{"pageNumber":"496","pageRowStart":"12375","pageSize":"25","recordCount":68899,"records":[{"id":70154933,"text":"70154933 - 2015 - Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion","interactions":[],"lastModifiedDate":"2017-07-20T14:07:27","indexId":"70154933","displayToPublicDate":"2015-06-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion","docAbstract":"<p class=\"abstract_block\">Restoration activities inherently depend on understanding the spatial and temporal variation in basic demographic rates of the species of interest. For species that modify and maintain their own habitat such as the eastern oyster<span>&nbsp;</span><i>Crassostrea virginica</i>, understanding demographic rates and their impacts on population and habitat success are crucial to ensuring restoration success. We measured oyster recruitment, density, size distribution, biomass, mortality and<span>&nbsp;</span><i>Perkinsus marinus</i><span>&nbsp;</span>infection intensity quarterly for 3 yr on shallow intertidal reefs created with shell cultch in March 2009. All reefs were located within Sister Lake, LA. Reefs were placed in pairs at 3 different locations within the lake; pairs were placed in low and medium energy sites within each location. Restored reefs placed within close proximity (&lt;8 km) experienced very different development trajectories; there was high inter-site and inter-annual variation in recruitment and mortality of oysters, with only slight variation in growth curves. Despite this high variation in population dynamics, all reefs supported dense oyster populations (728 ± 102 ind. m<sup>-2</sup>) and high live oyster biomass (&gt;14.6 kg m<sup>-2</sup>) at the end of 3 yr. Shell accretion, on average, exceeded estimated rates required to keep pace with local subsidence and shell loss. Variation in recruitment, growth and survival drives local site-specific population success, which highlights the need to understand local water quality, hydrodynamics, and metapopulation dynamics when planning restoration.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11198","usgsCitation":"Casas, S.M., La Peyre, J.F., and La Peyre, M., 2015, Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion: Marine Ecology Progress Series, v. 524, p. 171-184, https://doi.org/10.3354/meps11198.","productDescription":"14 p.","startPage":"171","endPage":"184","ipdsId":"IP-057172","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11198","text":"Publisher Index Page"},{"id":344146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Sister Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.00250244140624,\n              29.165053325564653\n            ],\n            [\n              -90.79479217529297,\n              29.165053325564653\n            ],\n            [\n              -90.79479217529297,\n              29.284602230535242\n            ],\n            [\n              -91.00250244140624,\n              29.284602230535242\n            ],\n            [\n              -91.00250244140624,\n              29.165053325564653\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"524","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1c4e4b0ec1a4885dae0","contributors":{"authors":[{"text":"Casas, Sandra M.","contributorId":145452,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":705872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564379,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147007,"text":"sir20155058 - 2015 - Water-quality trends in the Scituate reservoir drainage area, Rhode Island, 1983-2012","interactions":[],"lastModifiedDate":"2015-06-09T14:49:52","indexId":"sir20155058","displayToPublicDate":"2015-06-09T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5058","title":"Water-quality trends in the Scituate reservoir drainage area, Rhode Island, 1983-2012","docAbstract":"<p>The Scituate Reservoir is the primary source of drinking water for more than 60 percent of the population of Rhode Island. Water-quality and streamflow data collected at 37 surface-water monitoring stations in the Scituate Reservoir drainage area, Rhode Island, from October 2001 through September 2012, water years (WYs) 2002-12, were analyzed to determine water-quality conditions and constituent loads in the drainage area. Trends in water quality, including physical properties and concentrations of constituents, were investigated for the same period and for a longer period from October 1982 through September 2012 (WYs 1983-2012). Water samples were collected and analyzed by the Providence Water Supply Board, the agency that manages the Scituate Reservoir. Streamflow data were collected by the U.S. Geological Survey. Median values and other summary statistics for pH, color, turbidity, alkalinity, chloride, nitrite, nitrate, total coliform bacteria, <i>Escherichia coli</i> (<i>E. coli</i>), and orthophosphate were calculated for WYs 2003-12 for all 37 monitoring stations. Instantaneous loads and yields (loads per unit area) of total coliform bacteria and <i>E. coli</i>, chloride, nitrite, nitrate, and orthophosphate were calculated for all sampling dates during WYs 2003-12 for 23 monitoring stations with streamflow data. Values of physical properties and concentrations of constituents were compared with State and Federal water-quality standards and guidelines and were related to streamflow, land-use characteristics, varying classes of timber operations, and impervious surface areas.</p>\n<p>Tributaries in the Scituate Reservoir drainage area for WYs 2003-12 were slightly acidic (median pH of all stations equal to 6.1) and contained low median concentrations of chloride (22 milligrams per liter [mg/L]), nitrate (0.01 mg/L as nitrogen), nitrite (0.001 mg/L as nitrogen), and orthophosphate (0.02 milligrams per liter as phosphorus [mg/L as P]). Turbidity and alkalinity values also were low with medians of 0.57 nephelometric turbidity units and 5.1 mg/L as calcium carbonate, respectively. Total coliform bacteria and <i>E. coli</i> were detected in most samples from all stations, but median concentrations were generally low-43 colony-forming units per 100 milliliters (mL) and 15 colony-forming units per 100 milliliters, respectively.</p>\n<p>Median values of several physical properties and median concentrations of several constituents correlated positively with the percentages of developed land and negatively with the percentages of forest cover in the drainage areas above the monitoring stations. Median concentrations of chloride correlated positively with the percentages of impervious land use in the subbasins of monitoring stations, likely reflecting the effects of deicing compounds applied to roadways during winter maintenance. Median concentrations of alkalinity also correlated positively with the percentage of impervious land use, which may be related to the deterioration of fabricated structures containing calcium carbonate. Median values of color correlated positively with the percentage of wetland area in the subbasins of monitoring stations, reflecting the natural sources of color in tributaries. Streamflows were negatively correlated with turbidity and concentrations of total coliform bacteria and E. coli, possibly reflecting seasonal patterns in which relatively high values of these properties and constituents occur during warmer low-flow conditions late in the water year. Similar seasonal patterns were observed for pH, alkalinity, and color. Negative correlations between concentrations of chloride and streamflow also were significant, indicating that deicing salts from roadways and other impervious surfaces that lack direct connection to the tributaries are likely infiltrating to the groundwater and discharging to some of the tributaries late in the water year. While salt-laden runoff directly enters some of the tributaries at roadway crossings, most of the roadway runoff infiltrates into the adjacent berms throughout the drainage area. Statistically significant correlations were not identified between various degrees of tree-canopy reduction caused by timber operations in the subbasins and median values or concentrations of water-quality properties.</p>\n<p>Loads and yields of chloride, nitrate, nitrite, orthophosphate, and bacteria varied at monitoring stations in the Scituate Reservoir drainage area in WYs 2003-12. Loads generally were greater at stations in the Barden Reservoir and the Regulating Reservoir Subbasins that have larger drainage areas than in subbasins with smaller drainage areas. Subbasin yields of fecal-indicator bacteria and orthophosphate generally were largest in the Westconnaug Reservoir Subbasin, and subbasin yields for chloride, nitrate, and nitrite were largest in the Moswansicut Reservoir Subbasin in the northeastern part of the drainage area.</p>\n<p>Upward trends in pH were identified for nearly half of the monitoring stations for WYs 1983-2012 and may reflect regional reductions in acid precipitation. Many upward trends in alkalinity also were identified for both the WYs 1983-2012 and for WYs 2003-12 periods and are likely related to the natural weathering of structures containing concrete or, in some cases, the application of lime or fertilizers on agriculture lands. Significant trends in chloride concentrations at most stations during WYs 1983-2012 were upward; however, results for WYs 2003-12 substantiate few significant upward trends and, in a few cases, downward trends were identified in several tributary drainage areas.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155058","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Smith, K.P., 2015, Water-quality trends in the Scituate reservoir drainage area, Rhode Island, 1983-2012: U.S. Geological Survey Scientific Investigations Report 2015-5058, viii, 56 p., https://doi.org/10.3133/sir20155058.","productDescription":"viii, 56 p.","numberOfPages":"70","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1983-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-045415","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":301097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155058.jpg"},{"id":301094,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5058/"},{"id":301095,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5058/pdf/sir2015-5058.pdf","text":"Report","size":"13.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5058 Report"},{"id":301096,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5058/attachments/sir2015-5058_appendix.xlsx","text":"Appendix 1","size":"700 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5058 Appendix 1","linkHelpText":"Values for water-quality data collected by the Providence Water Supply Board at 37 monitoring stations in the Scituate Reservoir drainage area, water years 1983–2012."}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.79290771484375,\n              41.72623044860004\n            ],\n            [\n              -71.8011474609375,\n              41.937019660425264\n            ],\n            [\n              -71.54296874999999,\n              41.937019660425264\n            ],\n            [\n              -71.553955078125,\n              41.734429390721\n            ],\n            [\n              -71.79290771484375,\n              41.72623044860004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55780020e4b032353cbeb6b7","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545577,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148001,"text":"ofr20151085 - 2015 - Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2015-06-09T14:59:54","indexId":"ofr20151085","displayToPublicDate":"2015-06-09T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1085","title":"Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts","docAbstract":"<p>A two-dimensional model was developed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to assess flow and chemical reaction associated with groundwater discharge through the subterranean estuary representative of coastal salt ponds of southern Cape Cod. The model simulated both the freshwater and saltwater flow systems and accounted for density-dependent flow, tidal fluctuation, and chemical reactivity among oxygen, dissolved organic carbon, nitrate, and ammonia. Not previously incorporated into one model, the interaction of these effects can now be simulated in the subterranean estuary context.</p>\n<p>An analysis of the flow system under mean-tide conditions was conducted first to provide the initial conditions for a subsequent analysis that included the effects of tidal fluctuations. Tidal fluctuations were simulated with a repeated couplet that represented a high tide-low tide sequence and alternating locations of head-dependent flux boundaries placed along the simulated seabed, above and below the levels of the respective high and low tides.</p>\n<p>Boundary conditions for chemical species included nitrate in recharge, and oxygen and organic matter (including organic nitrogen) in infiltrating solutions of head-dependent boundaries. Reaction chemistry was limited to oxidative degradation of organic matter (including remineralization of ammonia) with oxygen or nitrate as electron acceptors and nitrification of ammonia in the presence of oxygen.</p>\n<p>Simulations using the SEAWAT-2000 computer program resulted in two mixing zones-between freshwater and saltwater in a deep saltwater wedge and in an intertidal salt zone, which results from tidal fluctuation. The mixing zones are the principal locations where nitrogen attenuation reactions occurred-between organic matter in the saltwater zones of the aquifer and nitrate in the freshwater zone.</p>\n<p>In mean-tide PHT3D model simulations, 15 percent of nitrogen that is recharged was attenuated because of reaction with dissolved organic matter, a denitrification reaction that reduces nitrate to nitrogen gas. When a fluctuating tide was simulated, the amount of recharged nitrogen that was denitrified increased to 20 percent.</p>\n<p>Chemical reaction was controlled by the rate of mixing of freshwater and saltwater, which contained the reactants nitrate and dissolved organic matter, respectively, necessary for nitrogen attenuation reactions to take place. Reaction occurred in both the deep saltwater wedge and in an increased denitrification. However, mixing may also have been enhanced partly by numerical dispersion.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151085","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Colman, J.A., Carlson, C.S., and Robinson, C., 2015, Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts: U.S. Geological Survey Open-File Report 2015-1085, vi, 30 p., https://doi.org/10.3133/ofr20151085.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056161","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":301100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151085.jpg"},{"id":301098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1085/"},{"id":301099,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1085/pdf/ofr2015-1085.pdf","text":"Report","size":"3.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2015-1085 Report"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.5377197265625,\n              41.80203073088394\n            ],\n            [\n              -70.477294921875,\n              41.77131167976407\n            ],\n            [\n              -70.29052734375,\n              41.73852846935917\n            ],\n            [\n              -70.235595703125,\n              41.74467659677642\n            ],\n            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John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, C.","contributorId":70586,"corporation":false,"usgs":true,"family":"Robinson","given":"C.","affiliations":[],"preferred":false,"id":548417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148471,"text":"sir20155045 - 2015 - Hydrologic model of the Modesto Region, California, 1960-2004","interactions":[],"lastModifiedDate":"2015-06-09T08:50:49","indexId":"sir20155045","displayToPublicDate":"2015-06-09T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5045","title":"Hydrologic model of the Modesto Region, California, 1960-2004","docAbstract":"<p>Strategies for managing water supplies and groundwater quality in the Modesto region of the eastern San Joaquin Valley, California, are being formulated and evaluated by the Stanislaus and Tuolumne Rivers Groundwater Basin Association. Management issues and goals in the basin include an area in the lower part of the basin that requires drainage of the shallow water table to sustain agriculture, intra- and inter-basin migration of poor-quality groundwater, and efficient management of surface and groundwater supplies. To aid in the evaluation of water-management strategies, the U.S. Geological Survey and the Stanislaus and Tuolumne Rivers Groundwater Basin Association have developed a hydrologic model that simulates monthly groundwater and surface-water flow as governed by aquifer-system properties, annual and seasonal variations in climate, surface-water flow and availability, water use, and land use. The model was constructed by using the U.S. Geological Survey groundwater-modeling software MODFLOW-OWHM with the Farm Process.</p>\n<p>Available measurements of groundwater pumped for municipal, irrigation, and drainage purposes are specified in the model, as are deliveries of surface water. Private irrigation pumping and recharge associated with agricultural land use were estimated by using the Farm Process in MODFLOW-OWHM, which simulates landscape processes associated with irrigated agriculture and other land uses. The distribution of hydraulic conductivity in the aquifer system was constrained by using data from more than 3,500 drillers' logs. The model was calibrated to 4,061 measured groundwater levels in 109 wells and 2,739 mean monthly surface-water flows measured at 6 streamgages during 1960-2004 by using a semi-automated method of parameter estimation.</p>\n<p>The model fit to groundwater levels was good, with an absolute mean residual of 0.8 feet; 74 percent of simulated heads were within 10 feet of those observed. The model fit to streamflow was biased low, but reasonable overall; the absolute mean residual of streamflow was 780 cubic feet per second, and 68 percent of simulated streamflows were within 500 cubic feet per second of observed. Hydrographs both of groundwater levels and streamflow indicated overall an acceptable fit to observed trends.</p>\n<p>Simulated private agricultural pumpage ranged from about 780,000 to 1,380,000 acre-feet per year and averaged about 1,000,000 acre-feet per year from 1960 to 2004. Simulated deep percolation, or groundwater recharge from precipitation and irrigation, varied with climate and land use from about 1,100,000 to 1,700,000 acre-feet per year, averaging 1,360,000 acre-feet per year. Key limitations of the model with respect to estimating these large components of the water budget are the uncertainty associated with actual irrigation deliveries and irrigation efficiencies and the lack of metered data for private agricultural groundwater pumping. Different assumptions with respect to irrigation deliveries and efficiencies, and other model input, would result in different estimates of private agricultural groundwater use.</p>\n<p>The simulated exchange between groundwater and surface water was a small percentage of streamflow, typically ranging within a loss or gain of about 2 cubic feet per second per mile. The simulated exchange compared reasonably with limited independent estimates available, but substantial uncertainty is associated with these estimates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155045","collaboration":"Prepared in cooperation with the Stanislaus and Tuolumne Rivers Groundwater Basin Association","usgsCitation":"Phillips, S.P., Rewis, D.L., and Traum, J.A., 2015, Hydrologic model of the Modesto Region, California, 1960-2004: U.S. Geological Survey Scientific Investigations Report 2015-5045, x, 69 p., https://doi.org/10.3133/sir20155045.","productDescription":"x, 69 p.","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-014014","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":301085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155045.jpg"},{"id":301082,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5045/"},{"id":301084,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5045/downloads/sir2015-5045_fig21supplement.xls","text":"Supplement to figure 21","size":"3.1 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5045 Supplement to figure 21"},{"id":301083,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5045/pdf/sir2015-5045.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5045 Report"}],"projection":"Albers equal area conic projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Modesto","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.38381958007812,\n              37.56308554496544\n            ],\n            [\n              -121.38381958007812,\n              37.565262680889965\n            ],\n            [\n              -121.34948730468749,\n              37.565262680889965\n            ],\n            [\n              -121.34948730468749,\n              37.56308554496544\n            ],\n            [\n              -121.38381958007812,\n              37.56308554496544\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.33575439453126,\n              37.57505900514994\n            ],\n            [\n              -120.838623046875,\n              37.9051994823157\n            ],\n            [\n              -120.39093017578125,\n              37.470498470798724\n            ],\n            [\n              -120.96633911132812,\n              37.11543110112874\n            ],\n            [\n              -121.33575439453126,\n              37.57505900514994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5578001de4b032353cbeb6b3","contributors":{"authors":[{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rewis, Diane L. dlrewis@usgs.gov","contributorId":1511,"corporation":false,"usgs":true,"family":"Rewis","given":"Diane","email":"dlrewis@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548353,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154932,"text":"70154932 - 2015 - Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities","interactions":[],"lastModifiedDate":"2018-02-27T18:16:26","indexId":"70154932","displayToPublicDate":"2015-06-09T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1663,"text":"Fishery Bulletin","printIssn":"0090-0656","active":true,"publicationSubtype":{"id":10}},"title":"Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities","docAbstract":"<p>Oysters are often cited as &ldquo;ecosystem engineers&rdquo; because they modify their environment. Coastal Louisiana contains extensive oyster reef areas that have been harvested for decades, and whether differences in habitat functions exist between those areas and nonharvested reefs is unclear. We compared reef physical structure and resident community metrics between these 2 subtidal reef types. Harvested reefs were more fragmented and had lower densities of live eastern oysters (<i>Crassostrea virginica</i>) and hooked mussels (<i>Ischadium recurvum</i>) than the nonharvested reefs. Stable isotope values (<sup>13</sup>C and <sup>15</sup>N) of dominant nekton species and basal food sources were used to compare food web characteristics. Nonpelagic source contributions and trophic positions of dominant species were slightly elevated at harvested sites. Oyster harvesting appeared to have decreased the number of large oysters and to have increased the percentage of reefs that were nonliving by decreasing water column filtration and benthopelagic coupling. The differences in reef matrix composition, however, had little effect on resident nekton communities. Understanding the thresholds of reef habitat areas, the oyster density or oyster size distribution below which ecosystem services may be compromised, remains key to sustainable management.</p>","language":"English","publisher":"U.S. National Oceanic and Atmospheric Administration ","doi":"10.7755/FB.113.3.8","usgsCitation":"Beck, S., and LaPeyre, M.K., 2015, Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities: Fishery Bulletin, v. 113, no. 3, p. 327-340, https://doi.org/10.7755/FB.113.3.8.","productDescription":"14 p.","startPage":"327","endPage":"340","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039257","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7755/fb.113.3.8","text":"Publisher Index Page"},{"id":324972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Calcasieu Lake, Sabine Lake, Sister Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.06494140625,\n              29.036960648558267\n            ],\n            [\n              -94.06494140625,\n              30.221101852485987\n            ],\n            [\n              -90.802001953125,\n              30.221101852485987\n            ],\n            [\n              -90.802001953125,\n              29.036960648558267\n            ],\n            [\n              -94.06494140625,\n              29.036960648558267\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"113","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780ceb6e4b081161682231e","contributors":{"authors":[{"text":"Beck, Steve","contributorId":172773,"corporation":false,"usgs":false,"family":"Beck","given":"Steve","email":"","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":641996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564378,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137557,"text":"70137557 - 2015 - Assessment of general health of fishes collected at selected sites in the Great Lakes Basin In 2012","interactions":[],"lastModifiedDate":"2015-11-17T09:45:04","indexId":"70137557","displayToPublicDate":"2015-06-09T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"112-2015","subseriesTitle":"Cooperator Science Series","title":"Assessment of general health of fishes collected at selected sites in the Great Lakes Basin In 2012","docAbstract":"<p>During the past decade, there has been a substantive increase in the detection of &ldquo;emerging contaminants&rdquo;, defined as a new substance, chemical, or metabolite in the environment; or a legacy substance with a newly expanded distribution, altered release, or a newly recognized effect (such as endocrine disruption). Emerging contaminants include substances such as biogenic hormones (human and animal), brominated flame retardants, pharmaceuticals, personal care products, plasticizers, current use pesticides, detergents, and nanoparticles. These contaminants are frequently not regulated or inadequately regulated by state or Federal water quality programs. Information about the toxicity of these substances to fish and wildlife resources is generally limited, compared to more highly regulated contaminants, and some classes have been shown to cause affects (for example feminization of male fish, immunomodulation) that are not evaluated via traditional toxicity testing protocols. As a result, these compounds may pose a substantial, but currently poorly documented threat to aquatic ecosystems. Failure to identify and understand the impacts of these emerging contaminants on fish and wildlife resources may result in deleterious impacts to Great Lakes resources that can result in adverse ecological, economic and recreational consequences.</p>\n<p>The U. S. Fish and Wildlife Service received funding through the Great Lakes Restoration Initiative (GLRI) for an Early Warning Program to detect and identify emerging contaminants and to evaluate the effects of these contaminants on fish and wildlife. The U.S. Geological Survey (WV Cooperative Fish and Wildlife Research Unit and National Fish Health Research Laboratory, Leetown Science Center) developed and implemented a biological effects monitoring protocol to assist in this program. Fish collections and measurements of biomarkers of exposure in Fall 2010 and Spring 2011 occurred at individual sites within select Areas of Concern (AOCs). They provided an assessment of the utility of the suite of biomarkers and also identified sites for more in-depth analyses. Selected areas are characterized as areas with known emerging contaminants, sensitive or listed species, areas downstream from municipal wastewater discharges or receiving waters for industrial facilities, and/or areas susceptible to agricultural or urban contamination, or harbors or ports. The results of the 2010- 2011 studies were summarized in Blazer et al. 2014 a, b, c; Braham et al. in review and Blazer et al. in review.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Mazik, P.M., Braham, R., Hahn, C.M., and Blazer, V., 2015, Assessment of general health of fishes collected at selected sites in the Great Lakes Basin In 2012, ii, 26.","productDescription":"ii, 26","numberOfPages":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061682","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":311410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311409,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/singleitem/collection/document/id/2086/rec/1"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.46044921875,\n              40.329795743702064\n            ],\n            [\n              -94.46044921875,\n              50.05008477838258\n            ],\n            [\n              -74.8388671875,\n              50.05008477838258\n            ],\n            [\n              -74.8388671875,\n              40.329795743702064\n            ],\n            [\n              -94.46044921875,\n              40.329795743702064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564c5dc1e4b0ebfbef0d346b","contributors":{"authors":[{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":537897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braham, Ryan P.","contributorId":97427,"corporation":false,"usgs":true,"family":"Braham","given":"Ryan P.","affiliations":[],"preferred":false,"id":579980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hahn, Cassidy M. cmhahn@usgs.gov","contributorId":5321,"corporation":false,"usgs":true,"family":"Hahn","given":"Cassidy","email":"cmhahn@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":579981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":579982,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048662,"text":"70048662 - 2015 - Mapping wetlands and surface water in the Prairie Pothole Region of North America: Chapter 16","interactions":[],"lastModifiedDate":"2017-03-24T15:41:18","indexId":"70048662","displayToPublicDate":"2015-06-09T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mapping wetlands and surface water in the Prairie Pothole Region of North America: Chapter 16","docAbstract":"<p>The Prairie Pothole Region (PPR) is one of the most highly productive wetland regions in the world. Prairie Pothole wetlands serve as a primary feeding and breeding habitat for more than one-half of North America’s waterfowl population, as well as a variety of songbirds, waterbirds, shorebirds, and other wildlife. During the last century, extensive land conversions from grassland with wetlands to cultivated cropland and grazed pastureland segmented and reduced wetland habitat. Inventorying and characterizing remaining wetland habitat is critical for the management of wetland ecosystem services. Remote sensing technologies are often utilized for mapping and monitoring wetlands. This chapter presents background specific to the PPR and discusses approaches employed in mapping its wetlands before presenting a case study.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of wetlands: Applications and advances","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","isbn":"9781482237351","usgsCitation":"Rover, J.R., and Mushet, D.M., 2015, Mapping wetlands and surface water in the Prairie Pothole Region of North America: Chapter 16, chap. <i>of</i> Remote sensing of wetlands: Applications and advances, p. 347-368.","productDescription":"22 p.","startPage":"347","endPage":"368","ipdsId":"IP-045855","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":338323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Prairie Pothole Region","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d63038e4b05ec7991310ed","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":518225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":518224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147956,"text":"ofr20151092 - 2015 - Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015","interactions":[],"lastModifiedDate":"2015-06-08T14:04:53","indexId":"ofr20151092","displayToPublicDate":"2015-06-08T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1092","title":"Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015","docAbstract":"<p>Limnogeology is the study of modern lakes and lake deposits in the geologic record. Limnogeologists have been active since the 1800s, but interest in limnogeology became prevalent in the early 1990s when it became clear that lake deposits contain continental environmental and climate records. A society that is focused on limnogeology would allow greater communication and access to research on these important subjects and contribute to providing sound science used to understand rapid global changes in our modern world; thus, the International Association of Limnogeology was founded in 1995 at the first International Limnogeology Congress (ILIC) held in Copenhagen, Denmark.</p>\n<p>The Sixth International Limnogeology Congress (ILIC6) was held in Reno, Nevada, from June 15&ndash;19, 2015. The ILIC meetings have been held every 4 years since the first meeting in1995 and were subsequently convened in Brest, France (1999), Tucson, Arizona, USA (2003), Barcelona, Spain (2007), and Konstanz, Germany (2011). The Congress in Reno, USA marks the second time the Congress has been held in the United States and more than 150 scientists from every part of the world participated. About one-half of the participants were from North America, together with scientists from Europe, South America, Asia, Africa, Australia, and New Zealand. The format of the Reno Congress followed the format originated at the Tucson Congress (ILIC3), which is unusual for scientific meetings. Nine keynote speakers spread throughout the Congress gave 1-hour talks, with the rest of the time available for viewing posters that were presented by the bulk of the participants. Keynote presentations were diverse and showed the breadth of research that is being done in lake systems worldwide. The abstracts of the keynote speakers and about 140 poster presentations are included in this volume. These posters cover a variety of limnologic, paleolimnologic, and limnogeologic topics including contaminant histories of lakes, the role of groundwater in lake processes, the formation of minerals in lake sediments, terminal lakes, how lakes reveal climate changes and paleohydrologic processes, the impact of volcanic emissions on lakes, as well as the biologic and chemical evolution of lake systems.</p>\n<p>The U.S. Geological Survey has sponsored each ILIC that has been held in the United States because of the importance of understanding paleoclimate and contaminant histories of lakes, two main themes of the Congress. This volume provides a permanent record of the wide variety of studies that are being conducted in modern lakes and ancient lake deposits worldwide, and it provides a stepping stone for any one desiring further discussion of the work that was presented at ILIC6.</p>","conferenceTitle":"Sixth International Limnogeology Congress","conferenceDate":"June 15-19, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151092","collaboration":"Prepared in cooperation with the International Association of Limnogeology","usgsCitation":"2015, Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015: U.S. Geological Survey Open-File Report 2015-1092, vi, 244 p., https://doi.org/10.3133/ofr20151092.","productDescription":"vi, 244 p.","numberOfPages":"254","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064519","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":301079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151092.jpg"},{"id":301076,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1092/"},{"id":301078,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20151108","text":"Open-File Report 2015-1108","description":"Open-File Report 2015-1108","linkHelpText":"Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015"},{"id":301077,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1092/pdf/ofr2015-1092.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5576ae9ae4b032353cb4a449","contributors":{"editors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548310,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":548311,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kirby, Matthew","contributorId":140654,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":548312,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Gierlowski-Kordesch, Elizabeth","contributorId":140655,"corporation":false,"usgs":false,"family":"Gierlowski-Kordesch","given":"Elizabeth","email":"","affiliations":[{"id":12807,"text":"Ohio University","active":true,"usgs":false}],"preferred":false,"id":548313,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548314,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Valero Garces, Blas L.","contributorId":140656,"corporation":false,"usgs":false,"family":"Valero Garces","given":"Blas","email":"","middleInitial":"L.","affiliations":[{"id":13545,"text":"Instituto Pirenaico de Ecología-CSIC","active":true,"usgs":false}],"preferred":false,"id":548315,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Varekamp, Johan","contributorId":140657,"corporation":false,"usgs":false,"family":"Varekamp","given":"Johan","affiliations":[{"id":13546,"text":"Wesleyan University","active":true,"usgs":false}],"preferred":false,"id":548316,"contributorType":{"id":2,"text":"Editors"},"rank":7}]}}
,{"id":70148286,"text":"ofr20151108 - 2015 - Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015","interactions":[],"lastModifiedDate":"2015-06-08T11:58:36","indexId":"ofr20151108","displayToPublicDate":"2015-06-08T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1108","title":"Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015","docAbstract":"<p>Limnogeology is the study of modern lakes and lake deposits in the geologic record. Limnogeologists have been active since the 1800s, but interest in Limnogeology became prevalent in the early 1990s when it became clear that lake deposits contain continental environmental and climate records. A society that is focused on Limnogeology would allow greater communication and access to research on these important subjects and contribute to providing sound science used to understand rapid global changes in our modern world; thus the International Association of Limnogeology was founded in 1995 at the first International Limnogeology Congress (ILIC) held in Copenhagen, Denmark.</p>\n<p>The Sixth International Limnogeology Congress (ILIC6) was held in Reno, Nevada, from June 15&ndash;19, 2015. The ILIC meetings have been held every 4 years since the first meeting in1995 and were subsequently convened in Brest, France (1999), Tucson, USA (2003), Barcelona, Spain (2007), and Konstanz, Germany (2011). The Congress in Reno, USA marks the second time the Congress has been held in the United States and more than 150 scientists from every part of the world participated.</p>\n<p>As part of the Congress, ILIC6 included pre- and post- Congress field trips, the descriptions of which are included as separate trips in this Open-File Report. Trip 1 provides information on the pluvial and post-glacial Lakes of the eastern Great Basin, led by Paul Jewell, University of Utah, Ben Laabs, State University of New York-Geneseo, Jeff Munroe, Middlebury College, and Jack Oviatt, Kansas State University. Trip 2 contains information on the lake sequences of closed-basin lakes in the Eocene Green River Formation in Wyoming, led by Michael Smith, Northern Arizona University and Jennifer Scott, Mount Royal University. Trip 3 provides the background for the field trip to Pleistocene and modern lakes in the Great Basin of North America that was led by Susan Zimmerman, Lawrence Livermore National Laboratory, Ken Adams, Desert Research Institute, and Michael Rosen, U.S. Geological Survey. Trip 4 contains the information for a trip to the modern lakes in Lassen National Park that was led by Paula Noble and Kerry Howard, both from the University of Nevada, Reno.</p>\n<p>The U.S. Geological Survey has sponsored each ILIC that has been held in the United States because of the importance of understanding paleoclimate and contaminant histories of lakes, two main themes of the Congress. This field trip guide provides a permanent record of some of the wide variety of studies that are being conducted in modern lakes and ancient lake deposits in western North America, and it provides a starting point for any one desiring to visit these exceptional sites or begin work in these areas.</p>","conferenceTitle":"Sixth International Limnogeology Congress","conferenceDate":"June 15-19, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151108","collaboration":"Prepared in cooperation with the International Association of Limnogeology","usgsCitation":"2015, Sixth International Limnogeology Congress: field trip guidebook, Reno, Nevada, June 15-19, 2015: U.S. Geological Survey Open-File Report 2015-1108, vi, 100 p., https://doi.org/10.3133/ofr20151108.","productDescription":"vi, 100 p.","numberOfPages":"110","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064866","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":301074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151108.jpg"},{"id":301072,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1108/pdf/ofr2015-1108.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301073,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20151092","text":"Open-File Report 2015-1092","description":"Open-File Report 2015-1092","linkHelpText":"Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015"},{"id":301071,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1108/"}],"country":"United States","state":"California, Nevada, Utah, Wyoming","otherGeospatial":"Great Basin, Lassen Volcanic National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.0872802734375,\n              41.04828819952275\n            ],\n            [\n              -115.521240234375,\n              40.18516846826054\n            ],\n            [\n              -115.48828125000001,\n              40.13899044275822\n            ],\n            [\n              -115.24383544921875,\n              40.327701904195926\n            ],\n            [\n              -115.10650634765625,\n              40.67647212850004\n            ],\n            [\n              -114.02297973632812,\n              40.74517613004631\n            ],\n            [\n              -113.65768432617188,\n              40.959159772134896\n       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,{"id":70148452,"text":"70148452 - 2015 - Landscape disturbance from unconventional and conventional oil and gas development in the Marcellus Shale region of Pennsylvania, USA","interactions":[],"lastModifiedDate":"2022-11-14T17:34:28.469263","indexId":"70148452","displayToPublicDate":"2015-06-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"title":"Landscape disturbance from unconventional and conventional oil and gas development in the Marcellus Shale region of Pennsylvania, USA","docAbstract":"<p><span>The spatial footprint of unconventional (hydraulic fracturing) and conventional oil and gas development in the Marcellus Shale region of the State of Pennsylvania was digitized from high-resolution, ortho-rectified, digital aerial photography, from 2004 to 2010. We used these data to measure the spatial extent of oil and gas development and to assess the exposure of the extant natural resources across the landscape of the watersheds in the study area. We found that either form of development: (1) occurred in ~50% of the 930 watersheds that defined the study area; (2) was closer to streams than the recommended safe distance in ~50% of the watersheds; (3) was in some places closer to impaired streams and state-defined wildland trout streams than the recommended safe distance; (4) was within 10 upstream kilometers of surface drinking water intakes in ~45% of the watersheds that had surface drinking water intakes; (5) occurred in ~10% of state-defined exceptional value watersheds; (6) occurred in ~30% of the watersheds with resident populations defined as disproportionately exposed to pollutants; (7) tended to occur at interior forest locations; and (8) had &gt;100 residents within 3 km for ~30% of the unconventional oil and gas development sites. Further, we found that exposure to the potential effects of landscape disturbance attributable to conventional oil and gas development was more prevalent than its unconventional counterpart.</span></p>","language":"English","publisher":"MDPI","publisherLocation":"Basel, Switzerland","doi":"10.3390/environments2020200","usgsCitation":"Slonecker, T.E., and Milheim, L., 2015, Landscape disturbance from unconventional and conventional oil and gas development in the Marcellus Shale region of Pennsylvania, USA: Environments, v. 2, no. 2, p. 200-220, https://doi.org/10.3390/environments2020200.","productDescription":"21 p.","startPage":"200","endPage":"220","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060471","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments2020200","text":"Publisher Index Page"},{"id":306663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Marcellus Shale region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.53700943985835,\n              39.858770491692525\n            ],\n            [\n              -75.94119467051401,\n              40.343724405280796\n            ],\n            [\n              -74.31416203114968,\n              41.136613984593424\n            ],\n            [\n              -75.42940506094872,\n              41.98252460542756\n            ],\n            [\n              -79.77579741680867,\n              42.02225947674938\n            ],\n            [\n              -79.89037718014443,\n              42.20358852900213\n            ],\n            [\n              -80.53202385482297,\n              41.97684616967814\n            ],\n            [\n              -80.54730115660134,\n              39.73552379388724\n            ],\n            [\n              -78.82096605567959,\n              39.70614679531755\n            ],\n            [\n              -78.69874764145489,\n              40.425182945651585\n            ],\n            [\n              -78.04946231588691,\n              41.021453137217605\n            ],\n            [\n              -76.71269841030623,\n              41.2573156562668\n            ],\n            [\n              -76.84255547541991,\n              40.894543228560565\n            ],\n            [\n              -76.52937078896939,\n              40.923407813957596\n            ],\n            [\n              -78.25570588989113,\n              39.89980363356864\n            ],\n            [\n              -78.28626049344695,\n              39.676757283700994\n            ],\n            [\n              -77.69044572410263,\n              39.73552379388724\n            ],\n            [\n              -77.04116039853469,\n              40.16883881318182\n            ],\n            [\n              -76.51409348719147,\n              40.81943634649028\n            ],\n            [\n              -76.04049713207142,\n              40.73845679874668\n            ],\n            [\n              -76.84255547541991,\n              40.11044319933444\n            ],\n            [\n              -76.53700943985835,\n              39.858770491692525\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-08","publicationStatus":"PW","scienceBaseUri":"55cdbfb6e4b08400b1fe140c","contributors":{"authors":[{"text":"Slonecker, Terry E. tslonecker@usgs.gov","contributorId":446,"corporation":false,"usgs":true,"family":"Slonecker","given":"Terry","email":"tslonecker@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":548237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milheim, Lesley E. lmilheim@usgs.gov","contributorId":2560,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","email":"lmilheim@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":548239,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70150458,"text":"70150458 - 2015 - Control of nitrogen and phosphorus transport by reservoirs in agricultural landscapes","interactions":[],"lastModifiedDate":"2018-07-16T15:20:21","indexId":"70150458","displayToPublicDate":"2015-06-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Control of nitrogen and phosphorus transport by reservoirs in agricultural landscapes","docAbstract":"<p>Reservoirs often receive excess nitrogen (N) and phosphorus (P) lost from agricultural land, and may subsequently influence N and P delivery to inland and coastal waters through internal processes such as nutrient burial, denitrification, and nutrient turnover. Currently there is a need to better understand how reservoirs affect nutrient transport in agricultural landscapes, where few prior studies have provided joint views on the variation in net retention/loss among reservoirs, the role of reservoirs apart from natural lakes, and differences in effects on N versus P, especially over time frames &gt;1 year. To address these needs, we compiled water quality data from many rivers in intermediate-to-large drainages of the Midwestern US, including tributaries to the Upper Mississippi River, Great Lakes, and Ohio River Basins, where cropland often covers &gt;50 % of the contributing area. Incorporating 18 years of data (1990–2007), effects of reservoirs on river nutrient transport were examined using comparisons between reservoir out- flow sites and unimpeded river sites (N = 869, including 100 reservoir outflow sites) supported by mass balance analysis of individual reservoirs (n = 17). Reservoir outflows sites commonly had 20 % lower annual yields (mass per catchment area per year) of total N and total P (TP) than unimpeded rivers after accounting for cropland coverage. Reservoir outflow sites also had lower interannual variability in TP yields. The mass balance approach confirmed net N losses in reservoirs, suggesting denitrification of agricultural N, or N burial in sediments. Net retention of P ranged more widely, and multiple systems showed net P export, providing new evidence that legacy P within reservoir systems may mobilize over the long-term. Our results indicate that reservoirs broadly influence the downstream transport of N and P through agricultural river networks, including networks where natural lakes and wetlands are relatively scarce. This calls for a more complete understanding of agricultural reservoirs as open, connected features of river networks where biogeochemical processes are often influential to downstream water quality, but potentially sensitive to changes associated with sedimentation, eutrophication, infrastructure aging, and reservoir management.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-015-0106-3","usgsCitation":"Powers, S.M., Tank, J., and Robertson, D.M., 2015, Control of nitrogen and phosphorus transport by reservoirs in agricultural landscapes: Biogeochemistry, v. 124, p. 417-439, https://doi.org/10.1007/s10533-015-0106-3.","productDescription":"23 p.","startPage":"417","endPage":"439","ipdsId":"IP-056109","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":355702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Midwest, Upper Mississippi River, Great Lakes, Ohio River Basin","volume":"124","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-22","publicationStatus":"PW","scienceBaseUri":"5b6fcbf3e4b0f5d57878ecc3","contributors":{"authors":[{"text":"Powers, Stephen M.","contributorId":35238,"corporation":false,"usgs":false,"family":"Powers","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tank, Jennifer L.","contributorId":103870,"corporation":false,"usgs":true,"family":"Tank","given":"Jennifer L.","affiliations":[],"preferred":false,"id":556911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556909,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143609,"text":"70143609 - 2015 - Geomorphic consequences of volcanic eruptions in Alaska: A review","interactions":[],"lastModifiedDate":"2021-04-26T17:54:39.089956","indexId":"70143609","displayToPublicDate":"2015-06-06T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic consequences of volcanic eruptions in Alaska: A review","docAbstract":"<p id=\"sp0005\">Eruptions of Alaska volcanoes have significant and sometimes profound geomorphic consequences on surrounding landscapes and ecosystems. The effects of eruptions on the landscape can range from complete burial of surface vegetation and preexisting topography to subtle, short-term perturbations of geomorphic and ecological systems. In some cases, an eruption will allow for new landscapes to form in response to the accumulation and erosion of recently deposited volcaniclastic material. In other cases, the geomorphic response to a major eruptive event may set in motion a series of landscape changes that could take centuries to millennia to be realized. The effects of volcanic eruptions on the landscape and how these effects influence surface processes has not been a specific focus of most studies concerned with the physical volcanology of Alaska volcanoes. Thus, what is needed is a review of eruptive activity in Alaska in the context of how this activity influences the geomorphology of affected areas. To illustrate the relationship between geomorphology and volcanic activity in Alaska, several eruptions and their geomorphic impacts will be reviewed. These eruptions include the 1912 Novarupta–Katmai eruption, the 1989–1990 and 2009 eruptions of Redoubt volcano, the 2008 eruption of Kasatochi volcano, and the recent historical eruptions of Pavlof volcano. The geomorphic consequences of eruptive activity associated with these eruptions are described, and where possible, information about surface processes, rates of landscape change, and the temporal and spatial scale of impacts are discussed.</p><p id=\"sp0010\">A common feature of volcanoes in Alaska is their extensive cover of glacier ice, seasonal snow, or both. As a result, the generation of meltwater and a variety of sediment–water mass flows, including debris-flow lahars, hyperconcentrated-flow lahars, and sediment-laden water floods, are typical outcomes of most types of eruptive activity. Occasionally, such flows can be quite large, with flow volumes in the range of 10<sup>7</sup>–10<sup>9</sup>&nbsp;m<sup>3</sup>. A review of the lahars generated during the 2009 eruption of Redoubt volcano will illustrate the geomorphic impacts of lahars on stream channels and riparian habitat. Although much work is needed to develop a comprehensive understanding of the geomorphic consequences of volcanic activity in Alaska, this review provides a synthesis of some of the best-studied eruptions and perhaps will serve as a starting point for future work on this topic.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.geomorph.2015.06.004","usgsCitation":"Waythomas, C.F., 2015, Geomorphic consequences of volcanic eruptions in Alaska: A review: Geomorphology, v. 246, p. 123-145, https://doi.org/10.1016/j.geomorph.2015.06.004.","productDescription":"23 p.","startPage":"123","endPage":"145","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064492","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":310296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -149.94140625,\n              63.74363097533544\n            ],\n            [\n              -144.05273437499997,\n              59.95501026206206\n            ],\n            [\n              -149.0185546875,\n              57.302789656350086\n            ],\n            [\n              -154.8193359375,\n              54.29088164657006\n            ],\n            [\n              -158.9501953125,\n              53.82659674299413\n            ],\n            [\n              -163.828125,\n              52.26815737376817\n            ],\n            [\n              -172.96875,\n              50.233151832472245\n            ],\n            [\n              -179.7802734375,\n              49.809631563563094\n            ],\n            [\n              -187.55859375,\n              50.45750402042058\n            ],\n            [\n              -193.4912109375,\n              52.855864177853995\n            ],\n            [\n              -191.0302734375,\n              54.826007999094955\n            ],\n            [\n              -181.494140625,\n              53.930219863940025\n            ],\n            [\n              -170.595703125,\n              55.47885346331034\n            ],\n            [\n              -162.9052734375,\n              57.7041472343419\n            ],\n            [\n              -149.94140625,\n              63.74363097533544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"246","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5628b733e4b0d158f5926c20","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":542804,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70147788,"text":"ds933 - 2015 - Hydrologic data from wells at or in the vicinity of the San Juan coal mine, San Juan County, New Mexico","interactions":[],"lastModifiedDate":"2015-06-05T12:48:35","indexId":"ds933","displayToPublicDate":"2015-06-05T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"933","title":"Hydrologic data from wells at or in the vicinity of the San Juan coal mine, San Juan County, New Mexico","docAbstract":"<p><span>In 2010, in cooperation with the Mining and Minerals Division (MMD) of the State of New Mexico Energy, Minerals and Natural Resources Department, the U.S. Geological Survey (USGS) initiated a 4-year assessment of hydrologic conditions at the San Juan coal mine (SJCM), located about 14 miles west-northwest of the city of Farmington, San Juan County, New Mexico. The mine produces coal for power generation at the adjacent San Juan Generating Station (SJGS) and stores coal-combustion byproducts from the SJGS in mined-out surface-mining pits. The purpose of the hydrologic assessment is to identify groundwater flow paths away from SJCM coal-combustion-byproduct storage sites that might allow metals that may be leached from coal-combustion byproducts to eventually reach wells or streams after regional dewatering ceases and groundwater recovers to predevelopment levels. The hydrologic assessment, undertaken between 2010 and 2013, included compilation of existing data. The purpose of this report is to present data that were acquired and compiled by the USGS for the SJCM hydrologic assessment.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds933","collaboration":"Prepared in cooperation with the Mining and Minerals Division of the State of New Mexico Energy, Minerals and Natural Resources Department","usgsCitation":"Stewart, A.M., and Thomas, N., 2015, Hydrologic data from wells at or in the vicinity of the San Juan coal mine, San Juan County, New Mexico: U.S. Geological Survey Data Series 933, HTML Document, https://doi.org/10.3133/ds933.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059091","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":301053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds933.jpg"},{"id":301051,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0933/"},{"id":301052,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0933/ds933.html","text":"Report","size":"19 KB","linkFileType":{"id":5,"text":"html"},"description":"Report"}],"country":"United States","state":"New Mexico","county":"San Juan County","otherGeospatial":"San Juan coal mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.24623107910156,\n              36.72402574695313\n            ],\n            [\n              -108.19747924804688,\n              36.76584198280488\n            ],\n            [\n              -108.18168640136719,\n              36.791140738852704\n            ],\n            [\n              -108.18168640136719,\n              36.8037869853087\n            ],\n            [\n              -108.15284729003906,\n              36.86039455866718\n            ],\n            [\n              -108.1391143798828,\n              36.88401445049676\n            ],\n            [\n              -108.13156127929686,\n              36.90762703795211\n            ],\n            [\n              -108.13499450683594,\n              36.929036787414525\n            ],\n            [\n              -108.16932678222656,\n              36.93836736111466\n            ],\n            [\n              -108.20091247558592,\n              36.94001381436853\n            ],\n            [\n              -108.22288513183594,\n              36.92848789456677\n            ],\n            [\n              -108.24829101562499,\n              36.89499795802219\n            ],\n            [\n              -108.26133728027344,\n              36.8631414329529\n            ],\n            [\n              -108.28125,\n              36.83346996591306\n            ],\n            [\n              -108.3306884765625,\n              36.82797398619907\n            ],\n            [\n              -108.39317321777344,\n              36.832370801556834\n            ],\n            [\n              -108.48518371582031,\n              36.79718920417815\n            ],\n            [\n              -108.49067687988281,\n              36.74328605437939\n            ],\n            [\n              -108.29498291015624,\n              36.72017310567465\n            ],\n            [\n              -108.24623107910156,\n              36.72402574695313\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5572ba25e4b077dba76c1b90","contributors":{"authors":[{"text":"Stewart, Anne M. astewart@usgs.gov","contributorId":3938,"corporation":false,"usgs":true,"family":"Stewart","given":"Anne","email":"astewart@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Nicole nithomas@usgs.gov","contributorId":5649,"corporation":false,"usgs":true,"family":"Thomas","given":"Nicole","email":"nithomas@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548226,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70139689,"text":"ofr20151010 - 2015 - Multi-elemental analysis of aqueous geochemical samples by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS)","interactions":[],"lastModifiedDate":"2015-06-05T11:58:22","indexId":"ofr20151010","displayToPublicDate":"2015-06-05T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1010","title":"Multi-elemental analysis of aqueous geochemical samples by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS)","docAbstract":"<p><span>Typically, quadrupole inductively coupled plasma-mass spectrometry (ICP-MS) is used to determine as many as 57 major, minor, and trace elements in aqueous geochemical samples, including natural surface water and groundwater, acid mine drainage water, and extracts or leachates from geological samples. The sample solution is aspirated into the inductively coupled plasma (ICP) which is an electrodeless discharge of ionized argon gas at a temperature of approximately 6,000 degrees Celsius. The elements in the sample solution are subsequently volatilized, atomized, and ionized by the ICP. The ions generated are then focused and introduced into a quadrupole mass filter which only allows one mass to reach the detector at a given moment in time. As the settings of the mass analyzer change, subsequent masses are allowed to impact the detector. Although the typical quadrupole ICP-MS system is a sequential scanning instrument (determining each mass separately), the scan speed of modern instruments is on the order of several thousand masses per second. Consequently, typical total sample analysis times of 2&ndash;3 minutes are readily achievable for up to 57 elements.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151010","usgsCitation":"Wolf, R.E., and Adams, M., 2015, Multi-elemental analysis of aqueous geochemical samples by quadrupole inductively coupled plasma-mass spectrometry (ICP-MS): U.S. Geological Survey Open-File Report 2015-1010, Report: iv, 34 p.; Downloads Directory, https://doi.org/10.3133/ofr20151010.","productDescription":"Report: iv, 34 p.; Downloads Directory","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056063","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":301050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151010.jpg"},{"id":301047,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1010/"},{"id":301048,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1010/pdf/ofr2015-1010.pdf","text":"Report","size":"700 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301049,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1010/downloads/ofr2015-1010_table1-2.xlsx","text":"Download","linkHelpText":"Contains table 1–2, a correction equations calculation worksheet with formulas used for calculations in the report"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5572ba27e4b077dba76c1b92","contributors":{"authors":[{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":539563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":539564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148345,"text":"fs20153041 - 2015 - Real-time, continuous water-quality monitoring in Indiana and Kentucky","interactions":[],"lastModifiedDate":"2015-06-05T09:36:36","indexId":"fs20153041","displayToPublicDate":"2015-06-05T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3041","title":"Real-time, continuous water-quality monitoring in Indiana and Kentucky","docAbstract":"<p><span>Water-quality &ldquo;super&rdquo; gages (also known as &ldquo;sentry&rdquo; gages) provide real-time, continuous measurements of the physical and chemical characteristics of stream water at or near selected U.S. Geological Survey (USGS) streamgages in Indiana and Kentucky. A super gage includes streamflow and water-quality instrumentation and representative stream sample collection for laboratory analysis. USGS scientists can use statistical surrogate models to relate instrument values to analyzed chemical concentrations at a super gage. Real-time, continuous and laboratory-analyzed concentration and load data are publicly accessible on USGS Web pages.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153041","usgsCitation":"Shoda, M.E., Lathrop, T., and Risch, M.R., 2015, Real-time, continuous water-quality monitoring in Indiana and Kentucky: U.S. Geological Survey Fact Sheet 2015-3041, 4 p., https://doi.org/10.3133/fs20153041.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061469","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":301044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153041.jpg"},{"id":301042,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70136054,"text":"70136054 - 2015 - Accounting for groundwater in stream fish thermal habitat responses to climate change","interactions":[],"lastModifiedDate":"2015-07-01T16:18:39","indexId":"70136054","displayToPublicDate":"2015-06-04T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for groundwater in stream fish thermal habitat responses to climate change","docAbstract":"<p><span>Forecasting climate change effects on aquatic fauna and their habitat requires an understanding of how water temperature responds to changing air temperature (i.e., thermal sensitivity). Previous efforts to forecast climate effects on brook trout habitat have generally assumed uniform air-water temperature relationships over large areas that cannot account for groundwater inputs and other processes that operate at finer spatial scales. We developed regression models that accounted for groundwater influences on thermal sensitivity from measured air-water temperature relationships within forested watersheds in eastern North America (Shenandoah National Park, USA, 78 sites in 9 watersheds). We used these reach-scale models to forecast climate change effects on stream temperature and brook trout thermal habitat, and compared our results to previous forecasts based upon large-scale models. Observed stream temperatures were generally less sensitive to air temperature than previously assumed, and we attribute this to the moderating effect of shallow groundwater inputs. Predicted groundwater temperatures from air-water regression models corresponded well to observed groundwater temperatures elsewhere in the study area. Predictions of brook trout future habitat loss derived from our fine-grained models were far less pessimistic than those from prior models developed at coarser spatial resolutions. However, our models also revealed spatial variation in thermal sensitivity within and among catchments resulting in a patchy distribution of thermally suitable habitat. Habitat fragmentation due to thermal barriers therefore may have an increasingly important role for trout population viability in headwater streams. Our results demonstrate that simple adjustments to air-water temperature regression models can provide a powerful and cost-effective approach for predicting future stream temperatures while accounting for effects of groundwater.</span><span><br /></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1354.1","usgsCitation":"Snyder, C.D., Hitt, N.P., and Young, J.A., 2015, Accounting for groundwater in stream fish thermal habitat responses to climate change: Ecological Applications, v. 25, no. 5, p. 1397-1419, https://doi.org/10.1890/14-1354.1.","productDescription":"23 p.","startPage":"1397","endPage":"1419","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057560","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":301041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70147914,"text":"sir20155056 - 2015 - Flood recovery maps for the White River in Bethel, Stockbridge, and Rochester, Vermont, and the Tweed River in Stockbridge and Pittsfield, Vermont, 2014","interactions":[],"lastModifiedDate":"2015-06-03T14:00:29","indexId":"sir20155056","displayToPublicDate":"2015-06-03T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5056","title":"Flood recovery maps for the White River in Bethel, Stockbridge, and Rochester, Vermont, and the Tweed River in Stockbridge and Pittsfield, Vermont, 2014","docAbstract":"<p>From August 28 to 29, 2011, Tropical Storm Irene delivered rainfall ranging from about 4 inches to more than 7 inches in the White River Basin. The rainfall resulted in severe flooding throughout the basin and significant damage along the White River and Tweed River. In response to the flooding, the U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, conducted a new flood study to aid in the flood recovery and restoration. This flood study includes a 20.7-mile reach of the White River from the downstream end at about 2,000 feet downstream from the State Route 107 bridge in the Village of Bethel, Vermont, to the upstream end at about 1,000 feet upstream from the River Brook Drive bridge in the Village of Rochester, Vt., and a 7.9-mile reach of the Tweed River from its mouth in Stockbridge, Vt., to the confluence of the West and South Branches of the Tweed River and continuing upstream on the South Branch Tweed River to the Pittsfield, Vt., town line.</p>\n<p>This report presents water-surface elevations determined for the study reaches using the U.S. Army Corps of Engineers one-dimensional step-backwater Hydrologic Engineering Center River Analysis System model, also known as HEC&ndash; RAS. The water-surface elevations were determined for floods having a 10-, 4-, 2-, 1-, and 0.2-percent annual exceedance probability (AEP) and for the floodway.</p>\n<p>Eighteen high-water marks from Tropical Storm Irene were available along the studied reaches. The discharges in the Tropical Storm Irene HEC&ndash;RAS model were adjusted so that the resulting water-surface elevations matched the high-water mark elevations along the study reaches. This allowed for an estimation of the water-surface profile throughout the study area resulting from Tropical Storm Irene. From a comparison of the estimated water-surface profile of Tropical Storm Irene to the water-surface profiles of the 1- and 0.2-percent AEP floods, it was determined that the high-water elevations resulting from Tropical Storm Irene exceeded the estimated 1-percent AEP flood throughout the White River and Tweed River study reaches and exceeded the estimated 0.2-percent AEP flood in 16.7 of the 28.6 study reach miles. The simulated water-surface profiles were then combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data having a 18.2-centimeter vertical accuracy at the 95-percent confidence level and 1-meter horizontal resolution to delineate the area flooded for each water-surface profile.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155056","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Olson, S.A., 2015, Flood recovery maps for the White River in Bethel, Stockbridge, and Rochester, Vermont, and the Tweed River in Stockbridge and Pittsfield, Vermont, 2014: U.S. Geological Survey Scientific Investigations Report 2015-5056, Report: vi, 32 p.; Readme; Map file and datasets; Metadata, https://doi.org/10.3133/sir20155056.","productDescription":"Report: vi, 32 p.; Readme; Map file and datasets; Metadata","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-01-01","temporalEnd":"2014-12-31","ipdsId":"IP-057993","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":301023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155056.jpg"},{"id":301018,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5056/"},{"id":301019,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5056/pdf/sir2015-5056.pdf","text":"Report","size":"2.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301020,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5056/attachments/sir2015-5056_readme.txt","text":"Readme","size":"1.09 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Readme"},{"id":301021,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5056/attachments/sir2015-5056_map.zip","text":"Map file and datasets","size":"2.11 GB","linkFileType":{"id":6,"text":"zip"},"description":"Map file and datasets","linkHelpText":"Contains the published map file and the map dataset. For use with ArcReader, which is free and available at http://www.esri.com/software/argis/arcreader"},{"id":301022,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5056/attachments/sir2015-5056_metadata.zip","text":"Metadata","size":"162 KB","linkFileType":{"id":6,"text":"zip"},"description":"Metadata","linkHelpText":"The metadata for the map contents"}],"country":"United States","state":"Vermont","city":"Bethel, Pittsfield, Rochester, Stockbridge","otherGeospatial":"Tweed River, White River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.8122329711914,\n              43.88205730390537\n            ],\n            [\n              -72.80502319335938,\n              43.88279966767229\n            ],\n            [\n              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,{"id":70148369,"text":"70148369 - 2015 - Turbidity alters pre-mating social interactions between native and invasive stream fishes","interactions":[],"lastModifiedDate":"2015-08-17T15:17:46","indexId":"70148369","displayToPublicDate":"2015-06-03T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Turbidity alters pre-mating social interactions between native and invasive stream fishes","docAbstract":"<ol id=\"fwb12610-list-0001\" class=\"numbered\">\n<li>Environmental degradation can result in the loss of aquatic biodiversity if impairment promotes hybridisation between non-native and native species. Although aquatic biological invasions involving hybridisation have been attributed to elevated water turbidity, the extent to which impaired clarity influences reproductive isolation among non-native and native species is poorly understood.</li>\n<li>We examined whether turbidity influences intraspecific and interspecific pre-mating social interactions between invasive red shiner (<i>Cyprinella lutrensis</i>) and native blacktail shiner (<i>Cyprinella venusta</i>) from the Upper Coosa River Basin (U.S.A.).</li>\n<li>We found that the number or duration of conspecific and heterospecific interactions increased under turbid conditions. Additionally, we found evidence indicating that native blacktail shiner females are especially likely to interact with invasive red shiner males due to species- and sex-specific responses to turbid conditions.</li>\n<li>These findings suggest that elevated turbidity can increase pre-mating social interactions between native and invasive species, which could result in greater hybridisation and promote the genetic assimilation of native species following species introductions. Thus, integrating knowledge of species behaviour into conservation and management planning can help deter the establishment and spread of invasive species.</li>\n</ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12610","usgsCitation":"Glotzbecker, G., Ward, J.L., Walters, D.M., and Blum, M.J., 2015, Turbidity alters pre-mating social interactions between native and invasive stream fishes: Freshwater Biology, v. 60, no. 9, p. 1784-1793, https://doi.org/10.1111/fwb.12610.","productDescription":"10 p.","startPage":"1784","endPage":"1793","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051751","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":301016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-02","publicationStatus":"PW","scienceBaseUri":"5570171ee4b0d9246a9fd155","contributors":{"authors":[{"text":"Glotzbecker, Gregory J.","contributorId":140993,"corporation":false,"usgs":false,"family":"Glotzbecker","given":"Gregory J.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":547882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Jessica L.","contributorId":13855,"corporation":false,"usgs":true,"family":"Ward","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":547883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":140992,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, Michael J.","contributorId":19057,"corporation":false,"usgs":true,"family":"Blum","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":547884,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70158917,"text":"70158917 - 2015 - Building sandbars in the Grand Canyon","interactions":[],"lastModifiedDate":"2018-02-21T13:53:10","indexId":"70158917","displayToPublicDate":"2015-06-03T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Building sandbars in the Grand Canyon","docAbstract":"<p>In 1963, the U.S. Department of the Interior&rsquo;s Bureau of Reclamation finished building Glen Canyon Dam on the Colorado River in northern Arizona, 25 kilometers upstream from Grand Canyon National Park. The dam impounded 300 kilometers of the Colorado River, creating Lake Powell, the nation&rsquo;s second largest reservoir.</p>\n<p>By 1974, scientists found that the downstream river&rsquo;s alluvial sandbars were eroding because the reservoir trapped the fine sediment that replenished the deposits during annual floods. These sandbars are important structures for many kinds of life in and along the river.</p>\n<p>Now, by implementing a new strategy that calls for repeated releases of large volumes of water from the dam, the U.S. Department of the Interior (DOI) seeks to increase the size and number of these sandbars. Three years into the \"high-flow experiment\" (HFE) protocol, the releases appear to be achieving the desired effect. Many sandbars have increased in size following each controlled flood, and the cumulative results of the first three releases suggest that sandbar declines may be reversed if controlled floods can be implemented frequently enough.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2015EO030349","usgsCitation":"Grams, P.E., Schmidt, J.C., Wright, S., Topping, D.J., Melis, T., and Rubin, D.M., 2015, Building sandbars in the Grand Canyon: Eos, Earth and Space Science News, v. 96, p. 1-11, https://doi.org/10.1029/2015EO030349.","productDescription":"11 p.","startPage":"1","endPage":"11","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059907","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2015eo030349","text":"Publisher Index Page"},{"id":309718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56164232e4b0ba4884c6147c","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":576832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":576833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":576834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":576835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":576836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":576837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70147067,"text":"ofr20151082 - 2015 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2013","interactions":[],"lastModifiedDate":"2015-06-03T10:47:23","indexId":"ofr20151082","displayToPublicDate":"2015-06-03T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1082","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2013","docAbstract":"<p>Streamflow and concentrations of sodium and chloride estimated from records of specific conductance were used to calculate loads of sodium and chloride during water year (WY) 2013 (October 1, 2012, through September 30, 2013) for tributaries to the Scituate Reservoir, Rhode Island. Streamflow and water-quality data used in the study were collected by the U.S. Geological Survey (USGS) or the Providence Water Supply Board (PWSB) in the cooperative study. Streamflow was measured or estimated by the USGS following standard methods at 23 streamgages; 14 of these streamgages are equipped with instrumentation capable of continuously monitoring water level, specific conductance, and water temperature. Water-quality samples were collected at 37 sampling stations by the PWSB and at 14 continuous-record streamgages by the USGS during WY 2013 as part of a long-term sampling program; all stations are in the Scituate Reservoir drainage area. Water-quality data collected by the PWSB are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields (loads per unit area) of selected water-quality constituents for WY 2013.</p>\n<p>The largest tributary to the reservoir (the Ponaganset River, which was monitored by the USGS) contributed a mean streamflow of 30 cubic feet per second (ft<sup>3</sup>/s) to the reservoir during WY 2013. For the same time period, annual mean1 streamflows measured (or estimated) for the other monitoring stations in this study ranged from about 0.45 to about 19 ft<sup>3</sup>/s. Together, tributaries (equipped with instrumentation capable of continuously monitoring specific conductance) transported about 1,300,000 kilograms (kg) of sodium and 2,100,000 kg of chloride to the Scituate Reservoir during WY 2013; sodium and chloride yields for the tributaries ranged from 8,600 to 58,000 kilograms per square mile (kg/mi<sup>2</sup>) and from 14,000 to 97,000 kg/mi<sup>2</sup>, respectively.</p>\n<p>At the stations where water-quality samples were collected by the PWSB, the median of the median chloride concentrations was 18 milligrams per liter (mg/L), median nitrite concentration was 0.002 mg/L as nitrogen (N), median nitrate concentration was less than 0.01 mg/L as N, median orthophosphate concentration was 0.128 mg/L as phosphate, and median concentrations of total coliform bacteria and&nbsp;<i>Escherichia coli&nbsp;</i>(<i>E. coli</i>) were 330 and 15 colony-forming units per 100 milliliters (CFU/100mL), respectively. The medians of the median daily loads (and yields) of chloride, nitrite, nitrate, orthophosphate, and total coliform and&nbsp;<i>E. coli&nbsp;</i>bacteria were 100 kilograms per day (kg/d; 50 kilograms per day per square mile [kg/d/mi<sup>2</sup>]), 10 grams per day (g/d; 5.1 grams per day per square mile [g/d/mi<sup>2</sup>]), 73 g/d (28 g/d/mi<sup>2</sup>), 720 g/d (320 g/d/mi<sup>2</sup>), 21,000 colony-forming units per day (CFU&times;10<sup>6</sup>/d; 8,700 CFU&times;10<sup>6</sup>/d/mi<sup>2</sup>), and 1,000 CFU&times;10<sup>6</sup>/d (510 CFU&times;10<sup>6</sup>/d/mi<sup>2</sup>), respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151082","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Smith, K.P., 2015, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2013: U.S. Geological Survey Open-File Report 2015-1082, Report: v, 31 p.; Appendix, https://doi.org/10.3133/ofr20151082.","productDescription":"Report: v, 31 p.; Appendix","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-10-01","temporalEnd":"2013-09-30","ipdsId":"IP-056176","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":301013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151082.jpg"},{"id":301012,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1082/attachments/ofr2015-1082_appendix1.xlsx","text":"Appendix 1","size":"32 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1","linkHelpText":"Water-quality data collected by the Providence Water Supply Board at 37 monitoring stations in the Scituate Reservoir drainage area, Rhode Island, water year 2013."},{"id":301011,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1082/pdf/ofr2015-1082.pdf","text":"Report","size":"873 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301010,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1082/"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.78947448730469,\n              41.74160260664948\n            ],\n            [\n              -71.78947448730469,\n              41.92782492551717\n            ],\n            [\n              -71.5484619140625,\n              41.92782492551717\n            ],\n            [\n              -71.5484619140625,\n              41.74160260664948\n            ],\n            [\n              -71.78947448730469,\n              41.74160260664948\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570171de4b0d9246a9fd151","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545615,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70146944,"text":"ofr20151073 - 2015 - Southern Salish Sea Habitat Map Series: Admiralty Inlet","interactions":[],"lastModifiedDate":"2015-06-05T08:29:44","indexId":"ofr20151073","displayToPublicDate":"2015-06-03T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1073","subseriesTitle":"Southern Salish Sea Habitat Map Series","title":"Southern Salish Sea Habitat Map Series: Admiralty Inlet","docAbstract":"<p>In 2010 the Environmental Protection Agency, Region 10 initiated the Puget Sound Scientific Studies and Technical Investigations Assistance Program, designed to support research in support of implementing the Puget Sound Action Agenda. The Action Agenda was created in response to Puget Sound having been designated as one of 28 estuaries of national significance under section 320 of the U.S. Clean Water Act, and its overall goal is to restore the Puget Sound Estuary's environment by 2020. The Southern Salish Sea Mapping Project was funded by the Assistance Program request for proposals process, which also supports a large number of coastal-zone- and ocean-management issues. The issues include the recommendations of the Marine Protected Areas Work Group to the Washington State Legislature (Van Cleve and others, 2009), which endorses a Puget Sound and coast-wide marine conservation needs assessment, gap analysis of existing Marine Protected Areas (MPA) and recommendations for action. This publication is the first of four U.S. Geological Survey Scientific Investigation Maps that make up the Southern Salish Sea Mapping Project. The remaining three map blocks to be published in the future, located south of Admiralty Inlet, are shown in figure 1.</p>\n<p>Puget Sound is a deep, fjord-type estuary covering an area of 2,330 km<sup>2</sup> in the Pacific Northwest region of the United States (fig. 1). It is connected to the ocean by the Strait of Juan de Fuca, a turbulent passage approximately 160 km in length and 22 km wide at its west end, expanding to over 40 km wide at its east end (Thomson, 1994). During the Pleistocene, the area was occupied several times by lobes of continental ice, resulting in a complex basin-fill of glacial and interglacial deposits that are locally as thick as 1100 m (Johnson and others, 2001). The last glaciation, called the Fraser glaciation, began after 28,800&plusmn;740 <sup>14</sup>C yr B.P. when ice started a slow expansion (Clague, 1981). At peak advance the westward Juan de Fuca lobe reached the edge of the continental shelf through the Juan de Fuca Strait shortly before 14,460&plusmn;200 <sup>14</sup>C yr B.P. (Herzer and Bornhold, 1982). The southward Puget lobe advanced to its terminal position in Puget Sound by around 14,150 <sup>14</sup>C yr B.P. (Porter and Swanson, 1998). Ice retreated from its maximum to northern Whidbey Island by 13,650&plusmn;350 <sup>14</sup>C yr B.P. (Dethier and others, 1995). Retreating glaciers resulted in a thick sequence of ice-contact, glacial-marine sediment, and early post-glacial sediments (Linden and Schurrer, 1988). These deposits have experienced the effects of a marine transgression followed by regression, resulting in a sea-level several tens of meters lower than the present day (Linden and Schurrer, 1988). A second transgression brought sea level to about the present level by around 5,470&plusmn;120 <sup>14</sup>C yr B.P. (Clague and others, 1982) establishing the present oceanographic and geologic environment</p>\n<p>Puget Sound is separated into four interconnected basins; Whidbey, Central (Main), Hood Canal, and South (Thomson, 1994). The Whidbey, Central, and Hood Canal basins are the three main branches of the Puget Sound estuary and are separated from the Strait of Juan de Fuca by a double sill at Admiralty Inlet. The Admiralty Inlet map area includes the Inlet and a portion of the Whidbey Basin (fig. 1). The shallower South Basin is separated by a sill at Tacoma Narrows and is highly branched with numerous finger inlets. Flow within Puget Sound is dominated by tidal currents of as much as 1 m/s at Admiralty Inlet, reducing to approximately 0.5 m/s in the Central Basin (Lavelle and others, 1988). The lack of silt and clay-sized sediments in the Admiralty Inlet map area is likely a result of the strong currents (see Ground-Truth Studies for the Admiralty Inlet Map Area, sheet 3). The subtidal component of flow reaches approximately 0.1 m/s and is driven by density gradients arising from the contrast in salty ocean water at the entrance and freshwater inputs from stream flow (Lavelle and others, 1988). The total freshwater input to Puget Sound is approximately 3.4 x 10<sup>6</sup> m<sup>3</sup>/day, primarily from the Skagit River (Cannon, 1983). The subtidal circulation mostly consists of a two-layered flow in the basins with fresher water exiting at the surface and saltier water entering at depth (Ebbesmeyer and Cannon, 2001). In general, surface waters flow north and deeper waters flow south; variations arise from wind effects that can drive a surface current in the same direction as the wind, and a baroclinic response in the lower layer to about 100-m depth (Matsuura and Cannon, 1997). Oceanographic properties are influenced by temporal forcing parameters such as reduced stream flow during the 2000-01 drought that increased surface salinity and decreased differences between surface and bottom waters (Newton and others, 2003).</p>\n<p>On offshore seismic-reflection profiles, Pleistocene strata (excluding latest Pleistocene glacial and post-glacial deposits) form a distinct seismic unit, bounded below by pre-Tertiary or Tertiary basement and above by typically flat-lying latest Pleistocene to Holocene deposits that fill in erosional or depositional relief (Johnson and others, 2001). Cores from central Puget Sound have accumulation rates that range from 85 to 1200 mg/cm<sup>2</sup>/yr, or 0.12 to 2.4 cm/yr; the highest accumulation rates are near the southern end of central Puget Sound (Carpenter and others, 1985). Carpenter and others (1985) un-weighted arithmetic mean of accumulation rates for central Puget Sound deeper stations is 480&plusmn;340 (&plusmn; one standard deviation) mg/cm<sup>2</sup>/yr. Lavelle and others (1985) also found rates as high as 1200 mg/cm<sup>2</sup>/yr over the past approximately 70 years in cores in the Central Basin off of and north and south of Elliott Bay. Puget Sound basin rates are comparable to rates in midshelf silt deposits on the Washington coast north of the Columbia River (Nittrouer and others, 1979).</p>\n<p>The deep subtidal (in other words, below SCUBA depths) habitats of Puget Sound are relatively poorly known. A few subtidal surveys exist for several habitat types from the 1960s and 1970s (reviewed in Dethier, 1990), using grab and box core data. The Dethier (1990) review divides habitat up into Coast and Marine Ecological Classification Standard (CMECS) substrate, water column energy, and depth zones but does not attempt to map these habitats, rather it is an inventory of habitats found in the area and the flora and fauna associated with each habitat.</p>\n<p>The approach of the Southern Salish Sea Mapping project is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, and bottom-sediment sampling data. This approach is based in part on methods presented and data collection and product needs identified at the Washington State Seafloor Mapping Workshop (Washington State Seafloor Mapping Workshop Steering Committee, 2008), attended by coastal and marine managers and scientists. The map products display seafloor geomorphology and substrate, and identify potential marine benthic habitats. It is emphasized that the more interpretive habitat and geology maps rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. Oceanographic current and wave data is not included in this analysis, however, the accompanying geographic information system (GIS) data set is designed and intended to be combined with oceanographic and biologic data sets assembled by others in the future and some of the GIS data has already been incorporated in the unpublished Nature Conservancy Benthic Habitats of Puget Sound database.</p>\n<p>This publication includes four map sheets, explanatory text, and a descriptive pamphlet. Each map sheet is published as a portable document format (PDF) file. ESRI ArcGIS compatible geotiffs (for example, bathymetry) and shapefiles (for example video observation points) will be available for download in the data catalog associated with this publication (Cochrane, 2015). An ArcGIS Project File with the symbology used to generate the map sheets is also provided. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at&nbsp;<a href=\"http://www.esri.com/software/arcgis/arcreader/index.html\">http://www.esri.com/software/arcgis/arcreader/index.html</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151073","usgsCitation":"Cochrane, G.R., Dethier, M.N., Hodson, T.O., Kull, K.K., Golden, N., Ritchie, A.C., Moegling, C., and Pacunski, R.E., 2015, Southern Salish Sea Habitat Map Series: Admiralty Inlet: U.S. Geological Survey Open-File Report 2015-1073, Report: iv, 34 p.; 4 Plates: 40 x 36 inches, https://doi.org/10.3133/ofr20151073.","productDescription":"Report: iv, 34 p.; 4 Plates: 40 x 36 inches","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054193","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300998,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151073.jpg"},{"id":300985,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1073/"},{"id":300995,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/935/downloads/AdmiraltyInlet/ds935_AdmiraltyInlet.html","text":"Data Catalog—Admiralty Inlet, Washington","linkHelpText":"Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":300989,"rank":9,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1073/pdf/ofr20151073_pamphlet.pdf","text":"Pamphlet","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2015-1073 Pamphlet"},{"id":300990,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2015/1073/pdf/ofr20151073_sheet1.pdf","text":"Sheet 1","size":"159 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2015-1073 Sheet 1","linkHelpText":"Bathymetry Map of the of Admiralty Inlet Map Area, Washington By Andrew C. 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,{"id":70148351,"text":"ds935 - 2015 - Southern Salish Sea Habitat Map Series data catalog","interactions":[],"lastModifiedDate":"2015-06-03T09:22:22","indexId":"ds935","displayToPublicDate":"2015-06-03T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"935","title":"Southern Salish Sea Habitat Map Series data catalog","docAbstract":"<p>In 2010, the U.S. Environmental Protection Agency, Region 10 initiated the Puget Sound Scientific Studies and Technical Investigations Assistance Program, which was designed to support research for implementing the Puget Sound Action Agenda. The Action Agenda was created because Puget Sound was designated as one of 28 estuaries of National Significance under section 320 of the Clean Water Act, and its overall goal is to restore the environment of the Puget Sound Estuary by 2020. The Southern Salish Sea Mapping Project was funded through the Assistance Program request for proposal process which also supports a large number of coastal-zone- and ocean-management issues, and includes the recommendations of the Marine Protected Areas Work Group to the Washington State Legislature. These recommendations include a Puget Sound and coast-wide marine conservation needs assessment, gap analysis of existing Marine Protected Areas and recommendations for action.</p>\n<p>Four areas with recently acquired National Ocean Service hydrographic data are included in the Southern Salish Sea Habitat Map Series (fig. 1), each to be published individually as USGS Open File Reports at a scale of 1:40,000. The map products display seafloor geoforms, substrate, and biotopes using the Coastal and Marine Ecological Classification Standard.</p>\n<p>This data catalog contains much of the data used to prepare the SIMs in the Southern Salish Sea Habitat Map Series. Other data that were used to prepare the maps were compiled from previously published sources (for example, sediment samples and seismic reflection profiles) and are not included in this data series.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds935","usgsCitation":"2015, Southern Salish Sea Habitat Map Series data catalog: U.S. Geological Survey Data Series 935, HTML Document, https://doi.org/10.3133/ds935.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-053596","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds935.jpg"},{"id":300996,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/935/downloads/AdmiraltyInlet/ds935_AdmiraltyInlet.html","text":"Admiralty Inlet"},{"id":300986,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/935/"}],"country":"United States","state":"Washington","otherGeospatial":"Southern Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.96997070312499,\n              48.050545996347665\n            ],\n            [\n              -122.96997070312499,\n              48.31060120649363\n            ],\n            [\n              -122.57720947265624,\n              48.31060120649363\n            ],\n            [\n              -122.57720947265624,\n              48.050545996347665\n            ],\n            [\n              -122.96997070312499,\n              48.050545996347665\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.64312744140624,\n              47.56540738772849\n            ],\n            [\n              -122.64312744140624,\n              47.76332998647307\n            ],\n            [\n              -122.32452392578125,\n              47.76332998647307\n            ],\n            [\n              -122.32452392578125,\n              47.56540738772849\n            ],\n            [\n              -122.64312744140624,\n              47.56540738772849\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.6348876953125,\n              47.35371061951363\n            ],\n            [\n              -122.6348876953125,\n              47.541309583656854\n            ],\n            [\n              -122.32452392578125,\n              47.541309583656854\n            ],\n            [\n              -122.32452392578125,\n              47.35371061951363\n            ],\n            [\n              -122.6348876953125,\n              47.35371061951363\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.68707275390624,\n              47.184112659842015\n            ],\n            [\n              -122.68707275390624,\n              47.37975438400816\n            ],\n            [\n              -122.3876953125,\n              47.37975438400816\n            ],\n            [\n              -122.3876953125,\n              47.184112659842015\n            ],\n            [\n              -122.68707275390624,\n              47.184112659842015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570171be4b0d9246a9fd14d","contributors":{"compilers":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":548118,"contributorType":{"id":3,"text":"Compilers"},"rank":1}]}}
,{"id":70160778,"text":"70160778 - 2015 - Potential impact of <i>Chironomus plumosus</i> larvae on hypolimnetic oxygen in the central basin of Lake Erie","interactions":[],"lastModifiedDate":"2015-12-30T13:59:56","indexId":"70160778","displayToPublicDate":"2015-06-01T15:00:00","publicationYear":"2015","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":"Potential impact of <i>Chironomus plumosus</i> larvae on hypolimnetic oxygen in the central basin of Lake Erie","docAbstract":"<p>Previous studies have indicated that burrow-irrigating infauna can increase sediment oxygen demand (SOD) and impact hypolimnetic oxygen in stratified lakes. We conducted laboratory microcosm experiments and computer simulations with larvae of the burrowing benthic midge <i>Chironomus plumosus</i> to quantify burrow oxygen uptake rates and subsequent contribution to sediment oxygen demand in central Lake Erie. Burrow oxygen uptake and water flow velocities through burrows were measured using oxygen microelectrodes and hot film anemometry, respectively. Burrow oxygen consumption averaged 2.66 &times; 10<sup>&minus; 10</sup> (SE = &plusmn; 7.82 &times; 10<sup>&minus; 11</sup>) mol O<sub>2</sub>/burrow/s at 24 &deg;C and 9.64 &times; 10<sup>&minus; 10</sup> (SE = &plusmn; 4.86 &times; 10<sup>&minus; 10</sup>) mol O<sub>2</sub>/burrow/s at 15 &deg;C. In sealed microcosm experiments, larvae increased SOD 500% at 24 &deg;C (density = 1508/m<sup>2</sup>) and 375% at 15 &deg;C (density = 864/m<sup>2</sup>). To further evaluate effects of densities of <i>C. plumosus</i> burrows on SOD we developed a 3-D transport reaction model of the process. Using experimental data and chironomid abundance data in faunal surveys in 2009 and 2010, we estimated that bioirrigation by a population of 140 larvae/m<sup>2</sup> could account for between 2.54 &times; 10<sup>&minus; 11</sup> mol/L/s (model results) and 5.58 &times; 10<sup>&minus; 11</sup> mol/L/s (experimental results) of the average 4.22 &times; 10<sup>&minus; 11</sup> mol/L/s oxygen depletion rate between 1970 and 2003, which could have accounted for 60&ndash;132% of the oxygen decline. At present, it appears that the population density of this species may be an important factor in development of hypoxic or anoxic conditions in central Lake Erie.</p>","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2015.02.008","collaboration":"Soster (senior author; DePauw Univ), Matisoff (Case Western Univ), Edwards (Univ Niagara)","usgsCitation":"Soster, F.M., Matisoff, G., Schloesser, D.W., and Edwards, W.J., 2015, Potential impact of <i>Chironomus plumosus</i> larvae on hypolimnetic oxygen in the central basin of Lake Erie: Journal of Great Lakes Research, v. 41, no. 2, p. 348-357, https://doi.org/10.1016/j.jglr.2015.02.008.","productDescription":"10 p.","startPage":"348","endPage":"357","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061609","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.31986999511719,\n              41.43088670022892\n            ],\n            [\n              -82.35557556152344,\n              41.426768045309\n            ],\n            [\n              -82.38922119140625,\n              41.415440397070654\n            ],\n            [\n              -82.43110656738281,\n              41.39741506646461\n            ],\n            [\n              -82.47367858886717,\n              41.38299120166604\n            ],\n            [\n              -82.51075744628906,\n              41.38196080315539\n            ],\n            [\n              -82.55538940429688,\n              41.396384896536276\n            ],\n            [\n              -82.58834838867188,\n              41.41235069554362\n            ],\n            [\n              -82.60688781738281,\n              41.41852995163519\n            ],\n            [\n              -82.65151977539062,\n              41.57025176609894\n            ],\n            [\n              -82.63984680175781,\n              41.645722822493845\n            ],\n            [\n              -82.54989624023438,\n              41.67342470920953\n            ],\n            [\n              -82.48260498046875,\n              41.668808555620586\n            ],\n            [\n              -82.35626220703124,\n              41.64623592868676\n            ],\n            [\n              -82.29515075683594,\n              41.58925619641459\n            ],\n            [\n              -82.3040771484375,\n              41.48389104267175\n            ],\n            [\n              -82.31986999511719,\n              41.43088670022892\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850ee1e4b0a04ef4933a9e","contributors":{"authors":[{"text":"Soster, Frederick M.","contributorId":9092,"corporation":false,"usgs":true,"family":"Soster","given":"Frederick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":583873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matisoff, Gerald","contributorId":15046,"corporation":false,"usgs":true,"family":"Matisoff","given":"Gerald","email":"","affiliations":[],"preferred":false,"id":583874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schloesser, Donald W. dschloesser@usgs.gov","contributorId":3579,"corporation":false,"usgs":true,"family":"Schloesser","given":"Donald","email":"dschloesser@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, William J.","contributorId":47206,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":583875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144300,"text":"70144300 - 2015 - Coupling geophysical investigation with hydrothermal modeling to constrain the enthalpy classification of a potential geothermal resource.","interactions":[],"lastModifiedDate":"2015-10-23T12:34:52","indexId":"70144300","displayToPublicDate":"2015-06-01T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Coupling geophysical investigation with hydrothermal modeling to constrain the enthalpy classification of a potential geothermal resource.","docAbstract":"<p>An appreciable challenge in volcanology and geothermal resource development is to understand the relationships between volcanic systems and low-enthalpy geothermal resources. The enthalpy of an undeveloped geothermal resource in the Karckar region of Armenia is investigated by coupling geophysical and hydrothermal modeling. The results of 3-dimensional inversion of gravity data provide key inputs into a hydrothermal circulation model of the system and associated hot springs, which is used to evaluate possible geothermal system configurations. Hydraulic and thermal properties are specified using maximum a priori estimates. Limited constraints provided by temperature data collected from an existing down-gradient borehole indicate that the geothermal system can most likely be classified as low-enthalpy and liquid dominated. We find the heat source for the system is likely cooling quartz monzonite intrusions in the shallow subsurface and that meteoric recharge in the pull-apart basin circulates to depth, rises along basin-bounding faults and discharges at the hot springs. While other combinations of subsurface properties and geothermal system configurations may fit the temperature distribution equally well, we demonstrate that the low-enthalpy system is reasonably explained based largely on interpretation of surface geophysical data and relatively simple models.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jvolgeores.2015.03.020","usgsCitation":"White, J., Karakhanian, A., Connor, C., Connor, L., Hughes, J.D., Malservisi, R., and Wetmore, P., 2015, Coupling geophysical investigation with hydrothermal modeling to constrain the enthalpy classification of a potential geothermal resource.: Journal of Volcanology and Geothermal Research, v. 298, p. 59-70, https://doi.org/10.1016/j.jvolgeores.2015.03.020.","productDescription":"12 p.","startPage":"59","endPage":"70","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055208","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":310594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Armenia","otherGeospatial":"Karckar Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              42.34130859375,\n              38.38042167460681\n            ],\n            [\n              42.34130859375,\n              41.62776153144345\n            ],\n            [\n              47.8564453125,\n              41.62776153144345\n            ],\n            [\n              47.8564453125,\n              38.38042167460681\n            ],\n            [\n              42.34130859375,\n              38.38042167460681\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"298","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a2be4b00162522207c6","contributors":{"authors":[{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":543463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karakhanian, Arkadi","contributorId":139920,"corporation":false,"usgs":false,"family":"Karakhanian","given":"Arkadi","email":"","affiliations":[{"id":13315,"text":"Georisk Scientific Research Company","active":true,"usgs":false}],"preferred":false,"id":543464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connor, Chuck","contributorId":139921,"corporation":false,"usgs":false,"family":"Connor","given":"Chuck","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":543465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connor, Laura","contributorId":139922,"corporation":false,"usgs":false,"family":"Connor","given":"Laura","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":543466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":543467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Malservisi, Rocco","contributorId":139923,"corporation":false,"usgs":false,"family":"Malservisi","given":"Rocco","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":543468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wetmore, Paul","contributorId":139924,"corporation":false,"usgs":false,"family":"Wetmore","given":"Paul","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":543469,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203358,"text":"70203358 - 2015 - Modeling and management of pit lake water chemistry 2: Case studies","interactions":[],"lastModifiedDate":"2019-05-07T13:32:35","indexId":"70203358","displayToPublicDate":"2015-06-01T13:28:17","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Modeling and management of pit lake water chemistry 2: Case studies","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Pit lakes, a common product of open pit mining techniques, may become long-term, post-mining environmental risks or long-term, post-mining water resources depending upon management decisions. This study reviews two published pit lake modeling studies and one pit lake monitoring program in order to increase the transparency of approaches used in pit lake prediction and management. The first model is a two-year limnological simulation of the existing Dexter pit lake, Nevada, USA that accurately modeled temperature profiles, salinity profiles, and turnover events observed between 1999 and 2000. The second model is a 55-year prediction of a future pit lake in the Martha Mine, New Zealand that identified the need for additional mitigation and evaluated potential effects of cost-effective mitigation options. The final study reviews eight years of monitoring data collected from the Berkeley pit lake, Montana, USA, from 2004 to 2012. This study identifies changes in the physical limnology and water quality of the pit lake that resulted from metal recovery operations, and highlights the value of monitoring programs in general. Whereas these pit lakes are different in many ways, the management tools discussed herein maximized the value and understanding of the post-mining resources.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.09.003","usgsCitation":"Castendyk, D., Balistrieri, L.S., Gammons, C., and Tucci, N., 2015, Modeling and management of pit lake water chemistry 2: Case studies: Applied Geochemistry, v. 57, p. 289-307, https://doi.org/10.1016/j.apgeochem.2014.09.003.","productDescription":"19 p.","startPage":"289","endPage":"307","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":363566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, New Zealand","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Castendyk, D.N.","contributorId":215422,"corporation":false,"usgs":false,"family":"Castendyk","given":"D.N.","affiliations":[],"preferred":false,"id":762292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":762293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gammons, C.H.","contributorId":18459,"corporation":false,"usgs":true,"family":"Gammons","given":"C.H.","affiliations":[],"preferred":false,"id":762294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucci, N.","contributorId":215424,"corporation":false,"usgs":false,"family":"Tucci","given":"N.","email":"","affiliations":[],"preferred":false,"id":762295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}