{"pageNumber":"1404","pageRowStart":"35075","pageSize":"25","recordCount":165244,"records":[{"id":70048442,"text":"70048442 - 2013 - Ecology of juvenile hawksbills (<i>Eretmochelys imbricata</i>) at Buck Island Reef National Monument, US Virgin Islands","interactions":[],"lastModifiedDate":"2016-09-28T14:04:11","indexId":"70048442","displayToPublicDate":"2013-09-25T15:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecology of juvenile hawksbills (<i>Eretmochelys imbricata</i>) at Buck Island Reef National Monument, US Virgin Islands","docAbstract":"<p><span>Surveys of juvenile hawksbills around Buck Island Reef National Monument, US Virgin Islands from 1994 to 1999 revealed distributional patterns and resulted in a total of 75 individual hawksbill captures from all years; turtles ranged from 23.2 to 77.7&nbsp;cm curved carapace length (CCL; mean 42.1&nbsp;±&nbsp;12.3&nbsp;cm SD). Juveniles concentrated where Zoanthid cover was highest. Length of time between recaptures, or presumed minimum site residency, ranged from 59 to 1,396&nbsp;days (mean 620.8&nbsp;±&nbsp;402.4&nbsp;days SD). Growth rates for 23 juveniles ranged from 0.0 to 9.5&nbsp;cm&nbsp;year</span><sup>−1</sup><span> (mean 4.1&nbsp;±&nbsp;2.4&nbsp;cm&nbsp;year</span><sup>−1</sup><span>SD). Annual mean growth rates were non-monotonic, with the largest mean growth rate occurring in the 30–39&nbsp;cm CCL size class. Gastric lavages indicated that Zoanthids were the primary food source for hawksbills. These results contribute to our understanding of juvenile hawksbill ecology and serve as a baseline for future studies or inventories of hawksbills in the Caribbean.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00227-013-2249-x","usgsCitation":"Hart, K.M., Sartain-Iverson, A.R., Hillis-Starr, Z., Phillips, B., Mayor, P.A., Roberson, K., Pemberton, R.A., Allen, J.B., Lundgren, I., and Musick, S., 2013, Ecology of juvenile hawksbills (<i>Eretmochelys imbricata</i>) at Buck Island Reef National Monument, US Virgin Islands: Marine Biology, v. 160, no. 10, p. 2567-2580, https://doi.org/10.1007/s00227-013-2249-x.","productDescription":"14 p.","startPage":"2567","endPage":"2580","ipdsId":"IP-040255","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":278160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Buck Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -64.64,17.79 ], [ -64.64,17.8 ], [ -64.61,17.8 ], [ -64.61,17.79 ], [ -64.64,17.79 ] ] ] } } ] }","volume":"160","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-05-01","publicationStatus":"PW","scienceBaseUri":"52455763e4b0b3d37307e17a","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":484661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hillis-Starr, Zandy","contributorId":56142,"corporation":false,"usgs":true,"family":"Hillis-Starr","given":"Zandy","affiliations":[],"preferred":false,"id":484666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Brendalee","contributorId":9561,"corporation":false,"usgs":true,"family":"Phillips","given":"Brendalee","email":"","affiliations":[],"preferred":false,"id":484662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayor, Philippe A.","contributorId":70680,"corporation":false,"usgs":true,"family":"Mayor","given":"Philippe","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberson, Kimberly","contributorId":106406,"corporation":false,"usgs":true,"family":"Roberson","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":484669,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pemberton, Roy A. Jr.","contributorId":28520,"corporation":false,"usgs":true,"family":"Pemberton","given":"Roy","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484663,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allen, Jason B.","contributorId":90629,"corporation":false,"usgs":true,"family":"Allen","given":"Jason","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484668,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lundgren, Ian","contributorId":29727,"corporation":false,"usgs":true,"family":"Lundgren","given":"Ian","affiliations":[],"preferred":false,"id":484664,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Musick, Susanna","contributorId":32440,"corporation":false,"usgs":true,"family":"Musick","given":"Susanna","email":"","affiliations":[],"preferred":false,"id":484665,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048407,"text":"70048407 - 2013 - Diel variation in summer habitat use, feeding periodicity, and diet of subyearling Atlantic salmon in the Salmon River Basin, New York","interactions":[],"lastModifiedDate":"2013-09-26T14:46:27","indexId":"70048407","displayToPublicDate":"2013-09-25T14:42:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Diel variation in summer habitat use, feeding periodicity, and diet of subyearling Atlantic salmon in the Salmon River Basin, New York","docAbstract":"The habitat use, diet composition, and feeding periodicity of subyearling Atlantic salmon (Salmo salar) was examined during both day and night periods during summer in tributaries of Lake Ontario. The amount of cover used was the major habitat variable that differed between day and night periods in both streams. At night subyearling Atlantic salmon were associated with significantly less cover than during the day. Principal Component Analysis showed that habitat selection of subyearling Atlantic salmon was more pronounced during the day in both streams and that salmon in Orwell Brook exhibited more diel variability in habitat use than salmon in Trout Brook. Subyearling salmon fed primarily from the benthic substrate on baetids, chironomids, and leptocerids. There was a substantial amount of diel variation in diet composition with peak feeding occurring from 0400 h to 0800 h on July 21–22, 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.06.003","usgsCitation":"Johnson, J.H., 2013, Diel variation in summer habitat use, feeding periodicity, and diet of subyearling Atlantic salmon in the Salmon River Basin, New York: Journal of Great Lakes Research, v. 39, no. 3, p. 493-498, https://doi.org/10.1016/j.jglr.2013.06.003.","productDescription":"6 p.","startPage":"493","endPage":"498","ipdsId":"IP-044726","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278150,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.06.003"}],"country":"United States","state":"New York","otherGeospatial":"Salmon River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.205,43.5089 ], [ -76.205,43.57 ], [ -75.97,43.57 ], [ -75.97,43.5089 ], [ -76.205,43.5089 ] ] ] } } ] }","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52455763e4b0b3d37307e174","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":484546,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048467,"text":"70048467 - 2013 - Sediment source analysis in the Linganore Creek watershed, Maryland, USA, using the sediment fingerprinting approach: 2008 to 2010","interactions":[],"lastModifiedDate":"2013-11-18T10:09:10","indexId":"70048467","displayToPublicDate":"2013-09-25T14:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Sediment source analysis in the Linganore Creek watershed, Maryland, USA, using the sediment fingerprinting approach: 2008 to 2010","docAbstract":"Purpose: Fine-grained sediment is an important pollutant in\nstreams and estuaries, including the Chesapeake Bay in the\nUSA. The objective of this study was to determine the sources\nof fine-grained sediment using the sediment fingerprinting\napproach in the Linganore Creek watershed, a tributary to\nthe Chesapeake Bay.\n\nMaterials and methods: The sediment fingerprinting approach\nwas used in the agricultural and forested, 147-km 2\nLinganore Creek watershed, Maryland from 1 August 2008 to 31 December\n2010 to determine the relative percentage contribution from\ndifferent potential sources of fine-grained sediment. Fine-grained suspended sediment samples (<63 μm) were collected\nduring storm events in Linganore Creek using an automatic\nsampler and manual isokinetic samplers. Source samples were\ncollected from 40 stream bank sites, 24 agricultural (cropland and\npasture) sites, and 19 forested sites. Suspended sediment and\nsource samples were analyzed for elements and stable isotopes.\n\nResults and discussion: Results of sediment fingerprinting for\n194 samples collected in 36 separate storm events indicate that\nstream banks contributed 53% of the annual fine-grained\nsuspended sediment load, agriculture contributed 44%, and\nforests contributed 3%. Peak flows and sediment loads of the\nstorms correlate to stream bank erosion. The highest peak\nflows occurred in the winter and, along with freeze–thaw\nactivity, contributed to winter months showing the highest\nrate of stream bank erosion. Peak flow was negatively correlated to sediment sources from agricultural lands which had\nthe greatest contribution in non-winter months. Caution\nshould be observed when trying to interpret the relation between sediment sources and individual storms using the sediment fingerprinting approach. Because the sediment fingerprinting results from individual storms may not include the temporal aspects of the sourced sediment, sediment that is in\nstorage from previous events, remobilized and sampled during\nthe current event, will reflect previous storm characteristics.\nStream bank sediment is delivered directly to the channel\nduring an event, whereas the delivery of upland sediment to\nthe stream is lower due to storage on hillslopes and/or in\nchannels, sediment from stream banks are more likely to be\nrelated to the characteristics of the sampled storm event.\n\nConclusions: Stream banks and agricultural lands are both\nimportant sources of fine-grained sediment in the Linganore\nCreek watershed. Peak flows and sediment loads for the 36\nstorms show a significant relation to sediment sources from\nstream bank erosion. Attempting to link upland sediment\nsources to flow and seasonal characteristics is difficult since\nmuch of the upland sediment eroded in an event goes into\nstorage. By averaging sediment sources over several storms, it\nmay be possible to determine not only the sediment sources\nthat are directly contributed during the current event but also\nsediment from previous events that was in storage and\nremobilized.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Soils and Sediments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11368-013-0771-6","usgsCitation":"Gellis, A., and Noe, G., 2013, Sediment source analysis in the Linganore Creek watershed, Maryland, USA, using the sediment fingerprinting approach: 2008 to 2010: Journal of Soils and Sediments, v. 13, no. 10, p. 1735-1753, https://doi.org/10.1007/s11368-013-0771-6.","productDescription":"19 p.","startPage":"1735","endPage":"1753","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-049523","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":278193,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11368-013-0771-6"},{"id":278194,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s11368-013-0771-6"},{"id":278201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay;Linganore Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.4633,36.9078 ], [ -76.4633,37.9656 ], [ -75.6353,37.9656 ], [ -75.6353,36.9078 ], [ -76.4633,36.9078 ] ] ] } } ] }","volume":"13","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-09-24","publicationStatus":"PW","scienceBaseUri":"5246e91be4b035b7f35adde8","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":484741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B.","contributorId":77805,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory B.","affiliations":[],"preferred":false,"id":484742,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048409,"text":"ofr20131173 - 2013 - Laboratory evaluation of the Level TROLL 100 manufactured by In-Situ Inc.: results of pressure and temperature tests","interactions":[],"lastModifiedDate":"2013-09-25T14:19:26","indexId":"ofr20131173","displayToPublicDate":"2013-09-25T14:13:00","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":"2013-1173","title":"Laboratory evaluation of the Level TROLL 100 manufactured by In-Situ Inc.: results of pressure and temperature tests","docAbstract":"The Level TROLL 100 manufactured by In-Situ Inc. was evaluated by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) for conformance to the manufacturer’s accuracy specifications for measuring pressure throughout the device’s operating temperature range. The Level TROLL 100 is a submersible, sealed, water-level sensing device with an operating pressure range equivalent to 0 to 30 feet of water over a temperature range of −20 to 50 degrees Celsius (°C). The device met the manufacturer’s stated accuracy specifications for pressure within its temperature-compensated operating range of 0 to 50 °C. The device’s accuracy specifications did not meet established USGS requirements for primary water-stage sensors used in the operation of streamgages, but the Level TROLL 100 may be suitable for other hydrologic data-collection applications. As a note, the Level TROLL 100 is not designed to meet USGS accuracy requirements. Manufacturer accuracy specifications were evaluated, and the procedures followed and the results obtained are described in this report. USGS accuracy requirements are routinely examined and reported when instruments are evaluated at the HIF.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131173","usgsCitation":"Carnley, M.V., Fulford, J.M., and Brooks, M.H., 2013, Laboratory evaluation of the Level TROLL 100 manufactured by In-Situ Inc.: results of pressure and temperature tests: U.S. Geological Survey Open-File Report 2013-1173, v, 12 p., https://doi.org/10.3133/ofr20131173.","productDescription":"v, 12 p.","numberOfPages":"22","onlineOnly":"Y","costCenters":[{"id":339,"text":"Hydrologic Instrumentation Facility","active":false,"usgs":true}],"links":[{"id":278099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131173.gif"},{"id":278097,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1173/"},{"id":278098,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1173/pdf/ofr2013-1173.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f811e4b05b217bad9ff1","contributors":{"authors":[{"text":"Carnley, Mark V. mcarnley@usgs.gov","contributorId":2723,"corporation":false,"usgs":true,"family":"Carnley","given":"Mark","email":"mcarnley@usgs.gov","middleInitial":"V.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":484555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulford, Janice M. jfulford@usgs.gov","contributorId":991,"corporation":false,"usgs":true,"family":"Fulford","given":"Janice","email":"jfulford@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":484554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Myron H. mhbrooks@usgs.gov","contributorId":4386,"corporation":false,"usgs":true,"family":"Brooks","given":"Myron","email":"mhbrooks@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":484556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048403,"text":"70048403 - 2013 - Parasites of Bloater Coregonus hoyi (Salmonidae) from Lake Michigan, U.S.A","interactions":[],"lastModifiedDate":"2013-10-30T11:18:31","indexId":"70048403","displayToPublicDate":"2013-09-25T12:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1298,"text":"Comparative Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Parasites of Bloater Coregonus hoyi (Salmonidae) from Lake Michigan, U.S.A","docAbstract":"In total, 158 bloaters Coregonus hoyi collected in September and October 2011 from 4 Lake Michigan, U.S.A., ports were examined for parasites. The ports included Waukegan (WK), Illinois; Port Washington (PW) and Sturgeon Bay (SB), Wisconsin; and Saugatuck (SG), Michigan. Parasites found in bloaters by port were cestodes Cyathocephalus truncatus (WK, PW, and SB) and Eubothrium salvelini (WK, PW, SB, and SG); the nematode Cystidicola farionis (WK, PW, SB, and SG); acanthocephalans Acanthocephalus dirus (WK and PW), Echinorhynchus salmonis (WK, PW, and SB), and Neoechinorhynchus tumidus (SB); and the copepod Salmincola corpulentus (WK and PW). Gravid individuals of all parasite species were found except for E. salvelini and A. dirus. Cystidicola farionis had the highest prevalence at each port, and the highest mean intensity and mean abundance at PW. The numbers of C. farionis at PW were significantly higher than those at WK and SB. Echinorhynchus salvelini had the highest mean intensities and mean abundances at WK, SB, and SG. The values for parasite species richness in bloaters were similar among ports. The total numbers of parasites were similar between WK and PW, but they were higher at these ports than at SB. The parasite faunas of bloaters were characterized by autogenic helminth species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Comparative Parasitology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Helminthological Society of Washington","doi":"10.1654/4617.1","usgsCitation":"Madenjian, C.P., and Muzzall, P.M., 2013, Parasites of Bloater Coregonus hoyi (Salmonidae) from Lake Michigan, U.S.A: Comparative Parasitology, v. 80, no. 2, p. 164-170, https://doi.org/10.1654/4617.1.","productDescription":"7 p.","startPage":"164","endPage":"170","numberOfPages":"7","ipdsId":"IP-043549","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278092,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1654/4617.1"}],"volume":"80","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f812e4b05b217bad9ff5","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":484535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muzzall, Patrick M.","contributorId":61371,"corporation":false,"usgs":true,"family":"Muzzall","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484536,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048408,"text":"sir20135102 - 2013 - Simulating stream transport of nutrients in the eastern United States, 2002, using a spatially-referenced regression model and 1:100,000-scale hydrography","interactions":[],"lastModifiedDate":"2013-09-25T13:04:05","indexId":"sir20135102","displayToPublicDate":"2013-09-25T12:38:00","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":"2013-5102","title":"Simulating stream transport of nutrients in the eastern United States, 2002, using a spatially-referenced regression model and 1:100,000-scale hydrography","docAbstract":"Existing Spatially Referenced Regression on Watershed attributes (SPARROW) nutrient models for the northeastern and southeastern regions of the United States were recalibrated to achieve a hydrographically consistent model with which to assess nutrient sources and stream transport and investigate specific management questions about the effects of wetlands and atmospheric deposition on nutrient transport. Recalibrated nitrogen models for the northeast and southeast were sufficiently similar to be merged into a single nitrogen model for the eastern United States. The atmospheric deposition source in the nitrogen model has been improved to account for individual components of atmospheric input, derived from emissions from agricultural manure, agricultural livestock, vehicles, power plants, other industry, and background sources. This accounting makes it possible to simulate the effects of altering an individual component of atmospheric deposition, such as nitrate emissions from vehicles or power plants. Regional differences in transport of phosphorus through wetlands and reservoirs were investigated and resulted in two distinct phosphorus models for the northeast and southeast. The recalibrated nitrogen and phosphorus models account explicitly for the influence of wetlands on regional-scale land-phase and aqueous-phase transport of nutrients and therefore allow comparison of the water-quality functions of different wetland systems over large spatial scales. Seven wetland systems were associated with enhanced transport of either nitrogen or phosphorus in streams, probably because of the export of dissolved organic nitrogen and bank erosion. Six wetland systems were associated with mitigating the delivery of either nitrogen or phosphorus to streams, probably because of sedimentation, phosphate sorption, and ground water infiltration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135102","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Hoos, A.B., Moore, R.B., Garcia, A., Noe, G., Terziotti, S., Johnston, C.M., and Dennis, R.L., 2013, Simulating stream transport of nutrients in the eastern United States, 2002, using a spatially-referenced regression model and 1:100,000-scale hydrography: U.S. Geological Survey Scientific Investigations Report 2013-5102, vii, 33 p., https://doi.org/10.3133/sir20135102.","productDescription":"vii, 33 p.","numberOfPages":"46","onlineOnly":"Y","temporalStart":"2002-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":278096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135102.gif"},{"id":278095,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5102/pdf/sir2013-5102.pdf"},{"id":278094,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5102/"}],"projection":"Albers Equal-Area Conic Projection","datum":"North American Datum of 1983","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.11,24.35 ], [ -91.11,47.47 ], [ -64.51,47.47 ], [ -64.51,24.35 ], [ -91.11,24.35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f812e4b05b217bad9ffd","contributors":{"authors":[{"text":"Hoos, Anne B. abhoos@usgs.gov","contributorId":2236,"corporation":false,"usgs":true,"family":"Hoos","given":"Anne","email":"abhoos@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":484549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Richard B. rmoore@usgs.gov","contributorId":1464,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","email":"rmoore@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Ana Maria 0000-0002-5388-1281","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":44634,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noe, Gregory B.","contributorId":77805,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory B.","affiliations":[],"preferred":false,"id":484552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terziotti, Silvia E.","contributorId":90204,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia E.","affiliations":[],"preferred":false,"id":484553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Craig M. cmjohnst@usgs.gov","contributorId":1814,"corporation":false,"usgs":true,"family":"Johnston","given":"Craig","email":"cmjohnst@usgs.gov","middleInitial":"M.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dennis, Robin L.","contributorId":42849,"corporation":false,"usgs":true,"family":"Dennis","given":"Robin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484550,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048395,"text":"70048395 - 2013 - Reevaluation of a walleye (Sander vitreus) bioenergetics model","interactions":[],"lastModifiedDate":"2013-09-25T12:00:49","indexId":"70048395","displayToPublicDate":"2013-09-25T11:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1651,"text":"Fish Physiology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of a walleye (Sander vitreus) bioenergetics model","docAbstract":"Walleye (Sander vitreus) is an important sport fish throughout much of North America, and walleye populations support valuable commercial fisheries in certain lakes as well. Using a corrected algorithm for balancing the energy budget, we reevaluated the performance of the Wisconsin bioenergetics model for walleye in the laboratory. Walleyes were fed rainbow smelt (Osmerus mordax) in four laboratory tanks each day during a 126-day experiment. Feeding rates ranged from 1.4 to 1.7 % of walleye body weight per day. Based on a statistical comparison of bioenergetics model predictions of monthly consumption with observed monthly consumption, we concluded that the bioenergetics model estimated food consumption by walleye without any significant bias. Similarly, based on a statistical comparison of bioenergetics model predictions of weight at the end of the monthly test period with observed weight, we concluded that the bioenergetics model predicted walleye growth without any detectable bias. In addition, the bioenergetics model predictions of cumulative consumption over the 126-day experiment differed fromobserved cumulative consumption by less than 10 %. Although additional laboratory and field testing will be needed to fully evaluate model performance, based on our laboratory results, the Wisconsin bioenergetics model for walleye appears to be providing unbiased predictions of food consumption.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fish Physiology and Biochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10695-012-9737-7","usgsCitation":"Madenjian, C.P., and Wang, C., 2013, Reevaluation of a walleye (Sander vitreus) bioenergetics model: Fish Physiology and Biochemistry, v. 39, no. 4, p. 749-754, https://doi.org/10.1007/s10695-012-9737-7.","productDescription":"6 p.","startPage":"749","endPage":"754","numberOfPages":"6","ipdsId":"IP-041962","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278088,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10695-012-9737-7"}],"volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-11-04","publicationStatus":"PW","scienceBaseUri":"5243f812e4b05b217bad9ff9","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":484518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Chunfang","contributorId":40884,"corporation":false,"usgs":true,"family":"Wang","given":"Chunfang","email":"","affiliations":[],"preferred":false,"id":484519,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048405,"text":"sir20135161 - 2013 - Enhancements to the Mississippi Embayment Regional Aquifer Study (MERAS) groundwater-flow model and simulations of sustainable water-level scenarios","interactions":[],"lastModifiedDate":"2019-06-20T13:10:14","indexId":"sir20135161","displayToPublicDate":"2013-09-25T11:48:00","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":"2013-5161","title":"Enhancements to the Mississippi Embayment Regional Aquifer Study (MERAS) groundwater-flow model and simulations of sustainable water-level scenarios","docAbstract":"<p>Arkansas continues to be one of the largest users of groundwater in the Nation. As such, long-term planning and management are essential to ensure continued availability of groundwater and surface water for years to come. The Mississippi Embayment Regional Aquifer Study (MERAS) model was developed previously as a tool to evaluate groundwater availability within the Mississippi embayment, which encompasses much of eastern Arkansas where the majority of groundwater is used. The Arkansas Water Plan is being updated for the first time since 1990 and serves as the State’s primary, comprehensive water-resources planning and guidance document. The MERAS model was selected as the best available tool for evaluation of specific water-use pumping scenarios that are currently being considered by the State of Arkansas. The model, developed as part of the U.S. Geological Survey Groundwater Resources Program’s assessment of the Nation’s groundwater availability, is proving to be invaluable to the State as it works toward development of a sustained yield pumping strategy. One aspect of this investigation was to evaluate multiple methods to improve the match of observed to simulated groundwater levels within the Mississippi River Valley alluvial and middle Claiborne (Sparta) aquifers in the MERAS model. Five primary methods were evaluated: (1) explicit simulation of evapotranspiration (ET), (2) upgrade of the Multi-Node Well (MNW2) Package, (3) geometry improvement within the Streamflow Routing (SFR) Package, (4) parameter estimation of select aquifer properties with pilot points, and (5) modification of water-use estimates. For the planning purposes of the Arkansas Water Plan, three scenarios were developed to evaluate potential future conditions: (1) simulation of previously optimized pumping values within the Mississippi River Valley alluvial and the middle Claiborne aquifers, (2) simulated prolonged effects of pumping at average recent (2000–5) rates, and (3) simulation of drawdown constraints on most pumping wells.</p>\n</br>\n<p>The explicit simulation of ET indicated little, if any, improvement of model fit at the expense of much longer simulation time and was not included in further simulations. Numerous attempts to fully utilize the MNW2 Package were unsuccessful in achieving model stability, though modifications made to the water-use dataset remained intact. Final improvements in the residual statistics may be attributed to a single method, or a cumulative effect of all other methods (geometry improvement with the SFR Package, parameter estimation with pilot points, and modification of water-use estimates) attempted. The root mean squared error (RMSE) for all observations in the model is 22.65 feet (ft) over a range in observed hydraulic head of 741.66 ft. The RMSE for water-level observations in the Mississippi River Valley alluvial aquifer is 14.14 ft (an improvement of almost 3 ft) over a range in observed hydraulic head of 297.25 ft. The RMSE for the Sparta aquifer is 32.02 ft (an improvement of approximately 3 ft) over a range in observed hydraulic head of 634.94 ft.</p>\n</br>\n<p>Three scenarios were developed to utilize a steady-state version of the MERAS model. Scenario 1 was developed to use pumping values resulting from the optimization of baseline rates (typically 1997 pumping rates) from previous optimization modeling of the alluvial aquifer and the Sparta aquifer. Scenario 2 was developed to evaluate the prolonged effects of pumping from the alluvial aquifer at recent pumping rates. Scenario 3A was designed to evaluate withdrawal limits from the alluvial aquifer by utilizing drawdown constraints equal to an altitude of approximately 50 percent of the predevelopment saturated thickness of the alluvial aquifer or 30 ft above the bottom of the alluvial aquifer, whichever was greater. The results of scenario 1 indicate large water-level declines throughout the area of the alluvial aquifer, regardless of the substitution of the optimized pumping values from earlier model simulations. The results of scenario 2 also indicate large areas of water-level decline, as compared to half of the saturated thickness, throughout the alluvial aquifer. The results of scenario 3A reveal some effects from the inclusion of multiple aquifers in a single simulation. The initial configuration of scenario 3A resulted in water levels well below the defined drawdown constraint, and some areas of depleted aquifer (water levels that are near or below the bottom of the aquifer) in east-central Arkansas. A fourth simulation (scenario 3B) was configured to apply the same drawdown constraints from the alluvial aquifer wells to the Sparta aquifer wells in the depleted area. These drawdown constraints reduce leakage from the alluvial aquifer to the underlying Sparta aquifer. This configuration did not produce depleted areas within the alluvial aquifer. Scenarios 3A and 3B indicate that even when pumping is limited in the alluvial aquifer, water levels in the alluvial aquifer may continue to decline in some areas because of pumping in the underlying Sparta aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135161","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Clark, B.R., Westerman, D.A., and Fugitt, D.T., 2013, Enhancements to the Mississippi Embayment Regional Aquifer Study (MERAS) groundwater-flow model and simulations of sustainable water-level scenarios: U.S. Geological Survey Scientific Investigations Report 2013-5161, iv, 29 p., https://doi.org/10.3133/sir20135161.","productDescription":"iv, 29 p.","numberOfPages":"36","onlineOnly":"Y","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":278090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135161.gif"},{"id":278148,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5161/pdf/sir2013-5161.pdf"},{"id":278089,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5161/"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.054,30.4913 ], [ -94.054,38.5052 ], [ -86.5118,38.5052 ], [ -86.5118,30.4913 ], [ -94.054,30.4913 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f810e4b05b217bad9fed","contributors":{"authors":[{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":484539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fugitt, D. Todd","contributorId":7835,"corporation":false,"usgs":true,"family":"Fugitt","given":"D.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":484541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048404,"text":"tm6A47 - 2013 - Use of multi-node wells in the Groundwater-Management Process of MODFLOW-2005 (GWM-2005)","interactions":[],"lastModifiedDate":"2013-09-25T10:07:43","indexId":"tm6A47","displayToPublicDate":"2013-09-25T10:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A47","title":"Use of multi-node wells in the Groundwater-Management Process of MODFLOW-2005 (GWM-2005)","docAbstract":"Many groundwater wells are open to multiple aquifers or to multiple intervals within a single aquifer. These types of wells can be represented in numerical simulations of groundwater flow by use of the Multi-Node Well (MNW) Packages developed for the U.S. Geological Survey’s MODFLOW model. However, previous versions of the Groundwater-Management (GWM) Process for MODFLOW did not allow the use of multi-node wells in groundwater-management formulations. This report describes modifications to the MODFLOW–2005 version of the GWM Process (GWM–2005) to provide for such use with the MNW2 Package. Multi-node wells can be incorporated into a management formulation as flow-rate decision variables for which optimal withdrawal or injection rates will be determined as part of the GWM–2005 solution process. In addition, the heads within multi-node wells can be used as head-type state variables, and, in that capacity, be included in the objective function or constraint set of a management formulation. Simple head bounds also can be defined to constrain water levels at multi-node wells. The report provides instructions for including multi-node wells in the GWM–2005 data-input files and a sample problem that demonstrates use of multi-node wells in a typical groundwater-management problem.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A47","collaboration":"Groundwater Resources Program","usgsCitation":"Ahlfeld, D.P., and Barlow, P.M., 2013, Use of multi-node wells in the Groundwater-Management Process of MODFLOW-2005 (GWM-2005): U.S. Geological Survey Techniques and Methods 6-A47, vi, 26 p., https://doi.org/10.3133/tm6A47.","productDescription":"vi, 26 p.","numberOfPages":"36","onlineOnly":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":278080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a47.gif"},{"id":278078,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/06/a47/"},{"id":278079,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a47/pdf/tm6-a47.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f813e4b05b217bada001","contributors":{"authors":[{"text":"Ahlfeld, David P.","contributorId":49464,"corporation":false,"usgs":true,"family":"Ahlfeld","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":484537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048396,"text":"70048396 - 2013 - Distribution and abundance of freshwater polychaetes, Manayunkia speciosa (Polychaeta), in the Great Lakes with a 70-year case history for western Lake Erie","interactions":[],"lastModifiedDate":"2013-09-26T15:17:30","indexId":"70048396","displayToPublicDate":"2013-09-25T09:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and abundance of freshwater polychaetes, Manayunkia speciosa (Polychaeta), in the Great Lakes with a 70-year case history for western Lake Erie","docAbstract":"Manayunkia speciosa has been a taxonomic curiosity for 150 years with little interest until 1977 when it was identified as an intermediate host of a fish parasite (Ceratomyxa shasta) responsible for fish mortalities (e.g., chinook salmon). Manayunkia was first reported in the Great Lakes in 1929. Since its discovery, the taxon has been reported in 50% (20 of 40 studies) of benthos studies published between 1960 and 2007. When found, Manayunkia comprised < 1% of benthos in 70% of examined studies. In one extensive study, Manayunkia occurred in only 26% of 378 sampled events (1991–2009). The taxon was found at higher densities in one area of Lake Erie (mean = 3658/m<sup>2</sup>) and Georgian Bay (1790/m<sup>2</sup>) than in five other areas (mean = 60 to 553/m<sup>2</sup>) of the lakes. A 70-year history of Manayunkia in western Lake Erie indicates it was not found in 1930, was most abundant in 1961 (mean = 8039, maximum = 67,748/m<sup>2</sup>), and decreased in successive periods of 1982 (3529, 49,639/m<sup>2</sup>), 1993 (1876, 25,332/m<sup>2</sup>), and 2003 (79, 2583/m<sup>2</sup>). It occurred at 48% of stations in 1961, 58% in 1982, 52% in 1993, and 6% of stations in 2003. In all years, Manayunkia was distributed primarily near the mouth of the Detroit River. Causes for declines in distribution and abundance are unknown, but may be related to pollution-abatement programs that began in the 1970s, and invasion of dreissenid mussels in the late-1980s which contributed to de-eutrophication of western Lake Erie. At present, importance of the long-term decline of Manayunkia in Lake Erie is unknown.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.03.006","usgsCitation":"Schloesser, D.W., 2013, Distribution and abundance of freshwater polychaetes, Manayunkia speciosa (Polychaeta), in the Great Lakes with a 70-year case history for western Lake Erie: Journal of Great Lakes Research, v. 39, no. 2, p. 308-316, https://doi.org/10.1016/j.jglr.2013.03.006.","productDescription":"9 p.","startPage":"308","endPage":"316","ipdsId":"IP-044493","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":278155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278153,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.03.006"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,0.0011111111111111111 ], [ -95,0.001388888888888889 ], [ -73,0.001388888888888889 ], [ -73,0.0011111111111111111 ], [ -95,0.0011111111111111111 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52455763e4b0b3d37307e177","contributors":{"authors":[{"text":"Schloesser, Don W.","contributorId":21485,"corporation":false,"usgs":true,"family":"Schloesser","given":"Don","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484520,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048399,"text":"fs20133036 - 2013 - Water-quality and related aquatic biological characterization of Fish Creek, Teton County, Wyoming, 2007-2011","interactions":[],"lastModifiedDate":"2013-09-25T09:15:51","indexId":"fs20133036","displayToPublicDate":"2013-09-25T09:05:00","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":"2013-3036","title":"Water-quality and related aquatic biological characterization of Fish Creek, Teton County, Wyoming, 2007-2011","docAbstract":"<p>Fish Creek, in western Wyoming near the town of Wilson, is a key feature in the area because it is used for irrigation, fishing, and other recreation, and adds scenic value to properties it runs through. Public concern about nuisance growths of aquatic plants in Fish Creek has been increasing since the early 2000s. To address these concerns, the U.S. Geological Survey, in cooperation with the Teton Conservation District, began studying Fish Creek in 2004 to describe the hydrology of the stream and later (2007–11) to characterize the water quality and the biological communities.</p>\n</br>\n<p>In particular, the study was designed to address three specific questions:</p>\n</br>\n<p>•Is algal growth in Fish Creek typical for a stream of its size and geographic area?</p>\n<p>•Are nutrients entering Fish Creek from nearby land use?</p>\n<p>•What is the quality of the water in Fish Creek and the health of its biological communities?</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133036","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C., Wheeler, J.D., Peterson, D.A., and Leemon, D.J., 2013, Water-quality and related aquatic biological characterization of Fish Creek, Teton County, Wyoming, 2007-2011: U.S. Geological Survey Fact Sheet 2013-3036, 4 p., https://doi.org/10.3133/fs20133036.","productDescription":"4 p.","numberOfPages":"4","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-045316","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":278064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133036.gif"},{"id":278062,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3036/"},{"id":278063,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3036/pdf/fs2013-3036.pdf"}],"datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Fish Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.900373,43.448557 ], [ -110.900373,43.601651 ], [ -110.78021,43.601651 ], [ -110.78021,43.448557 ], [ -110.900373,43.448557 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f814e4b05b217bada005","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":484528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leemon, Daniel J.","contributorId":70090,"corporation":false,"usgs":true,"family":"Leemon","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048400,"text":"sir20135117 - 2013 - Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","interactions":[],"lastModifiedDate":"2013-09-25T09:01:14","indexId":"sir20135117","displayToPublicDate":"2013-09-25T08:57:00","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":"2013-5117","title":"Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011","docAbstract":"<p>Fish Creek, an approximately 25-kilometer-long tributary to Snake River, is located in Teton County in western Wyoming near the town of Wilson. Fish Creek is an important water body because it is used for irrigation, fishing, and recreation and adds scenic value to the Jackson Hole properties it runs through. Public concern about nuisance growths of aquatic plants in Fish Creek has been increasing since the early 2000s. To address these concerns, the U.S. Geological Survey conducted a study in cooperation with the Teton Conservation District to characterize the hydrology, water quality, and biologic communities of Fish Creek during 2007–11.</p>\n</br>\n<p>The hydrology of Fish Creek is strongly affected by groundwater contributions from the area known as the Snake River west bank, which lies east of Fish Creek and west of Snake River. Because of this continuous groundwater discharge to the creek, land-use activities in the west bank area can affect the groundwater quality. Evaluation of nitrate isotopes and dissolved-nitrate concentrations in groundwater during the study indicated that nitrate was entering Fish Creek from groundwater, and that the source of nitrate was commonly a septic/sewage effluent or manure source, or multiple sources, potentially including artificial nitrogen fertilizers, natural soil organic matter, and mixtures of sources.</p>\n</br>\n<p>Concentrations of dissolved nitrate and orthophosphate, which are key nutrients for growth of aquatic plants, generally were low in Fish Creek and occasionally were less than reporting levels (not detected). One potential reason for the low nutrient concentrations is that nutrients were being consumed by aquatic plant life that increases during the summer growing season, as a result of the seasonal increase in temperature and larger number of daylight hours.</p>\n</br>\n<p>Several aspects of Fish Creek’s hydrology contribute to higher productivity and biovolume of aquatic plants in Fish Creek than typically observed in streams of its size in Wyoming. Especially in the winter, the proportionately large, continuous gain of groundwater into Fish Creek in the perennial section keeps most of the creek free of ice. Because sunlight can still reach the streambed in Fish Creek and the water is still flowing, aquatic plants continue to photosynthesize in the winter, albeit at a lower level of productivity. Additionally, the cobble and large gravel substrate in Fish Creek provides excellent attachment points for aquatic plants, and when combined with Fish Creek’s channel stability allows rapid growth of aquatic plants once conditions allow during the spring.</p>\n</br>\n<p>The aquatic plant community of Fish Creek was different than most streams in Wyoming in that it contains many different macrophytes—including macroalgae such as long streamers of <i>Cladophora</i>, aquatic vascular plants, and moss; most other streams in the state contain predominantly algae. From the banks of Fish Creek, the bottom of the stream sometimes appeared to be a solid green carpet. A shift was observed from higher amounts of microalgae in April/May to higher amounts macrophytes in August and October, and differences in the relative abundance of microalgae and macrophytes were statistically significant between seasons.</p>\n</br>\n<p>Differences in dissolved-nitrate concentrations and in the nitrogen-to-phosphorus ratio were significantly different between seasons, as concentrations of dissolved nitrate decreased from April/May to August and October. It is likely that dissolved-nitrate concentrations in Fish Creek were lower in August and October because macrophytes were quickly utilizing the nutrient, and a negative correlation between macro-phytes and nitrate was found.</p>\n</br>\n<p>Macroinvertebrates also were sampled because of their role as indicators of water quality and their documented responses to perturbation such as degradation of water quality and habitat. Statistically significant seasonal differences were noted in the macroinvertebrate community. Taxa richness and relative abundance of Ephemeroptera, Plecoptera, and Trichoptera, which tend to be intolerant of water-quality degradation, decreased from April/May to August; the same time period saw a corresponding increase in Diptera and noninsects, particularly Oligochaeta (worms) that are more tolerant.</p>\n</br>\n<p>Seasonal changes in macroinvertebrate functional feeding groups were significantly different. The relative abundance of gatherer-collector and scraper feeding groups decreased from April/May to August, accompanied by an increase in filterer-collector and shredders feeding groups. Seasonal changes in feeding groups might be due to the seasonal shift in aquatic plant communities, as indicated by comparison with other streams in the area that had fewer aquatic macrophytes than Fish Creek. Statistical tests of macroinvertebrate metrics indicated few differences between years or biological sampling sites on Fish Creek, although the site farthest upstream sometimes was different not only in terms of macroinvertebrates but also in streamflow, water quality, and aquatic plants.</p>\n</br>\n<p>Potential effects of contributions of additional nutrients to the Fish Creek ecosystem beyond the conditions sampled during the study period are not known. However, because virtually all of the detectable dissolved nitrate commonly was consumed by aquatic plants in August (leaving dissolved nitrate less than the reporting level in water samples), it is possible that increased nutrient contributions could cause increased growth of aquatic plants. Additional long-term monitoring of the stream, with concurrent data analysis and interpretation would be needed to determine the effects of additional nutrients on the aquatic plant community and on higher levels of the food chain.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135117","collaboration":"Prepared in cooperation with Teton Conservation District","usgsCitation":"Eddy-Miller, C., Peterson, D.A., Wheeler, J.D., Edmiston, C.S., Taylor, M.L., and Leemon, D.J., 2013, Characterization of water quality and biological communities, Fish Creek, Teton County, Wyoming, 2007-2011: U.S. Geological Survey Scientific Investigations Report 2013-5117, Report: x, 76 p.; Downloads Directory, https://doi.org/10.3133/sir20135117.","productDescription":"Report: x, 76 p.; Downloads Directory","numberOfPages":"90","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-042351","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":278058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135117.gif"},{"id":278055,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5117/"},{"id":278056,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5117/pdf/sir2013-5117.pdf"},{"id":278057,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5117/downloads/"}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Fish Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.045942,43.409662 ], [ -111.045942,43.899253 ], [ -110.359812,43.899253 ], [ -110.359812,43.409662 ], [ -111.045942,43.409662 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5243f7cfe4b05b217bad9fe9","contributors":{"authors":[{"text":"Eddy-Miller, Cheryl A.","contributorId":86755,"corporation":false,"usgs":true,"family":"Eddy-Miller","given":"Cheryl A.","affiliations":[],"preferred":false,"id":484534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Jerrod D. 0000-0002-0533-8700 jwheele@usgs.gov","orcid":"https://orcid.org/0000-0002-0533-8700","contributorId":1893,"corporation":false,"usgs":true,"family":"Wheeler","given":"Jerrod","email":"jwheele@usgs.gov","middleInitial":"D.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmiston, C. Scott","contributorId":30595,"corporation":false,"usgs":true,"family":"Edmiston","given":"C.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":484531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Michelle L.","contributorId":35206,"corporation":false,"usgs":true,"family":"Taylor","given":"Michelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leemon, Daniel J.","contributorId":70090,"corporation":false,"usgs":true,"family":"Leemon","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048390,"text":"70048390 - 2013 - Plant responses, climate pivot points, and trade-offs in water-limited ecosystems","interactions":[],"lastModifiedDate":"2013-09-24T15:22:01","indexId":"70048390","displayToPublicDate":"2013-09-24T15:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Plant responses, climate pivot points, and trade-offs in water-limited ecosystems","docAbstract":"Plant species in dryland ecosystems are limited by water availability and may be vulnerable to increases in aridity. Methods are needed to monitor and assess the rate of change in plant abundance and composition in relation to climate, understand the potential for degradation in dryland ecosystems, and forecast future changes in plant species assemblages. I employ nearly a century of vegetation monitoring data from three North American deserts to demonstrate an approach to determine plant species responses to climate and critical points over a range of climatic conditions at which plant species shift from increases to decreases in abundance (climate pivot points). I assess these metrics from a site to regional scale and highlight how these indicators of plant performance can be modified by the physical and biotic environment. For example, shrubs were more responsive to drought and high temperatures on shallow soils with limited capacity to store water and fine-textured soils with slow percolation rates, whereas perennial grasses were more responsive to precipitation in sparse shrublands than in relatively dense grasslands and shrublands, where competition for water is likely more intense. The responses and associated climate pivot points of plant species aligned with their lifespan and structural characteristics, and the relationship between responses and climate pivot points provides evidence of the trade-off between the capacity of a plant species to increase in abundance when water is available and its drought resistance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00132.1","usgsCitation":"Munson, S.M., 2013, Plant responses, climate pivot points, and trade-offs in water-limited ecosystems: Ecosphere, v. 4, no. 9, 15 p., https://doi.org/10.1890/ES13-00132.1.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-042024","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00132.1","text":"Publisher Index Page"},{"id":278051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278044,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00132.1"}],"country":"United States","state":"Arizona;New Mexico;Texas;Utah","otherGeospatial":"Chihuahuan Desert;Colorado Plateau;Sonoran Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.48,28.97 ], [ -111.48,38.86 ], [ -102.84,38.86 ], [ -102.84,28.97 ], [ -111.48,28.97 ] ] ] } } ] }","volume":"4","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-23","publicationStatus":"PW","scienceBaseUri":"5242a696e4b096ee624641d0","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":484514,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048392,"text":"sir20135152 - 2013 - Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11","interactions":[],"lastModifiedDate":"2013-10-30T11:20:10","indexId":"sir20135152","displayToPublicDate":"2013-09-24T15:12:00","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":"2013-5152","title":"Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Tuscaloosa, evaluated the concentrations, loads, and yields of suspended sediment in the tributaries to Lake Tuscaloosa in west-central Alabama, from October 1, 2008, to January 31, 2012. The collection and analysis of these data will facilitate the comparison with historical data, serve as a baseline for future sediment-collection efforts, and help to identify areas of concern. Lake Tuscaloosa, at the reservoir dam, receives runoff from a drainage area of 423 square miles (mi<sup>2</sup>). Basinwide in 2006, forested land was the primary land cover (68 percent). Comparison of historical imagery with the National Land Cover Database (2001 and 2006) indicated that the greatest temporal land-use change was timber harvest. The land cover in 2006 was indicative of this change, with shrub/scrub land (12 percent) being the secondary land use in the basin. Agricultural land use (10 percent) was represented predominantly by hay and pasture or grasslands. Urban land use was minimal, accounting for 4 percent of the entire basin. The remaining 6 percent of the basin has a land use of open water or wetlands. Storm and monthly suspended-sediment samples were collected from seven tributaries to Lake Tuscaloosa: North River, Turkey Creek, Binion Creek, Pole Bridge Creek, Tierce Creek, Carroll Creek, and Brush Creek. Suspended-sediment concentrations and streamflow measurements were statistically analyzed to estimate annual suspended-sediment loads and yields from each of these contributing watersheds. Estimated annual suspended-sediment yields in 2009 were 360, 540, and 840 tons per square mile (tons/mi<sup>2</sup>) at the North River, Turkey Creek, and Carroll Creek streamflow-gaging stations, respectively. Estimated annual suspended-sediment yields in 2010 were 120 and 86 tons/mi<sup>2</sup> at the Binion Creek and Pole Bridge Creek streamflow-gaging stations, respectively. Estimated annual suspended-sediment yields in 2011 were 190 and 300 tons/mi<sup>2</sup> at the Tierce Creek and Brush Creek streamflow-gaging stations, respectively. The North River watershed at the streamflow-gaging station contributes 53 percent of the drainage area for Lake Tuscaloosa. A previous study in the 1970s analyzed streamflow and historical suspended-sediment samples to estimate a long-term average suspended-sediment yield of 300 tons per year per square mile in the North River watershed. Analysis of data collected in the North River watershed during the 2009 water year (October 2008 to September 2009) estimated a sediment yield of 360 tons/mi<sup>2</sup>. The North River watershed, a major portion of the Lake Tuscaloosa drainage basin, has not experienced a substantial increase in sedimentation rates. During the 2009 water year, the Turkey Creek watershed (6.16 mi<sup>2</sup>) and the Carroll Creek watershed (20.9 mi<sup>2</sup>) produced greater suspended-sediment yields than the North River watershed but contribute a much smaller drainage area to Lake Tuscaloosa. Aerial photography and bathymetric surveys indicate that Carroll Creek has experienced increased sediment deposition in the upstream portions of the channel. Carroll Creek is also the only watershed in the current study that has a substantial percentage (11 percent) of urban","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135152","collaboration":"Prepared in cooperation with City of Tuscaloosa","usgsCitation":"Lee, K., 2013, Estimation of sediment inflows to Lake Tuscaloosa, Alabama, 2009-11: U.S. Geological Survey Scientific Investigations Report 2013-5152, viii, 65 p., https://doi.org/10.3133/sir20135152.","productDescription":"viii, 65 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":278054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135152.gif"},{"id":278049,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5152/"},{"id":278050,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5152/pdf/sir2013-5152.pdf"}],"scale":"100000","country":"United States","state":"Alabama","county":"Fayette County;Tuscaloosa County","otherGeospatial":"Lake Tuscaloosa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.952094,32.636200 ], [ -87.952094,33.919871 ], [ -86.427100,33.919871 ], [ -86.427100,32.636200 ], [ -87.952094,32.636200 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a695e4b096ee624641c0","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":484517,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048387,"text":"70048387 - 2013 - A hybrid double-observer sightability model for aerial surveys","interactions":[],"lastModifiedDate":"2013-10-30T10:31:15","indexId":"70048387","displayToPublicDate":"2013-09-24T14:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A hybrid double-observer sightability model for aerial surveys","docAbstract":"Raw counts from aerial surveys make no correction for undetected animals and provide no estimate of precision with which to judge the utility of the counts. Sightability modeling and double-observer (DO) modeling are 2 commonly used approaches to account for detection bias and to estimate precision in aerial surveys. We developed a hybrid DO sightability model (model M<sub>H</sub>) that uses the strength of each approach to overcome the weakness in the other, for aerial surveys of elk (Cervus elaphus). The hybrid approach uses detection patterns of 2 independent observer pairs in a helicopter and telemetry-based detections of collared elk groups. Candidate M<sub>H</sub> models reflected hypotheses about effects of recorded covariates and unmodeled heterogeneity on the separate front-seat observer pair and back-seat observer pair detection probabilities. Group size and concealing vegetation cover strongly influenced detection probabilities. The pilot's previous experience participating in aerial surveys influenced detection by the front pair of observers if the elk group was on the pilot's side of the helicopter flight path. In 9 surveys in Mount Rainier National Park, the raw number of elk counted was approximately 80–93% of the abundance estimated by model M<sub>H</sub>. Uncorrected ratios of bulls per 100 cows generally were low compared to estimates adjusted for detection bias, but ratios of calves per 100 cows were comparable whether based on raw survey counts or adjusted estimates. The hybrid method was an improvement over commonly used alternatives, with improved precision compared to sightability modeling and reduced bias compared to DO modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.612","usgsCitation":"Griffin, P., Lubow, B., Jenkins, K.J., Vales, D.J., Moeller, B.J., Reid, M., Happe, P.J., Mccorquodale, S.M., Tirhi, M.J., Schaberi, J.P., and Beirne, K., 2013, A hybrid double-observer sightability model for aerial surveys: Journal of Wildlife Management, v. 77, no. 8, p. 1532-1544, https://doi.org/10.1002/jwmg.612.","productDescription":"13 p.","startPage":"1532","endPage":"1544","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-045719","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":278043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278038,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.612"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,46.5 ], [ -122.0,47.0 ], [ -121.25,47.0 ], [ -121.25,46.5 ], [ -122.0,46.5 ] ] ] } } ] }","volume":"77","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-09-19","publicationStatus":"PW","scienceBaseUri":"5242a655e4b096ee624641b0","contributors":{"authors":[{"text":"Griffin, Paul C.","contributorId":7802,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul C.","affiliations":[],"preferred":false,"id":484501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lubow, Bruce C.","contributorId":59520,"corporation":false,"usgs":true,"family":"Lubow","given":"Bruce C.","affiliations":[],"preferred":false,"id":484506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":484500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vales, David J.","contributorId":74662,"corporation":false,"usgs":true,"family":"Vales","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moeller, Barbara J.","contributorId":87446,"corporation":false,"usgs":true,"family":"Moeller","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reid, Mason","contributorId":51639,"corporation":false,"usgs":true,"family":"Reid","given":"Mason","affiliations":[],"preferred":false,"id":484504,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":484503,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mccorquodale, Scott M.","contributorId":62921,"corporation":false,"usgs":true,"family":"Mccorquodale","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484507,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tirhi, Michelle J.","contributorId":36839,"corporation":false,"usgs":true,"family":"Tirhi","given":"Michelle","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484502,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schaberi, Jim P.","contributorId":76218,"corporation":false,"usgs":true,"family":"Schaberi","given":"Jim","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484509,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beirne, Katherine","contributorId":58754,"corporation":false,"usgs":true,"family":"Beirne","given":"Katherine","affiliations":[],"preferred":false,"id":484505,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70048388,"text":"ds793 - 2013 - Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas","interactions":[],"lastModifiedDate":"2017-03-29T16:52:39","indexId":"ds793","displayToPublicDate":"2013-09-24T14:21:00","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":"793","title":"Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas","docAbstract":"<p>The U.S. Geological Survey (USGS) in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District has produced a series of annual reports depicting groundwater-level altitudes in the Chicot, Evangeline, and Jasper aquifers of the Gulf Coast aquifer system in the Houston-Galveston region, Texas. To produce these annual reports, contours of equal water-level altitudes are created from water levels measured between December and March of each year from groundwater wells screened completely within one of these three aquifers. Information obtained from maps published in the annual series of USGS reports and geospatial datasets of water-level altitude contours used to create the annual series of USGS reports were compiled into a comprehensive geodatabase. The geospatial compilation contains 88 datasets from previously published contour maps showing water-level altitudes for each primary aquifer of the Gulf Coast aquifer system, 37 for the Chicot (1977&ndash;2013), 37 for the Evangeline aquifer (1977&ndash;2013), and 14 for the Jasper aquifer (2000&ndash;13).</p>\n<p>Maps were georeferenced and digitized where existing geographic information system (GIS) data were unavailable (1977&ndash;89, 1991, 1995&ndash;99). Existing GIS data available for 1990, 1992&ndash;94, and 2000&ndash;13 were included in the geodatabase. The feature classes were organized into three feature datasets by principal aquifer: Chicot, Evangeline, and Jasper aquifers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds793","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Johnson, M., and Ellis, R.H., 2013, Geospatial compilation of historical water-level altitudes in the Chicot and Evangeline aquifers 1977-2013 and Jasper aquifer 2000-13 in the Gulf Coast aquifer system, Houston-Galveston Region, Texas: U.S. Geological Survey Data Series 793, HTML Document; Downloads Directory, https://doi.org/10.3133/ds793.","productDescription":"HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1977-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":278042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds793.PNG"},{"id":278041,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/793/downloads/"},{"id":278040,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/793/"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"Texas","county":"Fort Bend County, Harris County, Montgomery County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.3505859375,\n              29.554345125748267\n            ],\n            [\n              -94.52636718749999,\n              30.031055426540206\n            ],\n            [\n              -94.7021484375,\n              30.29701788337205\n            ],\n            [\n              -94.976806640625,\n              30.675715404167743\n            ],\n            [\n              -95.07568359375,\n              30.829139422013956\n            ],\n            [\n              -95.25970458984374,\n              30.954057859276126\n            ],\n            [\n              -95.614013671875,\n              30.95876857077987\n            ],\n            [\n              -96.064453125,\n              30.798474179567823\n            ],\n            [\n              -96.2841796875,\n              30.64027517241868\n            ],\n            [\n              -96.3446044921875,\n              30.462879341709886\n            ],\n            [\n              -96.2237548828125,\n              30.073847754270204\n            ],\n            [\n              -96.03149414062499,\n              29.410890376109\n            ],\n            [\n              -95.82275390625,\n              29.080175989623203\n            ],\n            [\n              -95.6304931640625,\n              28.9072060763367\n            ],\n            [\n              -95.3558349609375,\n              28.8831596093235\n            ],\n            [\n              -94.7515869140625,\n              29.291189838184863\n            ],\n            [\n              -94.3505859375,\n              29.554345125748267\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a695e4b096ee624641c4","contributors":{"authors":[{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Robert H.H.","contributorId":9170,"corporation":false,"usgs":true,"family":"Ellis","given":"Robert","email":"","middleInitial":"H.H.","affiliations":[],"preferred":false,"id":484512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154866,"text":"70154866 - 2013 - Evaluating changes to reservoir rule curves using historical water-level data","interactions":[],"lastModifiedDate":"2015-07-10T11:41:13","indexId":"70154866","displayToPublicDate":"2013-09-24T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3876,"text":"International Journal of River Basin Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating changes to reservoir rule curves using historical water-level data","docAbstract":"<p>Flood control reservoirs are typically managed through rule curves (i.e. target water levels) which control the storage and release timing of flood waters. Changes to rule curves are often contemplated and requested by various user groups and management agencies with no information available about the actual flood risk of such requests. Methods of estimating flood risk in reservoirs are not easily available to those unfamiliar with hydrological models that track water movement through a river basin. We developed a quantile regression model that uses readily available daily water-level data to estimate risk of spilling. Our model provided a relatively simple process for estimating the maximum applicable water level under a specific flood risk for any day of the year. This water level represents an upper-limit umbrella under which water levels can be operated in a variety of ways. Our model allows the visualization of water-level management under a user-specified flood risk and provides a framework for incorporating the effect of a changing environment on water-level management in reservoirs, but is not designed to replace existing hydrological models. The model can improve communication and collaboration among agencies responsible for managing natural resources dependent on reservoir water levels.</p>","language":"English","publisher":"International Association of Hydraulic Engineering and Research","publisherLocation":"Madrid, Spain","doi":"10.1080/15715124.2013.823979","usgsCitation":"Mower, E., and Miranda, L.E., 2013, Evaluating changes to reservoir rule curves using historical water-level data: International Journal of River Basin Management, v. 11, no. 3, p. 323-328, https://doi.org/10.1080/15715124.2013.823979.","productDescription":"6 p.","startPage":"323","endPage":"328","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048954","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecb1e4b0183d66e43039","contributors":{"authors":[{"text":"Mower, Ethan","contributorId":143702,"corporation":false,"usgs":false,"family":"Mower","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":564617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564293,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048381,"text":"sir20135132 - 2013 - Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:21:01","indexId":"sir20135132","displayToPublicDate":"2013-09-24T12:36:00","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":"2013-5132","title":"Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12","docAbstract":"Fourteen monitoring wells completed in the Uinta and Green River Formations in the Piceance Creek and Yellow Creek watersheds in Rio Blanco County, Colorado, were sampled for chemical, isotopic, and groundwater-age tracers to provide information on the overall groundwater quality, the occurrence and distribution of chemicals that could be related to the development of underlying natural-gas reservoirs, and to better understand groundwater residence times in the flow system. Methane concentrations in groundwater ranged from less than 0.0005 to 387 milligrams per liter. The methane was predominantly biogenic in origin, although the biogenic methane was mixed with thermogenic methane in water from seven wells. Three BTEX compounds (benzene, toluene, and ethylbenzene) were detected in water from six of the wells, but none of the concentrations exceeded Federal drinking-water standards. The presence of thermogenic methane in the aquifers indicates a connection and vulnerability to chemicals in deeper geologic units. Helium-4 data indicate that groundwater had ages ranging from less than 1,000 years to greater than 50,000 years. The presence of old groundwater in parts of the aquifers indicates that these aquifers may not be useful for large-scale water supply because of low recharge rates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135132","collaboration":"Prepared in cooperation with the Bureau of Land Management, White River Field Office","usgsCitation":"McMahon, P., Thomas, J., and Hunt, A., 2013, Chemistry and age of groundwater in bedrock aquifers of the Piceance and Yellow Creek watersheds, Rio Blanco County, Colorado, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5132, viii, 86 p., https://doi.org/10.3133/sir20135132.","productDescription":"viii, 86 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70048381.gif"},{"id":278035,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5132/"},{"id":278034,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5132/pdf/sir2013-5132.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator, Zone 13 North","country":"United States","state":"Colorado","county":"Rio Blanco County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.882751,39.627375 ], [ -108.882751,40.110113 ], [ -107.998352,40.110113 ], [ -107.998352,39.627375 ], [ -108.882751,39.627375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f241e4b0bc0bec0a028c","contributors":{"authors":[{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":484486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, J.C.","contributorId":95435,"corporation":false,"usgs":true,"family":"Thomas","given":"J.C.","affiliations":[],"preferred":false,"id":484488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, A.G.","contributorId":68691,"corporation":false,"usgs":true,"family":"Hunt","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":484487,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048380,"text":"fs20133047 - 2013 - Chemistry and age of groundwater in the Piceance structural basin, Rio Blanco county, Colorado, 2010-12","interactions":[],"lastModifiedDate":"2013-09-24T12:40:44","indexId":"fs20133047","displayToPublicDate":"2013-09-24T12:33:00","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":"2013-3047","title":"Chemistry and age of groundwater in the Piceance structural basin, Rio Blanco county, Colorado, 2010-12","docAbstract":"Fourteen monitoring wells were sampled by the U.S. Geological Survey, in cooperation with the Bureau of Land Management, to better understand the chemistry and age of groundwater in the Piceance structural basin in Rio Blanco County, Colorado, and how they may relate to the development of underlying natural-gas reservoirs. Natural gas extraction in the area has been ongoing since at least the 1950s, and the area contains about 960 producing, shut-in, and abandoned natural-gas wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133047","usgsCitation":"McMahon, P.B., Thomas, J.C., and Hunt, A.G., 2013, Chemistry and age of groundwater in the Piceance structural basin, Rio Blanco county, Colorado, 2010-12: U.S. Geological Survey Fact Sheet 2013-3047, 6 p., https://doi.org/10.3133/fs20133047.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","temporalStart":"2010-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133047.PNG"},{"id":278032,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3047/pdf/fs2013-3047.pdf"},{"id":278031,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3047/"}],"country":"United States","state":"Colorado","county":"Rio Blanco County","otherGeospatial":"Piceance Structural Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.75,39.666667 ], [ -108.75,40.166667 ], [ -107.75,40.166667 ], [ -107.75,39.666667 ], [ -108.75,39.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a693e4b096ee624641b8","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":484485,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048370,"text":"70048370 - 2013 - Is exposure to cyanobacteria an environmental risk factor for amyotrophic lateral sclerosis and other neurodegenerative diseases?","interactions":[],"lastModifiedDate":"2013-09-24T10:43:38","indexId":"70048370","displayToPublicDate":"2013-09-24T10:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":755,"text":"Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration","active":true,"publicationSubtype":{"id":10}},"title":"Is exposure to cyanobacteria an environmental risk factor for amyotrophic lateral sclerosis and other neurodegenerative diseases?","docAbstract":"There is a broad scientific consensus that amyotrophic lateral sclerosis (ALS) is caused by gene-environment interactions. Mutations in genes underlying familial ALS (fALS) have been discovered in only 5–10% of the total population of ALS patients. Relatively little attention has been paid to environmental and lifestyle factors that may trigger the cascade of motor neuron death leading to the syndrome of ALS, although exposure to chemicals including lead and pesticides, and to agricultural environments, smoking, certain sports, and trauma have all been identified with an increased risk of ALS. There is a need for research to quantify the relative roles of each of the identified risk factors for ALS. Recent evidence has strengthened the theory that chronic environmental exposure to the neurotoxic amino acid β-N-methylamino-L-alanine (BMAA) produced by cyanobacteria may be an environmental risk factor for ALS. Here we describe methods that may be used to assess exposure to cyanobacteria, and hence potentially to BMAA, namely an epidemiologic questionnaire and direct and indirect methods for estimating the cyanobacterial load in ecosystems. Rigorous epidemiologic studies could determine the risks associated with exposure to cyanobacteria, and if combined with genetic analysis of ALS cases and controls could reveal etiologically important gene-environment interactions in genetically vulnerable individuals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Informa Healthcare","doi":"10.3109/21678421.2012.750364","usgsCitation":"Bradley, W.G., Borenstein, A.R., Nelson, L.M., Codd, G.A., Rosen, B.H., Stommel, E.W., and Cox, P.A., 2013, Is exposure to cyanobacteria an environmental risk factor for amyotrophic lateral sclerosis and other neurodegenerative diseases?: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, v. 14, no. 5-6, p. 325-333, https://doi.org/10.3109/21678421.2012.750364.","productDescription":"9 p.","startPage":"325","endPage":"333","numberOfPages":"9","ipdsId":"IP-040918","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":278028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278027,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3109/21678421.2012.750364"}],"volume":"14","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2013-01-04","publicationStatus":"PW","scienceBaseUri":"5242a696e4b096ee624641cc","contributors":{"authors":[{"text":"Bradley, Walter G.","contributorId":64152,"corporation":false,"usgs":true,"family":"Bradley","given":"Walter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":484459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borenstein, Amy R.","contributorId":66165,"corporation":false,"usgs":true,"family":"Borenstein","given":"Amy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Lorene M.","contributorId":64552,"corporation":false,"usgs":true,"family":"Nelson","given":"Lorene","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Codd, Geoffrey A.","contributorId":8757,"corporation":false,"usgs":true,"family":"Codd","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":484457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stommel, Elijah W.","contributorId":64992,"corporation":false,"usgs":true,"family":"Stommel","given":"Elijah","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":484461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cox, Paul Alan","contributorId":64993,"corporation":false,"usgs":true,"family":"Cox","given":"Paul","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":484462,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048369,"text":"70048369 - 2013 - Diel horizontal migration in streams: juvenile fish exploit spatial heterogeneity in thermal and trophic resources","interactions":[],"lastModifiedDate":"2013-09-24T10:36:00","indexId":"70048369","displayToPublicDate":"2013-09-24T10:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Diel horizontal migration in streams: juvenile fish exploit spatial heterogeneity in thermal and trophic resources","docAbstract":"Vertical heterogeneity in the physical characteristics of lakes and oceans is ecologically salient and exploited by a wide range of taxa through diel vertical migration to enhance their growth and survival. Whether analogous behaviors exploit horizontal habitat heterogeneity in streams is largely unknown. We investigated fish movement behavior at daily timescales to explore how individuals integrated across spatial variation in food abundance and water temperature. Juvenile coho salmon made feeding forays into cold habitats with abundant food, and then moved long distances (350–1300 m) to warmer habitats that accelerated their metabolism and increased their assimilative capacity. This behavioral thermoregulation enabled fish to mitigate trade-offs between trophic and thermal resources by exploiting thermal heterogeneity. Fish that exploited thermal heterogeneity grew at substantially faster rates than did individuals that assumed other behaviors. Our results provide empirical support for the importance of thermal diversity in lotic systems, and emphasize the importance of considering interactions between animal behavior and habitat heterogeneity when managing and restoring ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Ecological Society of America","doi":"10.1890/12-1200.1","usgsCitation":"Armstrong, J., Schindler, D.E., Ruff, C.P., Brooks, G.T., Bentley, K., and Torgersen, C., 2013, Diel horizontal migration in streams: juvenile fish exploit spatial heterogeneity in thermal and trophic resources: Ecology, v. 94, no. 9, p. 2066-2075, https://doi.org/10.1890/12-1200.1.","productDescription":"10 p.","startPage":"2066","endPage":"2075","numberOfPages":"10","ipdsId":"IP-045091","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":278026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1200.1"}],"country":"United States","state":"Alaska","otherGeospatial":"Wood River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.4644,58.6596 ], [ -159.4644,59.7518 ], [ -156.6125,59.7518 ], [ -156.6125,58.6596 ], [ -159.4644,58.6596 ] ] ] } } ] }","volume":"94","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a694e4b096ee624641bc","contributors":{"authors":[{"text":"Armstrong, Jonathan B.","contributorId":98567,"corporation":false,"usgs":true,"family":"Armstrong","given":"Jonathan B.","affiliations":[],"preferred":false,"id":484456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruff, Casey P.","contributorId":13065,"corporation":false,"usgs":true,"family":"Ruff","given":"Casey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Gabriel T.","contributorId":27713,"corporation":false,"usgs":true,"family":"Brooks","given":"Gabriel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":484452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bentley, Kale E.","contributorId":60942,"corporation":false,"usgs":true,"family":"Bentley","given":"Kale E.","affiliations":[],"preferred":false,"id":484454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":484453,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046905,"text":"70046905 - 2013 - Identification of unrecognized tundra fire events on the north slope of Alaska","interactions":[],"lastModifiedDate":"2014-01-15T10:03:19","indexId":"70046905","displayToPublicDate":"2013-09-24T09:54:07","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Identification of unrecognized tundra fire events on the north slope of Alaska","docAbstract":"Characteristics of the natural fire regime are poorly resolved in the Arctic, even though fire may play an important role cycling carbon stored in tundra vegetation and soils to the atmosphere. In the course of studying vegetation and permafrost-terrain characteristics along a chronosequence of tundra burn sites from AD 1977, 1993, and 2007 on the North Slope of Alaska, we discovered two large, previously unrecognized tundra fires. The Meade River fire burned an estimated 500 km<sup>2</sup> and the Ketik River fire burned an estimated 1200 km<sup>2</sup>. Based on radiocarbon dating of charred twigs, analysis of historic aerial photography, and regional climate proxy data, these fires likely occurred between AD 1880 and 1920. Together, these events double the estimated burn area on the North Slope of Alaska over the last ~100 to 130 years. Assessment of vegetation succession along the century-scale chronosequence of tundra fire disturbances demonstrates for the first time on the North Slope of Alaska that tundra fires can facilitate the invasion of tundra by shrubs. Degradation of ice-rich permafrost was also evident at the fire sites and likely aided in the presumed changes of the tundra vegetation postfire. Other previously unrecognized tundra fire events likely exist in Alaska and other Arctic regions and identification of these sites is important for better understanding disturbance regimes and carbon cycling in Arctic tundra.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/jgrg.20113","usgsCitation":"Jones, B.M., Breen, A.L., Gaglioti, B.V., Mann, D.H., Rocha, A.V., Grosse, G., Arp, C.D., Kunz, M.L., and Walker, D.A., 2013, Identification of unrecognized tundra fire events on the north slope of Alaska: Journal of Geophysical Research: Biogeosciences, v. 118, no. 3, p. 1334-1344, https://doi.org/10.1002/jgrg.20113.","productDescription":"11 p.","startPage":"1334","endPage":"1344","numberOfPages":"11","ipdsId":"IP-046442","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":281070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281069,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrg.20113"}],"country":"United States","state":"Alaska","otherGeospatial":"Meade River;North Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -165.0,68.0 ], [ -165.0,71.75 ], [ -147.0,71.75 ], [ -147.0,68.0 ], [ -165.0,68.0 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-09-24","publicationStatus":"PW","scienceBaseUri":"53cd61f1e4b0b290850fddc4","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":480584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breen, Amy L.","contributorId":81396,"corporation":false,"usgs":true,"family":"Breen","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":480585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mann, Daniel H.","contributorId":67010,"corporation":false,"usgs":true,"family":"Mann","given":"Daniel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":480589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rocha, Adrian V.","contributorId":25433,"corporation":false,"usgs":true,"family":"Rocha","given":"Adrian","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":480587,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":480592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":480586,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kunz, Michael L.","contributorId":50820,"corporation":false,"usgs":true,"family":"Kunz","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480588,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walker, Donald A.","contributorId":100022,"corporation":false,"usgs":true,"family":"Walker","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480591,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70126613,"text":"70126613 - 2013 - Response of cackling geese (<i>Branta hutchinsii taverneri</i> to spatial and temporal variation in production of crowberries on the Alaska Peninsula","interactions":[],"lastModifiedDate":"2018-06-12T21:18:27","indexId":"70126613","displayToPublicDate":"2013-09-24T08:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Response of cackling geese (<i>Branta hutchinsii taverneri</i> to spatial and temporal variation in production of crowberries on the Alaska Peninsula","docAbstract":"Arctic geese often feed on berries during premigratory fattening. We hypothesized that during autumn staging on the Alaska Peninsula, the distribution of Taverne's cackling geese (<i>Branta hutchinsii taverneri</i>) would be correlated with spatial variation in crowberry (<i>Empetrum nigrum</i>) abundance. We also predicted that daily rates of fat increase among cackling geese would be higher in years when crowberries were abundant, compared to years when the crowberry crop was poor. Apparent distribution of geese based on fecal densities mirrored patterns of berry abundance, with areas that had highest densities of crowberries being used most heavily by geese. In areas where apparent use was greatest, geese consumed approximately 30 % of the berry crop between early September and mid-October. From 1999 to 2002, annual mean crowberry density in early September ranged from 205 berries m<sup>-2</sup> (1999) to 12 berries m<sup>-2</sup> (2002). Daily rates of lipid increase averaged 7.6 g day<sup>-1</sup> for juvenile and 11.4 g<sup>-1</sup> day for adult cackling geese and did not differ among years despite a >90 % difference in annual berry abundance. Although cackling geese used areas with higher densities of berries and apparently consumed a relatively large percentage of the crowberry crop, we could not detect an effect of annual variation in berry abundance on rates of fattening. Berries may have provided relatively little metabolizable biomass due to their high (90 %) water content. However, consumption of crowberries may provide geese with other physiological benefits such as water for osmoregulation or antioxidants and fatty acids that contribute to metabolic performance during migration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Polar Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00300-013-1343-3","usgsCitation":"Hupp, J.W., Safine, D.E., and Nielson, R.M., 2013, Response of cackling geese (<i>Branta hutchinsii taverneri</i> to spatial and temporal variation in production of crowberries on the Alaska Peninsula: Polar Biology, v. 36, no. 9, p. 1243-1255, https://doi.org/10.1007/s00300-013-1343-3.","productDescription":"13 p.","startPage":"1243","endPage":"1255","ipdsId":"IP-044787","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":294406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294404,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00300-013-1343-3"},{"id":294405,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s00300-013-1343-3"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaskan Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -162.61,55.1 ], [ -162.61,59.78 ], [ -153.42,59.78 ], [ -153.42,55.1 ], [ -162.61,55.1 ] ] ] } } ] }","volume":"36","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-05-30","publicationStatus":"PW","scienceBaseUri":"5423dd23e4b037b608f9d459","contributors":{"authors":[{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Safine, David E.","contributorId":106820,"corporation":false,"usgs":true,"family":"Safine","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":502136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nielson, Ryan M.","contributorId":78971,"corporation":false,"usgs":false,"family":"Nielson","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":502135,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048365,"text":"ofr20131247 - 2013 - Habitat quality and recruitment success of cui-ui in the Truckee River downstream of Marble Bluff Dam, Pyramid Lake, Nevada","interactions":[],"lastModifiedDate":"2013-09-24T07:58:59","indexId":"ofr20131247","displayToPublicDate":"2013-09-24T07:29:37","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":"2013-1247","title":"Habitat quality and recruitment success of cui-ui in the Truckee River downstream of Marble Bluff Dam, Pyramid Lake, Nevada","docAbstract":"We compared cui-ui (Chasmistes cujus) recruitment from two reaches of the Truckee River with histories of severe erosional downcutting caused by a decline in Pyramid Lake surface elevation. In 1975, Marble Bluff Dam (MBD) was constructed 5 kilometers upstream of the extant mouth of the Truckee River to stabilize the upstream reach of the river; the downstream reach of the river remained unstable and consequently unsuitable for cui-ui recruitment. By the early 2000s, there was a decrease in the Truckee River’s slope from MBD to Pyramid Lake after a series of wet years in the 1990s. This was followed by changes in river morphology and erosion abatement. These changes led to the question as to cui-ui recruitment potential in the Truckee River downstream of MBD. In 2012, more than 7,000 cui-ui spawners were passed upstream of MBD, although an indeterminate number of cui-ui spawned downstream of MBD. In this study, we compared cui-ui recruitment upstream and downstream of MBD during a Truckee River low-flow year (2012). Cui-ui larvae emigration to Pyramid Lake began earlier and ended later downstream of MBD. A greater number of cui-ui larvae was produced downstream of MBD than upstream. This also was true for native Tahoe sucker (Catostomus tahoensis) and Lahontan redside (Richardsonius egregius). The improved Truckee River stability downstream of MBD and concomitant cui-ui recruitment success is attributed to a rise in Pyramid Lake's surface elevation. A decline in lake elevation may lead to a shift in stream morphology and substrate composition to the detriment of cui-ui reproductive success as well as the reproductive success of other native fishes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131247","usgsCitation":"Scoppettone, G.G., Rissler, P.H., Salgado, J.A., and Harry, B., 2013, Habitat quality and recruitment success of cui-ui in the Truckee River downstream of Marble Bluff Dam, Pyramid Lake, Nevada: U.S. Geological Survey Open-File Report 2013-1247, iv, 22 p., https://doi.org/10.3133/ofr20131247.","productDescription":"iv, 22 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-049986","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":278020,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1247/"},{"id":278021,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1247/pdf/ofr2013-1247.pdf"},{"id":278022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131247.png"}],"country":"United States","state":"Nevada","otherGeospatial":"Marble Bluff Dam;Pyramid Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.70,39.84 ], [ -119.70,40.20 ], [ -119.41,40.20 ], [ -119.41,39.84 ], [ -119.70,39.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5242a695e4b096ee624641c8","contributors":{"authors":[{"text":"Scoppettone, G. Gary","contributorId":61137,"corporation":false,"usgs":true,"family":"Scoppettone","given":"G.","email":"","middleInitial":"Gary","affiliations":[],"preferred":false,"id":484434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rissler, Peter H. peter_rissler@usgs.gov","contributorId":4508,"corporation":false,"usgs":true,"family":"Rissler","given":"Peter","email":"peter_rissler@usgs.gov","middleInitial":"H.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":484431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salgado, J. Antonio","contributorId":33214,"corporation":false,"usgs":true,"family":"Salgado","given":"J.","email":"","middleInitial":"Antonio","affiliations":[],"preferred":false,"id":484432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harry, Beverly","contributorId":38889,"corporation":false,"usgs":true,"family":"Harry","given":"Beverly","email":"","affiliations":[],"preferred":false,"id":484433,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048362,"text":"sir20135075 - 2013 - Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models","interactions":[],"lastModifiedDate":"2013-09-23T16:01:07","indexId":"sir20135075","displayToPublicDate":"2013-09-23T15:42:00","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":"2013-5075","title":"Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models","docAbstract":"Mitigating the effects of salt and selenium on water quality in the Grand Valley and lower Gunnison River Basin in western Colorado is a major concern for land managers. Previous modeling indicated means to improve the models by including more detailed geospatial data and a more rigorous method for developing the models. After evaluating all possible combinations of geospatial variables, four multiple linear regression models resulted that could estimate irrigation-season salt yield, nonirrigation-season salt yield, irrigation-season selenium yield, and nonirrigation-season selenium yield. The adjusted r-squared and the residual standard error (in units of log-transformed yield) of the models were, respectively, 0.87 and 2.03 for the irrigation-season salt model, 0.90 and 1.25 for the nonirrigation-season salt model, 0.85 and 2.94 for the irrigation-season selenium model, and 0.93 and 1.75 for the nonirrigation-season selenium model. The four models were used to estimate yields and loads from contributing areas corresponding to 12-digit hydrologic unit codes in the lower Gunnison River Basin study area. Each of the 175 contributing areas was ranked according to its estimated mean seasonal yield of salt and selenium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135075","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Colorado River Water Conservation District","usgsCitation":"Linard, J.I., 2013, Ranking contributing areas of salt and selenium in the Lower Gunnison River Basin, Colorado, using multiple linear regression models: U.S. Geological Survey Scientific Investigations Report 2013-5075, v, 45 p., https://doi.org/10.3133/sir20135075.","productDescription":"v, 45 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":278018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135075.gif"},{"id":278016,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5075/pdf/SIR13-5075.pdf"},{"id":278017,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5075/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0009,37.762 ], [ -109.0009,39.5273 ], [ -107.037,39.5273 ], [ -107.037,37.762 ], [ -109.0009,37.762 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fae4b0ec672f073ab7","contributors":{"authors":[{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484420,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}