The Missouri River and its tributaries are an important resource that serve multiple uses including agriculture, energy, recreation, and municipal water supply. Understanding historical streamflow characteristics provides relevant guidance to adaptive management of these water resources. Streamflow records in the Missouri River watershed were examined for trends in time series of annual, seasonal, and monthly streamflow. A total of 227 streamgages having continuous observational records for water years 1960–2011 were examined. Kendall’s tau nonparametric test was used to determine statistical significance of trends in annual, seasonal, and monthly streamflow. A trend was considered statistically significant for a probability value less than or equal to 0.10 that the Kendall’s tau value equals zero. Significant trends in annual streamflow were indicated for 101 out of a total of 227 streamgages. The Missouri River watershed was divided into six watershed regions and trends within regions were examined. The western and the southern parts of the Missouri River watershed had downward trends in annual streamflow (56 streamgages), whereas the eastern part of the watershed had upward trends in streamflow (45 streamgages). Seasonal and monthly streamflow trends reflected prevailing annual streamflow trends within each watershed region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145053","usgsCitation":"Norton, P.A., Anderson, M.T., and Stamm, J., 2014, Trends in annual, seasonal, and monthly streamflow characteristics at 227 streamgages in the Missouri River watershed, water years 1960-2011: U.S. Geological Survey Scientific Investigations Report 2014-5053, Report: v, 128 p.; Downloads Directory, https://doi.org/10.3133/sir20145053.","productDescription":"Report: v, 128 p.; Downloads Directory","numberOfPages":"138","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1959-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-044683","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":289269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145053.jpg"},{"id":289268,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5053/"},{"id":289275,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5053/downloads/"},{"id":289267,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5053/pdf/sir2014-5053.pdf"}],"projection":"Albers Equal-Area Conic projection","country":"United States","otherGeospatial":"Missouri River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,35.0 ], [ -120.0,50.0 ], [ -85.0,50.0 ], [ -85.0,35.0 ], [ -120.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d2e4b07b8813a55461","contributors":{"authors":[{"text":"Norton, Parker A. 0000-0002-4638-2601 pnorton@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-2601","contributorId":2257,"corporation":false,"usgs":true,"family":"Norton","given":"Parker","email":"pnorton@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Mark T. 0000-0002-1477-6788 manders@usgs.gov","orcid":"https://orcid.org/0000-0002-1477-6788","contributorId":1764,"corporation":false,"usgs":true,"family":"Anderson","given":"Mark","email":"manders@usgs.gov","middleInitial":"T.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70114974,"text":"70114974 - 2014 - Source processes for the probabilistic assessment of tsunami hazards","interactions":[],"lastModifiedDate":"2014-06-30T12:56:14","indexId":"70114974","displayToPublicDate":"2014-06-30T12:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Source processes for the probabilistic assessment of tsunami hazards","docAbstract":"The importance of tsunami hazard assessment has increased in recent years as a result of catastrophic consequences from events such as the 2004 Indian Ocean and 2011 Japan tsunamis. In particular, probabilistic tsunami hazard assessment (PTHA) methods have been emphasized to include all possible ways a tsunami could be generated. Owing to the scarcity of tsunami observations, a computational approach is used to define the hazard. This approach includes all relevant sources that may cause a tsunami to impact a site and all quantifiable uncertainty. Although only earthquakes were initially considered for PTHA, recent efforts have also attempted to include landslide tsunami sources. Including these sources into PTHA is considerably more difficult because of a general lack of information on relating landslide area and volume to mean return period. The large variety of failure types and rheologies associated with submarine landslides translates to considerable uncertainty in determining the efficiency of tsunami generation. Resolution of these and several other outstanding problems are described that will further advance PTHA methodologies leading to a more accurate understanding of tsunami hazard.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Oceanography Society","doi":"10.5670/oceanog.2014.43","usgsCitation":"Geist, E.L., and Lynett, P.J., 2014, Source processes for the probabilistic assessment of tsunami hazards: Oceanography, v. 27, no. 2, p. 86-93, https://doi.org/10.5670/oceanog.2014.43.","productDescription":"8 p.","startPage":"86","endPage":"93","numberOfPages":"8","ipdsId":"IP-055583","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2014.43","text":"Publisher Index Page"},{"id":289222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289208,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5670/oceanog.2014.43"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d2e4b07b8813a5545f","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynett, Patrick J.","contributorId":64571,"corporation":false,"usgs":true,"family":"Lynett","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495449,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70114976,"text":"70114976 - 2014 - A framework for the probabilistic analysis of meteotsunamis","interactions":[],"lastModifiedDate":"2017-11-18T12:06:44","indexId":"70114976","displayToPublicDate":"2014-06-30T12:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A framework for the probabilistic analysis of meteotsunamis","docAbstract":"A probabilistic technique is developed to assess the hazard from meteotsunamis. Meteotsunamis are unusual sea-level events, generated when the speed of an atmospheric pressure or wind disturbance is comparable to the phase speed of long waves in the ocean. A general aggregation equation is proposed for the probabilistic analysis, based on previous frameworks established for both tsunamis and storm surges, incorporating different sources and source parameters of meteotsunamis. Parameterization of atmospheric disturbances and numerical modeling is performed for the computation of maximum meteotsunami wave amplitudes near the coast. A historical record of pressure disturbances is used to establish a continuous analytic distribution of each parameter as well as the overall Poisson rate of occurrence. A demonstration study is presented for the northeast U.S. in which only isolated atmospheric pressure disturbances from squall lines and derechos are considered. For this study, Automated Surface Observing System stations are used to determine the historical parameters of squall lines from 2000 to 2013. The probabilistic equations are implemented using a Monte Carlo scheme, where a synthetic catalog of squall lines is compiled by sampling the parameter distributions. For each entry in the catalog, ocean wave amplitudes are computed using a numerical hydrodynamic model. Aggregation of the results from the Monte Carlo scheme results in a meteotsunami hazard curve that plots the annualized rate of exceedance with respect to maximum event amplitude for a particular location along the coast. Results from using multiple synthetic catalogs, resampled from the parent parameter distributions, yield mean and quantile hazard curves. Further refinements and improvements for probabilistic analysis of meteotsunamis are discussed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer Netherlands","doi":"10.1007/s11069-014-1294-1","usgsCitation":"Geist, E.L., ten Brink, U., and Gove, M., 2014, A framework for the probabilistic analysis of meteotsunamis: Natural Hazards, v. 74, no. 1, p. 123-142, https://doi.org/10.1007/s11069-014-1294-1.","productDescription":"20 p.","startPage":"123","endPage":"142","numberOfPages":"20","ipdsId":"IP-056612","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472918,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/6933","text":"External Repository"},{"id":289218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289215,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-014-1294-1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.0,29.0 ], [ -78.0,43.5 ], [ -64.5,43.5 ], [ -64.5,29.0 ], [ -78.0,29.0 ] ] ] } } ] }","volume":"74","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-06-19","publicationStatus":"PW","scienceBaseUri":"53b278cfe4b07b8813a55455","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":495451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gove, Matthew D.","contributorId":17535,"corporation":false,"usgs":true,"family":"Gove","given":"Matthew D.","affiliations":[],"preferred":false,"id":495452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70095530,"text":"ofr20141045 - 2014 - Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","interactions":[],"lastModifiedDate":"2019-03-05T08:58:37","indexId":"ofr20141045","displayToPublicDate":"2014-06-30T11:45:00","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":"2014-1045","title":"Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","docAbstract":"As part of the U.S. Geological Survey’s (USGS) multi-hazards project in the Long Valley Caldera-Mono Lake area, the California Geological Survey (CGS) developed several earthquake scenarios and evaluated potential seismic hazards, including ground shaking, surface fault rupture, liquefaction, and landslide hazards associated with these earthquake scenarios. The results of these analyses can be useful in estimating the extent of potential damage and economic losses because of potential earthquakes and also for preparing emergency response plans.
The Long Valley Caldera-Mono Lake area has numerous active faults. Five of these faults or fault zones are considered capable of producing magnitude ≥6.7 earthquakes according to the Uniform California Earthquake Rupture Forecast, Version 2 (UCERF 2) developed by the 2007 Working Group on California Earthquake Probabilities (WGCEP) and the USGS National Seismic Hazard Mapping Program. These five faults are the Fish Slough, Hartley Springs, Hilton Creek, Mono Lake, and Round Valley Faults. CGS developed earthquake scenarios for these five faults in the study area and for the White Mountains Fault Zone to the east of the study area.
In this report, an earthquake scenario is intended to depict the potential consequences of significant earthquakes. A scenario earthquake is not necessarily the largest or most damaging earthquake possible on a recognized fault. Rather it is both large enough and likely enough that emergency planners should consider it in regional emergency response plans. In particular, the ground motion predicted for a given scenario earthquake does not represent a full probabilistic hazard assessment, and thus it does not provide the basis for hazard zoning and earthquake-resistant building design.
Earthquake scenarios presented here are based on fault geometry and activity data developed by the WGCEP, and are consistent with the 2008 Update of the United States National Seismic Hazard Maps (NSHM). Alternatives to the NSHM scenario were developed for the Hilton Creek and Hartley Springs Faults to account for different opinions in how far these two faults extend into Long Valley Caldera. For each scenario, ground motions were calculated using the current standard practice: the deterministic seismic hazard analysis program developed by Art Frankel of USGS and three Next Generation Ground Motion Attenuation (NGA) models. Ground motion calculations incorporated the potential amplification of seismic shaking by near-surface soils defined by a map of the average shear wave velocity in the uppermost 30 m (VS30) developed by CGS.
In addition to ground shaking and shaking-related ground failure such as liquefaction and earthquake induced landslides, earthquakes cause surface rupture displacement, which can lead to severe damage of buildings and lifelines. For each earthquake scenario, potential surface fault displacements are estimated using deterministic and probabilistic approaches. Liquefaction occurs when saturated sediments lose their strength because of ground shaking. Zones of potential liquefaction are mapped by incorporating areas where loose sandy sediments, shallow groundwater, and strong earthquake shaking coincide in the earthquake scenario. The process for defining zones of potential landslide and rockfall incorporates rock strength, surface slope, and existing landslides, with ground motions caused by the scenario earthquake.
Each scenario is illustrated with maps of seismic shaking potential and fault displacement, liquefaction, and landslide potential. Seismic shaking is depicted by the distribution of shaking intensity, peak ground acceleration, and 1.0-second spectral acceleration. One-second spectral acceleration correlates well with structural damage to surface facilities. Acceleration greater than 0.2 g is often associated with strong ground shaking and may cause moderate to heavy damage. The extent of strong shaking is influenced by subsurface fault dip and near surface materials. Strong shaking is more widespread in the hanging wall regions of a normal fault. Larger ground motions also occur where young alluvial sediments amplify the shaking. Both of these effects can lead to strong shaking that extends farther from the fault on the valley side than on the hill side.
The effect of fault rupture displacements may be localized along the surface trace of the mapped earthquake fault if fault geometry is simple and the fault traces are accurately located. However, surface displacement hazards can spread over a few hundred meters to a few kilometers if the earthquake fault has numerous splays or branches, such as the Hilton Creek Fault. Faulting displacements are estimated to be about 1 meter along normal faults in the study area and close to 2 meters along the White Mountains Fault Zone.
All scenarios show the possibility of widespread ground failure. Liquefaction damage would likely occur in the areas of higher ground shaking near the faults where there are sandy/silty sediments and the depth to groundwater is 6.1 meters (20 feet) or less. Generally, this means damage is most common near lakes and streams in the areas of strongest shaking. Landslide potential exists throughout the study region. All steep slopes (>30 degrees) present a potential hazard at any level of shaking. Lesser slopes may have landslides within the areas of the higher ground shaking. The landslide hazard zones also are likely sources for snow avalanches during winter months and for large boulders that can be shaken loose and roll hundreds of feet down hill, which happened during the 1980 Mammoth Lakes earthquakes.
Whereas methodologies used in estimating ground shaking, liquefaction, and landslides are well developed and have been applied in published hazard maps; methodologies used in estimating surface fault displacement are still being developed. Therefore, this report provides a more in-depth and detailed discussion of methodologies used for deterministic and probabilistic fault displacement hazard analyses for this project.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141045","collaboration":"California Geological Survey Special Report 233","usgsCitation":"Chen, R., Branum, D.M., Wills, C.J., and Hill, D.P., 2018, Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018): U.S. Geological Survey Open-File Report 2014–1045, and California Geological Survey Special Report 233, 84 p., https://doi.org/10.3133/ofr20141045.","productDescription":"viii, 84 p.","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-036752","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":289212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141045.jpg"},{"id":350484,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_versionhist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1045"},{"id":289207,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/","text":"Index Page"},{"id":289211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_v2.0.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1045"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera;Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.5,37.15 ], [ -119.5,38.2 ], [ -117.5,38.2 ], [ -117.5,37.15 ], [ -119.5,37.15 ] ] ] } } ] }","edition":"Version 1.0: Originally posted June 2014; Version 2.0: January 2018","contact":"Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
The Ordovician 87Sr/86Sr isotope seawater curve is well established and shows a decreasing trend until the mid-Katian. However, uncertainties in calibration of this curve to biostratigraphy and geochronology have made it difficult to determine how the rates of 87Sr/86Sr decrease may have varied, which has implications for both the stratigraphic resolution possible using Sr isotope stratigraphy and efforts to model the effects of Ordovician geologic events. We measured 87Sr/86Sr in conodont apatite in North American Ordovician sections that are well studied for conodont biostratigraphy, primarily in Nevada, Oklahoma, the Appalachian region, and Ohio Valley. Our results indicate that conodont apatite may provide an accurate medium for Sr isotope stratigraphy and strengthen previous reports that point toward a significant increase in the rate of fall in seawater 87Sr/86Sr during the Middle Ordovician Darriwilian Stage. Our 87Sr/86Sr results suggest that Sr isotope stratigraphy will be most useful as a high-resolution tool for global correlation in the mid-Darriwilian to mid-Sandbian, when the maximum rate of fall in 87Sr/86Sr is estimated at ∼5.0–10.0 × 10–5 per m.y. Variable preservation of conodont elements limits the precision for individual stratigraphic horizons. Replicate conodont analyses from the same sample differ by an average of ∼4.0 × 10–5 (the 2σ standard deviation is 6.2 × 10–5), which in the best case scenario allows for subdivision of Ordovician time intervals characterized by the highest rates of fall in 87Sr/86Sr at a maximum resolution of ∼0.5–1.0 m.y. Links between the increased rate of fall in 87Sr/86Sr beginning in the mid-late Darriwilian (Phragmodus polonicus to Pygodus serra conodont zones) and geologic events continue to be investigated, but the coincidence with a long-term rise in sea level (Sauk-Tippecanoe megasequence boundary) and tectonic events (Taconic orogeny) in North America provides a plausible explanation for the changing magnitude and87Sr/86Sr of the riverine Sr flux to the oceans.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B31038.1","usgsCitation":"Saltzman, M.R., Edwards, C.T., Leslie, S.A., Dwyer, G., Bauer, J.A., Repetski, J.E., Harris, A.G., and Bergstrom, S.M., 2014, Calibration of a conodont apatite-based Ordovician 87Sr/86Sr curve to biostratigraphy and geochronology: Implications for stratigraphic resolution: GSA Bulletin, v. 126, no. 11-12, p. 1551-1568, https://doi.org/10.1130/B31038.1.","productDescription":"18 p.","startPage":"1551","endPage":"1568","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057069","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":307815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"11-12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-30","publicationStatus":"PW","scienceBaseUri":"55e81daee4b0dacf699e665e","contributors":{"authors":[{"text":"Saltzman, M. R.","contributorId":147228,"corporation":false,"usgs":false,"family":"Saltzman","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, C. T.","contributorId":147229,"corporation":false,"usgs":false,"family":"Edwards","given":"C.","email":"","middleInitial":"T.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":570810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leslie, S. A.","contributorId":147230,"corporation":false,"usgs":false,"family":"Leslie","given":"S.","email":"","middleInitial":"A.","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":570811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, Gary S.","contributorId":67642,"corporation":false,"usgs":true,"family":"Dwyer","given":"Gary S.","affiliations":[],"preferred":false,"id":570812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauer, J. A.","contributorId":147232,"corporation":false,"usgs":false,"family":"Bauer","given":"J.","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":570813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":570808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, A. G.","contributorId":147233,"corporation":false,"usgs":false,"family":"Harris","given":"A.","email":"","middleInitial":"G.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":570814,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bergstrom, S. M.","contributorId":147234,"corporation":false,"usgs":false,"family":"Bergstrom","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570815,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70114492,"text":"ofr20101083N - 2014 - Seismicity of the Earth 1900-2012 Java and vicinity","interactions":[],"lastModifiedDate":"2014-06-30T10:41:23","indexId":"ofr20101083N","displayToPublicDate":"2014-06-30T10:33:00","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":"2010-1083","chapter":"N","title":"Seismicity of the Earth 1900-2012 Java and vicinity","docAbstract":"The Sunda convergent margin extends for 5,600 km from the Bay of Bengal and the Andaman Sea, both located northwest of the map area, towards the island of Sumba in the southeast, and then continues eastward as the Banda arc system. This tectonically active margin is a result of the India and Australia plates converging with and subducting beneath the Sunda plate at a rate of approximately 50 to 70 mm/yr. The main physiographic feature associated with this convergent margin is the Sunda-Java Trench, which stretches for 3,000 km parallel to the Java and Sumatra land masses and terminates at 120° E. The convergence of the Indo-Australia and Sunda plates produces two active volcanic arcs: Sunda, which extends from 105 to 122° E and Banda, which extends from 122 to 128° E. The Sunda arc results solely from relatively simple oceanic plate subduction, while the Banda arc represents the transition from oceanic subduction to continental collision, where a complex, broad deforming zone is found.
\nBased on modern activity, the Banda arc can be divided into three distinct zones: an inactive section, the Wetar Zone, bound by two active segments, the Flores Zone in the west and the Damar Zone in the east. The lack of volcanism in the Wetar Zone is attributed to the collision of Australia with the Sunda plate. The absence of gap in volcanic activity is underlain by a gap in intermediate depth seismicity, which is in contrast to nearly continuous, deep seismicity below all three sections of the arc. The Flores Zone is characterized by down-dip compression in the subducted slab at intermediate depths and late Quaternary uplift of the forearc. These unusual features, along with GPS data interpretations indicate that the Flores Zone marks the transition between subduction of oceanic crust in the west and the collision of continental crust in the east.
\nThe Java section of the Sunda arc is considered relatively aseismic historically when compared to the highly seismically active Sumatra section, despite both areas being located along the same active subduction margin. Shallow (0–20 km) events have occurred historically in the overlying Sunda plate, causing damage to local and regional communities. A recent example was the May 26, 2006 M6.3 left-lateral strike-slip event that occurred at a depth of 10 km in central Java, and caused over 5,700 fatalities. Intermediate depth (70–300 km) earthquakes frequently occur beneath Java as a result of intraplate faulting within the Australia slab. Deep (300–650 km) earthquakes occur beneath the Java Sea and the back-arc region to the north of Java. Similar to other intermediate depth events, these earthquakes are also associated with intraslab faulting. However, this subduction zone exhibits a gap in seismicity from 250 to 400 km, interpreted as the transition between extensional and compressional slab stresses. Historical examples of large intraplate events include: the 1903 M8.1 event, 1921 M7.5 event, 1977 M8.3 event, and August 2007 M7.5 event.
\nLarge thrust earthquakes close to the Java trench are typically interplate faulting events along the slab interface between the Australia and Sunda plates. These earthquakes also generally have high tsunamigenic potential due to their shallow hypocentral depths. In some cases, these events have demonstrated slow moment-release and have been defined as ‘tsunami’ earthquakes, where rupture is large in the weak crustal layers very close to the seafloor. These events are categorized by tsunamis that are significantly larger than predicted by the earthquake’s magnitude. The most notable tsunami earthquakes in the Java region occurred on June 2, 1994 (M7.8) and July 17, 2006 (M7.7). The 1994 event produced a tsunami with wave runup heights of 13 m, killing over 200 people. The 2006 event produced a tsunami of up to 15 m, and killed 730 people. Although both of these tsunami earthquakes were characterized by rupture along thrust faults, they were followed by an abundance of normal faulting aftershocks. These aftershocks are interpreted to result from extension within the subducting Australia plate, whereas the mainshocks represented interplate faulting between the Australia and Sunda plates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101083N","issn":"2331-1258","usgsCitation":"Jones, E.S., Hayes, G., Bernardino, M., Dannemann, F.K., Furlong, K.P., Benz, H.M., and Villaseñor, A., 2014, Seismicity of the Earth 1900-2012 Java and vicinity: U.S. Geological Survey Open-File Report 2010-1083, 1 Map: 37.13 x 23.83 inches, https://doi.org/10.3133/ofr20101083N.","productDescription":"1 Map: 37.13 x 23.83 inches","onlineOnly":"Y","temporalStart":"1900-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-049053","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":289190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20101083N.jpg"},{"id":289188,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1083/n/"},{"id":289189,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1083/n/pdf/of2010-1083-N.pdf"}],"scale":"5000000","projection":"World Mercator projection","otherGeospatial":"Sunda","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 105.0,-15.0 ], [ 105.0,0.0 ], [ 130.0,0.0 ], [ 130.0,-15.0 ], [ 105.0,-15.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d1e4b07b8813a5545d","contributors":{"authors":[{"text":"Jones, Eric S. 0000-0002-9200-8442 esjones@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-8442","contributorId":4924,"corporation":false,"usgs":true,"family":"Jones","given":"Eric","email":"esjones@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":495327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":495328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernardino, Melissa","contributorId":100732,"corporation":false,"usgs":true,"family":"Bernardino","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":495331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dannemann, Fransiska K.","contributorId":44077,"corporation":false,"usgs":true,"family":"Dannemann","given":"Fransiska","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Kevin P. 0000-0002-2674-5110","orcid":"https://orcid.org/0000-0002-2674-5110","contributorId":19576,"corporation":false,"usgs":false,"family":"Furlong","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":495326,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villaseñor, Antonio","contributorId":100969,"corporation":false,"usgs":true,"family":"Villaseñor","given":"Antonio","affiliations":[],"preferred":false,"id":495332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70114966,"text":"70114966 - 2014 - Sampling little fish in big rivers: Larval fish detection probabilities in two Lake Erie tributaries and implications for sampling effort and abundance indices","interactions":[],"lastModifiedDate":"2017-10-12T15:00:46","indexId":"70114966","displayToPublicDate":"2014-06-30T10:24:00","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":"Sampling little fish in big rivers: Larval fish detection probabilities in two Lake Erie tributaries and implications for sampling effort and abundance indices","docAbstract":"Larval fish are frequently sampled in coastal tributaries to determine factors affecting recruitment, evaluate spawning success, and estimate production from spawning habitats. Imperfect detection of larvae is common, because larval fish are small and unevenly distributed in space and time, and coastal tributaries are often large and heterogeneous. We estimated detection probabilities of larval fish from several taxa in the Maumee and Detroit rivers, the two largest tributaries of Lake Erie. We then demonstrated how accounting for imperfect detection influenced (1) the probability of observing taxa as present relative to sampling effort and (2) abundance indices for larval fish of two Detroit River species. We found that detection probabilities ranged from 0.09 to 0.91 but were always less than 1.0, indicating that imperfect detection is common among taxa and between systems. In general, taxa with high fecundities, small larval length at hatching, and no nesting behaviors had the highest detection probabilities. Also, detection probabilities were higher in the Maumee River than in the Detroit River. Accounting for imperfect detection produced up to fourfold increases in abundance indices for Lake Whitefish Coregonus clupeaformis and Gizzard Shad Dorosoma cepedianum. The effect of accounting for imperfect detection in abundance indices was greatest during periods of low abundance for both species. Detection information can be used to determine the appropriate level of sampling effort for larval fishes and may improve management and conservation decisions based on larval fish data.","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2014.911204","usgsCitation":"Pritt, J., DuFour, M., Mayer, C.M., Roseman, E., and DeBruyne, R.L., 2014, Sampling little fish in big rivers: Larval fish detection probabilities in two Lake Erie tributaries and implications for sampling effort and abundance indices: Transactions of the American Fisheries Society, v. 143, no. 4, p. 1011-1027, https://doi.org/10.1080/00028487.2014.911204.","productDescription":"17 p.","startPage":"1011","endPage":"1027","ipdsId":"IP-054295","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":289187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Detroit River, Lake Erie, Maumee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6953,41.5493 ], [ -83.6953,42.4 ], [ -82.8852,42.4 ], [ -82.8852,41.5493 ], [ -83.6953,41.5493 ] ] ] } } ] }","volume":"143","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-06-25","publicationStatus":"PW","scienceBaseUri":"53b278d1e4b07b8813a55459","contributors":{"authors":[{"text":"Pritt, Jeremy J.","contributorId":38055,"corporation":false,"usgs":true,"family":"Pritt","given":"Jeremy J.","affiliations":[],"preferred":false,"id":495445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuFour, Mark R.","contributorId":36451,"corporation":false,"usgs":true,"family":"DuFour","given":"Mark R.","affiliations":[],"preferred":false,"id":495444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roseman, Edward F.","contributorId":100334,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":495447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":495443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70101651,"text":"sir20145004 - 2014 - Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey","interactions":[],"lastModifiedDate":"2014-06-30T09:51:26","indexId":"sir20145004","displayToPublicDate":"2014-06-30T09:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5004","title":"Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey","docAbstract":"Regional regression equations were developed for estimating monthly flow-duration and monthly low-flow frequency statistics for ungaged streams in Coastal Plain and non-coastal regions of New Jersey for baseline and current land- and water-use conditions. The equations were developed to estimate 87 different streamflow statistics, which include the monthly 99-, 90-, 85-, 75-, 50-, and 25-percentile flow-durations of the minimum 1-day daily flow; the August–September 99-, 90-, and 75-percentile minimum 1-day daily flow; and the monthly 7-day, 10-year (M7D10Y) low-flow frequency. These 87 streamflow statistics were computed for 41 continuous-record streamflow-gaging stations (streamgages) with 20 or more years of record and 167 low-flow partial-record stations in New Jersey with 10 or more streamflow measurements.
\nThe regression analyses used to develop equations to estimate selected streamflow statistics were performed by testing the relation between flow-duration statistics and low-flow frequency statistics for 32 basin characteristics (physical characteristics, land use, surficial geology, and climate) at the 41 streamgages and 167 low-flow partial-record stations. The regression analyses determined drainage area, soil permeability, average April precipitation, average June precipitation, and percent storage (water bodies and wetlands) were the significant explanatory variables for estimating the selected flow-duration and low-flow frequency statistics.
\nStreamflow estimates were computed for two land- and water-use conditions in New Jersey—land- and water-use during the baseline period of record (defined as the years a streamgage had little to no change in development and water use) and current land- and water-use conditions (1989–2008)—for each selected station using data collected through water year 2008. The baseline period of record is representative of a period when the basin was unaffected by change in development. The current period is representative of the increased development of the last 20 years (1989–2008). The two different land- and water-use conditions were used as surrogates for development to determine whether there have been changes in low-flow statistics as a result of changes in development over time. The State was divided into two low-flow regression regions, the Coastal Plain and the non-coastal region, in order to improve the accuracy of the regression equations. The left-censored parametric survival regression method was used for the analyses to account for streamgages and partial-record stations that had zero flow values for some of the statistics. The average standard error of estimate for the 348 regression equations ranged from 16 to 340 percent. These regression equations and basin characteristics are presented in the U.S. Geological Survey (USGS) StreamStats Web-based geographic information system application. This tool allows users to click on an ungaged site on a stream in New Jersey and get the estimated flow-duration and low-flow frequency statistics. Additionally, the user can click on a streamgage or partial-record station and get the “at-site” streamflow statistics.
\nThe low-flow characteristics of a stream ultimately affect the use of the stream by humans. Specific information on the low-flow characteristics of streams is essential to water managers who deal with problems related to municipal and industrial water supply, fish and wildlife conservation, and dilution of wastewater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145004","issn":"2328-0328","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and McHugh, A.R., 2014, Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey: U.S. Geological Survey Scientific Investigations Report 2014-5004, Report: ix, 58 p.; 6 Appendixes, https://doi.org/10.3133/sir20145004.","productDescription":"Report: ix, 58 p.; 6 Appendixes","numberOfPages":"73","onlineOnly":"Y","ipdsId":"IP-043031","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":289177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145004.jpg"},{"id":289171,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_1_obs_est_noncoastbaseline.xlsx"},{"id":289172,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_2_obs_est_coastbaseline.xlsx"},{"id":289173,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_3_obs_est_noncoastcurrent.xlsx"},{"id":289170,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/sir2014-5004.pdf"},{"id":289174,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_4_obs_est_coastcurrent.xlsx"},{"id":289175,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_5_base_vs_current_noncoastal.xlsx"},{"id":289176,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_6_base_vs_current_coastal.xlsx"},{"id":286245,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5004/"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5,39.0 ], [ -75.5,41.25 ], [ -74.0,41.25 ], [ -74.0,39.0 ], [ -75.5,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d0e4b07b8813a55457","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Amy R.","contributorId":33222,"corporation":false,"usgs":true,"family":"McHugh","given":"Amy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492723,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70120200,"text":"70120200 - 2014 - Air-sea interactions during strong winter extratropical storms","interactions":[],"lastModifiedDate":"2014-08-13T08:48:30","indexId":"70120200","displayToPublicDate":"2014-06-30T08:45:29","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2923,"text":"Ocean Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Air-sea interactions during strong winter extratropical storms","docAbstract":"A high-resolution, regional coupled atmosphere–ocean model is used to investigate strong air–sea interactions during a rapidly developing extratropical cyclone (ETC) off the east coast of the USA. In this two-way coupled system, surface momentum and heat fluxes derived from the Weather Research and Forecasting model and sea surface temperature (SST) from the Regional Ocean Modeling System are exchanged via the Model Coupling Toolkit. Comparisons are made between the modeled and observed wind velocity, sea level pressure, 10 m air temperature, and sea surface temperature time series, as well as a comparison between the model and one glider transect. Vertical profiles of modeled air temperature and winds in the marine atmospheric boundary layer and temperature variations in the upper ocean during a 3-day storm period are examined at various cross-shelf transects along the eastern seaboard. It is found that the air–sea interactions near the Gulf Stream are important for generating and sustaining the ETC. In particular, locally enhanced winds over a warm sea (relative to the land temperature) induce large surface heat fluxes which cool the upper ocean by up to 2 °C, mainly during the cold air outbreak period after the storm passage. Detailed heat budget analyses show the ocean-to-atmosphere heat flux dominates the upper ocean heat content variations. Results clearly show that dynamic air–sea interactions affecting momentum and buoyancy flux exchanges in ETCs need to be resolved accurately in a coupled atmosphere–ocean modeling framework.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ocean Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s10236-014-0745-2","usgsCitation":"Nelson, J., He, R., Warner, J., and Bane, J., 2014, Air-sea interactions during strong winter extratropical storms: Ocean Dynamics, https://doi.org/10.1007/s10236-014-0745-2.","ipdsId":"IP-053311","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":292051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292049,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10236-014-0745-2"}],"noUsgsAuthors":false,"publicationDate":"2014-07-30","publicationStatus":"PW","scienceBaseUri":"53ec7bc3e4b02bf5a7673fe1","contributors":{"authors":[{"text":"Nelson, Jill","contributorId":24288,"corporation":false,"usgs":true,"family":"Nelson","given":"Jill","email":"","affiliations":[],"preferred":false,"id":497967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Ruoying","contributorId":68029,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":497968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bane, John","contributorId":80590,"corporation":false,"usgs":true,"family":"Bane","given":"John","email":"","affiliations":[],"preferred":false,"id":497969,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148030,"text":"70148030 - 2014 - Rapid reservoir erosion, hyperconcentrated flow, and downstream deposition triggered by breaching of 38 m tall Condit Dam, White Salmon River, Washington","interactions":[],"lastModifiedDate":"2019-04-24T16:25:33","indexId":"70148030","displayToPublicDate":"2014-06-30T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Rapid reservoir erosion, hyperconcentrated flow, and downstream deposition triggered by breaching of 38 m tall Condit Dam, White Salmon River, Washington","docAbstract":"Condit Dam on the White Salmon River, Washington, a 38 m high dam impounding a large volume (1.8 million m3) of fine-grained sediment (60% sand, 35% silt and clay, and 5% gravel), was rapidly breached in October 2011. This unique dam decommissioning produced dramatic upstream and downstream geomorphic responses in the hours and weeks following breaching. Blasting a 5 m wide hole into the base of the dam resulted in rapid reservoir drawdown, abruptly releasing ~1.6 million m3 of reservoir water, exposing reservoir sediment to erosion, and triggering mass failures of the thickly accumulated reservoir sediment. Within 90 min of breaching, the reservoir's water and ~10% of its sediment had evacuated. At a gauging station 2.3 km downstream, flow increased briefly by 400 m3 s−1during passage of the initial pulse of released reservoir water, followed by a highly concentrated flow phase—up to 32% sediment by volume—as landslide-generated slurries from the reservoir moved downstream. This hyperconcentrated flow, analogous to those following volcanic eruptions or large landslides, draped the downstream river with predominantly fine sand. During the ensuing weeks, suspended-sediment concentration declined and sand and gravel bed load derived from continued reservoir erosion aggraded the channel by >1 m at the gauging station, after which the river incised back to near its initial elevation at this site. Within 15 weeks after breaching, over 1 million m3 of suspended load is estimated to have passed the gauging station, consistent with estimates that >60% of the reservoir's sediment had eroded. This dam removal highlights the influence of interactions among reservoir erosion processes, sediment composition, and style of decommissioning on rate of reservoir erosion and consequent downstream behavior of released sediment.
","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1002/2013JF003073","usgsCitation":"Wilcox, A., O'Connor, J., and Major, J.J., 2014, Rapid reservoir erosion, hyperconcentrated flow, and downstream deposition triggered by breaching of 38 m tall Condit Dam, White Salmon River, Washington: Journal of Geophysical Research F: Earth Surface, v. 119, no. 6, p. 1376-1394, https://doi.org/10.1002/2013JF003073.","productDescription":"19 p.","startPage":"1376","endPage":"1394","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053431","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":472920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jf003073","text":"Publisher Index Page"},{"id":300368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Condit Dam, White Salmon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.52260780334473,\n 45.72865183125292\n ],\n [\n -121.52063369750977,\n 45.728022722952005\n ],\n [\n -121.52020454406738,\n 45.73266597450886\n ],\n [\n -121.52398109436035,\n 45.7434787607362\n ],\n [\n -121.52024745941162,\n 45.748450142487684\n ],\n [\n -121.52561187744139,\n 45.75153457244126\n ],\n [\n -121.5283155441284,\n 45.75482843562817\n ],\n [\n -121.53063297271729,\n 45.755517127902586\n ],\n [\n -121.53204917907715,\n 45.758810756036375\n ],\n [\n -121.5351390838623,\n 45.760697019140615\n ],\n [\n -121.53625488281249,\n 45.7603976165563\n ],\n [\n -121.53646945953369,\n 45.76102636012771\n ],\n [\n -121.53586864471436,\n 45.76246346168499\n ],\n [\n -121.53788566589355,\n 45.76623567715302\n ],\n [\n -121.53634071350099,\n 45.771624113926\n ],\n [\n -121.53573989868164,\n 45.772462268416774\n ],\n [\n -121.53153419494627,\n 45.77207312682679\n ],\n [\n -121.5287446975708,\n 45.77350994381717\n ],\n [\n -121.52861595153809,\n 45.77641339849942\n ],\n [\n -121.51891708374023,\n 45.777161687060875\n ],\n [\n -121.51458263397215,\n 45.77970579306053\n ],\n [\n -121.51621341705322,\n 45.78075333238026\n ],\n [\n -121.52071952819824,\n 45.77865823405973\n ],\n [\n -121.52719974517822,\n 45.778927608253966\n ],\n [\n -121.53028964996336,\n 45.777341274821474\n ],\n [\n -121.53136253356934,\n 45.77413853961047\n ],\n [\n -121.53269290924072,\n 45.77371947653551\n ],\n [\n -121.53728485107422,\n 45.77359974365\n ],\n [\n -121.53977394104004,\n 45.7661159282012\n ],\n [\n -121.53728485107422,\n 45.7624035831925\n ],\n [\n -121.53788566589355,\n 45.76072695931068\n ],\n [\n -121.53719902038574,\n 45.759259872083206\n ],\n [\n -121.53539657592773,\n 45.759619162317925\n ],\n [\n -121.53329372406006,\n 45.758271812008445\n ],\n [\n -121.53196334838867,\n 45.75521769752324\n ],\n [\n -121.52878761291504,\n 45.75369057759717\n ],\n [\n -121.52612686157227,\n 45.74991751391586\n ],\n [\n -121.52239322662352,\n 45.748090780339176\n ],\n [\n -121.52531147003174,\n 45.74554523221924\n ],\n [\n -121.52595520019531,\n 45.74275997011605\n ],\n [\n -121.52350902557373,\n 45.73817746236117\n ],\n [\n -121.52372360229491,\n 45.73557155492051\n ],\n [\n -121.522479057312,\n 45.7319470446862\n ],\n [\n -121.52475357055664,\n 45.729191061299915\n ],\n [\n -121.52260780334473,\n 45.72865183125292\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-26","publicationStatus":"PW","scienceBaseUri":"555475b3e4b0a92fa7e94f58","contributors":{"authors":[{"text":"Wilcox, Andrew C.","contributorId":25064,"corporation":false,"usgs":true,"family":"Wilcox","given":"Andrew C.","affiliations":[],"preferred":false,"id":546869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":546867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":546870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173555,"text":"70173555 - 2014 - Incubation success and habitat selection of shore-spawning kokanee Onchorhynchus nerka: effects of water level regulation and habitat characteristics.","interactions":[],"lastModifiedDate":"2016-06-09T15:54:21","indexId":"70173555","displayToPublicDate":"2014-06-28T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Incubation success and habitat selection of shore-spawning kokanee Onchorhynchus nerka: effects of water level regulation and habitat characteristics.","docAbstract":"Changes to water-level regimes have been known to restructure fish assemblages and interfere with the population dynamics of both littoral and pelagic species. The effect of altered water-level regimes on shore-spawning kokanee Oncorhynchus nerka incubation success was evaluated using a comprehensive in situ study in Lake Pend Oreille, ID, USA. Survival was not related to substrate size composition or depth, indicating that shore-spawning kokanee do not currently receive a substrate-mediated survival benefit from higher winter water levels. Substrate composition also did not differ among isobaths in the nearshore area. On average, the odds of an egg surviving to the preemergent stage were more than three times greater for sites in downwelling areas than those lacking downwelling. This study revealed that shoreline spawning habitat is not as limited as previously thought. Downwelling areas appear to contribute substantially to shore-spawning kokanee recruitment. This research illustrates the value of rigorous in situ studies both for testing potential mechanisms underlying population trends and providing insight into spawning habitat selection.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12156","usgsCitation":"Whitlock, S.L., Quist, M.C., and Dux, A., 2014, Incubation success and habitat selection of shore-spawning kokanee Onchorhynchus nerka: effects of water level regulation and habitat characteristics.: Ecology of Freshwater Fish, v. 24, no. 3, p. 412-423, https://doi.org/10.1111/eff.12156.","productDescription":"12 p.","startPage":"412","endPage":"423","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053518","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-28","publicationStatus":"PW","scienceBaseUri":"575a9333e4b04f417c275155","contributors":{"authors":[{"text":"Whitlock, Steven L.","contributorId":171705,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dux, Andrew M.","contributorId":73491,"corporation":false,"usgs":true,"family":"Dux","given":"Andrew M.","affiliations":[],"preferred":false,"id":638338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70103574,"text":"sir20145087 - 2014 - Low-flow characteristics of streams in the Lahaina District, West Maui, Hawai'i","interactions":[],"lastModifiedDate":"2014-06-27T16:21:50","indexId":"sir20145087","displayToPublicDate":"2014-06-27T16:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5087","title":"Low-flow characteristics of streams in the Lahaina District, West Maui, Hawai'i","docAbstract":"The purpose of this study was to characterize streamflow availability under natural low-flow conditions for streams in the Lahaina District, west Maui, Hawaiʻi. The study-area streams included Honolua Stream and tributary Pāpua Gulch, Honokahua Stream and tributary Mokupeʻa Gulch, Kahana Stream, Honokōwai Stream and tributaries Amalu and Kapāloa Streams, Wahikuli Gulch and tributary Hāhākea Gulch, Kahoma Stream and tributary Kanahā Stream, Kauaʻula Stream, Launiupoko Stream, Olowalu Stream, and Ukumehame Gulch. The results of this study can be used to assist in the determination of technically defensible instream-flow standards for the study-area streams.
\nLow-flow characteristics for natural (unregulated) streamflow conditions were represented by flow-duration discharges that are equaled or exceeded between 50 and 95 percent of the time. Partial-record sites were established on 10 main streams and 5 tributary streams, mainly upstream from existing surface-water diversions. Flow characteristics were determined using historical and current streamflow data from continuous-record streamflow-gaging stations and miscellaneous sites, and additional data collected as part of this study. Based on strategically scheduled observations, six of the study-area streams were ephemeral streams that were observed to remain dry at least 50 percent of the time: Pāpua Gulch, Honokahua Stream and its tributary Mokupeʻa Gulch, Kahana Stream, and Wahikuli Gulch and its tributary Hāhākea Gulch. For the remaining streams with measurable flow, Honolua, Honokōwai, Kahoma, Kanahā, Kauaʻula, Launiupoko, and Olowalu Streams, and Ukumehame Gulch, flow-duration discharges were computed for the 30-year base period (water years 1984–2013), using two record-augmentation techniques. The 95-percent flow-duration discharges ranged from 0 to 4.8 cubic feet per second (ft3/s). The 50-percent flow-duration discharges ranged from 0.47 to 9.5 ft3/s.
\nThis study also estimated the streamflow gains and losses downstream of surface-water diversions using seepage-run measurements. A majority of the streams lost flow downstream from diversions. Measured seepage-loss rates ranged between 0.045 and 1.6 ft3/s per mile of stream reach. Seepage gains mostly occurred upstream from diversions and the measured seepage-gain rates generally ranged between 0.75 and 5.1 ft3/s per mile of stream reach. Under natural-flow conditions, Honolua Stream is estimated to flow to the ocean less than 80 percent of the time and Honokōwai Stream is estimated to flow to the ocean less than 50 percent of the time. Kahoma Stream, Kauaʻula Stream, Olowalu Stream, and Ukumehame Gulch are estimated to flow to the ocean at least 95 percent of the time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145087","collaboration":"Prepared in cooperation with the State of Hawaiʻi Commission on Water Resource Management","usgsCitation":"Cheng, C.L., 2014, Low-flow characteristics of streams in the Lahaina District, West Maui, Hawai'i: U.S. Geological Survey Scientific Investigations Report 2014-5087, x, 58 p., https://doi.org/10.3133/sir20145087.","productDescription":"x, 58 p.","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-036373","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":289152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145087.jpg"},{"id":289150,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5087/"},{"id":289151,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5087/pdf/sir2014-5087.pdf"}],"projection":"Universal Transverse Mercator projection, zone 4","datum":"North American Datum 1983","country":"United States","state":"Hawai'i","otherGeospatial":"Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.696923,20.780151 ], [ -156.696923,21.031413 ], [ -156.538315,21.031413 ], [ -156.538315,20.780151 ], [ -156.696923,20.780151 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae776ce4b0abf75cf2c120","contributors":{"authors":[{"text":"Cheng, Chui Ling 0000-0003-2396-2571 ccheng@usgs.gov","orcid":"https://orcid.org/0000-0003-2396-2571","contributorId":3926,"corporation":false,"usgs":true,"family":"Cheng","given":"Chui","email":"ccheng@usgs.gov","middleInitial":"Ling","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493406,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70134312,"text":"70134312 - 2014 - Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone","interactions":[],"lastModifiedDate":"2020-12-31T20:21:16.752585","indexId":"70134312","displayToPublicDate":"2014-06-27T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone","title":"Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone","docAbstract":"Across the globe, species distributions are changing in response to climate change and land use change. In parts of the southeastern United States, climate change is expected to result in the poleward range expansion of black mangroves (Avicennia germinans) at the expense of some salt marsh vegetation. The morphology of A. germinans at its northern range limit is more shrub-like than in tropical climes in part due to the aboveground structural damage and vigorous multi-stem regrowth triggered by extreme winter temperatures. In this study, we developed aboveground allometric equations for freeze-affected black mangroves which can be used to quantify: (1) total aboveground biomass; (2) leaf biomass; (3) stem plus branch biomass; and (4) leaf area. Plant volume (i.e., a combination of crown area and plant height) was selected as the optimal predictor of the four response variables. We expect that our simple measurements and equations can be adapted for use in other mangrove ecosystems located in abiotic settings that result in mangrove individuals with dwarf or shrub-like morphologies including oligotrophic and arid environments. Many important ecological functions and services are affected by changes in coastal wetland plant community structure and productivity including carbon storage, nutrient cycling, coastal protection, recreation, fish and avian habitat, and ecosystem response to sea level rise and extreme climatic events. Coastal scientists in the southeastern United States can use the identified allometric equations, in combination with easily obtained and non-destructive plant volume measurements, to better quantify and monitor ecological change within the dynamic, climate sensitive, and highly-productive mangrove-marsh ecotone.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0099604","usgsCitation":"Osland, M.J., Day, R.H., Larriviere, J.C., and From, A.S., 2014, Aboveground allometric models for freeze-affected black mangroves (Avicennia germinans): Equations for a climate sensitive mangrove-marsh ecotone: PLoS ONE, v. 9, no. 6, e99604, 7 p., https://doi.org/10.1371/journal.pone.0099604.","productDescription":"e99604, 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055156","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":472921,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0099604","text":"Publisher Index Page"},{"id":296371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Port Fourchon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.7635498046875,\n 28.924035288388865\n ],\n [\n -89.20074462890625,\n 28.924035288388865\n ],\n [\n -89.20074462890625,\n 29.450360671054415\n ],\n [\n -90.7635498046875,\n 29.450360671054415\n ],\n [\n -90.7635498046875,\n 28.924035288388865\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-06-27","publicationStatus":"PW","scienceBaseUri":"547ee2bae4b09357f05f8a3a","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":525842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":525843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larriviere, Jack C. jlarriviere@usgs.gov","contributorId":5839,"corporation":false,"usgs":true,"family":"Larriviere","given":"Jack","email":"jlarriviere@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":525844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":525845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70114859,"text":"70114859 - 2014 - Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact","interactions":[],"lastModifiedDate":"2014-06-27T10:01:45","indexId":"70114859","displayToPublicDate":"2014-06-27T09:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact","docAbstract":"Intentional introductions of nonindigenous fishes are increasing globally. While benefits of these introductions are easily quantified, assessments to understand the negative impacts to ecosystems are often difficult, incomplete, or absent. Grass carp (Ctenopharyngodon idella) was originally introduced to the United States as a biocontrol agent, and recent observations of wild, diploid individuals in the Great Lakes basin have spurred interest in re-evaluating its ecological risk. Here, we evaluate the ecological impact of grass carp using expert opinion and a suite of the most up-to-date analytical tools and data (ploidy assessment, eDNA surveillance, species distribution models (SDMs), and meta-analysis). The perceived ecological impact of grass carp by fisheries experts was variable, ranging from unknown to very high. Wild-caught triploid and diploid individuals occurred in multiple Great Lakes waterways, and eDNA surveillance suggests that grass carp are abundant in a major tributary of Lake Michigan. SDMs predicted suitable grass carp climate occurs in all Great Lakes. Meta-analysis showed that grass carp introductions impact both water quality and biota. Novel findings based on updated ecological impact assessment tools indicate that iterative risk assessment of introduced fishes may be warranted.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0537","usgsCitation":"Wittmann, M.E., Jerde, C.L., Howeth, J.G., Maher, S.P., Deines, A., Jenkins, J.A., Whitledge, G.W., Burbank, S.B., Chadderton, W.L., Mahon, A., Tyson, J.T., Gantz, C.A., Keller, R.P., Drake, J.M., and Lodge, D.M., 2014, Grass carp in the Great Lakes region: establishment potential, expert perceptions, and re-evaluation of experimental evidence of ecological impact: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 7, p. 992-999, https://doi.org/10.1139/cjfas-2013-0537.","productDescription":"8 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}","volume":"71","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae76e9e4b0abf75cf2c084","contributors":{"authors":[{"text":"Wittmann, Marion E.","contributorId":66988,"corporation":false,"usgs":true,"family":"Wittmann","given":"Marion","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":495424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerde, Christopher L.","contributorId":45608,"corporation":false,"usgs":true,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howeth, Jennifer G.","contributorId":63319,"corporation":false,"usgs":true,"family":"Howeth","given":"Jennifer","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":495422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maher, Sean P.","contributorId":7998,"corporation":false,"usgs":true,"family":"Maher","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deines, Andrew M.","contributorId":94601,"corporation":false,"usgs":true,"family":"Deines","given":"Andrew M.","affiliations":[],"preferred":false,"id":495429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":495418,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whitledge, Gregory W.","contributorId":73110,"corporation":false,"usgs":true,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burbank, Sarah B.","contributorId":69480,"corporation":false,"usgs":true,"family":"Burbank","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":495425,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chadderton, William L.","contributorId":31313,"corporation":false,"usgs":true,"family":"Chadderton","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":495420,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mahon, Andrew R.","contributorId":64131,"corporation":false,"usgs":true,"family":"Mahon","given":"Andrew R.","affiliations":[],"preferred":false,"id":495423,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tyson, Jeffrey T.","contributorId":104433,"corporation":false,"usgs":true,"family":"Tyson","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":495431,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gantz, Crysta A.","contributorId":105647,"corporation":false,"usgs":true,"family":"Gantz","given":"Crysta","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495432,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Keller, Reuben P.","contributorId":98637,"corporation":false,"usgs":true,"family":"Keller","given":"Reuben","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":495430,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Drake, John M.","contributorId":88273,"corporation":false,"usgs":true,"family":"Drake","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495428,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lodge, David M.","contributorId":76622,"corporation":false,"usgs":false,"family":"Lodge","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":495427,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70114217,"text":"ofr20141129 - 2014 - Benthic habitat map of the U.S. Coral Reef Task Force Watershed Partnership Initiative Kā'anapali priority study area and the State of Hawai'i Kahekili Herbivore Fisheries Management Area, west-central Maui, Hawai'i","interactions":[],"lastModifiedDate":"2014-06-27T08:48:20","indexId":"ofr20141129","displayToPublicDate":"2014-06-27T08:36:00","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":"2014-1129","title":"Benthic habitat map of the U.S. Coral Reef Task Force Watershed Partnership Initiative Kā'anapali priority study area and the State of Hawai'i Kahekili Herbivore Fisheries Management Area, west-central Maui, Hawai'i","docAbstract":"Nearshore areas off of west-central Maui, Hawai‘i, once dominated by abundant coral coverage, now are characterized by an increased abundance of turf algae and macroalgae. In an effort to improve the health and resilience of the coral reef system, the Kahekili Herbivore Fisheries Management Area was established by the State of Hawai‘i, and the U.S. Coral Reef Task Force selected the Kā‘anapali region as a priority study area. To support these efforts, the U.S. Geological survey mapped nearly 5 km2 of sea floor from the shoreline to water depths of about 30 m. Unconsolidated sediment (predominantly sand) constitutes 65 percent of the sea floor in the mapped area. Reef and other hardbottom potentially available for coral recruitments constitutes 35 percent of the mapped area. Of this potentially available hardbottom, only 51 percent is covered with a minimum of 10 percent coral, and most is found between 5 and 10 m water depth.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141129","usgsCitation":"Cochran, S., Gibbs, A.E., and White, D.J., 2014, Benthic habitat map of the U.S. Coral Reef Task Force Watershed Partnership Initiative Kā'anapali priority study area and the State of Hawai'i Kahekili Herbivore Fisheries Management Area, west-central Maui, Hawai'i: U.S. Geological Survey Open-File Report 2014-1129, Report: vi, 42 p.; Benthic habitat map: GIS shapefile, https://doi.org/10.3133/ofr20141129.","productDescription":"Report: vi, 42 p.; Benthic habitat map: GIS shapefile","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-054708","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":289115,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1129/"},{"id":289117,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1129/pdf/ofr2014-1129.pdf"},{"id":289118,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2014/1129/downloads/ofr2014-1129_GIS.zip"},{"id":289119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141129.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.739924,20.899512 ], [ -156.739924,20.979972 ], [ -156.670022,20.979972 ], [ -156.670022,20.899512 ], [ -156.739924,20.899512 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7645e4b0abf75cf2bef3","contributors":{"authors":[{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":495277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Darla J.","contributorId":83841,"corporation":false,"usgs":true,"family":"White","given":"Darla","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495278,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70114017,"text":"ofr20141128 - 2014 - Comparison of historical streamflows to 2013 Streamflows in the Williamson, Sprague, and Wood Rivers, Upper Klamath Lake Basin, Oregon","interactions":[],"lastModifiedDate":"2014-07-18T08:23:39","indexId":"ofr20141128","displayToPublicDate":"2014-06-26T15:38:00","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":"2014-1128","title":"Comparison of historical streamflows to 2013 Streamflows in the Williamson, Sprague, and Wood Rivers, Upper Klamath Lake Basin, Oregon","docAbstract":"In 2013, the Upper Klamath Lake Basin, Oregon, experienced a dry spring, resulting in an executive order declaring a state of drought emergency in Klamath County. The 2013 drought limited the water supply and led to a near-total cessation of surface-water diversions for irrigation above Upper Klamath Lake once regulation was implemented. These conditions presented a unique opportunity to understand the effects of water right regulation on streamflows.
\nThe effects of regulation of diversions were evaluated by comparing measured 2013 streamflow with data from hydrologically similar years. Years with spring streamflow similar to that in 2013 measured at the Sprague River gage at Chiloquin from water years 1973 to 2012 were used to define a Composite Index Year (CIY; with diversions) for comparison to measured 2013 streamflows (no diversions). The best-fit 6 years (1977, 1981, 1990, 1991, 1994, and 2001) were used to determine the CIY.
\nTwo streams account for most of the streamflow into Upper Klamath Lake: the Williamson and Wood Rivers. Most streamflow into the lake is from the Williamson River Basin, which includes the Sprague River. Because most of the diversion regulation affecting the streamflow of the Williamson River occurred in the Sprague River Basin, and because of uncertainties about historical flows in a major diversion above the Williamson River gage, streamflow data from the Sprague River were used to estimate the change in streamflow from regulation of diversions for the Williamson River Basin. Changes in streamflow outside of the Sprague River Basin were likely minor relative to total streamflow.
\nThe effect of diversion regulation was evaluated using the “Baseflow Method,” which compared 2013 baseflow to baseflow of the CIY. The Baseflow Method reduces the potential effects of summer precipitation events on the calculations. A similar method using streamflow produced similar results, however, despite at least one summer precipitation event. The result of the analysis estimates that streamflow from the Williamson River Basin to Upper Klamath Lake increased by approximately 14,100 acre-feet between July 1 and September 30 relative to prior dry years as a result of regulation of surface-water diversions in 2013.
\nQuantifying the change in streamflow from regulation of diversion for the Wood River Basin was likely less accurate due to a lack of long-term streamflow data. An increase in streamflow from regulation of diversions in the Wood River Basin of roughly 5,500 acre-feet was estimated by comparing the average August and September streamflow in 2013 with historical August and September streamflow.
\nSumming the results of the estimated streamflow gain of the Williamson River Basin (14,100 acre-feet) and Wood River (5,500 acre-feet) gives a total estimated increase in streamflow into Upper Klamath Lake resulting from the July 1–September 2013 regulation of diversions of approximately 19,600 acre-feet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141128","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hess, G.W., and Stonewall, A., 2014, Comparison of historical streamflows to 2013 Streamflows in the Williamson, Sprague, and Wood Rivers, Upper Klamath Lake Basin, Oregon: U.S. Geological Survey Open-File Report 2014-1128, iv, 23 p., https://doi.org/10.3133/ofr20141128.","productDescription":"iv, 23 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-053100","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":289113,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1128/pdf/ofr2014-1128.pdf"},{"id":289114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141128.jpg"},{"id":289112,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1128/"}],"scale":"1000000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,42.333333 ], [ -122.0,42.833333 ], [ -120.5,42.833333 ], [ -120.5,42.333333 ], [ -122.0,42.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d6e4b0729c154181a2","contributors":{"authors":[{"text":"Hess, Glen W.","contributorId":19136,"corporation":false,"usgs":true,"family":"Hess","given":"Glen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":495230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":2699,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam J.","email":"stonewal@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058442,"text":"sim3245 - 2014 - Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars","interactions":[],"lastModifiedDate":"2023-03-16T19:19:53.492781","indexId":"sim3245","displayToPublicDate":"2014-06-26T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3245","title":"Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars","docAbstract":"Mars Transverse Mercator (MTM) –30247, –35247, and –40247 quadrangles cover a portion of southern Hesperia Planum and the highlands of eastern Promethei Terra, east of the Hellas basin. The map area (lat 27.5–42.5° S., long 110–115° E.) consists of cratered ancient highland materials of moderate relief, isolated knobs and massifs of rugged mountainous materials, extensive tracts of plains, and surficial deposits. Waikato and Reull Valles extend through plains and highland terrains. Regional slopes are generally to the southwest toward the Hellas basin, but local slopes (for example, highlands to plains) dominate the landscape.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3245","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Mest, S.C., and Crown, D., 2014, Geologic map of MTM -30247, -35247, and -40247 quadrangles, Reull Vallis region of Mars: U.S. Geological Survey Scientific Investigations Map 3245, Map: 58.0 x 42.0 inches; Pamphlet: i, 20 p.; GIS: ZIP; Readme; Metadata: TXT; Metadata: XML, https://doi.org/10.3133/sim3245.","productDescription":"Map: 58.0 x 42.0 inches; Pamphlet: i, 20 p.; GIS: ZIP; Readme; Metadata: TXT; Metadata: XML","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-042446","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":438763,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SF385I","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3245 Geologic Map of MTM -30247, -35247, and -40247 Quadrangles, Reull Vallis Region of Mars"},{"id":289110,"rank":8,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3245.jpg"},{"id":414303,"rank":9,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9SF385I","text":"Interactive map","linkHelpText":"- Geologic Map of MTM –30247, –35247, and –40247 Quadrangles, Reull Vallis Region of Mars 1:1M. Mest and Crown (2014)"},{"id":289109,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_metadata.xml"},{"id":289108,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_metadata.txt"},{"id":289107,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_readme.txt"},{"id":289103,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3245/"},{"id":289104,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3245/pdf/sim3245_map.pdf"},{"id":289106,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3245/downloads/sim3245_GIS.zip"},{"id":289105,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3245/pdf/sim3245_pamphlet.pdf"}],"scale":"1000000","projection":"Transverse Mercator Projection","otherGeospatial":"Mars; Reull Vallis Region","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d8e4b0729c154181a8","contributors":{"authors":[{"text":"Mest, Scott C.","contributorId":96375,"corporation":false,"usgs":true,"family":"Mest","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":487050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crown, David A.","contributorId":102582,"corporation":false,"usgs":true,"family":"Crown","given":"David A.","affiliations":[],"preferred":false,"id":487051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70099902,"text":"sir20145058 - 2014 - Floods of 2011 in New York","interactions":[],"lastModifiedDate":"2014-06-30T08:53:42","indexId":"sir20145058","displayToPublicDate":"2014-06-26T14:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5058","title":"Floods of 2011 in New York","docAbstract":"Record rainfall combined with above-average temperatures and substantial spring snowmelt resulted in record flooding throughout New York during 2011. Rainfall totals in eastern New York were the greatest since 1895 and as much as 60 percent above the long-term average within the Catskill Mountains area and the Susquehanna River Basin. This report documents the three largest storms and resultant flooding during the year: (1) spring storm during April and May, (2) Tropical Storm Irene during August, and (3) remnants of Tropical Storm Lee during September. According to the Federal Emergency Management Agency (FEMA), the cost of these three storms exceeded $1 billion in Federal disaster assistance.
\nA warm and wet spring in northern New York resulted in record flooding at 21 U.S. Geological Survey (USGS) active streamgages during late April to early May with the annual exceedance probabilities (AEPs) of 11 peak discharges equaling or exceeding 1 percent. Nearly 5 inches of rain during late April combined with a rapidly melting snowpack caused widespread flooding throughout northern New York, resulting in many road closures, millions of dollars in damages, and 23 counties declared disaster areas and eligible for public assistance. On May 6, Lake Champlain recorded its highest lake level in over 140 years.
\nHurricane Irene entered New York State on August 28 as a tropical storm and traveled up the eastern corridor of the State, leaving a path of destruction and damage never seen in many parts of New York. Thirty-one counties in New York were declared disaster areas with damages of over $1.3 billion dollars and 10 reported deaths. Storm rainfall exceeded 18 inches in the Catskill Mountains area of southeastern New York with many other areas of eastern New York receiving over 7 inches. Catastrophic flooding resulted from the extreme rainfall in many locations, including Schoharie Creek and its tributaries, the eastern Delaware River Basin, the Ausable and Bouquet River Basins in northeastern New York, and several other stream basins throughout southeastern New York. Downstream reaches of the Mohawk River also had substantial flooding. Sixty-two USGS streamgages throughout eastern New York documented record high stream flows and elevations with AEPs of 25 peak discharges equaling or exceeding 1 percent. The USGS streamgage for the Schoharie Creek at Prattsville recorded its greatest peak discharge in 109 years of record at 120,000 cubic feet per second (greater than the 0.2-percent AEP discharge) on August 28. The peak water-surface elevation at the streamgage in Prattsville was 5 feet higher than its previous record in 1996. USGS personnel surveyed 184 high-water marks (HWMs) at 30 locations along an 84-mile reach of Schoharie Creek and compared the elevations to those published by FEMA for the 10-, 2-, 1-, and 0.2-percent AEP floods. Elevations in the lower reaches of the basin exceeded published elevations for the 0.2-percent AEP flood.
\nRemnants of Tropical Storm Lee brought a third major storm to New York in September 2011. Moisture from Lee began moving into New York on September 7 and intensified over the already saturated Susquehanna River Basin. Most of the rain fell on September 8 with storm totals nearing 13 inches in some areas (12.73 inches at Apalachin in Tioga County). Major disaster declarations were issued for 15 counties in and around central New York, making them eligible for individual or public assistance. Ten USGS streamgages within the Susquehanna River Basin documented record-high stream discharges and elevations on September 8, and all were greater than the 1-percent AEP discharge. USGS personnel surveyed 20 HWMs at 18 locations along a 114- mile reach of the Susquehanna River and compared the elevations to those published by FEMA for the 10-, 2-, 1-, and 0.2-percent AEP floods. Several of the surveyed HWMs exceeded published elevations for the 0.2-percent AEP flood.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145058","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Lumia, R., Firda, G.D., and Smith, T., 2014, Floods of 2011 in New York: U.S. Geological Survey Scientific Investigations Report 2014-5058, Report: xii, 235 p.; 5 Plates: 36.0 x 30.0 inches, https://doi.org/10.3133/sir20145058.","productDescription":"Report: xii, 235 p.; 5 Plates: 36.0 x 30.0 inches","numberOfPages":"252","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-050803","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":289096,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5058/pdf/sir2014-5058.pdf"},{"id":289095,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5058/"},{"id":289097,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig02.pdf"},{"id":289098,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig27.pdf"},{"id":289099,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig11.pdf"},{"id":289100,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig31.pdf"},{"id":289101,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5058/sheets/sir2014-5058_fig53.pdf"},{"id":289102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145058.jpg"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.7621,40.496 ], [ -79.7621,45.0159 ], [ -71.8563,45.0159 ], [ -71.8563,40.496 ], [ -79.7621,40.496 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d8e4b0729c154181a6","contributors":{"authors":[{"text":"Lumia, Richard rlumia@usgs.gov","contributorId":4579,"corporation":false,"usgs":true,"family":"Lumia","given":"Richard","email":"rlumia@usgs.gov","affiliations":[],"preferred":true,"id":492053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Firda, Gary D. gfirda@usgs.gov","contributorId":1552,"corporation":false,"usgs":true,"family":"Firda","given":"Gary","email":"gfirda@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":492052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Travis L. tlsmith@usgs.gov","contributorId":4805,"corporation":false,"usgs":true,"family":"Smith","given":"Travis L.","email":"tlsmith@usgs.gov","affiliations":[],"preferred":true,"id":492054,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70114649,"text":"70114649 - 2014 - Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus Cryptotis (Mammalia, Soricidae)","interactions":[],"lastModifiedDate":"2014-06-26T13:44:23","indexId":"70114649","displayToPublicDate":"2014-06-26T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2394,"text":"Journal of Morphology","active":true,"publicationSubtype":{"id":10}},"title":"Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus Cryptotis (Mammalia, Soricidae)","docAbstract":"Small-eared shrews (Mammalia: Soricidae: Cryptotis), exhibit modifications of the forelimb skeleton that have been interpreted as adaptations for semifossoriality. Most species inhabit remote regions, however, and their locomotory and foraging behaviors remain mostly speculative. To better understand the morphological modifications in the absence of direct observations, we quantified variation in these species by measuring 151 individuals representing 18 species and populations of Cryptotis and two species of moles (Talpidae) for comparison. From our measurements, we calculated 22 indices, most of which have been used previously to characterize substrate use among rodents and other taxa. We analyzed the indices using 1) average percentile ranks, 2) principal components analysis, and 3) cluster analysis. From these analyses, we determined that three basic modes of substrate adaptation are present within Cryptotis: 1) a primarily terrestrial mode, with species that are capable of burrowing, but lack adaptations to increase digging efficiency, 2) a semifossorial mode, with species whose forelimbs bones show strong muscle attachment areas and increased mechanical advantage, and 3) an intermediate mode. In addition to identifying new morphological characters and contributing to our understanding of the functional morphology of soricids, these analyses provide additional insight into the ecology of the species of interest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Morphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1002/jmor.20254","usgsCitation":"Woodman, N., and Gaffney, S.A., 2014, Can they dig it? Functional morphology and semifossoriality among small-eared shrews, genus Cryptotis (Mammalia, Soricidae): Journal of Morphology, v. 275, no. 7, p. 745-759, https://doi.org/10.1002/jmor.20254.","productDescription":"15 p.","startPage":"745","endPage":"759","numberOfPages":"15","ipdsId":"IP-051998","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":289092,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jmor.20254"},{"id":289093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-01-28","publicationStatus":"PW","scienceBaseUri":"53ad32d6e4b0729c154181a0","chorus":{"doi":"10.1002/jmor.20254","url":"http://dx.doi.org/10.1002/jmor.20254","publisher":"Wiley-Blackwell","authors":"Woodman Neal, Gaffney Sarah A.","journalName":"Journal of Morphology","publicationDate":"1/28/2014"},"contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":495392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaffney, Sarah A.","contributorId":94219,"corporation":false,"usgs":true,"family":"Gaffney","given":"Sarah","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70114640,"text":"70114640 - 2014 - A multiscale assessment of tree avoidance by prairie birds","interactions":[],"lastModifiedDate":"2014-06-26T13:11:32","indexId":"70114640","displayToPublicDate":"2014-06-26T12:55:00","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":"A multiscale assessment of tree avoidance by prairie birds","docAbstract":"In North America, grassland bird abundances have declined, likely as a result of loss and degradation of prairie habitat. Given the expense and limited opportunity to procure new grasslands, managers are increasingly focusing on ways to improve existing habitat for grassland birds, using techniques such as tree removal. To examine the potential for tree removal to benefit grassland birds, we conducted 446 point counts on 35 grassland habitat patches in the highly fragmented landscape of west-central Minnesota during 2009–2011. We modeled density of four grassland bird species in relation to habitat composition at multiple scales, focusing on covariates that described grass, woody vegetation (trees and large shrubs), or combinations of grass and woody vegetation. The best-supported models for all four grassland bird species incorporated variables measured at multiple scales, including local features such as grass height, litter depth, and local tree abundance, as well as landscape-level measures of grass and tree cover. Savannah Sparrows (Passerculus sandwichensis), Sedge Wrens (Cistothorus platensis), and Bobolinks (Dolichonyx oryzivorus) responded consistently and negatively to woody vegetation, but response to litter depth, grass height, and grassland extent were mixed among species. Our results suggest that reducing shrub and tree cover is more likely to increase the density of grassland birds than are attempts to improve grass quality or quantity. In particular, tree removal is more likely to increase density of Savannah Sparrows and Sedge Wrens than any reasonable changes in grass quality or quantity. Yet tree removal may not result in increased abundance of grassland birds if habitat composition is not considered at multiple scales. Managers will need to either manage at large scales (80–300 ha) or focus their efforts on removing trees in landscapes that contain some grasslands but few nearby wooded areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-13-072.1","usgsCitation":"Thompson, S.J., Arnold, T.W., and Amundson, C.L., 2014, A multiscale assessment of tree avoidance by prairie birds: The Condor, v. 116, no. 3, p. 303-315, https://doi.org/10.1650/CONDOR-13-072.1.","productDescription":"13 p.","startPage":"303","endPage":"315","numberOfPages":"13","ipdsId":"IP-053994","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-13-072.1","text":"Publisher Index Page"},{"id":289089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289088,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-072.1"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"116","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d3e4b0729c1541819a","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":495389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":495390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":495388,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70101200,"text":"sir20145069 - 2014 - Assessment of metal and trace element contamination in water, sediment, plants, macroinvertebrates, and fish in Tavasci Marsh, Tuzigoot National Monument, Arizona","interactions":[],"lastModifiedDate":"2017-01-25T10:35:33","indexId":"sir20145069","displayToPublicDate":"2014-06-26T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5069","title":"Assessment of metal and trace element contamination in water, sediment, plants, macroinvertebrates, and fish in Tavasci Marsh, Tuzigoot National Monument, Arizona","docAbstract":"Tavasci Marsh is a large freshwater marsh within the Tuzigoot National Monument in central Arizona. It is the largest freshwater marsh in Arizona that is unconnected to the Colorado River and is designated as an Important Bird Area by the Audubon Society. The marsh has been altered significantly by previous land use and the monument’s managers are evaluating the restoration of the marsh. In light of historical mining activities located near the marsh from the first half of the 20th century, evaluations of water, sediment, plant, and aquatic biota in the marsh were conducted. The evaluations were focused on nine metals and trace elements commonly associated with mining and other anthropogenic activities (As, Cd, Cr, Cu, Hg, Ni, Pb, Se, and Zn) together with isotopic analyses to understand the presence, sources and timing of water and sediment contaminants to the marsh and the occurrence in aquatic plants, dragonfly larvae, and fish.
\nResults of water analyses indicate that there were two distinct sources of water contributing to the marsh during the study: one from older high elevation recharge entering the marsh at Shea Spring (as well as a number of unnamed seeps and springs on the northeastern edge of the marsh) and the other from younger low elevation recharge or from Pecks Lake. Water concentrations for arsenic exceeded the U.S. Environmental Protection Agency primary drinking water standard of 10 μg/L at all sampling sites. Surface waters at Tavasci Marsh may contain conditions favorable for methylmercury production.
\nAll surficial and core sediment samples exceeded or were within sample concentration variability of at least one threshold sediment quality guideline for As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn. Several sediment sites were also above or were within sample concentration variability of severe or probable effect sediment quality guidelines for As, Cd, and Cu. Three sediment cores collected in the marsh have greater metal and trace element concentrations at depth for Bi, Cd, Cu, Hg, In, Pb, Sb, Sn, Te, and Zn. Radioisotope dating indicates that the elevated metal and trace element concentrations are associated with sediments deposited before 1963.
\nArsenic concentration was greater in cattail roots compared with surrounding sediment at Tavasci Marsh. Concentrations of As, Ni, and Se from yellow bullhead catfish (Ameiurus natalis) in Tavasci Marsh exceeded the 75th percentile of several other regional studies. Mercury concentration in dragonfly larvae and fish from Tavasci Marsh were similar to or greater than in Tavasci Marsh sediment. Future work includes a biologic risk assessment utilizing the data collected in this study to provide the monument management with additional information for their restoration plan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145069","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Beisner, K.R., Paretti, N., Brasher, A., Fuller, C.C., and Miller, M.P., 2014, Assessment of metal and trace element contamination in water, sediment, plants, macroinvertebrates, and fish in Tavasci Marsh, Tuzigoot National Monument, Arizona: U.S. Geological Survey Scientific Investigations Report 2014-5069, Report: viii, 72 p.; Appendixes A-D, https://doi.org/10.3133/sir20145069.","productDescription":"Report: viii, 72 p.; Appendixes A-D","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042985","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":289084,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixB_sediment.xlsx","text":"Appendix B"},{"id":289085,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixC_plant.xlsx","text":"Appendix C"},{"id":289086,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixD_biota.xlsx","text":"Appendix D"},{"id":289087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145069.jpg"},{"id":289081,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5069/"},{"id":289082,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5069/pdf/sir2014-5069.pdf"},{"id":289083,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5069/downloads/sir2014-5069_appendixA_water.xlsx","text":"Appendix A"}],"country":"United States","state":"Arizona","otherGeospatial":"Tavasci Marsh, Tuzigoot National Monument","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.03811,34.768911 ], [ -112.03811,34.78724 ], [ -112.006095,34.78724 ], [ -112.006095,34.768911 ], [ -112.03811,34.768911 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d5e4b0729c1541819e","contributors":{"authors":[{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. nparetti@usgs.gov","contributorId":802,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas V.","email":"nparetti@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":492645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":492642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70059146,"text":"ofr20131294 - 2014 - Review and bibliometric analysis of published literature citing data produced by the Gap Analysis Program (GAP)","interactions":[],"lastModifiedDate":"2014-06-26T11:47:43","indexId":"ofr20131294","displayToPublicDate":"2014-06-26T11:45:00","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":"2013-1294","title":"Review and bibliometric analysis of published literature citing data produced by the Gap Analysis Program (GAP)","docAbstract":"The Gap Analysis Program (GAP) of the U.S. Geological Survey (USGS) produces geospatial datasets providing information on land cover, predicted species distributions, stewardship (ownership and conservation status), and an analysis dataset which synthesizes the other three datasets. The intent in providing these datasets is to support the conservation of biodiversity. The datasets are made available at no cost. The initial datasets were created at the state level. More recent datasets have been assembled at regional and national levels.
\nGAP entered an agreement with the Policy Analysis and Science Assistance branch of the USGS to conduct an evaluation to describe the effect that using GAP data has on those who utilize the datasets (GAP users). The evaluation project included multiple components: a discussion regarding use of GAP data conducted with participants at a GAP conference, a literature review of publications that cited use of GAP data, and a survey of GAP users. The findings of the published literature search were used to identify topics to include on the survey.
\nThis report summarizes the literature search, the characteristics of the resulting set of publications, the emergent themes from statements made regarding GAP data, and a bibliometric analysis of the publications. We cannot claim that this list includes all publications that have used GAP data. Given the time lapse that is common in the publishing process, more recent datasets may be cited less frequently in this list of publications. Reports or products that used GAP data may be produced but never published in print or released online. In that case, our search strategies would not have located those reports. Authors may have used GAP data but failed to cite it in such a way that the search strategies we used would have located those publications. These are common issues when using a literature search as part of an evaluation project. Although the final list of publications we identified is not comprehensive, this set of publications can be considered a sufficient sample of those citing GAP data and suitable for the descriptive analyses we conducted.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131294","usgsCitation":"Ratz, J., and Conk, S.J., 2014, Review and bibliometric analysis of published literature citing data produced by the Gap Analysis Program (GAP): U.S. Geological Survey Open-File Report 2013-1294, iii, 117 p., https://doi.org/10.3133/ofr20131294.","productDescription":"iii, 117 p.","numberOfPages":"120","onlineOnly":"Y","ipdsId":"IP-038174","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":289077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131294.jpg"},{"id":289075,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1294/"},{"id":289076,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1294/pdf/ofr2013-1294.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad32d9e4b0729c154181ac","contributors":{"authors":[{"text":"Ratz, Joan M.","contributorId":22739,"corporation":false,"usgs":true,"family":"Ratz","given":"Joan M.","affiliations":[],"preferred":false,"id":487496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conk, Shannon J.","contributorId":21516,"corporation":false,"usgs":true,"family":"Conk","given":"Shannon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70114616,"text":"70114616 - 2014 - A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival","interactions":[],"lastModifiedDate":"2014-06-26T10:55:01","indexId":"70114616","displayToPublicDate":"2014-06-26T10:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival","docAbstract":"While the ecology and evolution of partial migratory systems (defined broadly to include skip spawning) have been well studied, we are only beginning to understand how partial migratory populations are responding to ongoing environmental change. Environmental change can lead to differences in the fitness of residents and migrants, which could eventually lead to changes in the frequency of the strategies in the overall population. Here, we address questions concerning the life history of the endangered Gila cypha (humpback chub) in the regulated Colorado River and the unregulated tributary and primary spawning area, the Little Colorado River. We develop eight multistate models for the population based on three movement hypotheses, in which states are defined in terms of fish size classes and river locations. We fit these models to mark–recapture data collected in 2009–2012. We compare survival and growth estimates between the Colorado River and Little Colorado River and calculate abundances for all size classes. The best model supports the hypotheses that larger adults spawn more frequently than smaller adults, that there are residents in the spawning grounds, and that juveniles move out of the Little Colorado River in large numbers during the monsoon season (July–September). Monthly survival rates for G. cypha in the Colorado River are higher than in the Little Colorado River in all size classes; however, growth is slower. While the hypothetical life histories of life-long residents in the Little Colorado River and partial migrants spending most of its time in the Colorado River are very different, they lead to roughly similar fitness expectations when we used expected number of spawns as a proxy. However, more research is needed because our study period covers a period of years when conditions in the Colorado River for G. cypha are likely to have been better than has been typical over the last few decades.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd.","doi":"10.1002/ece3.990","usgsCitation":"Yackulic, C.B., Yard, M., Korman, J., and Van Haverbeke, D., 2014, A quantitative life history of endangered humpback chub that spawn in the Little Colorado River: variation in movement, growth, and survival: Ecology and Evolution, v. 4, no. 7, p. 1006-1018, https://doi.org/10.1002/ece3.990.","productDescription":"13 p.","startPage":"1006","endPage":"1018","numberOfPages":"13","ipdsId":"IP-046001","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.990","text":"Publisher Index Page"},{"id":289074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289073,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.990"}],"country":"United States","otherGeospatial":"Colorado River;Little Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.920471,36.073522 ], [ -111.920471,36.375962 ], [ -111.498184,36.375962 ], [ -111.498184,36.073522 ], [ -111.920471,36.073522 ] ] ] } } ] }","volume":"4","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-02-28","publicationStatus":"PW","scienceBaseUri":"53ad32d4e4b0729c1541819c","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":8577,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","affiliations":[],"preferred":false,"id":495352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":29922,"corporation":false,"usgs":true,"family":"Korman","given":"Josh","affiliations":[],"preferred":false,"id":495353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Haverbeke, David R.","contributorId":83838,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":495354,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173903,"text":"70173903 - 2014 - A semi-automated method of monitoring dam passage of American Eels Anguilla rostrata","interactions":[],"lastModifiedDate":"2016-06-15T12:34:13","indexId":"70173903","displayToPublicDate":"2014-06-26T10:15:00","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":"A semi-automated method of monitoring dam passage of American Eels Anguilla rostrata","docAbstract":"Fish passage facilities at dams have become an important focus of fishery management in riverine systems. Given the personnel and travel costs associated with physical monitoring programs, automated or semi-automated systems are an attractive alternative for monitoring fish passage facilities. We designed and tested a semi-automated system for eel ladder monitoring at Millville Dam on the lower Shenandoah River, West Virginia. A motion-activated eel ladder camera (ELC) photographed each yellow-phase American Eel Anguilla rostrata that passed through the ladder. Digital images (with date and time stamps) of American Eels allowed for total daily counts and measurements of eel TL using photogrammetric methods with digital imaging software. We compared physical counts of American Eels with camera-based counts; TLs obtained with a measuring board were compared with TLs derived from photogrammetric methods. Data from the ELC were consistent with data obtained by physical methods, thus supporting the semi-automated camera system as a viable option for monitoring American Eel passage. Time stamps on digital images allowed for the documentation of eel passage time—data that were not obtainable from physical monitoring efforts. The ELC has application to eel ladder facilities but can also be used to monitor dam passage of other taxa, such as crayfishes, lampreys, and water snakes.
","language":"English","publisher":"Taylor and Francis","publisherLocation":"Abingdon, England","doi":"10.1080/02755947.2014.910580","usgsCitation":"Welsh, S., and Aldinger, J.L., 2014, A semi-automated method of monitoring dam passage of American Eels Anguilla rostrata: North American Journal of Fisheries Management, v. 34, no. 4, p. 702-709, https://doi.org/10.1080/02755947.2014.910580.","productDescription":"8 p.","startPage":"702","endPage":"709","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053279","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-12","publicationStatus":"PW","scienceBaseUri":"57627c2ce4b07657d19a69bb","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":639013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldinger, Joni L.","contributorId":171886,"corporation":false,"usgs":false,"family":"Aldinger","given":"Joni","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639020,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70112161,"text":"ofr20141108 - 2014 - Landsat and water: case studies of the uses and benefits of landsat imagery in water resources","interactions":[],"lastModifiedDate":"2014-06-26T10:16:32","indexId":"ofr20141108","displayToPublicDate":"2014-06-26T10:05:00","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":"2014-1108","title":"Landsat and water: case studies of the uses and benefits of landsat imagery in water resources","docAbstract":"The Landsat program has been collecting and archiving moderate resolution earth imagery since 1972. The number of Landsat users and uses has increased exponentially since the enactment of a free and open data policy in 2008, which made data available free of charge to all users. Benefits from the information Landsat data provides vary from improving environmental quality to protecting public health and safety and informing decision makers such as consumers and producers, government officials and the public at large. Although some studies have been conducted, little is known about the total benefit provided by open access Landsat imagery.
\nThis report contains a set of case studies focused on the uses and benefits of Landsat imagery. The purpose of these is to shed more light on the benefits accrued from Landsat imagery and to gain a better understanding of the program’s value. The case studies tell a story of how Landsat imagery is used and what its value is to different private and public entities. Most of the case studies focus on the use of Landsat in water resource management, although some other content areas are included.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141108","usgsCitation":"Serbina, L.O., and Miller, H.M., 2014, Landsat and water: case studies of the uses and benefits of landsat imagery in water resources: U.S. Geological Survey Open-File Report 2014-1108, xii, 61 p., https://doi.org/10.3133/ofr20141108.","productDescription":"xii, 61 p.","numberOfPages":"73","onlineOnly":"Y","ipdsId":"IP-052473","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":289072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141108.jpg"},{"id":289070,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1108/"},{"id":289071,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1108/pdf/ofr2014-1108.pdf"}],"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":"53b7b193e4b0388651d917de","contributors":{"authors":[{"text":"Serbina, Larisa O. lserbina@usgs.gov","contributorId":5474,"corporation":false,"usgs":true,"family":"Serbina","given":"Larisa","email":"lserbina@usgs.gov","middleInitial":"O.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":494571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":29544,"corporation":false,"usgs":true,"family":"Miller","given":"Holly","email":"millerh@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":494572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}