{"pageNumber":"1325","pageRowStart":"33100","pageSize":"25","recordCount":165350,"records":[{"id":70056060,"text":"70056060 - 2014 - Lipid and moisture content modeling of amphidromous Dolly Varden using bioelectrical impedance analysis","interactions":[],"lastModifiedDate":"2014-05-06T09:49:15","indexId":"70056060","displayToPublicDate":"2014-05-05T16:06:00","publicationYear":"2014","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":"Lipid and moisture content modeling of amphidromous Dolly Varden using bioelectrical impedance analysis","docAbstract":"The physiological well-being or condition of fish is most commonly estimated from aspects of individual morphology. However, these metrics may be only weakly correlated with nutritional reserves stored as lipid, the primary form of accumulated energy in fish. We constructed and evaluated bioelectrical impedance analysis (BIA) models as an alternative method of assessing condition in amphidromous Dolly Varden Salvelinus malma collected from nearshore estuarine and lotic habitats of the Alaskan Arctic. Data on electrical resistance and reactance were collected from the lateral and ventral surfaces of 192 fish, and whole-body percent lipid and moisture content were determined using standard laboratory methods. Significant inverse relationships between temperature and resistance and reactance prompted the standardization of these data to a constant temperature using corrective equations developed herein. No significant differences in resistance or reactance were detected among spawning and nonspawning females after accounting for covariates, suggesting that electrical pathways do not intersect the gonads. Best-fit BIA models incorporating electrical variables calculated from the lateral and ventral surfaces produced the strongest associations between observed and model-predicted estimates of proximate content. These models explained between 6% and 20% more of the variability in laboratory-derived estimates of proximate content than models developed from single-surface BIA data and 32% more than models containing only length and weight data. While additional research is required to address the potential effects of methodological variation, bioelectrical impedance analysis shows promise as a way to provide high-quality, minimally invasive estimates of Dolly Varden lipid or moisture content in the field with only small increases in handling time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2014.880764","usgsCitation":"Stolarski, J., Margraf, F., Carlson, J., and Sutton, T., 2014, Lipid and moisture content modeling of amphidromous Dolly Varden using bioelectrical impedance analysis: North American Journal of Fisheries Management, v. 34, no. 3, p. 471-481, https://doi.org/10.1080/02755947.2014.880764.","productDescription":"11 p.","startPage":"471","endPage":"481","numberOfPages":"11","ipdsId":"IP-044095","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":286920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286919,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2014.880764"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -145.1541,69.6619 ], [ -145.1541,70.1599 ], [ -141.6989,70.1599 ], [ -141.6989,69.6619 ], [ -145.1541,69.6619 ] ] ] } } ] }","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-04-15","publicationStatus":"PW","scienceBaseUri":"536a0463e4b063fb73c0aa10","contributors":{"authors":[{"text":"Stolarski, J.T.","contributorId":96487,"corporation":false,"usgs":true,"family":"Stolarski","given":"J.T.","affiliations":[],"preferred":false,"id":486315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Margraf, F.J.","contributorId":47738,"corporation":false,"usgs":true,"family":"Margraf","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":486312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, J.G.","contributorId":74681,"corporation":false,"usgs":true,"family":"Carlson","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":486314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutton, T.M.","contributorId":72193,"corporation":false,"usgs":true,"family":"Sutton","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":486313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103370,"text":"ofr20141087 - 2014 - Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California","interactions":[],"lastModifiedDate":"2014-05-05T15:36:05","indexId":"ofr20141087","displayToPublicDate":"2014-05-05T15:11:14","publicationYear":"2014","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":"2014-1087","title":"Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California","docAbstract":"The Central Groundwater Basin (Central Basin) of southern Los Angeles County includes ~280 mi2 of the Los Angeles Coastal Plain and serves as the primary source of water for more than two million residents. In the Santa Fe Springs–Whittier–Norwalk area, located in the northeastern part of the basin, several sources of volatile organic compounds have been identified. The volatile organic compunds are thought to have contributed to a large, commingled contaminant plume in groundwater that extends south-southwest downgradient from the Omega Chemical Corporation Superfund Site across folded geologic strata, known as the Santa Fe Springs Anticline. A multifaceted study—that incorporated a three-dimensional sequence-stratigraphic geologic model, two-dimensional groundwater particle-tracking simulations, and new groundwater chemistry data—was conducted to gain insight into the geologic and hydrologic controls on contaminant migration in the study area and to assess the potential for this shallow groundwater contamination to migrate into producing aquifer zones. Conceptual flow models were developed along a flow-parallel cross section based on the modeled stratigraphic architecture, observed geochemistry, and numerical model simulations that generally agree with observed water levels and contaminant distributions. These models predict that contaminants introduced into groundwater at shallow depths near the Omega Chemical Corporation Superfund Site and along the study cross section will likely migrate downgradient to depths intercepted by public supply wells. These conclusions, however, are subject to limitations and simplifications inherent in the modeling approaches used, as well as a significant scarcity of available geologic and hydrogeochemical information at depth and in the downgradient parts of the study area.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141087","collaboration":"Prepared in cooperation with the Water Replenishment District of Southern California","usgsCitation":"Ponti, D.J., Wagner, B.J., Land, M., and Landon, M.K., 2014, Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California: U.S. Geological Survey Open-File Report 2014-1087, Report: vii, 75 p.; Appendix A: 49 p.; 1 Plate: 28.00 x 19.50 inches; Tables 1,4,7; High resolution figures, https://doi.org/10.3133/ofr20141087.","productDescription":"Report: vii, 75 p.; Appendix A: 49 p.; 1 Plate: 28.00 x 19.50 inches; Tables 1,4,7; High resolution figures","numberOfPages":"84","onlineOnly":"Y","ipdsId":"IP-037058","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141087.jpg"},{"id":286906,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087.pdf"},{"id":286907,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087_appendixA.pdf"},{"id":286905,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1087/"},{"id":286909,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table4.xlsx"},{"id":286908,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table1.xlsx"},{"id":286910,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/ofr2014-1087_table7.xlsx"},{"id":286911,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1087/downloads/figures/"},{"id":286912,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1087/pdf/ofr2014-1087_plate1.pdf"}],"country":"United States","state":"California","county":"Los Angeles County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,33.583 ], [ -118.5,34.25 ], [ -117.66,34.25 ], [ -117.66,33.583 ], [ -118.5,33.583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d0e4b059f7e82882f5","contributors":{"authors":[{"text":"Ponti, Daniel J. 0000-0002-2437-5144 dponti@usgs.gov","orcid":"https://orcid.org/0000-0002-2437-5144","contributorId":1020,"corporation":false,"usgs":true,"family":"Ponti","given":"Daniel","email":"dponti@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":493274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Brian J. bjwagner@usgs.gov","contributorId":427,"corporation":false,"usgs":true,"family":"Wagner","given":"Brian","email":"bjwagner@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":493273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Land, Michael 0000-0001-5141-0307","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":56613,"corporation":false,"usgs":true,"family":"Land","given":"Michael","affiliations":[],"preferred":false,"id":493275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103489,"text":"70103489 - 2014 - Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska","interactions":[],"lastModifiedDate":"2018-06-16T18:00:26","indexId":"70103489","displayToPublicDate":"2014-05-05T14:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska","docAbstract":"Drained thermokarst lake basins (DTLBs) are ubiquitous landforms on Arctic tundra lowland. Their dynamic states are seldom investigated, despite their importance for landscape stability, hydrology, nutrient fluxes, and carbon cycling. Here we report results based on high-resolution Interferometric Synthetic Aperture Radar (InSAR) measurements using space-borne data for a study area located on the North Slope of Alaska near Prudhoe Bay, where we focus on the seasonal thaw settlement within DTLBs, averaged between 2006 and 2010. The majority (14) of the 18 DTLBs in the study area exhibited seasonal thaw settlement of 3–4 cm. However, four of the DTLBs examined exceeded 4 cm of thaw settlement, with one basin experiencing up to 12 cm. Combining the InSAR observations with the in situ active layer thickness measured using ground penetrating radar and mechanical probing, we calculated thaw strain, an index of thaw settlement strength along a transect across the basin that underwent large thaw settlement. We found thaw strains of 10–35% at the basin center, suggesting the seasonal melting of ground ice as a possible mechanism for the large settlement. These findings emphasize the dynamic nature of permafrost landforms, demonstrate the capability of the InSAR technique to remotely monitor surface deformation of individual DTLBs, and illustrate the combination of ground-based and remote sensing observations to estimate thaw strain. Our study highlights the need for better description of the spatial heterogeneity of landscape-scale processes for regional assessment of surface dynamics on Arctic coastal lowlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Cryosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-8-815-2014","usgsCitation":"Liu, L., Schaefer, K., Gusmeroli, A., Grosse, G., Jones, B.M., Zhang, T., Parsekian, A., and Zebker, H., 2014, Seasonal thaw settlement at drained thermokarst lake basins, Arctic Alaska: The Cryosphere, v. 8, p. 815-826, https://doi.org/10.5194/tc-8-815-2014.","productDescription":"12 p.","startPage":"815","endPage":"826","ipdsId":"IP-051116","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-8-815-2014","text":"Publisher Index Page"},{"id":286890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/tc-8-815-2014"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.9132,70.0825 ], [ -149.9132,70.5707 ], [ -147.7664,70.5707 ], [ -147.7664,70.0825 ], [ -149.9132,70.0825 ] ] ] } } ] }","volume":"8","noUsgsAuthors":false,"publicationDate":"2014-05-05","publicationStatus":"PW","scienceBaseUri":"5368a4d3e4b059f7e828830e","contributors":{"authors":[{"text":"Liu, Lin","contributorId":92950,"corporation":false,"usgs":false,"family":"Liu","given":"Lin","email":"","affiliations":[{"id":36342,"text":"Earth System Science Programme, Faculty of Science, Chinese University of Hong Kong, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":493369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Kevin","contributorId":63323,"corporation":false,"usgs":true,"family":"Schaefer","given":"Kevin","affiliations":[],"preferred":false,"id":493367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gusmeroli, Alessio","contributorId":106003,"corporation":false,"usgs":true,"family":"Gusmeroli","given":"Alessio","affiliations":[],"preferred":false,"id":493371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":493370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":493366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Tinjun","contributorId":14742,"corporation":false,"usgs":true,"family":"Zhang","given":"Tinjun","email":"","affiliations":[],"preferred":false,"id":493364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parsekian, Andrew","contributorId":21466,"corporation":false,"usgs":true,"family":"Parsekian","given":"Andrew","affiliations":[],"preferred":false,"id":493365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zebker, Howard","contributorId":88072,"corporation":false,"usgs":true,"family":"Zebker","given":"Howard","affiliations":[],"preferred":false,"id":493368,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70100414,"text":"70100414 - 2014 - Mineral commodity summaries 2014","interactions":[],"lastModifiedDate":"2014-05-05T14:08:57","indexId":"70100414","displayToPublicDate":"2014-05-05T12:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":368,"text":"Mineral Commodity Summaries","active":false,"publicationSubtype":{"id":6}},"title":"Mineral commodity summaries 2014","docAbstract":"

Each chapter of the 2014 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production and resources. The MCS is the earliest comprehensive source of 2013 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses.

\n\n
\n \n

For mineral commodities for which there is a Government stockpile, detailed information concerning the stockpile status is included in the two-page synopsis.

\n\n
\n \n

Abbreviations and units of measure, and definitions of selected terms used in the report, are in Appendix A and Appendix B, respectively. “Appendix C—Reserves and Resources” includes “Part A—Resource/Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is Appendix D.

\n\n
\n \n

The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the MCS 2014 are welcomed.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70100414","collaboration":"This summary is available online, in print and CD-ROM format. Please see the verso of the title page in this summary for ordering information.","usgsCitation":"Mineral commodity summaries 2014; 2014; USGS Unnumbered Series; MINERAL; U.S. Geological Survey","productDescription":"Report: 196 p.; Appendixes A-D","numberOfPages":"199","onlineOnly":"Y","ipdsId":"IP-055293","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":286884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70100414.GIF"},{"id":286875,"type":{"id":15,"text":"Index Page"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/"},{"id":286876,"type":{"id":11,"text":"Document"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2014/mcs2014.pdf"},{"id":286877,"type":{"id":3,"text":"Appendix"},"url":"https://minerals.usgs.gov/minerals/pubs/mcs/2014/mcsapp2014.pdf"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 180.0,-90.0 ], [ 180.0,90.0 ], [ -180.0,90.0 ], [ -180.0,-90.0 ], [ 180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d2e4b059f7e8288309","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535647,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70104357,"text":"70104357 - 2014 - Reservoir controls on the occurrence and production of gas hydrates in nature","interactions":[],"lastModifiedDate":"2014-07-31T10:02:01","indexId":"70104357","displayToPublicDate":"2014-05-05T11:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Reservoir controls on the occurrence and production of gas hydrates in nature","docAbstract":"

Gas hydrates in both arctic permafrost regions and deep marine settings can occur at high concentrations in sand-dominated reservoirs, which have been the focus of gas hydrate exploration and production studies in\nnorthern Alaska and Canada, and offshore in the Gulf of Mexico, off the southeastern coast of Japan, in the Ulleung Basin off the east coast of the Korean Peninsula, and along the eastern margin of India. Production testing and\nmodeling has shown that concentrated gas hydrate occurrences in sand reservoirs are conducive to existing well-based production technologies. The resource potential of gas hydrate accumulations in sand-dominated reservoirs have been assessed for several polar terrestrial basins. In 1995, the U.S. Geological Survey (USGS) assigned an in-place resource of 16.7 trillion cubic meters of gas for hydrates in sand-dominated reservoirs on the Alaska North Slope. In a more recent assessment, the USGS indicated that there are about 2.42 trillion cubic meters of technically recoverable gas resources within concentrated, sand-dominated, gas hydrate accumulations in northern Alaska. Estimates of the amount of in-place gas in the sand dominated gas hydrate accumulations of the Mackenzie Delta Beaufort Sea region of the Canadian arctic range from 1.0 to 10 trillion cubic meters of gas. Another prospective gas hydrate resources are those of moderate-to-high concentrations within sandstone reservoirs in marine environments. In 2008, the Bureau of Ocean Energy Management estimated that the Gulf of Mexico contains about 190 trillion cubic meters of gas in highly concentrated hydrate accumulations within sand reservoirs. In 2008, the Japan Oil, Gas and Metals National Corporation reported on a resource assessment of gas hydrates in which they estimated that the volume of gas within the hydrates of the eastern Nankai Trough at about 1.1 trillion cubic meters, with about half concentrated in sand reservoirs. Because conventional production technologies favor sand-dominated gas hydrate reservoirs, sand reservoirs are considered to be the most viable economic target for gas hydrate production and will be the prime focus of most future gas hydrate exploration and development projects.

","conferenceTitle":"Offshore Technology Conference","conferenceDate":"2014-05-04T00:00:00","conferenceLocation":"Houston, TX","language":"English","publisher":"Offshore Technology Conference","publisherLocation":"Houston, TX","doi":"10.4043/25242-MS","usgsCitation":"Collett, T.S., 2014, Reservoir controls on the occurrence and production of gas hydrates in nature, 12 p., https://doi.org/10.4043/25242-MS.","productDescription":"12 p.","numberOfPages":"12","ipdsId":"IP-053730","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":289374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289373,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4043/25242-MS"}],"noUsgsAuthors":false,"publicationDate":"2014-05-05","publicationStatus":"PW","scienceBaseUri":"53b7b205e4b0388651d918b3","contributors":{"authors":[{"text":"Collett, Timothy Scott 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":90640,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":493719,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70103395,"text":"70103395 - 2014 - Habitat used by juvenile lake sturgeon (Acipenser fulvescens) in the North Channel of the St. Clair River (Michigan, USA)","interactions":[],"lastModifiedDate":"2014-06-19T09:29:15","indexId":"70103395","displayToPublicDate":"2014-05-05T11:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Habitat used by juvenile lake sturgeon (Acipenser fulvescens) in the North Channel of the St. Clair River (Michigan, USA)","docAbstract":"Lake sturgeon (Acipenser fulvescens) occupy the St. Clair River, part of a channel connecting lakes Huron and Erie in the Laurentian Great Lakes. In the North Channel of the St. Clair River, juvenile lake sturgeon (3–7 years old and 582–793 mm in length) were studied to determine movement patterns and habitat usage. Fourteen juveniles were implanted with ultrasonic transmitters and tracked June–August of 2004, 2005 and 2006. Telemetry data, Geographic Information System software, side-scan sonar, video images of the river bottom, scuba diving, and benthic substrate samples were used to determine the extent and composition of habitats they occupied. Juvenile lake sturgeon habitat selection was strongly related to water depth. No fish were found in <6 m of water and over 97% of the relocations were found at depths greater than 9 m. Available water depths exceeding 18 m only represented 3.5% of the available habitat, however 34.9% of the relocations were found at depths exceeding 18 m. Juvenile lake sturgeon did not use most areas in proportion to their availability. Sturgeon avoided clay ledges and shallow areas with silt or soft clay, which comprised approximately 39% of the benthic habitat in the North Channel. A total of 300 out of 351 documented locations were on sand and gravel habitat types mixed with clay. Lake sturgeon > 700 mm in length selected sand and gravel areas mixed with zebra mussels and areas dominated by zebra mussels, while fish < 700 mm used these habitat types in proportion to their availability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.11.002","usgsCitation":"Boase, J., Manny, B.A., Donald, K.A., Kennedy, G.W., Diana, J., Thomas, M.V., and Chiotti, J., 2014, Habitat used by juvenile lake sturgeon (Acipenser fulvescens) in the North Channel of the St. Clair River (Michigan, USA): Journal of Great Lakes Research, v. 40, p. 81-88, https://doi.org/10.1016/j.jglr.2013.11.002.","productDescription":"8 p.","startPage":"81","endPage":"88","numberOfPages":"8","ipdsId":"IP-055169","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":286873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286872,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.11.002"}],"country":"United States","state":"Michigan","otherGeospatial":"St. Clair River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4285,41.9625 ], [ -83.4285,43.0146 ], [ -82.2876,43.0146 ], [ -82.2876,41.9625 ], [ -83.4285,41.9625 ] ] ] } } ] }","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d1e4b059f7e82882fa","contributors":{"authors":[{"text":"Boase, James C.","contributorId":72713,"corporation":false,"usgs":true,"family":"Boase","given":"James C.","affiliations":[],"preferred":false,"id":493311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donald, Katherine A.L.","contributorId":56978,"corporation":false,"usgs":true,"family":"Donald","given":"Katherine","email":"","middleInitial":"A.L.","affiliations":[],"preferred":false,"id":493310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Gregory W. 0000-0003-1686-6960 gkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":3700,"corporation":false,"usgs":true,"family":"Kennedy","given":"Gregory","email":"gkennedy@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diana, James S.","contributorId":52137,"corporation":false,"usgs":true,"family":"Diana","given":"James S.","affiliations":[],"preferred":false,"id":493309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Michael V.","contributorId":47629,"corporation":false,"usgs":true,"family":"Thomas","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":493308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chiotti, Justin A.","contributorId":26629,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin A.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":493307,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70103477,"text":"70103477 - 2014 - A probabilistic method for constructing wave time-series at inshore locations using model scenarios","interactions":[],"lastModifiedDate":"2014-05-05T11:10:07","indexId":"70103477","displayToPublicDate":"2014-05-05T11:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A probabilistic method for constructing wave time-series at inshore locations using model scenarios","docAbstract":"Continuous time-series of wave characteristics (height, period, and direction) are constructed using a base set of model scenarios and simple probabilistic methods. This approach utilizes an archive of computationally intensive, highly spatially resolved numerical wave model output to develop time-series of historical or future wave conditions without performing additional, continuous numerical simulations. The archive of model output contains wave simulations from a set of model scenarios derived from an offshore wave climatology. Time-series of wave height, period, direction, and associated uncertainties are constructed at locations included in the numerical model domain. The confidence limits are derived using statistical variability of oceanographic parameters contained in the wave model scenarios. The method was applied to a region in the northern Gulf of Mexico and assessed using wave observations at 12 m and 30 m water depths. Prediction skill for significant wave height is 0.58 and 0.67 at the 12 m and 30 m locations, respectively, with similar performance for wave period and direction. The skill of this simplified, probabilistic time-series construction method is comparable to existing large-scale, high-fidelity operational wave models but provides higher spatial resolution output at low computational expense. The constructed time-series can be developed to support a variety of applications including climate studies and other situations where a comprehensive survey of wave impacts on the coastal area is of interest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coastal Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2014.03.008","usgsCitation":"Long, J.W., Plant, N.G., Dalyander, P., and Thompson, D.M., 2014, A probabilistic method for constructing wave time-series at inshore locations using model scenarios: Coastal Engineering, v. 89, p. 53-62, https://doi.org/10.1016/j.coastaleng.2014.03.008.","productDescription":"10 p.","startPage":"53","endPage":"62","numberOfPages":"10","ipdsId":"IP-050932","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286859,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coastaleng.2014.03.008"}],"otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.0,29.0 ], [ -89.0,31.0 ], [ -85.0,31.0 ], [ -85.0,29.0 ], [ -89.0,29.0 ] ] ] } } ] }","volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4cfe4b059f7e82882f0","contributors":{"authors":[{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":493350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493348,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70104358,"text":"70104358 - 2014 - Seismic investigation of gas hydrates in the Gulf of Mexico: 2013 multi-component and high-resolution 2D acquisition at GC955 and WR313","interactions":[],"lastModifiedDate":"2017-06-27T14:12:28","indexId":"70104358","displayToPublicDate":"2014-05-05T10:11:33","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Seismic investigation of gas hydrates in the Gulf of Mexico: 2013 multi-component and high-resolution 2D acquisition at GC955 and WR313","docAbstract":"

The U.S. Geological Survey led a seismic acquisition cruise at Green Canyon 955 (GC955) and Walker Ridge 313 (WR313) in the Gulf of Mexico from April 18 to May 3, 2013, acquiring multicomponent and high-resolution 2D seismic data.

\n
\n

GC955 and WR313 are established, world-class study sites where high gas hydrate saturations exist within reservoir-grade sands in this long-established petroleum province. Logging-while-drilling (LWD) data acquired in 2009 by the Gulf of Mexico Gas Hydrates Joint Industry Project provide detailed characterization at the borehole locations, and industry seismic data provide regional- and local-scale structural and stratigraphic characterization. Significant remaining questions regarding lithology and hydrate saturation between and away from the boreholes spurred new geophysical data acquisition at these sites. The goals of our 2013 surveys were to (1) achieve improved imaging and characterization at these sites and (2) refine geophysical methods for gas hydrate characterization in other locations.

\n
\n

In the area of GC955 we deployed 21 ocean-bottom seismometers (OBS) and acquired approximately 400 km of high-resolution 2D streamer seismic data in a grid with line spacing as small as 50 m and along radial lines that provide source offsets up to 10 km and diverse azimuths for the OBS. In the area of WR313 we deployed 25 OBS and acquired approximately 450 km of streamer seismic data in a grid pattern with line spacing as small as 250 m and along radial lines that provide source offsets up to 10 km for the OBS. These new data afford at least five times better resolution of the structural and stratigraphic features of interest at the sites and enable considerably improved characterization of lithology and the gas and gas hydrate systems.

\n
\n

Our recent survey represents a unique application of dedicated geophysical data to the characterization of confirmed reservoir-grade gas hydrate accumulations.

","conferenceTitle":"Offshore Technology Conference","conferenceLocation":"Houston, TX","language":"English","publisher":"Offshore Technology Conference","publisherLocation":"Houston, TX","doi":"10.4043/25318-MS","usgsCitation":"Haines, S.S., Hart, P.E., Shedd, W.W., and Frye, M., 2014, Seismic investigation of gas hydrates in the Gulf of Mexico: 2013 multi-component and high-resolution 2D acquisition at GC955 and WR313, 18 p., https://doi.org/10.4043/25318-MS.","productDescription":"18 p.","numberOfPages":"18","ipdsId":"IP-053494","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":289421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289420,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/https://dx.doi.org/10.4043/25318-MS"}],"country":"Mexico;United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.4 ], [ -81.04,30.4 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2014-05-05","publicationStatus":"PW","scienceBaseUri":"53b67b82e4b014fc094d5473","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":493720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shedd, William W.","contributorId":31310,"corporation":false,"usgs":true,"family":"Shedd","given":"William","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":493722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frye, Matthew","contributorId":48428,"corporation":false,"usgs":true,"family":"Frye","given":"Matthew","affiliations":[],"preferred":false,"id":493723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70078397,"text":"ofr20141019 - 2014 - Seismic profile analysis of sediment deposits in Brownlee and Hells Canyon Reservoirs near Cambridge, Idaho","interactions":[],"lastModifiedDate":"2014-05-05T10:30:23","indexId":"ofr20141019","displayToPublicDate":"2014-05-05T09:51:29","publicationYear":"2014","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":"2014-1019","title":"Seismic profile analysis of sediment deposits in Brownlee and Hells Canyon Reservoirs near Cambridge, Idaho","docAbstract":"The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center, in cooperation with the USGS Idaho Water Science Center and the Idaho Power Company, collected high-resolution seismic reflection data in the Brownlee and Hells Canyon Reservoirs, in March of 2013.These reservoirs are located along the Snake River, and were constructed in 1958 (Brownlee) and 1967 (Hells Canyon). The purpose of the survey was to gain a better understanding of sediment accumulation within the reservoirs since their construction. The chirp system used in the survey was an EdgeTech Geo-Star Full Spectrum Sub-Bottom (FSSB) system coupled with an SB-424 towfish with a frequency range of 4 to 24 kHz. Approximately 325 kilometers of chirp data were collected, with water depths ranging from 0-90 meters. These reservoirs are characterized by very steep rock valley walls, very low flow rates, and minimal sediment input into the system. Sediments deposited in the reservoirs are characterized as highly fluid clays. Since the acoustic signal was not able to penetrate the rock substrate, only the thin veneer of these recent deposits were imaged. Results from the seismic survey indicate that throughout both of the Brownlee and Hells Canyon reservoirs the accumulation of sediments ranged from 0 to 2.5 m, with an average of 0.5 m. Areas of above average sediment accumulation may be related to lower slope, longer flooding history, and proximity to fluvial sources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141019","usgsCitation":"Flocks, J., Kelso, K., Fosness, R., and Welcker, C., 2014, Seismic profile analysis of sediment deposits in Brownlee and Hells Canyon Reservoirs near Cambridge, Idaho: U.S. Geological Survey Open-File Report 2014-1019, v, 14 p., https://doi.org/10.3133/ofr20141019.","productDescription":"v, 14 p.","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-052989","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":286861,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1019/"},{"id":286862,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1019/pdf/ofr2014-1019.pdf"},{"id":286863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141019.jpg"}],"country":"United States","state":"Idaho;Oregon","otherGeospatial":"Brownlee Reservoirs;Hells Canyon Reservoirs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.25,44.33 ], [ -117.25,45.25 ], [ -116.66,45.25 ], [ -116.66,44.33 ], [ -117.25,44.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368a4d3e4b059f7e8288313","contributors":{"authors":[{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":489940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle","contributorId":68017,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","affiliations":[],"preferred":false,"id":489942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fosness, Ryan","contributorId":76229,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","affiliations":[],"preferred":false,"id":489943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welcker, Chris","contributorId":63314,"corporation":false,"usgs":true,"family":"Welcker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":489941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70072615,"text":"70072615 - 2014 - Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments","interactions":[],"lastModifiedDate":"2018-09-18T16:13:34","indexId":"70072615","displayToPublicDate":"2014-05-04T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments","docAbstract":"Waters co-produced with hydrocarbons in the Appalachian Basin are of notably poor quality (concentrations of total dissolved solids (TDS) and total radium up to and exceeding 300,000 mg/L and 10,000 pCi/L, respectively). Since 2008, a rapid increase in Marcellus Shale gas production has led to a commensurate rise in associated wastewater while generation of produced water from conventional oil and gas activities has continued. In this study, we assess whether disposal practices from treatment of produced waters from both shale gas and conventional operations in Pennsylvania could result in the accumulation of associated alkali earth elements. The results from our 5 study sites indicate that there was no increase in concentrations of total Ra (Ra-226) and extractable Ba, Ca, Na, or Sr in fluvial sediments downstream of the discharge outfalls (p > 0.05) of publicly owned treatment works (POTWs) and centralized waste treatment facilities (CWTs). However, the use of road spreading of brines from conventional oil and gas wells for deicing resulted in accumulation of Ra-226 (1.2 ×), and extractable Sr (3.0 ×), Ca (5.3 ×), and Na (6.2 ×) in soil and sediment proximal to roads (p < 0.05). Although this study is an important initial assessment of the impacts of these disposal practices, more work is needed to consider the environmental consequences of produced waters management.","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.12.001","usgsCitation":"Skalak, K.J., Engle, M.A., Rowan, E.L., Jolly, G., Conko, K.M., Benthem, A.J., and Kraemer, T.F., 2014, Surface disposal of produced waters in western and southwestern Pennsylvania: potential for accumulation of alkali-earth elements in sediments: International Journal of Coal Geology, v. 126, p. 162-170, https://doi.org/10.1016/j.coal.2013.12.001.","productDescription":"9 p.","startPage":"162","endPage":"170","ipdsId":"IP-053033","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":286916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281117,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2013.12.001"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.5199,39.7198 ], [ -80.5199,42.2694 ], [ -74.6895,42.2694 ], [ -74.6895,39.7198 ], [ -80.5199,39.7198 ] ] ] } } ] }","volume":"126","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5368b2ffe4b059f7e828838a","contributors":{"authors":[{"text":"Skalak, Katherine J.","contributorId":92174,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowan, Elisabeth L. 0000-0001-5753-6189 erowan@usgs.gov","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":2075,"corporation":false,"usgs":true,"family":"Rowan","given":"Elisabeth","email":"erowan@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolly, Glenn D. gdjolly@usgs.gov","contributorId":5089,"corporation":false,"usgs":true,"family":"Jolly","given":"Glenn D.","email":"gdjolly@usgs.gov","affiliations":[],"preferred":true,"id":488537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conko, Kathryn M. 0000-0001-6361-4921 kmconko@usgs.gov","orcid":"https://orcid.org/0000-0001-6361-4921","contributorId":2930,"corporation":false,"usgs":true,"family":"Conko","given":"Kathryn","email":"kmconko@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":488535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kraemer, Thomas F. tkraemer@usgs.gov","contributorId":3443,"corporation":false,"usgs":true,"family":"Kraemer","given":"Thomas","email":"tkraemer@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":488536,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70104147,"text":"70104147 - 2014 - Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts","interactions":[],"lastModifiedDate":"2018-09-14T16:08:30","indexId":"70104147","displayToPublicDate":"2014-05-03T09:07:32","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts","docAbstract":"Fungicides are moderately hydrophobic and have been detected in water and sediment, particularly in agricultural watersheds, but typically are not included in routine water quality monitoring efforts. This is despite their widespread use and frequent application to combat fungal pathogens. Although the efficacy of these compounds on fungal pathogens is well documented, little is known about their effects on nontarget fungi. This pilot study, a field survey in southwestern Idaho from April to December 2010 on four streams with varying pesticide inputs (two agricultural and two reference sites), was conducted to assess nontarget impact of fungicides on gut fungi, or trichomycetes. Tissues of larval black flies (Diptera: Simuliidae), hosts of gut fungi, were analyzed for pesticide accumulation. Fungicides were detected in hosts from streams within agricultural watersheds but were not detected in hosts from reference streams. Gut fungi from agricultural sites exhibited decreased percent infestation, density and sporulation within the gut, and black fly tissues had elevated pesticide concentrations. Differences observed between the sites demonstrate a potential effect on this symbiotic system. Future research is needed to parse out the details of the complex biotic and abiotic relationships; however, these preliminary results indicate that impacts to nontarget organisms could have far-reaching consequences within aquatic ecosystems.","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12166","usgsCitation":"Wilson, E.R., Smalling, K., Reilly, T.J., Gray, E., Bond, L., Steele, L., Kandel, P., Chamberlin, A., Gause, J., Reynolds, N., Robertson, I., Novak, S., Feris, K., and White, M.M., 2014, Assessing the potential effects of fungicides on nontarget gut fungi (trichomycetes) and their associated larval black fly hosts: Journal of the American Water Resources Association, v. 50, no. 2, p. 420-433, https://doi.org/10.1111/jawr.12166.","productDescription":"14 p.","startPage":"420","endPage":"433","ipdsId":"IP-034388","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":473004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1111/jawr.12166","text":"External Repository"},{"id":287044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287043,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12166"}],"country":"United States","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5371ed67e4b08449547883f7","contributors":{"authors":[{"text":"Wilson, Emma R.","contributorId":58499,"corporation":false,"usgs":true,"family":"Wilson","given":"Emma","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":493553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":493551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Elmer","contributorId":9969,"corporation":false,"usgs":true,"family":"Gray","given":"Elmer","email":"","affiliations":[],"preferred":false,"id":493552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Laura","contributorId":89103,"corporation":false,"usgs":true,"family":"Bond","given":"Laura","affiliations":[],"preferred":false,"id":493561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steele, Lance","contributorId":99052,"corporation":false,"usgs":true,"family":"Steele","given":"Lance","email":"","affiliations":[],"preferred":false,"id":493563,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kandel, Prasanna","contributorId":80196,"corporation":false,"usgs":true,"family":"Kandel","given":"Prasanna","email":"","affiliations":[],"preferred":false,"id":493559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chamberlin, Alison","contributorId":64163,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Alison","email":"","affiliations":[],"preferred":false,"id":493556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gause, Justin","contributorId":64574,"corporation":false,"usgs":true,"family":"Gause","given":"Justin","email":"","affiliations":[],"preferred":false,"id":493557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reynolds, Nicole","contributorId":20260,"corporation":false,"usgs":true,"family":"Reynolds","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":493554,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robertson, Ian","contributorId":71103,"corporation":false,"usgs":true,"family":"Robertson","given":"Ian","affiliations":[],"preferred":false,"id":493558,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Novak, Stephen","contributorId":98639,"corporation":false,"usgs":true,"family":"Novak","given":"Stephen","affiliations":[],"preferred":false,"id":493562,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Feris, Kevin","contributorId":80197,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","affiliations":[],"preferred":false,"id":493560,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"White, Merlin M.","contributorId":104819,"corporation":false,"usgs":true,"family":"White","given":"Merlin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493564,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70103299,"text":"70103299 - 2014 - Particulate organic matter quality influences nitrate retention and denitrification in stream sediments: evidence from a carbon burial experiment","interactions":[],"lastModifiedDate":"2014-05-16T16:35:21","indexId":"70103299","displayToPublicDate":"2014-05-02T15:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Particulate organic matter quality influences nitrate retention and denitrification in stream sediments: evidence from a carbon burial experiment","docAbstract":"Organic carbon supply is linked to nitrogen transformation in ecosystems. However, the role of organic carbon quality in nitrogen processing is not as well understood. We determined how the quality of particulate organic carbon (POC) influenced nitrogen transformation in stream sediments by burying identical quantities of varying quality POC (northern red oak (Quercus rubra) leaves, red maple (Acer rubrum) leaves, red maple wood) in stream mesocosms and measuring the effects on nitrogen retention and denitrification compared to a control of combusted sand. We also determined how POC quality affected the quantity and quality of dissolved organic carbon (DOC) and dissolved oxygen concentration in groundwater. Nitrate and total dissolved nitrogen (TDN) retention were assessed by comparing solute concentrations and fluxes along groundwater flow paths in the mesocosms. Denitrification was measured by in situ changes in N2 concentrations (using MIMS) and by acetylene block incubations. POC quality was measured by C:N and lignin:N ratios and DOC quality was assessed by fluorescence excitation emission matrix spectroscopy. POC quality had strong effects on nitrogen processing. Leaf treatments had much higher nitrate retention, TDN retention and denitrification rates than the wood and control treatments and red maple leaf burial resulted in higher nitrate and TDN retention rates than burial of red oak leaves. Leaf, but not wood, burial drove pore water to severe hypoxia and leaf treatments had higher DOC production and different DOC chemical composition than the wood and control treatments. We think that POC quality affected nitrogen processing in the sediments by influencing the quantity and quality of DOC and redox conditions. Our results suggest that the type of organic carbon inputs can affect the rates of nitrogen transformation in stream ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10533-014-9975-0","usgsCitation":"Stelzer, R.S., Scott, J.T., Bartsch, L., and Parr, T.B., 2014, Particulate organic matter quality influences nitrate retention and denitrification in stream sediments: evidence from a carbon burial experiment: Biogeochemistry, v. 119, no. 1-3, p. 387-402, https://doi.org/10.1007/s10533-014-9975-0.","productDescription":"16 p.","startPage":"387","endPage":"402","numberOfPages":"16","ipdsId":"IP-052311","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":286856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286855,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10533-014-9975-0"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.84542,44.243546 ], [ -89.84542,44.685869 ], [ -89.223035,44.685869 ], [ -89.223035,44.243546 ], [ -89.84542,44.243546 ] ] ] } } ] }","volume":"119","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2014-03-23","publicationStatus":"PW","scienceBaseUri":"53659160e4b05b5c4c6db0fe","contributors":{"authors":[{"text":"Stelzer, Robert S.","contributorId":56538,"corporation":false,"usgs":false,"family":"Stelzer","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":493251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, J. Thad","contributorId":91406,"corporation":false,"usgs":false,"family":"Scott","given":"J.","email":"","middleInitial":"Thad","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":493253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartsch, Lynn 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":3342,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parr, Thomas B.","contributorId":68222,"corporation":false,"usgs":true,"family":"Parr","given":"Thomas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":493252,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70103392,"text":"70103392 - 2014 - Passive acoustic monitoring to detect spawning in large-bodied catostomids","interactions":[],"lastModifiedDate":"2014-05-16T16:32:49","indexId":"70103392","displayToPublicDate":"2014-05-02T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Passive acoustic monitoring to detect spawning in large-bodied catostomids","docAbstract":"Documenting timing, locations, and intensity of spawning can provide valuable information for conservation and management of imperiled fishes. However, deep, turbid or turbulent water, or occurrence of spawning at night, can severely limit direct observations. We have developed and tested the use of passive acoustics to detect distinctive acoustic signatures associated with spawning events of two large-bodied catostomid species (River Redhorse Moxostoma carinatum and Robust Redhorse Moxostoma robustum) in river systems in north Georgia. We deployed a hydrophone with a recording unit at four different locations on four different dates when we could both record and observe spawning activity. Recordings captured 494 spawning events that we acoustically characterized using dominant frequency, 95% frequency, relative power, and duration. We similarly characterized 46 randomly selected ambient river noises. Dominant frequency did not differ between redhorse species and ranged from 172.3 to 14,987.1 Hz. Duration of spawning events ranged from 0.65 to 11.07 s, River Redhorse having longer durations than Robust Redhorse. Observed spawning events had significantly higher dominant and 95% frequencies than ambient river noises. We additionally tested software designed to automate acoustic detection. The automated detection configurations correctly identified 80–82% of known spawning events, and falsely indentified spawns 6–7% of the time when none occurred. These rates were combined over all recordings; rates were more variable among individual recordings. Longer spawning events were more likely to be detected. Combined with sufficient visual observations to ascertain species identities and to estimate detection error rates, passive acoustic recording provides a useful tool to study spawning frequency of large-bodied fishes that displace gravel during egg deposition, including several species of imperiled catostomids.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880737","usgsCitation":"Straight, C.A., Freeman, B.J., and Freeman, M., 2014, Passive acoustic monitoring to detect spawning in large-bodied catostomids: Transactions of the American Fisheries Society, v. 143, no. 3, p. 595-605, https://doi.org/10.1080/00028487.2014.880737.","productDescription":"11 p.","startPage":"595","endPage":"605","numberOfPages":"11","ipdsId":"IP-052593","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":286853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286838,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2014.880737"}],"country":"United States","state":"Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.6052,33.0103 ], [ -85.6052,35.4136 ], [ -81.5769,35.4136 ], [ -81.5769,33.0103 ], [ -85.6052,33.0103 ] ] ] } } ] }","volume":"143","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-04-14","publicationStatus":"PW","scienceBaseUri":"53659161e4b05b5c4c6db103","contributors":{"authors":[{"text":"Straight, Carrie A.","contributorId":31247,"corporation":false,"usgs":false,"family":"Straight","given":"Carrie","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":493286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":493287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493285,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70103309,"text":"70103309 - 2014 - Selection of anthropogenic features and vegetation characteristics by nesting Common Ravens in the sagebrush ecosystem","interactions":[],"lastModifiedDate":"2014-05-02T14:58:35","indexId":"70103309","displayToPublicDate":"2014-05-02T14:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Selection of anthropogenic features and vegetation characteristics by nesting Common Ravens in the sagebrush ecosystem","docAbstract":"Common Raven (Corvus corax) numbers and distribution are increasing throughout the sagebrush steppe, influencing avian communities in complex ways. Anthropogenic structures are thought to increase raven populations by providing food and nesting subsidies, which is cause for concern because ravens are important nest predators of sensitive species, including Greater Sage-Grouse (Centrocercus urophasianus). During 2007–2009, we located raven nests in southeastern Idaho and conducted a resource selection analysis. We measured variables at multiple spatial scales for 72 unique nest locations, including landscape-level vegetation characteristics and anthropogenic structures. Using generalized linear mixed models and an information-theoretic approach, we found a 31% decrease in the odds of nesting by ravens for every 1 km increase in distance away from a transmission line. Furthermore, a 100-m increase in distance away from the edge of two different land cover types decreased the odds of nesting by 20%, and an increase in the amount of edge by 1 km within an area of 102.1 ha centered on the nest increased the odds of nesting by 49%. A post hoc analysis revealed that ravens were most likely to nest near edges of adjoining big sagebrush (Artemisia tridentata) and land cover types that were associated with direct human disturbance or fire. These findings contribute to our understanding of raven expansion into rural environments and could be used to make better-informed conservation decisions, especially in the face of increasing renewable energy development.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-13-115-R2.1","usgsCitation":"Howe, K., Coates, P.S., and Delehanty, D.J., 2014, Selection of anthropogenic features and vegetation characteristics by nesting Common Ravens in the sagebrush ecosystem: The Condor, v. 116, no. 1, p. 35-49, https://doi.org/10.1650/CONDOR-13-115-R2.1.","productDescription":"15 p.","startPage":"35","endPage":"49","numberOfPages":"15","ipdsId":"IP-042615","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-13-115-r2.1","text":"Publisher Index Page"},{"id":286850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286825,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-115-R2.1"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.135529,43.424288 ], [ -113.135529,43.887645 ], [ -112.601072,43.887645 ], [ -112.601072,43.424288 ], [ -113.135529,43.424288 ] ] ] } } ] }","volume":"116","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5365918ae4b05b5c4c6db12e","contributors":{"authors":[{"text":"Howe, Kristy B.","contributorId":59354,"corporation":false,"usgs":true,"family":"Howe","given":"Kristy B.","affiliations":[],"preferred":false,"id":493255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":493254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delehanty, David J.","contributorId":80811,"corporation":false,"usgs":true,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171516,"text":"70171516 - 2014 - A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","interactions":[],"lastModifiedDate":"2016-06-02T14:19:02","indexId":"70171516","displayToPublicDate":"2014-05-01T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","docAbstract":"

An examination of the relation between runoff rate, R, and concentration, C, of twelve major constituents in four small watersheds in eastern Puerto Rico demonstrates a consistent pattern of responses. For solutes that are not substantially bioactive (alkalinity, silica, calcium, magnesium, sodium, and chloride), the log(R)–log(C) relation is almost linear and can be described as a weighted average of two sources, bedrock weathering and atmospheric deposition. The slope of the relation for each solute depends on the respective source contributions to the total river load. If a solute were strictly derived from bedrock weathering, the slope would be −0.3 to −0.4, whereas if strictly derived from atmospheric deposition, the slope would be approximately −0.1. The bioactive constituents (dissolved organic carbon, nitrate, sulfate, and potassium), which are recycled by plants and concentrated in shallow soil, demonstrate nearly flat or downward-arched log(R)–log(C) relations. The peak of the arch represents a transition from dominantly soil-matrix flow to near-surface macropore flow, and finally to overland flow. At highest observed R (80 to >90 mm/h), essentially all reactive surfaces have become wetted, and the input rate of C becomes independent of R (log(R)–log(C) slope of –1). The highest R are tenfold greater than any previous study. Slight clockwise hysteresis for many solutes in the rivers with riparian zones or substantial hyporheic flows indicates that these settings may act as mixing end-members. Particulate constituents (suspended sediment and particulate organic carbon) show slight clockwise hysteresis, indicating mobilization of stored sediment during rising stage.

","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10498-013-9216-5","usgsCitation":"Stallard, R.F., and Murphy, S.F., 2014, A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations: Aquatic Geochemistry, v. 20, no. 2, p. 115-139, https://doi.org/10.1007/s10498-013-9216-5.","productDescription":"25 p.","startPage":"115","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044740","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-06","publicationStatus":"PW","scienceBaseUri":"575158ace4b053f0edd03c19","contributors":{"authors":[{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171514,"text":"70171514 - 2014 - Sands at Gusev Crater, Mars","interactions":[],"lastModifiedDate":"2018-11-14T08:37:37","indexId":"70171514","displayToPublicDate":"2014-05-01T15:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Sands at Gusev Crater, Mars","docAbstract":"

Processes, environments, and the energy associated with the transport and deposition of sand at Gusev Crater are characterized at the microscopic scale through the comparison of statistical moments for particle size and shape distributions. Bivariate and factor analyses define distinct textural groups at 51 sites along the traverse completed by the Spirit rover as it crossed the plains and went into the Columbia Hills. Fine-to-medium sand is ubiquitous in ripples and wind drifts. Most distributions show excess fine material, consistent with a predominance of wind erosion over the last 3.8 billion years. Negative skewness at West Valley is explained by the removal of fine sand during active erosion, or alternatively, by excess accumulation of coarse sand from a local source. The coarse to very coarse sand particles of ripple armors in the basaltic plains have a unique combination of size and shape. Their distribution display significant changes in their statistical moments within the ~400 m that separate the Columbia Memorial Station from Bonneville Crater. Results are consistent with aeolian and/or impact deposition, while the elongated and rounded shape of the grains forming the ripples, as well as their direction of origin, could point to Ma'adim Vallis as a possible source. For smaller particles on the traverse, our findings confirm that aeolian processes have dominated over impact and other processes to produce sands with the observed size and shape patterns across a spectrum of geologic (e.g., ripples and plains soils) and aerographic settings (e.g., wind shadows).

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1002/2013JE004535","usgsCitation":"Cabrol, N.A., Herkenhoff, K.E., Knoll, A.H., Farmer, J.D., Arvidson, R.E., Grin, E., Li, R., Fenton, L., Cohen, B., Bell, J., and Yingst, R.A., 2014, Sands at Gusev Crater, Mars: Journal of Geophysical Research E: Planets, v. 119, no. 5, p. 941-967, https://doi.org/10.1002/2013JE004535.","productDescription":"27 p.","startPage":"941","endPage":"967","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051572","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013je004535","text":"Publisher Index Page"},{"id":322111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"119","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-05","publicationStatus":"PW","scienceBaseUri":"575158b9e4b053f0edd03c8a","contributors":{"authors":[{"text":"Cabrol, Nathalie A.","contributorId":51382,"corporation":false,"usgs":true,"family":"Cabrol","given":"Nathalie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":631557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knoll, Andrew H.","contributorId":167647,"corporation":false,"usgs":false,"family":"Knoll","given":"Andrew","email":"","middleInitial":"H.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":631706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farmer, Jack D.","contributorId":52272,"corporation":false,"usgs":true,"family":"Farmer","given":"Jack","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":631707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":631708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grin, E.A.","contributorId":53926,"corporation":false,"usgs":true,"family":"Grin","given":"E.A.","affiliations":[],"preferred":false,"id":631709,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Ron","contributorId":76870,"corporation":false,"usgs":true,"family":"Li","given":"Ron","affiliations":[],"preferred":false,"id":631710,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fenton, Lori","contributorId":51641,"corporation":false,"usgs":true,"family":"Fenton","given":"Lori","affiliations":[],"preferred":false,"id":631711,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cohen, B.","contributorId":41954,"corporation":false,"usgs":true,"family":"Cohen","given":"B.","affiliations":[],"preferred":false,"id":631712,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":631713,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yingst, R. Aileen","contributorId":52827,"corporation":false,"usgs":true,"family":"Yingst","given":"R.","email":"","middleInitial":"Aileen","affiliations":[],"preferred":false,"id":631714,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70057889,"text":"70057889 - 2014 - Reducing bias in survival under non-random temporary emigration","interactions":[],"lastModifiedDate":"2014-06-27T13:46:08","indexId":"70057889","displayToPublicDate":"2014-05-01T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Reducing bias in survival under non-random temporary emigration","docAbstract":"Despite intensive monitoring, temporary emigration from the sampling area can induce bias severe enough for managers to discard life-history parameter estimates toward the terminus of the times series (terminal bias). Under random temporary emigration unbiased parameters can be estimated with CJS models. However, unmodeled Markovian temporary emigration causes bias in parameter estimates and an unobservable state is required to model this type of emigration. The robust design is most flexible when modeling temporary emigration, and partial solutions to mitigate bias have been identified, nonetheless there are conditions were terminal bias prevails. Long-lived species with high adult survival and highly variable non-random temporary emigration present terminal bias in survival estimates, despite being modeled with the robust design and suggested constraints. Because this bias is due to uncertainty about the fate of individuals that are undetected toward the end of the time series, solutions should involve using additional information on survival status or location of these individuals at that time. Using simulation, we evaluated the performance of models that jointly analyze robust design data and an additional source of ancillary data (predictive covariate on temporary emigration, telemetry, dead recovery, or auxiliary resightings) in reducing terminal bias in survival estimates. The auxiliary resighting and predictive covariate models reduced terminal bias the most. Additional telemetry data was effective at reducing terminal bias only when individuals were tracked for a minimum of two years. High adult survival of long-lived species made the joint model with recovery data ineffective at reducing terminal bias because of small-sample bias. The naïve constraint model (last and penultimate temporary emigration parameters made equal), was the least efficient, though still able to reduce terminal bias when compared to an unconstrained model. Joint analysis of several sources of data improved parameter estimates and reduced terminal bias. Efforts to incorporate or acquire such data should be considered by researchers and wildlife managers, especially in the years leading up to status assessments of species of interest. Simulation modeling is a very cost effective method to explore the potential impacts of using different sources of data to produce high quality demographic data to inform management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0558.1","usgsCitation":"Peñaloza, C., Kendall, W.L., and Langtimm, C.A., 2014, Reducing bias in survival under non-random temporary emigration: Ecological Applications, v. 24, no. 5, p. 1155-1166, https://doi.org/10.1890/13-0558.1.","productDescription":"12 p.","startPage":"1155","endPage":"1166","numberOfPages":"12","ipdsId":"IP-044788","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":287158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287157,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0558.1"}],"volume":"24","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53749074e4b0870f4d23cfe2","contributors":{"authors":[{"text":"Peñaloza, Claudia L.","contributorId":107201,"corporation":false,"usgs":true,"family":"Peñaloza","given":"Claudia L.","affiliations":[],"preferred":false,"id":486921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":486919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langtimm, Catherine Ann 0000-0001-8499-5743","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":33223,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":486920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70108159,"text":"70108159 - 2014 - Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","interactions":[],"lastModifiedDate":"2014-06-09T15:11:37","indexId":"70108159","displayToPublicDate":"2014-05-01T14:57:23","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","docAbstract":"In greater Augusta of central Maine, 53 out of 1093 (4.8%) private bedrock well water samples from 1534 km2 contained [U] >30 μg/L, the U.S. Environmental Protection Agency’s (EPA) Maximum Contaminant Level (MCL) for drinking water; and 226 out of 786 (29%) samples from 1135 km2 showed [Rn] >4,000 pCi/L (148 Bq/L), the U.S. EPA’s Alternative MCL. Groundwater pH, calcite dissolution and redox condition are factors controlling the distribution of groundwater U but not Rn due to their divergent chemical and hydrological properties. Groundwater U is associated with incompatible elements (S, As, Mo, F, and Cs) in water samples within granitic intrusions. Elevated [U] and [Rn] are located within 5–10 km distance of granitic intrusions but do not show correlations with metamorphism at intermediate scales (100−101 km). This spatial association is confirmed by a high-density sampling (n = 331, 5–40 samples per km2) at local scales (≤10–1 km) and the statewide sampling (n = 5857, 1 sample per 16 km2) at regional scales (102–103 km). Wells located within 5 km of granitic intrusions are at risk of containing high levels of [U] and [Rn]. Approximately 48 800–63 900 and 324 000 people in Maine are estimated at risk of exposure to U (>30 μg/L) and Rn (>4000 pCi/L) in well water, respectively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es405020k","usgsCitation":"Yang, Q., Smitherman, P., Hess, C., Culbertson, C.W., Marvinney, R., and Zheng, Y., 2014, Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales: Environmental Science & Technology, v. 48, no. 8, p. 4298-4306, https://doi.org/10.1021/es405020k.","productDescription":"9 p.","startPage":"4298","endPage":"4306","numberOfPages":"9","ipdsId":"IP-052124","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":473008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es405020k","text":"Publisher Index Page"},{"id":288184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es405020k"}],"country":"United States","state":"Maine","city":"Augusta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.08,42.97 ], [ -71.08,47.46 ], [ -66.95,47.46 ], [ -66.95,42.97 ], [ -71.08,42.97 ] ] ] } } ] }","volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-03-28","publicationStatus":"PW","scienceBaseUri":"5396d776e4b0f7580bc0a92a","contributors":{"authors":[{"text":"Yang, Qiang","contributorId":27362,"corporation":false,"usgs":true,"family":"Yang","given":"Qiang","affiliations":[],"preferred":false,"id":493972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smitherman, Paul","contributorId":56976,"corporation":false,"usgs":true,"family":"Smitherman","given":"Paul","email":"","affiliations":[],"preferred":false,"id":493974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, C.T.","contributorId":39556,"corporation":false,"usgs":true,"family":"Hess","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":493973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvinney, Robert G.","contributorId":23070,"corporation":false,"usgs":true,"family":"Marvinney","given":"Robert G.","affiliations":[],"preferred":false,"id":493971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":493975,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70103367,"text":"70103367 - 2014 - Amphibians in the climate vise: loss and restoration of resilience of montane wetland ecosystems in the western US","interactions":[],"lastModifiedDate":"2014-05-02T14:54:31","indexId":"70103367","displayToPublicDate":"2014-05-01T14:49:14","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Amphibians in the climate vise: loss and restoration of resilience of montane wetland ecosystems in the western US","docAbstract":"Wetlands in the remote mountains of the western US have undergone two massive ecological “experiments” spanning the 20th century. Beginning in the late 1800s and expanding after World War II, fish and wildlife managers intentionally introduced millions of predatory trout (primarily Oncorhynchus spp) into fishless mountain ponds and lakes across the western states. These new top predators, which now occupy 95% of large mountain lakes, have limited the habitat distributions of native frogs, salamanders, and wetland invertebrates to smaller, more ephemeral ponds where trout do not survive. Now a second “experiment” – anthropogenic climate change – threatens to eliminate many of these ephemeral habitats and shorten wetland hydroperiods. Caught between climate-induced habitat loss and predation from introduced fish, native mountain lake fauna of the western US – especially amphibians – are at risk of extirpation. Targeted fish removals, guided by models of how wetlands will change under future climate scenarios, provide innovative strategies for restoring resilience of wetland ecosystems to climate change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Frontiers in Ecology and the Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/130145","usgsCitation":"Ryan, M., Palen, W.J., Adams, M.J., and Rochefort, R.M., 2014, Amphibians in the climate vise: loss and restoration of resilience of montane wetland ecosystems in the western US: Frontiers in Ecology and the Environment, v. 12, p. 232-240, https://doi.org/10.1890/130145.","productDescription":"9 p.","startPage":"232","endPage":"240","ipdsId":"IP-050609","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":286849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286829,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/130145"}],"country":"United States","otherGeospatial":"Western United States","volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53659150e4b05b5c4c6daff1","contributors":{"authors":[{"text":"Ryan, Maureen E.","contributorId":45628,"corporation":false,"usgs":true,"family":"Ryan","given":"Maureen E.","affiliations":[],"preferred":false,"id":493269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palen, Wendy J.","contributorId":69513,"corporation":false,"usgs":true,"family":"Palen","given":"Wendy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":493268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rochefort, Regina M.","contributorId":91459,"corporation":false,"usgs":true,"family":"Rochefort","given":"Regina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493271,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70112938,"text":"70112938 - 2014 - BatTool: an R package with GUI for assessing the effect of White-nose syndrome and other take events on Myotis spp. of bats","interactions":[],"lastModifiedDate":"2014-06-18T14:17:51","indexId":"70112938","displayToPublicDate":"2014-05-01T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3433,"text":"Source Code for Biology and Medicine","active":true,"publicationSubtype":{"id":10}},"title":"BatTool: an R package with GUI for assessing the effect of White-nose syndrome and other take events on Myotis spp. of bats","docAbstract":"

Background:

\n

Myotis species of bats such as the Indiana Bat and Little Brown Bat are facing population declines because of White-nose syndrome (WNS). These species also face threats from anthropogenic activities such as wind energy development. Population models may be used to provide insights into threats facing these species. We developed a population model, BatTool, as an R package to help decision makers and natural resource managers examine factors influencing the dynamics of these species. The R package includes two components: 1) a deterministic and stochastic model that are accessible from the command line and 2) a graphical user interface (GUI).

\n
\n

Results:

\n

BatTool is an R package allowing natural resource managers and decision makers to understand Myotis spp. population dynamics. Through the use of a GUI, the model allows users to understand how WNS and other take events may affect the population. The results are saved both graphically and as data files. Additionally, R-savvy users may access the population functions through the command line and reuse the code as part of future research. This R package could also be used as part of a population dynamics or wildlife management course.

\n
\n

Conclusions:

\n

BatTool provides access to a Myotis spp. population model. This tool can help natural resource managers and decision makers with the Endangered Species Act deliberations for these species and with issuing take permits as part of regulatory decision making. The tool is available online as part of this publication.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Source Code for Biology and Medicine","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioMed Central","doi":"10.1186/1751-0473-9-9","usgsCitation":"Erickson, R.A., Thogmartin, W.E., and Szymanski, J.A., 2014, BatTool: an R package with GUI for assessing the effect of White-nose syndrome and other take events on Myotis spp. of bats: Source Code for Biology and Medicine, v. 9, no. 9, 10 p., https://doi.org/10.1186/1751-0473-9-9.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"Y","ipdsId":"IP-055439","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":473009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1751-0473-9-9","text":"Publisher Index Page"},{"id":288829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288820,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1751-0473-9-9"}],"volume":"9","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-05-06","publicationStatus":"PW","scienceBaseUri":"53ae7644e4b0abf75cf2beef","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":494958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":494957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szymanski, Jennifer A.","contributorId":51593,"corporation":false,"usgs":true,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":494959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70049028,"text":"fs20133108 - 2014 - Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","interactions":[],"lastModifiedDate":"2014-05-01T14:33:56","indexId":"fs20133108","displayToPublicDate":"2014-05-01T14:14:26","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3108","title":"Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","docAbstract":"

Flood-frequency analysis provides information about the magnitude and frequency of flood discharges based on records of annual maximum instantaneous peak discharges collected at streamgages. The information is essential for defining flood-hazard areas, for managing floodplains, and for designing bridges, culverts, dams, levees, and other flood-control structures.

\n\n
\n\n

Bulletin 17B (B17B) of the Interagency Advisory Committee on Water Data (IACWD; 1982) codifies the standard methodology for conducting flood-frequency studies in the United States. B17B specifies that annual peak-flow data are to be fit to a log-Pearson Type III distribution. Specific methods are also prescribed for improving skew estimates using regional skew information, tests for high and low outliers, adjustments for low outliers and zero flows, and procedures for incorporating historical flood information.

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\n\n

The authors of B17B identified various needs for methodological improvement and recommended additional study. In response to these needs, the Advisory Committee on Water Information (ACWI, successor to IACWD; http://acwi.gov/, Subcommittee on Hydrology (SOH), Hydrologic Frequency Analysis Work Group (HFAWG), has recommended modest changes to B17B. These changes include adoption of a generalized method-of-moments estimator denoted the Expected Moments Algorithm (EMA) (Cohn and others, 1997) and a generalized version of the Grubbs-Beck test for low outliers (Cohn and others, 2013). The SOH requested that the USGS implement these changes in a user-friendly, publicly accessible program.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133108","usgsCitation":"Veilleux, A.G., Cohn, T., Flynn, K.M., Mason, and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013-3108, 2 p., https://doi.org/10.3133/fs20133108.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-049306","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":286834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133108.jpg"},{"id":286832,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3108/"},{"id":286833,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3108/pdf/fs2013-3108.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53635ecfe4b08180b01424fa","contributors":{"authors":[{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Kathleen M.","contributorId":43756,"corporation":false,"usgs":true,"family":"Flynn","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":486047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Paul R.","contributorId":58728,"corporation":false,"usgs":true,"family":"Hummel","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048513,"text":"70048513 - 2014 - Effect of sulfate and carbonate minerals on particle-size distributions in arid soils","interactions":[],"lastModifiedDate":"2014-06-19T09:41:10","indexId":"70048513","displayToPublicDate":"2014-05-01T14:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of sulfate and carbonate minerals on particle-size distributions in arid soils","docAbstract":"Arid soils pose unique problems during measurement and interpretation of particle-size distributions (PSDs) because they often contain high concentrations of water-soluble salts. This study investigates the effects of sulfate and carbonate minerals on grain-size analysis by comparing analyses in water, in which the minerals dissolve, and isopropanol (IPA), in which they do not. The presence of gypsum, in particular, substantially affects particle-size analysis once the concentration of gypsum in the sample exceeds the mineral’s solubility threshold. For smaller concentrations particle-size results are unaffected. This is because at concentrations above the solubility threshold fine particles cement together or bind to coarser particles or aggregates already present in the sample, or soluble mineral coatings enlarge grains. Formation of discrete crystallites exacerbates the problem. When soluble minerals are dissolved the original, insoluble grains will become partly or entirely liberated. Thus, removing soluble minerals will result in an increase in measured fine particles. Distortion of particle-size analysis is larger for sulfate minerals than for carbonate minerals because of the much higher solubility in water of the former. When possible, arid soils should be analyzed using a liquid in which the mineral grains do not dissolve, such as IPA, because the results will more accurately reflect the PSD under most arid soil field conditions. This is especially important when interpreting soil and environmental processes affected by particle size.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Science Society of America Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/sssaj2013.11.0499","usgsCitation":"Goossens, D., Buck, B.J., Teng, Y., Robins, C., and Goldstein, H., 2014, Effect of sulfate and carbonate minerals on particle-size distributions in arid soils: Soil Science Society of America Journal, v. 78, no. 3, p. 881-893, https://doi.org/10.2136/sssaj2013.11.0499.","productDescription":"13 p.","startPage":"881","endPage":"893","numberOfPages":"13","ipdsId":"IP-036060","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":287953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2013.11.0499"}],"volume":"78","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-06-10","publicationStatus":"PW","scienceBaseUri":"53ae7695e4b0abf75cf2bfb2","contributors":{"authors":[{"text":"Goossens, Dirk","contributorId":23419,"corporation":false,"usgs":true,"family":"Goossens","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":484900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buck, Brenda J.","contributorId":85864,"corporation":false,"usgs":true,"family":"Buck","given":"Brenda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Yuazxin","contributorId":107615,"corporation":false,"usgs":true,"family":"Teng","given":"Yuazxin","email":"","affiliations":[],"preferred":false,"id":484903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robins, Colin","contributorId":12369,"corporation":false,"usgs":true,"family":"Robins","given":"Colin","email":"","affiliations":[],"preferred":false,"id":484899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":484901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70126738,"text":"70126738 - 2014 - Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery","interactions":[],"lastModifiedDate":"2017-06-30T13:53:36","indexId":"70126738","displayToPublicDate":"2014-05-01T14:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery","docAbstract":"

The Enbridge Line 6B pipeline release of diluted bitumen into the Kalamazoo River downstream of Marshall, MI in July 2010 is one of the largest freshwater oil spills in North American history. The unprecedented scale of impact and massive quantity of oil released required the development and implementation of new approaches for detection and recovery. At the onset of cleanup, conventional recovery techniques were employed for the initially floating oil and were successful. However, volatilization of the lighter diluent, along with mixing of the oil with sediment during flooded, turbulent river conditions caused the oil to sink and collect in natural deposition areas in the river. For more than three years after the spill, recovery of submerged oil has remained the predominant operational focus of the response.

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The recovery complexities for submerged oil mixed with sediment in depositional areas and long-term oil sheening along approximately 38 miles of the Kalamazoo River led to the development of a multiple-lines-of-evidence approach comprising six major components: geomorphic mapping, field assessments of submerged oil (poling), systematic tracking and mapping of oil sheen, hydrodynamic and sediment transport modeling, forensic oil chemistry, and net environmental benefit analysis. The Federal On-Scene Coordinator (FOSC) considered this information in determining the appropriate course of action for each impacted segment of the river.

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New sources of heavy crude oils like diluted bitumen and increasing transportation of those oils require changes in the way emergency personnel respond to oil spills in the Great Lakes and other freshwater ecosystems. Strategies to recover heavy oils must consider that the oils may suspend or sink in the water column, mix with fine-grained sediment, and accumulate in depositional areas. Early understanding of the potential fate and behavior of diluted bitumen spills when combined with timely, strong conventional recovery methods can significantly influence response success.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Oil Spill Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Oil Spill Conference","publisherLocation":"Washington D.C.","doi":"10.7901/2169-3358-2014.1.434","usgsCitation":"Dollhopf, R.H., Fitzpatrick, F.A., Kimble, J.W., Capone, D.M., Graan, T.P., Zelt, R.B., and Johnson, R., 2014, Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery, in International Oil Spill Conference Proceedings, v. 2014, no. 1, p. 434-448, https://doi.org/10.7901/2169-3358-2014.1.434.","productDescription":"15 p.","startPage":"434","endPage":"448","numberOfPages":"15","ipdsId":"IP-053313","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":294549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294548,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7901/2169-3358-2014.1.434"}],"country":"United States","state":"Michigan","otherGeospatial":"Kalamazoo River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.663515,42.215564 ], [ -85.663515,42.406311 ], [ -84.915548,42.406311 ], [ -84.915548,42.215564 ], [ -85.663515,42.215564 ] ] ] } } ] }","volume":"2014","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252ec9e4b0e641df8a7110","contributors":{"authors":[{"text":"Dollhopf, Ralph H.","contributorId":31323,"corporation":false,"usgs":true,"family":"Dollhopf","given":"Ralph","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":502146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimble, Jeffrey W.","contributorId":58961,"corporation":false,"usgs":true,"family":"Kimble","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":502147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capone, Daniel M.","contributorId":64167,"corporation":false,"usgs":true,"family":"Capone","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":502148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graan, Thomas P.","contributorId":97021,"corporation":false,"usgs":true,"family":"Graan","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":502149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zelt, Ronald B. 0000-0001-9024-855X rbzelt@usgs.gov","orcid":"https://orcid.org/0000-0001-9024-855X","contributorId":300,"corporation":false,"usgs":true,"family":"Zelt","given":"Ronald","email":"rbzelt@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Rex","contributorId":104374,"corporation":false,"usgs":true,"family":"Johnson","given":"Rex","affiliations":[],"preferred":false,"id":502150,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70098087,"text":"ofr20131293 - 2014 - Geodesy- and geology-based slip-rate models for the Western United States (excluding California) national seismic hazard maps","interactions":[],"lastModifiedDate":"2014-05-01T14:01:26","indexId":"ofr20131293","displayToPublicDate":"2014-05-01T13:48:01","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1293","title":"Geodesy- and geology-based slip-rate models for the Western United States (excluding California) national seismic hazard maps","docAbstract":"The 2014 National Seismic Hazard Maps for the conterminous United States incorporate additional uncertainty in fault slip-rate parameter that controls the earthquake-activity rates than was applied in previous versions of the hazard maps. This additional uncertainty is accounted for by new geodesy- and geology-based slip-rate models for the Western United States. Models that were considered include an updated geologic model based on expert opinion and four combined inversion models informed by both geologic and geodetic input. The two block models considered indicate significantly higher slip rates than the expert opinion and the two fault-based combined inversion models. For the hazard maps, we apply 20 percent weight with equal weighting for the two fault-based models. Off-fault geodetic-based models were not considered in this version of the maps. Resulting changes to the hazard maps are generally less than 0.05 g (acceleration of gravity). Future research will improve the maps and interpret differences between the new models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131293","usgsCitation":"Petersen, M.D., Zeng, Y., Haller, K., McCaffrey, R., Hammond, W.C., Bird, P., Moschetti, M., Shen, Z., Bormann, J., and Thatcher, W., 2014, Geodesy- and geology-based slip-rate models for the Western United States (excluding California) national seismic hazard maps: U.S. Geological Survey Open-File Report 2013-1293, vi, 80 p., https://doi.org/10.3133/ofr20131293.","productDescription":"vi, 80 p.","numberOfPages":"86","onlineOnly":"Y","ipdsId":"IP-051654","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":286831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131293.jpg"},{"id":286828,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1293/"},{"id":286830,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1293/pdf/ofr2013-1293.pdf"}],"country":"United States","state":"Arizona;Colorado;Idaho;Montana;New Mexico;Nevada;Oregon;Utah;Washington;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.5,8.333333333333334E-4 ], [ -125.5,0.001388888888888889 ], [ -0.016666666666666666,0.001388888888888889 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -125.5,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53635ed0e4b08180b01424fe","contributors":{"authors":[{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":491552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zeng, Yuehua zeng@usgs.gov","contributorId":1623,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":491554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haller, Kathleen M. haller@usgs.gov","contributorId":1331,"corporation":false,"usgs":true,"family":"Haller","given":"Kathleen M.","email":"haller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":491553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffrey, Robert","contributorId":51207,"corporation":false,"usgs":true,"family":"McCaffrey","given":"Robert","affiliations":[],"preferred":false,"id":491557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammond, William C.","contributorId":73735,"corporation":false,"usgs":true,"family":"Hammond","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":491559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bird, Peter","contributorId":78643,"corporation":false,"usgs":true,"family":"Bird","given":"Peter","affiliations":[],"preferred":false,"id":491560,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moschetti, Morgan","contributorId":69479,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","affiliations":[],"preferred":false,"id":491558,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shen, Zhengkang","contributorId":31680,"corporation":false,"usgs":true,"family":"Shen","given":"Zhengkang","affiliations":[],"preferred":false,"id":491555,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bormann, Jayne","contributorId":85093,"corporation":false,"usgs":true,"family":"Bormann","given":"Jayne","email":"","affiliations":[],"preferred":false,"id":491561,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thatcher, Wayne","contributorId":35325,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","affiliations":[],"preferred":false,"id":491556,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70115118,"text":"70115118 - 2014 - Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics","interactions":[],"lastModifiedDate":"2018-03-29T09:58:06","indexId":"70115118","displayToPublicDate":"2014-05-01T13:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3289,"text":"Revista Mexicana de Ciencias Geológicas","onlineIssn":"2007-2902","printIssn":"1026-8774","active":true,"publicationSubtype":{"id":10}},"title":"Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics","docAbstract":"

Three sets of fusulinid faunas in Sonora, Mexico, discussed herein, record different depositional and paleotectonic settings along the southwestern margin of Laurentia (North America) during Pennsylvanian and Permian time. The settings include: offshelf continental rise and ocean basin (Rancho Nuevo Formation in the Sonora allochthon), shallow continental shelf (La Cueva Limestone), and foredeep basin on the continental shelf (Mina México Formation). Our data represent 41 fusulinid collections from 23 localities with each locality providing one to eight collections.

Reworked fusulinids in the Middle and Upper Pennsylvanian part of the Rancho Nuevo Formation range in age from Desmoinesian into Virgilian (Moscovian-Gzhelian). Indigenous Permian fusulinids in the La Cueva Limestone range in age from middle or late Wolfcampian to middle Leonardian (late Sakmarian-late Artinskian), and reworked Permian fusulinids in the Mina México Formation range in age from early to middle Leonardian (middle-late Artinskian). Conodonts of Guadalupian age occur in some turbidites in the Mina México Formation, indicating the youngest foredeep deposit is at least Middle Permian in age. Our fusulinid collections indicate a hiatus of at least 10 m.y. between the youngest Pennsylvanian (Virgilian) rocks in the Sonora allochthon and the oldest Permian (middle Wolfcampian) rocks in the region.

Most fusulinid faunas in Sonora show affinities to those of West Texas, New Mexico, and Arizona; however, some genera and species are similar to those in southeastern California. As most species are similar to those east of the southwest-trending Transcontinental arch in New Mexico and Arizona, this arch may have formed a barrier preventing large-scale migration and mixing of faunas between the southern shelf of Laurentia in northwestern Mexico and the western shelf in the southwestern United States.

The Sonora allochthon, consisting of pre-Permian (Lower Ordovician to Upper Pennsylvanian) deep-water continental-rise and ocean-basin rocks, was thrust northward 50–200 km over Permian and older shallow-water carbonate-shelf rocks and Permian deep-water foredeep rocks of southern Laurentia. As Triassic rocks unconformably overlie the Sonora allochthon, we conclude that terminal movement of the allochthon was in Late Permian time.

","language":"English","publisher":"National Autonomous University of Mexico, Sociedad Geológica Mexicana, Instituto Nacional de Geoquímica, Sociedad Mexicana de Paleontología","usgsCitation":"Stevens, C., Poole, F.G., and Amaya-Martinez, R., 2014, Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics: Revista Mexicana de Ciencias Geológicas, v. 31, no. 1, p. 14-27.","productDescription":"14 p.","startPage":"14","endPage":"27","ipdsId":"IP-044690","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":289327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289326,"type":{"id":15,"text":"Index Page"},"url":"https://rmcg.geociencias.unam.mx/revista/index.html"}],"country":"Mexico","state":"Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.7262,27.402 ], [ -112.7262,30.4937 ], [ -108.1985,30.4937 ], [ -108.1985,27.402 ], [ -112.7262,27.402 ] ] ] } } ] }","volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3d869e4b07c5f79a7f342","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":495557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Forrest G. 0000-0001-8487-0799 bpoole@usgs.gov","orcid":"https://orcid.org/0000-0001-8487-0799","contributorId":1543,"corporation":false,"usgs":true,"family":"Poole","given":"Forrest","email":"bpoole@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":495556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amaya-Martinez, Ricardo","contributorId":108405,"corporation":false,"usgs":true,"family":"Amaya-Martinez","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":495558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}