{"pageNumber":"593","pageRowStart":"14800","pageSize":"25","recordCount":69035,"records":[{"id":70059306,"text":"70059306 - 2013 - Interactions between hyporheic flow produced by stream meanders, bars, and dunes","interactions":[],"lastModifiedDate":"2013-12-20T14:09:09","indexId":"70059306","displayToPublicDate":"2013-12-19T14:05:07","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between hyporheic flow produced by stream meanders, bars, and dunes","docAbstract":"Stream channel morphology from grain-scale roughness to large meanders drives hyporheic exchange flow. In practice, it is difficult to model hyporheic flow over the wide spectrum of topographic features typically found in rivers. As a result, many studies only characterize isolated exchange processes at a single spatial scale. In this work, we simulated hyporheic flows induced by a range of geomorphic features including meanders, bars and dunes in sand bed streams. Twenty cases were examined with 5 degrees of river meandering. Each meandering river model was run initially without any small topographic features. Models were run again after superimposing only bars and then only dunes, and then run a final time after including all scales of topographic features. This allowed us to investigate the relative importance and interactions between flows induced by different scales of topography. We found that dunes typically contributed more to hyporheic exchange than bars and meanders. Furthermore, our simulations show that the volume of water exchanged and the distributions of hyporheic residence times resulting from various scales of topographic features are close to, but not linearly additive. These findings can potentially be used to develop scaling laws for hyporheic flow that can be widely applied in streams and rivers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20400","usgsCitation":"Stonedahl, S.H., Harvey, J.W., and Packman, A., 2013, Interactions between hyporheic flow produced by stream meanders, bars, and dunes: Water Resources Research, v. 49, no. 9, p. 5450-5461, https://doi.org/10.1002/wrcr.20400.","productDescription":"12 p.","startPage":"5450","endPage":"5461","ipdsId":"IP-049233","costCenters":[{"id":628,"text":"Water Resources Discipline","active":false,"usgs":true}],"links":[{"id":280486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280485,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20400"}],"volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-06","publicationStatus":"PW","scienceBaseUri":"53cd62c4e4b0b290850fe642","contributors":{"authors":[{"text":"Stonedahl, Susa H.","contributorId":66145,"corporation":false,"usgs":true,"family":"Stonedahl","given":"Susa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":487663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":487661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Packman, Aaron I.","contributorId":15092,"corporation":false,"usgs":true,"family":"Packman","given":"Aaron I.","affiliations":[],"preferred":false,"id":487662,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70059278,"text":"70059278 - 2013 - Performance of human fecal anaerobe-associated PCR-based assays in a multi-laboratory method evaluation study","interactions":[],"lastModifiedDate":"2013-12-20T13:07:35","indexId":"70059278","displayToPublicDate":"2013-12-19T11:52:31","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Performance of human fecal anaerobe-associated PCR-based assays in a multi-laboratory method evaluation study","docAbstract":"A number of PCR-based methods for detecting human fecal material in environmental waters have been developed over the past decade, but these methods have rarely received independent comparative testing in large multi-laboratory studies. Here, we evaluated ten of these methods (BacH, BacHum-UCD, Bacteroides thetaiotaomicron (BtH), BsteriF1, gyrB, HF183 endpoint, HF183 SYBR, HF183 Taqman®, HumM2, and Methanobrevibacter smithii nifH (Mnif)) using 64 blind samples prepared in one laboratory. The blind samples contained either one or two fecal sources from human, wastewater or non-human sources. The assay results were assessed for presence/absence of the human markers and also quantitatively while varying the following: 1) classification of samples that were detected but not quantifiable (DNQ) as positive or negative; 2) reference fecal sample concentration unit of measure (such as culturable indicator bacteria, wet mass, total DNA, etc); and 3) human fecal source type (stool, sewage or septage). Assay performance using presence/absence metrics was found to depend on the classification of DNQ samples. The assays that performed best quantitatively varied based on the fecal concentration unit of measure and laboratory protocol. All methods were consistently more sensitive to human stools compared to sewage or septage in both the presence/absence and quantitative analysis. Overall, HF183 Taqman® was found to be the most effective marker of human fecal contamination in this California-based study.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ScienceDirect","doi":"10.1016/j.watres.2013.05.060","usgsCitation":"Layton, B.A., Cao, Y., Ebentier, D.L., Hanley, K., Balleste, E., Brandao, J., Byappanahalli, M., Converse, R., Farnleitner, A.H., Gentry-Shields, J.G., Gourmelon, M., Lee, C.S., Lee, J., Lozach, S., Madi, T., Meijer, W.G., Noble, R., Peed, L., Reischer, G.H., Rodrigues, R., Rose, J.B., Schriewer, A., Sinigalliano, C., Srinivasan, S., Stewart, J., Van De Werfhorst, Laurie, C., Wang, D., Whitman, R., Wuertz, S., Jay, J., Holden, P.A., Boehm, A., Shanks, O., and Griffith, J.F., 2013, Performance of human fecal anaerobe-associated PCR-based assays in a multi-laboratory method evaluation study: Water Research, v. 47, no. 18, p. 6897-6908, https://doi.org/10.1016/j.watres.2013.05.060.","productDescription":"12 p.","startPage":"6897","endPage":"6908","ipdsId":"IP-044795","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280470,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2013.05.060"}],"volume":"47","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6ad1e4b0b29085103818","contributors":{"authors":[{"text":"Layton, Blythe A.","contributorId":20644,"corporation":false,"usgs":true,"family":"Layton","given":"Blythe","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cao, Yiping","contributorId":37633,"corporation":false,"usgs":true,"family":"Cao","given":"Yiping","affiliations":[],"preferred":false,"id":487575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebentier, Darcy L.","contributorId":13524,"corporation":false,"usgs":true,"family":"Ebentier","given":"Darcy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanley, Kaitlyn","contributorId":97416,"corporation":false,"usgs":true,"family":"Hanley","given":"Kaitlyn","affiliations":[],"preferred":false,"id":487599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balleste, Elisenda","contributorId":96580,"corporation":false,"usgs":true,"family":"Balleste","given":"Elisenda","email":"","affiliations":[],"preferred":false,"id":487598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brandao, 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Richard","contributorId":100811,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","affiliations":[],"preferred":false,"id":487600,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wuertz, Stefan","contributorId":64549,"corporation":false,"usgs":true,"family":"Wuertz","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":487586,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Jay, Jenny","contributorId":25858,"corporation":false,"usgs":true,"family":"Jay","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":487572,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Holden, Patricia A.","contributorId":56090,"corporation":false,"usgs":true,"family":"Holden","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487584,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":487581,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Shanks, Orin","contributorId":67794,"corporation":false,"usgs":true,"family":"Shanks","given":"Orin","affiliations":[],"preferred":false,"id":487591,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Griffith, John F.","contributorId":41325,"corporation":false,"usgs":true,"family":"Griffith","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":487576,"contributorType":{"id":1,"text":"Authors"},"rank":35}]}}
,{"id":70049014,"text":"fs20133109 - 2013 - Real-time continuous nitrate monitoring in Illinois in 2013","interactions":[],"lastModifiedDate":"2026-06-11T20:58:57.307792","indexId":"fs20133109","displayToPublicDate":"2013-12-19T11:39:00","publicationYear":"2013","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":"2013-3109","title":"Real-time continuous nitrate monitoring in Illinois in 2013","docAbstract":"Many sources contribute to the nitrogen found in surface water in Illinois. Illinois is located in the most productive agricultural area in the country, and nitrogen fertilizer is commonly used to maximize corn production in this area. Additionally, septic/wastewater systems, industrial emissions, and lawn fertilizer are common sources of nitrogen in urban areas of Illinois. In agricultural areas, the use of fertilizer has increased grain production to meet the needs of a growing population, but also has resulted in increases in nitrogen concentrations in many streams and aquifers (Dubrovsky and others, 2010). The urban sources can increase nitrogen concentrations, too. The Federal limit for nitrate nitrogen in water that is safe to drink is 10 milligrams per liter (mg/L) (http://water.epa.gov/drink/contaminants/basicinformation/nitrate.cfm, accessed on May 24, 2013). In addition to the concern with nitrate nitrogen in drinking water, nitrogen, along with phosphorus, is an aquatic concern because it feeds the intensive growth of algae that are responsible for the hypoxic zone in the Gulf of Mexico. The largest nitrogen flux to the waters feeding the Gulf of Mexico is from Illinois (Alexander and others, 2008). Most studies of nitrogen in surface water and groundwater include samples for nitrate nitrogen collected weekly or monthly, but nitrate concentrations can change rapidly and these discrete samples may not capture rapid changes in nitrate concentrations that can affect human and aquatic health. Continuous monitoring for nitrate could inform scientists and water-resource managers of these changes and provide information on the transport of nitrate in surface water and groundwater.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133109","usgsCitation":"Warner, K., Terrio, P.J., Straub, T., Roseboom, D., and Johnson, G.P., 2013, Real-time continuous nitrate monitoring in Illinois in 2013: U.S. Geological Survey Fact Sheet 2013-3109, 3 p., https://doi.org/10.3133/fs20133109.","productDescription":"3 p.","ipdsId":"IP-045559","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":280430,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3109/"},{"id":280429,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3109/pdf/fs2013-3109.pdf"},{"id":505522,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99420.htm","linkFileType":{"id":5,"text":"html"}},{"id":280431,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133109.jpg"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.51,36.97 ], [ -91.51,42.51 ], [ -87.5,42.51 ], [ -87.5,36.97 ], [ -91.51,36.97 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b41581e4b029a4958c9d20","contributors":{"authors":[{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roseboom, Donald roseboom@usgs.gov","contributorId":3974,"corporation":false,"usgs":true,"family":"Roseboom","given":"Donald","email":"roseboom@usgs.gov","affiliations":[],"preferred":true,"id":486028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Gary P. 0000-0003-0363-9873 gjohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-0363-9873","contributorId":2959,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"gjohnson@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":486026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70059277,"text":"70059277 - 2013 - Shallow groundwater and soil chemistry response to 3 years of subsurface drip irrigation using coalbed-methane-produced water","interactions":[],"lastModifiedDate":"2013-12-20T11:33:09","indexId":"70059277","displayToPublicDate":"2013-12-19T11:28:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Shallow groundwater and soil chemistry response to 3 years of subsurface drip irrigation using coalbed-methane-produced water","docAbstract":"Disposal of produced waters, pumped to the surface as part of coalbed methane (CBM) development, is a significant environmental issue in the Wyoming portion of the Powder River Basin, USA. High sodium adsorption ratios (SAR) of the waters could degrade agricultural land, especially if directly applied to the soil surface. One method of disposing of CBM water, while deriving beneficial use, is subsurface drip irrigation (SDI), where acidified CBM waters are applied to alfalfa fields year-round via tubing buried 0.92 m deep. Effects of the method were studied on an alluvial terrace with a relatively shallow depth to water table (∼3 m). Excess irrigation water caused the water table to rise, even temporarily reaching the depth of drip tubing. The rise corresponded to increased salinity in some monitoring wells. Three factors appeared to drive increased groundwater salinity: (1) CBM solutes, concentrated by evapotranspiration; (2) gypsum dissolution, apparently enhanced by cation exchange; and (3) dissolution of native Na–Mg–SO<sub>4</sub> salts more soluble than gypsum. Irrigation with high SAR (∼24) water has increased soil saturated paste SAR up to 15 near the drip tubing. Importantly though, little change in SAR has occurred at the surface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-013-1058-0","usgsCitation":"Bern, C., Boehlke, A., Engle, M.A., Geboy, N., Schroeder, K., and Zupancic, J., 2013, Shallow groundwater and soil chemistry response to 3 years of subsurface drip irrigation using coalbed-methane-produced water: Hydrogeology Journal, v. 21, no. 8, p. 1803-1820, https://doi.org/10.1007/s10040-013-1058-0.","productDescription":"18 p.","startPage":"1803","endPage":"1820","ipdsId":"IP-041437","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":280469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280455,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s10040-013-1058-0"},{"id":280454,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-013-1058-0"}],"country":"United States","state":"Wyoming","county":"Johnson","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.372,43.4937 ], [ -107.372,44.5653 ], [ -106.0076,44.5653 ], [ -106.0076,43.4937 ], [ -107.372,43.4937 ] ] ] } } ] }","volume":"21","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-10-04","publicationStatus":"PW","scienceBaseUri":"53cd7295e4b0b2908510865d","contributors":{"authors":[{"text":"Bern, Carleton R.","contributorId":59325,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","affiliations":[],"preferred":false,"id":487564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":487562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":487560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geboy, Nicholas J. ngeboy@usgs.gov","contributorId":3860,"corporation":false,"usgs":true,"family":"Geboy","given":"Nicholas J.","email":"ngeboy@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":487561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schroeder, K.T.","contributorId":102113,"corporation":false,"usgs":true,"family":"Schroeder","given":"K.T.","email":"","affiliations":[],"preferred":false,"id":487565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zupancic, J.W.","contributorId":42808,"corporation":false,"usgs":true,"family":"Zupancic","given":"J.W.","affiliations":[],"preferred":false,"id":487563,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70057871,"text":"ds807 - 2013 - Thermal profiles for reaches of Snee-Oosh and Fornsby Creeks, Swinomish Indian Reservation, northwestern Washington, July 2013","interactions":[],"lastModifiedDate":"2026-05-28T21:14:26.680449","indexId":"ds807","displayToPublicDate":"2013-12-18T08:21:00","publicationYear":"2013","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":"807","title":"Thermal profiles for reaches of Snee-Oosh and Fornsby Creeks, Swinomish Indian Reservation, northwestern Washington, July 2013","docAbstract":"Longitudinal profiles of streambed temperatures were measured in approximately 225-m-long reaches of the Snee-Oosh and Fornsby Creeks in the Swinomish Indian Reservation, northwestern Washington, during July 2013, to provide information about areas of groundwater discharge to streams. During summer, groundwater discharge is a source of cold water to streams and typically cools the surface water into which it discharges and buffers diurnal temperature fluctuations. Near-streambed temperatures were averaged over 1-m-long sections of cable during 1-minute periods every 30 minutes for 1-week periods using a fiber-optic distributed temperature sensor positioned on top of the streambed. The position of the fiber-optic cable was surveyed with a Global Positioning System. Stream temperatures and survey data are presented as Microsoft Excel<sup>®</sup> files consisting of date and time, water temperature, and geographical coordinates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds807","collaboration":"Prepared in cooperation with the Swinomish Indian Tribal Community","usgsCitation":"Gendaszek, A.S., and Opatz, C.C., 2013, Thermal profiles for reaches of Snee-Oosh and Fornsby Creeks, Swinomish Indian Reservation, northwestern Washington, July 2013: U.S. Geological Survey Data Series 807, Report: iv, 5 p.; Tables 1-4, https://doi.org/10.3133/ds807.","productDescription":"Report: iv, 5 p.; Tables 1-4","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052762","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":504830,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99408.htm","linkFileType":{"id":5,"text":"html"}},{"id":280388,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/807/"},{"id":280390,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/807/downloads/ds807_tables.xlsx"},{"id":280389,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/807/pdf/ds807.pdf"},{"id":280391,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds807.GIF"}],"scale":"100000","projection":"Washington State Plane North FIPS","datum":"North American Datum of 1983","country":"United States","state":"Washington","otherGeospatial":"Fornsby Creek;Snee-oosh Creek;Swinomish Indian Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.591005,48.369938 ], [ -122.591005,48.466653 ], [ -122.48269,48.466653 ], [ -122.48269,48.369938 ], [ -122.591005,48.369938 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b2c406e4b08e3289f15718","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Opatz, Chad C. 0000-0002-5272-0195 copatz@usgs.gov","orcid":"https://orcid.org/0000-0002-5272-0195","contributorId":48857,"corporation":false,"usgs":true,"family":"Opatz","given":"Chad","email":"copatz@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193776,"text":"70193776 - 2013 - Catchment-scale stormwater management via economic incentives – An overview and lessons-learned","interactions":[],"lastModifiedDate":"2017-12-19T10:47:30","indexId":"70193776","displayToPublicDate":"2013-12-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Catchment-scale stormwater management via economic incentives – An overview and lessons-learned","docAbstract":"<p>Long-term field studies of the effectiveness and sustainability of decentralized stormwater management are rare. From 2005-2011, we tested an incentive-based approach to citizen participation in stormwater management in the Shepherd Creek catchment, located in Cincinnati, OH, USA. Hydrologic, biological, and water quality data were characterized in a baseline monitoring effort 2005- 2007. Reverse auctions held successively in 2007 and 2008 engaged citizens to voluntarily bid on stormwater control measures (SCMs); and successful bids led to implementation of SCMs, which led to an enhancement of catchment detention capacity. We tested for attributes of sustainability (coconsideration of social, economic, and environmental (hydrologic, soils, aquatic biology) aspects), and summarize lessons-learned. 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,{"id":70058703,"text":"ofr20131287 - 2013 - Integrating Federal and State data records to report progress in establishing agricultural conservation practices on Chesapeake Bay farms","interactions":[],"lastModifiedDate":"2021-07-02T13:55:07.911183","indexId":"ofr20131287","displayToPublicDate":"2013-12-17T15:35:00","publicationYear":"2013","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":"2013-1287","title":"Integrating Federal and State data records to report progress in establishing agricultural conservation practices on Chesapeake Bay farms","docAbstract":"In response to the Executive Order for Chesapeake Bay Protection and Restoration (E.O. #13508, May 12, 2009), the U.S. Geological Survey (USGS) took on the task of acquiring and assessing agricultural conservation practice data records for U.S. Department of Agriculture (USDA) programs, and transferred those datasets in aggregated format to State jurisdictional agencies for use in reporting conservation progress to the Chesapeake Bay Program Partnership (CBP Partnership). Under the guidelines and regulations that have been developed to protect and restore water-quality in the Chesapeake Bay, the six State jurisdictions that fall within the Chesapeake Bay watershed are required to report their progress in promoting agricultural conservation practices to the CBP Partnership on an annual basis. The installation and adoption of agricultural best management practices is supported by technical and financial assistance from both Federal and State conservation programs. The farm enrollment data for USDA conservation programs are confidential, but agencies can obtain access to the privacy-protected data if they are established as USDA Conservation Cooperators. The datasets can also be released to the public if they are first aggregated to protect farmer privacy. In 2012, the USGS used its Conservation Cooperator status to obtain implementation data for conservation programs sponsored by the USDA Natural Resources Conservation Service (NRCS) and the USDA Farm Service Agency (FSA) for farms within the Chesapeake Bay watershed. Three jurisdictions (Delaware, Pennsylvania, and West Virginia) used the USGS-provided aggregated dataset to report conservation progress in 2012, whereas the remaining three jurisdictions (Maryland, New York, and Virginia) used jurisdictional Conservation Cooperator Agreements to obtain privacy-protected data directly from the USDA. This report reviews the status of conservation data sharing between the USDA and the various jurisdictions, discusses the methods that were used by the USGS in 2012 to collect and process USDA agricultural conservation data, and also documents methods that were used by the jurisdictions to integrate Federal and State data records, reduce double counting, and provide an accurate reporting of conservation practices to the CBP Partnership’s Annual Progress Review. 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-75.1904296875,\n              38.41916639395372\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172bfe4b0d9b3252245ec","contributors":{"authors":[{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":9391,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","affiliations":[],"preferred":false,"id":487265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devereux, Olivia H.","contributorId":97238,"corporation":false,"usgs":true,"family":"Devereux","given":"Olivia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":487267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487266,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70056038,"text":"sir20135209 - 2013 - A preliminary assessment of streamflow gains and losses for selected stream reaches in the lower Guadalupe River Basin, Texas, 2010-12","interactions":[],"lastModifiedDate":"2016-08-05T13:18:32","indexId":"sir20135209","displayToPublicDate":"2013-12-17T12:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5209","title":"A preliminary assessment of streamflow gains and losses for selected stream reaches in the lower Guadalupe River Basin, Texas, 2010-12","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers&ndash;Fort Worth District, the Texas Water Development Board, the Guadalupe-Blanco River Authority, and the Edwards Aquifer Authority, investigated streamflow gains and losses in the lower Guadalupe River Basin during four selected base-flow periods in March 2010, April 2011, August 2011, and, for a stream reach between Seguin, Tex., and Gonzales, Tex., in September 2012. Major sources of streamflow in this basin include releases from Canyon Lake, inflow from major springs (Comal Springs, San Marcos Springs, and Hueco Springs), and base flow (groundwater seeping to streams). Streamflow and spring-flow data were collected at 35 streamflow-gaging stations (including 6 deployed for this study) during the base-flow periods. This report describes streamflow in the lower Guadalupe River Basin, which consists of the Guadalupe River drainage basin downstream from Canyon Lake to the Guadalupe River near Tivoli, Tex.</p>\n<p>Streamflow conditions in the lower Guadalupe River Basin were analyzed by computing surface-water budgets for reaches of the lower Guadalupe River and tributary streams. Streamflow gains and losses were mapped for reaches where the computed gain or loss was greater than the uncertainty in the computed streamflow at the upstream and downstream ends of the reach.</p>\n<p>During the March 15&ndash;21, 2010, base-flow period, five reaches had gains greater than the uncertainty in the computed streamflow, including reach 1 on the Guadalupe River, which gained 130 cubic feet per second (ft<sup>3</sup>/s), and reach 3 on the Comal River, which gained 359 ft<sup>3</sup>/s. Streamflow gains during March 2010 primarily were derived from (1) inflow from the Edwards aquifer outcrop, including Hueco Springs and Comal Springs; (2) flow conveyed through the alluvium of the streambed; (3) inflows from the Carrizo-Wilcox aquifer and the Yegua Jackson aquifer; and (4) groundwater inflows from the Gulf Coast aquifer, which are enhanced by seepage losses from Coleto Creek Reservoir. During this base-flow period, none of the reaches had a loss greater in magnitude than the uncertainty in the computed streamflow.</p>\n<p>During the April 10&ndash;16, 2011, base-flow period, three reaches had gains greater than the uncertainty in the computed streamflow. Among these three reaches were reach 1 on the Guadalupe River, which gained 40.7 ft<sup>3</sup>/s, and reach 3 on the Comal River, which gained 271 ft<sup>3</sup>/s&mdash;reaches where streamflow gains were also measured in March 2010. Streamflow gains during April 2011 primarily were derived from (1) inflow from the Edwards aquifer outcrop, including Hueco Springs and Comal Springs; and (2) inflows from the Carrizo-Wilcox aquifer. During this base-flow period, three reaches had losses greater in magnitude than the uncertainty in the computed streamflow. A reach of the Blanco River near Kyle, Tex. (reach 10), lost 18.7 cubic feet per second (ft3/s). Much of this loss likely entered the groundwater system through the numerous faults that intersect the stream channel northwest of Kyle. The reach that included the confluence of the Guadalupe and San Marcos Rivers (reach 17) lost 155 ft<sup>3</sup>/s, likely as recharge to the Sparta and Queen City aquifers.</p>\n<p>During the August 19&ndash;25, 2011, base-flow period, three reaches had gains greater than the uncertainty in the computed streamflow, including reach 3 on the Comal River (168 ft<sup>3</sup>/s gain), which was one of the reaches where gains in streamflow also were measured in March 2010 and April 2011. Streamflow gains in August 2011 were primarily from (1) inflows from Comal Springs, (2) inflows from the Yegua Jackson aquifer, and (3) groundwater inflows from the Gulf Coast aquifer, which are enhanced by seepage losses from Coleto Creek Reservoir. During this base-flow period, five reaches had losses greater in magnitude than the uncertainty in the computed streamflow. The reach including the confluence of the Guadalupe and Comal Rivers lost 82.8 ft<sup>3</sup>/s. Much of that loss likely seeped into the local groundwater system. The reach of the Guadalupe River south of New Braunfels, Tex., to Seguin, Tex., lost 53.5 ft<sup>3</sup>/s. Part of that loss may have been from seepage through streambed alluvium. Reaches 9 and 10 of the Blanco River near Kyle lost 2.20 and 6.60 ft<sup>3</sup>/s, respectively, likely as infiltration through numerous faults intersecting the stream channel northwest of Kyle. Plum Creek between Lockhart, Tex., and Luling, Tex., lost 2.11 ft<sup>3</sup>/s, likely as recharge to the Carrizo-Wilcox aquifer. A base-flow period during September 22&ndash;28, 2012, was studied for the reach of the Guadalupe River between Seguin and Gonzalez, including flows from San Marcos River and Plum Creek. During this period, for the Guadalupe River reach between Seguin and Oak Forest, no computed gains or losses were greater in magnitude than the uncertainty in the computed streamflow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135209","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers–Fort Worth District, the Texas Water Development Board, the Guadalupe-Blanco River Authority, and the Edwards Aquifer Authority","usgsCitation":"Wehmeyer, L.L., Winters, K.E., and Ockerman, D.J., 2013, A preliminary assessment of streamflow gains and losses for selected stream reaches in the lower Guadalupe River Basin, Texas, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5209, v, 30 p., https://doi.org/10.3133/sir20135209.","productDescription":"v, 30 p.","numberOfPages":"39","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2012-12-01","ipdsId":"IP-050892","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":280374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135209.jpg"},{"id":280372,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5209/"},{"id":280373,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5209/pdf/sir2013-5209.pdf"}],"scale":"100000","datum":"North American Datum of 1983","country":"United States","state":"Texas","otherGeospatial":"Guadalupe River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.0,28.0 ], [ -100.0,30.2 ], [ -96.0,30.2 ], [ -96.0,28.0 ], [ -100.0,28.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b17262e4b0d9b325224481","contributors":{"authors":[{"text":"Wehmeyer, Loren L.","contributorId":90412,"corporation":false,"usgs":true,"family":"Wehmeyer","given":"Loren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":486301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winters, Karl E. kwinters@usgs.gov","contributorId":3554,"corporation":false,"usgs":true,"family":"Winters","given":"Karl","email":"kwinters@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":486300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486299,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70059027,"text":"fs20133118 - 2013 - Methane occurrence in groundwater of south-central New York State, 2012: Summary of findings","interactions":[],"lastModifiedDate":"2026-06-11T21:15:28.871634","indexId":"fs20133118","displayToPublicDate":"2013-12-17T11:27:00","publicationYear":"2013","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":"2013-3118","title":"Methane occurrence in groundwater of south-central New York State, 2012: Summary of findings","docAbstract":"A survey of methane in groundwater was undertaken to document methane occurrence on the basis of hydrogeologic setting within a glaciated 1,810-square-mile area of south-central New York that has not seen shale-gas resource development. The adjacent region in northeastern Pennsylvania has undergone shale-gas resource development from the Marcellus Shale.\n\nWell construction and subsurface data were required for each well sampled so that the local hydrogeologic setting could be classified. All wells were also at least 1 mile from any known gas well (active, exploratory, or abandoned). Sixty-six domestic wells and similar purposed supply wells were sampled during summer 2012. Field water-quality characteristics (pH, specific conductance, dissolved oxygen, and temperature) were measured at each well, and samples were collected and analyzed for dissolved gases, including methane and short-chain hydrocarbons. Carbon and hydrogen isotopic ratios of methane were measured in 21 samples that had at least 0.3 milligram per liter (mg/L) methane.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133118","issn":"2327-6932","usgsCitation":"Heisig, P.M., and Scott, T., 2013, Methane occurrence in groundwater of south-central New York State, 2012: summary of findings: U.S. Geological Survey Fact Sheet 2013-3118, 2 p., https://doi.org/10.3133/fs20133118.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-053308","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":505529,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99415.htm","linkFileType":{"id":5,"text":"html"}},{"id":280364,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3118"},{"id":280365,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3118/pdf/fs2013-3118.pdf"},{"id":280366,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133118.jpg"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0,41.0 ], [ -78.0,43.0 ], [ -75.0,43.0 ], [ -75.0,41.0 ], [ -78.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172c0e4b0d9b3252245f6","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487439,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058837,"text":"70058837 - 2013 - Chronic toxicity of nickel-spiked freshwater sediments: variation in toxicity among eight invertebrate taxa and eight sediments","interactions":[],"lastModifiedDate":"2016-11-04T11:11:34","indexId":"70058837","displayToPublicDate":"2013-12-17T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Chronic toxicity of nickel-spiked freshwater sediments: variation in toxicity among eight invertebrate taxa and eight sediments","docAbstract":"<p><span>This study evaluated the chronic toxicity of Ni-spiked freshwater sediments to benthic invertebrates. A 2-step spiking procedure (spiking and sediment dilution) and a 2-stage equilibration period (10 wk anaerobic and 1 wk aerobic) were used to spike 8 freshwater sediments with wide ranges of acid-volatile sulfide (AVS; 0.94–38 µmol/g) and total organic carbon (TOC; 0.42–10%). Chronic sediment toxicity tests were conducted with 8 invertebrates (</span><i>Hyalella azteca, Gammarus pseudolimnaeus</i><span>, </span><i>Chironomus riparius, Chironomus dilutus</i><span>, </span><i>Hexagenia</i><span> sp., </span><i>Lumbriculus variegatus, Tubifex tubifex</i><span>, and </span><i>Lampsilis siliquoidea</i><span>) in 2 spiked sediments. Nickel toxicity thresholds estimated from species-sensitivity distributions were 97 µg/g and 752 µg/g (total recoverable Ni; dry wt basis) for sediments with low and high concentrations of AVS and TOC, respectively. Sensitive species were tested with 6 additional sediments. The 20% effect concentrations (EC20s) for </span><i>Hyalella</i><span> and </span><i>Gammarus</i><span>, but not </span><i>Hexagenia</i><span>, were consistent with US Environmental Protection Agency benchmarks based on Ni in porewater and in simultaneously extracted metals (SEM) normalized to AVS and TOC. For </span><i>Hexagenia</i><span>, sediment EC20s increased at less than an equimolar basis with increased AVS, and toxicity occurred in several sediments with Ni concentrations in SEM less than AVS. The authors hypothesize that circulation of oxygenated water by </span><i>Hexagenia</i><span> led to oxidation of AVS in burrows, creating microenvironments with high Ni exposure. Despite these unexpected results, a strong relationship between </span><i>Hexagenia</i><span> EC20s and AVS could provide a basis for conservative site-specific sediment quality guidelines for Ni. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.2271","usgsCitation":"Besser, J.M., Brumbaugh, W.G., Ingersoll, C.G., Ivey, C.D., Kunz, J.L., Kemble, N.E., Schlekat, C.E., and Garman, E.R., 2013, Chronic toxicity of nickel-spiked freshwater sediments: variation in toxicity among eight invertebrate taxa and eight sediments: Environmental Toxicology and Chemistry, v. 32, no. 11, p. 2495-2506, https://doi.org/10.1002/etc.2271.","productDescription":"12 p.","startPage":"2495","endPage":"2506","numberOfPages":"12","ipdsId":"IP-041871","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":280355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280354,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2271"}],"volume":"32","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-05-08","publicationStatus":"PW","scienceBaseUri":"52b172bbe4b0d9b3252245d0","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlekat, Christian E.","contributorId":28519,"corporation":false,"usgs":true,"family":"Schlekat","given":"Christian","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487389,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garman, Emily R.","contributorId":19461,"corporation":false,"usgs":true,"family":"Garman","given":"Emily","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":487388,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70058836,"text":"70058836 - 2013 - Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds","interactions":[],"lastModifiedDate":"2013-12-17T09:32:07","indexId":"70058836","displayToPublicDate":"2013-12-17T09:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds","docAbstract":"Understanding the response of total suspended solids (TSS) and total phosphorus (TP) to influential weather and watershed variables is critical in the development of sediment and nutrient reduction plans. In this study, rainfall and snowmelt event loadings of TSS and TP were analyzed for eight agricultural watersheds in Wisconsin, with areas ranging from 14 to 110 km2 and having four to twelve years of data available. The data showed that a small number of rainfall and snowmelt runoff events accounted for the majority of total event loading. The largest 10% of the loading events for each watershed accounted for 73–97% of the total TSS load and 64–88% of the total TP load. More than half of the total annual TSS load was transported during a single event for each watershed at least one of the monitored years. Rainfall and snowmelt events were both influential contributors of TSS and TP loading. TSS loading contributions were greater from rainfall events at five watersheds, from snowmelt events at two watersheds, and nearly equal at one watershed. The TP loading contributions were greater from rainfall events at three watersheds, from snowmelt events at two watersheds and nearly equal at three watersheds. Stepwise multivariate regression models for TSS and TP event loadings were developed separately for rainfall and snowmelt runoff events for each individual watershed and for all watersheds combined by using a suite of precipitation, melt, temperature, seasonality, and watershed characteristics as predictors. All individual models and the combined model for rainfall events resulted in two common predictors as most influential for TSS and TP. These included rainfall depth and the antecedent baseflow. Using these two predictors alone resulted in an R<sup>2</sup> greater than 0.7 in all but three individual models and 0.61 or greater for all individual models. The combined model yielded an R<sup>2</sup> of 0.66 for TSS and 0.59 for TP. Neither the individual nor the combined models were substantially improved by using additional predictors. Snowmelt event models were statistically significant for individual and combined watershed models, but the model fits were not all as good as those for rainfall events (R<sup>2</sup> between 0.19 and 0.87). Predictor selection varied from watershed to watershed, and the common variables that were selected were not always selected in the same order. Influential variables were commonly direct measures of moisture in the watershed such as snowmelt, rainfall + snowmelt, and antecedent baseflow, or measures of potential snowmelt volume in the watershed such as air temperature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"doi":"10.1016/j.jhydrol.2013.09.038","usgsCitation":"Danz, M., Corsi, S., Brooks, W.R., and Bannerman, R.T., 2013, Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds: Journal of Hydrology, v. 507, p. 249-261, https://doi.org/10.1016/j.jhydrol.2013.09.038.","productDescription":"13 p.","startPage":"249","endPage":"261","numberOfPages":"13","ipdsId":"IP-045989","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":280353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280312,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.09.038"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.8894,42.4919 ], [ -92.8894,47.0807 ], [ -86.764,47.0807 ], [ -86.764,42.4919 ], [ -92.8894,42.4919 ] ] ] } } ] }","volume":"507","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172bae4b0d9b3252245c6","contributors":{"authors":[{"text":"Danz, Mari E. medanz@usgs.gov","contributorId":3349,"corporation":false,"usgs":true,"family":"Danz","given":"Mari E.","email":"medanz@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven","contributorId":106002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Wesley R. wrbrooks@usgs.gov","contributorId":4217,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","email":"wrbrooks@usgs.gov","middleInitial":"R.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487380,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70058768,"text":"70058768 - 2013 - Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA","interactions":[],"lastModifiedDate":"2013-12-17T09:18:34","indexId":"70058768","displayToPublicDate":"2013-12-17T09:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA","docAbstract":"Flood-deposited sediment has been used to decipher environmental parameters such as variability in watershed sediment supply, paleoflood hydrology, and channel morphology. It is not well known, however, how accurately the deposits reflect sedimentary processes within the flow, and hence what sampling intensity is needed to decipher records of recent or long-past conditions. We examine these problems using deposits from dam-regulated floods in the Colorado River corridor through Marble Canyon–Grand Canyon, Arizona, U.S.A., in which steady-peaked floods represent a simple end-member case. For these simple floods, most deposits show inverse grading that reflects coarsening suspended sediment (a result of fine-sediment-supply limitation), but there is enough eddy-scale variability that some profiles show normal grading that did not reflect grain-size evolution in the flow as a whole. To infer systemwide grain-size evolution in modern or ancient depositional systems requires sampling enough deposit profiles that the standard error of the mean of grain-size-change measurements becomes small relative to the magnitude of observed changes. For simple, steady-peaked floods, 5–10 profiles or fewer may suffice to characterize grain-size trends robustly, but many more samples may be needed from deposits with greater variability in their grain-size evolution.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sedimentary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/jsr.2013.79","usgsCitation":"Draut, A., and Rubin, D.M., 2013, Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA: Journal of Sedimentary Research, v. 83, no. 11, p. 962-973, https://doi.org/10.2110/jsr.2013.79.","productDescription":"12 p.","startPage":"962","endPage":"973","numberOfPages":"12","ipdsId":"IP-051517","costCenters":[],"links":[{"id":280352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/jsr.2013.79"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,32.49 ], [ -114.82,40.43 ], [ -105.82,40.43 ], [ -105.82,32.49 ], [ -114.82,32.49 ] ] ] } } ] }","volume":"83","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"52b172b8e4b0d9b3252245bc","contributors":{"authors":[{"text":"Draut, Amy","contributorId":18792,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","affiliations":[],"preferred":false,"id":487368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":487367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70055672,"text":"sir20135035 - 2013 - Erosional and depositional changes wrought by the flood of May 1978 in the channels of Powder River, southeastern Montana","interactions":[],"lastModifiedDate":"2013-12-17T08:42:46","indexId":"sir20135035","displayToPublicDate":"2013-12-17T08:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5035","title":"Erosional and depositional changes wrought by the flood of May 1978 in the channels of Powder River, southeastern Montana","docAbstract":"Powder River’s second largest flood of record (1919–2012) moved through northeastern Wyoming and southeastern Montana during May 1978. Within a ninety-kilometer reach of the channel in southeastern Montana, the most prominent planform effects of the flood were the growth of meander bends by bank erosion (this was most intense just downriver of bend apexes, causing 1–2 channel widths of lateral displacement) and the erosion of new cutoff channels through the necks of two large and two small meanders. Surveys of cross sections, made before and after the flood, show the responses of the channel to the flood waters, which ranged from minimal (bedrock control) to large (maximum channel curvature in unconsolidated bank and terrace deposits). Geomorphic work done during two weeks of extreme flooding in May 1978, as measured by cross-channel erosion and new sediment deposition, was approximately equal in magnitude to the work done during the two decades (1978–1998) that followed the flood.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135035","usgsCitation":"Meade, R.H., and Moody, J.A., 2013, Erosional and depositional changes wrought by the flood of May 1978 in the channels of Powder River, southeastern Montana: U.S. Geological Survey Scientific Investigations Report 2013-5035, Report: iv, 29 p.; Map: 46.0 x 42.0 inches, https://doi.org/10.3133/sir20135035.","productDescription":"Report: iv, 29 p.; Map: 46.0 x 42.0 inches","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-032505","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true}],"links":[{"id":280350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135035.gif"},{"id":280348,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5035/pdf/sir2013-5035.pdf"},{"id":280349,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5035/pdf/sir2013_plate1.pdf"},{"id":280347,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5035/"}],"scale":"20570","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Montana","county":"Powder River County","otherGeospatial":"Powder River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.999321,44.993622 ], [ -105.999321,45.501641 ], [ -105.24974,45.501641 ], [ -105.24974,44.993622 ], [ -105.999321,44.993622 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172bee4b0d9b3252245e5","contributors":{"authors":[{"text":"Meade, Robert H. 0000-0002-4965-3040 rhmeade@usgs.gov","orcid":"https://orcid.org/0000-0002-4965-3040","contributorId":2744,"corporation":false,"usgs":true,"family":"Meade","given":"Robert","email":"rhmeade@usgs.gov","middleInitial":"H.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":486199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","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":486198,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70049030,"text":"sir20135190 - 2013 - Occurrence of methane in groundwater of south-central New York State, 2012-systematic evaluation of a glaciated region by hydrogeologic setting","interactions":[],"lastModifiedDate":"2013-12-16T13:35:48","indexId":"sir20135190","displayToPublicDate":"2013-12-17T08:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5190","title":"Occurrence of methane in groundwater of south-central New York State, 2012-systematic evaluation of a glaciated region by hydrogeologic setting","docAbstract":"A survey of methane in groundwater was undertaken to document methane occurrence on the basis hydrogeologic setting within a glaciated 1,810-square-mile area of south-central New York along the Pennsylvania border. Sixty-six wells were sampled during the summer of 2012. All wells were at least 1 mile from any known gas well (active, exploratory, or abandoned). Results indicate strong positive and negative associations between hydrogeologic settings and methane occurrence. The hydrogeologic setting classes are based on topographic position (valley and upland), confinement or non-confinement of groundwater by glacial deposits, well completion in fractured bedrock or sand and gravel, and hydrogeologic subcategories. Only domestic wells and similar purposed supply wells with well-construction and log information were selected for classification. Field water-quality characteristics (pH, specific conductance, dissolved oxygen, and temperature) were measured at each well, and samples were collected and analyzed for dissolved gases, including methane and short-chain hydrocarbons. Carbon and hydrogen isotopic ratios of methane were measured in 21 samples that had at least 0.3 milligram per liter (mg/L) of methane.\n\nResults of sampling indicate that occurrence of methane in groundwater of the region is common—greater than or equal to 0.001 mg/L in 78 percent of the groundwater samples. Concentrations of methane ranged over five orders of magnitude. Methane concentrations at which monitoring or mitigation are indicated (greater than or equal to 10 mg/L) were measured in 15 percent of the samples. Methane concentrations greater than 0.1 mg/L were associated with specific hydrogeologic settings. Wells completed in bedrock within valleys and under confined groundwater conditions were most closely associated with the highest methane concentrations. Fifty-seven percent of valley wells had greater than or equal to 0.1 mg/L of methane, whereas only 10 percent of upland wells equaled or exceeded that concentration. Isotopic signatures differed between these groups as well. Methane in valley wells was predominantly thermogenic in origin, likely as a result of close vertical proximity to underlying methane-bearing saline groundwater and brine and possibly as a result of enhanced bedrock fracture permeability beneath valleys that provides an avenue for upward gas migration. Isotopic signatures of methane from four upland well samples indicated a microbial origin (carbon-dioxide reduction) with one sample possibly altered by microbial methane oxidation. Water samples from wells in a valley setting that indicate a mix of thermogenic and microbial methane reflect the close proximity of regional groundwater flow and underlying saline water and brine in valley areas. The microbial methane is likely produced by bacteria that utilize carbon dioxide or formational organic matter in highly reducing environments within the subregional groundwater flow system. This characterization of groundwater methane shows the importance of subsurface information (hydrogeology, well construction) in understanding methane occurrence and provides an initial conceptual framework that can be utilized in investigation of stray gas in south-central New York.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135190","usgsCitation":"Heisig, P.M., and Scott, T., 2013, Occurrence of methane in groundwater of south-central New York State, 2012-systematic evaluation of a glaciated region by hydrogeologic setting: U.S. Geological Survey Scientific Investigations Report 2013-5190, Report: vii, 32 p.; 4 Appendices: XLS files, https://doi.org/10.3133/sir20135190.","productDescription":"Report: vii, 32 p.; 4 Appendices: XLS files","numberOfPages":"44","additionalOnlineFiles":"Y","ipdsId":"IP-049514","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":280331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135190.jpg"},{"id":280328,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5190/pdf/sir2013-5190.pdf"},{"id":280330,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5190/appendix/sir2013-5190_heisig_apend01-04.xlsx"},{"id":280329,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5190/"}],"projection":"Universal Transverse Mercator, Zone 18","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.4125,42.0025 ], [ -77.4125,42.4601 ], [ -75.3196,42.4601 ], [ -75.3196,42.0025 ], [ -77.4125,42.0025 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172c0e4b0d9b3252245fd","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486053,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058838,"text":"70058838 - 2013 - Assaying environmental nickel toxicity using model nematodes","interactions":[],"lastModifiedDate":"2016-10-13T11:23:09","indexId":"70058838","displayToPublicDate":"2013-12-16T15:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Assaying environmental nickel toxicity using model nematodes","docAbstract":"<p><span>Although nickel exposure results in allergic reactions, respiratory conditions, and cancer in humans and rodents, the ramifications of excess nickel in the environment for animal and human health remain largely undescribed. Nickel and other cationic metals travel through waterways and bind to soils and sediments. To evaluate the potential toxic effects of nickel at environmental contaminant levels (8.9-7,600 µg Ni/g dry weight of sediment and 50-800 µg NiCl</span><sub>2</sub><span>/L of water), we conducted assays using two cosmopolitan nematodes, </span><i>Caenorhabditis elegans</i><span> and </span><i>Pristionchus pacificus</i><span>. We assayed the effects of both sediment-bound and aqueous nickel upon animal growth, developmental survival, lifespan, and fecundity. Uncontaminated sediments were collected from sites in the Midwestern United States and spiked with a range of nickel concentrations. We found that nickel-spiked sediment substantially impairs both survival from larval to adult stages and adult longevity in a concentration-dependent manner. Further, while aqueous nickel showed no adverse effects on either survivorship or longevity, we observed a significant decrease in fecundity, indicating that aqueous nickel could have a negative impact on nematode physiology. Intriguingly, </span><i>C. elegans</i><span>and </span><i>P. pacificus</i><span> exhibit similar, but not identical, responses to nickel exposure. Moreover, </span><i>P. pacificus</i><span> could be tested successfully in sediments inhospitable to </span><i>C. elegans</i><span>. Our results add to a growing body of literature documenting the impact of nickel on animal physiology, and suggest that environmental toxicological studies could gain an advantage by widening their repertoire of nematode species.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0077079","usgsCitation":"Rudel, D., Douglas, C., Huffnagle, I., Besser, J.M., and Ingersoll, C.G., 2013, Assaying environmental nickel toxicity using model nematodes: PLoS ONE, v. 8, no. 10, e77079; 17 p., https://doi.org/10.1371/journal.pone.0077079.","productDescription":"e77079; 17 p.","numberOfPages":"17","ipdsId":"IP-042421","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0077079","text":"Publisher Index Page"},{"id":280342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280340,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0077079"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.09,36.70 ], [ -94.09,48.02 ], [ -82.00,48.02 ], [ -82.00,36.70 ], [ -94.09,36.70 ] ] ] } } ] }","volume":"8","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"52b020dee4b0242fceec847e","contributors":{"authors":[{"text":"Rudel, David","contributorId":12181,"corporation":false,"usgs":true,"family":"Rudel","given":"David","email":"","affiliations":[],"preferred":false,"id":487392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, Chandler","contributorId":27777,"corporation":false,"usgs":true,"family":"Douglas","given":"Chandler","email":"","affiliations":[],"preferred":false,"id":487393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huffnagle, Ian","contributorId":53279,"corporation":false,"usgs":true,"family":"Huffnagle","given":"Ian","email":"","affiliations":[],"preferred":false,"id":487394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487390,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70049017,"text":"sir20135181 - 2013 - Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake","interactions":[],"lastModifiedDate":"2018-02-06T12:17:35","indexId":"sir20135181","displayToPublicDate":"2013-12-16T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5181","title":"Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake","docAbstract":"<p>Shell Lake is a relatively shallow terminal lake (tributaries but no outlets) in northwestern Wisconsin that has experienced approximately 10 feet (ft) of water-level fluctuation over more than 70 years of record and extensive flooding of nearshore areas starting in the early 2000s. The City of Shell Lake (City) received a permit from the Wisconsin Department of Natural Resources in 2002 to divert water from the lake to a nearby river in order to lower water levels and reduce flooding. Previous studies suggested that water-level fluctuations were driven by long-term cycles in precipitation, evaporation, and runoff, although questions about the lake&rsquo;s connection with the groundwater system remained. The permit required that the City evaluate assumptions about lake/groundwater interactions made in previous studies and evaluate the effects of the water diversion on water levels in Shell Lake and other nearby lakes. Therefore, a cooperative study between the City and U.S. Geological Survey (USGS) was initiated to improve the understanding of the hydrogeology of the area and evaluate potential effects of the diversion on water levels in Shell Lake, the surrounding groundwater system, and nearby lakes. Concerns over deteriorating water quality in the lake, possibly associated with changes in water level, prompted an additional cooperative project between the City and the USGS to evaluate efeffects of changes in nutrient loading associated with changes in water levels on the water quality of Shell Lake. Numerical models were used to evaluate how the hydrology and water quality responded to diversion of water from the lake and historical changes in the watershed. The groundwater-flow model MODFLOW was used to simulate groundwater movement in the area around Shell Lake, including groundwater/surface-water interactions. Simulated results from the MODFLOW model indicate that groundwater flows generally northward in the area around Shell Lake, with flow locally converging toward the lake. Total groundwater inflow to Shell Lake is small (approximately 5 percent of the water budget) compared with water entering the lake from precipitation (83 percent) and surface-water runoff (13 percent). The MODFLOW model also was used to simulate average annual hydrologic conditions from 1949 to 2009, including effects of the removal of 3 billion gallons of water during 2003&ndash;5. The maximum decline in simulated average annual water levels for Shell Lake due to the diversion alone was 3.3 ft at the end of the diversion process in 2005. Model simulations also indicate that although water level continued to decline through 2009 in response to local weather patterns (local drought), the effects of the diversion decreased after the diversion ceased; that is, after 4 years of recovery (2006&ndash;9), drawdown attributable to the diversion alone decreased by about 0.6 ft because of increased groundwater inflow and decreased lake-water outflow to groundwater caused by the artificially lower lake level. A delayed response in drawdown of less than 0.5 ft was transmitted through the groundwater-flow system to upgradient lakes. This relatively small effect on upgradient lakes is attributed in part to extensive layers of shallow clay that limit lake/groundwater interaction in the area. Data collected in the lake indicated that Shell Lake is polymictic (characterized by frequent deep mixing) and that its productivity is limited by the amount of phosphorus in the lake. The lake was typically classified as oligotrophic-mesotrophic in June, mesotrophic in July, and mesotrophic-eutrophic in August. In polymictic lakes like Shell Lake, phosphorus released from the sediments is not trapped near the bottom of the lake but is intermittently released to the shallow water, resulting in deteriorating water quality as summer progresses. Because the productivity of Shell Lake is limited by phosphorus, the sources of phosphorus to the lake were quantified, and the response in water quality to changes in phosphorus inputs were evaluated by means of eutrophication models. During 2009, the total input of phosphorus to Shell Lake was 1,730 pounds (lb), of which 1,320 lb came from external sources (76 percent) and 414 lb came from internal loading from sediments in the lake (24 percent). The largest external source was from surface-water runoff, which delivered about 52 percent of the total phosphorus load compared with about 13 percent of the water input. The second largest source was from precipitation (wetfall and dryfall), which delivered 19 percent of the load compared to about 83 percent of the water input. Contributions from septic systems and groundwater accounted for about 3 and 2 percent, respectively. Increased runoff raises water levels in the lake but does not necessarily increase phosphorus loading because phosphorus concentrations in the tributaries decline during increased flow, possibly because of shorter retention times in upstream wetlands. Phosphorus loading to the lake in 2009 represented what occurred after a series of dry years; therefore, this information was combined with data from 2011, a wet year, to estimate phosphorus loading during a range of hydrologic conditions by estimating loading from each component of the phosphorus budget for each year from 1949 to 2011. Comparisons of historical water-quality records with historical water levels and applications of a hydrodynamic model (Dynamic Lake Model, DLM) and empirical eutrophication models were used to understand how changes in water level and the coinciding changes in phosphorus loading affect the water quality of Shell Lake. DLM simulations indicate that large changes in water level (approximately 10 ft) affect the persistence of stratification in the lake. During periods with low water levels, the lake is a well-mixed, polymictic system, with water quality degrading slightly as summer progresses. During periods with high water levels, the lake is more stratified, and phosphorus from internal loading is trapped in the hypolimnion and released later in summer, which results in more extreme seasonality in water quality and better clarity in early summer. Results of eutrophication model simulations using a range in external phosphorus inputs illustrate how water quality in Shell Lake (phosphorus and chlorophyll a concentrations and Secchi depths) responds to changes in external phosphorus loading. Results indicate that a 50-percent reduction in external loading from that measured in 2009 would be required to change phosphorus concentrations from 0.018 milligram per liter (mg/L) (measured in 2009) to 0.012 mg/L (estimated for the mid-1800s from analysis of diatoms in sediment cores). Such reductions in phosphorus loading cannot be accomplished by targeting septic systems or internal loading alone because septic systems contribute only about 3 percent of the phosphorus input to the lake, and internal loading from the sediments of Shell Lake contributes only about 25 percent of phosphorus input. Complete elimination of phosphorus from septic systems and internal loading would decrease the phosphorus concentrations in the lake by 0.003&ndash;0.004 mg/L. Therefore, reducing phosphorus concentration in the lake more than by 0.004 mg/L requires decreasing phosphorus loading from surface-water contributions, primarily runoff to the lake. Reconstructed changes in water quality from 1860 to 2010, based on changes in the diatom communities archived in the sediments and eutrophication model simulations, suggest that anthropogenic changes in the watershed (sawmill construction in 1881; the establishment of the village of Shell Lake; and land-use changes in the 1920s, including increased agriculture) had a much larger effect on water quality than the natural changes associated with fluctuations in water level. Although the effects of natural changes in water level on water quality appear to be small, changes in water level do have a modest effect on water quality, primarily manifested as small improvements during higher water levels. Fluctuations in water level, however, have a larger effect on the seasonality of water-quality patterns, with better water quality, especially increased Secchi depths, in early summer during years with high water levels.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135181","collaboration":"In cooperation with the City of Shell Lake, Wisconsin","usgsCitation":"Juckem, P.F., and Robertson, D.M., 2013, Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake: U.S. Geological Survey Scientific Investigations Report 2013-5181, Report: x, 77 p.; Appendix 1: PDF file; Appendix 2: PDF file, https://doi.org/10.3133/sir20135181.","productDescription":"Report: x, 77 p.; Appendix 1: PDF file; Appendix 2: PDF file","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045912","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":280323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135181.jpg"},{"id":280321,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181_appendix1.pdf"},{"id":280322,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181_appendix2.pdf"},{"id":280320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181.pdf"},{"id":280319,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5181/"}],"country":"United States","state":"Wisconsin","county":"Washburn County","otherGeospatial":"Shell Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.94286346435547,\n              45.75506798173109\n            ],\n            [\n              -91.86355590820312,\n              45.75530752680575\n            ],\n            [\n              -91.86424255371094,\n              45.70881653205482\n            ],\n            [\n              -91.89960479736327,\n              45.7066587939899\n            ],\n            [\n              -91.9068145751953,\n              45.70929601809127\n            ],\n            [\n              -91.94252014160156,\n              45.70953575956707\n            ],\n            [\n              -91.94286346435547,\n              45.75506798173109\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b0211fe4b0242fceec8584","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70049012,"text":"sir20135183 - 2013 - Assessment of water-quality data from Long Lake National Wildlife Refuge, North Dakota--2008 through 2012","interactions":[],"lastModifiedDate":"2013-12-16T11:05:29","indexId":"sir20135183","displayToPublicDate":"2013-12-16T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5183","title":"Assessment of water-quality data from Long Lake National Wildlife Refuge, North Dakota--2008 through 2012","docAbstract":"ong Lake National Wildlife Refuge, located in south-central North Dakota, is an important habitat for numerous migratory birds and waterfowl, including several threatened or endangered species. The refuge is distinguished by Long Lake, which is approximately 65 square kilometers and consists of four primary water management units. Water levels in the Long Lake units are maintained by low-level dikes and water-control structures, which after construction during the 1930s increased the water-storage capacity of Long Lake and reduced the frequency and volume of flushing flows downstream. The altered water regime, along with the negative precipitation:evaporation ratio of the region, may be contributing to the accumulation of water-borne chemical constituents such as salts, trace metals, and other constituents, which at certain threshold concentrations may impair aquatic plant, invertebrate, and bird communities of the refuge. The refuge’s comprehensive conservation planning process identified the need for water-quality monitoring to assess current (2013) conditions, establish comparative baselines, evaluate changes over time (trends), and support adaptive management of the wetland units. In 2008, the U.S. Geological Survey, U.S. Fish and Wildlife Service, and North Dakota Department of Health began a water-quality monitoring program at Long Lake National Wildlife Refuge to address these needs. Biweekly water-quality samples were collected for ions, trace metals, and nutrients; and in situ sensors and data loggers were installed for the continuous measurement of specific conductance and water depth.\n\nLong Lake was characterized primarily by sodium, bicarbonate, and sulfate ions. Overall results for total alkalinity and hardness were 580 and 329 milligrams per liter, respectively; thus, Long Lake is considered alkaline and classified as very hard. The mean pH and sodium adsorption ratio for Long Lake were 8.8 and 10, respectively. Total dissolved solids concentrations averaged approximately 1,750 milligrams per liter, and ranged from 117 to 39,700 milligrams per liter. Twelve of the 14 trace metals detected in the water samples had established North Dakota water-quality standards for aquatic life, and only aluminum and copper consistently exceeded these criteria. Aluminum is considered harmful to aquatic biota in acidic (pH less than 5.5) systems and most of the copper standard exceedances were collected from highly concentrated waters because of evaporation and seasonally low water levels. Concentrations for various forms of nitrogen and phosphorus generally were similar to reported regional values.\n\nSpecific conductance of Long Lake varied seasonally and annually both within and among management units, with values ranging from less than 500 to nearly 40,000 microsiemens per centimeter at 25 degrees Celsius. Long Lake was characterized by consistent seasonal patterns of increasing specific conductance from spring (March and April) to fall (September and October), with levels stabilizing through the end of the sampling season (November). These seasonal patterns in specific conductance were associated with decreasing water levels throughout the summer due primarily to evaporation and continuous water releases through the Unit 1 outlet structure, which resulted in the concentration of salts. Specific conductance of each unit, along with water levels, also varied among years. Overall, specific conductance levels were greatest during the drier year of 2008 when water levels were low. Specific conductance levels were lowest during the spring of 2009 following above-average volumes of fresh water from snowmelt runoff. Comparisons of specific conductance among sample sites that were spatially distributed within each management unit suggested that spatial variability within units was low except for areas associated with local inflows.\n\nData collected during this study revealed consistent seasonal patterns and low within-unit spatial variability of specific conductance. Based on these data results, future sample collection efforts may be reduced, as well as the number of sample locations, to limit sampling costs. Water-quality samples collected monthly or seasonally during the growing season (spring, summer, and fall) from a single representative location within each water-management unit should provide sufficient data to assess seasonal changes in water-quality over time and provide information for Long Lake management decisions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135183","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and North Dakota Department of Health","usgsCitation":"Tangen, B., Finocchiaro, R.G., Gleason, R.A., Rabenberg, M.J., Dahl, C.F., and Ell, M., 2013, Assessment of water-quality data from Long Lake National Wildlife Refuge, North Dakota--2008 through 2012: U.S. Geological Survey Scientific Investigations Report 2013-5183, Report: vi, 27 p.; Appendix 1: XLSX file; Appendix 2: XLSX file, https://doi.org/10.3133/sir20135183.","productDescription":"Report: vi, 27 p.; Appendix 1: XLSX file; Appendix 2: XLSX file","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045659","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":280315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135183.jpg"},{"id":280316,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5183/"},{"id":280317,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5183/pdf/sir2013-5183.pdf"},{"id":280318,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5183/downloads/"}],"projection":"Universal Transverse Mercator, zone 13N","datum":"North American Datum of 1983","country":"United States","state":"North Dakota","otherGeospatial":"Long Lake National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.327148,46.658156 ], [ -100.327148,46.773731 ], [ -99.983482,46.773731 ], [ -99.983482,46.658156 ], [ -100.327148,46.658156 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b0211ee4b0242fceec8576","contributors":{"authors":[{"text":"Tangen, Brian A. 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":467,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":486015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finocchiaro, Raymond G. rfinocchiaro@usgs.gov","contributorId":3673,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","middleInitial":"G.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":486017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":486016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rabenberg, Michael J.","contributorId":47278,"corporation":false,"usgs":true,"family":"Rabenberg","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dahl, Charles F. cdahl@usgs.gov","contributorId":4052,"corporation":false,"usgs":true,"family":"Dahl","given":"Charles","email":"cdahl@usgs.gov","middleInitial":"F.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":486018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ell, Mike J.","contributorId":101175,"corporation":false,"usgs":true,"family":"Ell","given":"Mike J.","affiliations":[],"preferred":false,"id":486020,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70168902,"text":"70168902 - 2013 - Detectability of thermal signatures associated with active formation of ‘chaos terrain’ on Europa","interactions":[],"lastModifiedDate":"2016-03-07T16:02:36","indexId":"70168902","displayToPublicDate":"2013-12-15T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Detectability of thermal signatures associated with active formation of ‘chaos terrain’ on Europa","docAbstract":"<p>A recent study by Schmidt et al. (2011) suggests that Thera Macula, one of the &ldquo;chaos regions&rdquo; on Europa, may be actively forming over a large liquid water lens. Such a process could conceivably produce a thermal anomaly detectable by a future Europa orbiter or flyby mission, allowing for a direct verification of this finding. Here, we present a set of models that quantitatively assess the surface and subsurface temperatures associated with an actively resurfacing chaos region using constraints from Thera Macula. The results of this numerical study suggest that the surface temperature over an active chaos region can be as high as &sim;200 K. However, low-resolution Galileo Photo-Polarimeter Radiometer (PPR) observations indicate temperatures below 120 K over Thera Macula. This suggests that Thera Macula is not currently active unless an insulating layer of at least a few centimeters in thickness is present, or activity is confined to small regions, reducing the overall intensity of the thermal signature. Alternatively, Thera may have been cooling for at least 10&ndash;100 yr and still contain a subsurface lake, which can take &sim;300,000 yr to crystallize. According to the present study, a more sensitive instrument capable of detecting anomalies &sim;5 K above ambient could detect activity at Thera Macula even if an insulating layer of &sim;50 cm is present.</p>\n<p>&nbsp;</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.epsl.2013.09.027","usgsCitation":"Abramov, O., Rathbun, J., Schmidt, B.E., and Spencer, J.R., 2013, Detectability of thermal signatures associated with active formation of ‘chaos terrain’ on Europa: Earth and Planetary Science Letters, v. 384, p. 37-41, https://doi.org/10.1016/j.epsl.2013.09.027.","productDescription":"5 p.","startPage":"37","endPage":"41","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042686","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":318669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europa","volume":"384","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56deb441e4b015c306fb89b8","contributors":{"authors":[{"text":"Abramov, Oleg oabramov@usgs.gov","contributorId":604,"corporation":false,"usgs":true,"family":"Abramov","given":"Oleg","email":"oabramov@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":622102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rathbun, J.","contributorId":9814,"corporation":false,"usgs":true,"family":"Rathbun","given":"J.","affiliations":[],"preferred":false,"id":622103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Britney E.","contributorId":167380,"corporation":false,"usgs":false,"family":"Schmidt","given":"Britney","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":622104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, John R.","contributorId":167381,"corporation":false,"usgs":false,"family":"Spencer","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":622105,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118560,"text":"70118560 - 2013 - Hydration free energies of cyanide and hydroxide ions from molecular dynamics simulations with accurate force fields","interactions":[],"lastModifiedDate":"2014-07-29T11:46:54","indexId":"70118560","displayToPublicDate":"2013-12-14T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3058,"text":"Physical Chemistry Chemical Physics","active":true,"publicationSubtype":{"id":10}},"title":"Hydration free energies of cyanide and hydroxide ions from molecular dynamics simulations with accurate force fields","docAbstract":"The evaluation of hydration free energies is a sensitive test to assess force fields used in atomistic simulations. We showed recently that the vibrational relaxation times, 1D- and 2D-infrared spectroscopies for CN(-) in water can be quantitatively described from molecular dynamics (MD) simulations with multipolar force fields and slightly enlarged van der Waals radii for the C- and N-atoms. To validate such an approach, the present work investigates the solvation free energy of cyanide in water using MD simulations with accurate multipolar electrostatics. It is found that larger van der Waals radii are indeed necessary to obtain results close to the experimental values when a multipolar force field is used. For CN(-), the van der Waals ranges refined in our previous work yield hydration free energy between -72.0 and -77.2 kcal mol(-1), which is in excellent agreement with the experimental data. In addition to the cyanide ion, we also study the hydroxide ion to show that the method used here is readily applicable to similar systems. Hydration free energies are found to sensitively depend on the intermolecular interactions, while bonded interactions are less important, as expected. We also investigate in the present work the possibility of applying the multipolar force field in scoring trajectories generated using computationally inexpensive methods, which should be useful in broader parametrization studies with reduced computational resources, as scoring is much faster than the generation of the trajectories.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Physical Chemistry Chemical Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society of Chemistry","publisherLocation":"Cambridge","doi":"10.1039/c3cp52713a","usgsCitation":"Lee, M.W., and Meuwly, M., 2013, Hydration free energies of cyanide and hydroxide ions from molecular dynamics simulations with accurate force fields: Physical Chemistry Chemical Physics, v. 15, no. 46, p. 20303-20312, https://doi.org/10.1039/c3cp52713a.","productDescription":"10 p.","startPage":"20303","endPage":"20312","numberOfPages":"10","costCenters":[],"links":[{"id":291295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291294,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/c3cp52713a"}],"volume":"15","issue":"46","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f1e7e4b0bc0bec0a008c","contributors":{"authors":[{"text":"Lee, Myung W.","contributorId":84358,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","middleInitial":"W.","affiliations":[],"preferred":false,"id":497016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meuwly, M.","contributorId":79030,"corporation":false,"usgs":true,"family":"Meuwly","given":"M.","affiliations":[],"preferred":false,"id":497015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70056023,"text":"ofr20131277 - 2013 - Transient simulation of groundwater levels within a sandbar of the Colorado River, Marble Canyon, Arizona, 2004","interactions":[],"lastModifiedDate":"2013-12-13T11:20:31","indexId":"ofr20131277","displayToPublicDate":"2013-12-13T11:14:00","publicationYear":"2013","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":"2013-1277","title":"Transient simulation of groundwater levels within a sandbar of the Colorado River, Marble Canyon, Arizona, 2004","docAbstract":"Seepage erosion and mass failure of emergent sandy deposits along the Colorado River in Grand Canyon National Park, Arizona, are a function of the elevation of groundwater in the sandbar, fluctuations in river stage, the exfiltration of water from the bar face, and the slope of the bar face. In this study, a generalized three-dimensional numerical model was developed to predict the time-varying groundwater level, within the bar face region of a freshly deposited eddy sandbar, as a function of river stage. Model verification from two transient simulations demonstrates the ability of the model to predict groundwater levels within the onshore portion of the sandbar face across a range of conditions. Use of this generalized model is applicable across a range of typical eddy sandbar deposits in diverse settings. The ability to predict the groundwater level at the onshore end of the sandbar face is essential for both physical and numerical modeling efforts focusing on the erosion and mass failure of eddy sandbars downstream of Glen Canyon Dam along the Colorado River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131277","issn":"2331-1258","usgsCitation":"Sabol, T., and Springer, A., 2013, Transient simulation of groundwater levels within a sandbar of the Colorado River, Marble Canyon, Arizona, 2004: U.S. Geological Survey Open-File Report 2013-1277, v, 22 p., https://doi.org/10.3133/ofr20131277.","productDescription":"v, 22 p.","numberOfPages":"27","onlineOnly":"Y","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","ipdsId":"IP-037273","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":280293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131277.jpg"},{"id":280291,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1277/"},{"id":280292,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1277/pdf/ofr2013-1277.pdf"}],"datum":"North American Datum of 1983","country":"United States","state":"Arizona","otherGeospatial":"Marble Canyon;Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,35.5 ], [ -114.5,37.5 ], [ -111.0,37.5 ], [ -111.0,35.5 ], [ -114.5,35.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52ac2c8fe4b004a77d23c4cd","contributors":{"authors":[{"text":"Sabol, Thomas A.","contributorId":67186,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas A.","affiliations":[],"preferred":false,"id":486294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Abraham E.","contributorId":9558,"corporation":false,"usgs":true,"family":"Springer","given":"Abraham E.","affiliations":[],"preferred":false,"id":486293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058743,"text":"70058743 - 2013 - Functional diversity supports the physiological tolerance hypothesis for plant species richness along climatic gradients","interactions":[],"lastModifiedDate":"2014-02-24T10:53:43","indexId":"70058743","displayToPublicDate":"2013-12-12T13:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Functional diversity supports the physiological tolerance hypothesis for plant species richness along climatic gradients","docAbstract":"1.  The physiological tolerance hypothesis proposes that plant species richness is highest in warm and/or wet climates because a wider range of functional strategies can persist under such conditions. Functional diversity metrics, combined with statistical modeling, offer new ways to test whether diversity-environment relationships are consistent with this hypothesis.\n\n2.  In a classic study by R. H. Whittaker (1960), herb species richness declined from mesic (cool, moist, northerly) slopes to xeric (hot, dry, southerly) slopes. Building on this dataset, we measured four plant functional traits (plant height, specific leaf area, leaf water content and foliar C:N) and used them to calculate three functional diversity metrics (functional richness, evenness, and dispersion). We then used a structural equation model to ask if ‘functional diversity’ (modeled as the joint responses of richness, evenness, and dispersion) could explain the observed relationship of topographic climate gradients to species richness. We then repeated our model examining the functional diversity of each of the four traits individually.\n\n3.  Consistent with the physiological tolerance hypothesis, we found that functional diversity was higher in more favorable climatic conditions (mesic slopes), and that multivariate functional diversity mediated the relationship of the topographic climate gradient to plant species richness. We found similar patterns for models focusing on individual trait functional diversity of leaf water content and foliar C:N.\n\n4.  Synthesis. Our results provide trait-based support for the physiological tolerance hypothesis, suggesting that benign climates support more species because they allow for a wider range of functional strategies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.12204","usgsCitation":"Spasojevic, M.J., Grace, J.B., Harrison, S., and Damschen, E.I., 2013, Functional diversity supports the physiological tolerance hypothesis for plant species richness along climatic gradients: Journal of Ecology, v. 102, no. 2, p. 447-455, https://doi.org/10.1111/1365-2745.12204.","productDescription":"9 p.","startPage":"447","endPage":"455","numberOfPages":"9","ipdsId":"IP-052487","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473401,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12204","text":"Publisher Index Page"},{"id":280300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280290,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12204/pdf"},{"id":280289,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2745.12204"}],"country":"United States","state":"Oregon","otherGeospatial":"Siskiyou Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.1625,41.0073 ], [ -123.1625,42.2873 ], [ -121.8825,42.2873 ], [ -121.8825,41.0073 ], [ -123.1625,41.0073 ] ] ] } } ] }","volume":"102","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-01-08","publicationStatus":"PW","scienceBaseUri":"53cd5a5ae4b0b290850f94b4","contributors":{"authors":[{"text":"Spasojevic, Marko J.","contributorId":66582,"corporation":false,"usgs":true,"family":"Spasojevic","given":"Marko","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":487330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrison, Susan","contributorId":85707,"corporation":false,"usgs":true,"family":"Harrison","given":"Susan","affiliations":[],"preferred":false,"id":487333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Damschen, Ellen Ingman","contributorId":6177,"corporation":false,"usgs":false,"family":"Damschen","given":"Ellen","email":"","middleInitial":"Ingman","affiliations":[{"id":16916,"text":"Dept. of Zoology, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":487331,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70058706,"text":"70058706 - 2013 - Effects of summer drawdown on the fishes and larval chironomids in Beulah Reservoir, Oregon","interactions":[],"lastModifiedDate":"2013-12-12T09:41:24","indexId":"70058706","displayToPublicDate":"2013-12-12T09:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of summer drawdown on the fishes and larval chironomids in Beulah Reservoir, Oregon","docAbstract":"Summer drawdown of Beulah Reservoir, Oregon, could adversely affect fish and invertebrate production, limit sport fishing opportunities, and hinder the recovery of threatened species. To assess the impacts of drawdown, we sampled fish and Chironomidae larvae in Beulah Reservoir in the springs of 2006 to 2008. The reservoir was reduced to 68% of full pool in 2006 and to run-of-river level in 2007. From spring 2006 to spring 2007, the catch per unit effort (CPUE) of fyke nets decreased significantly for dace [Rhinichthys spp.] and northern pikeminnow [Ptychocheilus oregonensis], increased significantly for suckers [Catastomus spp.] and white crappies [Pomoxis nigromaculatus], and was similar for redside shiners [Richardsonius balteatus]. CPUE of gillnets either increased significantly or remained similar depending on genera, and the size structure of redside shiners, suckers, and white crappies changed appreciably. From 2007 to 2008, the CPUE of northern pikeminnow, redside shiners, suckers, and white crappies decreased significantly depending on gear and the size structure of most fishes changed. Springtime densities of chironomid larvae in the water column were significantly higher in 2006 than in 2008, but other comparisons were similar. The densities of benthic chironomids were significantly lower in substrates that were frequently dewatered compared to areas that were partially or usually not dewatered. Individuals from frequently dewatered areas were significantly smaller than those from other areas and the densities of benthic chironomids in 2008 were significantly lower than other years. Summer drawdown can reduce the catch and alter the size structure of fishes and chironomid larvae in Beulah Reservoir.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northwest Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.087.0304","usgsCitation":"Rose, B.P., and Mesa, M.G., 2013, Effects of summer drawdown on the fishes and larval chironomids in Beulah Reservoir, Oregon: Northwest Science, v. 87, no. 3, p. 207-218, https://doi.org/10.3955/046.087.0304.","productDescription":"12 p.","startPage":"207","endPage":"218","numberOfPages":"12","ipdsId":"IP-034273","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":280254,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3955/046.087.0304"},{"id":280265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Beulah Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.169671,43.910163 ], [ -118.169671,43.948141 ], [ -118.130371,43.948141 ], [ -118.130371,43.910163 ], [ -118.169671,43.910163 ] ] ] } } ] }","volume":"87","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52aadaefe4b078ad3e40e39c","contributors":{"authors":[{"text":"Rose, Brien P. brose@usgs.gov","contributorId":3493,"corporation":false,"usgs":true,"family":"Rose","given":"Brien","email":"brose@usgs.gov","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487274,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058665,"text":"70058665 - 2013 - Distribution and movement of Big Spring spinedace (<i>Lepidomeda mollispinis pratensis</i>) in Condor Canyon, Meadow Valley Wash, Nevada","interactions":[],"lastModifiedDate":"2013-12-12T09:35:47","indexId":"70058665","displayToPublicDate":"2013-12-12T09:31:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and movement of Big Spring spinedace (<i>Lepidomeda mollispinis pratensis</i>) in Condor Canyon, Meadow Valley Wash, Nevada","docAbstract":"Big Spring spinedace (Lepidomeda mollispinis pratensis) is a cyprinid whose entire population occurs within a section of Meadow Valley Wash, Nevada. Other spinedace species have suffered population and range declines (one species is extinct). Managers, concerned about the vulnerability of Big Spring spinedace, have considered habitat restoration actions or translocation, but they have lacked data on distribution or habitat use. Our study occurred in an 8.2-km section of Meadow Valley Wash, including about 7.2 km in Condor Canyon and 0.8 km upstream of the canyon. Big Spring spinedace were present upstream of the currently listed critical habitat, including in the tributary Kill Wash. We found no Big Spring spinedace in the lower 3.3 km of Condor Canyon. We tagged Big Spring spinedace ≥70 mm fork length (range 70–103 mm) with passive integrated transponder tags during October 2008 (n = 100) and March 2009 (n = 103) to document movement. At least 47 of these individuals moved from their release location (up to 2 km). Thirty-nine individuals moved to Kill Wash or the confluence area with Meadow Valley Wash. Ninety-three percent of movement occurred in spring 2009. Fish moved both upstream and downstream. We found no movement downstream over a small waterfall at river km 7.9 and recorded only one fish that moved downstream over Delmue Falls (a 12-m drop) at river km 6.1. At the time of tagging, there was no significant difference in fork length or condition between Big Spring Spinedace that were later detected moving and those not detected moving. We found no significant difference in fork length or condition at time of tagging of Big Spring spinedace ≥70 mm fork length that were detected moving and those not detected moving. Kill Wash and its confluence area appeared important to Big Spring spinedace; connectivity with these areas may be key to species persistence. These areas may provide a habitat template for restoration or translocation. The lower 3.3 km of Meadow Valley Wash in Condor Canyon may be a good candidate section for habitat restoration actions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Monte L. Bean Life Science Museum","doi":"10.3398/064.073.0306","usgsCitation":"Jezorek, I.G., and Connolly, P., 2013, Distribution and movement of Big Spring spinedace (<i>Lepidomeda mollispinis pratensis</i>) in Condor Canyon, Meadow Valley Wash, Nevada: Western North American Naturalist, v. 3, no. 73, p. 323-336, https://doi.org/10.3398/064.073.0306.","productDescription":"15 p.","startPage":"323","endPage":"336","numberOfPages":"15","ipdsId":"IP-039385","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502485,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol73/iss3/5","text":"External Repository"},{"id":280264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280249,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.073.0306"}],"country":"United States","state":"Nevada","otherGeospatial":"Meadow Valley Wash","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5207027,37.6147178 ], [ -114.5207027,37.6196828 ], [ -114.5105221,37.6196828 ], [ -114.5105221,37.6147178 ], [ -114.5207027,37.6147178 ] ] ] } } ] }","volume":"3","issue":"73","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52aadadee4b078ad3e40e334","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487240,"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":487239,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125307,"text":"70125307 - 2013 - Comparative microhabitat characteristics at oviposition sites of the California red-legged frog (<i>Rana draytonii</i>)","interactions":[],"lastModifiedDate":"2016-09-26T15:05:12","indexId":"70125307","displayToPublicDate":"2013-12-11T09:56:41","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Comparative microhabitat characteristics at oviposition sites of the California red-legged frog (<i>Rana draytonii</i>)","docAbstract":"We studied the microhabitat characteristics of 747 egg masses of the federally-threatened <i>Rana draytonii</i> (California red-legged frog) at eight sites in California. our study showed that a broad range of aquatic habitats are utilized by ovipositing <i>R. draytonii</i>, including sites with perennial and ephemeral water sources, natural and constructed wetlands, lentic and lotic hydrology, and sites surrounded by protected lands and nested within modified urban areas. We recorded 45 different egg mass attachment types, although the use of only a few types was common at each site. These attachment types ranged from branches and roots of riparian trees, emergent and submergent wetland vegetation, flooded upland grassland/ruderal vegetation, and debris. eggs were deposited in relatively shallow water (mean 39.7 cm) when compared to maximum site depths. We found that most frogs in artificial pond, natural creek, and artificial channel habitats deposited egg masses within one meter of the shore, while egg masses in a seasonal marsh averaged 27.3 m from the shore due to extensive emergent vegetation. <i>Rana draytonii</i> appeared to delay breeding in lotic habitats and in more inland sites compared to lentic habitats and coastal sites. eggs occurred as early as mid-december at a coastal artificial pond and as late as mid-April in an inland natural creek. We speculate that this delay in breeding may represent a method of avoiding high-flow events and/or freezing temperatures. Understanding the factors related to the reproductive needs of this species can contribute to creating, managing, or preserving appropriate habitat, and promoting species recovery.","language":"English","publisher":"Partners in Amphibian and Reptile Conservation","publisherLocation":"Texarkana, TX","usgsCitation":"Alvarez, J.A., Cook, D.G., Yee, J.L., van Hattem, M.G., Fong, D.R., and Fisher, R.N., 2013, Comparative microhabitat characteristics at oviposition sites of the California red-legged frog (<i>Rana draytonii</i>): Herpetological Conservation and Biology, v. 8, no. 3, p. 539-551.","productDescription":"13 p.","startPage":"539","endPage":"551","numberOfPages":"13","ipdsId":"IP-051239","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328988,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol8_issue3.html"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54195129e4b091c7ffc8e615","contributors":{"authors":[{"text":"Alvarez, Jeff A.","contributorId":102404,"corporation":false,"usgs":true,"family":"Alvarez","given":"Jeff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, David G.","contributorId":48921,"corporation":false,"usgs":true,"family":"Cook","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":501211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Hattem, Michael G.","contributorId":67022,"corporation":false,"usgs":true,"family":"van Hattem","given":"Michael","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":501213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fong, Darren R.","contributorId":50833,"corporation":false,"usgs":true,"family":"Fong","given":"Darren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":501212,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501209,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70055515,"text":"cir1392 - 2013 - Land subsidence and relative sea-level rise in the southern Chesapeake Bay region","interactions":[],"lastModifiedDate":"2026-04-29T17:09:38.389024","indexId":"cir1392","displayToPublicDate":"2013-12-09T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1392","title":"Land subsidence and relative sea-level rise in the southern Chesapeake Bay region","docAbstract":"<p>The southern Chesapeake Bay region is experiencing land subsidence and rising water levels due to global sea-level rise; land subsidence and rising water levels combine to cause relative sea-level rise. Land subsidence has been observed since the 1940s in the southern Chesapeake Bay region at rates of 1.1 to 4.8 millimeters per year (mm/yr), and subsidence continues today.</p>\n<br/>\n<p>This land subsidence helps explain why the region has the highest rates of sea-level rise on the Atlantic Coast of the United States. Data indicate that land subsidence has been responsible for more than half the relative sea-level rise measured in the region. Land subsidence increases the risk of flooding in low-lying areas, which in turn has important economic, environmental, and human health consequences for the heavily populated and ecologically important southern Chesapeake Bay region.</p>\n<br/>\n<p>The aquifer system in the region has been compacted by extensive groundwater pumping in the region at rates of 1.5- to 3.7-mm/yr; this compaction accounts for more than half of observed land subsidence in the region. Glacial isostatic adjustment, or the flexing of the Earth’s crust in response to glacier formation and melting, also likely contributes to land subsidence in the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1392","collaboration":"Prepared in cooperation with the Hampton Roads Planning District Commission","usgsCitation":"Eggleston, J., and Pope, J., 2013, Land subsidence and relative sea-level rise in the southern Chesapeake Bay region: U.S. Geological Survey Circular 1392, iv, 24 p., https://doi.org/10.3133/cir1392.","productDescription":"iv, 24 p.","numberOfPages":"32","additionalOnlineFiles":"N","ipdsId":"IP-044324","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":503647,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99375.htm","linkFileType":{"id":5,"text":"html"}},{"id":280225,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1392/pdf/circ1392.pdf"},{"id":280224,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1392/"},{"id":280235,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1392.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.2446,36.5538 ], [ -78.2446,38.6555 ], [ -75.7947,38.6555 ], [ -75.7947,36.5538 ], [ -78.2446,36.5538 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd639fe4b0b290850feecd","contributors":{"authors":[{"text":"Eggleston, Jack","contributorId":46648,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack","email":"","affiliations":[],"preferred":false,"id":486119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason","contributorId":61326,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","affiliations":[],"preferred":false,"id":486120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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