{"pageNumber":"1863","pageRowStart":"46550","pageSize":"25","recordCount":184982,"records":[{"id":70043154,"text":"70043154 - 2010 - HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region","interactions":[],"lastModifiedDate":"2021-01-22T16:06:01.267169","indexId":"70043154","displayToPublicDate":"2013-05-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2790,"text":"Mountain Research and Development","active":true,"publicationSubtype":{"id":10}},"title":"HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region","docAbstract":"Glaciers are the largest reservoir of freshwater on Earth, supporting one third of the world's population. The Himalaya possess one of the largest resources of snow and ice, which act as a freshwater reservoir for more than 1.3 billion people. This article describes a new project called HIMALA, which focuses on utilizing satellite-based products for better understanding of hydrological processes of the river basins of the region. With support from the US Agency for International Development (USAID), the International Centre for Integrated Mountain Development (ICIMOD), together with its partners and member countries, has been working on the application of satellite-based rainfall estimates for flood prediction. The US National Aeronautics and Space Administration (NASA) partners are working with ICIMOD to incorporate snowmelt and glacier melt into a widely used hydrological model. Thus, through improved modeling of the contribution of snow and ice meltwater to river flow in the region, the HIMALA project will improve the ability of ICIMOD and its partners to understand the impact of weather and climate on floods, droughts, and other water- and climate-induced natural hazards in the Himalayan region in Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal, and Pakistan.","language":"English","publisher":"International Mountain Society","publisherLocation":"Bern, Switzerland","doi":"10.1659/MRD-JOURNAL-D-10-00071.1","usgsCitation":"Brown, M.E., Ouyang, H., Habib, S., Shrestha, B., Shrestha, M., Panday, P., Tzortziou, M., Policelli, F., Artan, G.A., Giriraj, A., Bajracharya, S.R., and Racoviteanu, A., 2010, HIMALA: climate impacts on glaciers, snow, and hydrology in the Himalayan region: Mountain Research and Development, v. 30, no. 4, p. 401-404, https://doi.org/10.1659/MRD-JOURNAL-D-10-00071.1.","productDescription":"4 p.","startPage":"401","endPage":"404","additionalOnlineFiles":"Y","ipdsId":"IP-025245","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1659/mrd-journal-d-10-00071.1","text":"Publisher Index Page"},{"id":271848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bhutan, China, India, Nepal, Pakistan","otherGeospatial":"Himalayas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 72.89,26.61 ], [ 72.89,35.92 ], [ 95.41,35.92 ], [ 95.41,26.61 ], [ 72.89,26.61 ] ] ] } } ] }","volume":"30","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5187716be4b078fc9c244b5b","contributors":{"authors":[{"text":"Brown, Molly Elizabeth","contributorId":50066,"corporation":false,"usgs":true,"family":"Brown","given":"Molly","email":"","middleInitial":"Elizabeth","affiliations":[],"preferred":false,"id":473061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ouyang, Hua","contributorId":42505,"corporation":false,"usgs":true,"family":"Ouyang","given":"Hua","email":"","affiliations":[],"preferred":false,"id":473059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Habib, Shahid","contributorId":103952,"corporation":false,"usgs":true,"family":"Habib","given":"Shahid","email":"","affiliations":[],"preferred":false,"id":473069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, Basanta","contributorId":69036,"corporation":false,"usgs":true,"family":"Shrestha","given":"Basanta","email":"","affiliations":[],"preferred":false,"id":473064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Mandira","contributorId":87051,"corporation":false,"usgs":true,"family":"Shrestha","given":"Mandira","email":"","affiliations":[],"preferred":false,"id":473068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Panday, Prajjwal","contributorId":60520,"corporation":false,"usgs":true,"family":"Panday","given":"Prajjwal","email":"","affiliations":[],"preferred":false,"id":473063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tzortziou, Maria","contributorId":55309,"corporation":false,"usgs":true,"family":"Tzortziou","given":"Maria","email":"","affiliations":[],"preferred":false,"id":473062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Policelli, Frederick","contributorId":69440,"corporation":false,"usgs":true,"family":"Policelli","given":"Frederick","email":"","affiliations":[],"preferred":false,"id":473065,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473066,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Giriraj, Amarnath","contributorId":75414,"corporation":false,"usgs":true,"family":"Giriraj","given":"Amarnath","email":"","affiliations":[],"preferred":false,"id":473067,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bajracharya, Sagar R.","contributorId":44443,"corporation":false,"usgs":true,"family":"Bajracharya","given":"Sagar","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":473060,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Racoviteanu, Adina","contributorId":21049,"corporation":false,"usgs":true,"family":"Racoviteanu","given":"Adina","email":"","affiliations":[],"preferred":false,"id":473058,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70044480,"text":"70044480 - 2010 - A model for Iapetan rifting of Laurentia based on Neoproterozoic dikes and related rocks","interactions":[],"lastModifiedDate":"2013-04-04T15:22:53","indexId":"70044480","displayToPublicDate":"2013-04-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1726,"text":"GSA Memoirs","active":true,"publicationSubtype":{"id":10}},"title":"A model for Iapetan rifting of Laurentia based on Neoproterozoic dikes and related rocks","docAbstract":"Geologic evidence of the Neoproterozoic rifting of Laurentia during breakup of Rodinia is recorded in basement massifs of the cratonic margin by dike swarms, volcanic and plutonic rocks, and rift-related clastic sedimentary sequences. The spatial and temporal distribution of these geologic features varies both within and between the massifs but preserves evidence concerning the timing and nature of rifting. The most salient features include: (1) a rift-related magmatic event recorded in the French Broad massif and the southern and central Shenandoah massif that is distinctly older than that recorded in the northern Shenandoah massif and northward; (2) felsic volcanic centers at the north ends of both French Broad and Shenandoah massifs accompanied by dike swarms; (3) differences in volume between massifs of cover-sequence volcanic rocks and rift-related clastic rocks; and (4) WNW orientation of the Grenville dike swarm in contrast to the predominately NE orientation of other Neoproterozoic dikes. Previously proposed rifting mechanisms to explain these features include rift-transform and plume–triple-junction systems. The rift-transform system best explains features 1, 2, and 3, listed here, and we propose that it represents the dominant rifting mechanism for most of the Laurentian margin. To explain feature 4, as well as magmatic ages and geochemical trends in the Northern Appalachians, we propose that a plume–triple-junction system evolved into the rift-transform system. A ca. 600 Ma mantle plume centered east of the Sutton Mountains generated the radial dike swarm of the Adirondack massif and the Grenville dike swarm, and a collocated triple junction generated the northern part of the rift-transform system. An eastern branch of this system produced the Long Range dike swarm in Newfoundland, and a subsequent western branch produced the ca. 554 Ma Tibbit Hill volcanics and the ca. 550 Ma rift-related magmatism of Newfoundland.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Memoirs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2010.1206(20)","usgsCitation":"Burton, W.C., and Southworth, S., 2010, A model for Iapetan rifting of Laurentia based on Neoproterozoic dikes and related rocks: GSA Memoirs, v. 206, p. 455-476, https://doi.org/10.1130/2010.1206(20).","productDescription":"22 p.","startPage":"455","endPage":"476","ipdsId":"IP-016466","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270584,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/2010.1206(20)"}],"country":"Canada;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,83.1 ], [ -52.6,83.1 ], [ -52.6,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"206","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515e92f2e4b088aa22580912","contributors":{"authors":[{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":475697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Southworth, Scott","contributorId":93933,"corporation":false,"usgs":true,"family":"Southworth","given":"Scott","affiliations":[],"preferred":false,"id":475698,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042341,"text":"70042341 - 2010 - Understanding behavioral responses of fish to pheromones in natural freshwater environments","interactions":[],"lastModifiedDate":"2013-01-10T15:59:54","indexId":"70042341","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2225,"text":"Journal of Comparative Physiology A","active":true,"publicationSubtype":{"id":10}},"title":"Understanding behavioral responses of fish to pheromones in natural freshwater environments","docAbstract":"There is an abundance of experimental studies and reviews that describe odorant-mediated behaviors of fish in laboratory microcosms, but research in natural field conditions has received considerably less attention. Fish pheromone studies in laboratory settings can be highly productive and allow for controlled experimental designs; however, laboratory tanks and flumes often cannot replicate all the physical, physiological and social contexts associated with natural environments. Field experiments can be a critical step in affirming and enhancing understanding of laboratory discoveries and often implicate the ecological significance of pheromones employed by fishes. When findings from laboratory experiments have been further tested in field environments, often different and sometimes contradictory conclusions are found. Examples include studies of sea lamprey (Petromyzon marinus) mating pheromones and fish alarm substances. Here, we review field research conducted on fish pheromones and alarm substances, highlighting the following topics: (1) contradictory results obtained in laboratory and field experiments, (2) how environmental context and physiological status influences behavior, (3) challenges and constraints of aquatic field research and (4) innovative techniques and experimental designs that advance understanding of fish chemical ecology through field research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Comparative Physiology A","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00359-010-0523-7","usgsCitation":"Johnson, N.S., and Li, W., 2010, Understanding behavioral responses of fish to pheromones in natural freshwater environments: Journal of Comparative Physiology A, v. 196, no. 10, p. 701-711, https://doi.org/10.1007/s00359-010-0523-7.","productDescription":"11 p.","startPage":"701","endPage":"711","numberOfPages":"11","ipdsId":"IP-017172","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":265529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265527,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00359-010-0523-7"}],"country":"United States","volume":"196","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-03-30","publicationStatus":"PW","scienceBaseUri":"53cd7a2ee4b0b2908510d51d","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":471343,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042496,"text":"70042496 - 2010 - Viscoelastic-cycle model of interseismic deformation in the northwestern United States","interactions":[],"lastModifiedDate":"2013-01-10T14:48:14","indexId":"70042496","displayToPublicDate":"2013-01-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Viscoelastic-cycle model of interseismic deformation in the northwestern United States","docAbstract":"We apply a viscoelastic cycle model to a compilation of GPS velocity fields in order to address the kinematics of deformation in the northwestern United States. A viscoelastic cycle model accounts for time-dependent deformation following large crustal earthquakes and is an alternative to block models for explaining the interseismic crustal velocity field. Building on the approach taken in Pollitz et al., we construct a deformation model for the entire western United States-based on combined fault slip and distributed deformation-and focus on the implications for the Mendocino triple junction (MTJ), Cascadia megathrust, and western Washington. We find significant partitioning between strike-slip and dip-slip motion near the MTJ as the tectonic environment shifts from northwest-directed shear along the San Andreas fault system to east-west convergence along the Juan de Fuca Plate. By better accounting for the budget of aseismic and seismic slip along the Cascadia subduction interface in conjunction with an assumed rheology, we revise a previous model of slip for the M~ 9 1700 Cascadia earthquake. In western Washington, we infer slip rates on a number of strike-slip and dip-slip faults that accommodate northward convergence of the Oregon Coast block and northwestward convergence of the Juan de Fuca Plate. Lateral variations in first order mechanical properties (e.g. mantle viscosity, vertically averaged rigidity) explain, to a large extent, crustal strain that cannot be rationalized with cyclic deformation on a laterally homogeneous viscoelastic structure. Our analysis also shows that present crustal deformation measurements, particularly with the addition of the Plate Boundary Observatory, can constrain such lateral variations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-246X.2010.04546.x","usgsCitation":"Pollitz, F., McCrory, P., Wilson, D., Svarc, J., Puskas, C., and Smith, R.B., 2010, Viscoelastic-cycle model of interseismic deformation in the northwestern United States: Geophysical Journal International, v. 181, no. 2, p. 665-696, https://doi.org/10.1111/j.1365-246X.2010.04546.x.","productDescription":"32 p.","startPage":"665","endPage":"696","numberOfPages":"32","ipdsId":"IP-013321","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2010.04546.x","text":"Publisher Index Page"},{"id":265514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265513,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2010.04546.x"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,49.99 ], [ -107.36,49.99 ], [ -107.36,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"181","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7b1ee4b0b2908510dece","contributors":{"authors":[{"text":"Pollitz, F. F.","contributorId":108280,"corporation":false,"usgs":true,"family":"Pollitz","given":"F. F.","affiliations":[],"preferred":false,"id":471650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCrory, Patricia","contributorId":96560,"corporation":false,"usgs":true,"family":"McCrory","given":"Patricia","affiliations":[],"preferred":false,"id":471649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Doug","contributorId":7581,"corporation":false,"usgs":true,"family":"Wilson","given":"Doug","email":"","affiliations":[],"preferred":false,"id":471645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svarc, Jerry","contributorId":82012,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","affiliations":[],"preferred":false,"id":471647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puskas, Christine","contributorId":17109,"corporation":false,"usgs":true,"family":"Puskas","given":"Christine","email":"","affiliations":[],"preferred":false,"id":471646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Robert B.","contributorId":90824,"corporation":false,"usgs":true,"family":"Smith","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471648,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047525,"text":"70047525 - 2010 - Correction to “Constraints on the stress state of the San Andreas Fault with analysis based on core and cuttings from San Andreas Fault Observatory at Depth (SAFOD) drilling phases 1 and 2”","interactions":[],"lastModifiedDate":"2019-07-17T16:29:56","indexId":"70047525","displayToPublicDate":"2013-01-01T17:12:39","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Correction to “Constraints on the stress state of the San Andreas Fault with analysis based on core and cuttings from San Andreas Fault Observatory at Depth (SAFOD) drilling phases 1 and 2”","docAbstract":"This article corrects: Constraints on the stress state of the San Andreas Fault with analysis based on core and cuttings from San Andreas Fault Observatory at Depth (SAFOD) drilling phases 1 and 2. Vol. 114, Issue B11, Article first published online: 5 NOV 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009JB000818","usgsCitation":"Tembe, S., Lockner, D., and Wong, T., 2010, Correction to “Constraints on the stress state of the San Andreas Fault with analysis based on core and cuttings from San Andreas Fault Observatory at Depth (SAFOD) drilling phases 1 and 2”: Journal of Geophysical Research B: Solid Earth, v. 115, no. B3, B03418, https://doi.org/10.1029/2009JB000818.","productDescription":"B03418","ipdsId":"IP-018805","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jb000818","text":"Publisher Index Page"},{"id":276283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276282,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009JB000818"}],"volume":"115","issue":"B3","noUsgsAuthors":false,"publicationDate":"2010-03-27","publicationStatus":"PW","scienceBaseUri":"5208b262e4b0058b906bf5c2","contributors":{"authors":[{"text":"Tembe, Sheryl","contributorId":87436,"corporation":false,"usgs":true,"family":"Tembe","given":"Sheryl","email":"","affiliations":[],"preferred":false,"id":482263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David","contributorId":21058,"corporation":false,"usgs":true,"family":"Lockner","given":"David","affiliations":[],"preferred":false,"id":482261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wong, Teng-Fong","contributorId":83005,"corporation":false,"usgs":true,"family":"Wong","given":"Teng-Fong","affiliations":[],"preferred":false,"id":482262,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047109,"text":"70047109 - 2010 - Analytical models for the groundwater tidal prism and associated benthic water flux","interactions":[],"lastModifiedDate":"2013-07-18T13:32:25","indexId":"70047109","displayToPublicDate":"2013-01-01T13:29:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Analytical models for the groundwater tidal prism and associated benthic water flux","docAbstract":"The groundwater tidal prism is defined as the volume of water that inundates a porous medium, forced by one tidal oscillation in surface water. The pressure gradient that generates the prism acts on the subterranean estuary. Analytical models for the groundwater tidal prism and associated benthic flux are presented. The prism and flux are shown to be directly proportional to porosity, tidal amplitude, and the length of the groundwater wave; flux is inversely proportional to tidal period. The duration of discharge flux exceeds the duration of recharge flux over one tidal period; and discharge flux continues for some time following low tide. Models compare favorably with laboratory observations and are applied to a South Atlantic Bight study area, where tide generates an 11-m<sup>3</sup> groundwater tidal prism per m of shoreline, and drives 81 m<sup>3</sup> s<sup> −1</sup> to the study area, which describes 23% of an observational estimate. In a marine water body, the discharge component of any oscillatory benthic water flux is submarine groundwater discharge. Benthic flux transports constituents between groundwater and surface water, and is a process by which pollutant loading and saltwater intrusion may occur in coastal areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10040-009-0519-y","usgsCitation":"King, J.N., Mehta, A.J., and Dean, R., 2010, Analytical models for the groundwater tidal prism and associated benthic water flux: Hydrogeology Journal, v. 18, no. 1, p. 203-215, https://doi.org/10.1007/s10040-009-0519-y.","productDescription":"13","startPage":"203","endPage":"215","ipdsId":"IP-010801","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":275147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275145,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10040-009-0519-y"},{"id":275144,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-009-0519-y"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-10-02","publicationStatus":"PW","scienceBaseUri":"51e90e5fe4b0e157e9e86ef4","contributors":{"authors":[{"text":"King, Jeffrey N. jking@usgs.gov","contributorId":10783,"corporation":false,"usgs":true,"family":"King","given":"Jeffrey","email":"jking@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":false,"id":481076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mehta, Ashish J.","contributorId":21051,"corporation":false,"usgs":true,"family":"Mehta","given":"Ashish","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, Robert G.","contributorId":11916,"corporation":false,"usgs":true,"family":"Dean","given":"Robert G.","affiliations":[],"preferred":false,"id":481077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046817,"text":"70046817 - 2010 - Creation of next generation U.S. Geological Survey topographic maps","interactions":[],"lastModifiedDate":"2013-08-26T13:31:54","indexId":"70046817","displayToPublicDate":"2013-01-01T13:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Creation of next generation U.S. Geological Survey topographic maps","docAbstract":"The U.S. Geological Survey (USGS) is 2 years into a 3-year cycle to create new digital topographic map products for the conterminous United States from data acquired and maintained as part of The National Map databases. These products are in the traditional, USGS topographic quadrangle, 7.5-minute (latitude and longitude) cell format. The 3-year cycle was conceived to follow the acquisition of National Aerial Imagery Program (NAIP) orthorectified imagery, a key layer in the new product. In fiscal year (FY) 2009 (ending September 30, 2009), the first year of the 3-year cycle, the USGS produced 13,200 products. These initial products of the “Digital MapBeta” series had limited feature content, including only the NAIP image, some roads, geographic names, and grid and collar information. The products were created in layered georegistered Portable Document Format (PDF) files, allowing users with freely available Adobe® Reader® software to view, print, and perform simple Geographic Information System-like functions. In FY 2010 (ending September 30, 2010), the USGS produced 20,380 products. These products of the “US Topo” series added hydrography (surface water features), contours, and some boundaries. In FY 2011 (ending September 30, 2011), the USGS will complete the initial coverage with US Topo products and will add additional feature content to the maps. The design, development, and production associated with the US Topo products provide management and technical challenges for the USGS and its public and private sector partners. One challenge is the acquisition and maintenance of nationally consistent base map data from multiple sources. Another is the use of these data to create a  consistent, current series of cartographic products that can be used by the broad spectrum of traditional topographic map users. Although the USGS and its partners have overcome many of these challenges, many, such as establishing and funding a sustainable base data-maintenance program, remain to be resolved for the long term.","conferenceTitle":"ASPRS/CaGIS 2010 Fall Specialty Conference","conferenceDate":"2010-11-01T00:00:00","conferenceLocation":"Orlando, FL","language":"English","publisher":"ISPRS Technical Commission","usgsCitation":"Craun, K.J., 2010, Creation of next generation U.S. Geological Survey topographic maps, 4 p.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-024012","costCenters":[],"links":[{"id":277004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277002,"type":{"id":11,"text":"Document"},"url":"https://www.isprs.org/proceedings/XXXVIII/part4/files/Craun.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c78e4e4b01458f7842920","contributors":{"authors":[{"text":"Craun, Kari J. 0000-0001-7875-2809 kcraun@usgs.gov","orcid":"https://orcid.org/0000-0001-7875-2809","contributorId":3526,"corporation":false,"usgs":true,"family":"Craun","given":"Kari","email":"kcraun@usgs.gov","middleInitial":"J.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":480359,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047163,"text":"70047163 - 2010 - Making lidar more photogenic: creating band combinations from lidar information","interactions":[],"lastModifiedDate":"2013-07-23T12:46:44","indexId":"70047163","displayToPublicDate":"2013-01-01T12:32:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Making lidar more photogenic: creating band combinations from lidar information","docAbstract":"Over the past five to ten years the use and applicability of light detection and ranging (lidar) technology has increased dramatically. As a result, an almost exponential amount of lidar data is being collected across the country for a wide range of applications, and it is currently the technology of choice for high resolution terrain model creation, 3-dimensional city and infrastructure modeling, forestry and a wide range of scientific applications (Lin and Mills, 2010). The amount of data that is being delivered across the country is impressive. For example, the U.S. Geological Survey’s (USGS) Center for Lidar Information Coordination and Knowledge (CLICK), which is a National repository of USGS and partner lidar point cloud datasets (Stoker et al., 2006), currently has 3.5 percent of the United States covered by lidar, and has approximately another 5 percent in the processing queue. The majority of data being collected by the commercial sector are from discrete-return systems, which collect billions of lidar points in an average project. There are also a lot of discussions involving a potential National-scale Lidar effort (Stoker et al., 2008).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Photogrammetric Engineering and Remote Sensing","usgsCitation":"Stoker, J.M., 2010, Making lidar more photogenic: creating band combinations from lidar information: Photogrammetric Engineering and Remote Sensing, v. 76, no. 3, p. 216-220.","productDescription":"5 p.","startPage":"216","endPage":"220","ipdsId":"IP-018975","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":275295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275294,"type":{"id":11,"text":"Document"},"url":"https://digital.ipcprintservices.com/publication/?i=32898&&l=&m=&ver=&pp=&p=15"}],"volume":"76","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51efa5f2e4b0b09fbe58f199","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":481196,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044471,"text":"70044471 - 2010 - Petrography, mineralogy, and geochemistry of deep gravelly sands in the Eyreville B core, Chesapeake Bay impact structure","interactions":[],"lastModifiedDate":"2013-07-22T12:46:27","indexId":"70044471","displayToPublicDate":"2013-01-01T11:52:30","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Petrography, mineralogy, and geochemistry of deep gravelly sands in the Eyreville B core, Chesapeake Bay impact structure","docAbstract":"The ICDP–USGS Eyreville drill cores in the Chesapeake Bay impact structure reached a total depth of 1766 m and comprise (from the bottom upwards) basement-derived schists and granites/pegmatites, impact breccias, mostly poorly lithified gravelly sand and crystalline blocks, a granitic slab, sedimentary breccias, and postimpact sediments. The gravelly sand and crystalline block section forms an approximately 26 m thick interval that includes an amphibolite block and boulders of cataclastic gneiss and suevite. Three gravelly sands (basal, middle, and upper) are distinguished within this interval. The gravelly sands are poorly sorted, clast supported, and generally massive, but crude size-sorting and subtle, discontinuous layers occur locally. Quartz and K-feldspar are the main sand-size minerals and smectite and kaolinite are the principal clay minerals. Other mineral grains occur only in accessory amounts and lithic clasts are sparse (only a few vol%). The gravelly sands are silica rich (~80 wt% SiO<sub>2</sub>). Trends with depth include a slight decrease in SiO<sub>2</sub> and slight increase in Fe<sub>2</sub>O<sub>3</sub>. The basal gravelly sand (below the cataclasite boulder) has a lower SiO<sub>2</sub> content, less K-feldspar, and more mica than the higher sands, and it contains more lithic clasts and melt particles that are probably reworked from the underlying suevite. The middle gravelly sand (below the amphibolite block) is finer-grained, contains more abundant clay minerals, and displays more variable chemical compositions than upper gravelly sand (above the block). Our mineralogical and geochemical results suggest that the gravelly sands are avalanche deposits derived probably from the nonmarine Potomac Formation in the lower part of the target sediment layer, in contrast to polymict diamictons higher in the core that have been interpreted as ocean-resurge debris flows, which is in agreement with previous interpretations. The mineralogy and geochemistry of the gravelly sands are typical for a passive continental margin source. There is no discernible mixing with marine sediments (no glauconite or Paleogene marine microfossils noted) during the impact remobilization and redeposition. The unshocked amphibolite block and cataclasite boulder might have originated from the outer parts of the transient crater.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Meteoritics and Planetary Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1945-5100.2010.01077.x","usgsCitation":"Bartosova, K., Gier, S., Horton, J., Koeberl, C., Mader, D., and Dypvik, H., 2010, Petrography, mineralogy, and geochemistry of deep gravelly sands in the Eyreville B core, Chesapeake Bay impact structure: Meteoritics and Planetary Science, v. 45, no. 6, p. 1021-1052, https://doi.org/10.1111/j.1945-5100.2010.01077.x.","productDescription":"32 p.","startPage":"1021","endPage":"1052","ipdsId":"IP-019802","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":475462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1945-5100.2010.01077.x","text":"Publisher Index Page"},{"id":275220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275217,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1945-5100.2010.01077.x"}],"country":"United States","state":"Virginia","otherGeospatial":"Chesapeake Bay","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":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-10-15","publicationStatus":"PW","scienceBaseUri":"51ee5467e4b00ffbed48f8be","contributors":{"authors":[{"text":"Bartosova, Katerina","contributorId":33045,"corporation":false,"usgs":true,"family":"Bartosova","given":"Katerina","email":"","affiliations":[],"preferred":false,"id":475678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gier, Susanne","contributorId":72284,"corporation":false,"usgs":true,"family":"Gier","given":"Susanne","email":"","affiliations":[],"preferred":false,"id":475681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":423,"corporation":false,"usgs":true,"family":"Horton","given":"J. Wright","suffix":"Jr.","email":"whorton@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":475677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koeberl, Christian","contributorId":89432,"corporation":false,"usgs":true,"family":"Koeberl","given":"Christian","affiliations":[],"preferred":false,"id":475682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mader, Dieter","contributorId":34024,"corporation":false,"usgs":true,"family":"Mader","given":"Dieter","email":"","affiliations":[],"preferred":false,"id":475679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dypvik, Henning","contributorId":41318,"corporation":false,"usgs":true,"family":"Dypvik","given":"Henning","affiliations":[],"preferred":false,"id":475680,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047018,"text":"70047018 - 2010 - Emerging themes in the ecology and management of North American forests","interactions":[],"lastModifiedDate":"2013-07-15T10:48:34","indexId":"70047018","displayToPublicDate":"2013-01-01T10:41:44","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Emerging themes in the ecology and management of North American forests","docAbstract":"The 7th North American Forest Ecology Workshop, consisting of 149 presentations in 16 oral sessions and a poster session, reflected a broad range of topical areas currently under investigation in forest ecology and management. There was an overarching emphasis on the role of disturbance, both natural and anthropogenic, in the dynamics of forest ecosystems, and the recognition that legacies from past disturbances strongly influence future trajectories. Climate was invoked as a major driver of ecosystem change. An emphasis was placed on application of research findings for predicting system responses to changing forest management initiatives. Several “needs” emerged from the discussions regarding approaches to the study of forest ecosystems, including (1) consideration of variable spatial and temporal scales, (2) long-term monitoring, (3) development of universal databases more encompassing of time and space to facilitate meta-analyses, (4) combining field studies and modeling approaches, (5) standardizing methods of measurement and assessment, (6) guarding against oversimplification or overgeneralization from limited site-specific results, (7) greater emphasis on plant-animal interactions, and (8) better alignment of needs and communication of results between researchers and managers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Forestry Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","doi":"10.1155/2010/964260","usgsCitation":"Sharik, T.L., Adair, W., Baker, F.A., Battaglia, M., Comfort, E.J., D’Amato, A.W., Delong, C., DeRose, R., Ducey, M.J., Harmon, M., Levy, L., Logan, J.A., O'Brien, J., Palik, B.J., Roberts, S.D., Rogers, P., Shinneman, D., Spies, T., Taylor, S.L., Woodall, C., and Youngblood, A., 2010, Emerging themes in the ecology and management of North American forests: International Journal of Forestry Research, v. 2010, Article ID 964260; 11 p., https://doi.org/10.1155/2010/964260.","productDescription":"Article ID 964260; 11 p.","ipdsId":"IP-015599","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":475463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2010/964260","text":"Publisher Index Page"},{"id":274970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274960,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0378112712007086"},{"id":274969,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1155/2010/964260"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"2010","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e9e4b069f8d27ccad3","contributors":{"authors":[{"text":"Sharik, Terry L.","contributorId":98201,"corporation":false,"usgs":true,"family":"Sharik","given":"Terry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adair, William","contributorId":88636,"corporation":false,"usgs":true,"family":"Adair","given":"William","email":"","affiliations":[],"preferred":false,"id":480879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Fred A.","contributorId":73096,"corporation":false,"usgs":true,"family":"Baker","given":"Fred","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battaglia, Michael","contributorId":30529,"corporation":false,"usgs":true,"family":"Battaglia","given":"Michael","affiliations":[],"preferred":false,"id":480870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comfort, Emily J.","contributorId":103551,"corporation":false,"usgs":true,"family":"Comfort","given":"Emily","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":480868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delong, Craig","contributorId":27341,"corporation":false,"usgs":true,"family":"Delong","given":"Craig","email":"","affiliations":[],"preferred":false,"id":480867,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeRose, R. Justin","contributorId":11494,"corporation":false,"usgs":true,"family":"DeRose","given":"R. Justin","affiliations":[],"preferred":false,"id":480864,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ducey, Mark J.","contributorId":31659,"corporation":false,"usgs":true,"family":"Ducey","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480871,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harmon, Mark","contributorId":14278,"corporation":false,"usgs":true,"family":"Harmon","given":"Mark","affiliations":[],"preferred":false,"id":480865,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Levy, Louise","contributorId":25061,"corporation":false,"usgs":true,"family":"Levy","given":"Louise","email":"","affiliations":[],"preferred":false,"id":480866,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Logan, Jesse A.","contributorId":85488,"corporation":false,"usgs":true,"family":"Logan","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":480878,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"O'Brien, Joseph","contributorId":105993,"corporation":false,"usgs":true,"family":"O'Brien","given":"Joseph","affiliations":[],"preferred":false,"id":480884,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Palik, Brian J.","contributorId":78619,"corporation":false,"usgs":true,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480877,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Roberts, Scott D.","contributorId":28147,"corporation":false,"usgs":true,"family":"Roberts","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480869,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rogers, Paul C.","contributorId":38452,"corporation":false,"usgs":true,"family":"Rogers","given":"Paul C.","affiliations":[],"preferred":false,"id":480873,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Shinneman, Douglas J.","contributorId":70195,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas J.","affiliations":[],"preferred":false,"id":480875,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Spies, Thomas","contributorId":91772,"corporation":false,"usgs":true,"family":"Spies","given":"Thomas","affiliations":[],"preferred":false,"id":480880,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Taylor, Sarah L.","contributorId":45209,"corporation":false,"usgs":true,"family":"Taylor","given":"Sarah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480874,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Woodall, Christopher","contributorId":34409,"corporation":false,"usgs":true,"family":"Woodall","given":"Christopher","affiliations":[],"preferred":false,"id":480872,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Youngblood, Andrew","contributorId":94193,"corporation":false,"usgs":true,"family":"Youngblood","given":"Andrew","affiliations":[],"preferred":false,"id":480881,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70047440,"text":"70047440 - 2010 - The Nation's top 25 construction aggregates producers","interactions":[],"lastModifiedDate":"2013-08-06T10:38:02","indexId":"70047440","displayToPublicDate":"2013-01-01T10:37:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"The Nation's top 25 construction aggregates producers","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Willett, J., 2010, The Nation's top 25 construction aggregates producers: Aggregates Manager, v. 15, no. 3, p. 16-19.","productDescription":"4 p.","startPage":"16","endPage":"19","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":276104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021aeae4b0e21cafa49cae","contributors":{"authors":[{"text":"Willett, Jason Christopher","contributorId":85480,"corporation":false,"usgs":true,"family":"Willett","given":"Jason Christopher","affiliations":[],"preferred":false,"id":482045,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043695,"text":"70043695 - 2010 - Identification, characterization and genetic mapping of TLR7, TLR8a1 and TLR8a2 genes in rainbow trout (Oncorhynchus mykiss)","interactions":[],"lastModifiedDate":"2013-06-05T14:40:30","indexId":"70043695","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1383,"text":"Developmental and Comparative Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Identification, characterization and genetic mapping of TLR7, TLR8a1 and TLR8a2 genes in rainbow trout (Oncorhynchus mykiss)","docAbstract":"Induction of the innate immune pathways is critical for early anti-viral defense but there is limited understanding of how teleost fish recognize viral molecules and activate these pathways. In mammals, Toll-like receptors (TLR) 7 and 8 bind single-stranded RNA of viral origin and are activated by synthetic anti-viral imidazoquinoline compounds. Herein, we identify and describe the rainbow trout (Oncorhynchus mykiss) TLR7 and TLR8 gene orthologs and their mRNA expression. Two TLR7/8 loci were identified from a rainbow trout bacterial artificial chromosome (BAC) library using DNA fingerprinting and genetic linkage analyses. Direct sequencing of two representative BACs revealed intact omTLR7 and omTLR8a1 open reading frames (ORFs) located on chromosome 3 and a second locus on chromosome 22 that contains an omTLR8a2 ORF and a putative TLR7 pseudogene. We used the omTLR8a1/2 nomenclature for the two trout TLR8 genes as phylogenetic analysis revealed that they and all the other teleost TLR8 genes sequenced to date are similar to the zebrafish TLR8a, but are distinct from the zebrafish TLR8b. The duplicated trout loci exhibit conserved synteny with other fish genomes extending beyond the tandem of TLR7/8 genes. The trout TLR7 and 8a1/2 genes are composed of a single large exon similar to all other described TLR7/8 genes. The omTLR7 ORF is predicted to encode a 1049 amino acid (aa) protein with 84% similarity to the Fugu TLR7 and a conserved pattern of predicted leucine-rich repeats (LRR). The omTLR8a1 and omTLR8a2 are predicted to encode 1035- and 1034-aa proteins, respectively, and have 86% similarity to each other. omTLR8a1 is likely the ortholog of the only Atlantic salmon TLR8 gene described to date as they have 95% aa sequence similarity. The tissue expression profiles of omTLR7, omTLR8a1 and omTLR8a2 in healthy trout were highest in spleen tissue followed by anterior and then posterior kidney tissues. Rainbow trout anterior kidney leukocytes produced elevated levels of pro-inflammatory and type I interferon cytokines mRNA in response to stimulation with the human TLR7/8 agonist R848 or the TLR3 agonist poly I:C. Only poly I:C-induced IFN2 transcription was significantly suppressed in the presence of chloroquine, a compound known to block endosomal acidification and inhibit endosomal maturation. The effect of chloroquine on R848-induced cytokine expression was equivocal and so it remains questionable whether rainbow trout recognition of R848 requires endosomal maturation. TLR7 and TLR8a1 expression levels in rainbow trout anterior kidney leukocytes were not affected by poly I:C or R848 treatments, but surprisingly, TLR8a2 expression was moderately down-regulated by R848. The down-regulation of omTLR8a2 may imply that this gene has evolved to a new or altered function in rainbow trout, as often occurs when the two duplicated genes remain active.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Developmental and Comparative Immunology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.dci.2009.10.002","usgsCitation":"Palti, Y., Gahr, S.A., Purcell, M., Hadidi, S., Rexroad, C.E., and Wiens, G., 2010, Identification, characterization and genetic mapping of TLR7, TLR8a1 and TLR8a2 genes in rainbow trout (Oncorhynchus mykiss): Developmental and Comparative Immunology, v. 34, no. 2, p. 219-233, https://doi.org/10.1016/j.dci.2009.10.002.","productDescription":"15 p.","startPage":"219","endPage":"233","ipdsId":"IP-017141","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":273332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273331,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dci.2009.10.002"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b05de6e4b030b51980121f","contributors":{"authors":[{"text":"Palti, Yniv","contributorId":46856,"corporation":false,"usgs":true,"family":"Palti","given":"Yniv","email":"","affiliations":[],"preferred":false,"id":474107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gahr, Scott A.","contributorId":32057,"corporation":false,"usgs":true,"family":"Gahr","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purcell, Maureen K.","contributorId":104214,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","affiliations":[],"preferred":false,"id":474110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hadidi, Sima","contributorId":60936,"corporation":false,"usgs":true,"family":"Hadidi","given":"Sima","email":"","affiliations":[],"preferred":false,"id":474108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rexroad, Caird E. III","contributorId":45203,"corporation":false,"usgs":true,"family":"Rexroad","given":"Caird","suffix":"III","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiens, Gregory A.","contributorId":66993,"corporation":false,"usgs":true,"family":"Wiens","given":"Gregory A.","affiliations":[],"preferred":false,"id":474109,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044846,"text":"70044846 - 2010 - Ball clay","interactions":[],"lastModifiedDate":"2013-04-16T10:49:47","indexId":"70044846","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Ball clay","docAbstract":"The article reports on the global market performance of ball clay in 2009 and presents an outlook for its 2010 performance. Several companies mined ball call in the country including Old Hickey Clay Co., Kentucky-Tennessee Clay Co., and H.C. Spinks Clay Co. Information on the decline in ball clay imports and exports is also presented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Virta, R.L., 2010, Ball clay: Mining Engineering, v. 62, no. 6, p. 39-40.","productDescription":"2 p.","startPage":"39","endPage":"40","ipdsId":"IP-020239","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516d2161e4b0411d430a89c4","contributors":{"authors":[{"text":"Virta, Robert L. rvirta@usgs.gov","contributorId":395,"corporation":false,"usgs":true,"family":"Virta","given":"Robert","email":"rvirta@usgs.gov","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":476397,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044511,"text":"70044511 - 2010 - Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers","interactions":[],"lastModifiedDate":"2018-10-09T11:09:54","indexId":"70044511","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers","docAbstract":"<p><span>We tested three models of mixing between old interbasin groundwater flow (IGF) and young, locally derived groundwater in a lowland rain forest in Costa Rica using a large suite of environmental tracers. We focus on the young fraction of water using the transient tracers CFC‐11, CFC‐12, CFC‐113, SF</span><sub>6</sub><span>,<span>&nbsp;</span></span><sup>3</sup><span>H, and bomb<span>&nbsp;</span></span><sup>14</sup><span>C. We measured<span>&nbsp;</span></span><sup>3</sup><span>He, but<span>&nbsp;</span></span><sup>3</sup><span>H/</span><sup>3</sup><span>He dating is generally problematic due to the presence of mantle<span>&nbsp;</span></span><sup>3</sup><span>He. Because of their unique concentration histories in the atmosphere, combinations of transient tracers are sensitive not only to subsurface travel times but also to mixing between waters having different travel times. Samples fall into three distinct categories: (1) young waters that plot along a piston flow line, (2) old samples that have near‐zero concentrations of the transient tracers, and (3) mixtures of 1 and 2. We have modeled the concentrations of the transient tracers using (1) a binary mixing model (BMM) of old and young water with the young fraction transported via piston flow, (2) an exponential mixing model (EMM) with a distribution of groundwater travel times characterized by a mean value, and (3) an exponential mixing model for the young fraction followed by binary mixing with an old fraction (EMM/BMM). In spite of the mathematical differences in the mixing models, they all lead to a similar conceptual model of young (0 to 10 year) groundwater that is locally derived mixing with old (&gt;1000 years) groundwater that is recharged beyond the surface water boundary of the system.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR008341","usgsCitation":"Solomon, D., Genereux, D., Plummer, N., and Busenberg, E., 2010, Testing mixing models of old and young groundwater in a tropical lowland rain forest with environmental tracers: Water Resources Research, v. 46, no. 4, 14 p., https://doi.org/10.1029/2009WR008341.","productDescription":"14 p.","ipdsId":"IP-013232","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":270726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.96578,8.22503],[-83.50844,8.44693],[-83.71147,8.65684],[-83.59631,8.83044],[-83.63264,9.05139],[-83.90989,9.2908],[-84.3034,9.48735],[-84.64764,9.61554],[-84.71335,9.90805],[-84.97566,10.08672],[-84.91137,9.79599],[-85.11092,9.55704],[-85.33949,9.83454],[-85.66079,9.93335],[-85.79744,10.13489],[-85.79171,10.43934],[-85.65931,10.75433],[-85.94173,10.89528],[-85.71254,11.08844],[-85.56185,11.21712],[-84.903,10.9523],[-84.67307,11.08266],[-84.35593,10.99923],[-84.19018,10.79345],[-83.89505,10.72684],[-83.65561,10.93876],[-83.40232,10.39544],[-83.01568,9.99298],[-82.5462,9.56613],[-82.93289,9.47681],[-82.92715,9.07433],[-82.71918,8.92571],[-82.86866,8.80727],[-82.82977,8.6263],[-82.91318,8.42352],[-82.96578,8.22503]]]},\"properties\":{\"name\":\"Costa Rica\"}}]}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-29","publicationStatus":"PW","scienceBaseUri":"51653873e4b077fa94dae022","contributors":{"authors":[{"text":"Solomon, D. Kip","contributorId":71441,"corporation":false,"usgs":true,"family":"Solomon","given":"D. Kip","affiliations":[],"preferred":false,"id":475786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Genereux, David P.","contributorId":43649,"corporation":false,"usgs":true,"family":"Genereux","given":"David P.","affiliations":[],"preferred":false,"id":475785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475783,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044881,"text":"70044881 - 2010 - Perlite","interactions":[],"lastModifiedDate":"2013-05-05T17:21:44","indexId":"70044881","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Perlite","docAbstract":"Consumption, imports and domestic production of perlite in the United States continued to be severely affected by the multi-year downturn in construction activity and decreased consumer spending. The estimated amount of processed perlite sold or used from U.S. mines in 2009 fell to 380 kt (418,000 st), the lowest amount of domestic perlite sold or used since 1967.The U.S. consumption of crude processed perlite in 2009 was estimated to have decreased to 480 kt (530,000 st), the lowest level of consumption since 1984 when consumption was 474 kt (522,000 st). Preliminary reports indicate that perlite imports decreased for the third consecutive year and have fallen about 45 percent since peaking in 2006.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Bolen, W., 2010, Perlite: Mining Engineering, v. 62, no. 6, p. 67-67.","productDescription":"1 p.","startPage":"67","endPage":"67","ipdsId":"IP-028900","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51877f69e4b078fc9c244bac","contributors":{"authors":[{"text":"Bolen, W.P.","contributorId":46394,"corporation":false,"usgs":true,"family":"Bolen","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":476429,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046384,"text":"70046384 - 2010 - New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration","interactions":[],"lastModifiedDate":"2013-07-02T10:34:19","indexId":"70046384","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration","docAbstract":"Radar ornithology has provided tools for studying the movement of birds, especially related to migration. Researchers have presented qualitative evidence suggesting that birds, or at least migration events, can be identified using large broad scale radars such as the WSR-88D used in the NEXRAD weather surveillance system. This is potentially a boon for ornithologists because such data cover a large portion of the United States, are constantly being produced, are freely available, and have been archived since the early 1990s. A major obstacle to this research, however, has been that identifying birds in NEXRAD data has required a trained technician to manually inspect a graphically rendered radar sweep. A single site completes one volume scan every five to ten minutes, producing over 52,000 volume scans in one year. This is an immense amount of data, and manual classification is infeasible. We have developed a system that identifies biological echoes using machine learning techniques. This approach begins with training data using scans that have been classified by experts, or uses bird data collected in the field. The data are preprocessed to ensure quality and to emphasize relevant features. A classifier is then trained using this data and cross validation is used to measure performance. We compared neural networks, naive Bayes, and k-nearest neighbor classifiers. Empirical evidence is provided showing that this system can achieve classification accuracies in the 80th to 90th percentile. We propose to apply these methods to studying bird migration phenology and how it is affected by climate variability and change over multiple temporal scales.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Environmental Modelling and Software Society","usgsCitation":"Mead, R., Paxton, J., and Sojda, R.S., 2010, New software methods in radar ornithology using WSR-88D weather data and potential application to monitoring effects of climate change on bird migration, <i>in</i> 2010 International Congress on Environmental Modelling and Software; Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada, 8 p.","productDescription":"8 p.","ipdsId":"IP-020189","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":274417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274416,"type":{"id":11,"text":"Document"},"url":"https://www.iemss.org/iemss2010/papers/W01/W.01.04.New%20software%20methods%20in%20radar%20ornithology%20using%20WSR-88D%20weather%20data%20and%20potential%20application%20to%20monitoring%20effects%20of%20climate%20change%20on%20bird%20migration%20-%20RICHARD%20S.%20SOJDA.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f665e4b09630fbdc52a3","contributors":{"editors":[{"text":"Swayne, David A.","contributorId":111728,"corporation":false,"usgs":true,"family":"Swayne","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":509331,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Yang, Wanhong","contributorId":111437,"corporation":false,"usgs":true,"family":"Yang","given":"Wanhong","email":"","affiliations":[],"preferred":false,"id":509330,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Voinov, A.A.","contributorId":113598,"corporation":false,"usgs":true,"family":"Voinov","given":"A.A.","affiliations":[],"preferred":false,"id":509333,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rizzoli, A.","contributorId":113599,"corporation":false,"usgs":true,"family":"Rizzoli","given":"A.","affiliations":[],"preferred":false,"id":509334,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Filatova, T.","contributorId":112264,"corporation":false,"usgs":true,"family":"Filatova","given":"T.","email":"","affiliations":[],"preferred":false,"id":509332,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Mead, Reginald","contributorId":62109,"corporation":false,"usgs":true,"family":"Mead","given":"Reginald","email":"","affiliations":[],"preferred":false,"id":479596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, John","contributorId":22227,"corporation":false,"usgs":true,"family":"Paxton","given":"John","email":"","affiliations":[],"preferred":false,"id":479595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sojda, Richard S. sojda@usgs.gov","contributorId":1663,"corporation":false,"usgs":true,"family":"Sojda","given":"Richard","email":"sojda@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046095,"text":"70046095 - 2010 - Groundwater hydrology--coastal flow","interactions":[],"lastModifiedDate":"2018-10-11T17:43:34","indexId":"70046095","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater hydrology--coastal flow","docAbstract":"How groundwater flow varies when long-term external conditions change is little documented. Geochemical evidence shows that sea-level rise at the end of the last glacial period led to a shift in the flow patterns of coastal groundwater beneath Florida.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo958","usgsCitation":"Sanford, W.E., 2010, Groundwater hydrology--coastal flow: Nature Geoscience, v. 3, p. 671-672, https://doi.org/10.1038/ngeo958.","productDescription":"2 p.","startPage":"671","endPage":"672","ipdsId":"IP-022610","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":273073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273072,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo958"}],"country":"United States","state":"Florida","volume":"3","noUsgsAuthors":false,"publicationDate":"2010-09-12","publicationStatus":"PW","scienceBaseUri":"51ac6964e4b0cc85b6ed6b56","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044821,"text":"70044821 - 2010 - Mineral resource of the month: germanium","interactions":[],"lastModifiedDate":"2013-05-08T16:25:53","indexId":"70044821","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: germanium","docAbstract":"The article provides information on germanium, an element with electrical properties between those of a metal and an insulator. Applications of germanium include its use as a component of the glass in fiber-optic cable, in infrared optics devices and as a semiconductor and substrate used in electronic and solar applications. Germanium was first isolated by German chemist Clemens Winkler in 1886 and was named after Winkler's native country. In 2008, the leading sources of primary germanium from coal or zinc include Canada, China and Russia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Guberman, D., 2010, Mineral resource of the month: germanium: Earth, v. 55, no. 5, p. 27-27.","productDescription":"1 p.","startPage":"27","endPage":"27","ipdsId":"IP-020125","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73ece4b0037667dbc850","contributors":{"authors":[{"text":"Guberman, David","contributorId":75404,"corporation":false,"usgs":true,"family":"Guberman","given":"David","affiliations":[],"preferred":false,"id":476374,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042228,"text":"70042228 - 2010 - Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable","interactions":[],"lastModifiedDate":"2013-03-10T15:13:13","indexId":"70042228","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable","docAbstract":"The quantitative polymerase chain reaction (qPCR) method provides rapid estimates of fecal indicator bacteria densities that have been indicated to be useful in the assessment of water quality. Primarily because this method provides faster results than standard culture-based methods, the U.S. Environmental Protection Agency is currently considering its use as a basis for revised ambient water quality criteria. In anticipation of this possibility, we sought to examine the relationship between qPCR-based and culture-based estimates of enterococci in surface waters. Using data from several research groups, we compared enterococci estimates by the two methods in water samples collected from 37 sites across the United States. A consistent linear pattern in the relationship between cell equivalents (CCE), based on the qPCR method, and colony-forming units (CFU), based on the traditional culturable method, was significant (P < 0.05) at most sites. A linearly decreasing variance of CCE with increasing CFU levels was significant (P < 0.05) or evident for all sites. Both marine and freshwater sites under continuous influence of point-source contamination tended to reveal a relatively constant proportion of CCE to CFU. The consistency in the mean and variance patterns of CCE versus CFU indicates that the relationship of results based on these two methods is more predictable at high CFU levels (e.g., log<sub>10</sub>CFU > 2.0/100 mL) while uncertainty increases at lower CFU values. It was further noted that the relative error in replicated qPCR estimates was generally higher than that in replicated culture counts even at relatively high target levels, suggesting a greater need for replicated analyses in the qPCR method to reduce relative error. Further studies evaluating the relationship between culture and qPCR should take into account analytical uncertainty as well as potential differences in results of these methods that may arise from sample variability, different sources of pollution, and environmental factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es9028974","usgsCitation":"Whitman, R.L., Ge, Z., Nevers, M.B., Boehm, A., Chern, E.C., Haugland, R.A., Lukasik, A.M., Molina, M., Przybyla-Kelly, K., Shively, D.A., White, E.M., Zepp, R.G., and Byappanahalli, M., 2010, Relationship and variation of qPCR and culturable enterococci estimates in ambient surface waters are predictable: Environmental Science & Technology, v. 44, no. 13, p. 5049-5054, https://doi.org/10.1021/es9028974.","productDescription":"6 p.","startPage":"5049","endPage":"5054","ipdsId":"IP-019709","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269038,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es9028974"}],"volume":"44","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-06-08","publicationStatus":"PW","scienceBaseUri":"53cd7027e4b0b29085106e04","contributors":{"authors":[{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ge, Zhongfu","contributorId":29709,"corporation":false,"usgs":true,"family":"Ge","given":"Zhongfu","affiliations":[],"preferred":false,"id":471039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":471043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chern, Eunice C.","contributorId":42500,"corporation":false,"usgs":true,"family":"Chern","given":"Eunice","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haugland, Richard A.","contributorId":102439,"corporation":false,"usgs":true,"family":"Haugland","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lukasik, Ashley M.","contributorId":32421,"corporation":false,"usgs":true,"family":"Lukasik","given":"Ashley","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471040,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Molina, Marirosa","contributorId":102356,"corporation":false,"usgs":true,"family":"Molina","given":"Marirosa","affiliations":[],"preferred":false,"id":471047,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Przybyla-Kelly, Kasia","contributorId":79004,"corporation":false,"usgs":true,"family":"Przybyla-Kelly","given":"Kasia","affiliations":[],"preferred":false,"id":471045,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shively, Dawn A. dshively@usgs.gov","contributorId":2051,"corporation":false,"usgs":true,"family":"Shively","given":"Dawn","email":"dshively@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471037,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, Emily M.","contributorId":24664,"corporation":false,"usgs":true,"family":"White","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471038,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zepp, Richard G.","contributorId":59703,"corporation":false,"usgs":true,"family":"Zepp","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":471044,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":471042,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70042407,"text":"70042407 - 2010 - The effect of error in theoretical Earth tide on calibration of borehole strainmeters","interactions":[],"lastModifiedDate":"2013-03-06T17:15:30","indexId":"70042407","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The effect of error in theoretical Earth tide on calibration of borehole strainmeters","docAbstract":"Since the installation of borehole strainmeters into the ground locally distorts the strain in the rock, these strainmeters require calibration from a known source which typically is the Earth tide. Consequently, the accuracy of the observed strain changes from borehole strainmeters depends upon the calibration derived from modeling the Earth tide. Previous work from the mid-1970s, which is replicated here, demonstrate that the theoretical tide can differ by 30% from the tide observed at surface-mounted, long-baseline strainmeters. In spite of possible inaccurate tidal models, many of the 74 borehole strainmeters installed since 2005 can be “calibrated”. However, inaccurate tidal models affect the amplitude and phase of observed transient strain changes which needs to be considered along with the precision of the data from the inherent drift of these borehole instruments. In particular, the error from inaccurate tidal model dominates the error budget in the observation of impulsive, sub-daily, strain-transients.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2010GL044454","usgsCitation":"Langbein, J.O., 2010, The effect of error in theoretical Earth tide on calibration of borehole strainmeters: Geophysical Research Letters, v. 37, no. 21, L21303, https://doi.org/10.1029/2010GL044454.","productDescription":"L21303","ipdsId":"IP-021866","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl044454","text":"Publisher Index Page"},{"id":268834,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL044454"},{"id":268835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"21","noUsgsAuthors":false,"publicationDate":"2010-11-03","publicationStatus":"PW","scienceBaseUri":"5138738de4b02c509e50c4ed","contributors":{"authors":[{"text":"Langbein, John O.","contributorId":72438,"corporation":false,"usgs":true,"family":"Langbein","given":"John","middleInitial":"O.","affiliations":[],"preferred":false,"id":471476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70042326,"text":"70042326 - 2010 - Summer stream water temperature models for Great Lakes streams: New York","interactions":[],"lastModifiedDate":"2022-09-02T14:52:18.036633","indexId":"70042326","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Summer stream water temperature models for Great Lakes streams: New York","docAbstract":"Temperature is one of the most important environmental influences on aquatic organisms. It is a primary driver of physiological rates and many abiotic processes. However, despite extensive research and measurements, synoptic estimates of water temperature are not available for most regions, limiting our ability to make systemwide and large-scale assessments of aquatic resources or estimates of aquatic species abundance and biodiversity. We used subwatershed averaging of point temperature measurements and associated multiscale landscape habitat conditions from over 3,300 lotic sites throughout New York State to develop and train artificial neural network models. Separate models predicting water temperature (in cold, cool, and warm temperature classes) within small catchment–stream order groups were developed for four modeling units, which together encompassed the entire state. Water temperature predictions were then made for each stream segment in the state. All models explained more than 90% of data variation. Elevation, riparian forest cover, landscape slope, and growing degree-days were among the most important model predictors of water temperature classes. Geological influences varied among regions. Predicted temperature distributions within stream networks displayed patterns of generally increasing temperature downstream but were patchy due to the averaging of water temperatures within stream size-classes of small drainages. Models predicted coldwater streams to be most numerous and warmwater streams to be generally associated with the largest rivers and relatively flat agricultural areas and urban areas. Model predictions provide a complete, georeferenced map of summer daytime mean stream temperature potential throughout New York State that can be used for planning and assessment at spatial scales from the stream segment class to the entire state.","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MA","doi":"10.1577/T09-153.1","usgsCitation":"McKenna, J., Butryn, R.S., and McDonald, R.P., 2010, Summer stream water temperature models for Great Lakes streams: New York: Transactions of the American Fisheries Society, v. 139, no. 5, p. 1399-1414, https://doi.org/10.1577/T09-153.1.","productDescription":"16 p.","startPage":"1399","endPage":"1414","ipdsId":"IP-015655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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,{"id":70042290,"text":"70042290 - 2010 - Precise tremor source locations and amplitude variations along the lower-crustal central San Andreas Fault","interactions":[],"lastModifiedDate":"2013-03-09T15:32:52","indexId":"70042290","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Precise tremor source locations and amplitude variations along the lower-crustal central San Andreas Fault","docAbstract":"We precisely locate 88 tremor families along the central San Andreas Fault using a 3D velocity model and numerous P and S wave arrival times estimated from seismogram stacks of up to 400 events per tremor family. Maximum tremor amplitudes vary along the fault by at least a factor of 7, with by far the strongest sources along a 25 km section of the fault southeast of Parkfield. We also identify many weaker tremor families, which have largely escaped prior detection. Together, these sources extend 150 km along the fault, beneath creeping, transitional, and locked sections of the upper crustal fault. Depths are mostly between 18 and 28 km, in the lower crust. Epicenters are concentrated within 3 km of the surface trace, implying a nearly vertical fault. A prominent gap in detectible activity is located directly beneath the region of maximum slip in the 2004 magnitude 6.0 Parkfield earthquake.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2010GL043672","usgsCitation":"Shelly, D.R., and Hardebeck, J.L., 2010, Precise tremor source locations and amplitude variations along the lower-crustal central San Andreas Fault: Geophysical Research Letters, v. 37, no. 14, L14301, https://doi.org/10.1029/2010GL043672.","productDescription":"L14301","ipdsId":"IP-021380","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":475471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl043672","text":"Publisher Index Page"},{"id":268983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268982,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL043672"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"37","issue":"14","noUsgsAuthors":false,"publicationDate":"2010-07-17","publicationStatus":"PW","scienceBaseUri":"53cd6c56e4b0b290851047e3","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":471218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":471217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042336,"text":"70042336 - 2010 - A short-term look at potential changes in Lake Michigan slimy sculpin diets","interactions":[],"lastModifiedDate":"2013-04-06T19:51:06","indexId":"70042336","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"A short-term look at potential changes in Lake Michigan slimy sculpin diets","docAbstract":"Diporeia hoyi and Mysis relicta are the most important prey items of slimy sculpins (Cottus cognatus) in the Great Lakes. Slimy sculpins were collected from dreissenid-infested bottoms off seven Lake Michigan ports at depths of 27–73 m in fall 2003 to study their lake-wide diets. Relatively large dreissenid biomass occurred at depths of 37- and 46-m. Quagga mussels (Dreissena bugnesis) composed at least 50% of dreissenid biomass at Manistique, Saugatuck, and Sturgeon Bay. Mysis accounted for 82% of the sculpin diet by dry weight at eastern Lake Michigan while Diporeia composed 54–69% of the diet at western Lake Michigan and dominated the diets of slimy sculpins at all sites deeper than 46 m. In northern Lake Michigan, this diet study in new sites showed that slimy sculpin consumed more prey with low energy contents, especially chironomids, than Mysis and Diporeia in shallow sites (depth <55 m). We recommend diet studies on sedentary benthic fishes to be conducted along perimeters of the Great Lakes to observe changes in their diets that may be impacted by changing benthic macroinvertebrate communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor, MI","doi":"10.1016/j.jglr.2010.01.007","usgsCitation":"French, J.R., Stickel, R., Stockdale, B.A., and Black, M.G., 2010, A short-term look at potential changes in Lake Michigan slimy sculpin diets: Journal of Great Lakes Research, v. 36, no. 2, p. 376-379, https://doi.org/10.1016/j.jglr.2010.01.007.","productDescription":"4 p.","startPage":"376","endPage":"379","ipdsId":"IP-010817","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":270609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270608,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2010.01.007"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0,41.6 ], [ -88.0,46.1 ], [ -84.8,46.1 ], [ -84.8,41.6 ], [ -88.0,41.6 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51614bd7e4b022d43fdfaa21","contributors":{"authors":[{"text":"French, John R. P. III","contributorId":107635,"corporation":false,"usgs":true,"family":"French","given":"John","suffix":"III","email":"","middleInitial":"R. P.","affiliations":[],"preferred":false,"id":471327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stickel, Richard G.","contributorId":50801,"corporation":false,"usgs":true,"family":"Stickel","given":"Richard G.","affiliations":[],"preferred":false,"id":471325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdale, Beth A.","contributorId":57335,"corporation":false,"usgs":true,"family":"Stockdale","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, M. Glen gblack@usgs.gov","contributorId":2394,"corporation":false,"usgs":true,"family":"Black","given":"M.","email":"gblack@usgs.gov","middleInitial":"Glen","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042334,"text":"70042334 - 2010 - Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","interactions":[],"lastModifiedDate":"2013-05-02T14:57:27","indexId":"70042334","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","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":"Dreissenid mussels are not a \"dead end\" in Great Lakes food webs","docAbstract":"Dreissenid mussels have been regarded as a “dead end” in Great Lakes food webs because the degree of predation on dreissenid mussels, on a lakewide basis, is believed to be low. Waterfowl predation on dreissenid mussels in the Great Lakes has primarily been confined to bays, and therefore its effects on the dreissenid mussel population have been localized rather than operating on a lakewide level. Based on results from a previous study, annual consumption of dreissenid mussels by the round goby (Neogobius melanostomus) population in central Lake Erie averaged only 6 kilotonnes (kt; 1 kt = one thousand metric tons) during 1995–2002. In contrast, our coupling of lake whitefish (Coregonus clupeaformis) population models with a lake whitefish bioenergetics model revealed that lake whitefish populations in Lakes Michigan and Huron consumed 109 and 820 kt, respectively, of dreissenid mussels each year. Our results indicated that lake whitefish can be an important predator on dreissenid mussels in the Great Lakes, and that dreissenid mussels do not represent a “dead end” in Great Lakes food webs. The Lake Michigan dreissenid mussel population has been estimated to be growing more than three times faster than the Lake Huron dreissenid mussel population during the 2000s. One plausible explanation for the higher population growth rate in Lake Michigan would be the substantially higher predation rate by lake whitefish on dreissenid mussels in Lake Huron.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2009.09.001","usgsCitation":"Madenijan, C.P., Pothoven, S.A., Schneeberger, P.J., Ebener, M.P., Mohr, L.C., Nalepa, T., and Bence, J., 2010, Dreissenid mussels are not a \"dead end\" in Great Lakes food webs: Journal of Great Lakes Research, v. 36, no. SP1, p. 73-77, https://doi.org/10.1016/j.jglr.2009.09.001.","productDescription":"5 p.","startPage":"73","endPage":"77","ipdsId":"IP-006302","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":271772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271771,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.09.001"}],"otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.8,41.18 ], [ -75.8,49.1 ], [ -92.11,49.1 ], [ -92.11,41.18 ], [ -75.8,41.18 ] ] ] } } ] }","volume":"36","issue":"SP1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51838ae7e4b0a21483941a99","contributors":{"authors":[{"text":"Madenijan, Charles P.","contributorId":101169,"corporation":false,"usgs":true,"family":"Madenijan","given":"Charles","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":471306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneeberger, Philip J.","contributorId":43313,"corporation":false,"usgs":true,"family":"Schneeberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":471302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohr, Lloyd C.","contributorId":77493,"corporation":false,"usgs":false,"family":"Mohr","given":"Lloyd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":471303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":471307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042327,"text":"70042327 - 2010 - Policies and practices of beach monitoring in the Great Lakes, USA: a critical review","interactions":[],"lastModifiedDate":"2013-03-05T20:52:48","indexId":"70042327","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2259,"text":"Journal of Environmental Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Policies and practices of beach monitoring in the Great Lakes, USA: a critical review","docAbstract":"Beaches throughout the Great Lakes are monitored for fecal indicator bacteria (typically Escherichia coli) in order to protect the public from potential sewage contamination. Currently, there is no universal standard for sample collection and analysis or results interpretation. Monitoring policies are developed by individual beach management jurisdictions, and applications are highly variable across and within lakes, states, and provinces. Extensive research has demonstrated that sampling decisions for time, depth, number of replicates, frequency of sampling, and laboratory analysis all influence the results outcome, as well as calculations of the mean and interpretation of the results in policy decisions. Additional shortcomings to current monitoring approaches include appropriateness and reliability of currently used indicator bacteria and the overall goal of these monitoring programs. Current research is attempting to circumvent these complex issues by developing new tools and methods for beach monitoring. In this review, we highlight the variety of sampling routines used across the Great Lakes and the extensive body of research that challenges comparisons among beaches. We also assess the future of Great Lakes monitoring and the advantages and disadvantages of establishing standards that are evenly applied across all beaches.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Monitoring","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"RSC Publishing","publisherLocation":"London, U.K.","doi":"10.1039/B917590C","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2010, Policies and practices of beach monitoring in the Great Lakes, USA: a critical review: Journal of Environmental Monitoring, v. 12, p. 581-590, https://doi.org/10.1039/B917590C.","productDescription":"10 p.","startPage":"581","endPage":"590","ipdsId":"IP-012026","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268808,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/B917590C"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5137220fe4b02ab8869c0021","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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