the type of organic carbon inputs can affect the rates of nitrogen transformation in stream ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10533-014-9975-0","usgsCitation":"Stelzer, R.S., Scott, J.T., Bartsch, L., and Parr, T.B., 2014, Particulate organic matter quality influences nitrate retention and denitrification in stream sediments: evidence from a carbon burial experiment: Biogeochemistry, v. 119, no. 1-3, p. 387-402, https://doi.org/10.1007/s10533-014-9975-0.","productDescription":"16 p.","startPage":"387","endPage":"402","numberOfPages":"16","ipdsId":"IP-052311","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":286856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286855,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10533-014-9975-0"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.84542,44.243546 ], [ -89.84542,44.685869 ], [ -89.223035,44.685869 ], [ -89.223035,44.243546 ], [ -89.84542,44.243546 ] ] ] } } ] }","volume":"119","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2014-03-23","publicationStatus":"PW","scienceBaseUri":"53659160e4b05b5c4c6db0fe","contributors":{"authors":[{"text":"Stelzer, Robert S.","contributorId":56538,"corporation":false,"usgs":false,"family":"Stelzer","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":493251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, J. Thad","contributorId":91406,"corporation":false,"usgs":false,"family":"Scott","given":"J.","email":"","middleInitial":"Thad","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":493253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartsch, Lynn 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":3342,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parr, Thomas B.","contributorId":68222,"corporation":false,"usgs":true,"family":"Parr","given":"Thomas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":493252,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103392,"text":"70103392 - 2014 - Passive acoustic monitoring to detect spawning in large-bodied catostomids","interactions":[],"lastModifiedDate":"2014-05-16T16:32:49","indexId":"70103392","displayToPublicDate":"2014-05-02T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Passive acoustic monitoring to detect spawning in large-bodied catostomids","docAbstract":"Documenting timing, locations, and intensity of spawning can provide valuable information for conservation and management of imperiled fishes. However, deep, turbid or turbulent water, or occurrence of spawning at night, can severely limit direct observations. We have developed and tested the use of passive acoustics to detect distinctive acoustic signatures associated with spawning events of two large-bodied catostomid species (River Redhorse <i>Moxostoma carinatum</i> and Robust Redhorse <i>Moxostoma robustum</i>) in river systems in north Georgia. We deployed a hydrophone with a recording unit at four different locations on four different dates when we could both record and observe spawning activity. Recordings captured 494 spawning events that we acoustically characterized using dominant frequency, 95% frequency, relative power, and duration. We similarly characterized 46 randomly selected ambient river noises. Dominant frequency did not differ between redhorse species and ranged from 172.3 to 14,987.1 Hz. Duration of spawning events ranged from 0.65 to 11.07 s, River Redhorse having longer durations than Robust Redhorse. Observed spawning events had significantly higher dominant and 95% frequencies than ambient river noises. We additionally tested software designed to automate acoustic detection. The automated detection configurations correctly identified 80–82% of known spawning events, and falsely indentified spawns 6–7% of the time when none occurred. These rates were combined over all recordings; rates were more variable among individual recordings. Longer spawning events were more likely to be detected. Combined with sufficient visual observations to ascertain species identities and to estimate detection error rates, passive acoustic recording provides a useful tool to study spawning frequency of large-bodied fishes that displace gravel during egg deposition, including several species of imperiled catostomids.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880737","usgsCitation":"Straight, C.A., Freeman, B.J., and Freeman, M., 2014, Passive acoustic monitoring to detect spawning in large-bodied catostomids: Transactions of the American Fisheries Society, v. 143, no. 3, p. 595-605, https://doi.org/10.1080/00028487.2014.880737.","productDescription":"11 p.","startPage":"595","endPage":"605","numberOfPages":"11","ipdsId":"IP-052593","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":286853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286838,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2014.880737"}],"country":"United States","state":"Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.6052,33.0103 ], [ -85.6052,35.4136 ], [ -81.5769,35.4136 ], [ -81.5769,33.0103 ], [ -85.6052,33.0103 ] ] ] } } ] }","volume":"143","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-04-14","publicationStatus":"PW","scienceBaseUri":"53659161e4b05b5c4c6db103","contributors":{"authors":[{"text":"Straight, Carrie A.","contributorId":31247,"corporation":false,"usgs":false,"family":"Straight","given":"Carrie","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":493286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":493287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493285,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171516,"text":"70171516 - 2014 - A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","interactions":[],"lastModifiedDate":"2016-06-02T14:19:02","indexId":"70171516","displayToPublicDate":"2014-05-01T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","docAbstract":"<p><span>An examination of the relation between runoff rate,&nbsp;</span><i class=\"EmphasisTypeItalic \">R</i><span>, and concentration,&nbsp;</span><i class=\"EmphasisTypeItalic \">C</i><span>, of twelve major constituents in four small watersheds in eastern Puerto Rico demonstrates a consistent pattern of responses. For solutes that are not substantially bioactive (alkalinity, silica, calcium, magnesium, sodium, and chloride), the log(</span><i class=\"EmphasisTypeItalic \">R</i><span>)&ndash;log(</span><i class=\"EmphasisTypeItalic \">C</i><span>) relation is almost linear and can be described as a weighted average of two sources, bedrock weathering and atmospheric deposition. The slope of the relation for each solute depends on the respective source contributions to the total river load. If a solute were strictly derived from bedrock weathering, the slope would be &minus;0.3 to &minus;0.4, whereas if strictly derived from atmospheric deposition, the slope would be approximately &minus;0.1. The bioactive constituents (dissolved organic carbon, nitrate, sulfate, and potassium), which are recycled by plants and concentrated in shallow soil, demonstrate nearly flat or downward-arched log(</span><i class=\"EmphasisTypeItalic \">R</i><span>)&ndash;log(</span><i class=\"EmphasisTypeItalic \">C</i><span>) relations. The peak of the arch represents a transition from dominantly soil-matrix flow to near-surface macropore flow, and finally to overland flow. At highest observed&nbsp;</span><i class=\"EmphasisTypeItalic \">R</i><span>&nbsp;(80 to &gt;90&nbsp;mm/h), essentially all reactive surfaces have become wetted, and the input rate of&nbsp;</span><i class=\"EmphasisTypeItalic \">C</i><span>&nbsp;becomes independent of&nbsp;</span><i class=\"EmphasisTypeItalic \">R</i><span>&nbsp;(log(</span><i class=\"EmphasisTypeItalic \">R</i><span>)&ndash;log(</span><i class=\"EmphasisTypeItalic \">C</i><span>) slope of &ndash;1). The highest&nbsp;</span><i class=\"EmphasisTypeItalic \">R</i><span>&nbsp;are tenfold greater than any previous study. Slight clockwise hysteresis for many solutes in the rivers with riparian zones or substantial hyporheic flows indicates that these settings may act as mixing end-members. Particulate constituents (suspended sediment and particulate organic carbon) show slight clockwise hysteresis, indicating mobilization of stored sediment during rising stage.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10498-013-9216-5","usgsCitation":"Stallard, R.F., and Murphy, S.F., 2014, A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations: Aquatic Geochemistry, v. 20, no. 2, p. 115-139, https://doi.org/10.1007/s10498-013-9216-5.","productDescription":"25 p.","startPage":"115","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044740","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-06","publicationStatus":"PW","scienceBaseUri":"575158ace4b053f0edd03c19","contributors":{"authors":[{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70108159,"text":"70108159 - 2014 - Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","interactions":[],"lastModifiedDate":"2014-06-09T15:11:37","indexId":"70108159","displayToPublicDate":"2014-05-01T14:57:23","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","docAbstract":"In greater Augusta of central Maine, 53 out of 1093 (4.8%) private bedrock well water samples from 1534 km<sup>2</sup> contained [U] >30 μg/L, the U.S. Environmental Protection Agency’s (EPA) Maximum Contaminant Level (MCL) for drinking water; and 226 out of 786 (29%) samples from 1135 km<sup>2</sup> showed [Rn] >4,000 pCi/L (148 Bq/L), the U.S. EPA’s Alternative MCL. Groundwater pH, calcite dissolution and redox condition are factors controlling the distribution of groundwater U but not Rn due to their divergent chemical and hydrological properties. Groundwater U is associated with incompatible elements (S, As, Mo, F, and Cs) in water samples within granitic intrusions. Elevated [U] and [Rn] are located within 5–10 km distance of granitic intrusions but do not show correlations with metamorphism at intermediate scales (100−101 km). This spatial association is confirmed by a high-density sampling (n = 331, 5–40 samples per km<sup>2</sup>) at local scales (≤10<sup>–1</sup> km) and the statewide sampling (n = 5857, 1 sample per 16 km<sup>2</sup>) at regional scales (10<sup>2</sup>–10<sup>3</sup> km). Wells located within 5 km of granitic intrusions are at risk of containing high levels of [U] and [Rn]. Approximately 48 800–63 900 and 324 000 people in Maine are estimated at risk of exposure to U (>30 μg/L) and Rn (>4000 pCi/L) in well water, respectively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es405020k","usgsCitation":"Yang, Q., Smitherman, P., Hess, C., Culbertson, C.W., Marvinney, R., and Zheng, Y., 2014, Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales: Environmental Science & Technology, v. 48, no. 8, p. 4298-4306, https://doi.org/10.1021/es405020k.","productDescription":"9 p.","startPage":"4298","endPage":"4306","numberOfPages":"9","ipdsId":"IP-052124","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":473008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es405020k","text":"Publisher Index Page"},{"id":288184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es405020k"}],"country":"United States","state":"Maine","city":"Augusta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.08,42.97 ], [ -71.08,47.46 ], [ -66.95,47.46 ], [ -66.95,42.97 ], [ -71.08,42.97 ] ] ] } } ] }","volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-03-28","publicationStatus":"PW","scienceBaseUri":"5396d776e4b0f7580bc0a92a","contributors":{"authors":[{"text":"Yang, Qiang","contributorId":27362,"corporation":false,"usgs":true,"family":"Yang","given":"Qiang","affiliations":[],"preferred":false,"id":493972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smitherman, Paul","contributorId":56976,"corporation":false,"usgs":true,"family":"Smitherman","given":"Paul","email":"","affiliations":[],"preferred":false,"id":493974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, C.T.","contributorId":39556,"corporation":false,"usgs":true,"family":"Hess","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":493973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvinney, Robert G.","contributorId":23070,"corporation":false,"usgs":true,"family":"Marvinney","given":"Robert G.","affiliations":[],"preferred":false,"id":493971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":493975,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70049028,"text":"fs20133108 - 2014 - Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","interactions":[],"lastModifiedDate":"2014-05-01T14:33:56","indexId":"fs20133108","displayToPublicDate":"2014-05-01T14:14:26","publicationYear":"2014","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":"2013-3108","title":"Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","docAbstract":"<p>Flood-frequency analysis provides information about the magnitude and frequency of flood discharges based on records of annual maximum instantaneous peak discharges collected at streamgages. The information is essential for defining flood-hazard areas, for managing floodplains, and for designing bridges, culverts, dams, levees, and other flood-control structures.</p>\n\n<br>\n\n<p>Bulletin 17B (B17B) of the Interagency Advisory Committee on Water Data (IACWD; 1982) codifies the standard methodology for conducting flood-frequency studies in the United States. B17B specifies that annual peak-flow data are to be fit to a log-Pearson Type III distribution. Specific methods are also prescribed for improving skew estimates using regional skew information, tests for high and low outliers, adjustments for low outliers and zero flows, and procedures for incorporating historical flood information.</p>\n\n<br>\n\n<p>The authors of B17B identified various needs for methodological improvement and recommended additional study. In response to these needs, the Advisory Committee on Water Information (ACWI, successor to IACWD; <a href=\" http://acwi.gov/\" target=\"_blank\"> http://acwi.gov/</a>, Subcommittee on Hydrology (SOH), Hydrologic Frequency Analysis Work Group (HFAWG), has recommended modest changes to B17B. These changes include adoption of a generalized method-of-moments estimator denoted the Expected Moments Algorithm (EMA) (Cohn and others, 1997) and a generalized version of the Grubbs-Beck test for low outliers (Cohn and others, 2013). The SOH requested that the USGS implement these changes in a user-friendly, publicly accessible program.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133108","usgsCitation":"Veilleux, A.G., Cohn, T., Flynn, K.M., Mason, and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013-3108, 2 p., https://doi.org/10.3133/fs20133108.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-049306","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":286834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133108.jpg"},{"id":286832,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3108/"},{"id":286833,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3108/pdf/fs2013-3108.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53635ecfe4b08180b01424fa","contributors":{"authors":[{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Kathleen M.","contributorId":43756,"corporation":false,"usgs":true,"family":"Flynn","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":486047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Paul R.","contributorId":58728,"corporation":false,"usgs":true,"family":"Hummel","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048513,"text":"70048513 - 2014 - Effect of sulfate and carbonate minerals on particle-size distributions in arid soils","interactions":[],"lastModifiedDate":"2014-06-19T09:41:10","indexId":"70048513","displayToPublicDate":"2014-05-01T14:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of sulfate and carbonate minerals on particle-size distributions in arid soils","docAbstract":"Arid soils pose unique problems during measurement and interpretation of particle-size distributions (PSDs) because they often contain high concentrations of water-soluble salts. This study investigates the effects of sulfate and carbonate minerals on grain-size analysis by comparing analyses in water, in which the minerals dissolve, and isopropanol (IPA), in which they do not. The presence of gypsum, in particular, substantially affects particle-size analysis once the concentration of gypsum in the sample exceeds the mineral’s solubility threshold. For smaller concentrations particle-size results are unaffected. This is because at concentrations above the solubility threshold fine particles cement together or bind to coarser particles or aggregates already present in the sample, or soluble mineral coatings enlarge grains. Formation of discrete crystallites exacerbates the problem. When soluble minerals are dissolved the original, insoluble grains will become partly or entirely liberated. Thus, removing soluble minerals will result in an increase in measured fine particles. Distortion of particle-size analysis is larger for sulfate minerals than for carbonate minerals because of the much higher solubility in water of the former. When possible, arid soils should be analyzed using a liquid in which the mineral grains do not dissolve, such as IPA, because the results will more accurately reflect the PSD under most arid soil field conditions. This is especially important when interpreting soil and environmental processes affected by particle size.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Science Society of America Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/sssaj2013.11.0499","usgsCitation":"Goossens, D., Buck, B.J., Teng, Y., Robins, C., and Goldstein, H., 2014, Effect of sulfate and carbonate minerals on particle-size distributions in arid soils: Soil Science Society of America Journal, v. 78, no. 3, p. 881-893, https://doi.org/10.2136/sssaj2013.11.0499.","productDescription":"13 p.","startPage":"881","endPage":"893","numberOfPages":"13","ipdsId":"IP-036060","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":287953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2013.11.0499"}],"volume":"78","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-06-10","publicationStatus":"PW","scienceBaseUri":"53ae7695e4b0abf75cf2bfb2","contributors":{"authors":[{"text":"Goossens, Dirk","contributorId":23419,"corporation":false,"usgs":true,"family":"Goossens","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":484900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buck, Brenda J.","contributorId":85864,"corporation":false,"usgs":true,"family":"Buck","given":"Brenda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Yuazxin","contributorId":107615,"corporation":false,"usgs":true,"family":"Teng","given":"Yuazxin","email":"","affiliations":[],"preferred":false,"id":484903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robins, Colin","contributorId":12369,"corporation":false,"usgs":true,"family":"Robins","given":"Colin","email":"","affiliations":[],"preferred":false,"id":484899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":484901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70126738,"text":"70126738 - 2014 - Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery","interactions":[],"lastModifiedDate":"2017-06-30T13:53:36","indexId":"70126738","displayToPublicDate":"2014-05-01T14:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery","docAbstract":"<p>The Enbridge Line 6B pipeline release of diluted bitumen into the Kalamazoo River downstream of Marshall, MI in July 2010 is one of the largest freshwater oil spills in North American history. The unprecedented scale of impact and massive quantity of oil released required the development and implementation of new approaches for detection and recovery. At the onset of cleanup, conventional recovery techniques were employed for the initially floating oil and were successful. However, volatilization of the lighter diluent, along with mixing of the oil with sediment during flooded, turbulent river conditions caused the oil to sink and collect in natural deposition areas in the river. For more than three years after the spill, recovery of submerged oil has remained the predominant operational focus of the response.</p>\n<br>\n<p>The recovery complexities for submerged oil mixed with sediment in depositional areas and long-term oil sheening along approximately 38 miles of the Kalamazoo River led to the development of a multiple-lines-of-evidence approach comprising six major components: geomorphic mapping, field assessments of submerged oil (poling), systematic tracking and mapping of oil sheen, hydrodynamic and sediment transport modeling, forensic oil chemistry, and net environmental benefit analysis. The Federal On-Scene Coordinator (FOSC) considered this information in determining the appropriate course of action for each impacted segment of the river.</p>\n<br>\n<p>New sources of heavy crude oils like diluted bitumen and increasing transportation of those oils require changes in the way emergency personnel respond to oil spills in the Great Lakes and other freshwater ecosystems. Strategies to recover heavy oils must consider that the oils may suspend or sink in the water column, mix with fine-grained sediment, and accumulate in depositional areas. Early understanding of the potential fate and behavior of diluted bitumen spills when combined with timely, strong conventional recovery methods can significantly influence response success.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Oil Spill Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Oil Spill Conference","publisherLocation":"Washington D.C.","doi":"10.7901/2169-3358-2014.1.434","usgsCitation":"Dollhopf, R.H., Fitzpatrick, F.A., Kimble, J.W., Capone, D.M., Graan, T.P., Zelt, R.B., and Johnson, R., 2014, Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery, <i>in</i> International Oil Spill Conference Proceedings, v. 2014, no. 1, p. 434-448, https://doi.org/10.7901/2169-3358-2014.1.434.","productDescription":"15 p.","startPage":"434","endPage":"448","numberOfPages":"15","ipdsId":"IP-053313","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":294549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294548,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7901/2169-3358-2014.1.434"}],"country":"United States","state":"Michigan","otherGeospatial":"Kalamazoo River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.663515,42.215564 ], [ -85.663515,42.406311 ], [ -84.915548,42.406311 ], [ -84.915548,42.215564 ], [ -85.663515,42.215564 ] ] ] } } ] }","volume":"2014","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252ec9e4b0e641df8a7110","contributors":{"authors":[{"text":"Dollhopf, Ralph H.","contributorId":31323,"corporation":false,"usgs":true,"family":"Dollhopf","given":"Ralph","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":502146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimble, Jeffrey W.","contributorId":58961,"corporation":false,"usgs":true,"family":"Kimble","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":502147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capone, Daniel M.","contributorId":64167,"corporation":false,"usgs":true,"family":"Capone","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":502148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graan, Thomas P.","contributorId":97021,"corporation":false,"usgs":true,"family":"Graan","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":502149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zelt, Ronald B. 0000-0001-9024-855X rbzelt@usgs.gov","orcid":"https://orcid.org/0000-0001-9024-855X","contributorId":300,"corporation":false,"usgs":true,"family":"Zelt","given":"Ronald","email":"rbzelt@usgs.gov","middleInitial":"B.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Rex","contributorId":104374,"corporation":false,"usgs":true,"family":"Johnson","given":"Rex","affiliations":[],"preferred":false,"id":502150,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70115118,"text":"70115118 - 2014 - Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics","interactions":[],"lastModifiedDate":"2018-03-29T09:58:06","indexId":"70115118","displayToPublicDate":"2014-05-01T13:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3289,"text":"Revista Mexicana de Ciencias Geológicas","onlineIssn":"2007-2902","printIssn":"1026-8774","active":true,"publicationSubtype":{"id":10}},"title":"Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics","docAbstract":"<p>Three sets of fusulinid faunas in Sonora, Mexico, discussed herein, record different depositional and paleotectonic settings along the southwestern margin of Laurentia (North America) during Pennsylvanian and Permian time. The settings include: offshelf continental rise and ocean basin (Rancho Nuevo Formation in the Sonora allochthon), shallow continental shelf (La Cueva Limestone), and foredeep basin on the continental shelf (Mina México Formation). Our data represent 41 fusulinid collections from 23 localities with each locality providing one to eight collections.</p><p>Reworked fusulinids in the Middle and Upper Pennsylvanian part of the Rancho Nuevo Formation range in age from Desmoinesian into Virgilian (Moscovian-Gzhelian). Indigenous Permian fusulinids in the La Cueva Limestone range in age from middle or late Wolfcampian to middle Leonardian (late Sakmarian-late Artinskian), and reworked Permian fusulinids in the Mina México Formation range in age from early to middle Leonardian (middle-late Artinskian). Conodonts of Guadalupian age occur in some turbidites in the Mina México Formation, indicating the youngest foredeep deposit is at least Middle Permian in age. Our fusulinid collections indicate a hiatus of at least 10 m.y. between the youngest Pennsylvanian (Virgilian) rocks in the Sonora allochthon and the oldest Permian (middle Wolfcampian) rocks in the region.</p><p>Most fusulinid faunas in Sonora show affinities to those of West Texas, New Mexico, and Arizona; however, some genera and species are similar to those in southeastern California. As most species are similar to those east of the southwest-trending Transcontinental arch in New Mexico and Arizona, this arch may have formed a barrier preventing large-scale migration and mixing of faunas between the southern shelf of Laurentia in northwestern Mexico and the western shelf in the southwestern United States.</p><p>The Sonora allochthon, consisting of pre-Permian (Lower Ordovician to Upper Pennsylvanian) deep-water continental-rise and ocean-basin rocks, was thrust northward 50–200 km over Permian and older shallow-water carbonate-shelf rocks and Permian deep-water foredeep rocks of southern Laurentia. As Triassic rocks unconformably overlie the Sonora allochthon, we conclude that terminal movement of the allochthon was in Late Permian time.</p>","language":"English","publisher":"National Autonomous University of Mexico, Sociedad Geológica Mexicana, Instituto Nacional de Geoquímica, Sociedad Mexicana de Paleontología","usgsCitation":"Stevens, C., Poole, F.G., and Amaya-Martinez, R., 2014, Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics: Revista Mexicana de Ciencias Geológicas, v. 31, no. 1, p. 14-27.","productDescription":"14 p.","startPage":"14","endPage":"27","ipdsId":"IP-044690","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":289327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289326,"type":{"id":15,"text":"Index Page"},"url":"https://rmcg.geociencias.unam.mx/revista/index.html"}],"country":"Mexico","state":"Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.7262,27.402 ], [ -112.7262,30.4937 ], [ -108.1985,30.4937 ], [ -108.1985,27.402 ], [ -112.7262,27.402 ] ] ] } } ] }","volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3d869e4b07c5f79a7f342","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":495557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Forrest G. 0000-0001-8487-0799 bpoole@usgs.gov","orcid":"https://orcid.org/0000-0001-8487-0799","contributorId":1543,"corporation":false,"usgs":true,"family":"Poole","given":"Forrest","email":"bpoole@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":495556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amaya-Martinez, Ricardo","contributorId":108405,"corporation":false,"usgs":true,"family":"Amaya-Martinez","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":495558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70150435,"text":"70150435 - 2014 - Effects of smallmouth buffalo, <i>Ictiobus bubalus</i> biomass on water transparency, nutrients, and productivity in shallow experimental ponds","interactions":[],"lastModifiedDate":"2015-06-26T11:34:32","indexId":"70150435","displayToPublicDate":"2014-05-01T12:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of smallmouth buffalo, <i>Ictiobus bubalus</i> biomass on water transparency, nutrients, and productivity in shallow experimental ponds","docAbstract":"<p>The smallmouth buffalo <i>Ictiobus bubalus</i> is a native benthivore to floodplain lakes in the Yazoo River Basin, USA. Based on evidence from other benthivorous fish studies we hypothesized high biomasses of <i>I. bubalus</i> contribute to poor water quality conditions. We tested this hypothesis in shallow (&lt; 1.5 m) 0.05 ha earthen ponds at three stocking biomasses over a 10-week period during the summer of 2012. The most notable results from the permutational multivariate analysis of variance suggest <i>I. bubalus</i> at high and moderate biomasses significantly (p &lt; 0.05) enhanced turbidity and suspended solid levels while decreasing Secchi depth. Our results suggest that effects of <i>I. bubalus</i> on water clarity may have considerable ecological implications in natural habitats such as shallow floodplain lakes.</p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s00128-014-1231-8","usgsCitation":"Goetz, D.B., Kroger, R., and Miranda, L.E., 2014, Effects of smallmouth buffalo, <i>Ictiobus bubalus</i> biomass on water transparency, nutrients, and productivity in shallow experimental ponds: Bulletin of Environmental Contamination and Toxicology, v. 92, no. 5, p. 503-508, https://doi.org/10.1007/s00128-014-1231-8.","productDescription":"6 p.","startPage":"503","endPage":"508","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054941","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-14","publicationStatus":"PW","scienceBaseUri":"558e77b5e4b0b6d21dd6594e","contributors":{"authors":[{"text":"Goetz, Daniel B.","contributorId":143784,"corporation":false,"usgs":false,"family":"Goetz","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":557066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroger, Robert","contributorId":143701,"corporation":false,"usgs":false,"family":"Kroger","given":"Robert","email":"","affiliations":[],"preferred":false,"id":557067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70134285,"text":"70134285 - 2014 - Multi-trophic resilience of boreal lake ecosystems to forest fires","interactions":[],"lastModifiedDate":"2020-12-23T15:48:43.593475","indexId":"70134285","displayToPublicDate":"2014-05-01T12:00:00","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":"Multi-trophic resilience of boreal lake ecosystems to forest fires","docAbstract":"<p><span>Fires are the major natural disturbance in the boreal forest, and their frequency and intensity will likely increase as the climate warms. Terrestrial nutrients released by fires may be transported to boreal lakes, stimulating increased primary productivity, which may radiate through multiple trophic levels. Using a before‐after‐control‐impact (BACI) design, with pre‐ and postfire data from burned and unburned areas, we examined effects of a natural fire across several trophic levels of boreal lakes, from nutrient and chlorophyll levels, to macroinvertebrates, to waterbirds. Concentrations of total nitrogen and phosphorus were not affected by the fire. Chlorophyll&nbsp;</span><i>a</i><span>&nbsp;levels were also unaffected, likely reflecting the stable nutrient concentrations. For aquatic invertebrates, we found that densities of three functional feeding groups did not respond to the fire (filterers, gatherers, scrapers), while two groups increased (shredders, predators). Amphipods accounted for 98% of shredder numbers, and we hypothesize that fire‐mediated habitat changes may have favored their generalist feeding and habitat ecology. This increase in amphipods may, in turn, have driven increased predator densities, as amphipods were the most numerous invertebrate in our lakes and are commonly taken as prey. Finally, abundance of waterbird young, which feed primarily on aquatic invertebrates, was not affected by the fire. Overall, ecosystems of our study lakes were largely resilient to forest fires, likely due to their high initial nutrient concentrations and small catchment sizes. Moreover, this resilience spanned multiple trophic levels, a significant result for ecologically similar boreal regions, especially given the high potential for increased fires with future climate change.</span></p>","language":"English","publisher":"Brooklyn Botanical Garden","publisherLocation":"Brooklyn, NY","doi":"10.1890/13-1170.1","usgsCitation":"Lewis, T., Lindberg, M., Schmutz, J.A., and Bertram, M., 2014, Multi-trophic resilience of boreal lake ecosystems to forest fires: Ecology, v. 95, no. 5, p. 1253-1263, https://doi.org/10.1890/13-1170.1.","productDescription":"11 p.","startPage":"1253","endPage":"1263","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051760","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-1170.1","text":"Publisher Index Page"},{"id":296376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -149.337158203125,\n              65.96885156164706\n            ],\n            [\n              -145.8984375,\n              65.96885156164706\n            ],\n            [\n              -145.8984375,\n              67.35255537048229\n            ],\n            [\n              -149.337158203125,\n              67.35255537048229\n            ],\n            [\n              -149.337158203125,\n              65.96885156164706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"95","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2cde4b09357f05f8a63","contributors":{"authors":[{"text":"Lewis, Tyler L.","contributorId":22904,"corporation":false,"usgs":false,"family":"Lewis","given":"Tyler L.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":526086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":525788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertram, M.R.","contributorId":77387,"corporation":false,"usgs":true,"family":"Bertram","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":526088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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