{"pageNumber":"1191","pageRowStart":"29750","pageSize":"25","recordCount":165309,"records":[{"id":70148004,"text":"sir20155072 - 2015 - Simulated effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Rincon, Effingham County, Georgia","interactions":[],"lastModifiedDate":"2017-01-18T13:21:04","indexId":"sir20155072","displayToPublicDate":"2015-05-22T10:00:00","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":"2015-5072","title":"Simulated effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Rincon, Effingham County, Georgia","docAbstract":"

Steady-state simulations using a revised regional groundwater-flow model based on MODFLOW were run to assess the potential long-term effects on the Upper Floridan aquifer (UFA) of pumping the Lower Floridan aquifer (LFA) at well (36S048) near the City of Rincon in coastal Georgia near Savannah. Simulated pumping of well 36S048 at a rate of 1,000 gallons per minute (gal/min; or 1.44 million gallons per day [Mgal/d]) indicated a maximum drawdown of about 6.8 feet (ft) in the UFA directly above the pumped well and at least 1 ft of drawdown within a nearly 400-square-mile area (scenario A). Induced vertical leakage from the UFA provided about 99 percent of the water to the pumped well. Simulated pumping of well 36S048 indicated increased downward leakage in all layers above the LFA, decreased upward leakage in all layers above the LFA, increased inflow to and decreased outflow from lateral specified-head boundaries in the UFA and LFA, and an increase in the volume of induced inflow from the general-head boundary representing outcrop units. Water budgets for scenario A indicated that changes in inflows and outflows through general-head boundaries would compose about 72 percent of the simulated pumpage from well 36S048, with the remaining 28 percent of the pumped water derived from flow across lateral specified-head boundaries.

\n

Additional steady-state simulations were run to evaluate a pumping rate in the UFA of 292 gal/min (0.42 Mgal/d), which would produce the equivalent maximum drawdown in the UFA as pumping from well 36S048 in the LFA at a rate of 1,000 gal/min (called the drawdown offset; scenario B). Simulated pumping in the UFA for the drawdown offset produced about 6.7 ft of drawdown, comparable to 6.8 ft of drawdown in the UFA simulated in scenario A. Water budgets for scenario B also provided favorable comparisons with scenario A, indicating that 69 percent of the drawdown-offset pumpage (0.42 Mgal/d) in the UFA originates as increased inflow and decreased outflow across general-head boundaries from overlying units in the surficial and Brunswick aquifer systems and that the remaining simulated pumpage originates as flow across general- and specified-head boundaries within the UFA.

\n

A steady-state simulation representing implementation of drawdown-offset-pumping reductions totaling 292 gal/min at Rincon UFA production wells 36S034 and 36S035 and pumping from the new LFA well 36S048 at 1,000 gal/min (scenario C) resulted in decreased magnitude and areal extent of drawdown in the UFA compared with scenario A. In the latter scenario, the LFA well was pumped without UFA drawdown-offset-pumping reductions. Water budgets for scenario C yielded percentage contributions from flow components that were consistent with those from scenario B. Specifically, 69 percent of the increased pumping in scenario C originated from general-head boundaries from overlying units of the surficial and Brunswick aquifer systems and the balance of flow was derived from general- and specified-head boundaries in the UFA. In all scenarios, the placement of model boundaries and type of boundary exerted the greatest control on overall groundwater flow and interaquifer leakage in the system.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155072","collaboration":"Prepared in cooperation with the City of Rincon, Georgia","usgsCitation":"Cherry, G.S., and Clarke, J.S., 2015, Simulated effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Rincon, Effingham County, Georgia: U.S. Geological Survey Scientific Investigations Report 2015-5072, viii, 36 p., https://doi.org/10.3133/sir20155072.","productDescription":"viii, 36 p.","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054209","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":300691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155072.jpg"},{"id":300690,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5072/pdf/sir2015-5072.pdf","text":"Report","size":"5.16 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"SIR 2015-5072 Report"},{"id":300689,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5072/"}],"country":"United States","state":"Georgia","county":"Effingham County","otherGeospatial":"Rincon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.4251708984375,\n 31.785384226419566\n ],\n [\n -81.4251708984375,\n 32.21396296653795\n ],\n [\n -80.80307006835938,\n 32.21396296653795\n ],\n [\n -80.80307006835938,\n 31.785384226419566\n ],\n [\n -81.4251708984375,\n 31.785384226419566\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5560452ce4b0afeb7072414b","contributors":{"authors":[{"text":"Cherry, Gregory S. 0000-0002-5567-1587 gccherry@usgs.gov","orcid":"https://orcid.org/0000-0002-5567-1587","contributorId":1567,"corporation":false,"usgs":true,"family":"Cherry","given":"Gregory","email":"gccherry@usgs.gov","middleInitial":"S.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546736,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156183,"text":"70156183 - 2015 - Modeling apple snail population dynamics on the Everglades landscape","interactions":[],"lastModifiedDate":"2019-07-25T15:01:35","indexId":"70156183","displayToPublicDate":"2015-05-22T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling apple snail population dynamics on the Everglades landscape","docAbstract":"

Context

\n

The Florida Everglades has diminished in size and its existing wetland hydrology has been altered. The endangered snail kite (Rostrhamus sociabilis) has nearly abandoned the Everglades, and its prey, the apple snail (Pomacea paludosa), has declined.

\n

Objective

\n

We developed a population model (EverSnail) to understand apple snail response to inter- and intra-annual fluctuations in water depths over the Everglades landscape. EverSnail was developed as a tool to understand how apple snails respond to different hydrologic scenarios.

\n

Methods

\n

EverSnail is an age- and size-structured, spatially-explicit landscape model of P. paludosa in the Everglades. Landscape-level inputs are water depth and air temperature. We conducted sensitivity analyses by running EverSnail with ± 20 % the baseline value of eight parameters.

\n

Results

\n

EverSnail was sensitive to changes in survival and water depth associated with reproduction. The EverSnail population varied with changes and/or differences in depth generally consistent with empirical data; site-specific comparisons to field data proved less reliable. A simulated 3-year wet period resulted in a shift in apple snail distribution, but little change in total abundance over the landscape. In contrast, a simulated 3-year succession of relatively dry years resulted in overall lower snail abundances.

\n

Conclusions

\n

Comparisons of model output to empirical data indicate the need for more data to better understand, and eventually parameterize, several aspects of snail ecology in support of EverSnail. A primary value of EverSnail is its capacity to describe the relative response of snail abundance to alternative hydrologic scenarios considered for Everglades water management and restoration.

","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s10980-015-0205-5","usgsCitation":"Darby, P., DeAngelis, D., Romanach, S.S., Suir, K.J., and Bridevaux, J.L., 2015, Modeling apple snail population dynamics on the Everglades landscape: Landscape Ecology, v. 30, no. 8, p. 1497-1510, https://doi.org/10.1007/s10980-015-0205-5.","productDescription":"14 p.","startPage":"1497","endPage":"1510","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056099","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":306812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.1060791015625,\n 25.199970890386023\n ],\n [\n -83.1060791015625,\n 28.338230147025865\n ],\n [\n -79.8486328125,\n 28.338230147025865\n ],\n [\n -79.8486328125,\n 25.199970890386023\n ],\n [\n -83.1060791015625,\n 25.199970890386023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-22","publicationStatus":"PW","scienceBaseUri":"560bb6d5e4b058f706e53d8b","contributors":{"authors":[{"text":"Darby, Phil","contributorId":146459,"corporation":false,"usgs":false,"family":"Darby","given":"Phil","email":"","affiliations":[{"id":16703,"text":"University of West Florida","active":true,"usgs":false}],"preferred":false,"id":567951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":138934,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":567949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":567950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suir, Kevin J. 0000-0003-1570-9648 suirk@usgs.gov","orcid":"https://orcid.org/0000-0003-1570-9648","contributorId":4894,"corporation":false,"usgs":true,"family":"Suir","given":"Kevin","email":"suirk@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":567952,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridevaux, Joshua L.","contributorId":103567,"corporation":false,"usgs":true,"family":"Bridevaux","given":"Joshua","email":"","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":567953,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159970,"text":"70159970 - 2015 - Automated calculation of surface energy fluxes with high-frequency lake buoy data","interactions":[],"lastModifiedDate":"2015-12-04T16:47:25","indexId":"70159970","displayToPublicDate":"2015-05-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Automated calculation of surface energy fluxes with high-frequency lake buoy data","docAbstract":"

Lake Heat Flux Analyzer is a program used for calculating the surface energy fluxes in lakes according to established literature methodologies. The program was developed in MATLAB for the rapid analysis of high-frequency data from instrumented lake buoys in support of the emerging field of aquatic sensor network science. To calculate the surface energy fluxes, the program requires a number of input variables, such as air and water temperature, relative humidity, wind speed, and short-wave radiation. Available outputs for Lake Heat Flux Analyzer include the surface fluxes of momentum, sensible heat and latent heat and their corresponding transfer coefficients, incoming and outgoing long-wave radiation. Lake Heat Flux Analyzer is open source and can be used to process data from multiple lakes rapidly. It provides a means of calculating the surface fluxes using a consistent method, thereby facilitating global comparisons of high-frequency data from lake buoys.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2015.04.013","usgsCitation":"Woolway, R., Jones, I.D., Hamilton, D., Maberly, S.C., Muroaka, K., Read, J.S., Smyth, R.L., and Winslow, L., 2015, Automated calculation of surface energy fluxes with high-frequency lake buoy data: Environmental Modelling and Software, v. 70, p. 191-198, https://doi.org/10.1016/j.envsoft.2015.04.013.","productDescription":"8 p.","startPage":"191","endPage":"198","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056118","costCenters":[],"links":[{"id":472081,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.envsoft.2015.04.013","text":"External Repository"},{"id":311960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Esthwaite Water, Lake Mendota, and Rotorua","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -2.989482879638672,\n 54.36975860652543\n ],\n [\n -2.992572784423828,\n 54.366258398299834\n ],\n [\n -2.9920578002929688,\n 54.36015732232432\n ],\n [\n -2.988109588623047,\n 54.35525580165397\n ],\n [\n -2.9863929748535156,\n 54.351454219750096\n ],\n [\n -2.9810714721679688,\n 54.34815256064472\n ],\n [\n -2.9769515991210938,\n 54.34875288203023\n ],\n [\n -2.9791831970214844,\n 54.35325501291539\n ],\n [\n -2.9790115356445312,\n 54.357856681363565\n ],\n [\n -2.985363006591797,\n 54.36805854264686\n ],\n [\n -2.988109588623047,\n 54.36995860941363\n ],\n [\n -2.989482879638672,\n 54.36975860652543\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.40948486328125,\n 43.148593036691636\n ],\n [\n -89.4287109375,\n 43.1430821780996\n ],\n [\n -89.45446014404297,\n 43.112262315469096\n ],\n [\n -89.47952270507812,\n 43.10825208628715\n ],\n [\n -89.48535919189453,\n 43.10399092988393\n ],\n [\n -89.48261260986327,\n 43.09170711357466\n ],\n [\n -89.46784973144531,\n 43.08042388708437\n ],\n [\n -89.44381713867186,\n 43.08293145035439\n ],\n [\n -89.43145751953125,\n 43.08894918346591\n ],\n [\n -89.42665100097656,\n 43.08017312511268\n ],\n [\n -89.41154479980469,\n 43.07766544894908\n ],\n [\n -89.39334869384766,\n 43.0766623497472\n ],\n [\n -89.37103271484375,\n 43.09095496313368\n ],\n [\n -89.36725616455078,\n 43.10875337930414\n ],\n [\n -89.37343597412108,\n 43.12454200781527\n ],\n [\n -89.384765625,\n 43.13406333787913\n ],\n [\n -89.3964385986328,\n 43.12980397869853\n ],\n [\n -89.40467834472655,\n 43.13256006851107\n ],\n [\n -89.40536499023438,\n 43.145837669496494\n ],\n [\n -89.40536499023438,\n 43.1470901245276\n ],\n [\n -89.40948486328125,\n 43.148593036691636\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -183.68865966796872,\n -38.036194062376275\n ],\n [\n -183.73878479003906,\n -38.02970397219199\n ],\n [\n -183.7744903564453,\n -38.0367348772677\n ],\n [\n -183.7847900390625,\n -38.054038845116295\n ],\n [\n -183.78684997558594,\n -38.08485140639173\n ],\n [\n -183.7580108642578,\n -38.10592620640843\n ],\n [\n -183.76419067382812,\n -38.11727165830541\n ],\n [\n -183.7456512451172,\n -38.137256975913346\n ],\n [\n -183.73191833496094,\n -38.14157740624507\n ],\n [\n -183.702392578125,\n -38.12105308397729\n ],\n [\n -183.67218017578125,\n -38.091336607511735\n ],\n [\n -183.67149353027344,\n -38.04863179448705\n ],\n [\n -183.68179321289062,\n -38.03781649506998\n ],\n [\n -183.68865966796872,\n -38.036194062376275\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5662c742e4b06a3ea36c67ad","contributors":{"authors":[{"text":"Woolway, R. 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Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":581390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Ian D.","contributorId":150346,"corporation":false,"usgs":false,"family":"Jones","given":"Ian","email":"","middleInitial":"D.","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":581391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamilton, David P.","contributorId":18633,"corporation":false,"usgs":true,"family":"Hamilton","given":"David P.","affiliations":[],"preferred":false,"id":581392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maberly, Stephen C","contributorId":150348,"corporation":false,"usgs":false,"family":"Maberly","given":"Stephen","email":"","middleInitial":"C","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":581393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muroaka, Kohji","contributorId":150347,"corporation":false,"usgs":false,"family":"Muroaka","given":"Kohji","email":"","affiliations":[{"id":18008,"text":"Environmental Research Institute, University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand.","active":true,"usgs":false}],"preferred":false,"id":581394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":581395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smyth, Robyn L","contributorId":150349,"corporation":false,"usgs":false,"family":"Smyth","given":"Robyn","email":"","middleInitial":"L","affiliations":[{"id":18009,"text":"Center for Environmental Policy, Bard College, Annandale-on-Hudson, NY, USA","active":true,"usgs":false}],"preferred":false,"id":581396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Winslow, Luke A. lwinslow@usgs.gov","contributorId":150344,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke A.","email":"lwinslow@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":false,"id":581397,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70186565,"text":"70186565 - 2015 - Testing the depth-differentiation hypothesis in a deepwater octocoral","interactions":[],"lastModifiedDate":"2017-04-05T16:00:56","indexId":"70186565","displayToPublicDate":"2015-05-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Testing the depth-differentiation hypothesis in a deepwater octocoral","docAbstract":"

The depth-differentiation hypothesis proposes that the bathyal region is a source of genetic diversity and an area where there is a high rate of species formation. Genetic differentiation should thus occur over relatively small vertical distances, particularly along the upper continental slope (200–1000 m) where oceanography varies greatly over small differences in depth. To test whether genetic differentiation within deepwater octocorals is greater over vertical rather than geographical distances, Callogorgia delta was targeted. This species commonly occurs throughout the northern Gulf of Mexico at depths ranging from 400 to 900 m. We found significant genetic differentiation (FST = 0.042) across seven sites spanning 400 km of distance and 400 m of depth. A pattern of isolation by depth emerged, but geographical distance between sites may further limit gene flow. Water mass boundaries may serve to isolate populations across depth; however, adaptive divergence with depth is also a possible scenario. Microsatellite markers also revealed significant genetic differentiation (FST = 0.434) between C. delta and a closely related species, Callogorgia americana, demonstrating the utility of microsatellites in species delimitation of octocorals. Results provided support for the depth-differentiation hypothesis, strengthening the notion that factors covarying with depth serve as isolation mechanisms in deep-sea populations.

","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2015.0008","usgsCitation":"Quattrini, A., Baums, I.B., Shank, T.M., Morrison, C., and Cordes, E.E., 2015, Testing the depth-differentiation hypothesis in a deepwater octocoral: Proceedings of the Royal Society B: Biological Sciences, v. 282, no. 1807, p. 1-9, https://doi.org/10.1098/rspb.2015.0008.","productDescription":"Article 20150008; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-062076","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":472082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2015.0008","text":"Publisher Index Page"},{"id":339269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","issue":"1807","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-22","publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac687","contributors":{"authors":[{"text":"Quattrini, Andrea aquattrini@usgs.gov","contributorId":149599,"corporation":false,"usgs":true,"family":"Quattrini","given":"Andrea","email":"aquattrini@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":689599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baums, Iliana B. 0000-0001-6463-7308","orcid":"https://orcid.org/0000-0001-6463-7308","contributorId":190566,"corporation":false,"usgs":false,"family":"Baums","given":"Iliana","email":"","middleInitial":"B.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":689600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shank, Timothy M.","contributorId":190567,"corporation":false,"usgs":false,"family":"Shank","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":689601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Cheryl L. cmorrison@usgs.gov","contributorId":3355,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl L.","email":"cmorrison@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":689598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordes, Erik E.","contributorId":37623,"corporation":false,"usgs":false,"family":"Cordes","given":"Erik","email":"","middleInitial":"E.","affiliations":[{"id":16710,"text":"Temple University, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":689602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148371,"text":"70148371 - 2015 - Golden Eagle mortality at a utility-scale wind energy facility near Palm Springs, California","interactions":[],"lastModifiedDate":"2016-07-11T13:14:22","indexId":"70148371","displayToPublicDate":"2015-05-21T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3743,"text":"Western Birds","active":true,"publicationSubtype":{"id":10}},"title":"Golden Eagle mortality at a utility-scale wind energy facility near Palm Springs, California","docAbstract":"

Golden Eagle (Aquila chrysaetos) mortality associated with wind energy turbines and infrastructure is under-reported and weakly substantiated in the published literature. I report two cases of mortality at a utility-scale renewable energy facility near Palm Springs, California. The facility has been in operation since 1984 and included 460 65KW turbines mounted on 24.4 m or 42.7 m lattice-style towers with 8 m rotor diameters. One mortality event involved a juvenile eagle that was struck and killed by a spinning turbine blade on 31 August, 1995. The tower was 24.4 m high. The other involved an immature female that was struck by a spinning blade on another 24.4 m tower on 17 April, 1997 and was later euthanized due to the extent of internal injuries. Other raptor mortalities incidentally observed at the site, and likely attributable to turbines, included three Red-tailed Hawks (Buteo jamaicensis) found near turbines.

","language":"English","publisher":"Western Field Ornithologists","publisherLocation":"Del Mar, CA","usgsCitation":"Lovich, J.E., 2015, Golden Eagle mortality at a utility-scale wind energy facility near Palm Springs, California: Western Birds, v. 46, no. 1, p. 76-80.","productDescription":"5 p.","startPage":"76","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058132","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":308027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308026,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://profile.usgs.gov/myscience/upload_folder/ci2015May2910343333446Golden%20eagle%20mortality.pdf","text":"Article","size":"1.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Article"}],"country":"United States","state":"California","otherGeospatial":"San Gorgonio Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.00714111328125,\n 33.8430453147447\n ],\n [\n -117.00714111328125,\n 34.01851844336969\n ],\n [\n -116.51550292968749,\n 34.01851844336969\n ],\n [\n -116.51550292968749,\n 33.8430453147447\n ],\n [\n -117.00714111328125,\n 33.8430453147447\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f1582fe4b0dacf699eb962","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":547898,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148163,"text":"70148163 - 2015 - Different populations of blacklegged tick nymphs exhibit differences in questing behavior that have implications for human lyme disease risk","interactions":[],"lastModifiedDate":"2015-05-28T09:31:13","indexId":"70148163","displayToPublicDate":"2015-05-21T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Different populations of blacklegged tick nymphs exhibit differences in questing behavior that have implications for human lyme disease risk","docAbstract":"

Animal behavior can have profound effects on pathogen transmission and disease incidence. We studied the questing (= host-seeking) behavior of blacklegged tick (Ixodes scapularis) nymphs, which are the primary vectors of Lyme disease in the eastern United States. Lyme disease is common in northern but not in southern regions, and prior ecological studies have found that standard methods used to collect host-seeking nymphs in northern regions are unsuccessful in the south. This led us to hypothesize that there are behavior differences between northern and southern nymphs that alter how readily they are collected, and how likely they are to transmit the etiological agent of Lyme disease to humans. To examine this question, we compared the questing behavior of I. scapularis nymphs originating from one northern (Lyme disease endemic) and two southern (non-endemic) US regions at field sites in Wisconsin, Rhode Island, Tennessee, and Florida. Laboratory-raised uninfected nymphs were monitored in circular 0.2 m2 arenas containing wooden dowels (mimicking stems of understory vegetation) for 10 (2011) and 19 (2012) weeks. The probability of observing nymphs questing on these stems (2011), and on stems, on top of leaf litter, and on arena walls (2012) was much greater for northern than for southern origin ticks in both years and at all field sites (19.5 times greater in 2011; 3.6-11.6 times greater in 2012). Our findings suggest that southern origin I. scapularis nymphs rarely emerge from the leaf litter, and consequently are unlikely to contact passing humans. We propose that this difference in questing behavior accounts for observed geographic differences in the efficacy of the standard sampling techniques used to collect questing nymphs. These findings also support our hypothesis that very low Lyme disease incidence in southern states is, in part, a consequence of the type of host-seeking behavior exhibited by southern populations of the key Lyme disease vector.

","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0127450","usgsCitation":"Arsnoe, I.M., Hickling, G.J., Ginsberg, H.S., McElreath, R., and Tsao, J.I., 2015, Different populations of blacklegged tick nymphs exhibit differences in questing behavior that have implications for human lyme disease risk: PLoS ONE, v. 10, no. 5, p. 1-21, https://doi.org/10.1371/journal.pone.0127450.","productDescription":"21 p.","startPage":"1","endPage":"21","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064856","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472083,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0127450","text":"Publisher Index Page"},{"id":300794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-21","publicationStatus":"PW","scienceBaseUri":"55659937e4b0d9246a9eb614","contributors":{"authors":[{"text":"Arsnoe, Isis M.","contributorId":140902,"corporation":false,"usgs":false,"family":"Arsnoe","given":"Isis","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":547518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickling, Graham J.","contributorId":140903,"corporation":false,"usgs":false,"family":"Hickling","given":"Graham","email":"","middleInitial":"J.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":547519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ginsberg, Howard S. hginsberg@usgs.gov","contributorId":140901,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","email":"hginsberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":547517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McElreath, Richard","contributorId":140904,"corporation":false,"usgs":false,"family":"McElreath","given":"Richard","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":547520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tsao, Jean I.","contributorId":140905,"corporation":false,"usgs":false,"family":"Tsao","given":"Jean","email":"","middleInitial":"I.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":547521,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148087,"text":"ofr20151087 - 2015 - Chronostratigraphic cross section of Cretaceous formations in western Montana, western Wyoming, eastern Utah, northeastern Arizona, and northwestern New Mexico, U.S.A.","interactions":[],"lastModifiedDate":"2019-11-21T10:04:39","indexId":"ofr20151087","displayToPublicDate":"2015-05-21T13:30:00","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":"2015-1087","title":"Chronostratigraphic cross section of Cretaceous formations in western Montana, western Wyoming, eastern Utah, northeastern Arizona, and northwestern New Mexico, U.S.A.","docAbstract":"

The chronostratigraphic cross section presented herein is a contribution to the Western Interior Cretaceous (WIK) project of the Global Sedimentary Geology Program. It portrays the Cretaceous formations at 13 localities in a south-trending transect from northwestern Montana through western Wyoming, eastern Utah, and northeastern Arizona, to northwestern New Mexico. The localities are in the Rocky Mountains and on the Colorado Plateau and contain strata that were deposited along the western margin of the Cretaceous Interior Seaway of North America. These strata are marine and nonmarine, mainly siliceous and calcareous, and of Aptian through Maastrichtian ages. They range in thickness from nearly 19,000 feet (ft) in southwestern Montana to about 1,500 ft thick in northeastern Arizona and northwestern New Mexico.

\n

Cretaceous formations in western Montana, western Wyoming, and eastern Utah disconformably overlie Jurassic rocks and locally include beds of either Aptian and Albian ages or Albian age. The Aptian beds consist of various lithologies of nonmarine origin. Albian beds consist of various nonmarine and marine lithologies. The Lower Cretaceous strata range in thickness from 4,300 ft in northern Utah to 180 ft in southern Utah and are absent at localities in Arizona and New Mexico.

\n

Upper Cretaceous strata at most localities in the transect include beds of Cenomanian through Maastrichtian ages, although at five of the localities in Montana, Wyoming, Utah, Arizona, and New Mexico, younger strata are missing. Beds of Cenomanian, Turonian, Coniacian, Santonian, and Campanian ages in the region are siliceous, calcareous, or bentonitic and were deposited in marine and nonmarine environments. In the following Maastrichtian, siliceous lithologies accumulated in nonmarine environments. Thicknesses of the Upper Cretaceous strata range from more than 17,000 ft in southwestern Montana to nearly 6,000 ft in northwestern New Mexico.

\n

In this transect for time-stratigraphic units of the Cretaceous, lateral changes in lithologies, regional differences in thicknesses, and the abundance of associated disconformities possibly reflect local and regional tectonic events. Examples of evidence of those events follow: (1) Disconformities and the absence of strata of lowest Cretaceous age in western Montana, western Wyoming, and northern Utah indicate significant tectonism and erosion probably during the Late Jurassic and earliest Cretaceous; ( 2) stages of Upper Cretaceous deposition in the transect display major lateral changes in thickness, which probably reflect regional and local tectonism.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151087","usgsCitation":"Merewether, E.A., and McKinney, K.C., 2015, Chronostratigraphic cross section of Cretaceous formations in western Montana, western Wyoming, eastern Utah, northeastern Arizona, and northwestern New Mexico, U.S.A.: U.S. Geological Survey Open-File Report 2015-1087, Report: iv, 10 p.; Map: 72.0 x 37.5 inches, https://doi.org/10.3133/ofr20151087.","productDescription":"Report: iv, 10 p.; Map: 72.0 x 37.5 inches","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-055213","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":300668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151087.jpg"},{"id":300666,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1087/pdf/ofr2015-1087_pamphlet.pdf","text":"Report","size":"296 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300667,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1087/"},{"id":300665,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1087/pdf/ofr2015-1087_map.pdf","text":"Map","size":"493 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Map","linkHelpText":"Tables 1 and 2 included on this plate"}],"country":"United States","state":"Arizona, Montana, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.312744140625,\n 48.86832824998009\n ],\n [\n -113.367919921875,\n 48.87194147722911\n ],\n [\n -113.038330078125,\n 46.60794102560568\n ],\n [\n -112.5164794921875,\n 44.68818283842486\n ],\n [\n -110.72090148925781,\n 45.11981058437286\n ],\n [\n -110.49224853515625,\n 43.48281929474004\n ],\n [\n -110.40435791015625,\n 41.73647896274239\n ],\n [\n -111.32720947265624,\n 40.8595252289932\n ],\n [\n -110.76141357421875,\n 39.61838363831915\n ],\n [\n -109.11432266235352,\n 39.17997767829162\n ],\n [\n -111.93145751953125,\n 37.555465068186955\n ],\n [\n -110.07202148437499,\n 36.77409249464195\n ],\n [\n -107.9296875,\n 36.81808022778526\n ],\n [\n -108.6328125,\n 35.38904996691167\n ],\n [\n -108.984375,\n 35.496456056584165\n ],\n [\n -108.402099609375,\n 36.589068371399115\n ],\n [\n -110.478515625,\n 36.60670888641815\n ],\n [\n -112.11891174316406,\n 37.575603207605845\n ],\n [\n -109.45678710937499,\n 39.172658670429946\n ],\n [\n -111.005859375,\n 39.554883059924016\n ],\n [\n -111.55929565429688,\n 40.95708558389897\n ],\n [\n -110.753173828125,\n 41.86547012230937\n ],\n [\n -111.005859375,\n 43.51668853502906\n ],\n [\n -111.02783203125,\n 44.88701247981298\n ],\n [\n -112.64556884765624,\n 44.558184901080324\n ],\n [\n -113.28689575195312,\n 46.71256084516052\n ],\n [\n -114.312744140625,\n 48.86832824998009\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555ef39de4b0a92fa7eb9662","contributors":{"authors":[{"text":"Merewether, E. Allen merewether@usgs.gov","contributorId":3586,"corporation":false,"usgs":true,"family":"Merewether","given":"E.","email":"merewether@usgs.gov","middleInitial":"Allen","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":547447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Kevin C. kcmckinney@usgs.gov","contributorId":3406,"corporation":false,"usgs":true,"family":"McKinney","given":"Kevin","email":"kcmckinney@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":547448,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148109,"text":"fs20153040 - 2015 - Tools for discovering and accessing Great Lakes scientific data","interactions":[],"lastModifiedDate":"2015-06-19T14:52:12","indexId":"fs20153040","displayToPublicDate":"2015-05-21T13:15:00","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":"2015-3040","title":"Tools for discovering and accessing Great Lakes scientific data","docAbstract":"

The Great Lakes Restoration Initiative (GLRI) is a multidisciplinary and interagency effort focused on the protection and restoration of the Great Lakes (GL) using the best available science and applying lessons learned from previous studies. The U.S. Geological Survey (USGS) contributes to the GLRI effort by providing resource managers with information and tools needed to meet restoration goals. This includes contributing scientific expertise and delivering findings to the GL community through meaningful information products.

\n

One of the strengths of the GLRI is its interagency approach; however, this can create challenges when coordinating the large number of restoration activities being performed by GL governments, tribes, academics, nonprofits, and industry. There is a vast array of data being produced by both the USGS and its partners, and it is crucial that scientists, managers, policymakers, and the public can easily locate the biological, geological, geospatial, and water-resources data being generated.

\n

The USGS strives to develop data products that are easy to find, easy to understand, and easy to use through Web-accessible tools that allow users to learn about the breadth and scope of GLRI activities being undertaken by the USGS and its partners. By creating tools that enable data to be shared and reused more easily, the USGS can encourage collaboration and assist the GL community in finding, interpreting, and understanding the information created during GLRI science activities.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153040","usgsCitation":"Lucido, J., and Bruce, J.L., 2015, Tools for discovering and accessing Great Lakes scientific data: U.S. Geological Survey Fact Sheet 2015-3040, 2 p., https://doi.org/10.3133/fs20153040.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065137","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":300655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153040.jpg"},{"id":300653,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3040/"},{"id":300654,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3040/pdf/fs2015-3040.pdf","text":"Report","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"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 -88.6376953125,\n 50.45750402042058\n ],\n [\n -90.68115234375,\n 49.52520834197442\n ],\n [\n -93.31787109374999,\n 47.234489635299184\n ],\n [\n -92.8564453125,\n 46.34692761055676\n ],\n [\n -89.23095703125,\n 46.437856895024204\n ],\n [\n -89.36279296875,\n 43.29320031385282\n ],\n [\n -88.3740234375,\n 42.439674178149424\n ],\n [\n -88.13232421875,\n 41.19518982948959\n ],\n [\n -85.53955078125,\n 41.261291493919884\n ],\n [\n -84.55078125,\n 40.49709237269567\n ],\n [\n -82.28759765625,\n 40.59727063442024\n ],\n [\n -79.013671875,\n 42.16340342422401\n ],\n [\n -76.31103515625,\n 42.08191667830631\n ],\n [\n -74.50927734375,\n 43.691707903073805\n ],\n [\n -74.72900390625,\n 44.29240108529005\n ],\n [\n -76.26708984375,\n 44.5278427984555\n ],\n [\n -80.44189453125,\n 47.87214396888731\n ],\n [\n -83.8037109375,\n 48.60385760823255\n ],\n [\n -87.451171875,\n 50.41551870402678\n ],\n [\n -88.6376953125,\n 50.45750402042058\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555ef3a1e4b0a92fa7eb9664","contributors":{"authors":[{"text":"Lucido, Jessica M. jlucido@usgs.gov","contributorId":4695,"corporation":false,"usgs":true,"family":"Lucido","given":"Jessica M.","email":"jlucido@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":547431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruce, Jennifer L. 0000-0003-4915-5567 jlbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-4915-5567","contributorId":132,"corporation":false,"usgs":true,"family":"Bruce","given":"Jennifer","email":"jlbruce@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173775,"text":"70173775 - 2015 - Agonistic behavior among three stocked trout species in a novel reservoir fish community","interactions":[],"lastModifiedDate":"2016-06-21T15:53:23","indexId":"70173775","displayToPublicDate":"2015-05-21T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Agonistic behavior among three stocked trout species in a novel reservoir fish community","docAbstract":"

The popularity of reservoirs to support sport fisheries has led to the stocking of species that did not co-evolve, creating novel reservoir fish communities. In Utah, the Bear Lake strain of Bonneville Cutthroat Trout Oncorhynchus clarkii utah and tiger trout (female Brown Trout Salmo trutta × male Brook Trout Salvelinus fontinalis) are being more frequently added to a traditional stocking regimen consisting primarily of Rainbow TroutO. mykiss. Interactions between these three predatory species are not well understood, and studies evaluating community interactions have raised concern for an overall decrease of trout condition. To evaluate the potential for negative interactions among these species, we tested aggression in laboratory aquaria using three-species and pairwise combinations at three densities. Treatments were replicated before and after feeding. During the three-species trials Rainbow Trout initiated 24.8 times more aggressive interactions than Cutthroat Trout and 10.2 times more aggressive interactions than tiger trout, and tiger trout exhibited slightly (1.9 times) more aggressive initiations than Cutthroat Trout. There was no significant difference in behavior before versus after feeding for any species, and no indication of increased aggression at higher densities. Although Rainbow Trout in aquaria may benefit from their bold, aggressive behavior, given observations of decreased relative survival in the field, these benefits may be outweighed in reservoirs, possibly through unnecessary energy expenditure and exposure to predators.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2015.1017126","usgsCitation":"Budy, P., and Hafen, K., 2015, Agonistic behavior among three stocked trout species in a novel reservoir fish community: North American Journal of Fisheries Management, v. 35, no. 3, p. 551-556, https://doi.org/10.1080/02755947.2015.1017126.","productDescription":"6 p.","startPage":"551","endPage":"556","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058150","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-21","publicationStatus":"PW","scienceBaseUri":"576a652fe4b07657d1a11cf1","contributors":{"authors":[{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hafen, Konrad","contributorId":172290,"corporation":false,"usgs":false,"family":"Hafen","given":"Konrad","affiliations":[],"preferred":false,"id":640154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70144908,"text":"pp1813 - 2015 - Mercury and methylmercury in reservoirs in Indiana","interactions":[],"lastModifiedDate":"2015-05-20T15:39:27","indexId":"pp1813","displayToPublicDate":"2015-05-20T16:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1813","title":"Mercury and methylmercury in reservoirs in Indiana","docAbstract":"

Mercury (Hg) is an element that occurs naturally, but evidence suggests that human activities have resulted in increased amounts being released to the atmosphere and land surface. When Hg is converted to methylmercury (MeHg) in aquatic ecosystems, MeHg accumulates and increases in the food web so that some fish contain levels which pose a health risk to humans and wildlife that consume these fish. Reservoirs unlike natural lakes, are a part of river systems that are managed for flood control. Data compiled and interpreted for six flood-control reservoirs in Indiana showed a relation between Hg transport, MeHg formation in water, and MeHg in fish that was influenced by physical, chemical, and biological differences among the reservoirs. Existing information precludes a uniform comparison of Hg and MeHg in all reservoirs in the State, but factors and conditions were identified that can indicate where and when Hg and MeHg levels in reservoirs could be highest.

\n

As part of a statewide monitoring network for Hg and MeHg in Indiana streams, 66 water samples were collected from four reservoir tailwater sites (downstream near the dams) on a quarterly schedule for 5 years. The reservoirs were Brookville Lake, Cagles Mill Lake, J. Edward Roush Lake, and Mississinewa Lake. Particulate-bound Hg concentrations were significantly lower in tailwater samples than in samples from free-flowing streams in the statewide network. (Free-flowing streams were not affected by dams and were not upstream from these reservoirs.) These data indicated the reduced flow velocity of water upstream from dams was allowing particulate-bound Hg to settle out of the water in the reservoir pools. The concentration ratios of MeHg to Hg were significantly higher in the tailwater samples than in samples from free-flowing streams, and the MeHg to Hg ratios were significantly higher in summer than in other seasons.

\n

To evaluate the conditions related to MeHg formation, pools of three reservoirs (Brookville Lake, Monroe Lake, and Patoka Lake) were investigated during summer hydrologic conditions. Water temperature and dissolved oxygen were measured from the water surface to the lake bottom at 10 to 17 transects across each reservoir to identify three thermal strata, defined by water temperature, dissolved oxygen concentration, and depth. Depth-specific water samples were collected from these thermal strata throughout each reservoir, from the headwaters to the dam and from the tailwater. Mercury concentrations higher than 0.04 nanogram per liter (ng/L) were detected in all 53 samples, and MeHg concentrations higher than 0.04 ng/L were detected in 53 percent of the samples.

\n

The investigation found a zone of water below 8 or 9 meters, with temperatures less than 18 degrees Celsius and dissolved oxygen less than 3.5 milligrams per liter, extending through nearly half the reservoir area in Monroe Lake and Patoka Lake. This zone had abundant dissolved MeHg and concentration ratios of dissolved MeHg to Hg that ranged from 25 to 82 percent. This zone also had water with pH less than 7 and decreased dissolved sulfate, conditions indicating sulfate reduction by microorganisms that promoted a high potential for the conversion of Hg to MeHg. Reservoir outflow came from this zone at Monroe Lake and contributed to a tailwater concentration ratio for dissolved MeHg to Hg of 56 percent. Reservoir outflow at Patoka Lake was not from this zone, and dissolved MeHg was not detected in the tailwater. In contrast, samples from the summer pool at Brookville Lake had no MeHg detections even though Hg was detected, probably because the water pH higher than 7 inhibited sulfate reduction and did not promote the conversion of Hg to MeHg.

\n

Mercury and MeHg concentrations and the concentration ratios of MeHg to Hg in water varied among the six reservoirs in Indiana, and the differences were related to a combination of factors that could apply to other reservoirs. In areas with moderate to high rates of atmospheric Hg wet and dry deposition, Hg runoff and transport to streams and reservoirs was potentially highest for reservoirs with heavily forested watersheds in steep terrains of near-surface bedrock. Methylmercury concentrations and concentration ratios of MeHg to Hg were highest for reservoirs with the longest summer pools and highest inflow-to-outflow retention times, where water-chemistry conditions favoring sulfate reduction promoted conversion of Hg to MeHg.

\n

Methylmercury (reported as Hg) in fish-tissue samples collected for the State fish consumption advisory program was used to describe MeHg food-web accumulation and magnification in the reservoirs. The highest percentages of fish-tissue samples with Hg concentrations that exceeded the criterion of 0.30 milligram per kilogram for protection of human health were from Monroe Lake (38 percent) and Patoka Lake (33 percent). A review of the number and size of fish species caught from these two reservoirs resulted in two implications for fish consumption by humans. First, the highest numbers of fish harvested for potential human consumption were species more likely to have MeHg concentrations lower than the human-health criterion (crappie, bluegill, and catfish). Second, although largemouth bass were likely to have MeHg concentrations higher than the human-health criterion, they were caught and released more often than they were harvested. However, the average size largemouth bass (in both reservoirs) and above-average size walleye (in Monroe Lake) that were harvested for potential human consumption were likely to have MeHg concentrations higher than the human-health criterion.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1813","usgsCitation":"Risch, M.R., and Fredericksen, A.L., 2015, Mercury and methylmercury in reservoirs in Indiana: U.S. Geological Survey Professional Paper 1813, vii, 57 p., https://doi.org/10.3133/pp1813.","productDescription":"vii, 57 p.","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-032724","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":300626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1813.jpg"},{"id":300624,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1813/pdf/pp1813.pdf","text":"Report","size":"6.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300623,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1813/"}],"country":"United States","state":"Indiana","otherGeospatial":"Brookville Lake, Cagles Mill Lake, J. 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Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1088","title":"California State Waters Map Series — Offshore of Tomales Point, California","docAbstract":"

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 200 m) subsurface geology.

\n

Tomales Bay, approximately 20-km long and 1- to 2-km wide, formed along a submerged portion of the San Andreas Fault, which forms a right-lateral transform boundary between the North American and Pacific tectonic plates. The fault juxtaposes Cretaceous granitic rock to the southwest (exposed on Tomales Point) with the Jurassic and Cretaceous Franciscan Complex to the northeast (exposed on the northeast coast of the Tomales Bay), and has an estimated slip rate of about 17 to 30 mm/yr in this area. The destructive great 1906 California earthquake (M7.8, 4/18/1906) is thought to have nucleated on the San Andreas Fault about 60 km to the south, offshore of San Francisco, with the rupture extending northward through Tomales Bay and for an additional about 230 km to the south flank of Cape Mendocino.

\n

The northwest coast of Tomales Point is characterized by steep, high (as much as 100 m), barren, granitic cliffs and a rugged shoreline with a few small pocket beaches. There has been as much as 48 m of Tomales Point cliff retreat from 1929–30 to 2002. The granite is overlain by less resistant Tertiary sandstones at Kehoe Beach, the northern end of a continuous, wide, sandy beach backed by a large coastal dune field that extends for about 20 km south to Point Reyes Head. This long beach has a mixed history of accretion and retreat since the late 1800s.

\n

Tomales Point relief is asymmetrical so that most small coastal watersheds in the map area drain eastward from Inverness Ridge into Tomales Bay. Many of these steep drainages have small sandy beaches at their mouths. The east coast of Tomales Bay is characterized by more gentle, hummocky, hilly relief underlain by the landslide-prone Franciscan Complex. Keys Creek, the most prominent small watershed entering Tomales Bay from the east, has a small subaqueous delta at its mouth. Central Tomales Bay is relatively flat and underlain by fine sand and silt. The mouth of Tomales Bay is characterized by sand waves, dunes, and flats that have formed in response to strong tidal flow.

\n

Sand Point and Dillon Beach are located at the mouth of Tomales Bay and on the southeasternmost shores of Bodega Bay, respectively. The wide beach in this area is backed by an extensive (4.8 km2) sand-dune complex. The enormous volume of sand on the beach and in the dune field is derived from southward littoral drift. This sediment is trapped by Tomales Bay and Tomales Point, which function as the south end of the Bodega Bay littoral cell.

\n

The continental shelf in California’s State Waters in the Offshore of Tomales Point map area extends to water depths of about 70 m (mean slope of about 0.7°) and is characterized by extensive, rugged, rocky seafloor. Granitic seafloor has a massive and fractured texture, whereas seafloor sedimentary rock outcrops commonly form distinctive “ribs” created by differential seafloor erosion of dipping beds of variable resistance. Direct sediment supply to this shelf is minimal because littoral drift is blocked to the north by Tomales Bay and Tomales Point, and to the south by the Point Reyes headland.

\n

Circulation over the continental shelf in the map area (and in the broader northern California region) is dominated by the southward-flowing California Current, the eastern limb of the North Pacific Gyre. Associated upwelling brings cool, nutrient-rich waters to the surface, resulting in high biological productivity. The current flow generally is southeastward during the spring and summer; however, during the fall and winter, the otherwise persistent northwest winds are sometimes weak or absent, causing the California Current to move farther offshore and the Davidson Current, a weaker, northward-flowing countercurrent, to become active. As a result, net flow over the continental shelf can be more southerly during the spring and summer and more northerly during the fall and winter.

\n

Throughout the year, this part of the central California coast is exposed to four wave climate regimes—the north Pacific swell, the southern swell, northwest wind waves, and local wind waves. The north Pacific swell dominates in winter months (typically November through March), with wave heights at offshore buoys ranging from 2 to 10 m and wave periods ranging from 10 to 25 s. During summer months, the largest waves come from the southern swell, generated by storms in the south Pacific and offshore Central America. Characteristically, these swells have smaller wave heights (0.3 to 3 m) and similarly long periods (range 10 to 25 s). Northwest wind waves affect the coast throughout the year, while local wind waves are most common from October to April. These two wind-wave regimes typically have wave heights of 1 to 4 m and short periods (3 to 10 s).

\n

Potential marine benthic habitats in the Offshore of Tomales Point map area range from unconsolidated continental-shelf sediment, to rocky continental-shelf substrate, to unconsolidated estuary sediments. Rocky-shelf outcrops and rubble are considered to be promising potential habitats for rockfish and lingcod, both of which are recreationally and commercially important species. Dynamic bedforms, such as the sand waves at the mouth of Tomales Bay, are considered potential foraging habitat for juvenile lingcod and possibly migratory fishes, as well as for forage fish such as Pacific sand lance.

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Strong‐motion accelerometers provide onscale seismic recordings during moderate‐to‐large ground motions (e.g., up to tens of m/s2 peak). Such instruments have played a fundamental role in improving our understanding of earthquake source physics (Bocketal., 2011), earthquake engineering (Youdet al., 2004), and regional seismology (Zollo et al., 2010). Although strong‐motion accelerometers tend to have higher noise levels than high‐quality broadband velocity seismometers, their higher clip‐levels provide linear recordings at near‐field sites even for the largest of events where a collocated broadband sensor would no longer be able to provide onscale recordings (Clinton and Heaton, 2002).

\n

Recently, the seismological community has begun to make use of strong‐motion accelerometer data even in the absence of large ground motions (e.g., Tibuleac et al., 2011). The noise floor of the instruments often limits the usefulness of strong‐motion accelerometer data in such studies, because it obscures first arrivals or can make the traces dominated by noise. When a strong‐motion accelerometer is deployed in a quiet setting, the noise floors of the digitizer and the accelerometer tend to dominate the other noise sources (Cauzzi and Clinton, 2013). This situation is unlike that using broadband sensors, in which site conditions are typically the largest contributing source of noise in seismic data, especially at long periods (Wilson et al., 2002). With the widespread deployment of strong‐motion accelerometers recorded on high resolution digitizers, it is now possible to get continuous high‐rate acceleration data in which the digitizer noise is not the dominant noise source (Cauzzi and Clinton, 2013).

\n

To better characterize the noise of a number of commonly deployed accelerometers in a standardized way, we conducted noise measurements on five different models of strong‐motion accelerometers. Our study was limited to traditional accelerometers (Fig. 1) and is in no way exhaustive.

","language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0220150027","usgsCitation":"Ringler, A.T., Evans, J.R., and Hutt, C.R., 2015, Self-noise models of five commercial strong-motion accelerometers: Seismological Research Letters, v. 86, no. 4, p. 1143-1147, https://doi.org/10.1785/0220150027.","productDescription":"5 p.","startPage":"1143","endPage":"1147","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065493","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":305951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-20","publicationStatus":"PW","scienceBaseUri":"55b361b6e4b09a3b01b5dab5","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, John R. jrevans@usgs.gov","contributorId":529,"corporation":false,"usgs":true,"family":"Evans","given":"John","email":"jrevans@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":564681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147159,"text":"ofr20151083 - 2015 - Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2012","interactions":[],"lastModifiedDate":"2024-03-04T19:05:07.028529","indexId":"ofr20151083","displayToPublicDate":"2015-05-20T11:45:00","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":"2015-1083","title":"Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2012","docAbstract":"

The endangered West Indian manatee (Trichechus manatus), especially the Florida subspecies (T. m. latirostris), has been the focus of conservation efforts and extensive research since its listing under the Endangered Species Act. On the basis of the best information available as of December 2012, the threats facing the Florida manatee were determined to be less severe than previously thought, either because the conservation efforts have been successful, or because our knowledge of the demographic effects of those threats is increased, or both. Using the manatee Core Biological Model, we estimated the probability of the Florida manatee population on either the Atlantic or Gulf coast falling below 500 adults in the next 150 years to be 0.92 percent. The primary threats remain watercraft-related mortality and long-term loss of warm-water habitat. Since 2009, however, there have been a number of unusual events that have not yet been incorporated into this analysis, including several severely cold winters, a severe red-tide die off, and substantial loss of seagrass habitat in Brevard County, Fla. Further, the version of the Core Biological Model used in 2012 makes a number of assumptions that are under investigation. A revision of the Core Biological Model and an update of this quantitative threats analysis are underway as of 2015.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151083","usgsCitation":"Runge, M.C., Langtimm, C.A., Martin, J., and Fonnesbeck, C.J., 2015, Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2012: U.S. Geological Survey Open-File Report 2015-1083, v, 23 p., https://doi.org/10.3133/ofr20151083.","productDescription":"v, 23 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-064691","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":300427,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1083/"},{"id":300430,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151083.jpg"},{"id":300428,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1083/pdf/ofr2015-1083.pdf","size":"2.03 MB","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555da21ce4b0a92fa7eb82bd","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":545700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":545701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":545702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fonnesbeck, Christopher J.","contributorId":83047,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":545703,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155240,"text":"70155240 - 2015 - 2013 Survey of Iowa groundwater and evaluation of public well vulnerability classifications for contaminants of emerging concern","interactions":[],"lastModifiedDate":"2017-06-08T12:03:04","indexId":"70155240","displayToPublicDate":"2015-05-20T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5415,"text":"Iowa Geological and Water Survey Technical Information Series","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"57","title":"2013 Survey of Iowa groundwater and evaluation of public well vulnerability classifications for contaminants of emerging concern","docAbstract":"

Studies in Iowa have long documented the vulnerability of wells with less than 50 feet (15 meters) of confining materials above the source aquifer to contamination from nitrate and various pesticides. Recent studies in Wisconsin have documented the occurrence of viruses in untreated groundwater, even in wells considered to have little vulnerability to contamination from near-surface activities. In addition, sensitive methods have become available for analyses of pharmaceuticals and pesticides. This study represents the first comprehensive examination of contaminants of emerging concern in Iowa’s groundwater conducted to date, and one of the first conducted in the United States.

Raw groundwater samples were collected from 66 public supply wells during the spring of 2013, when the state was recovering from drought conditions. Samples were analyzed for 206 chemical and biological parameters; including 20 general water-quality parameters and major ions, 19 metals, 5 nutrients, 10 virus groups, 3 species of pathogenic bacteria, 5 microbial indicators, 108 pharmaceuticals, 35 pesticides and pesticide degradates, and tritium. The wells chosen for this study represent a diverse range of ages, depths, confining material thicknesses, pumping rates, and land use settings.

The most commonly detected contaminant group was pesticide compounds, which were present in 41% of the samples. As many as 6 pesticide compounds were found together in a sample, most of which were chloroacetanilide degradates. While none of the measured concentrations of pesticide compounds exceeded current benchmark levels, several of these compounds are listed on the U.S. Environmental Protection Agency’s Contaminant Candidate List and could be subject to drinking water standards in the future. Despite heavy use in the past decade, glyphosate was not detected, and its metabolite, aminomethylphosphonic acid, was only detected in two of 60 wells tested (3%) at the detection limit of 0.02 μg/L.

Pharmaceutical compounds were detected in 35% of 63 samples. Of the 14 pharmaceuticals detected, six had reported concentrations above the method reporting limit, with the maximum reported concentration of 826 ng/L for acetaminophen. Diphenhydramine was the only pharmaceutical to have two detections above the reporting limit, at 24.5 and 145 ng/L. Eight pharmaceuticals had confirmed detections at concentrations below the method reporting limit. Caffeine was the most frequently detected pharmaceutical compound (25%), followed by the caffeine metabolite, 1,7- dimethylxanthine (16%).

 Microorganisms were detected in 21% of the wells using quantitative polymerase chain reaction methodologies. The most frequently detected microorganism was the pepper mild mottle virus (PMMV), a plant pathogen found in human waste. PMMV was detected in 17% of samples at concentrations ranging from 0.4 to 6.38 gene copies per liter. GII norovirus, human polyomavirus, bovine polyomavirus, and Campylobacter were also detected, while adenovirus, enterovirus, GI norovirus, swine hepatitis E, Salmonella, and enterohemmorhagic E. coli were not detected. No correlations were found between viruses or pathogenic bacteria and microbial indicators.

Wells with less than 50 feet (15 meters) of confining material were shown to have greater incidence of surface-related contaminants; however, significant relationships (p<0.05) between confining layer thickness and contaminants were only found for nitrate and herbicides.


","language":"English","publisher":"Iowa Department of Natural Resources","usgsCitation":"Hruby, C.E., Libra, R.D., Fields, C.L., Kolpin, D.W., Hubbard, L.E., Borchardt, M.R., Spencer, S.K., Wichman, M.D., Hall, N., Schueller, M.D., Furlong, E.T., and Weyer, P.J., 2015, 2013 Survey of Iowa groundwater and evaluation of public well vulnerability classifications for contaminants of emerging concern: Iowa Geological and Water Survey Technical Information Series 57, 114 p. .","productDescription":"114 p. 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Marine geology and geomorphology were mapped along the continental shelf and upper slope between Point Piedras Blancas and Pismo Beach, California. The map area is divided into the following three (smaller) map areas, listed from north to south: San Simeon, Morro Bay, and Point San Luis. Each smaller map area consists of a geologic map and the corresponding geophysical data that support the geologic mapping. Each geophysical data sheet includes shaded-relief multibeam bathymetry, seismic-reflection-survey tracklines, and residual magnetic anomalies, as well as a smaller version of the geologic map for reference. Offshore geologic units were delineated on the basis of integrated analysis of adjacent onshore geology, seafloor-sediment and rock samples, multibeam bathymetry and backscatter imagery, magnetic data, and high-resolution seismic-reflection profiles. Although the geologic maps are presented here at 1:35,000 scale, map interpretation was conducted at scales of between 1:6,000 and 1:12,000.

\n

Sea level was approximately 120 to 130 m lower during the Last Glacial Maximum (about 21 ka). This approximate depth corresponds to the modern shelf break, a lateral change from the gently dipping (0.8° to 1.0°) outer shelf to the slightly more steeply dipping (about 1.5° to 2.5°) upper slope in the central and northern parts of the map area. South of Point San Luis in San Luis Bay, deltaic deposits offshore of the mouth of the Santa Maria River (11 km south of the map area) have prograded across the shelf break and now form a continuous low-angle (about 0.8°) ramp that extends to water depths of more than 160 m. The shelf break defines the landward boundary of slope deposits. North of Estero Bay, the shelf break is characterized by a distinctly sharp slope break that is mapped as a landslide headscarp above landslide deposits. Multibeam imagery and seismic-reflection profiles across this part of the shelf break show evidence of slope failure, such as slumping, sliding, and soft-sediment deformation, along the entire length of the scarp. Notably, this shelf-break scarp corresponds to a west splay of the Hosgri Fault that dies out just north of the scarp, suggesting that faulting is controlling the location (and instability) of the shelf break in this area.

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Series — Drakes Bay and vicinity, California","docAbstract":"

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.

\n

The Drakes Bay and Vicinity map area is located in northern California, about 30 km north of San Francisco and about 65 km south of Fort Ross. The map area is in the northern part of the Gulf of the Farallones National Marine Sanctuary, and it includes all or parts of four California Marine Protected Areas. The largely undeveloped onshore part of the map area, which occupies much of the southern and southeastern parts of the Point Reyes peninsula, is used primarily for grazing, as well as recreation, as it is home to the Point Reyes National Seashore. The triangular Point Reyes peninsula, which lies completely west of the San Andreas Fault Zone, is bounded by the steep terrain of Inverness Ridge along its northeastern margin, Tomales Point at its northernmost tip, Point Reyes at its southwesternmost point, and Bolinas at its southern end. The landscape in between includes (from southeast to northwest) the sandy beaches along Drakes Bay, the estuaries of Drakes Estero and Estero de Limantour, and the long, windswept Point Reyes Beach, which is backed by an extensive dune field.

\n

The seafloor in the map area generally extends from the shoreline to water depths of about 40 to 50 m, except for the area south of the Point Reyes headland where water depths reach 60 to 70 m. This bathymetric gradient south and west of the Point Reyes headland is related to north-side-up motion along the Point Reyes Fault Zone. Except for the bathymetric gradient across the Point Reyes Fault Zone, the bedrock platform in the nearshore and inner shelf areas (50 to 60 m depth) is relatively flat (less than 1.0°) and is overlain by sand-sized to coarser grained sediment. Finer grained sediments are found in water depths greater than 60 m south of the Point Reyes headland, but they also extend into shallower (less than 40 m) water within Drakes Bay. Surficial and shallow sediments were deposited in the last about 21,000 years during the approximately 125-m sea-level rise that followed the last major lowstand associated with the Last Glacial Maximum, at which time the entire Drakes Bay and Vicinity map area was emergent and the shoreline was about 30 km south and west of the present-day shoreline.

\n

Tectonic influences that impact the shelf morphology and geology in the map area are related to local faulting, folding, uplift, and subsidence. Offshore of the Point Reyes headland, granitic basement rocks are offset vertically about 1.4 km along the Point Reyes Fault Zone; this uplift, combined with west-side-up offset on the San Andreas Fault Zone, has resulted in uplift of the Point Reyes peninsula and the adjacent shelf. Late Pleistocene uplift of marine terraces on the southern Point Reyes peninsula suggests active deformation of offshore structures west of the San Andreas Fault Zone. Pervasive stratal thinning within inferred uppermost Pliocene and Pleistocene deposits above the west strand of the Point Reyes Fault Zone suggests Quaternary active shortening of the curvilinear, northeast- to north-dipping Point Reyes Fault Zone. Lack of clear deformation in the uppermost Pleistocene and Holocene deposits suggests that activity along the Point Reyes Fault Zone has ceased or slowed since about 21,000 years ago.

\n

Seafloor habitats in the Drakes Bay and Vicinity map area range from unconsolidated continental-shelf sediment to hard substrate. Rocky-shelf outcrops and rubble are considered to be promising potential habitats for rockfish and lingcod, both of which are recreationally and commercially important species.

\n

Circulation over the continental shelf in the map area is dominated by the southward-flowing California Current, the eastern limb of the North Pacific Gyre. Associated upwelling brings cool, nutrient-rich waters to the surface, resulting in high biological productivity. The current flow generally is southeastward during the spring and summer; however, during the fall and winter, the otherwise persistent northwest winds are sometimes weak or absent, causing the California Current to move farther offshore and the Davidson Current, a weaker, northward-flowing countercurrent, to become active.

\n

Sediment transport in the map area largely is controlled by surface waves and tidal currents in the nearshore and, at depths greater than 20 to 30 m, by tidal and subtidal currents. In the map area, nearshore littoral drift of sand and coarse sediment is to the south, owing to the dominant west-northwest swell direction, and scour from large waves and tidal currents removes and redistributes sediment over large areas of the inner shelf. Tidal currents are particularly strong over the shelf in the map area, and they dominate the current regime in the nearshore. Further offshore, bottom currents generally flow to the northwest, distributing finer grained sediment accordingly.

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2015 - Stable isotope values in pup vibrissae reveal geographic variation in diets of gestating Steller sea lions Eumetopias jubatus","interactions":[],"lastModifiedDate":"2015-05-19T14:20:10","indexId":"70148089","displayToPublicDate":"2015-05-19T14:00:00","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":"Stable isotope values in pup vibrissae reveal geographic variation in diets of gestating Steller sea lions Eumetopias jubatus","docAbstract":"

Multiple factors, including limitation in food resources, have been proposed as possible causes for the lack of recovery of the endangered western segment of the Steller sea lion population in the United States. Because maternal body condition has important consequences on fetal development and neonatal survival, the diets of pregnant females may be particularly important in regulating population sizes. We used the stable carbon and nitrogen isotope values of vibrissae from Steller sea lion pups as an indirect indicator of maternal diets during gestation. Combining these data with isotope data from potential prey species in a Bayesian mixing model, we generated proportional estimates of dietary consumption for key prey. Our analysis indicated that females in the most westerly metapopulations relied heavily on Atka mackerel and squid, whereas females inhabiting the Gulf of Alaska region had a fairly mixed diet, and the metapopulation of Southeast Alaska showed a strong reliance on forage fish. These results are similar to previous data from scat collections; however, they indicate a possible under-representation of soft-bodied prey (squid) or prey with fragile skeletons (forage fish) from analyses of data from scats. This study supports the utility of stable isotope modeling in predicting diet composition in gestating adult female Steller sea lions during winter, using pup vibrissae.

","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11255","usgsCitation":"Scherer, R.D., Doll, A.C., Rea, L.D., Christ, A.M., Stricker, C.A., Witteveen, B., Kline, T.C., Kurle, C.M., and Wunder, M., 2015, Stable isotope values in pup vibrissae reveal geographic variation in diets of gestating Steller sea lions Eumetopias jubatus: Marine Ecology Progress Series, v. 527, p. 261-274, https://doi.org/10.3354/meps11255.","productDescription":"14 p.","startPage":"261","endPage":"274","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059940","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11255","text":"Publisher Index Page"},{"id":300571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70148040,"text":"ofr20151101 - 2015 - Determination of the acute toxicity of isoniazid to three invasive carp species and rainbow trout in static exposures","interactions":[],"lastModifiedDate":"2015-05-19T10:06:41","indexId":"ofr20151101","displayToPublicDate":"2015-05-19T11:00:00","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":"2015-1101","title":"Determination of the acute toxicity of isoniazid to three invasive carp species and rainbow trout in static exposures","docAbstract":"

Three invasive fishes of considerable concern to aquatic resource managers are the Hypophthalmichthys nobilis (bighead carp),Hypophthalmichthys molitrix (silver carp), and Ctenopharyngodon idella (grass carp), collectively known as Asian carps. There is a need for an effective chemical control agent for Asian carps. Isoniazid was identified as a potential toxicant for grass carp. The selective toxicity of isoniazid to grass carp was verified as a response to an anecdotal report received in 2013. In addition, the toxicity of isoniazid to bighead carp, silver carp, and Oncorhynchus mykiss (rainbow trout) was evaluated. Isoniazid was not toxic to grass carp at the reported anecdotal concentration, which was 13 milligrams per liter. Isoniazid (130 milligrams per liter) was not selectively toxic to bighead carp, silver carp, or grass carp when compared to rainbow trout.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151101","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Schreier, T.M., and Hubert, T.D., 2015, Determination of the acute toxicity of isoniazid to three invasive carp species and rainbow trout in static exposures: U.S. Geological Survey Open-File Report 2015-1101, vi, 9 p., https://doi.org/10.3133/ofr20151101.","productDescription":"vi, 9 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059963","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":300542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151101.jpg"},{"id":300540,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1101/"},{"id":300541,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1101/pdf/ofr2015-1101.pdf","text":"Report","size":"416 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555c509ce4b0a92fa7eacbba","contributors":{"authors":[{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":546924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":546925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118125,"text":"ds69T - 2015 - Geologic assessment of undiscovered oil and gas resources of the U.S. portion of the Michigan Basin","interactions":[],"lastModifiedDate":"2024-07-23T16:41:37.727086","indexId":"ds69T","displayToPublicDate":"2015-05-19T08:00:00","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":"69","chapter":"T","title":"Geologic assessment of undiscovered oil and gas resources of the U.S. portion of the Michigan Basin","docAbstract":"

In 2004, the U.S. Geological Survey (USGS) completed an assessment of the undiscovered oil and gas potential of the U.S. portion of the Michigan Basin. For this assessment, the Michigan Basin includes most of the State of Michigan, as well as parts of Illinois, Indiana, Minnesota, Ohio, and Wisconsin. The assessment was based on the geologic elements of each of the six total petroleum systems defined in the basin, including (1) hydrocarbon source rocks (source-rock maturation and hydrocarbon generation and migration), (2) reservoir rocks (sequence stratigraphy and petrophysical properties), and (3) hydrocarbon traps (trap formation and timing). Using this geologic framework, the USGS estimated mean technically recoverable undiscovered continuous and conventional resources that total 990 million barrels of oil, 11.4 trillion cubic feet of natural gas, and 219 million barrels of natural gas liquids.

\n

Digital Data Series 69-T (DDS-69-T) is cataloged in the Pubs Warehouse as Data Series 69-T (DS-69-T).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69T","collaboration":"National Assessment of Oil and Gas Project","usgsCitation":"U.S. Geological Survey Michigan Basin Province Assessment Team, Swezey, C., Hatch, J.R., Hayba, D.O., Repetski, J.E., Charpentier, R., Cook, T.A., Klett, T., Pollastro, R.M., Anderson, C.P., Schenk, C.J., East, J.A., and Le, P., 2015, Geologic assessment of undiscovered oil and gas resources of the U.S. portion of the Michigan Basin: U.S. Geological Survey Data Series 69, Report: 4 Chapters, variously paged; Michigan Basin Database, https://doi.org/10.3133/ds69T.","productDescription":"Report: 4 Chapters, variously paged; Michigan Basin Database","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-051493","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science 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River","interactions":[],"lastModifiedDate":"2016-08-03T11:13:10","indexId":"70160655","displayToPublicDate":"2015-05-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of 2H and 18O stable isotopes to investigate water sources for different ages of Populus euphratica along the lower Heihe River","docAbstract":"

Investigation of the water sources used by trees of different ages is essential to formulate a conservation strategy for the riparian tree, P. euphratica. This study addressed the contributions of different potential water sources to P. euphratica based on levels of stable oxygen and hydrogen isotopes (δ18O, δ2H) in the xylem of different aged P. euphratica, as well as in soil water and groundwater along the lower Heihe River. We found significant differences in δ18O values in the xylem of different aged P. euphratica. Specifically, the δ18O values of young, mature and over-mature forests were −5.368(±0.252) ‰, −6.033(± 0.185) ‰ and −6.924 (± 0.166) ‰, respectively, reflecting the reliance of older trees on deeper sources of water with a δ18O value closer to that of groundwater. Different aged P. euphratica used different water sources, with young forests rarely using groundwater (mean <15 %) and instead primarily relying on soil water from a depth of 0–50 cm (mean >45 %), and mature and over-mature forests using water from deeper than 100 cm derived primarily from groundwater.

","language":"English","publisher":"Springer Japan","doi":"10.1007/s11284-015-1270-6","usgsCitation":"Liu, S., Chen, Y., Chen, Y., Friedman, J.M., Fan, G., and Hati, J.H., 2015, Use of 2H and 18O stable isotopes to investigate water sources for different ages of Populus euphratica along the lower Heihe River: Ecological Research, v. 30, no. 4, p. 581-587, https://doi.org/10.1007/s11284-015-1270-6.","productDescription":"7 p.","startPage":"581","endPage":"587","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059426","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11284-015-1270-6","text":"Publisher Index Page"},{"id":312929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Lower Heihe River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 98.81103515625,\n 38.81403111409755\n ],\n [\n 98.81103515625,\n 42.21224516288584\n ],\n [\n 102.67822265625,\n 42.21224516288584\n ],\n [\n 102.67822265625,\n 38.81403111409755\n ],\n [\n 98.81103515625,\n 38.81403111409755\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-19","publicationStatus":"PW","scienceBaseUri":"56826b49e4b0a04ef4925bab","contributors":{"authors":[{"text":"Liu, Shubao","contributorId":150884,"corporation":false,"usgs":false,"family":"Liu","given":"Shubao","email":"","affiliations":[{"id":18132,"text":"Xinjiang Institute of Ecology and Geography, China","active":true,"usgs":false}],"preferred":false,"id":583476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Yaning","contributorId":150885,"corporation":false,"usgs":false,"family":"Chen","given":"Yaning","email":"","affiliations":[{"id":18132,"text":"Xinjiang Institute of Ecology and Geography, China","active":true,"usgs":false}],"preferred":false,"id":583477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Yapeng","contributorId":150886,"corporation":false,"usgs":false,"family":"Chen","given":"Yapeng","email":"","affiliations":[{"id":18132,"text":"Xinjiang Institute of Ecology and Geography, China","active":true,"usgs":false}],"preferred":false,"id":583478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":583475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fan, Gonghuan","contributorId":150887,"corporation":false,"usgs":false,"family":"Fan","given":"Gonghuan","email":"","affiliations":[{"id":18132,"text":"Xinjiang Institute of Ecology and Geography, China","active":true,"usgs":false}],"preferred":false,"id":583479,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hati, Jarre Heng A.","contributorId":150888,"corporation":false,"usgs":false,"family":"Hati","given":"Jarre","email":"","middleInitial":"Heng A.","affiliations":[],"preferred":false,"id":583482,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70146632,"text":"sim3326 - 2015 - Water-table and potentiometric-surface altitudes in the Upper Glacial, Magothy, and Lloyd aquifers of Long Island, New York, April-May 2013","interactions":[],"lastModifiedDate":"2016-06-23T16:08:43","indexId":"sim3326","displayToPublicDate":"2015-05-18T23:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3326","title":"Water-table and potentiometric-surface altitudes in the Upper Glacial, Magothy, and Lloyd aquifers of Long Island, New York, April-May 2013","docAbstract":"

The U.S. Geological Survey (USGS), in cooperation with State and local agencies, systematically collects groundwater data at varying measurement frequencies to monitor the hydrologic conditions on Long Island, New York. Each year during April and May, the USGS conducts a synoptic survey of water levels to define the spatial distribution of the water table and potentiometric surfaces within the three main water-bearing units underlying Long Island—the upper glacial, Magothy, and Lloyd aquifers (Smolensky and others, 1989)—and the hydraulically connected Jameco (Soren, 1971) and North Shore aquifers (Stumm, 2001). These data and the maps constructed from them are commonly used in studies of Long Island's hydrology and are utilized by water managers and suppliers for aquifer management and planning purposes.

\n

Water-level measurements made in 502 monitoring wells (observation and supply wells) and 16 streamgage locations across Long Island during April–May 2013 were used to prepare the maps in this report. Groundwater measurements were made by the wetted-tape method to the nearest hundredth of a foot. Contours of water-table and potentiometric-surface altitudes were created by using the groundwater measurements. The water-table contours were interpreted by using water-level data collected from 16 streamgages, 334 observation wells, and 1 supply well screened in the upper glacial aquifer or the shallow Magothy aquifer; the Magothy aquifer's potentiometric-surface contours were interpreted from measurements at 70 observation wells and 31 supply wells screened in the middle to deep Magothy aquifer and the contiguous and hydraulically connected Jameco aquifer. The Lloyd aquifer's potentiometric-surface contours were interpreted from measurements at 58 observation wells and 8 supply wells screened in the Lloyd aquifer and the contiguous and hydraulically connected North Shore aquifer. Many of the supply wells are in continuous operation and therefore, were turned off for a minimum of 24 hours before measurements were made to allow the water levels in the wells to recover to ambient (non-pumping) conditions. Full recovery time at some of these supply wells can exceed 24 hours; therefore, water levels measured at these wells are assumed to be less accurate than those measured at observation wells, which are not pumped (Busciolano, 2002). In addition to pumping stresses, elevated chloride concentrations (saline water) also lower the water levels measured in certain wells. This reduction in water level is the result of saline water being denser than freshwater (Lusczynski, 1961). In this report, all water-level altitudes are referenced to the National Geodetic Vertical Datum of 1929 (NGVD 29).

\n

The land surface or topography was downloaded from the National Map portal (http://nationalmap.gov), which represents the most currently available terrain representation as a 10-meter digital elevation model (DEM). The National Map terrain representation was combined with additional land surface terrain models of Suffolk County and New York City, which were collected using lidar to produce a high accuracy three-dimensional land surface altitude model based on the geospatial product for coastal flood mapping. The datum for land surface altitude is North American Vertical Datum of 1988 (NAVD 88). On Long Island NAVD 88 is approximately 1-foot lower than NGVD 29.

\n

Hydrographs are included on these maps for selected wells that have digital recording equipment. These hydrographs are representative of the 2013 water year to show the changes that have occurred throughout that period. The synoptic survey water level measured at the well is included on each hydrograph.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3326","collaboration":"Prepared in cooperation with the Long Island Water Conference, Nassau County Department of Public Works, New York City Department of Environmental Protection, Port Washington Water District, Suffolk County Department of Health Services, Towns of North Hempstead and Shelter Island, Manhasset-Lakeville Water District, Nassau Suffolk Water Commissioners Association, New York State Department of Environmental Conservation, Sands Point Water Department, Suffolk County Water Authority, Water Authority of Great Neck North","usgsCitation":"Como, M.D., Noll, M.L., Finkelstein, J.S., Monti, J., and Busciolano, R., 2015, Water-table and potentiometric-surface altitudes in the Upper Glacial, Magothy, and Lloyd aquifers of Long Island, New York, April-May 2013: U.S. Geological Survey Scientific Investigations Map 3326, Pamphlet: 8 p.; 4 Plates: 72.0 x 34.0 inches, https://doi.org/10.3133/sim3326.","productDescription":"Pamphlet: 8 p.; 4 Plates: 72.0 x 34.0 inches","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-04-01","temporalEnd":"2013-05-31","ipdsId":"IP-060337","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":300539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3326.JPG"},{"id":300535,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3326/pdf/sim3326_s1p.pdf","text":"Sheet 1 (Water table)","size":"11.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"72\" X 34\" Print size (11.3 MB)","linkHelpText":"SIM 3326 Sheet 1"},{"id":300533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3326/"},{"id":300538,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3326/pdf/sim3326_s4p.pdf","text":"Sheet 4 (Depth to water table)","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"72\" X 34\" Print size (11.1 MB)","linkHelpText":"SIM 3326 Sheet 4"},{"id":300534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3326/pdf/sim3326.pdf","text":"Text Pamphlet","size":"78 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"SIM 3326 Text"},{"id":300536,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3326/pdf/sim3326_s2p.pdf","text":"Sheet 2 (Potentiometric surface in the Magothy and Jameco aquifers)","size":"11.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"72\" X 34\" Print size (11.2 MB)","linkHelpText":"SIM 3326 Sheet 2"},{"id":300537,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3326/pdf/sim3326_s3p.pdf","text":"Sheet 3 (Potentiometric surface in the Lloyd and North Shore aquifers)","size":"17.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"72\" X 34\" Print size (17.8 MB)","linkHelpText":"SIM 3326 Sheet 3"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.80615234375,\n 40.80965166748856\n ],\n [\n -73.9434814453125,\n 40.78054143186031\n ],\n [\n -74.014892578125,\n 40.730608477796636\n ],\n [\n -74.0643310546875,\n 40.61812224225511\n ],\n [\n -74.0093994140625,\n 40.56389453066509\n ],\n [\n -73.9324951171875,\n 40.53050177574321\n ],\n [\n -73.2843017578125,\n 40.60561205826018\n ],\n [\n -72.8668212890625,\n 40.72644570551446\n ],\n [\n -71.8011474609375,\n 41.075210270566636\n ],\n [\n -71.949462890625,\n 41.08763212467916\n ],\n [\n -72.125244140625,\n 41.13729606112276\n ],\n [\n -72.257080078125,\n 41.15797827873605\n ],\n [\n -72.333984375,\n 41.166249339091976\n ],\n [\n -72.6251220703125,\n 41.0130657870063\n ],\n [\n -73.1524658203125,\n 40.98819156349393\n ],\n [\n -73.4051513671875,\n 40.95915977213492\n ],\n [\n -73.7127685546875,\n 40.89275342420696\n ],\n [\n -73.80615234375,\n 40.80965166748856\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
(518) 285-5600
http://ny.water.usgs.gov

","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555c509ee4b0a92fa7eacbc2","contributors":{"authors":[{"text":"Como, Michael D. 0000-0002-7911-5390 mcomo@usgs.gov","orcid":"https://orcid.org/0000-0002-7911-5390","contributorId":4651,"corporation":false,"usgs":true,"family":"Como","given":"Michael","email":"mcomo@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236 jfinkels@usgs.gov","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":4949,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason","email":"jfinkels@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monti, Jack Jr. jmonti@usgs.gov","contributorId":1185,"corporation":false,"usgs":true,"family":"Monti","given":"Jack","suffix":"Jr.","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Busciolano, Ronald 0000-0002-9257-8453 rjbuscio@usgs.gov","orcid":"https://orcid.org/0000-0002-9257-8453","contributorId":1059,"corporation":false,"usgs":true,"family":"Busciolano","given":"Ronald","email":"rjbuscio@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":545161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70147837,"text":"ofr20151090 - 2015 - In-reservoir behavior, dam passage, and downstream migration of juvenile Chinook salmon and juvenile steelhead from Detroit Reservoir and Dam to Portland, Oregon, February 2013-February 2014","interactions":[],"lastModifiedDate":"2015-05-18T14:32:07","indexId":"ofr20151090","displayToPublicDate":"2015-05-18T15:30:00","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":"2015-1090","title":"In-reservoir behavior, dam passage, and downstream migration of juvenile Chinook salmon and juvenile steelhead from Detroit Reservoir and Dam to Portland, Oregon, February 2013-February 2014","docAbstract":"

In the second year of 2 years of study, the movements of juvenile spring Chinook salmon (Oncorhynchus tshawytscha) and juvenile summer steelhead (Oncorhynchus mykiss) through Detroit Reservoir, passing Detroit Dam, and migrating downstream to Portland, Oregon, were studied during a 1-year-long period beginning in February 2013. The primary purpose of the study was to provide empirical data to inform decisions about future alternatives for improving downstream passage of salmonids at Detroit Dam. A secondary purpose was to design and assess the performance of a system to detect juvenile salmonids implanted with acoustic transmitters migrating in the Willamette River. Inferences about fish migration were made from detections of juvenile fish of hatchery origin at least 95 millimeters in fork length surgically implanted with an acoustic transmitter and released during the spring (March–May) and fall (September–November) of 2013. Detection sites were placed throughout the reservoir, near the dam, and at two sites in the North Santiam River and at three sites in the Willamette River culminating at Portland, Oregon. We based most inferences on an analysis period up to the 90th percentile of tag life (68–78 days after release, depending on species and season), although a small number of fish passed after that period as late as April 8, 2014. Chinook salmon migrated from the tributaries of release to the reservoir in greater proportion than steelhead, particularly in the fall. The in-reservoir migration behaviors and dam passage of the two species were similar during the spring study, but during the fall study, few steelhead reached the reservoir and none passed the dam within the analysis period. Migrations in the reservoir were directed and non-random, except in the forebay. Depths of fish within 25 meters of the dam were deeper in the day than at night for Chinook salmon and similar in the day and night for steelhead; steelhead generally were at shallower depths than Chinook salmon. The primary factors affecting dam passage rates were seasonal dam operating conditions and diel period. Fish passage rates were much greater during the spring and summer than in the fall and winter, and the difference was attributed to the availability and use of the spillway near the top of the dam during the spring and summer. The flood-control purpose of the reservoir prevented spillway use during much of the fall and winter because of the low forebay elevation. Passage rates at night were greater than in the day during spring and summer (4.2 times) and during the fall and winter (14.9 times). Fish length, dam discharge, and forebay elevation also affected dam passage rates. Travel times from Detroit Dam passage to the downstream sites were shorter during the fall and winter than during the spring and summer, and were less than a median of 8.68 days to Portland. The estimated survival in the 11 kilometers (km) between Detroit Dam and the Minto Dam forebay was lower than in the remaining 241 km to the Portland site. Estimated survival per 100 km in the free-flowing reach from Minto Dam to Portland was 0.675–0.836, depending on species and season, and was similar to other free-flowing rivers in the Western United States. The high probability of fish in the reservoir reaching the dam, the chance for repeated presence near the dam, the fish depths, and the factors known to affect passage rates suggest that a properly designed surface passage route could be a viable downstream passage alternative for juvenile Chinook salmon and steelhead at Detroit Dam.

\n

As part of the evaluations conducted at Detroit Dam, we continued to refine and improve methods for monitoring fish movements in the Willamette River. The goal was to develop stable, cost-effective, long-term monitoring arrays suitable for detection of any Juvenile Salmon Acoustic Telemetry System (JSATS)-tagged fish in the Willamette River. These data then could be used to estimate timing, migration rates, and survival of JSATS-tagged fish from various studies in the Willamette River Basin. The challenge, however, is that acoustic telemetry generally performs poorly in shallow, turbulent water, like that found in the Willamette River. We successfully designed, deployed, and maintained a series of monitoring sites near the Oregon cities of Salem, Wilsonville, and Portland. In the spring, detection probabilities at these sites ranged from 0.900 to 1.000. In the fall, the detection probabilities decreased and ranged from 0.526 to 1.000. The lower detection probabilities, particularly at the Salem site (0.526), were owing to loss of data caused by abnormally high flows as well as the 2013 Federal government shutdown, which prevented us from servicing the equipment. The monitoring sites that we installed seem to be robust and enable the efficient use of acoustic-tagged fish for studies of migration or survival in the Willamette River and similar environments.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151090","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., and Adams, N.S., 2015, In-reservoir behavior, dam passage, and downstream migration of juvenile Chinook salmon and juvenile steelhead from Detroit Reservoir and Dam to Portland, Oregon, February 2013-February 2014: U.S. Geological Survey Open-File Report 2015-1090, ix, 92 p., https://doi.org/10.3133/ofr20151090.","productDescription":"ix, 92 p.","numberOfPages":"105","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-02-01","temporalEnd":"2014-02-28","ipdsId":"IP-060688","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":300475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151090.jpg"},{"id":300473,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1090/"},{"id":300474,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1090/pdf/ofr2015-1090.pdf","text":"Report","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Oregon","otherGeospatial":"Detroit Reservoir, North Santiam River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.44125366210936,\n 44.66865287227321\n ],\n [\n -122.44125366210936,\n 44.76184913125266\n ],\n [\n -122.06909179687501,\n 44.76184913125266\n ],\n [\n -122.06909179687501,\n 44.66865287227321\n ],\n [\n -122.44125366210936,\n 44.66865287227321\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555aff21e4b0a92fa7eac5cc","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":546344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":546345,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70145686,"text":"ofr20151068 - 2015 - California State Waters Map Series — Offshore of San Francisco, California","interactions":[],"lastModifiedDate":"2022-04-18T20:08:37.146111","indexId":"ofr20151068","displayToPublicDate":"2015-05-18T14:15:00","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":"2015-1068","title":"California State Waters Map Series — Offshore of San Francisco, California","docAbstract":"

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.

\n

The Offshore of San Francisco map area is centered on the City of San Francisco and the Golden Gate channel, a waterway that connects the Pacific Ocean to the San Francisco Bay between the Marin Headlands and San Francisco Peninsula. The San Francisco Bay Area is the second-largest urban area on the U.S. West Coast with a combined population of over seven million. The bay supports several major cargo ports and the Port of San Francisco’s Fisherman’s Wharf is a major center for Northern California’s commercial and sport fishing fleets. The coastal part of the map area predominantly consists of high bluffs and vertical sea cliffs shaped by uplift and erosion of the Marin Headlands and San Francisco Peninsula east of the San Andreas and San Gregorio Fault Zones.

\n

The seafloor in the map area extends from the shoreline and western end of the Golden Gate channel to water depths of about 30 to 50 m, except for the San Andreas graben area, where water depths reach 75 m. Sea-level rise, tidal currents, and tectonics have shaped bathymetry in the map area. During the Last Glacial Maximum, Sea level was about 125 m lower than present day and the shoreline was more than 45 km west of San Francisco near the Farallon Islands. At that time, the map area was part of a large alluvial plain connected to a drainage basin that included much of California’s Central Valley. A river system flowed westward through the narrows of the Golden Gate channel and an alluvial valley bounded to the north and south by bedrock highlands, including the present-day Pacifica-Pescadero and Bolinas shelves. Rising seas entered the Golden Gate about 11,000 to 10,000 years ago and subsequent marine flooding led to progressive growth of the San Francisco Bay. Strong tidal currents, accelerating through the relatively narrow Golden Gate, have scoured the bedrock channel to a depth of 113 m. East and west of the channel, tidal currents decelerate and form large fields of sand waves. Offshore of the Marin Headlands, eastward transfer of right-lateral fault slip in a complex of faults northwest of the map area has caused extension and the formation of a sediment basin called the San Andreas graben on the continental shelf. The accommodation space created by extension on the shelf and the proximity to sediment transported to the ocean through San Francisco Bay results in a sand-dominated offshore shelf environment.

\n

Seafloor habitats in the Offshore of San Francisco map area comprise significant sand-dominated sediment habitat with sand wave and ripple bedforms indicative of high wave and current energy. North of the Golden Gate, biological productivity resulting from coastal upwelling supports populations of Sooty Shearwater, Western Gull, Common Murre, Cassin’s Auklet, and many other less populous bird species. In addition, an observable recovery of Humpback and Blue Whales has occurred in the area; both species are dependent on coastal upwelling to provide nutrients. For the first time in 65 years, Pacific Harbor Porpoise returned to San Francisco Bay in 2009. On the coast north of the Golden Gate, the large extent of exposed inner shelf bedrock supports large forests of “bull kelp,” which is well adapted for high wave-energy environments. Common fish species found in the kelp beds and rocky reefs include painted greenling, kelp greenling, lingcod, and several varieties of rockfish.

\n

Circulation over the continental shelf in the Offshore of San Francisco map area is dominated by the southward-flowing California Current, an eastern limb of the North Pacific Gyre that flows from Oregon to Baja California. At its midpoint offshore of central California, the California Current transports subarctic surface waters southeastward, about 150 to 1,300 km from shore. Seasonal northwesterly winds that are, in part, responsible for the California Current, generate coastal upwelling. Ocean temperatures offshore of central California have increased over the past 50 years, driving an ecosystem shift from the productive subarctic regime towards a depopulated subtropical environment.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151068","usgsCitation":"Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H., Erdey, M.D., Golden, N., Hartwell, S., Endris, C.A., Manson, M., Sliter, R.W., Kvitek, R.G., Watt, J.T., Ross, S.L., and Bruns, T.R., 2015, California State Waters Map Series — Offshore of San Francisco, California: U.S. Geological Survey Open-File Report 2015-1068, Pamphlet: iv, 39 p.; 10 Sheets: 52.0 x 36.0 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/ofr20151068.","productDescription":"Pamphlet: iv, 39 p.; 10 Sheets: 52.0 x 36.0 inches or smaller; Metadata; Data Catalog","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052334","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300503,"rank":13,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151068.jpg"},{"id":398998,"rank":16,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_101859.htm"},{"id":300502,"rank":15,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/ds/781/OffshoreSanFrancisco/data_catalog_OffshoreSanFrancisco.html","text":"Data Catalog: Offshore of San Francisco, California (Data Series 781)","description":"Data Catalog: Offshore of San Francisco, California (Data Series 781)","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":300496,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2015/1068/pdf/ofr2015-1068_sheet6.pdf","text":"Sheet 6","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 6","linkHelpText":"Ground-Truth Studies, Offshore of San Francisco Map Area, California By Nadine E. 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We analyzed remote detection data from PIT-tagged Lost River Suckers Deltistes luxatus at four shoreline spawning areas in Upper Klamath Lake, Oregon, to determine whether spawning of this endangered species was affected by low water levels. Our investigation was motivated by the observation that the surface elevation of the lake during the 2010 spawning season was the lowest in 38 years. Irrigation withdrawals in 2009 that were not replenished by subsequent winter-spring inflows caused a reduction in available shoreline spawning habitat in 2010. We compared metrics of skipped spawning, movement among spawning areas, and spawning duration across 8 years (2006-2013) that had contrasting spring water levels. Some aspects of sucker spawning were similar in all years, including few individuals straying from the shoreline areas to spawning locations in lake tributaries and consistent effects of increasing water temperatures on the accumulation of fish at the spawning areas. During the extreme low water year of 2010, 14% fewer female and 8% fewer male suckers joined the shoreline spawning aggregation than in the other years. Both males and females visited fewer spawning areas within Upper Klamath Lake in 2010 than in other years, and the median duration at spawning areas in 2010 was at least 36% shorter for females and 20% shorter for males relative to other years. Given the imperiled status of the species and the declining abundance of the population in Upper Klamath Lake, any reduction in spawning success and egg production could negatively impact recovery efforts. Our results indicate that lake surface elevations above 1,262.3-1,262.5 m would be unlikely to limit the number of spawning fish and overall egg production.

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Center","active":true,"usgs":true}],"preferred":true,"id":547390,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70143172,"text":"ofr20151049 - 2015 - Laboratory evaluation of the pressure water level data logger manufactured by Infinities USA, Inc.: results of pressure and temperature tests","interactions":[],"lastModifiedDate":"2015-05-18T11:07:21","indexId":"ofr20151049","displayToPublicDate":"2015-05-18T11:00:00","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":"2015-1049","title":"Laboratory evaluation of the pressure water level data logger manufactured by Infinities USA, Inc.: results of pressure and temperature tests","docAbstract":"

The Pressure Water Level Data Logger manufactured by Infinities USA, Inc., was evaluated by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility for conformance with the manufacturer’s stated accuracy specifications for measuring pressure throughout the device’s operating temperature range and with the USGS accuracy requirements for water-level measurements. The Pressure Water Level Data Logger (Infinities Logger) is a submersible, sealed, water-level sensing device with an operating pressure range of 0 to 11.5 feet of water over a temperature range of −18 to 49 degrees Celsius. For the pressure range tested, the manufacturer’s accuracy specification of 0.1 percent of full scale pressure equals an accuracy of ±0.138 inch of water. Three Infinities Loggers were evaluated, and the testing procedures followed and results obtained are described in this report. On the basis of the test results, the device is poorly compensated for temperature. For the three Infinities Loggers, the mean pressure differences varied from –4.04 to 5.32 inches of water and were not within the manufacturer’s accuracy specification for pressure measurements made within the temperature-compensated range. The device did not meet the manufacturer’s stated accuracy specifications for pressure within its temperature-compensated operating range of –18 to 49 degrees Celsius or the USGS accuracy requirements of no more than 0.12 inch of water (0.01 foot of water) or 0.10 percent of reading, whichever is larger. The USGS accuracy requirements are routinely examined and reported when instruments are evaluated at the Hydrologic Instrumentation Facility. The estimated combined measurement uncertainty for the pressure cycling test was ±0.139 inch of water, and for temperature, the cycling test was ±0.127 inch of water for the three Infinities Loggers.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151049","usgsCitation":"Carnley, M.V., 2015, Laboratory evaluation of the pressure water level data logger manufactured by Infinities USA, Inc.: results of pressure and temperature tests: U.S. Geological Survey Open-File Report 2015-1049, iv, 14 p., https://doi.org/10.3133/ofr20151049.","productDescription":"iv, 14 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059926","costCenters":[{"id":339,"text":"Hydrologic Instrumentation Facility","active":false,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":300469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151049.jpg"},{"id":300467,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1049/"},{"id":300468,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1049/pdf/ofr2015-1049.pdf","text":"Report","size":"974 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555aff21e4b0a92fa7eac5ce","contributors":{"authors":[{"text":"Carnley, Mark V. mcarnley@usgs.gov","contributorId":2723,"corporation":false,"usgs":true,"family":"Carnley","given":"Mark","email":"mcarnley@usgs.gov","middleInitial":"V.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":542490,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}