This report is the product of a 2013 cooperative agreement between the U.S. Geological Survey, the International Joint Commission, and the Maine Bureau of Sea Run Fisheries and Habitat to quantify the effects of meteorological conditions (from 1970 through 2008) on the survival of smallmouth bass (Micropterus dolomieu) in the first year of life in Spednic Lake. This report documents the data and methods used to estimate historical daily mean lake surface-water temperatures from early spring through late autumn, which were used to estimate the dates of smallmouth bass spawning, young-of-the-year growth, and probable strength of each year class. Mortality of eggs and fry in nests was modeled and estimated to exceed 10 percent in 17 of 39 years; during those years, cold temperatures in the early part of the spawning period resulted in mortality to fish that were estimated to have had the longest growing season and attain the greatest length. Modeled length-dependent overwinter survival combined with early mortality identified 1986, 1994, 1996, and 2004 as the years in which temperature was likely to have presented the greatest challenge to year-class strength in the Spednic Lake fishery. Age distribution of bass in fisheries on lakes in the St. Croix and surrounding watersheds confirmed that conditions in 1986 and 1996 resulted in weak smallmouth bass year classes (age-four or age-five bass representing less than 15 percent of a 100-fish sample).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145164","collaboration":"Prepared in cooperation with the International Joint Commission St. Croix River Watershed Board and the Maine Bureau of Sea Run Fisheries and Habitat","usgsCitation":"Dudley, R.W., and Trial, J.G., 2014, Estimates of growth and mortality of under-yearling smallmouth bass in Spednic Lake, from 1970 through 2008: U.S. Geological Survey Scientific Investigations Report 2014-5164, v, 15 p., https://doi.org/10.3133/sir20145164.","productDescription":"v, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1970-01-01","temporalEnd":"2008-12-31","ipdsId":"IP-057932","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":295830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145164.jpg"},{"id":295761,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5164/"},{"id":295762,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5164/pdf/sir2014-5164.pdf","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"Canada, United States","state":"Maine","otherGeospatial":"Spednic Lake","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5459eaa1e4b009f8aec96fda","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trial, Joan G.","contributorId":91156,"corporation":false,"usgs":true,"family":"Trial","given":"Joan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":519252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133182,"text":"70133182 - 2014 - Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","interactions":[],"lastModifiedDate":"2020-12-31T20:25:13.964435","indexId":"70133182","displayToPublicDate":"2014-11-01T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","title":"Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska","docAbstract":"The Ross’s gull (Rhodostethia rosea) is a poorly known seabird of the circumpolar Arctic. The only place in the world where Ross’s gulls are known to congregate is in the near-shore waters around Point Barrow, Alaska, where they undertake an annual passage in late fall. Ross’s gulls seen at Point Barrow are presumed to originate from nesting colonies in Siberia, but neither their origin nor their destination has been confirmed. Current estimates of the global population of Ross’s gulls are based largely on expert opinion, and the only reliable population estimate is derived from extrapolations from previous counts conducted at Point Barrow, but these data are now over 25 years old. In order to update and clarify the status of this species in Alaska, our study quantified the timing, number, and flight direction of Ross’s gulls passing Point Barrow in 2011. We recorded up to two-thirds of the estimated global population of Ross’s gulls (≥27,000 individuals) over 39 days with numbers peaking on 16 October when we observed over 7,000 birds during a 3-h period.
","language":"English","publisher":"Springer","doi":"10.1007/s00300-014-1552-4","usgsCitation":"Maftei, M., Davis, S.E., Uher-Koch, B.D., Gesmundo, C., Suydam, R., and Mallory, M.L., 2014, Quantifying fall migration of Ross's gulls (Rhodostethia rosea) past Point Barrow, Alaska: Polar Biology, v. 37, no. 11, p. 1705-1710, https://doi.org/10.1007/s00300-014-1552-4.","productDescription":"6 p.","startPage":"1705","endPage":"1710","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056953","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Point Barrow","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.3626708984375,\n 71.21430638639127\n ],\n [\n -155.665283203125,\n 71.21430638639127\n ],\n [\n -155.665283203125,\n 71.60134862675986\n ],\n [\n -157.3626708984375,\n 71.60134862675986\n ],\n [\n -157.3626708984375,\n 71.21430638639127\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-07-31","publicationStatus":"PW","scienceBaseUri":"5465d636e4b04d4b7dbd6641","contributors":{"authors":[{"text":"Maftei, Mark","contributorId":127435,"corporation":false,"usgs":false,"family":"Maftei","given":"Mark","email":"","affiliations":[],"preferred":false,"id":525152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Shanti E.","contributorId":127436,"corporation":false,"usgs":false,"family":"Davis","given":"Shanti","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":525151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":524850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gesmundo, Callie","contributorId":127437,"corporation":false,"usgs":false,"family":"Gesmundo","given":"Callie","email":"","affiliations":[],"preferred":false,"id":525153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suydam, R.S.","contributorId":74213,"corporation":false,"usgs":true,"family":"Suydam","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":525154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mallory, Mark L.","contributorId":127438,"corporation":false,"usgs":false,"family":"Mallory","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":525155,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138189,"text":"70138189 - 2014 - An objective and parsimonious approach for classifying natural flow regimes at a continental scale","interactions":[],"lastModifiedDate":"2015-01-15T12:44:06","indexId":"70138189","displayToPublicDate":"2014-11-01T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An objective and parsimonious approach for classifying natural flow regimes at a continental scale","docAbstract":"Hydro-ecological stream classification-the process of grouping streams by similar hydrologic responses and, by extension, similar aquatic habitat-has been widely accepted and is considered by some to be one of the first steps towards developing ecological flow targets. A new classification of 1543 streamgauges in the contiguous USA is presented by use of a novel and parsimonious approach to understand similarity in ecological streamflow response. This novel classification approach uses seven fundamental daily streamflow statistics (FDSS) rather than winnowing down an uncorrelated subset from 200 or more ecologically relevant streamflow statistics (ERSS) commonly used in hydro-ecological classification studies. The results of this investigation demonstrate that the distributions of 33 tested ERSS are consistently different among the classification groups derived from the seven FDSS. It is further shown that classification based solely on the 33 ERSS generally does a poorer job in grouping similar streamgauges than the classification based on the seven FDSS. This new classification approach has the additional advantages of overcoming some of the subjectivity associated with the selection of the classification variables and provides a set of robust continental-scale classes of US streamgauges. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2710","collaboration":"USGS National Water Census","usgsCitation":"Archfield, S.A., Kennen, J., Carlisle, D.M., and Wolock, D.M., 2014, An objective and parsimonious approach for classifying natural flow regimes at a continental scale: River Research and Applications, v. 30, no. 9, p. 1166-1183, https://doi.org/10.1002/rra.2710.","productDescription":"18 p.","startPage":"1166","endPage":"1183","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050605","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":297295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297285,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/rra.2710/full"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"54dd2b30e4b08de9379b329e","contributors":{"authors":[{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":538563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":538565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":538566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156785,"text":"70156785 - 2014 - Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts","interactions":[],"lastModifiedDate":"2015-08-31T10:51:57","indexId":"70156785","displayToPublicDate":"2014-11-01T12:00:00","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":"Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts","docAbstract":"The Coastal Storm Modeling System (CoSMoS) applies a predominantly deterministic framework to make detailed predictions (meter scale) of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales (100s of kilometers). CoSMoS was developed for hindcast studies, operational applications (i.e., nowcasts and multiday forecasts), and future climate scenarios (i.e., sea-level rise + storms) to provide emergency responders and coastal planners with critical storm hazards information that may be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. The prototype system, developed for the California coast, uses the global WAVEWATCH III wave model, the TOPEX/Poseidon satellite altimetry-based global tide model, and atmospheric-forcing data from either the US National Weather Service (operational mode) or Global Climate Models (future climate mode), to determine regional wave and water-level boundary conditions. These physical processes are dynamically downscaled using a series of nested Delft3D-WAVE (SWAN) and Delft3D-FLOW (FLOW) models and linked at the coast to tightly spaced XBeach (eXtreme Beach) cross-shore profile models and a Bayesian probabilistic cliff failure model. Hindcast testing demonstrates that, despite uncertainties in preexisting beach morphology over the ~500 km alongshore extent of the pilot study area, CoSMoS effectively identifies discrete sections of the coast (100s of meters) that are vulnerable to coastal hazards under a range of current and future oceanographic forcing conditions, and is therefore an effective tool for operational and future climate scenario planning.
","language":"English","publisher":"International Society for the Prevention and Mitigation of Natural Hazards","publisherLocation":"Dordrecht","doi":"10.1007/s11069-014-1236-y","usgsCitation":"Barnard, P., van Ormondt, M., Erikson, L., Eshleman, J., Hapke, C.J., Peter Ruggiero, Adams, P., and Foxgrover, A.C., 2014, Development of the Coastal Storm Modeling System (CoSMoS) for predicting the impact of storms on high-energy, active-margin coasts: Natural Hazards, v. 74, no. 2, p. 1095-1125, https://doi.org/10.1007/s11069-014-1236-y.","productDescription":"31 p.","startPage":"1095","endPage":"1125","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054533","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-21","publicationStatus":"PW","scienceBaseUri":"55e57aace4b05561fa20868b","contributors":{"authors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Ormondt, Maarten","contributorId":147148,"corporation":false,"usgs":false,"family":"van Ormondt","given":"Maarten","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":570536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":147149,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":570537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eshleman, Jodi","contributorId":147150,"corporation":false,"usgs":false,"family":"Eshleman","given":"Jodi","email":"","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":570538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":570539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peter Ruggiero","contributorId":147151,"corporation":false,"usgs":false,"family":"Peter Ruggiero","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":570540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Peter","contributorId":147152,"corporation":false,"usgs":false,"family":"Adams","given":"Peter","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":570541,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":570542,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70155173,"text":"70155173 - 2014 - Lattice Boltzmann methods applied to large-scale three-dimensional virtual cores constructed from digital optical borehole images of the karst carbonate Biscayne aquifer in southeastern Florida","interactions":[],"lastModifiedDate":"2015-07-31T10:48:13","indexId":"70155173","displayToPublicDate":"2014-11-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"seriesNumber":"2015-1133","title":"Lattice Boltzmann methods applied to large-scale three-dimensional virtual cores constructed from digital optical borehole images of the karst carbonate Biscayne aquifer in southeastern Florida","docAbstract":"Digital optical borehole images at approximately 2 mm vertical resolution and borehole caliper data were used to create three-dimensional renderings of the distribution of (1) matrix porosity and (2) vuggy megaporosity for the karst carbonate Biscayne aquifer in southeastern Florida. The renderings based on the borehole data were used as input into Lattice Boltzmann methods to obtain intrinsic permeability estimates for this extremely transmissive aquifer, where traditional aquifer test methods may fail due to very small drawdowns and non-Darcian flow that can reduce apparent hydraulic conductivity. Variogram analysis of the borehole data suggests a nearly isotropic rock structure at lag lengths up to the nominal borehole diameter. A strong correlation between the diameter of the borehole and the presence of vuggy megaporosity in the data set led to a bias in the variogram where the computed horizontal spatial autocorrelation is strong at lag distances greater than the nominal borehole size. Lattice Boltzmann simulation of flow across a 0.4 × 0.4 × 17 m (2.72 m3 volume) parallel-walled column of rendered matrix and vuggy megaporosity indicates a high hydraulic conductivity of 53 m s−1. This value is similar to previous Lattice Boltzmann calculations of hydraulic conductivity in smaller limestone samples of the Biscayne aquifer. The development of simulation methods that reproduce dual-porosity systems with higher resolution and fidelity and that consider flow through horizontally longer renderings could provide improved estimates of the hydraulic conductivity and help to address questions about the importance of scale.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2014WR015465","collaboration":"None","usgsCitation":"Michael Sukop, and Cunningham, K.J., 2014, Lattice Boltzmann methods applied to large-scale three-dimensional virtual cores constructed from digital optical borehole images of the karst carbonate Biscayne aquifer in southeastern Florida: Water Resources Research, v. 50, no. 11, p. 8807-8825, https://doi.org/10.1002/2014WR015465.","productDescription":"19 p.","startPage":"8807","endPage":"8825","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049416","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":472657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr015465","text":"Publisher Index Page"},{"id":306287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"11","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"55bc9c2de4b033ef52100f2f","contributors":{"authors":[{"text":"Michael Sukop","contributorId":145653,"corporation":false,"usgs":false,"family":"Michael Sukop","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":564970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":564969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70132337,"text":"70132337 - 2014 - Guiding out-migrating juvenile sea lamprey (Petromyzon marinus) with pulsed direct current","interactions":[],"lastModifiedDate":"2020-12-31T20:54:59.443922","indexId":"70132337","displayToPublicDate":"2014-11-01T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Guiding out-migrating juvenile sea lamprey (Petromyzon marinus) with pulsed direct current","title":"Guiding out-migrating juvenile sea lamprey (Petromyzon marinus) with pulsed direct current","docAbstract":"Non‐physical stimuli can deter or guide fish without affecting water flow or navigation and therefore have been investigated to improve fish passage at anthropogenic barriers and to control movement of invasive fish. Upstream fish migration can be blocked or guided without physical structure by electrifying the water, but directional downstream fish guidance with electricity has received little attention. We tested two non‐uniform pulsed direct current electric systems, each having different electrode orientations (vertical versus horizontal), to determine their ability to guide out‐migrating juvenile sea lamprey (Petromyzon marinus) and rainbow trout (Oncorhynchus mykiss). Both systems guided significantly more juvenile sea lamprey to a specific location in our experimental raceway when activated than when deactivated, but guidance efficiency decreased at the highest water velocities tested. At the electric field setting that effectively guided sea lamprey, rainbow trout were guided by the vertical electrode system, but most were blocked by the horizontal electrode system. Additional research should characterize the response of other species to non‐uniform fields of pulsed DC and develop electrode configurations that guide fish over a range of water velocity. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2703","usgsCitation":"Johnson, N.S., and Miehls, S.M., 2014, Guiding out-migrating juvenile sea lamprey (Petromyzon marinus) with pulsed direct current: River Research and Applications, v. 30, no. 9, p. 1146-1156, https://doi.org/10.1002/rra.2703.","productDescription":"11 p.","startPage":"1146","endPage":"1156","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049198","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":296064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-02","publicationStatus":"PW","scienceBaseUri":"5465d632e4b04d4b7dbd65e4","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522810,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135072,"text":"70135072 - 2014 - Wave-driven sediment mobilization on a storm-controlled continental shelf (Northwest Iberia)","interactions":[],"lastModifiedDate":"2021-01-07T18:46:09.71468","indexId":"70135072","displayToPublicDate":"2014-11-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Wave-driven sediment mobilization on a storm-controlled continental shelf (Northwest Iberia)","docAbstract":"Seafloor sediment mobilization on the inner Northwest Iberian continental shelf is caused largely by ocean surface waves. The temporal and spatial variability in the wave height, wave period, and wave direction has a profound effect on local sediment mobilization, leading to distinct sediment mobilization scenarios. Six grain-size specific sediment mobilization scenarios, representing seasonal average and storm conditions, were simulated with a physics-based numerical model. Model inputs included meteorological and oceanographic data in conjunction with seafloor grain-size and the shelf bathymetric data. The results show distinct seasonal variations, most importantly in wave height, leading to sediment mobilization, specifically on the inner shelf shallower than 30 m water depth where up to 49% of the shelf area is mobilized. Medium to severe storm events are modeled to mobilize up to 89% of the shelf area above 150 m water depth. The frequency of each of these seasonal and storm-related sediment mobilization scenarios is addressed using a decade of meteorological and oceanographic data. The temporal and spatial patterns of the modeled sediment mobilization scenarios are discussed in the context of existing geological and environmental processes and conditions to assist scientific, industrial and environmental efforts that are directly affected by sediment mobilization. Examples, where sediment mobilization plays a vital role, include seafloor nutrient advection, recurrent arrival of oil from oil-spill-laden seafloor sediment, and bottom trawling impacts.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.jmarsys.2014.07.018","usgsCitation":"Oberle, F., Storlazzi, C., and Hanebuth, T., 2014, Wave-driven sediment mobilization on a storm-controlled continental shelf (Northwest Iberia): Journal of Marine Systems, v. 139, p. 362-372, https://doi.org/10.1016/j.jmarsys.2014.07.018.","productDescription":"11 p.","startPage":"362","endPage":"372","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061568","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":296503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Portugal, Spain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -10.78857421875,\n 40.58058466412761\n ],\n [\n -7.75634765625,\n 40.58058466412761\n ],\n [\n -7.75634765625,\n 43.35713822211053\n ],\n [\n -10.78857421875,\n 43.35713822211053\n ],\n [\n -10.78857421875,\n 40.58058466412761\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"139","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54882b66e4b02acb4f0c8c5a","contributors":{"authors":[{"text":"Oberle, Ferdinand 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":127792,"corporation":false,"usgs":false,"family":"Oberle","given":"Ferdinand","affiliations":[{"id":7156,"text":"MARUM – Center for Marine Environmental Sciences, University of Bremen","active":true,"usgs":false}],"preferred":false,"id":526779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanebuth, Till","contributorId":127793,"corporation":false,"usgs":false,"family":"Hanebuth","given":"Till","affiliations":[{"id":7156,"text":"MARUM – Center for Marine Environmental Sciences, University of Bremen","active":true,"usgs":false}],"preferred":false,"id":526780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134754,"text":"70134754 - 2014 - Energy demands for maintenance, growth, pregnancy, and lactation of female Pacific walruses (Odobenus rosmarus divergens)","interactions":[],"lastModifiedDate":"2018-06-16T17:45:00","indexId":"70134754","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3075,"text":"Physiological and Biochemical Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Energy demands for maintenance, growth, pregnancy, and lactation of female Pacific walruses (Odobenus rosmarus divergens)","docAbstract":"Decreases in sea ice have altered habitat use and activity patterns of female Pacific walruses Odobenus rosmarus divergens and could affect their energetic demands, reproductive success, and population status. However, a lack of physiological data from walruses has hampered efforts to develop the bioenergetics models required for fully understanding potential population-level impacts. We analyzed long-term longitudinal data sets of caloric consumption and body mass from nine female Pacific walruses housed at six aquaria using a hierarchical Bayesian approach to quantify relative energetic demands for maintenance, growth, pregnancy, and lactation. By examining body mass fluctuations in response to food consumption, the model explicitly uncoupled caloric demand from caloric intake. This is important for pinnipeds because they sequester and deplete large quantities of lipids throughout their lifetimes. Model outputs were scaled to account for activity levels typical of free-ranging Pacific walruses, averaging 83% of the time active in water and 17% of the time hauled-out resting. Estimated caloric requirements ranged from 26,900 kcal d−1 for 2-yr-olds to 93,370 kcal d−1 for simultaneously lactating and pregnant walruses. Daily consumption requirements were higher for pregnancy than lactation, reflecting energetic demands of increasing body size and lipid deposition during pregnancy. Although walruses forage during lactation, fat sequestered during pregnancy sustained 27% of caloric requirements during the first month of lactation, suggesting that walruses use a mixed strategy of capital and income breeding. Ultimately, this model will aid in our understanding of the energetic and population consequences of sea ice loss.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/678237","usgsCitation":"Noren, S.R., Udevitz, M.S., and Jay, C.V., 2014, Energy demands for maintenance, growth, pregnancy, and lactation of female Pacific walruses (Odobenus rosmarus divergens): Physiological and Biochemical Zoology, v. 87, no. 6, p. 837-854, https://doi.org/10.1086/678237.","productDescription":"18 p.","startPage":"837","endPage":"854","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049042","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5482e545e4b0aa6d77853002","contributors":{"authors":[{"text":"Noren, Shawn R.","contributorId":127697,"corporation":false,"usgs":false,"family":"Noren","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":526372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144505,"text":"70144505 - 2014 - Identifying hazards associated with lava deltas","interactions":[],"lastModifiedDate":"2019-03-13T09:55:44","indexId":"70144505","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Identifying hazards associated with lava deltas","docAbstract":"Lava deltas, formed where lava enters the ocean and builds a shelf of new land extending from the coastline, represent a significant local hazard, especially on populated ocean island volcanoes. Such structures are unstable and prone to collapse—events that are often accompanied by small explosions that can deposit boulders and cobbles hundreds of meters inland. Explosions that coincide with collapses of the East Lae ‘Apuki lava delta at Kīlauea Volcano, Hawai‘i, during 2005–2007 followed an evolutionary progression mirroring that of the delta itself. A collapse that occurred when the lava–ocean entry was active was associated with a blast of lithic blocks and dispersal of spatter and fine, glassy tephra. Shortly after delta growth ceased, a collapse exposed hot rock to cold ocean water, resulting in an explosion composed entirely of lithic blocks and lapilli. Further collapse of the delta after several months of inactivity, by which time it had cooled significantly, resulted in no recognizable explosion deposit. Seaward displacement and subsidence of the coastline immediately inland of the delta was measured by both satellite and ground-based sensors and occurred at rates of several centimeters per month even after the lava–ocean entry had ceased. The anomalous deformation ended only after complete collapse of the delta. Monitoring of ground deformation may therefore provide an indication of the potential for delta collapse, while the hazard associated with collapse can be inferred from the level of activity, or the time since the last activity, on the delta.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-014-0880-0","usgsCitation":"Poland, M.P., and Orr, T.R., 2014, Identifying hazards associated with lava deltas: Bulletin of Volcanology, v. 76, no. 12, 880; 10 p., https://doi.org/10.1007/s00445-014-0880-0.","productDescription":"880; 10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057409","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":299204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"551bc52ce4b0323842783a4c","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":543665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. torr@usgs.gov","contributorId":139620,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":543666,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137561,"text":"70137561 - 2014 - Diverse coral communities in mangrove habitats suggest a novel refuge from climate change","interactions":[],"lastModifiedDate":"2015-01-09T13:56:32","indexId":"70137561","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Diverse coral communities in mangrove habitats suggest a novel refuge from climate change","docAbstract":"Risk analyses indicate that more than 90% of the world's reefs will be threatened by climate change and local anthropogenic impacts by the year 2030 under \"business-as-usual\" climate scenarios. Increasing temperatures and solar radiation cause coral bleaching that has resulted in extensive coral mortality. Increasing carbon dioxide reduces seawater pH, slows coral growth, and may cause loss of reef structure. Management strategies include establishment of marine protected areas with environmental conditions that promote reef resiliency. However, few resilient reefs have been identified, and resiliency factors are poorly defined.
\nHere we characterize the first natural, non-reef coral refuge from thermal stress and ocean acidification and identify resiliency factors for mangrove–coral habitats. We measured diurnal and seasonal variations in temperature, salinity, photosynthetically active radiation (PAR), and seawater chemistry; characterized substrate parameters; and examined water circulation patterns in mangrove communities where scleractinian corals are growing attached to and under mangrove prop roots in Hurricane Hole, St. John, US Virgin Islands. Additionally, we inventoried the coral species and quantified incidences of coral bleaching, mortality, and recovery for two major reef-building corals, Colpophyllia natans and Diploria labyrinthiformis, growing in mangrove-shaded and exposed (unshaded) areas.
\nOver 30 species of scleractinian corals were growing in association with mangroves. Corals were thriving in low-light (more than 70% attenuation of incident PAR) from mangrove shading and at higher temperatures than nearby reef tract corals. A higher percentage of C. natans colonies were living shaded by mangroves, and no shaded colonies were bleached. Fewer D. labyrinthiformis colonies were shaded by mangroves, however more unshaded colonies were bleached. A combination of substrate and habitat heterogeneity, proximity of different habitat types, hydrographic conditions, and biological influences on seawater chemistry generate chemical conditions that buffer against ocean acidification. This previously undocumented refuge for corals provides evidence for adaptation of coastal organisms and ecosystem transition due to recent climate change. Identifying and protecting other natural, non-reef coral refuges is critical for sustaining corals and other reef species into the future.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-11-4321-2014","usgsCitation":"Yates, K.K., Rogers, C.S., Herlan, J.J., Brooks, G., Smiley, N., and Larson, R.A., 2014, Diverse coral communities in mangrove habitats suggest a novel refuge from climate change: Biogeosciences, v. 11, p. 4321-4337, https://doi.org/10.5194/bg-11-4321-2014.","productDescription":"17 p.","startPage":"4321","endPage":"4337","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053538","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-11-4321-2014","text":"Publisher Index Page"},{"id":297109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-19","publicationStatus":"PW","scienceBaseUri":"54dd2b7fe4b08de9379b33b8","contributors":{"authors":[{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Caroline S. 0000-0001-9056-6961 caroline_rogers@usgs.gov","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":3126,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","email":"caroline_rogers@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":537907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herlan, James J. jherlan@usgs.gov","contributorId":4768,"corporation":false,"usgs":true,"family":"Herlan","given":"James","email":"jherlan@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":537908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Gregg R.","contributorId":95112,"corporation":false,"usgs":false,"family":"Brooks","given":"Gregg R.","affiliations":[{"id":7149,"text":"College of Marine Science, University of South Florida, St. Petersburg, FL","active":true,"usgs":false}],"preferred":false,"id":537909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smiley, Nathan A. 0000-0002-5190-6860 nsmiley@usgs.gov","orcid":"https://orcid.org/0000-0002-5190-6860","contributorId":3907,"corporation":false,"usgs":true,"family":"Smiley","given":"Nathan A.","email":"nsmiley@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, Rebekka A.","contributorId":24890,"corporation":false,"usgs":false,"family":"Larson","given":"Rebekka","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":537911,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70147344,"text":"70147344 - 2014 - Analysis of projected water availability with current basin management plan, Pajaro Valley, California","interactions":[],"lastModifiedDate":"2015-04-30T10:49:52","indexId":"70147344","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of projected water availability with current basin management plan, Pajaro Valley, California","docAbstract":"The projection and analysis of the Pajaro Valley Hydrologic Model (PVHM) 34 years into the future using MODFLOW with the Farm Process (MF-FMP) facilitates assessment of potential future water availability. The projection is facilitated by the integrated hydrologic model, MF-FMP that fully couples the simulation of the use and movement of water from precipitation, streamflow, runoff, groundwater flow, and consumption by natural and agricultural vegetation throughout the hydrologic system at all times. MF-FMP allows for more complete analysis of conjunctive-use water-resource systems than previously possible with MODFLOW by combining relevant aspects of the landscape with the groundwater and surface-water components. This analysis is accomplished using distributed cell-by-cell supply-constrained and demand-driven components across the landscape within “water-balance subregions” (WBS) comprised of one or more model cells that can represent a single farm, a group of farms, watersheds, or other hydrologic or geopolitical entities. Analysis of conjunctive use would be difficult without embedding the fully coupled supply-and-demand into a fully coupled simulation, and are difficult to estimate a priori.
\nThe analysis of projected supply and demand for the Pajaro Valley indicate that the current water supply facilities constructed to provide alternative local sources of supplemental water to replace coastal groundwater pumpage, but may not completely eliminate additional overdraft. The simulation of the coastal distribution system (CDS) replicates: 20 miles of conveyance pipeline, managed aquifer recharge and recovery (MARR) system that captures local runoff, and recycled-water treatment facility (RWF) from urban wastewater, along with the use of other blend water supplies, provide partial relief and substitution for coastal pumpage (aka in-lieu recharge). The effects of these Basin Management Plan (BMP) projects were analyzed subject to historical climate variations and assumptions of 2009 urban water demand and land use. Water supplied directly from precipitation, and indirectly from reuse, captured local runoff, and groundwater is necessary but inadequate to satisfy agricultural demand without coastal and regional storage depletion that facilitates seawater intrusion. These facilities reduce potential seawater intrusion by about 45% with groundwater levels in the four regions served by the CDS projected to recover to levels a few feet above sea level. The projected recoveries are not high enough to prevent additional seawater intrusion during dry-year periods or in the deeper aquifers where pumpage is greater. While these facilities could reduce coastal pumpage by about 55% of the historical 2000–2009 pumpage for these regions, and some of the water is delivered in excess of demand, other coastal regions continue to create demands on coastal pumpage that will need to be replaced to reduce seawater intrusion. In addition, inland urban and agricultural demands continue to sustain water levels below sea level causing regional landward gradients that also drive seawater intrusion. Seawater intrusion is reduced by about 45% but it supplies about 55% of the recovery of groundwater levels in the coastal regions served by the CDS. If economically feasible, water from summer agricultural runoff and tile-drain returnflows could be another potential local source of water that, if captured and reused, could offset the imbalance between supply and demand as well as reducing discharge of agricultural runoff into the National Marine Sanctuary of Monterey Bay. A BMP update (2012) identifies projects and programs that will fund a conservation program and will provide additional, alternative water sources to reduce or replace coastal and inland pumpage, and to replenish the aquifers with managed aquifer recharge in an inland portion of the Pajaro Valley.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.07.005","usgsCitation":"Hanson, R.T., Lockwood, B., and Schmid, W., 2014, Analysis of projected water availability with current basin management plan, Pajaro Valley, California: Journal of Hydrology: Regional Studies, v. 519, no. A, p. 131-147, https://doi.org/10.1016/j.jhydrol.2014.07.005.","productDescription":"17 p.","startPage":"131","endPage":"147","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041544","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":299982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pajaro Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.84112548828125,\n 36.797739040981085\n ],\n [\n -121.84112548828125,\n 36.89005557519409\n ],\n [\n -121.70654296874999,\n 36.89005557519409\n ],\n [\n -121.70654296874999,\n 36.797739040981085\n ],\n [\n -121.84112548828125,\n 36.797739040981085\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"519","issue":"A","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55435229e4b0a658d794149f","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockwood, Brian","contributorId":80202,"corporation":false,"usgs":true,"family":"Lockwood","given":"Brian","email":"","affiliations":[],"preferred":false,"id":545831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Wolfgang","contributorId":84020,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","affiliations":[{"id":13040,"text":"Department of Hydrology and Water Resources, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":545832,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70136277,"text":"70136277 - 2014 - Does lake size matter? Combining morphology and process modeling to examine the contribution of lake classes to population-scale processes","interactions":[],"lastModifiedDate":"2015-08-19T09:14:55","indexId":"70136277","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Does lake size matter? Combining morphology and process modeling to examine the contribution of lake classes to population-scale processes","docAbstract":"With lake abundances in the thousands to millions, creating an intuitive understanding of the distribution of morphology and processes in lakes is challenging. To improve researchers’ understanding of large-scale lake processes, we developed a parsimonious mathematical model based on the Pareto distribution to describe the distribution of lake morphology (area, perimeter and volume). While debate continues over which mathematical representation best fits any one distribution of lake morphometric characteristics, we recognize the need for a simple, flexible model to advance understanding of how the interaction between morphometry and function dictates scaling across large populations of lakes. These models make clear the relative contribution of lakes to the total amount of lake surface area, volume, and perimeter. They also highlight the critical thresholds at which total perimeter, area and volume would be evenly distributed across lake size-classes have Pareto slopes of 0.63, 1 and 1.12, respectively. These models of morphology can be used in combination with models of process to create overarching “lake population” level models of process. To illustrate this potential, we combine the model of surface area distribution with a model of carbon mass accumulation rate. We found that even if smaller lakes contribute relatively less to total surface area than larger lakes, the increasing carbon accumulation rate with decreasing lake size is strong enough to bias the distribution of carbon mass accumulation towards smaller lakes. This analytical framework provides a relatively simple approach to upscaling morphology and process that is easily generalizable to other ecosystem processes.
","language":"English","publisher":"Freshwater Biological Association","doi":"10.5268/IW-5.1.740","usgsCitation":"Winslow, L.A., Read, J.S., Hanson, P.C., and Stanley, E.H., 2014, Does lake size matter? Combining morphology and process modeling to examine the contribution of lake classes to population-scale processes: Inland Waters, v. 5, p. 7-14, https://doi.org/10.5268/IW-5.1.740.","productDescription":"8 p.","startPage":"7","endPage":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051175","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":306908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d5a8aee4b0518e3546a4bb","contributors":{"authors":[{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":537277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":537276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":537278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":537279,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70146007,"text":"70146007 - 2014 - Efficacy of plastic mesh tubes in reducing herbivory damage by the invasive nutria (Myocastor coypus) in an urban restoration site","interactions":[],"lastModifiedDate":"2018-01-07T17:02:29","indexId":"70146007","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of plastic mesh tubes in reducing herbivory damage by the invasive nutria (Myocastor coypus) in an urban restoration site","docAbstract":"The restoration of stream corridors is becoming an increasingly important component of urban landscape planning, and the high cost of these projects necessitates the need to understand and address potential ecological obstacles to project success. The nutria(Myocastor coypus) is an invasive, semi-aquatic rodent native to South America that causes detrimental ecological impacts in riparian and wetland habitats throughout its introduced range, and techniques are needed to reduce nutria herbivory damage to urban stream restoration projects. We assessed the efficacy of standard Vexar® plastic mesh tubes in reducing nutria herbivory damage to newly established woody plants. The study was conducted in winter-spring 2009 at Delta Ponds, a 60-ha urban waterway in Eugene, Oregon. Woody plants protected by Vexar® tubes demonstrated 100% survival over the 3-month initial establishment period, while only 17% of unprotected plantings survived. Nutria demonstrated a preference for black cottonwood (Populus balsamifera ssp trichocarpa) over red osier dogwood (Cornussericea) and willow (Salix spp). Camera surveillance showed that nutria were more active in unprotected rather than protected treatments. Our results suggest that Vexar® plastic mesh tubing can be an effective short-term herbivory mitigation tool when habitat use by nutria is low. Additionally, planting functionally equivalent woody plant species that are less preferred by nutria, and other herbivores, may be another method for reducing herbivory and improving revegetation success. This study highlights the need to address potential wildlife damage conflicts in the planning process for stream restoration in urban landscapes.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.088.0403","usgsCitation":"Sheffels, T.R., Systma, M.D., Carter, J., and Taylor, J.D., 2014, Efficacy of plastic mesh tubes in reducing herbivory damage by the invasive nutria (Myocastor coypus) in an urban restoration site: Northwest Science, v. 88, no. 4, p. 269-279, https://doi.org/10.3955/046.088.0403.","productDescription":"11 p.","startPage":"269","endPage":"279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046381","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":299585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","city":"Eugene","otherGeospatial":"Delta Ponds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.11124801635741,\n 44.07562367724454\n ],\n [\n -123.11124801635741,\n 44.080510242951746\n ],\n [\n -123.1089949607849,\n 44.080510242951746\n ],\n [\n -123.1089949607849,\n 44.07562367724454\n ],\n [\n -123.11124801635741,\n 44.07562367724454\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5528f42ee4b026915857cb10","contributors":{"authors":[{"text":"Sheffels, Trevor R.","contributorId":140176,"corporation":false,"usgs":false,"family":"Sheffels","given":"Trevor","email":"","middleInitial":"R.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":544597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Systma, Mark D.","contributorId":140177,"corporation":false,"usgs":false,"family":"Systma","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":13401,"text":"Portland State University, Portland Oregon","active":true,"usgs":false}],"preferred":false,"id":544598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","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":544596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Jimmy D.","contributorId":140178,"corporation":false,"usgs":false,"family":"Taylor","given":"Jimmy","email":"","middleInitial":"D.","affiliations":[{"id":13402,"text":"USDA APHIS Wildlife Services","active":true,"usgs":false}],"preferred":false,"id":544599,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155250,"text":"70155250 - 2014 - A seasonal agricultural drought forecast system for food-insecure regions of East Africa","interactions":[],"lastModifiedDate":"2017-01-18T11:29:02","indexId":"70155250","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A seasonal agricultural drought forecast system for food-insecure regions of East Africa","docAbstract":" The increasing food and water demands of East Africa's growing population are stressing the region's inconsistent water resources and rain-fed agriculture. More accurate seasonal agricultural drought forecasts for this region can inform better water and agricultural management decisions, support optimal allocation of the region's water resources, and mitigate socio-economic losses incurred by droughts and floods. Here we describe the development and implementation of a seasonal agricultural drought forecast system for East Africa (EA) that provides decision support for the Famine Early Warning Systems Network's science team. We evaluate this forecast system for a region of equatorial EA (2° S to 8° N, and 36° to 46° E) for the March-April-May growing season. This domain encompasses one of the most food insecure, climatically variable and socio-economically vulnerable regions in EA, and potentially the world: this region has experienced famine as recently as 2011.
To assess the agricultural outlook for the upcoming season our forecast system simulates soil moisture (SM) scenarios using the Variable Infiltration Capacity (VIC) hydrologic model forced with climate scenarios for the upcoming season. First, to show that the VIC model is appropriate for this application we forced the model with high quality atmospheric observations and found that the resulting SM values were consistent with the Food and Agriculture Organization's (FAO's) Water Requirement Satisfaction Index (WRSI), an index used by FEWS NET to estimate crop yields. Next we tested our forecasting system with hindcast runs (1993–2012). We found that initializing SM forecasts with start-of-season (5 March) SM conditions resulted in useful SM forecast skill (> 0.5 correlation) at 1-month, and in some cases at 3 month lead times. Similarly, when the forecast was initialized with mid-season (i.e. 5 April) SM conditions the skill until the end-of-season improved. This shows that early-season rainfall is critical for end-of-season outcomes. Finally we show that, in terms of forecasting spatial patterns of SM anomalies, the skill of this agricultural drought forecast system is generally greater (> 0.8 correlation) during drought years. This means that this system might be particularity useful for identifying the events that present the greatest risk to the region.
Disruption of the natural patterns of freshwater flow into estuarine ecosystems occurred in many locations around the world beginning in the twentieth century. To effectively restore these systems, establishing a pre-alteration perspective allows managers to develop science-based restoration targets for salinity and hydrology. This paper describes a process to develop targets based on natural hydrologic functions by coupling paleoecology and regression models using the subtropical Greater Everglades Ecosystem as an example. Paleoecological investigations characterize the circa 1900 CE (pre-alteration) salinity regime in Florida Bay based on molluscan remains in sediment cores. These paleosalinity estimates are converted into time series estimates of paleo-based salinity, stage, and flow using numeric and statistical models. Model outputs are weighted using the mean square error statistic and then combined. Results indicate that, in the absence of water management, salinity in Florida Bay would be about 3 to 9 salinity units lower than current conditions. To achieve this target, upstream freshwater levels must be about 0.25 m higher than indicated by recent observed data, with increased flow inputs to Florida Bay between 2.1 and 3.7 times existing flows. This flow deficit is comparable to the average volume of water currently being diverted from the Everglades ecosystem by water management. The products (paleo-based Florida Bay salinity and upstream hydrology) provide estimates of pre-alteration hydrology and salinity that represent target restoration conditions. This method can be applied to any estuarine ecosystem with available paleoecologic data and empirical and/or model-based hydrologic data.
","language":"English","publisher":"Elsevier","doi":"10.1007/s12237-014-9783-8","usgsCitation":"Marshall, F.E., Wingard, G.L., and Pitts, P.A., 2014, Estimates of natural salinity and hydrology in a subtropical estuarine ecosystem: implications for Greater Everglades restoration: Estuaries and Coasts, v. 37, no. 6, p. 1449-1466, https://doi.org/10.1007/s12237-014-9783-8.","productDescription":"18 p.","startPage":"1449","endPage":"1466","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043059","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":307723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307638,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s12237-014-9783-8"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Bay, Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.64215087890625,\n 25.107984454913446\n ],\n [\n -81.64215087890625,\n 25.91111496561543\n ],\n [\n -80.10406494140625,\n 25.91111496561543\n ],\n [\n -80.10406494140625,\n 25.107984454913446\n ],\n [\n -81.64215087890625,\n 25.107984454913446\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-12","publicationStatus":"PW","scienceBaseUri":"55e57aade4b05561fa208690","contributors":{"authors":[{"text":"Marshall, Frank E.","contributorId":88962,"corporation":false,"usgs":true,"family":"Marshall","given":"Frank","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":570444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":570443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitts, Patrick A.","contributorId":90118,"corporation":false,"usgs":true,"family":"Pitts","given":"Patrick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570445,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70150421,"text":"70150421 - 2014 - Environmental stressors afflicting tailwater stream reaches across the United States","interactions":[],"lastModifiedDate":"2017-05-18T11:48:46","indexId":"70150421","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Environmental stressors afflicting tailwater stream reaches across the United States","docAbstract":"The tailwater is the reach of a stream immediately below an impoundment that is hydrologically, physicochemically and biologically altered by the presence and operation of a dam. The overall goal of this study was to gain a nationwide awareness of the issues afflicting tailwater reaches in the United States. Specific objectives included the following: (i) estimate the percentage of reservoirs that support tailwater reaches with environmental conditions suitable for fish assemblages throughout the year, (ii) identify and quantify major sources of environmental stress in those tailwaters that do support fish assemblages and (iii) identify environmental features of tailwater reaches that determine prevalence of key fish taxa. Data were collected through an online survey of fishery managers. Relative to objective 1, 42% of the 1306 reservoirs included in this study had tailwater reaches with sufficient flow to support a fish assemblage throughout the year. The surface area of the reservoir and catchment most strongly delineated reservoirs maintaining tailwater reaches with or without sufficient flow to support a fish assemblage throughout the year. Relative to objective 2, major sources of environmental stress generally reflected flow variables, followed by water quality variables. Relative to objective 3, zoogeography was the primary factor discriminating fish taxa in tailwaters, followed by a wide range of flow and water quality variables. Results for objectives 1–3 varied greatly among nine geographic regions distributed throughout the continental United States. Our results provide a large-scale view of the effects of reservoirs on tailwater reaches and may help guide research and management needs.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2705","usgsCitation":"Miranda, L.E., and Krogman, R.M., 2014, Environmental stressors afflicting tailwater stream reaches across the United States: River Research and Applications, v. 30, no. 9, p. 1184-1194, https://doi.org/10.1002/rra.2705.","productDescription":"11 p.","startPage":"1184","endPage":"1194","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044822","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.76123046875,\n 49.009050809382046\n ],\n [\n -95.16357421875,\n 49.03786794532644\n ],\n [\n -95.16357421875,\n 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M.","contributorId":143706,"corporation":false,"usgs":false,"family":"Krogman","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556848,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70150320,"text":"70150320 - 2014 - Predicting probability of occurrence and factors affecting distribution and abundance of three Ozark endemic crayfish species at multiple spatial scales","interactions":[],"lastModifiedDate":"2015-07-01T13:04:04","indexId":"70150320","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting probability of occurrence and factors affecting distribution and abundance of three Ozark endemic crayfish species at multiple spatial scales","docAbstract":"Inland fish and fisheries play important roles in ensuring global food security. They provide a crucial source of animal protein and essential micronutrients for local communities, especially in the developing world. Data concerning fisheries production and consumption of freshwater fish are generally inadequately assessed, often leading decision makers to undervalue their importance. Modification of inland waterways for alternative uses of freshwater (particularly dams for hydropower and water diversions for human use) negatively impacts the productivity of inland fisheries for food security at local and regional levels. This paper highlights the importance of inland fisheries to global food security, the challenges they face due to competing demands for freshwater, and possible solutions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gfs.2014.09.005","usgsCitation":"Youn, S., Taylor, W.W., Lynch, A., Cowx, I.G., Beard, T., Bartley, D., and Wu, F., 2014, Inland capture fishery contributions to global food security and threats to their future: Global Food Security, v. 3, no. 3-4, p. 142-148, https://doi.org/10.1016/j.gfs.2014.09.005.","productDescription":"7 p.","startPage":"142","endPage":"148","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058030","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":323947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"3-4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913d0e4b07657d19ff135","contributors":{"authors":[{"text":"Youn, So-Jung","contributorId":166926,"corporation":false,"usgs":false,"family":"Youn","given":"So-Jung","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":620579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":620581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail J. ajlynch@usgs.gov","contributorId":146923,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail J.","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":620580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":620794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":620578,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartley, Devin","contributorId":166934,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","affiliations":[],"preferred":false,"id":620795,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Felicia","contributorId":166935,"corporation":false,"usgs":false,"family":"Wu","given":"Felicia","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":620796,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192918,"text":"70192918 - 2014 - Demographics of piscivorous colonial waterbirds and management implications for ESA-listed salmonids on the Columbia Plateau","interactions":[],"lastModifiedDate":"2017-11-07T13:40:38","indexId":"70192918","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Demographics of piscivorous colonial waterbirds and management implications for ESA-listed salmonids on the Columbia Plateau","docAbstract":"We investigated colony size, productivity, and limiting factors for five piscivorous waterbird species nesting at 18 locations on the Columbia Plateau (Washington) during 2004–2010 with emphasis on species with a history of salmonid (Oncorhynchus spp.) depredation. Numbers of nesting Caspian terns (Hydroprogne caspia) and double-crested cormorants (Phalacrocorax auritus) were stable at about 700–1,000 breeding pairs at five colonies and about 1,200–1,500 breeding pairs at four colonies, respectively. Numbers of American white pelicans (Pelecanus erythrorhynchos) increased at Badger Island, the sole breeding colony for the species on the Columbia Plateau, from about 900 individuals in 2007 to over 2,000 individuals in 2010. Overall numbers of breeding California gulls (Larus californicus) and ring-billed gulls (L. delawarensis) declined during the study, mostly because of the abandonment of a large colony in the mid-Columbia River. Three gull colonies below the confluence of the Snake and Columbia rivers increased substantially, however. Factors that may limit colony size and productivity for piscivorous waterbirds nesting on the Columbia Plateau included availability of suitable nesting habitat, interspecific competition for nest sites, predation, gull kleptoparasitism, food availability, and human disturbance. Based on observed population trends alone, there is little reason to project increased impacts to juvenile salmonid survival from tern and cormorant populations. Additional monitoring and evaluation may be warranted to assess future impacts of the growing Badger Island American white pelican colony and those gull colonies located near mainstem dams or associated with Caspian tern colonies where kleptoparasitism is common.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.088.0408","usgsCitation":"Adkins, J.Y., Lyons, D., Loschl, P.J., Roby, D.D., Collis, K., Evans, A.F., and Hostetter, N.J., 2014, Demographics of piscivorous colonial waterbirds and management implications for ESA-listed salmonids on the Columbia Plateau: Northwest Science, v. 88, no. 4, p. 344-359, https://doi.org/10.3955/046.088.0408.","productDescription":"16 p.","startPage":"344","endPage":"359","ipdsId":"IP-043990","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Columbia Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.31103515625,\n 45.336701909968134\n ],\n [\n -116.91650390625,\n 45.336701909968134\n ],\n [\n -116.91650390625,\n 48.122101028190805\n ],\n [\n -121.31103515625,\n 48.122101028190805\n ],\n [\n -121.31103515625,\n 45.336701909968134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ecf5e4b09af898c8cd38","contributors":{"authors":[{"text":"Adkins, Jessica Y.","contributorId":171820,"corporation":false,"usgs":false,"family":"Adkins","given":"Jessica","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":720965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, Donald E.","contributorId":20119,"corporation":false,"usgs":true,"family":"Lyons","given":"Donald E.","affiliations":[],"preferred":false,"id":720966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loschl, Peter J.","contributorId":7195,"corporation":false,"usgs":true,"family":"Loschl","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collis, Ken","contributorId":149991,"corporation":false,"usgs":false,"family":"Collis","given":"Ken","email":"","affiliations":[{"id":17879,"text":"Real Time Research, Inc., 231 SW Scalehouse Loop, Suite 101, Bend, OR 97702","active":true,"usgs":false}],"preferred":false,"id":720968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, Allen F.","contributorId":171691,"corporation":false,"usgs":false,"family":"Evans","given":"Allen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hostetter, Nathan J.","contributorId":171690,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720970,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188047,"text":"70188047 - 2014 - Evaluation of a model framework to estimate soil and soil organic carbon redistribution by water and tillage using 137Cs in two U.S. Midwest agricultural fields","interactions":[],"lastModifiedDate":"2017-05-30T16:01:43","indexId":"70188047","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a model framework to estimate soil and soil organic carbon redistribution by water and tillage using 137Cs in two U.S. Midwest agricultural fields","docAbstract":"Cultivated lands in the U.S. Midwest have been affected by soil erosion, causing soil organic carbon (SOC) redistribution in the landscape and other environmental and agricultural problems. The importance of SOC redistribution on soil productivity and crop yield, however, is still uncertain. In this study, we used a model framework, which includes the Unit Stream Power-based Erosion Deposition (USPED) and the Tillage Erosion Prediction (TEP) models, to understand the soil and SOC redistribution caused by water and tillage erosion in two agricultural fields in the U.S. Midwest. This model framework was evaluated for different digital elevation model (DEM) spatial resolutions (10-m, 24-m, 30-m, and 56-m) and topographic exponents (m = 1.0–1.6 and n = 1.0–1.3) using soil redistribution rates from 137Cs measurements. The results showed that the aggregated 24-m DEM, m = 1.4 and n = 1.0 for rill erosion, and m = 1.0 and n = 1.0 for sheet erosion, provided the best fit with the observation data at both sites. Moreover, estimated average SOC redistributions were 1.3 ± 9.8 g C m− 2 yr− 1 in field site 1 and 3.6 ± 14.3 g C m− 2 yr− 1 in field site 2. Spatial distribution patterns showed SOC loss (negative values) in the eroded areas and SOC gain (positive value) in the deposition areas. This study demonstrated the importance of the spatial resolution and the topographic exponents to estimate and map soil redistribution and the SOC dynamics throughout the landscape, helping to identify places where erosion and deposition from water and tillage are occurring at high rates. Additional research is needed to improve the application of the model framework for use in local and regional studies where rainfall erosivity and cover management factors vary. Therefore, using this model framework can help to improve the information about the spatial distribution of soil erosion across agricultural landscapes and to gain a better understanding of SOC dynamics within eroding and previously eroded fields.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2014.05.019","usgsCitation":"Young, C.J., Liu, S., Schumacher, J.A., Schumacher, T.E., Kaspar, T.C., McCarty, G.W., Napton, D., and Jaynes, D.B., 2014, Evaluation of a model framework to estimate soil and soil organic carbon redistribution by water and tillage using 137Cs in two U.S. Midwest agricultural fields: Geoderma, v. 232-234, p. 437-448, https://doi.org/10.1016/j.geoderma.2014.05.019.","productDescription":"12 p.","startPage":"437","endPage":"448","ipdsId":"IP-051307","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","volume":"232-234","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c1e4b092b266f10d71","contributors":{"authors":[{"text":"Young, Claudia J. 0000-0002-0859-7206 cyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":2770,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"cyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumacher, Joseph A.","contributorId":192364,"corporation":false,"usgs":false,"family":"Schumacher","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumacher, Thomas E.","contributorId":192365,"corporation":false,"usgs":false,"family":"Schumacher","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":696315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaspar, Thomas C.","contributorId":192366,"corporation":false,"usgs":false,"family":"Kaspar","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":696316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":696317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Napton, Darrell","contributorId":176288,"corporation":false,"usgs":false,"family":"Napton","given":"Darrell","affiliations":[],"preferred":false,"id":696318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jaynes, Dan B.","contributorId":192368,"corporation":false,"usgs":false,"family":"Jaynes","given":"Dan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":696319,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189369,"text":"70189369 - 2014 - Towards understanding the puzzling lack of acid geothermal springs in Tibet (China): Insight from a comparison with Yellowstone (USA) and some active volcanic hydrothermal systems","interactions":[],"lastModifiedDate":"2017-11-08T19:28:34","indexId":"70189369","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Towards understanding the puzzling lack of acid geothermal springs in Tibet (China): Insight from a comparison with Yellowstone (USA) and some active volcanic hydrothermal systems","docAbstract":"Explanations for the lack of acid geothermal springs in Tibet are inferred from a comprehensive hydrochemical comparison of Tibetan geothermal waters with those discharged from Yellowstone (USA) and two active volcanic areas, Nevado del Ruiz (Colombia) and Miravalles (Costa Rica) where acid springs are widely distributed and diversified in terms of geochemical characteristic and origin. For the hydrothermal areas investigated in this study, there appears to be a relationship between the depths of magma chambers and the occurrence of acid, chloride-rich springs formed via direct magmatic fluid absorption. Nevado del Ruiz and Miravalles with magma at or very close to the surface (less than 1–2 km) exhibit very acidic waters containing HCl and H2SO4. In contrast, the Tibetan hydrothermal systems, represented by Yangbajain, usually have fairly deep-seated magma chambers so that the released acid fluids are much more likely to be fully neutralized during transport to the surface. The absence of steam-heated acid waters in Tibet, however, may be primarily due to the lack of a confining layer (like young impermeable lavas at Yellowstone) to separate geothermal steam from underlying neutral chloride waters and the possible scenario that the deep geothermal fluids below Tibet carry less H2S than those below Yellowstone.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2014.10.005","usgsCitation":"Nordstrom, D.K., Guo, Q., and McCleskey, R.B., 2014, Towards understanding the puzzling lack of acid geothermal springs in Tibet (China): Insight from a comparison with Yellowstone (USA) and some active volcanic hydrothermal systems: Journal of Volcanology and Geothermal Research, v. 288, p. 94-104, https://doi.org/10.1016/j.jvolgeores.2014.10.005.","productDescription":"11 p.","startPage":"94","endPage":"104","ipdsId":"IP-055718","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, United States","otherGeospatial":"Tibet, Yellowstone National Park","volume":"288","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b625e4b0d1f9f05b3848","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":704403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Qinghai","contributorId":194511,"corporation":false,"usgs":false,"family":"Guo","given":"Qinghai","email":"","affiliations":[],"preferred":false,"id":704404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":704405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70136365,"text":"70136365 - 2014 - Effects of distributed and centralized stormwater best management practices and land cover on urban stream hydrology at the catchment scale","interactions":[],"lastModifiedDate":"2014-12-30T14:59:09","indexId":"70136365","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of distributed and centralized stormwater best management practices and land cover on urban stream hydrology at the catchment scale","docAbstract":"Urban stormwater runoff remains an important issue that causes local and regional-scale water quantity and quality issues. Stormwater best management practices (BMPs) have been widely used to mitigate runoff issues, traditionally in a centralized manner; however, problems associated with urban hydrology have remained. An emerging trend is implementation of BMPs in a distributed manner (multi-BMP treatment trains located on the landscape and integrated with urban design), but little catchment-scale performance of these systems have been reported to date. Here, stream hydrologic data (March, 2011–September, 2012) are evaluated in four catchments located in the Chesapeake Bay watershed: one utilizing distributed stormwater BMPs, two utilizing centralized stormwater BMPs, and a forested catchment serving as a reference. Among urban catchments with similar land cover, geology and BMP design standards (i.e. 100-year event), but contrasting placement of stormwater BMPs, distributed BMPs resulted in: significantly greater estimated baseflow, a higher minimum precipitation threshold for stream response and maximum discharge increases, better maximum discharge control for small precipitation events, and reduced runoff volume during an extreme (1000-year) precipitation event compared to centralized BMPs. For all catchments, greater forest land cover and less impervious cover appeared to be more important drivers than stormwater BMP spatial pattern, and caused lower total, stormflow, and baseflow runoff volume; lower maximum discharge during typical precipitation events; and lower runoff volume during an extreme precipitation event. Analysis of hydrologic field data in this study suggests that both the spatial distribution of stormwater BMPs and land cover are important for management of urban stormwater runoff. In particular, catchment-wide application of distributed BMPs improved stream hydrology compared to centralized BMPs, but not enough to fully replicate forested catchment stream hydrology. Integrated planning of stormwater management, protected riparian buffers and forest land cover with suburban development in the distributed-BMP catchment enabled multi-purpose use of land that provided esthetic value and green-space, community gathering points, and wildlife habitat in addition to hydrologic stormwater treatment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.07.007","usgsCitation":"Loperfido, J.V., Noe, G., Jarnagin, S.T., and Hogan, D.M., 2014, Effects of distributed and centralized stormwater best management practices and land cover on urban stream hydrology at the catchment scale: Journal of Hydrology, v. 519, no. Part C, p. 2584-2595, https://doi.org/10.1016/j.jhydrol.2014.07.007.","productDescription":"12 p.","startPage":"2584","endPage":"2595","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038949","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":296947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"519","issue":"Part C","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b89e4b08de9379b33e6","contributors":{"authors":[{"text":"Loperfido, John V. jloperfido@usgs.gov","contributorId":4324,"corporation":false,"usgs":true,"family":"Loperfido","given":"John","email":"jloperfido@usgs.gov","middleInitial":"V.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":537442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":537441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnagin, S. Taylor","contributorId":131134,"corporation":false,"usgs":false,"family":"Jarnagin","given":"S.","email":"","middleInitial":"Taylor","affiliations":[{"id":7258,"text":"Landscape Ecology Branch, U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":537443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":2299,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":537440,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188050,"text":"70188050 - 2014 - Understanding the hydrologic sources and sinks in the Nile Basin using multisource climate and remote sensing data sets","interactions":[],"lastModifiedDate":"2017-05-30T15:10:08","indexId":"70188050","displayToPublicDate":"2014-11-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the hydrologic sources and sinks in the Nile Basin using multisource climate and remote sensing data sets","docAbstract":"In this study, we integrated satellite-drived precipitation and modeled evapotranspiration data (2000–2012) to describe spatial variability of hydrologic sources and sinks in the Nile Basin. Over 2000–2012 period, 4 out of 11 countries (Ethiopia, Tanzania, Kenya, and Uganda) in the Nile Basin showed a positive water balance while three downstream countries (South Sudan, Sudan, and Egypt) showed a negative balance. Gravity Recovery and Climate Experiment (GRACE) mass deviation in storage data analysis showed that at annual timescales, the Nile Basin storage change is substantial while over longer time periods, it is minimal (<1% of basin precipitation). We also used long-term gridded runoff and river discharge data (1869–1984) to understand the discrepancy in the observed and expected flow along the Nile River. The top three countries that contribute most to the flow are Ethiopia, Tanzania, and Kenya. The study revealed that ∼85% of the runoff generated in the equatorial region is lost in an interstation basin that includes the Sudd wetlands in South Sudan; this proportion is higher than the literature reported loss of 50% at the Sudd wetlands alone. The loss in runoff and flow volume at different sections of the river tend to be more than what can be explained by evaporation losses, suggesting a potential recharge to deeper aquifers that are not connected to the Nile channel systems. On the other hand, we also found that the expected average annual Nile flow at Aswan is greater (97 km3) than the reported amount (84 km3). Due to the large variations of the reported Nile flow at different locations and time periods, the study results indicate the need for increased hydrometeorological instrumentation of the basin. The study also helped improve our understanding of the spatial dynamics of water sources and sinks in the Nile Basin and identified emerging hydrologic questions that require further attention.
","language":"English","publisher":"AGU","doi":"10.1002/2013WR015231","usgsCitation":"Senay, G., Velpuri, N.M., Bohms, S., Demissie, Y., and Gebremichael, M., 2014, Understanding the hydrologic sources and sinks in the Nile Basin using multisource climate and remote sensing data sets: Water Resources Research, v. 50, no. 11, p. 8625-8650, https://doi.org/10.1002/2013WR015231.","productDescription":"26 p.","startPage":"8625","endPage":"8650","ipdsId":"IP-054002","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr015231","text":"Publisher Index Page"},{"id":341873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Nile Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 23.818359375,\n -3.688855143147035\n ],\n [\n 37.6171875,\n -3.688855143147035\n ],\n [\n 37.6171875,\n 31.57853542647338\n ],\n [\n 23.818359375,\n 31.57853542647338\n ],\n [\n 23.818359375,\n -3.688855143147035\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"592e84c0e4b092b266f10d6d","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demissie, Yonas","contributorId":192369,"corporation":false,"usgs":false,"family":"Demissie","given":"Yonas","email":"","affiliations":[],"preferred":false,"id":696325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gebremichael, Mekonnen","contributorId":147882,"corporation":false,"usgs":false,"family":"Gebremichael","given":"Mekonnen","email":"","affiliations":[],"preferred":false,"id":696326,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70122403,"text":"sir20145149 - 2014 - Aquifers of Arkansas: protection, management, and hydrologic and geochemical characteristics of groundwater resources in Arkansas","interactions":[],"lastModifiedDate":"2015-04-09T09:29:28","indexId":"sir20145149","displayToPublicDate":"2014-10-31T15:30:00","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":"2014-5149","title":"Aquifers of Arkansas: protection, management, and hydrologic and geochemical characteristics of groundwater resources in Arkansas","docAbstract":"Sixteen aquifers in Arkansas that currently serve or have served as sources of water supply are described with respect to existing groundwater protection and management programs, geology, hydrologic characteristics, water use, water levels, deductive analysis, projections of hydrologic conditions, and water quality. State and Federal protection and management programs are described according to regulatory oversight, management strategies, and ambient groundwater-monitoring programs that currently (2013) are in place for assessing and protecting groundwater resources throughout the State.
\n\n
Physical attributes, groundwater geochemistry, and groundwater quality are described for each of the 16 aquifers of the State. Information in regard to the hydrology and geochemistry of each of the aquifers is summarized from about 550 historical and recent publications. Additionally, more than 8,000 sites with groundwater-quality data were obtained from the U.S. Geological Survey National Water Information System and the Arkansas Department of Environmental Quality databases and entered into a spatial database to investigate distribution and trends in chemical constituents for each of the aquifers.
\n\n
The 16 aquifers of the State were divided into two major physiographic regions of the State: the Coastal Plain Province (referred to as Coastal Plain) of eastern and southern Arkansas, which includes 11 of the 16 aquifers, and the Interior Highlands Division (referred to as Interior Highlands) of western Arkansas, which includes the remaining 5 aquifers. The 11 aquifers in the Coastal Plain consist of various geologic units that are Cenozoic in age and consist primarily of Cretaceous, Tertiary, and Quaternary sands, gravels, silts, and clays. Groundwater in the Coastal Plain represents one of the most valuable natural resources in the State, driving the economic engines of agriculture, while also supplying abundant water for commercial, industrial, and public-supply use. In terms of age from youngest to oldest, the aquifers of the Coastal Plain include Quaternary alluvial aquifers, including the Mississippi River Valley alluvial aquifer (the most important aquifer in Arkansas in terms of volume of use and economic benefits), the Jackson Group (a regional confining unit that served for decades as an important source of domestic supply), and the Cockfield, Sparta, Cane River, Carrizo, Wilcox, Nacatoch, Ozan, Tokio, and Trinity aquifers. The Mississippi River Valley alluvial aquifer accounts for approximately 94 percent of all groundwater used in the State, and the aquifer is used primarily for irrigation purposes. The Sparta aquifer is the second most important aquifer in terms of use, and the aquifer was used in the past dominantly as a source of public and industrial supply, although increasing irrigation use is occurring because of critically declining water levels in the Mississippi River Valley alluvial aquifer. Other aquifers of the Coastal Plain generally are used as important local sources of domestic, industrial, and public supply, in addition to other minor uses. Water quality generally is good for all aquifers of the Coastal Plain, except for elevated iron concentrations and localized areas of high salinity. The high salinity results from intrusion from underlying formations, evapotranspiration processes in areas of low recharge, and inadequate flushing in downgradient areas of residual salinity from deposition in marine environments. Trends in the spatial distribution of individual chemical constituents are related to position along the flow path for most aquifers of the Coastal Plain. These trends include elevated iron and nitrate concentrations with lower pH values and dissolved solids in groundwater from the outcrop areas, transitioning to lower iron and nitrate (related to changes in redox) and higher pH and dissolved solids (dominantly from the dissolution of carbonate minerals) in groundwater downgradient from outcrop areas. Groundwater generally trended from a calcium- to a sodium-bicarbonate water type with increasing cation exchange along the flow path.
\n\n
The Interior Highlands of western Arkansas has less reported groundwater use than other areas of the State, reflecting a combination of factors. These factors include prevalent and increasing use of surface water, less intensive agricultural uses, lower population and industry densities, lesser potential yield of the resource, and lack of detailed reporting. The overall low yields of aquifers of the Interior Highlands result in domestic supply as the dominant use, with minor industrial, public, and commercial-supply use. Where greater volumes are required for growth of population and industry, surface water is the greatest supplier of water needs in the Interior Highlands. The various aquifers of the Interior Highlands generally occur in shallow, fractured, well-indurated, structurally modified bedrock of this mountainous region of the State, as compared to the relatively flat-lying, unconsolidated sediments of the Coastal Plain. In terms of age from youngest to oldest, the aquifers of the Interior Highlands include: the Arkansas River Valley alluvial aquifer, the Ouachita Mountains aquifer, the Western Interior Plains confining system, the Springfield Plateau aquifer, and the Ozark aquifer. Spatial trends in groundwater geochemistry in the Interior Highlands differ greatly from trends noted for aquifers of the Coastal Plain. In the Coastal Plain, the prevalence of long regional flow paths results in regionally predictable and mappable geochemical changes along the flow paths. In the Interior Highlands, short, topographically controlled flow paths (from hilltops to valleys) within small watersheds represent the predominant groundwater-flow system. As such, dense data coverage from numerous wells would be required to effectively characterize these groundwater basins and define small-scale geochemical changes along any given flow path for aquifers of the Interior Highlands. Changes in geochemistry generally were related to rock type and residence time along individual flow paths. Dominant changes in geochemistry for the Ouachita Mountains aquifer and the Western Interior Plains confining system are attributed to rock/water interaction and changes in redox zonation along the flow path. In these areas, groundwater evolves along flow paths from a calcium- to a sodium-bicarbonate water type with increasing reducing conditions resulting in denitrification, elevated iron and manganese concentrations, and production of methane in the more geochemically evolved and strongest reducing conditions. In the Ozark and Springfield Plateau aquifers, rapid influx of surface-derived contaminants, especially nitrogen, coupled with few to no attenuation processes was attributed to the karst landscape developed on Mississippian- and Ordovician-age carbonate rocks of the Ozark Plateaus. Increasing nitrate concentrations are related to increasing agricultural land use, and areas of mature karst development result in higher nitrate concentrations than areas with less karst features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145149","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Kresse, T.M., Hays, P.D., Merriman, K.R., Gillip, J.A., Fugitt, D., Spellman, J.L., Nottmeier, A.M., Westerman, D.A., Blackstock, J.M., and Battreal, J.L., 2014, Aquifers of Arkansas: protection, management, and hydrologic and geochemical characteristics of groundwater resources in Arkansas: U.S. Geological Survey Scientific Investigations Report 2014-5149, Report: xxi, 334 p.; Report pages 1-111; Report pages 112-221; Report pages 222-235, https://doi.org/10.3133/sir20145149.","productDescription":"Report: xxi, 334 p.; Report pages 1-111; Report pages 112-221; Report pages 222-235","numberOfPages":"360","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-054912","costCenters":[{"id":129,"text":"Arkansas Water Science 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kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report Front Matter","linkHelpText":"Report Front Matter"},{"id":295814,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5149/pdf/sir2014-5149_Abstract.pdf","text":"Abstract through the Mississippi River Valley Alluvial Aquifer","size":"20.2 MB","description":"Report pages 1-111","linkHelpText":"Report pages 1-111"},{"id":295815,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5149/pdf/sir2014-5149_MinorAlluvial.pdf","text":"Minor Alluvial Aquifers in Coastal Plain through the Trinity Aquifer","size":"23.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report pages 112-249","linkHelpText":"Report pages 112-249"},{"id":295783,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5149/"},{"id":295812,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5149/pdf/sir2014-5149.pdf","size":"54.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Arkasas","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"545c9bb2e4b0ba8303f709a9","contributors":{"authors":[{"text":"Kresse, Timothy M. 0000-0003-1035-0672 tkresse@usgs.gov","orcid":"https://orcid.org/0000-0003-1035-0672","contributorId":2758,"corporation":false,"usgs":true,"family":"Kresse","given":"Timothy","email":"tkresse@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merriman, Katherine R. 0000-0002-1303-2410 kmerriman@usgs.gov","orcid":"https://orcid.org/0000-0002-1303-2410","contributorId":4973,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine","email":"kmerriman@usgs.gov","middleInitial":"R.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":522844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillip, Jonathan A. jgillip@usgs.gov","contributorId":3222,"corporation":false,"usgs":true,"family":"Gillip","given":"Jonathan","email":"jgillip@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fugitt, D. Todd","contributorId":127005,"corporation":false,"usgs":false,"family":"Fugitt","given":"D. Todd","affiliations":[{"id":6759,"text":"Arkansas","active":true,"usgs":false}],"preferred":false,"id":522846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spellman, Jane L.","contributorId":127006,"corporation":false,"usgs":false,"family":"Spellman","given":"Jane","email":"","middleInitial":"L.","affiliations":[{"id":6760,"text":"FTN Associates, Ltd","active":true,"usgs":false}],"preferred":false,"id":522847,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nottmeier, Anna M. 0000-0002-0205-0955 anottmeier@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-0955","contributorId":5283,"corporation":false,"usgs":true,"family":"Nottmeier","given":"Anna","email":"anottmeier@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522848,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":522849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blackstock, Joshua M. jblackst@usgs.gov","contributorId":5553,"corporation":false,"usgs":true,"family":"Blackstock","given":"Joshua","email":"jblackst@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":522850,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Battreal, James L.","contributorId":127019,"corporation":false,"usgs":false,"family":"Battreal","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":6759,"text":"Arkansas","active":true,"usgs":false}],"preferred":false,"id":522898,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70127753,"text":"sir20145185 - 2014 - Status of groundwater levels and storage volume in the Equus Beds aquifer near Wichita, Kansas, 2012 to 2014","interactions":[],"lastModifiedDate":"2014-10-31T16:04:40","indexId":"sir20145185","displayToPublicDate":"2014-10-31T15:00:00","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":"2014-5185","title":"Status of groundwater levels and storage volume in the Equus Beds aquifer near Wichita, Kansas, 2012 to 2014","docAbstract":"Development of the Wichita well field in the Equus Beds aquifer in southwest Harvey County and northwest Sedgwick County began in the 1940s to supply water to the city of Wichita. The decline of water levels in the Equus Beds aquifer was noted soon after the development of the Wichita well field began. Development of irrigation wells began in the 1960s. City and agricultural withdrawals led to substantial water-level declines. Water-level declines likely enhanced movement of brines from past oil and gas activities near Burrton, Kansas, as well as natural saline water from the Arkansas River into the Wichita well field area. Large chloride concentrations may limit use, or require the treatment of water from the well field for irrigation or public supply. In 1993, the city of Wichita adopted the Integrated Local Water Supply Program to ensure an adequate water supply for the city through 2050 and manage effectively the part of the Equus Beds aquifer Wichita uses. The Integrated Local Water Supply Program uses several strategies to do this, including the Equus Beds Aquifer Storage and Recovery project. The purpose of the Aquifer Storage and Recovery project is to store water in the aquifer for later recovery, and help protect the aquifer from encroachment of a known oil-field-brine plume near Burrton and saline water from the Arkansas River. Since 1940, the U.S. Geological Survey, in cooperation with the city of Wichita, has monitored changes in the Equus Beds aquifer as part of Wichita’s effort to manage this resource effectively.
\n\n
Average water-level changes since predevelopment (before substantial pumpage began in the area) for winter 2012, summer 2012, winter 2013, and winter 2014 generally indicate greater declines in the central part of the study area than in either the basin storage or entire study area. In contrast, average water-level rises since 1993 for winter 2012, summer 2012, winter 2013, and winter 2014 were greater for the central part of the study area than for either the basin storage area or entire study area. This indicates the central part of the study area had more post-1993 water-level recovery than did the rest of the study area. In the central part of the study area, city water use decreased by about 40 percent, and irrigation water use increased by about 3 percent compared to pre-1993 peaks in 1992 and 1991, respectively, whereas irrigation water use outside the central part of the study area increased by about 24 percent from the pre-1993 peak in 1991. Part of the larger increase in irrigation pumpage probably was a result of drought-term and multiyear flex account permits, which were estimated to account for about 8 and 4 percent of irrigation pumpage in the study area in 2011 and 2012.
\n\n
There was a larger percentage storage-volume increase since 1993 in the central part of the study area than in either the basin storage area or the entire study area. Storage-volume in the central part of the study area during winter 2012, summer 2013, winter 2013, and winter 2014 recovered about 46,300 acre-feet or more compared to the storage volume in 1993. In summer 2012 and winter 2013, the storage-volume increase since 1993 was larger in the central part of the study area than in the entire study area, indicating the storage-volume increases in the central part of the study area offset decreases in storage volume in the rest of the study area. The larger increase in storage volume in the central part of the study area than in the rest of the study area probably was because of the Integrated Local Water Supply Program strategy that reduced city pumpage from the Equus Beds aquifer by about 40 percent. The current (winter 2014) storage volumes in the entire study area and the central part of the study area are about 94 and 96 percent of their respective predevelopment storage volumes or about 3,067,000 and 962,000 acre-feet, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145185","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Hansen, C.V., Whisnant, J.A., and Lanning-Rush, J., 2014, Status of groundwater levels and storage volume in the Equus Beds aquifer near Wichita, Kansas, 2012 to 2014: U.S. Geological Survey Scientific Investigations Report 2014-5185, Report: vi, 39 p.; Table 1-1, https://doi.org/10.3133/sir20145185.","productDescription":"Report: vi, 39 p.; Table 1-1","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2014-12-31","ipdsId":"IP-057035","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":295818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145185.jpg"},{"id":295816,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5185/pdf/sir2014-5185.pdf","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":295817,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5185/downloads/sir14-5185_table1-1.xlsx","text":"Table 1-1","size":"120 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":295782,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5185/"}],"country":"United States","state":"Kansas","city":"Wichita","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ae02be4b0da0a54dbb636","contributors":{"authors":[{"text":"Hansen, Cristi V. chansen@usgs.gov","contributorId":435,"corporation":false,"usgs":true,"family":"Hansen","given":"Cristi","email":"chansen@usgs.gov","middleInitial":"V.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":522839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whisnant, Joshua A. jwhisnant@usgs.gov","contributorId":5808,"corporation":false,"usgs":true,"family":"Whisnant","given":"Joshua","email":"jwhisnant@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":522840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lanning-Rush, Jennifer L. jlanning@usgs.gov","contributorId":5809,"corporation":false,"usgs":true,"family":"Lanning-Rush","given":"Jennifer L.","email":"jlanning@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":522841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}