{"pageNumber":"709","pageRowStart":"17700","pageSize":"25","recordCount":40783,"records":[{"id":70038282,"text":"70038282 - 2012 - Responses of salt marsh ecosystems to mosquito control management practices along the Atlantic Coast (U.S.A.)","interactions":[],"lastModifiedDate":"2012-05-08T01:01:39","indexId":"70038282","displayToPublicDate":"2012-05-02T15:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Responses of salt marsh ecosystems to mosquito control management practices along the Atlantic Coast (U.S.A.)","docAbstract":"Open marsh water management (OMWM) of salt marshes modifies grid-ditched marshes by creating permanent ponds and radial ditches in the high marsh that reduce mosquito production and enhance fish predation on mosquitoes. It is preferable to using pesticides to control salt marsh mosquito production and is commonly presented as a restoration or habitat enhancement tool for grid-ditched salt marshes. Monitoring of nekton, vegetation, groundwater level, soil salinity, and bird communities before and after OMWM at 11 (six treatment and five reference sites) Atlantic Coast (U.S.A.) salt marshes revealed high variability within and among differing OMWM techniques (ditch-plugging, reengineering of sill ditches, and the creation of ponds and radial ditches). At three marshes, the dominant nekton shifted from fish (primarily Fundulidae species) to shrimp (Palaemonidae species) after manipulations and shrimp density increased at other treatment sites. Vegetation changed at only two sites, one with construction equipment impacts (not desired) and one with a decrease in woody vegetation along existing ditches (desired). One marsh had lower groundwater level and soil salinity, and bird use, although variable, was often unrelated to OMWM manipulations. The potential effects of OMWM manipulations on non-target salt marsh resources need to be carefully considered by resource planners when managing marshes for mosquito control.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Ecological Restoration International","publisherLocation":"Washington D.C.","doi":"10.1111/j.1526-100X.2010.00767.x","usgsCitation":"James-Pirri, M., Erwin, R.M., Prosser, D.J., and Taylor, J.D., 2012, Responses of salt marsh ecosystems to mosquito control management practices along the Atlantic Coast (U.S.A.): Restoration Ecology, v. 20, no. 3, p. 395-404, https://doi.org/10.1111/j.1526-100X.2010.00767.x.","productDescription":"10 p.","startPage":"395","endPage":"404","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474513,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1526-100x.2010.00767.x","text":"Publisher Index Page"},{"id":254697,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2010.00767.x","linkFileType":{"id":5,"text":"html"}},{"id":254698,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Coast","volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-02-16","publicationStatus":"PW","scienceBaseUri":"505aaaa9e4b0c8380cd8646b","contributors":{"authors":[{"text":"James-Pirri, Mary-Jane","contributorId":16147,"corporation":false,"usgs":true,"family":"James-Pirri","given":"Mary-Jane","email":"","affiliations":[],"preferred":false,"id":463793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erwin, R. Michael 0000-0003-2108-9502","orcid":"https://orcid.org/0000-0003-2108-9502","contributorId":57125,"corporation":false,"usgs":true,"family":"Erwin","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":463795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Janith D.","contributorId":36789,"corporation":false,"usgs":true,"family":"Taylor","given":"Janith","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":463794,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038264,"text":"pp1788 - 2012 - History of surface displacements at the Yellowstone Caldera, Wyoming, from leveling surveys and InSAR observations, 1923-2008","interactions":[],"lastModifiedDate":"2019-05-30T16:16:33","indexId":"pp1788","displayToPublicDate":"2012-05-02T11:35:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1788","title":"History of surface displacements at the Yellowstone Caldera, Wyoming, from leveling surveys and InSAR observations, 1923-2008","docAbstract":"Modern geodetic studies of the Yellowstone caldera, Wyoming, and its extraordinary tectonic, magmatic, and hydrothermal systems date from an initial leveling survey done throughout Yellowstone National Park in 1923 by the U.S. Coast and Geodetic Survey. A repeat park-wide survey by the U.S. Geological Survey (USGS) and the University of Utah during 1975-77 revealed that the central part of the caldera floor had risen more than 700 mm since 1923, at an average rate of 14±1 mm/yr. From 1983 to 2007, the USGS conducted 15 smaller surveys of a single level line that crosses the northeast part of the caldera, including the area where the greatest uplift had occurred from 1923 to 1975-77. The 1983 and 1984 surveys showed that uplift had continued at an average rate of 22±1 mm/yr since 1975-77, but no additional uplift occurred during 1984-85 (-2±5 mm/yr), and during 1985-95 the area subsided at an average rate of 19±1 mm/yr. The change from uplift to subsidence was accompanied by an earthquake swarm, the largest ever recorded in the Yellowstone area (as of March 2012), starting in October 1985 and located near the northwest rim of the caldera. Interferometric synthetic aperture radar (InSAR) images showed that the area of greatest subsidence migrated from the northeast part of the caldera (including the Sour Creek resurgent dome) during 1992-93 to the southwest part (including the Mallard Lake resurgent dome) during 1993-95. Thereafter, uplift resumed in the northeast part of the caldera during 1995-96, while subsidence continued in the southwest part. The onset of uplift migrated southwestward, and by mid-1997, uplift was occurring throughout the entire caldera (essentially rim to rim, including both domes). Consistent with these InSAR observations, leveling surveys indicated 24±3 mm of uplift in the northeast part of the caldera during 1995-98. The beginning of uplift was coincident with or followed shortly after an earthquake swarm near the north caldera rim during June-July 1995 - the strongest swarm since 1985. Rather than a single deformation source as inferred from leveling surveys, the InSAR images revealed two distinct sources - one beneath each resurgent dome on the caldera floor. Subsequently, repeated GPS surveys (sometimes referred to as \"campaign\" surveys to distinguish them from continuous GPS observations) and InSAR images revealed a third deformation source beneath the north caldera rim. The north-rim source started to inflate in or about 1995, resulting in as much as 80 mm of surface uplift by 2000. Meanwhile, motion of the caldera floor changed from uplift to subsidence during 1997-8. The north rim area rose, while the entire caldera floor (including both domes) subsided until 2002, when both motions paused. Uplift in the northeast part of the caldera resumed in mid-2004 at a historically unprecedented rate of as much as 70 mm/yr, while the north rim area subsided at a lesser rate. Resurveys of the level line across the northeast part of the caldera in 2005 and 2007 indicated the greatest average uplift rate since the initial survey in 1923-53±3 mm/yr. Data from a nearby continuous GPS (CGPS) station showed that the uplift rate slowed to 40-50 mm/yr during 2007-8 and to near zero by September 2009. Following an intense earthquake swarm during January-February 2010, this one near the northwest caldera rim and the strongest since the 1985 swarm in the same general area, CGPS stations recorded the onset of subsidence throughout the entire caldera. Any viable model for the cause(s) of ground deformation at Yellowstone should account for (1) three distinct deformation sources and their association with both resurgent domes and the north caldera rim; (2) interplay among these sources, as suggested by the timing of major changes in deformation mode; (3) migration of the area of greatest subsidence or uplift from the northeast part of the caldera to the southwest part during 1992-95 and 1995-97, respectively; (4) repeated cycles of uplift and subsidence and sudden changes from uplift to subsidence or vice versa; (5) spatial and temporal relationships between changes in deformation mode and strong earthquake swarms; and (6) lateral dimensions of all three deforming areas that indicate source depths in the range of 5 to 15 km. We prefer a conceptual model in which surface displacements at Yellowstone are caused primarily by variations in the flux of basaltic magma into the crust beneath the caldera. Specifically, we envision a magmatic conduit system beneath the northeast part of the caldera that supplies basalt from a mantle source to an accumulation zone at 5-10 km depth, perhaps at a rheological boundary within a crystallizing rhyolite body remnant from past eruptions. Increases in the magma flux favor uplift of the caldera and decreases favor subsidence. A delicate equilibrium exists among the mass and heat flux from basaltic intrusions, heat and volatile loss from the crystallizing rhyolite body, and the overlying hydrothermal system. In the absence of basalt input, steady subsidence occurs mainly as a result of fluid loss from crystallizing rhyolite. At times when a self-sealing zone in the deep hydrothermal system prevents the escape of magmatic fluid, the resulting pressure increase contributes to surface uplift within the caldera; such episodes end when the seal ruptures during an earthquake swarm. To account for the north rim deformation source, we propose that magma or fluid exsolved from magma episodically escapes the caldera system at the three-way structural intersection of (1) the northern caldera boundary, (2) an active seismic belt to the north-northwest that is associated with the Hebgen Lake fault zone, and (3) the Norris - Mammoth corridor - a zone of faults, volcanic vents, and thermal activity that strikes north from the north rim of the caldera near Norris Geyser Basin to Mammoth Hot Springs near the northern boundary of Yellowstone National Park. Increased fluid flux out of the caldera by way of this intersection favors subsidence of the north rim area, and decreased flux favors uplift. This model does not account for poroelastic and thermoelastic effects, nonelastic rheology, or heat and mass transport in the hot and wet subcaldera crust. Such effects almost surely play a role in caldera deformation and are an important topic of ongoing research.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1788","collaboration":"Version 1.1 available only on the Web. Version 1.0 available only in print.","usgsCitation":"Dzurisin, D., Wicks, C., and Poland, M., 2012, History of surface displacements at the Yellowstone Caldera, Wyoming, from leveling surveys and InSAR observations, 1923-2008 (Version 1.1, June 2012): U.S. Geological Survey Professional Paper 1788, Report: vi, 54 p., https://doi.org/10.3133/pp1788.","productDescription":"Report: vi, 54 p.","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},{"id":686,"text":"Yellowstone Volcano Observatory","active":false,"usgs":true}],"links":[{"id":254660,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1788.gif"},{"id":254648,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1788/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park;Yellowstone Caldera","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5,44 ], [ -111.5,45.166666666666664 ], [ -109.75,45.166666666666664 ], [ -109.75,44 ], [ -111.5,44 ] ] ] } } ] }","edition":"Version 1.1, June 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a31c3e4b0c8380cd5e1eb","contributors":{"authors":[{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":463770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles W.","contributorId":52048,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","affiliations":[],"preferred":false,"id":463772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":463771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038429,"text":"tm7C6 - 2012 - Approaches in highly parameterized inversion - GENIE, a general model-independent TCP/IP run manager","interactions":[],"lastModifiedDate":"2012-05-31T01:01:41","indexId":"tm7C6","displayToPublicDate":"2012-05-01T16:20:27","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C6","title":"Approaches in highly parameterized inversion - GENIE, a general model-independent TCP/IP run manager","docAbstract":"GENIE is a model-independent suite of programs that can be used to generally distribute, manage, and execute multiple model runs via the TCP/IP infrastructure. The suite consists of a file distribution interface, a run manage, a run executer, and a routine that can be compiled as part of a program and used to exchange model runs with the run manager. Because communication is via a standard protocol (TCP/IP), any computer connected to the Internet can serve in any of the capacities offered by this suite. Model independence is consistent with the existing template and instruction file protocols of the widely used PEST parameter estimation program. This report describes (1) the problem addressed; (2) the approach used by GENIE to queue, distribute, and retrieve model runs; and (3) user instructions, classes, and functions developed. It also includes (4) an example to illustrate the linking of GENIE with Parallel PEST using the interface routine.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C6","collaboration":"Great Lakes Restoration Initiative: S.S. Papadopulos and Associates, Inc., Principia Mathematica, Inc., Flinders University and Watermark Numerical Computing, Computation Water Resource Engineering","usgsCitation":"Muffels, C.T., Schreuder, W.A., Doherty, J.E., Karanovic, M., Tonkin, M.J., Hunt, R.J., and Welter, D.E., 2012, Approaches in highly parameterized inversion - GENIE, a general model-independent TCP/IP run manager: U.S. Geological Survey Techniques and Methods 7-C6, iii, 6 p.; Appendices; Software Download, https://doi.org/10.3133/tm7C6.","productDescription":"iii, 6 p.; Appendices; Software Download","onlineOnly":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":257026,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_C6.gif"},{"id":257024,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm7c6/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ece1e4b0c8380cd4952f","contributors":{"authors":[{"text":"Muffels, Christopher T.","contributorId":105949,"corporation":false,"usgs":true,"family":"Muffels","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":464105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreuder, Willem A.","contributorId":47213,"corporation":false,"usgs":true,"family":"Schreuder","given":"Willem","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":464101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karanovic, Marinko","contributorId":54831,"corporation":false,"usgs":true,"family":"Karanovic","given":"Marinko","email":"","affiliations":[],"preferred":false,"id":464104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tonkin, Matthew J.","contributorId":26376,"corporation":false,"usgs":true,"family":"Tonkin","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Welter, David E.","contributorId":107539,"corporation":false,"usgs":true,"family":"Welter","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464106,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70200750,"text":"70200750 - 2012 - Stability of infinite slopes under transient partially saturated seepage conditions","interactions":[],"lastModifiedDate":"2018-10-30T15:51:21","indexId":"70200750","displayToPublicDate":"2012-05-01T15:51:12","publicationYear":"2012","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":"Stability of infinite slopes under transient partially saturated seepage conditions","docAbstract":"<p><span>Prediction of the location and timing of rainfall‐induced shallow landslides is desired by organizations responsible for hazard management and warnings. However, hydrologic and mechanical processes in the vadose zone complicate such predictions. Infiltrating rainfall must typically pass through an unsaturated layer before reaching the irregular and usually discontinuous shallow water table. This process is dynamic and a function of precipitation intensity and duration, the initial moisture conditions and hydrologic properties of the hillside materials, and the geometry, stratigraphy, and vegetation of the hillslope. As a result, pore water pressures, volumetric water content, effective stress, and thus the propensity for landsliding vary over seasonal and shorter time scales. We apply a general framework for assessing the stability of infinite slopes under transient variably saturated conditions. The framework includes profiles of pressure head and volumetric water content combined with a general effective stress for slope stability analysis. The general effective stress, or suction stress, provides a means for rigorous quantification of stress changes due to rainfall and infiltration and thus the analysis of slope stability over the range of volumetric water contents and pressure heads relevant to shallow landslide initiation. We present results using an analytical solution for transient infiltration for a range of soil texture and hydrological properties typical of landslide‐prone hillslopes and show the effect of these properties on the timing and depth of slope failure. We follow by analyzing field‐monitoring data acquired prior to shallow landslide failure of a hillside near Seattle, Washington, and show that the timing of the slide was predictable using measured pressure head and volumetric water content and show how the approach can be used in a forward manner using a numerical model for transient infiltration.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2011WR011408","usgsCitation":"Godt, J.W., Şener-Kaya, B., Lu, N., and Baum, R.L., 2012, Stability of infinite slopes under transient partially saturated seepage conditions: Water Resources Research, v. 48, no. 5, p. 1-14, https://doi.org/10.1029/2011WR011408.","productDescription":"W05505; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-036500","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011408","text":"Publisher Index Page"},{"id":358990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-03","publicationStatus":"PW","scienceBaseUri":"5c10be73e4b034bf6a7f075b","contributors":{"authors":[{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":750362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Şener-Kaya, Başak","contributorId":44445,"corporation":false,"usgs":true,"family":"Şener-Kaya","given":"Başak","affiliations":[],"preferred":false,"id":750363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":750364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750365,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143100,"text":"70143100 - 2012 - Evidence for competition at sea between Norton Sound chum salmon and Asian hatchery chum salmon","interactions":[],"lastModifiedDate":"2015-03-17T10:01:24","indexId":"70143100","displayToPublicDate":"2012-05-01T11:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for competition at sea between Norton Sound chum salmon and Asian hatchery chum salmon","docAbstract":"<p>Increasing production of hatchery salmon over the past four decades has led to concerns about possible density-dependent effects on wild Pacific salmon populations in the North Pacific Ocean. The concern arises because salmon from distant regions overlap in the ocean, and wild salmon populations having low productivity may compete for food with abundant hatchery populations. We tested the hypothesis that adult length-at-age, age-at-maturation, productivity, and abundance of a Norton Sound, Alaska, chum salmon population were influenced by Asian hatchery chum salmon, which have become exceptionally abundant and surpassed the abundance of wild chum salmon in the North Pacific beginning in the early 1980s. We found that smaller adult length-at-age, delayed age-at-maturation, and reduced productivity and abundance of the Norton Sound salmon population were associated with greater production of Asian hatchery chum salmon since 1965. Modeling of the density-dependent relationship, while controlling for other influential variables, indicated that an increase in adult hatchery chum salmon abundance from 10 million to 80 million adult fish led to a 72% reduction in the abundance of the wild chum salmon population. These findings indicate that competition with hatchery chum salmon contributed to the low productivity and abundance of Norton Sound chum salmon, which includes several stocks that are classified as Stocks of Concern by the State of Alaska. This study provides new evidence indicating that large-scale hatchery production may influence body size, age-at-maturation, productivity and abundance of a distant wild salmon population.</p>","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10641-011-9856-5","usgsCitation":"Ruggerone, G.T., Agler, B., and Nielsen, J.L., 2012, Evidence for competition at sea between Norton Sound chum salmon and Asian hatchery chum salmon: Environmental Biology of Fishes, v. 94, no. 1, p. 149-163, https://doi.org/10.1007/s10641-011-9856-5.","productDescription":"15 p.","startPage":"149","endPage":"163","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024457","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":298606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298597,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10641-011-9856-5#page-1"}],"volume":"94","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2011-06-07","publicationStatus":"PW","scienceBaseUri":"5509502ee4b02e76d757e619","contributors":{"authors":[{"text":"Ruggerone, Gregory T.","contributorId":48068,"corporation":false,"usgs":true,"family":"Ruggerone","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":542477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agler, B.A.","contributorId":33830,"corporation":false,"usgs":true,"family":"Agler","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":542481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":542482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70118533,"text":"70118533 - 2012 - Tsunami hazards to U.S. coasts from giant earthquakes in Alaska","interactions":[],"lastModifiedDate":"2018-01-08T16:25:10","indexId":"70118533","displayToPublicDate":"2012-05-01T09:55:03","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Tsunami hazards to U.S. coasts from giant earthquakes in Alaska","docAbstract":"In the aftermath of Japan's devastating 11 March 2011M<sub><i>w</i></sub> 9.0 Tohoku earthquake and tsunami, scientists are considering whether and how a similar tsunami could be generated along the Alaskan-Aleutian subduction zone (AASZ). A tsunami triggered by an earthquake along the AASZ would cross the Pacific Ocean and cause extensive damage along highly populated U.S. coasts, with ports being particularly vulnerable. For example, a tsunami in 1946 generated by a <i>M<sub>w</sub></i> 8.6 earthquake near Unimak Pass, Alaska (Figure 1a), caused significant damage along the U.S. West Coast, took 150 lives in Hawaii, and inundated shorelines of South Pacific islands and Antarctica [<i>Fryer et al.</i>, 2004; <i>Lopez and Okal</i>, 2006]. The 1946 tsunami occurred before modern broadband seismometers were in place, and the mechanisms that created it remain poorly understood.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012EO190001","usgsCitation":"Ryan, H.F., von Huene, R.E., Scholl, D., and Kirby, S., 2012, Tsunami hazards to U.S. coasts from giant earthquakes in Alaska: Eos, Transactions, American Geophysical Union, v. 93, no. 19, p. 185-186, https://doi.org/10.1029/2012EO190001.","productDescription":"2 p.","startPage":"185","endPage":"186","numberOfPages":"2","ipdsId":"IP-036084","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":291256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291255,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO190001"}],"volume":"93","issue":"19","noUsgsAuthors":false,"publicationDate":"2012-05-08","publicationStatus":"PW","scienceBaseUri":"57f7f509e4b0bc0bec0a139e","contributors":{"authors":[{"text":"Ryan, Holly F. hryan@usgs.gov","contributorId":2375,"corporation":false,"usgs":true,"family":"Ryan","given":"Holly","email":"hryan@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":496926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":496927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Dave","contributorId":34835,"corporation":false,"usgs":true,"family":"Scholl","given":"Dave","email":"","affiliations":[],"preferred":false,"id":496928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirby, Stephen","contributorId":89412,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","affiliations":[],"preferred":false,"id":496929,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70058770,"text":"70058770 - 2012 - Effects of river regulation on aeolian landscapes, Colorado River, southwestern USA","interactions":[],"lastModifiedDate":"2013-12-17T10:04:26","indexId":"70058770","displayToPublicDate":"2012-05-01T09:55:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Effects of river regulation on aeolian landscapes, Colorado River, southwestern USA","docAbstract":"Connectivity between fluvial and aeolian sedimentary systems plays an important role in the physical and biological environment of dryland regions. This study examines the coupling between fluvial sand deposits and aeolian dune fields in bedrock canyons of the arid to semiarid Colorado River corridor, southwestern USA. By quantifying significant differences between aeolian landscapes with and without modern fluvial sediment sources, this work demonstrates for the first time that the flow- and sediment-limiting effects of dam operations affect sedimentary processes and ecosystems in aeolian landscapes above the fluvial high water line. Dune fields decoupled from fluvial sand supply have more ground cover (biologic crust and vegetation) and less aeolian sand transport than do dune fields that remain coupled to modern fluvial sand supply. The proportion of active aeolian sand area also is substantially lower in a heavily regulated river reach (Marble–Grand Canyon, Arizona) than in a much less regulated reach with otherwise similar environmental conditions (Cataract Canyon, Utah). The interconnections shown here among river flow and sediment, aeolian sand transport, and biologic communities in aeolian dunes demonstrate a newly recognized means by which anthropogenic influence alters dryland environments. Because fluvial–aeolian coupling is common globally, it is likely that similar sediment-transport connectivity and interaction with upland ecosystems are important in other dryland regions to a greater degree than has been recognized previously.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2011JF002329","usgsCitation":"Draut, A.E., 2012, Effects of river regulation on aeolian landscapes, Colorado River, southwestern USA: Journal of Geophysical Research F: Earth Surface, v. 117, no. F2, 22 p., https://doi.org/10.1029/2011JF002329.","productDescription":"22 p.","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-025954","costCenters":[],"links":[{"id":474516,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jf002329","text":"Publisher Index Page"},{"id":280358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280357,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JF002329"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0,35.5 ], [ -114.0,38.166667 ], [ -109.75,38.166667 ], [ -109.75,35.5 ], [ -114.0,35.5 ] ] ] } } ] }","volume":"117","issue":"F2","noUsgsAuthors":false,"publicationDate":"2012-05-16","publicationStatus":"PW","scienceBaseUri":"53cd5702e4b0b290850f73da","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487371,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043559,"text":"70043559 - 2012 - Habitat persistence for sedentary organisms in managed rivers: the case for the federally endangered dwarf wedgemussel (Alasmidonta heterodon) in the Delaware River","interactions":[],"lastModifiedDate":"2017-07-24T12:57:37","indexId":"70043559","displayToPublicDate":"2012-05-01T00:00:00","publicationYear":"2012","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":"Habitat persistence for sedentary organisms in managed rivers: the case for the federally endangered dwarf wedgemussel (Alasmidonta heterodon) in the Delaware River","docAbstract":"1. To manage the environmental flow requirements of sedentary taxa, such as mussels and aquatic insects with fixed retreats, we need a measure of habitat availability over a variety of flows (i.e. a measure of persistent habitat). Habitat suitability measures in current environmental flow assessments are measured on a ‘flow by flow’ basis and thus are not appropriate for these taxa. Here, we present a novel measure of persistent habitat suitability for the dwarf wedgemussel (Alasmidonta heterodon), listed as federally endangered in the U.S.A., in three reaches of the Delaware River.\n\n2. We used a two-dimensional hydrodynamic model to quantify suitable habitat over a range of flows based on modelled depth, velocity, Froude number, shear velocity and shear stress at three scales (individual mussel, mussel bed and reach). Baseline potentially persistent habitat was quantified as the sum of pixels that met all thresholds identified for these variables for flows ≥40 m3 s−1, and we calculated the loss of persistently suitable habitat by sequentially summing suitable habitat estimates at lower flows. We estimated the proportion of mussel beds exposed at each flow and the amount of change in the size of the mussel bed for one reach.\n\n3. For two reaches, mussel beds occupied areas with lower velocity, shear velocity, shear stress and Froude number than the reach average at all flows. In the third reach, this was true only at higher flows. Together, these results indicate that beds were possible refuge areas from the effects of these hydrological parameters. Two reaches showed an increase in the amount of exposed mussel beds with decreasing flow.\n\n4. Baseline potentially persistent habitat was less than half the areal extent of potentially suitable habitat, and it decreased with decreasing flow. Actually identified beds and modelled persistent habitat showed good spatial overlap, but identified beds occupied only a portion of the total modelled persistent habitat, indicating either that additional suitable habitat is available or the need to improve habitat criteria. At one site, persistent beds (beds where mussels were routinely collected) were located at sites with stable substratum, whereas marginal beds (beds where mussels were infrequently collected or that were lost following a large flood event) were located in scoured areas.\n\n5. Taken together, these model results support a multifaceted approach, which incorporates the effects of low and high flow stressors, to quantify habitat suitability for mussels and other sedentary taxa. Models of persistent habitat can provide a more holistic environmental flow assessment of rivers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2012.02788.x","usgsCitation":"Maloney, K.O., Lellis, W.A., Bennett, R., and Waddle, T.J., 2012, Habitat persistence for sedentary organisms in managed rivers: the case for the federally endangered dwarf wedgemussel (Alasmidonta heterodon) in the Delaware River: Freshwater Biology, v. 57, no. 6, p. 1315-1327, https://doi.org/10.1111/j.1365-2427.2012.02788.x.","startPage":"1315","endPage":"1327","ipdsId":"IP-033815","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":270526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270525,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2012.02788.x"}],"country":"United States","volume":"57","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-04-10","publicationStatus":"PW","scienceBaseUri":"515d4f67e4b0803bd2eec530","contributors":{"authors":[{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":473836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Randy M.","contributorId":7157,"corporation":false,"usgs":true,"family":"Bennett","given":"Randy M.","affiliations":[],"preferred":false,"id":473838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waddle, Terry J.","contributorId":43430,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":473839,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038252,"text":"ofr20121025 - 2012 - Preliminary investigation of the effects of sea-level rise on groundwater levels in New Haven, Connecticut","interactions":[],"lastModifiedDate":"2012-05-02T12:00:53","indexId":"ofr20121025","displayToPublicDate":"2012-05-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1025","title":"Preliminary investigation of the effects of sea-level rise on groundwater levels in New Haven, Connecticut","docAbstract":"Global sea level rose about 0.56 feet (ft) (170 millimeters (mm)) during the 20th century. Since the 1960s, sea level has risen at Bridgeport, Connecticut, about 0.38 ft (115 mm), at a rate of 0.008 ft (2.56 mm + or - 0.58 mm) per year. With regional subsidence, and with predicted global climate change, sea level is expected to continue to rise along the northeast coast of the United States through the 21st century. Increasing sea levels will cause groundwater levels in coastal areas to rise in order to adjust to the new conditions. Some regional climate models predict wetter climate in the northeastern United States under some scenarios. Scenarios for the resulting higher groundwater levels have the potential to inundate underground infrastructure in lowlying coastal cities. New Haven is a coastal city in Connecticut surrounded and bisected by tidally affected waters. Monitoring of water levels in wells in New Haven from August 2009 to July 2010 indicates the complex effects of urban influence on groundwater levels. The response of groundwater levels to recharge and season varied considerably from well to well. Groundwater temperatures varied seasonally, but were warmer than what was typical for Connecticut, and they seem to reflect the influence of the urban setting, including the effects of conduits for underground utilities. Specific conductance was elevated in many of the wells, indicating the influence of urban activities or seawater in Long Island Sound. A preliminary steady-state model of groundwater flow for part of New Haven was constructed using MODFLOW to simulate current groundwater levels (2009-2010) and future groundwater levels based on scenarios with a rise of 3 ft (0.91 meters (m)) in sea level, which is predicted for the end of the 21st century. An additional simulation was run assuming a 3-ft rise in sea level combined with a 12-percent increase in groundwater recharge. The model was constructed from existing hydrogeologic information for the New Haven area and from new information on groundwater levels collected during October 2009-June 2010. For the scenario with a 3-ft rise in sea level and no increase in recharge, simulated groundwater levels near the coast rose 3 ft; this increased water level tapered off toward a discharge area at the only nontidal stream in the study area. Simulated stream discharge increased at the nontidal stream because of the increased gradient. Although groundwater levels rose, the simulated difference between the groundwater levels in the aquifer and the increased sea level declined, indicating that the depth to the interface between freshwater and saltwater may possibly decline. Simulated water levels were affected by rise in sea level even in areas where the water table was at 17-24 ft (5.2-7.3 m) above current (2011) sea level. For the scenario with increased recharge, simulated groundwater levels were as much as an additional foot higher at some locations in the study area. The results of this preliminary investigation indicate that groundwater levels in coastal areas can be expected to rise and may rise higher if groundwater recharge also increases. This finding has implications for the disposal of stormwater through infiltration, a low-impact development practice designed to improve water quality and reduce overland peak discharge. Other implications include increased risk of basement flooding and increased groundwater seepage into underground sewer pipes and utility corridors in some areas. These implications will present engineering challenges to New Haven and Yale University. The preliminary model developed for this study can be the starting point for further simulation of future alternative scenarios for sea-level rise and recharge. Further simulations could identify those areas of New Haven where infrastructure may be at greatest risk from rising levels of groundwater. The simulations described in this report have limitations due to the preliminary scope of the work. Approaches to improve simulations include but are not limited to incorporating: * The variable density of seawater into the model in order to understand the current and future location of the interface between freshwater and saltwater; * Collection of additional data in order to better resolve temporal and spatial patterns in water levels in the aquifer; * Improved estimates of recharge through direct and indirect measurements of freshwater discharge from the study area; and * Transient simulations for greater understanding of the amount of time required for water levels and the position of the interface between freshwater and saltwater to adjust to changes in sea level and recharge.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121025","collaboration":"Prepared in cooperation with Yale University","usgsCitation":"Bjerklie, D.M., Mullaney, J.R., Stone, J.R., Skinner, B.J., and Ramlow, M.A., 2012, Preliminary investigation of the effects of sea-level rise on groundwater levels in New Haven, Connecticut: U.S. Geological Survey Open-File Report 2012-1025, v, 46 p., https://doi.org/10.3133/ofr20121025.","productDescription":"v, 46 p.","additionalOnlineFiles":"Y","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":254637,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1025/","linkFileType":{"id":5,"text":"html"}},{"id":254638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1025.jpg"}],"scale":"24000","country":"United States","state":"Connecticut","city":"New Haven","otherGeospatial":"New Haven Harbor;West River;Mill River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73,41.266666666666666 ], [ -73,41.4 ], [ -72.86666666666666,41.4 ], [ -72.86666666666666,41.266666666666666 ], [ -73,41.266666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8851e4b0c8380cd7d847","contributors":{"authors":[{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":463742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, Brian J.","contributorId":75371,"corporation":false,"usgs":true,"family":"Skinner","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramlow, Matthew A.","contributorId":93758,"corporation":false,"usgs":true,"family":"Ramlow","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038258,"text":"ofr20121071 - 2012 - R-SWAT-FME user's guide","interactions":[],"lastModifiedDate":"2012-05-08T01:01:39","indexId":"ofr20121071","displayToPublicDate":"2012-05-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1071","title":"R-SWAT-FME user's guide","docAbstract":"R program language-Soil and Water Assessment Tool-Flexible Modeling Environment (R-SWAT-FME) (Wu and Liu, 2012) is a comprehensive modeling framework that adopts an R package, Flexible Modeling Environment (FME) (Soetaert and Petzoldt, 2010), for the Soil and Water Assessment Tool (SWAT) model (Arnold and others, 1998; Neitsch and others, 2005). This framework provides the functionalities of parameter identifiability, model calibration, and sensitivity and uncertainty analysis with instant visualization. This user's guide shows how to apply this framework for a customized SWAT project.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121071","usgsCitation":"Wu, Y., and Liu, S., 2012, R-SWAT-FME user's guide: U.S. Geological Survey Open-File Report 2012-1071, iii, 5 p., https://doi.org/10.3133/ofr20121071.","productDescription":"iii, 5 p.","startPage":"i","endPage":"5","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":254640,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1071/","linkFileType":{"id":5,"text":"html"}},{"id":254644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1071.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a931ee4b0c8380cd80c14","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":463757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":463756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193577,"text":"70193577 - 2012 - Tidal triggering of low frequency earthquakes near Parkfield, California: Implications for fault mechanics within the brittle-ductile transition","interactions":[],"lastModifiedDate":"2017-11-02T11:27:31","indexId":"70193577","displayToPublicDate":"2012-05-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Tidal triggering of low frequency earthquakes near Parkfield, California: Implications for fault mechanics within the brittle-ductile transition","docAbstract":"<p><span>Studies of nonvolcanic tremor (NVT) have established the significant impact of small stress perturbations on NVT generation. Here we analyze the influence of the solid earth and ocean tides on a catalog of ∼550,000 low frequency earthquakes (LFEs) distributed along a 150 km section of the San Andreas Fault centered at Parkfield. LFE families are identified in the NVT data on the basis of waveform similarity and are thought to represent small, effectively co-located earthquakes occurring on brittle asperities on an otherwise aseismic fault at depths of 16 to 30 km. We calculate the sensitivity of each of these 88 LFE families to the tidally induced right-lateral shear stress (RLSS), fault-normal stress (FNS), and their time derivatives and use the hypocentral locations of each family to map the spatial variability of this sensitivity. LFE occurrence is most strongly modulated by fluctuations in shear stress, with the majority of families demonstrating a correlation with RLSS at the 99% confidence level or above. Producing the observed LFE rate modulation in response to shear stress perturbations requires low effective stress in the LFE source region. There are substantial lateral and vertical variations in tidal shear stress sensitivity, which we interpret to reflect spatial variation in source region properties, such as friction and pore fluid pressure. Additionally, we find that highly episodic, shallow LFE families are generally less correlated with tidal stresses than their deeper, continuously active counterparts. The majority of families have weaker or insignificant correlation with positive (tensile) FNS. Two groups of families demonstrate a stronger correlation with fault-normal tension to the north and with compression to the south of Parkfield. The families that correlate with fault-normal clamping coincide with a releasing right bend in the surface fault trace and the LFE locations, suggesting that the San Andreas remains localized and contiguous down to near the base of the crust. The deep families that have high sensitivity to both shear and tensile normal stress perturbations may be indicative of an increase in effective fault contact area with depth. Synthesizing our observations with those of other LFE-hosting localities will help to develop a comprehensive understanding of transient fault slip below the “seismogenic zone” by providing constraints on parameters in physical models of slow slip and LFEs.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2011JB009036","usgsCitation":"Thomas, A., Burgmann, R., Shelly, D.R., Beeler, N.M., and Rudolph, M., 2012, Tidal triggering of low frequency earthquakes near Parkfield, California: Implications for fault mechanics within the brittle-ductile transition: Journal of Geophysical Research B: Solid Earth, v. 117, no. B5, p. 1-24, https://doi.org/10.1029/2011JB009036.","productDescription":"B05301; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-037106","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121,\n              35.5\n            ],\n            [\n              -120,\n              35.5\n            ],\n            [\n              -120,\n              36.5\n            ],\n            [\n              -121,\n              36.5\n            ],\n            [\n              -121,\n              35.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"B5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-04","publicationStatus":"PW","scienceBaseUri":"59fc2eb1e4b0531197b28024","contributors":{"authors":[{"text":"Thomas, A.M.","contributorId":47735,"corporation":false,"usgs":true,"family":"Thomas","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":719482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgmann, R.","contributorId":10167,"corporation":false,"usgs":true,"family":"Burgmann","given":"R.","affiliations":[],"preferred":false,"id":719483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rudolph, M.L.","contributorId":93365,"corporation":false,"usgs":true,"family":"Rudolph","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":719486,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038233,"text":"ofr20121048 - 2012 - Lineament analysis of mineral areas of interest in Afghanistan","interactions":[],"lastModifiedDate":"2012-04-30T17:28:33","indexId":"ofr20121048","displayToPublicDate":"2012-04-30T10:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1048","title":"Lineament analysis of mineral areas of interest in Afghanistan","docAbstract":"<p>During a preliminary mineral resource assessment of Afghanistan (Peters and others, 2007), 24 mineralized areas of interest (AOIs) were highlighted as the focus for future economic development throughout various parts of the country. In addition to located mineral resources of value, development of a viable mining industry in Afghanistan will require the location of suitable groundwater resources for drinking, processing of mineral ores for use or for export, and for agriculture and food production in areas surrounding and supporting future mining enterprises. This report and accompanying GIS datasets describe the results of both automated and manual mapping of lineaments throughout the 24 mineral occurrence AOIs described in detail by Peters and others (2007; 2011). For this study, we define lineaments as \"mappable linear or curvilinear features of a surface whose parts align in a straight or slightly curving relationship that may be the expression of a fault or other linear zones of weakness\" as derived from remote sensing sources such as optical imagery, radar imagery or digital elevation models (DEMs) (Sabins, 2007).</p>\n<p>Water wells in bedrock aquifers are generally more productive where boreholes intersect fractures or fracture zones. Lineament identification and analysis have long been used as a reconnaissance tool to identify such favorable conditions for groundwater resources in carbonate bedrock environments (Lattman and Parizek, 1964; Siddiqui and Parizek, 1971). More recently, lineament analysis has been used to identify areas of greater well yields in other bedrock settings, such as crystalline bedrock (Mabee and other, 1994; Moore and others, 2002). Lineaments provide an indication of bedrock areas that warrant further investigation for optimal water well placement. They may also indicate areas of preferential flow and storage of groundwater, and, thus, areas with a greater density of lineaments may indicate greater secondary porosity. Lineaments may indicate structurally trending mineralized areas (for example, Mars and Rowan, 2007), or locations of near-surface water resources, especially when surface vegetation growth coincides with lineaments.</p>\n<p>The purpose of this report and accompanying GIS data is to provide lineament maps that give one indication of areas that warrant further investigation for optimal bedrock water-well placement within 24 target areas for mineral resources (Peters and others, 2011). These data may also support the identification of faults related to modern seismic hazards (for example, Wheeler and others, 2005; Ruleman and others, 2007), as well as support studies attempting to understand the relationship between tectonic and structural controls on hydrothermal fluid flow, subsequent mineralization, and water-quality issues near mined and unmined mineral deposits (for example, Eppinger and others, 2007).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121048","collaboration":"Prepared in cooperation with the Afghanistan Geological Survey, Ministry of Mines under the auspices of the Task Force for Business and Stability Operations, Department of Defense","usgsCitation":"Hubbard, B.E., Mack, T.J., and Thompson, A.L., 2012, Lineament analysis of mineral areas of interest in Afghanistan: U.S. Geological Survey Open-File Report 2012-1048, iv, 15 p.; Appendix; Downloads Directory, https://doi.org/10.3133/ofr20121048.","productDescription":"iv, 15 p.; Appendix; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":254624,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1048.gif"},{"id":254623,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1048/","linkFileType":{"id":5,"text":"html"}}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 61,29.5 ], [ 61,38 ], [ 75,38 ], [ 75,29.5 ], [ 61,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a47abe4b0c8380cd6791a","contributors":{"authors":[{"text":"Hubbard, Bernard E. 0000-0002-9315-2032 bhubbard@usgs.gov","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":2342,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"bhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":463695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mack, Thomas J. 0000-0002-0496-3918 tjmack@usgs.gov","orcid":"https://orcid.org/0000-0002-0496-3918","contributorId":1677,"corporation":false,"usgs":true,"family":"Mack","given":"Thomas","email":"tjmack@usgs.gov","middleInitial":"J.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Allyson L.","contributorId":90575,"corporation":false,"usgs":true,"family":"Thompson","given":"Allyson","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":463696,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038134,"text":"70038134 - 2012 - MERGANSER: an empirical model to predict fish and loon mercury in New England lakes","interactions":[],"lastModifiedDate":"2013-03-17T21:22:12","indexId":"70038134","displayToPublicDate":"2012-04-30T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"MERGANSER: an empirical model to predict fish and loon mercury in New England lakes","docAbstract":"MERGANSER (MERcury Geo-spatial AssessmeNtS for the New England Region) is an empirical least-squares multiple regression model using mercury (Hg) deposition and readily obtainable lake and watershed features to predict fish (fillet) and common loon (blood) Hg in New England lakes. We modeled lakes larger than 8 ha (4404 lakes), using 3470 fish (12 species) and 253 loon Hg concentrations from 420 lakes. MERGANSER predictor variables included Hg deposition, watershed alkalinity, percent wetlands, percent forest canopy, percent agriculture, drainage area, population density, mean annual air temperature, and watershed slope. The model returns fish or loon Hg for user-entered species and fish length. MERGANSER explained 63% of the variance in fish and loon Hg concentrations. MERGANSER predicted that 32-cm smallmouth bass had a median Hg concentration of 0.53 &mu;g g<sup>-1</sup> (root-mean-square error 0.27 &mu;g g<sup>-1</sup>) and exceeded EPA's recommended fish Hg criterion of 0.3 &mu;g g<sup>-1</sup> in 90% of New England lakes. Common loon had a median Hg concentration of 1.07 &mu;g g<sup>-1</sup> and was in the moderate or higher risk category of >1 &mu;g g<sup>-1</sup> Hg in 58% of New England lakes. MERGANSER can be applied to target fish advisories to specific unmonitored lakes, and for scenario evaluation, such as the effect of changes in Hg deposition, land use, or warmer climate on fish and loon mercury.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es300581p","usgsCitation":"Shanley, J.B., Moore, R., Smith, R.A., Miller, E.K., Simcox, A., Kamman, N., Nacci, D., Robinson, K., Johnston, J.M., Hughes, M.M., Johnston, C., Evers, D., Williams, K., Graham, J., and King, S., 2012, MERGANSER: an empirical model to predict fish and loon mercury in New England lakes: Environmental Science & Technology, v. 46, no. 8, p. 4641-4648, https://doi.org/10.1021/es300581p.","productDescription":"8 p.","startPage":"4641","endPage":"4648","numberOfPages":"8","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":254633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254629,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es300581p","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"New England","volume":"46","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-03-26","publicationStatus":"PW","scienceBaseUri":"505a4ac1e4b0c8380cd68ffc","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Richard","contributorId":37184,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","affiliations":[],"preferred":false,"id":463483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Richard A. 0000-0003-2117-2269 rsmith1@usgs.gov","orcid":"https://orcid.org/0000-0003-2117-2269","contributorId":580,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rsmith1@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":463478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Eric K.","contributorId":55244,"corporation":false,"usgs":true,"family":"Miller","given":"Eric","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":463486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simcox, Alison","contributorId":45940,"corporation":false,"usgs":true,"family":"Simcox","given":"Alison","affiliations":[],"preferred":false,"id":463484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kamman, Neil","contributorId":56892,"corporation":false,"usgs":true,"family":"Kamman","given":"Neil","email":"","affiliations":[],"preferred":false,"id":463487,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nacci, Diane","contributorId":72627,"corporation":false,"usgs":true,"family":"Nacci","given":"Diane","affiliations":[],"preferred":false,"id":463488,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robinson, Keith","contributorId":80277,"corporation":false,"usgs":true,"family":"Robinson","given":"Keith","affiliations":[],"preferred":false,"id":463489,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnston, John M.","contributorId":104318,"corporation":false,"usgs":true,"family":"Johnston","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463492,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hughes, Melissa M.","contributorId":8317,"corporation":false,"usgs":true,"family":"Hughes","given":"Melissa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463480,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnston, Craig","contributorId":53634,"corporation":false,"usgs":true,"family":"Johnston","given":"Craig","email":"","affiliations":[],"preferred":false,"id":463485,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evers, David","contributorId":34364,"corporation":false,"usgs":true,"family":"Evers","given":"David","affiliations":[],"preferred":false,"id":463482,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Williams, Kate","contributorId":93738,"corporation":false,"usgs":true,"family":"Williams","given":"Kate","affiliations":[],"preferred":false,"id":463490,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Graham, John","contributorId":19010,"corporation":false,"usgs":true,"family":"Graham","given":"John","affiliations":[],"preferred":false,"id":463481,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"King, Susannah","contributorId":103909,"corporation":false,"usgs":true,"family":"King","given":"Susannah","email":"","affiliations":[],"preferred":false,"id":463491,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70038192,"text":"sir20125060 - 2012 - Characterization of the Highway 95 Fault in lower Fortymile Wash using electrical and electromagnetic methods, Nye County, Nevada","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"sir20125060","displayToPublicDate":"2012-04-25T16:30:00","publicationYear":"2012","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":"2012-5060","title":"Characterization of the Highway 95 Fault in lower Fortymile Wash using electrical and electromagnetic methods, Nye County, Nevada","docAbstract":"<p>The Highway 95 Fault is a buried, roughly east-west trending growth fault at the southern extent of Yucca Mountain and Southwestern Nevada Volcanic Field. Little is known about the role of this fault in the movement of groundwater from the Yucca Mountain area to downgradient groundwater users in Amargosa Valley. The U.S. Geological Survey (USGS) Arizona Water Science Center (AZWSC), in cooperation with the Nye County Nuclear Waste Repository Project Office (NWRPO), has used direct current (DC) resistivity, controlled-source audio magnetotelluric (CSAMT), and transient electromagnetics (TEM) to better understand the fault. These geophysical surveys were designed to look at structures buried beneath the alluvium, following a transect of wells for lithologic control. Results indicate that the fault is just north of U.S. Highway 95, between wells NC-EWDP-2DB and -19D, and south of Highway 95, east of well NC-EWDP-2DB. The Highway 95 Fault may inhibit shallow groundwater movement by uplifting deep Paleozoic carbonates, effectively reducing the overlying alluvial aquifer thickness and restricting the movement of water. Upward vertical hydraulic gradients in wells proximal to the fault indicate that upward movement is occurring from deeper, higher-pressure aquifers.</p>\n<p>From December 2006 to January 2007, the USGS and NWRPO collected dipole-dipole DC resistivity data to characterize the Highway 95 Fault. Modeled data from the resistivity study agreed with mapped faults from gravity anomalies and highlighted a prominent fault within 1.5 km of Highway 95, thought to be the Highway 95 Fault. Results of the dipole-dipole resistivity survey warranted further study.</p>\n<p>From March to April of 2008, the USGS and Nye County continued their geophysical investigation of the Highway 95 Fault using TEM and CSAMT geophysical techniques. TEM and CSAMT data were collected along the same profile as the dipole-dipole resistivity data. Modeled data from these additional studies yielded similar results to the dipole-dipole resistivity study. An area of distinct resistivity change was detected within 1.5 km of Highway 95, and it is thought that this change is the Highway 95 Fault.</p>\n<p>Coordinated application of electrical and electromagnetic geophysical methods provided better characterization of the Highway 95 Fault. The comparison of dipole-dipole resistivity, TEM, and CSAMT data confirm faulting of an uplifted block of resistive Paleozoic Carbonate that lies beneath a more conductive sandstone unit. A more resistive alluvial basin-fill unit is found above the sandstone unit, and it constitutes only about 150 m of the uppermost subsurface.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125060","collaboration":"Prepared in cooperation with the Nye County Nuclear Waste Repository Project Office","usgsCitation":"Macy, J.P., Kryder, L., and Walker, J., 2012, Characterization of the Highway 95 Fault in lower Fortymile Wash using electrical and electromagnetic methods, Nye County, Nevada: U.S. Geological Survey Scientific Investigations Report 2012-5060, vi, 31 p.; Appendix, https://doi.org/10.3133/sir20125060.","productDescription":"vi, 31 p.; Appendix","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":254605,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5060.gif"},{"id":254593,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5060/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","county":"Nye","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.83333333333333,36.333333333333336 ], [ -116.83333333333333,37 ], [ -116.08333333333333,37 ], [ -116.08333333333333,36.333333333333336 ], [ -116.83333333333333,36.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4e3e4b0c8380cd4bf9d","contributors":{"authors":[{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kryder, Levi","contributorId":25392,"corporation":false,"usgs":true,"family":"Kryder","given":"Levi","email":"","affiliations":[],"preferred":false,"id":463629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Jamieson","contributorId":87787,"corporation":false,"usgs":true,"family":"Walker","given":"Jamieson","email":"","affiliations":[],"preferred":false,"id":463630,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038162,"text":"ofr20121054 - 2012 - Florida Bay salinity and Everglades wetlands hydrology circa 1900 CE: A compilation of paleoecology-based statistical modeling analyses","interactions":[],"lastModifiedDate":"2014-08-15T09:09:54","indexId":"ofr20121054","displayToPublicDate":"2012-04-23T11:29:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1054","title":"Florida Bay salinity and Everglades wetlands hydrology circa 1900 CE: A compilation of paleoecology-based statistical modeling analyses","docAbstract":"<p>Throughout the 20th century, the Greater Everglades Ecosystem of south Florida was greatly altered by human activities. Construction of water-control structures and facilities altered the natural hydrologic patterns of the south Florida region and consequently impacted the coastal ecosystem. Restoration of the Greater Everglades Ecosystem is guided by the Comprehensive Everglades Restoration Plan (CERP), which is attempting to reverse some of the impacts of water management. In order to achieve this goal, it is essential to understand the predevelopment conditions (circa 1900 Common Era, CE) of the natural system, including the estuaries. The purpose of this report is to use empirical data derived from analyses of estuarine sediment cores and observations of modern hydrologic and salinity conditions to provide information on the natural system circa 1900 CE. A three-phase approach, developed in 2009, couples paleosalinity estimates derived from sediment cores to upstream hydrology using statistical models prepared from existing monitoring data. Results presented here update and improve previous analyses. A statistical method of estimating the paleosalinity from the core information improves the previous assemblage analyses, and the system of linear regression models was significantly upgraded and expanded.</p>\n<p>The upgraded method of coupled paleosalinity and hydrologic models was applied to the analysis of the circa-1900 CE segments of five estuarine sediment cores collected in Florida Bay. Comparisons of the observed mean stage (water level) data to the paleoecology-based model's averaged output show that the estimated stage in the Everglades wetlands was 0.3 to 1.6 feet higher at different locations. Observed mean flow data compared to the paleoecology-based model output show an estimated flow into Shark River Slough at Tamiami Trail of 401 to 2,539 cubic feet per second (cfs) higher than existing flows, and at Taylor Slough Bridge an estimated flow of 48 to 218 cfs above existing flows. For salinity in Florida Bay, the difference between paleoecology-based and observed mean salinity varies across the bay, from an aggregated average salinity of 14.7 less than existing in the northeastern basin to 1.0 less than existing in the western basin near the transition into the Gulf of Mexico. When the salinity differences are compared by region, the difference between paleoecology-based conditions and existing conditions are spatially consistent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121054","usgsCitation":"Marshall, F., and Wingard, G., 2012, Florida Bay salinity and Everglades wetlands hydrology circa 1900 CE: A compilation of paleoecology-based statistical modeling analyses (Version 1.1; Originally posted April 10, 2012;  Revised August 15, 2014): U.S. Geological Survey Open-File Report 2012-1054, 32 p.; Tables; Appendix Download, https://doi.org/10.3133/ofr20121054.","productDescription":"32 p.; Tables; Appendix Download","onlineOnly":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":292251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121054.jpg"},{"id":254568,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1054/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Forida","otherGeospatial":"Everglades","edition":"Version 1.1; Originally posted April 10, 2012;  Revised August 15, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1227e4b0c8380cd541d7","contributors":{"authors":[{"text":"Marshall, F.E.","contributorId":103380,"corporation":false,"usgs":true,"family":"Marshall","given":"F.E.","email":"","affiliations":[],"preferred":false,"id":463539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G.L.","contributorId":79981,"corporation":false,"usgs":true,"family":"Wingard","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":463538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038158,"text":"sir20115099 - 2012 - Projected climate and vegetation changes and potential biotic effects for Fort Benning, Georgia; Fort Hood, Texas; and Fort Irwin, California","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"sir20115099","displayToPublicDate":"2012-04-23T11:12:00","publicationYear":"2012","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":"2011-5099","title":"Projected climate and vegetation changes and potential biotic effects for Fort Benning, Georgia; Fort Hood, Texas; and Fort Irwin, California","docAbstract":"The responses of species and ecosystems to future climate changes will present challenges for conservation and natural resource managers attempting to maintain both species populations and essential habitat. This report describes projected future changes in climate and vegetation for three study areas surrounding the military installations of Fort Benning, Georgia, Fort Hood, Texas, and Fort Irwin, California. Projected climate changes are described for the time period 2070&ndash;2099 (30-year mean) as compared to 1961&ndash;1990 (30-year mean) for each study area using data simulated by the coupled atmosphere-ocean general circulation models CCSM3, CGCM3.1(T47), and UKMO-HadCM3, run under the B1, A1B, and A2 future greenhouse gas emissions scenarios. These climate data are used to simulate potential changes in important components of the vegetation for each study area using LPJ, a dynamic global vegetation model, and LPJ-GUESS, a dynamic vegetation model optimized for regional studies. The simulated vegetation results are compared with observed vegetation data for the study areas. Potential effects of the simulated future climate and vegetation changes for species and habitats of management concern are discussed in each study area, with a particular focus on federally listed threatened and endangered species.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115099","collaboration":"Prepared in cooperation with the U.S. Department of Defense Strategic Environmental Research and Development Program (SERDP)","usgsCitation":"Shafer, S., Atkins, J., Bancroft, B., Bartlein, P., Lawler, J., Smith, B., and Wilsey, C., 2012, Projected climate and vegetation changes and potential biotic effects for Fort Benning, Georgia; Fort Hood, Texas; and Fort Irwin, California: U.S. Geological Survey Scientific Investigations Report 2011-5099, viii, 46 p., https://doi.org/10.3133/sir20115099.","productDescription":"viii, 46 p.","onlineOnly":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":254573,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5099.png"},{"id":254567,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5099/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia;Texas;California","otherGeospatial":"Fort Benning;Fort Hood;Fort Irwin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8ef0e4b0c8380cd7f4a9","contributors":{"authors":[{"text":"Shafer, S.L.","contributorId":26789,"corporation":false,"usgs":true,"family":"Shafer","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":463534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkins, J.","contributorId":16686,"corporation":false,"usgs":true,"family":"Atkins","given":"J.","affiliations":[],"preferred":false,"id":463533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bancroft, B.A.","contributorId":107965,"corporation":false,"usgs":true,"family":"Bancroft","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":463537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartlein, P. J.","contributorId":54566,"corporation":false,"usgs":false,"family":"Bartlein","given":"P. J.","affiliations":[],"preferred":false,"id":463536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawler, J.J.","contributorId":8641,"corporation":false,"usgs":true,"family":"Lawler","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":463531,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, B.","contributorId":53740,"corporation":false,"usgs":true,"family":"Smith","given":"B.","affiliations":[],"preferred":false,"id":463535,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilsey, C.B.","contributorId":16251,"corporation":false,"usgs":true,"family":"Wilsey","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":463532,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70038189,"text":"sir20125037 - 2012 - <i>Escherichia coli</i> bacteria density in relation to turbidity, streamflow characteristics, and season in the Chattahoochee River near Atlanta, Georgia, October 2000 through September 2008&mdash;Description, statistical analysis, and predictive modeling","interactions":[],"lastModifiedDate":"2017-01-17T17:43:21","indexId":"sir20125037","displayToPublicDate":"2012-04-20T17:16:00","publicationYear":"2012","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":"2012-5037","title":"<i>Escherichia coli</i> bacteria density in relation to turbidity, streamflow characteristics, and season in the Chattahoochee River near Atlanta, Georgia, October 2000 through September 2008&mdash;Description, statistical analysis, and predictive modeling","docAbstract":"<p>Water-based recreation&mdash;such as rafting, canoeing, and fishing&mdash;is popular among visitors to the Chattahoochee River National Recreation Area (CRNRA) in north Georgia. The CRNRA is a 48-mile reach of the Chattahoochee River upstream from Atlanta, Georgia, managed by the National Park Service (NPS). Historically, high densities of fecal-indicator bacteria have been documented in the Chattahoochee River and its tributaries at levels that commonly exceeded Georgia water-quality standards. In October 2000, the NPS partnered with the U.S. Geological Survey (USGS), State and local agencies, and non-governmental organizations to monitor Escherichia coli bacteria (<i>E. coli</i>) density and develop a system to alert river users when <i>E. coli</i> densities exceeded the U.S. Environmental Protection Agency (USEPA) single-sample beach criterion of 235 colonies (most probable number) per 100 milliliters (MPN/100 mL) of water. This program, called BacteriALERT, monitors <i>E. coli</i> density, turbidity, and water temperature at two sites on the Chattahoochee River upstream from Atlanta, Georgia. This report summarizes <i>E. coli</i> bacteria density and turbidity values in water samples collected between 2000 and 2008 as part of the BacteriALERT program; describes the relations between <i>E. coli</i> density and turbidity, streamflow characteristics, and season; and describes the regression analyses used to develop predictive models that estimate <i>E. coli</i> density in real time at both sampling sites.</p>\n<p>Between October 23, 2000, and September 30, 2008, about 1,400 water samples were collected and turbidity was measured at each of the two USGS streamgaging stations in the CRNRA near the cities of Norcross and Atlanta, Georgia. At both sites, water samples were collected at frequencies ranging from daily to twice per week and analyzed in the laboratory for <i>E. coli</i> bacteria, using the Colilert-18&reg; and Quanti-tray-2000&reg; defined substrate method, and turbidity. Beginning in mid-2002, turbidity and water temperature were measured in real time at both sites. Streamflow at both sites is affected by the operation of two hydroelectric facilities upstream that release water in response to daily peak power demands in the area. During dry weather, offpeak water released from both dams ranges from about 600 to 1,500 cubic feet per second.</p>\n<p>During dry weather, 98 and 93 percent of water samples from Norcross and Atlanta sites, respectively, contained <i>E. coli</i> densities below the USEPA single-sample beach criterion (235 MPN/100 mL). Conversely during stormflow, only 26 percent of the samples from Norcross and 10 percent of the samples from Atlanta contained <i>E. coli</i> densities below the USEPA beach criterion. At both sites, median <i>E. coli</i> density and turbidity were statistically greater in stormflow samples than dry-weather samples. Furthermore, median <i>E. coli</i> density and turbidity were statistically lower at Norcross than at Atlanta during dry weather. During stormflow, median turbidity values were statistically similar at the two sites (36 and 35 formazin nephelometric units at Norcross and Atlanta, respectively); whereas the median <i>E. coli</i> density was statistically higher at Atlanta (810 MPN/100 mL) than at Norcross (530 MPN/100 mL). During dry weather, the maximum <i>E. coli</i> density was 1,200 MPN/100 mL at Norcross and 9,800 MPN/100 mL at Atlanta. During stormflow, the maximum <i>E. coli</i> density was 18,000 MPN/100 mL at Norcross and 28,000 MPN/100 mL at Atlanta.</p>\n<p>Regression analyses show that <i>E. coli</i> density in samples was strongly related to turbidity, streamflow characteristics, and season at both sites. The regression equation chosen for the Norcross data showed that 78 percent of the variability in <i>E. coli</i> density (in log base 10 units) was explained by the variability in turbidity values (in log base 10 units), streamflow event (dry-weather flow or stormflow), season (cool or warm), and an interaction term that is the cross product of streamflow event and turbidity. The regression equation chosen for the Atlanta data showed that 76 percent of the variability in <i>E. coli</i> density (in log base 10 units) was explained by the variability in turbidity values (in log base 10 units), water temperature, streamflow event, and an interaction term that is the cross product of streamflow event and turbidity. Residual analysis and model confirmation using new data indicated the regression equations selected at both sites predicted <i>E. coli</i> density within the 90 percent prediction intervals of the equations and could be used to predict <i>E. coli</i> density in real time at both sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125037","collaboration":"Prepared in cooperation with the National Park Service, Upper Chattahoochee Riverkeeper, and Cobb County, Georgia","usgsCitation":"Lawrence, S.J., 2012, <i>Escherichia coli</i> bacteria density in relation to turbidity, streamflow characteristics, and season in the Chattahoochee River near Atlanta, Georgia, October 2000 through September 2008&mdash;Description, statistical analysis, and predictive modeling: U.S. Geological Survey Scientific Investigations Report 2012-5037, xiv, 58 p.; Appendices, https://doi.org/10.3133/sir20125037.","productDescription":"xiv, 58 p.; Appendices","onlineOnly":"Y","temporalStart":"2000-10-23","temporalEnd":"2008-09-30","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":254600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5037.jpg"},{"id":254595,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5037/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","county":"Cobb County","city":"Atlanta","otherGeospatial":"Chattahoochee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.80062103271484,\n              34.00457359375746\n            ],\n            [\n              -83.42433929443357,\n              34.63292542249386\n            ],\n            [\n              -83.53008270263669,\n              34.67302921203181\n            ],\n            [\n              -83.67565155029295,\n              34.67415861524134\n            ],\n            [\n              -83.74706268310545,\n              34.6244503086108\n            ],\n            [\n              -83.77246856689452,\n              34.58093109811126\n            ],\n            [\n              -84.41585540771483,\n              34.46778770509373\n            ],\n            [\n              -84.65755462646483,\n              34.05920153948415\n            ],\n            [\n              -85.10799407958982,\n              33.22691345261128\n            ],\n            [\n              -85.36067962646483,\n              32.913891446880406\n            ],\n            [\n              -85.37166595458982,\n              32.433005140150016\n            ],\n            [\n              -85.63533782958982,\n              31.491627039818532\n            ],\n            [\n              -85.92098236083983,\n              30.446009887036432\n            ],\n            [\n              -85.80013275146482,\n              29.952257363232995\n            ],\n            [\n              -85.32772064208983,\n              29.742618848931166\n            ],\n            [\n              -85.27278900146482,\n              29.522981756190593\n            ],\n            [\n              -85.05306243896482,\n              29.465606448299365\n            ],\n            [\n              -84.814453125,\n              29.668962525992505\n            ],\n            [\n              -84.61669921875,\n              29.6880527498568\n            ],\n            [\n              -84.44091796875,\n              29.76437737516313\n            ],\n            [\n              -84.44091796875,\n              30.012030680358613\n            ],\n            [\n              -84.35302734375,\n              30.600093873550072\n            ],\n            [\n              -84.2486572265625,\n              31.064698120353743\n            ],\n            [\n              -83.84490966796875,\n              31.508312698943445\n            ],\n            [\n              -83.7432861328125,\n              32.01972036197235\n            ],\n            [\n              -83.84181976318358,\n              32.42141355642937\n            ],\n            [\n              -84.49275970458984,\n              32.950775326763974\n            ],\n            [\n              -84.51473236083982,\n              33.52966151776439\n            ],\n            [\n              -83.80062103271484,\n              34.00457359375746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4937e4b0b290850eefd8","contributors":{"authors":[{"text":"Lawrence, Stephen J. slawrenc@usgs.gov","contributorId":1885,"corporation":false,"usgs":true,"family":"Lawrence","given":"Stephen","email":"slawrenc@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463624,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038142,"text":"sim3204 - 2012 - Transmissivity of the Upper Floridan aquifer in Florida and parts of Georgia, South Carolina, and Alabama","interactions":[],"lastModifiedDate":"2017-01-13T09:28:18","indexId":"sim3204","displayToPublicDate":"2012-04-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3204","title":"Transmissivity of the Upper Floridan aquifer in Florida and parts of Georgia, South Carolina, and Alabama","docAbstract":"The Floridan aquifer system (FAS) covers an area of approximately 100,000 square miles in Florida and parts of Georgia, South Carolina, Alabama, and Mississippi. Groundwater wells for water supply were first drilled in the late 1800s and by the year 2000, the FAS was the primary source of drinking water for about 10 million people. One of the methods for assessing groundwater availability is the development of regional or subregional groundwater flow models of the aquifer system that can be used to develop water budgets spatially and temporally, as well as evaluate the groundwater resource change over time. Understanding the distribution of transmissivity within the FAS is critical to the development of groundwater flow models. The map presented herein differs from previously published maps of the FAS in that it is based on interpolation of 1,487 values of transmissivity. The transmissivity values in the dataset range from 8 to 9,000,000 feet squared per day (ft<sup>2</sup>/d) with the majority of the values ranging from 10,000 to 100,000 ft<sup>2</sup>/d. The wide range in transmissivity (6 orders of magnitude) is typical of carbonate rock aquifers, which are characterized by a wide range in karstification. Commonly, the range in transmissivity is greatest in areas where groundwater flow creates conduits in facies that dissolve more readily or areas of high porosity units that have interconnected vugs, with diameters greater than 0.1 foot. These are also areas where transmissivity is largest. Additionally, first magnitude springsheds and springs are shown because in these springshed areas, the estimates of transmissivity from interpolation may underestimate the actual range in transmissivity. Also shown is an area within the Gulf Trough in Georgia where high yielding wells are unlikely to be developed in the Upper Floridan aquifer. The interpolated transmissivity ranges shown on this map reflect the geologic structure and karstified areas. Transmissivity is large in the areas where the system is unconfined, such as west-central Florida and southwest Georgia just northwest of the Gulf Trough. Transmissivity is small along the Gulf Trough and Southwest Georgia Embayment (referred to as Apalachicola Embayment in some reports). Transmissivity is also small in the thin, updip part of the system near its northern boundary. Another area of large transmissivity coincides with the Southeast Georgia Embayment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3204","collaboration":"A Product of the U.S. Geological Survey Groundwater Resources Program","usgsCitation":"Kuniansky, E.L., Bellino, J.C., and Dixon, J.F., 2012, Transmissivity of the Upper Floridan aquifer in Florida and parts of Georgia, South Carolina, and Alabama: U.S. Geological Survey Scientific Investigations Map 3204, 1 Map: 26 inches x 32 inches; Zip File: Spacial Datasets, https://doi.org/10.3133/sim3204.","productDescription":"1 Map: 26 inches x 32 inches; Zip File: Spacial Datasets","onlineOnly":"Y","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":254563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3204.jpg"},{"id":254561,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3204/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Albers Conical Equal Area","datum":"North American Datum 1983","country":"United States","state":"Alabama, Florida, Georgia, South Carolina","otherGeospatial":"Upper Floridan Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,24 ], [ -89,33.25 ], [ -79.5,33.25 ], [ -79.5,24 ], [ -89,24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb72fe4b08c986b3270e2","contributors":{"authors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":463506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bellino, Jason C. 0000-0001-9046-9344 jbellino@usgs.gov","orcid":"https://orcid.org/0000-0001-9046-9344","contributorId":3724,"corporation":false,"usgs":true,"family":"Bellino","given":"Jason","email":"jbellino@usgs.gov","middleInitial":"C.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":463508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dixon, Joann F. 0000-0001-9200-6407 jdixon@usgs.gov","orcid":"https://orcid.org/0000-0001-9200-6407","contributorId":1756,"corporation":false,"usgs":true,"family":"Dixon","given":"Joann","email":"jdixon@usgs.gov","middleInitial":"F.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463507,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038133,"text":"ofr20121067 - 2012 - Effects of Iron Gate Dam discharge and other factors on the survival and migration of juvenile coho salmon in the lower Klamath River, northern California, 2006-09","interactions":[],"lastModifiedDate":"2012-05-04T17:16:09","indexId":"ofr20121067","displayToPublicDate":"2012-04-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1067","title":"Effects of Iron Gate Dam discharge and other factors on the survival and migration of juvenile coho salmon in the lower Klamath River, northern California, 2006-09","docAbstract":"Current management of the Klamath River includes prescribed minimum discharges intended partly to increase survival of juvenile coho salmon during their seaward migration in the spring. To determine if fish survival was related to river discharge, we estimated apparent survival and migration rates of yearling coho salmon in the Klamath River downstream of Iron Gate Dam. The primary goals were to determine if discharge at Iron Gate Dam affected coho salmon survival and if results from hatchery fish could be used as a surrogate for the limited supply of wild fish. Fish from hatchery and wild origins that had been surgically implanted with radio transmitters were released into the Klamath River slightly downstream of Iron Gate Dam at river kilometer 309. Tagged fish were used to estimate apparent survival between, and passage rates at, a series of detection sites as far downstream as river kilometer 33. Conclusions were based primarily on data from hatchery fish, because wild fish were only available in 2 of the 4 years of study. Based on an information-theoretic approach, apparent survival of hatchery and wild fish was similar, despite differences in passage rates and timing, and was lowest in the 54 kilometer (km) reach between release and the Scott River. Models representing the hypothesis that a short-term tagging- or handling-related mortality occurred following release were moderately supported by data from wild fish and weakly supported by data from hatchery fish. Estimates of apparent survival of hatchery fish through the 276 km study area ranged from 0.412 (standard error [SE] 0.048) to 0.648 (SE 0.070), depending on the year, and represented an average of 0.790 per 100 km traveled. Estimates of apparent survival of wild fish through the study area were 0.645 (SE 0.058) in 2006 and 0.630 (SE 0.059) in 2009 and were nearly identical to the results from hatchery fish released on the same dates. The data and models examined supported positive effects of water temperature, river discharge, and fish weight as factors affecting apparent survival in the Klamath River upstream of the confluence with the Shasta River, but few of the variables examined were supported as factors affecting survival farther downstream. The effect of water temperature on apparent survival upstream of the Shasta River was greater than Iron Gate Dam discharge, which was greater than fish weight. The estimated effect on apparent survival between release and the Shasta River with each 1degree Celsius increase in water temperature was 1.4 times the effect of a 100 cubic feet per second increase in Iron Gate Dam discharge and 2.5 times the effect of a 1 gram increase in fish weight, and the effects of discharge and weight diminished at higher water temperatures up to the 17.91 degrees Celsius maximum present in the data examined. The rate of passage at the detection site near the confluence with the Shasta River was primarily affected by date of release, and water temperature was the only factor supported at the site near the confluence with the Scott River. Passage rates at sites downstream of the Scott River were affected by several of the variables examined, but the estimated effects were small and often imprecise. Results from this study indicate that discharge at Iron Gate Dam has a positive effect on apparent survival of yearling coho salmon in the Klamath River upstream of the Shasta River, but the effects are smaller than those of water temperature and are mediated by it. The results also support the use of hatchery fish as surrogates for wild fish in studies of apparent survival, but the available evidence suggests that study fish should be released well upstream of the area of interest, due to short-term differences in survival and migration behavior of hatchery and wild fish after release.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121067","usgsCitation":"Beeman, J., Juhnke, S., Stutzer, G., and Wright, K., 2012, Effects of Iron Gate Dam discharge and other factors on the survival and migration of juvenile coho salmon in the lower Klamath River, northern California, 2006-09: U.S. Geological Survey Open-File Report 2012-1067, viii, 60 p.; Appendices, https://doi.org/10.3133/ofr20121067.","productDescription":"viii, 60 p.; Appendices","startPage":"i","endPage":"96","numberOfPages":"104","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2009-01-01","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":254560,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1067.jpg"},{"id":254672,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1067/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Klamath River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0657e4b0c8380cd511ed","contributors":{"authors":[{"text":"Beeman, John","contributorId":14559,"corporation":false,"usgs":true,"family":"Beeman","given":"John","affiliations":[],"preferred":false,"id":463474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juhnke, Steven","contributorId":43465,"corporation":false,"usgs":true,"family":"Juhnke","given":"Steven","affiliations":[],"preferred":false,"id":463476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stutzer, Greg","contributorId":64753,"corporation":false,"usgs":true,"family":"Stutzer","given":"Greg","email":"","affiliations":[{"id":13396,"text":"U.S. Fish and Wildlife Service, Arcata FWO, Arcata, CA  95521","active":true,"usgs":false}],"preferred":false,"id":463477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Katrina","contributorId":42468,"corporation":false,"usgs":true,"family":"Wright","given":"Katrina","affiliations":[],"preferred":false,"id":463475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038129,"text":"ofr20121062 - 2012 - Migration rates and formation injectivity to determine containment time scales of sequestered carbon dioxide","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"ofr20121062","displayToPublicDate":"2012-04-18T10:29:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1062","title":"Migration rates and formation injectivity to determine containment time scales of sequestered carbon dioxide","docAbstract":"<p>Supercritical carbon dioxide exhibits highly variable behavior over a range of reservoir pressure and temperature conditions. Because geologic sequestration of supercritical carbon dioxide is targeted for subsurface injection and containment at depths ranging from approximately 3,000 to 13,000 feet, the investigation into the physical properties of this fluid can be restricted to the pressure and temperature conditions likely encountered in the sedimentary strata within this depth interval. A petrophysical based approach was developed to study the widest range of formation properties potentially encountered in sedimentary strata. Fractional porosities were varied from 5 to 95 percent, in 5-percent increments, and permeability values were varied over thirteen orders of magnitude, from 10.0 darcys down to 1.0 picodarcy.</p>\n<p>Fluid-flow modeling incorporated two constitutive equations from fluid dynamics: hydraulic diffusivity for near-surface applications, and Darcy's Law for deeper formations exhibiting higher pressure gradients. Based on the flow modeling results, first-order approximations of carbon dioxide lateral migration rates were determined. These first-order approximations enable the establishment of a permeability classification system for dividing the subsurface into flow units that provide short, moderate, and long-term containment of carbon dioxide. These results enable a probabilistic determination of how fluids will enter and be contained in a subsurface storage formation, which is a vital step in the calculation of the carbon dioxide storage capacity of a reservoir.</p>\n<p>Additionally, this research establishes a methodology to calculate the injectivity of a target formation. Because injectivity describes the pressure increase due to the introduction of fluids into a formation, the relevant application of injectivity is to determine the pressure increase, due to an injection volume and flow rate, that will induce fractures in the reservoir rocks. This quantity is defined mathematically as the maximum pressure differential between the hydrostatic gradient and the fracture gradient of the target formation. Injectivity is mathematically related to the maximum pressure differential of the formation, and can be used to determine the upper limit for the pressure increase that an injection target can withstand before fracturing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121062","usgsCitation":"Burke, L., 2012, Migration rates and formation injectivity to determine containment time scales of sequestered carbon dioxide: U.S. Geological Survey Open-File Report 2012-1062, v, 23 p., https://doi.org/10.3133/ofr20121062.","productDescription":"v, 23 p.","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":254555,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1062.png"},{"id":254551,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1062/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5716e4b0c8380cd6da4c","contributors":{"authors":[{"text":"Burke, Lauri 0000-0002-2035-8048","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":44891,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","affiliations":[],"preferred":false,"id":463472,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038126,"text":"fs20123047 - 2012 - USGS Hydro-Climatic Data Network 2009 (HCDN-2009)","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"fs20123047","displayToPublicDate":"2012-04-18T10:17:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3047","title":"USGS Hydro-Climatic Data Network 2009 (HCDN-2009)","docAbstract":"<p>The U.S. Geological Survey's (USGS) Hydro-Climatic Data Network (HCDN) is a subset of all USGS streamgages for which the streamflow primarily reflects prevailing meteorological conditions for specified years. These stations were screened to exclude sites where human activities, such as artificial diversions, storage, and other activities in the drainage basin or the stream channel, affect the natural flow of the watercourse. In addition, sites were included in the network because their record length was sufficiently long for analysis of patterns in streamflow over time. The purpose of the network is to provide a streamflow dataset suitable for analyzing hydrologic variations and trends in a climatic context. When originally published, the network was composed of 1,659 stations (Slack and Landwehr, 1992) for which the years of primarily \"natural\" flow were identified. Since then data from the HCDN have been widely used and cited in climate-related hydrologic investigations of the United States. The network has also served as a model for establishing climate-sensitive streamgage networks in other countries around the world.</p>\n<p>After nearly two decades of use without undergoing a systematic revalidation, questions have arisen as to whether many of the original stations still maintain their climate-sensitive status or even remain operational, as some are known to have closed. Some watersheds had been altered to the point that stations no longer meet the minimal disturbance criteria set forth in the original HCDN report. In addition, some sites that did not qualify as HCDN sites in 1988 (the last year of data evaluation) because their records were too short now have sufficiently long streamflow records for climate-sensitivity studies. Accordingly, a review of the existing network was initiated in 2009 in order to drop old stations and add new ones as appropriate.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123047","usgsCitation":"Lins, H.F., 2012, USGS Hydro-Climatic Data Network 2009 (HCDN-2009): U.S. Geological Survey Fact Sheet 2012-3047, 4 p., https://doi.org/10.3133/fs20123047.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"links":[{"id":254553,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3047.gif"},{"id":254550,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3047/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbb95e4b08c986b3286f0","contributors":{"authors":[{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":463465,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193786,"text":"70193786 - 2012 - Site choice among Minnesota walleye anglers: The influence of resource conditions, regulations and catch orientation on Lake Preference","interactions":[],"lastModifiedDate":"2017-11-08T14:10:41","indexId":"70193786","displayToPublicDate":"2012-04-18T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Site choice among Minnesota walleye anglers: The influence of resource conditions, regulations and catch orientation on Lake Preference","docAbstract":"<p><span>Understanding angler site choice preferences is important in the management of recreational fisheries to forecast angling demand and effort. This study investigated lake choice by recreational anglers fishing for walleye&nbsp;</span><i>Sander vitreus</i><span><span>&nbsp;</span>in Minnesota and examined how choices were influenced by lake characteristics, angler demographics, and angler catch orientation. We collected data through a stated choice preference experiment using a survey administered to a sample of Minnesota resident (</span><i>n</i><span>=1096) and nonresident (</span><i>n</i><span>=535) anglers. Multinomial probit choice models were used to estimate preferences in lake choice. Lake characteristics included walleye abundance, walleye size, bag limit, slot limit, and distance from primary residence. Models included (1) lake characteristics only, (2) lake characteristics and angler demographics, and (3) lake characteristics with angler demographics and catch orientation factors. The coefficients of lake attributes had expected signs with greater preference for higher walleye abundance, larger walleye, bigger bag limits, absence of slot limits, and less driving time from home (</span><i>P</i><span>&lt;0.001 for all lake characteristics in the first model). Lake choice was influenced by the interaction of lake characteristics with age (negative with abundance of fish,<span>&nbsp;</span></span><i>P</i><span>&lt;0.100; positive with distance from home,<span>&nbsp;</span></span><i>P</i><span>&lt;0.001), metropolitan and out-of-state residency (positive with distance from home,<span>&nbsp;</span></span><i>P</i><span>&lt;0.001), and strength of preference for walleye (positive with distance,<span>&nbsp;</span></span><i>P</i><span>&lt;0.01). A stronger orientation to keep walleye was positively related to increased bag limits (</span><i>P</i><span>&lt;0.001) and negatively related to slot limits (</span><i>P</i><span>&lt;0.01). Study results have clear implications for managers—bag limits, relative to other lake characteristics, had a large influence on anglers’ lake choice for walleye fishing. Because of a stronger catch orientation among walleye anglers, low bag limits reduce lake preference. The results clarify the trade-offs that anglers make when selecting a place to fish for walleye and demonstrate how different management scenarios might influence angler participation.</span></p>","language":"English","publisher":"Informa UK ","doi":"10.1080/02755947.2012.675952","usgsCitation":"Carlin, C., Schroeder, S., and Fulton, D.C., 2012, Site choice among Minnesota walleye anglers: The influence of resource conditions, regulations and catch orientation on Lake Preference: North American Journal of Fisheries Management, v. 32, no. 2, p. 299-312, https://doi.org/10.1080/02755947.2012.675952.","productDescription":"13 p.","startPage":"299","endPage":"312","ipdsId":"IP-034031","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.204691,46.704041],[-92.205192,46.698341],[-92.183091,46.695241],[-92.176091,46.686341],[-92.204092,46.666941],[-92.201592,46.656641],[-92.207092,46.651941],[-92.242493,46.649241],[-92.256592,46.658741],[-92.270592,46.650741],[-92.274392,46.657441],[-92.286192,46.660342],[-92.287392,46.667342],[-92.291292,46.668142],[-92.292192,46.663308],[-92.294033,46.074377],[-92.332912,46.062697],[-92.35176,46.015685],[-92.372717,46.014198],[-92.410649,46.027259],[-92.428555,46.024241],[-92.442259,46.016177],[-92.453373,45.992913],[-92.464512,45.985038],[-92.461138,45.980216],[-92.469354,45.973811],[-92.527052,45.983245],[-92.548459,45.969056],[-92.551186,45.95224],[-92.60246,45.940815],[-92.614314,45.934529],[-92.638824,45.934166],[-92.638474,45.925971],[-92.659549,45.922937],[-92.676167,45.912072],[-92.675737,45.907478],[-92.707702,45.894901],[-92.734039,45.868108],[-92.739278,45.84758],[-92.765146,45.830183],[-92.757815,45.806574],[-92.776496,45.790014],[-92.784621,45.764196],[-92.809837,45.744172],[-92.869193,45.717568],[-92.870025,45.697272],[-92.875488,45.689014],[-92.887929,45.639006],[-92.882529,45.610216],[-92.886442,45.598679],[-92.883749,45.575483],[-92.871082,45.567581],[-92.823309,45.560934],[-92.770223,45.566939],[-92.726082,45.541112],[-92.726677,45.514462],[-92.702224,45.493046],[-92.680234,45.464344],[-92.653549,45.455346],[-92.646602,45.441635],[-92.650422,45.398507],[-92.664102,45.393309],[-92.676961,45.380137],[-92.678223,45.373604],[-92.70272,45.358472],[-92.698967,45.336374],[-92.709968,45.321302],[-92.737122,45.300459],[-92.761013,45.289028],[-92.760615,45.278827],[-92.751659,45.26591],[-92.760249,45.2496],[-92.751708,45.218666],[-92.763908,45.204866],[-92.767408,45.190166],[-92.764872,45.182812],[-92.752404,45.173916],[-92.757707,45.155466],[-92.739584,45.115598],[-92.744938,45.108309],[-92.791528,45.079647],[-92.803079,45.060978],[-92.793282,45.047178],[-92.770362,45.033803],[-92.76206,45.02432],[-92.771231,45.001378],[-92.769445,44.97215],[-92.754603,44.955767],[-92.750645,44.937299],[-92.758701,44.908979],[-92.774571,44.898084],[-92.773946,44.889997],[-92.764133,44.875905],[-92.769102,44.862167],[-92.765278,44.837186],[-92.78043,44.812589],[-92.785206,44.792303],[-92.805287,44.768361],[-92.807988,44.75147],[-92.787906,44.737432],[-92.737259,44.717155],[-92.700948,44.693751],[-92.660988,44.660884],[-92.632105,44.649027],[-92.619779,44.634195],[-92.621456,44.615017],[-92.601516,44.612052],[-92.586216,44.600088],[-92.569434,44.603539],[-92.549777,44.58113],[-92.549957,44.568988],[-92.540551,44.567258],[-92.518358,44.575183],[-92.493808,44.566063],[-92.481001,44.568276],[-92.455105,44.561886],[-92.433256,44.5655],[-92.399281,44.558292],[-92.361518,44.558935],[-92.336114,44.554004],[-92.314071,44.538014],[-92.302466,44.516487],[-92.302215,44.500298],[-92.291005,44.485464],[-92.232472,44.445434],[-92.195378,44.433792],[-92.124513,44.422115],[-92.111085,44.413948],[-92.078605,44.404869],[-92.056486,44.402729],[-92.038147,44.388731],[-91.970266,44.365842],[-91.941311,44.340978],[-91.92559,44.333548],[-91.918625,44.322671],[-91.913534,44.311392],[-91.924613,44.291815],[-91.896388,44.27469],[-91.896008,44.262871],[-91.88704,44.251772],[-91.892698,44.231105],[-91.877429,44.212921],[-91.872369,44.199167],[-91.829167,44.17835],[-91.808064,44.159262],[-91.751747,44.134786],[-91.721552,44.130342],[-91.710597,44.12048],[-91.708207,44.105186],[-91.69531,44.09857],[-91.68153,44.0974],[-91.667006,44.086964],[-91.647873,44.064109],[-91.638115,44.063285],[-91.610487,44.04931],[-91.59207,44.031372],[-91.507121,44.01898],[-91.48087,44.008145],[-91.463515,44.009041],[-91.432522,43.996827],[-91.407395,43.965148],[-91.385785,43.954239],[-91.366642,43.937463],[-91.357426,43.917231],[-91.347741,43.911964],[-91.338141,43.897664],[-91.320605,43.888491],[-91.310991,43.867381],[-91.284138,43.847065],[-91.262436,43.792166],[-91.244135,43.774667],[-91.255431,43.744876],[-91.255932,43.729849],[-91.268455,43.709824],[-91.273252,43.666623],[-91.271749,43.654929],[-91.262397,43.64176],[-91.268748,43.615348],[-91.232707,43.583533],[-91.232812,43.564842],[-91.243214,43.550722],[-91.243183,43.540309],[-91.232941,43.523967],[-91.218292,43.514434],[-91.217706,43.50055],[-96.453049,43.500415],[-96.453067,45.298115],[-96.489065,45.357071],[-96.521787,45.375645],[-96.562142,45.38609],[-96.617726,45.408092],[-96.680454,45.410499],[-96.692541,45.417338],[-96.731396,45.45702],[-96.76528,45.521414],[-96.857751,45.605962],[-96.844211,45.639583],[-96.835769,45.649648],[-96.760866,45.687518],[-96.745086,45.701576],[-96.662595,45.738682],[-96.641941,45.759871],[-96.627778,45.786239],[-96.583085,45.820024],[-96.574517,45.843098],[-96.561334,45.945655],[-96.57035,45.963595],[-96.57794,46.026874],[-96.559271,46.058272],[-96.554507,46.083978],[-96.557952,46.102442],[-96.56692,46.11475],[-96.563043,46.119512],[-96.571439,46.12572],[-96.56926,46.133686],[-96.579453,46.147601],[-96.577952,46.165843],[-96.587408,46.178164],[-96.584372,46.204155],[-96.59755,46.227733],[-96.598645,46.241626],[-96.590942,46.250183],[-96.59887,46.26069],[-96.595014,46.275135],[-96.60136,46.30413],[-96.599761,46.330386],[-96.619991,46.340135],[-96.618147,46.344295],[-96.629211,46.352654],[-96.644335,46.351908],[-96.646341,46.360982],[-96.655206,46.365964],[-96.658436,46.373391],[-96.666028,46.374566],[-96.669132,46.390037],[-96.680687,46.407383],[-96.688082,46.40788],[-96.701358,46.420584],[-96.703078,46.429467],[-96.718074,46.438255],[-96.715557,46.463232],[-96.73627,46.48138],[-96.737798,46.489785],[-96.733612,46.497224],[-96.737702,46.50077],[-96.738475,46.525793],[-96.744341,46.533006],[-96.743003,46.54294],[-96.74883,46.558127],[-96.744436,46.56596],[-96.746442,46.574078],[-96.772446,46.600129],[-96.774094,46.613288],[-96.78995,46.631531],[-96.790663,46.649112],[-96.798823,46.658071],[-96.792958,46.677427],[-96.784339,46.685054],[-96.790906,46.70297],[-96.779252,46.727429],[-96.784279,46.732993],[-96.781216,46.740944],[-96.787466,46.756753],[-96.784314,46.766973],[-96.796195,46.789881],[-96.795756,46.807795],[-96.801446,46.810401],[-96.80016,46.819664],[-96.787657,46.827817],[-96.789663,46.832306],[-96.779347,46.843672],[-96.781358,46.879363],[-96.768458,46.879563],[-96.767358,46.883663],[-96.773558,46.884763],[-96.776558,46.895663],[-96.759241,46.918223],[-96.761757,46.934663],[-96.78312,46.925482],[-96.79038,46.929398],[-96.791558,46.944464],[-96.797734,46.9464],[-96.798737,46.962399],[-96.821852,46.969372],[-96.82318,46.999965],[-96.834221,47.006671],[-96.829499,47.021537],[-96.818557,47.02778],[-96.821422,47.032842],[-96.819321,47.0529],[-96.824479,47.059682],[-96.818175,47.104193],[-96.827344,47.120144],[-96.824807,47.124968],[-96.831547,47.142017],[-96.822377,47.162744],[-96.829637,47.17497],[-96.826962,47.182802],[-96.838806,47.197894],[-96.832789,47.203911],[-96.838806,47.22502],[-96.832946,47.237588],[-96.83766,47.240876],[-96.835368,47.250428],[-96.841672,47.258164],[-96.838997,47.267716],[-96.842531,47.269531],[-96.844088,47.289981],[-96.832884,47.30449],[-96.841958,47.316907],[-96.835845,47.321014],[-96.835845,47.335914],[-96.852417,47.366241],[-96.848907,47.370565],[-96.852676,47.374973],[-96.846925,47.376891],[-96.840621,47.389881],[-96.845492,47.394179],[-96.844919,47.399815],[-96.863593,47.418775],[-96.85748,47.440457],[-96.859868,47.470926],[-96.85471,47.478281],[-96.85853,47.489934],[-96.851653,47.497098],[-96.851367,47.509037],[-96.866363,47.524893],[-96.85471,47.535973],[-96.859153,47.566355],[-96.853689,47.570381],[-96.856373,47.575749],[-96.851293,47.589264],[-96.856903,47.602329],[-96.855421,47.60875],[-96.873671,47.613654],[-96.871005,47.616832],[-96.879496,47.620576],[-96.882393,47.633489],[-96.888573,47.63845],[-96.882376,47.649025],[-96.88697,47.653049],[-96.887126,47.666369],[-96.895271,47.67357],[-96.899352,47.689473],[-96.908928,47.688722],[-96.907266,47.693976],[-96.920119,47.710383],[-96.923544,47.718201],[-96.919471,47.722515],[-96.932809,47.737139],[-96.928505,47.748037],[-96.934173,47.752412],[-96.939179,47.768397],[-96.9644,47.782995],[-96.957283,47.790147],[-96.966068,47.797297],[-96.975131,47.798326],[-96.980579,47.805614],[-96.979327,47.824533],[-96.986685,47.837639],[-96.998295,47.841724],[-96.998144,47.858882],[-97.005557,47.863977],[-97.002456,47.868677],[-97.023156,47.874978],[-97.019355,47.880278],[-97.024955,47.886878],[-97.019155,47.889778],[-97.024955,47.894978],[-97.020155,47.900478],[-97.024955,47.908178],[-97.017254,47.905678],[-97.015354,47.910278],[-97.023754,47.915878],[-97.018054,47.918078],[-97.035754,47.930179],[-97.036054,47.939379],[-97.054554,47.946279],[-97.052454,47.957179],[-97.061454,47.96358],[-97.053553,47.991612],[-97.064289,47.998508],[-97.066762,48.009558],[-97.063012,48.013179],[-97.072239,48.019107],[-97.068987,48.026267],[-97.072257,48.048068],[-97.097772,48.07108],[-97.103052,48.071669],[-97.099431,48.082106],[-97.105226,48.09044],[-97.104872,48.097851],[-97.109535,48.104723],[-97.123205,48.106648],[-97.120702,48.114987],[-97.131956,48.139563],[-97.141401,48.14359],[-97.138911,48.157793],[-97.146745,48.168556],[-97.141474,48.179099],[-97.146233,48.186054],[-97.134372,48.210434],[-97.136304,48.228984],[-97.141254,48.234668],[-97.135763,48.237596],[-97.138765,48.244991],[-97.127276,48.253323],[-97.131846,48.267589],[-97.11657,48.279661],[-97.12216,48.290056],[-97.128862,48.292882],[-97.122072,48.300865],[-97.132443,48.315489],[-97.127601,48.323319],[-97.134854,48.331314],[-97.131145,48.339722],[-97.147748,48.359905],[-97.140106,48.380479],[-97.145592,48.394195],[-97.135012,48.406735],[-97.142849,48.419471],[-97.1356,48.424369],[-97.139173,48.430528],[-97.134229,48.439797],[-97.137689,48.447583],[-97.132746,48.459942],[-97.144116,48.469212],[-97.141397,48.476256],[-97.144981,48.481571],[-97.140291,48.484722],[-97.138864,48.494362],[-97.148133,48.503384],[-97.153076,48.524148],[-97.150481,48.536877],[-97.163105,48.543855],[-97.160863,48.549236],[-97.152459,48.552326],[-97.158638,48.564067],[-97.149616,48.569876],[-97.14974,48.579516],[-97.142915,48.583733],[-97.143684,48.597066],[-97.137504,48.612268],[-97.132931,48.61338],[-97.130089,48.621166],[-97.125639,48.620919],[-97.125269,48.629694],[-97.108466,48.632658],[-97.111921,48.642918],[-97.100551,48.658614],[-97.102652,48.664793],[-97.097708,48.68395],[-97.118286,48.700573],[-97.116185,48.709348],[-97.136083,48.727763],[-97.139488,48.746611],[-97.151289,48.757428],[-97.147478,48.763698],[-97.154854,48.774515],[-97.157093,48.790024],[-97.163535,48.79507],[-97.165624,48.809627],[-97.180028,48.81845],[-97.177747,48.824815],[-97.181116,48.832741],[-97.173811,48.838309],[-97.175618,48.853105],[-97.187362,48.867598],[-97.185738,48.87222],[-97.197982,48.880341],[-97.197982,48.898332],[-97.210541,48.90439],[-97.211161,48.916649],[-97.217992,48.919735],[-97.218666,48.931781],[-97.224505,48.9341],[-97.232147,48.948955],[-97.230859,48.960891],[-97.239209,48.968684],[-97.237297,48.985696],[-97.230833,48.991303],[-97.229039,49.000687],[-95.153711,48.998903],[-95.15335,49.383079],[-95.126467,49.369439],[-95.058404,49.35317],[-95.014415,49.356405],[-94.988908,49.368897],[-94.957465,49.370186],[-94.854245,49.324154],[-94.816222,49.320987],[-94.824291,49.308834],[-94.82516,49.294283],[-94.797244,49.214284],[-94.797527,49.197791],[-94.773223,49.120733],[-94.750221,49.099763],[-94.750218,48.999992],[-94.718932,48.999991],[-94.683069,48.883929],[-94.684217,48.872399],[-94.692527,48.86895],[-94.693044,48.853392],[-94.685681,48.840119],[-94.701968,48.831778],[-94.704284,48.824284],[-94.694974,48.809206],[-94.694312,48.789352],[-94.690889,48.778066],[-94.651765,48.755913],[-94.645164,48.749975],[-94.645083,48.744143],[-94.61901,48.737374],[-94.58715,48.717599],[-94.549069,48.714653],[-94.533057,48.701262],[-94.452332,48.692444],[-94.438701,48.694889],[-94.416191,48.710948],[-94.384221,48.711806],[-94.342758,48.703382],[-94.308446,48.710239],[-94.290737,48.707747],[-94.260541,48.696381],[-94.251169,48.683514],[-94.254643,48.663888],[-94.250497,48.656654],[-94.224276,48.649527],[-94.091244,48.643669],[-94.065775,48.646104],[-94.035616,48.641018],[-94.006933,48.643193],[-93.944221,48.632294],[-93.91153,48.634673],[-93.840754,48.628548],[-93.824144,48.610724],[-93.806763,48.577616],[-93.811201,48.542385],[-93.818253,48.530046],[-93.794454,48.516021],[-93.656652,48.515731],[-93.643091,48.518294],[-93.628865,48.53121],[-93.612844,48.521876],[-93.60587,48.522472],[-93.594379,48.528793],[-93.547191,48.528684],[-93.467504,48.545664],[-93.460798,48.550552],[-93.456675,48.561834],[-93.465199,48.590659],[-93.438494,48.59338],[-93.405269,48.609344],[-93.395022,48.603303],[-93.371156,48.605085],[-93.362132,48.613832],[-93.35324,48.613378],[-93.349095,48.624935],[-93.254854,48.642784],[-93.207398,48.642474],[-93.178095,48.623339],[-93.088438,48.627597],[-92.984963,48.623731],[-92.954876,48.631493],[-92.95012,48.630419],[-92.949839,48.608269],[-92.929614,48.606874],[-92.909947,48.596313],[-92.894687,48.594915],[-92.728046,48.53929],[-92.657881,48.546263],[-92.634931,48.542873],[-92.625739,48.518189],[-92.631117,48.508252],[-92.627237,48.503383],[-92.636696,48.499428],[-92.654039,48.501635],[-92.661418,48.496557],[-92.698824,48.494892],[-92.712562,48.463013],[-92.687998,48.443889],[-92.656027,48.436709],[-92.507285,48.447875],[-92.475585,48.418793],[-92.456325,48.414204],[-92.456389,48.401134],[-92.47675,48.37176],[-92.469948,48.351836],[-92.437825,48.309839],[-92.416285,48.295463],[-92.369174,48.220268],[-92.336831,48.235383],[-92.269742,48.248241],[-92.273706,48.256747],[-92.294541,48.27156],[-92.292999,48.276404],[-92.301451,48.288608],[-92.294527,48.306454],[-92.306309,48.316442],[-92.304561,48.322977],[-92.295412,48.323957],[-92.288994,48.342991],[-92.26228,48.354933],[-92.222813,48.349203],[-92.216983,48.345114],[-92.206803,48.345596],[-92.203684,48.352063],[-92.178418,48.351881],[-92.177354,48.357228],[-92.145049,48.365651],[-92.143583,48.356121],[-92.083513,48.353865],[-92.077961,48.358253],[-92.055228,48.359213],[-92.045734,48.347901],[-92.046562,48.33474],[-92.037721,48.333183],[-92.030872,48.325824],[-92.000133,48.321355],[-92.01298,48.297391],[-92.006577,48.265421],[-91.989545,48.260214],[-91.976903,48.244626],[-91.971056,48.247667],[-91.971779,48.252977],[-91.954432,48.251678],[-91.952209,48.244394],[-91.957683,48.242683],[-91.957798,48.232989],[-91.941838,48.230602],[-91.915772,48.238871],[-91.89347,48.237699],[-91.884691,48.227321],[-91.867882,48.219095],[-91.864382,48.207031],[-91.815772,48.211748],[-91.809038,48.206013],[-91.79181,48.202492],[-91.789011,48.196549],[-91.756637,48.205022],[-91.749075,48.198844],[-91.741932,48.199122],[-91.742313,48.204491],[-91.714931,48.19913],[-91.711611,48.1891],[-91.721413,48.180255],[-91.724584,48.170657],[-91.705318,48.170775],[-91.70726,48.153661],[-91.698174,48.141643],[-91.699981,48.13184],[-91.712226,48.116883],[-91.703524,48.113548],[-91.682845,48.122118],[-91.687623,48.111698],[-91.676876,48.107264],[-91.665208,48.107011],[-91.653261,48.114137],[-91.653571,48.109567],[-91.640175,48.096926],[-91.559272,48.108268],[-91.552962,48.103012],[-91.569746,48.093348],[-91.575471,48.066294],[-91.575672,48.048791],[-91.567254,48.043719],[-91.488646,48.068065],[-91.45033,48.068806],[-91.437582,48.049248],[-91.429642,48.048608],[-91.391128,48.057075],[-91.370872,48.06941],[-91.365143,48.066968],[-91.340159,48.073236],[-91.332589,48.069331],[-91.26638,48.078713],[-91.214428,48.10294],[-91.190461,48.124891],[-91.183207,48.122235],[-91.176181,48.125811],[-91.137733,48.14915],[-91.139402,48.154738],[-91.092258,48.173101],[-91.082731,48.180756],[-91.024208,48.190072],[-90.976955,48.219452],[-90.914971,48.230603],[-90.88548,48.245784],[-90.875107,48.237784],[-90.847352,48.244443],[-90.839176,48.239511],[-90.836313,48.176963],[-90.832589,48.173765],[-90.821115,48.184709],[-90.817698,48.179569],[-90.804207,48.177833],[-90.796596,48.159373],[-90.777917,48.163801],[-90.778031,48.148723],[-90.79797,48.136894],[-90.787305,48.134196],[-90.789919,48.129902],[-90.76911,48.116585],[-90.761555,48.100133],[-90.751608,48.090968],[-90.641596,48.103515],[-90.626886,48.111846],[-90.59146,48.117546],[-90.582217,48.123784],[-90.55929,48.121683],[-90.555845,48.117069],[-90.569763,48.106951],[-90.567482,48.101178],[-90.556838,48.096008],[-90.487077,48.099082],[-90.467712,48.108818],[-90.438449,48.098747],[-90.403219,48.105114],[-90.374542,48.090942],[-90.367658,48.094577],[-90.344234,48.094447],[-90.330052,48.102399],[-90.312386,48.1053],[-90.289337,48.098993],[-90.224692,48.108148],[-90.188679,48.107947],[-90.176605,48.112445],[-90.136191,48.112136],[-90.116259,48.104303],[-90.073873,48.101138],[-90.023595,48.084708],[-90.015057,48.067188],[-90.008446,48.068396],[-89.997852,48.057567],[-89.99305,48.028404],[-89.97718,48.023501],[-89.968255,48.014482],[-89.954605,48.011516],[-89.95059,48.015901],[-89.934489,48.015628],[-89.915341,47.994866],[-89.897414,47.987599],[-89.873286,47.985419],[-89.868153,47.989898],[-89.847571,47.992442],[-89.842568,48.001368],[-89.830385,48.000284],[-89.820483,48.014665],[-89.797744,48.014505],[-89.763967,48.022969],[-89.724048,48.018996],[-89.721038,48.017965],[-89.724044,48.013675],[-89.716114,48.016441],[-89.716417,48.010251],[-89.702528,48.006325],[-89.673798,48.01151],[-89.667128,48.007421],[-89.657051,48.009954],[-89.649057,48.003853],[-89.617867,48.010947],[-89.611678,48.017529],[-89.607821,48.006566],[-89.594749,48.004332],[-89.582117,47.996314],[-89.564288,48.00293],[-89.489226,48.014528],[-89.495344,48.002356],[-89.541521,47.992841],[-89.551555,47.987305],[-89.555015,47.974849],[-89.572315,47.967238],[-89.58823,47.9662],[-89.611412,47.980731],[-89.624559,47.983153],[-89.631825,47.980039],[-89.640129,47.96793],[-89.638285,47.954275],[-89.697619,47.941288],[-89.793539,47.891358],[-89.85396,47.873997],[-89.87158,47.874194],[-89.923649,47.862062],[-89.930844,47.857723],[-89.92752,47.850825],[-89.933899,47.84676],[-89.974296,47.830514],[-90.072025,47.811105],[-90.075559,47.803303],[-90.1168,47.79538],[-90.16079,47.792807],[-90.178755,47.786414],[-90.187636,47.77813],[-90.248794,47.772763],[-90.323446,47.753771],[-90.332686,47.746387],[-90.437712,47.731612],[-90.441912,47.726404],[-90.458365,47.7214],[-90.537105,47.703055],[-90.551291,47.690266],[-90.735927,47.624343],[-90.86827,47.5569],[-90.907494,47.532873],[-90.914247,47.522639],[-90.939072,47.514532],[-91.032945,47.458236],[-91.045646,47.456525],[-91.097569,47.413888],[-91.128131,47.399619],[-91.146958,47.381464],[-91.156513,47.378816],[-91.188772,47.340082],[-91.238658,47.304976],[-91.262512,47.27929],[-91.288478,47.26596],[-91.326019,47.238993],[-91.357803,47.206743],[-91.418805,47.172152],[-91.477351,47.125667],[-91.497902,47.122579],[-91.518793,47.108121],[-91.573817,47.089917],[-91.591508,47.068684],[-91.626824,47.049953],[-91.644564,47.026491],[-91.666477,47.014297],[-91.704649,47.005246],[-91.780675,46.945881],[-91.806851,46.933727],[-91.841349,46.925215],[-91.883238,46.905728],[-91.914984,46.883836],[-91.952985,46.867037],[-92.094089,46.787839],[-92.088289,46.773639],[-92.06449,46.745439],[-92.025789,46.710839],[-92.01529,46.706469],[-92.020289,46.704039],[-92.03399,46.708939],[-92.08949,46.74924],[-92.10819,46.74914],[-92.13789,46.73954],[-92.14329,46.73464],[-92.141291,46.72524],[-92.146291,46.71594],[-92.167291,46.719941],[-92.189091,46.717541],[-92.204691,46.704041]]]},\"properties\":{\"name\":\"Minnesota\",\"nation\":\"USA  \"}}]}","volume":"32","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-18","publicationStatus":"PW","scienceBaseUri":"5a0425f1e4b0dc0b45b456e0","contributors":{"authors":[{"text":"Carlin, Caroline","contributorId":200175,"corporation":false,"usgs":false,"family":"Carlin","given":"Caroline","email":"","affiliations":[{"id":33095,"text":"University of Minnesota, St. Paul, Minnesota","active":true,"usgs":false}],"preferred":false,"id":721291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":721292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720507,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038012,"text":"70038012 - 2012 - Bayesian analysis of multi-state data with individual covariates for estimating genetic effects on demography","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70038012","displayToPublicDate":"2012-04-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian analysis of multi-state data with individual covariates for estimating genetic effects on demography","docAbstract":"Inbreeding depression is frequently a concern of managers interested in restoring endangered species. Decisions to reduce the potential for inbreeding depression by balancing genotypic contributions to reintroduced populations may exact a cost on long-term demographic performance of the population if those decisions result in reduced numbers of animals released and/or restriction of particularly successful genotypes (i.e., heritable traits of particular family lines). As part of an effort to restore a migratory flock of Whooping Cranes (Grus americana) to eastern North America using the offspring of captive breeders, we obtained a unique dataset which includes post-release mark-recapture data, as well as the pedigree of each released individual. We developed a Bayesian formulation of a multi-state model to analyze radio-telemetry, band-resight, and dead recovery data on reintroduced individuals, in order to track survival and breeding state transitions. We used studbook-based individual covariates to examine the comparative evidence for and degree of effects of inbreeding, genotype, and genotype quality on post-release survival of reintroduced individuals. We demonstrate implementation of the Bayesian multi-state model, which allows for the integration of imperfect detection, multiple data types, random effects, and individual- and time-dependent covariates. Our results provide only weak evidence for an effect of the quality of an individual's genotype in captivity on post-release survival as well as for an effect of inbreeding on post-release survival. We plan to integrate our results into a decision-analytic modeling framework that can explicitly examine tradeoffs between the effects of inbreeding and the effects of genotype and demographic stochasticity on population establishment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10336-011-0695-0","usgsCitation":"Converse, S., Royle, J., and Urbanek, R.P., 2012, Bayesian analysis of multi-state data with individual covariates for estimating genetic effects on demography: Journal of Ornithology, v. 152, no. Supplement 2, p. 561-572, https://doi.org/10.1007/s10336-011-0695-0.","productDescription":"12 p.","startPage":"561","endPage":"572","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":254539,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254526,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10336-011-0695-0","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"152","issue":"Supplement 2","noUsgsAuthors":false,"publicationDate":"2011-04-24","publicationStatus":"PW","scienceBaseUri":"5059f02ae4b0c8380cd4a60e","contributors":{"authors":[{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":463242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Urbanek, Richard P.","contributorId":38400,"corporation":false,"usgs":true,"family":"Urbanek","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":463240,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038056,"text":"70038056 - 2012 - Parameter-expanded data augmentation for Bayesian analysis of capture-recapture models","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"70038056","displayToPublicDate":"2012-04-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Parameter-expanded data augmentation for Bayesian analysis of capture-recapture models","docAbstract":"Data augmentation (DA) is a flexible tool for analyzing closed and open population models of capture-recapture data, especially models which include sources of hetereogeneity among individuals. The essential concept underlying DA, as we use the term, is based on adding \"observations\" to create a dataset composed of a known number of individuals. This new (augmented) dataset, which includes the unknown number of individuals <i>N</i> in the population, is then analyzed using a new model that includes a reformulation of the parameter <i>N</i> in the conventional model of the observed (unaugmented) data. In the context of capture-recapture models, we add a set of \"all zero\" encounter histories which are not, in practice, observable. The model of the augmented dataset is a zero-inflated version of either a binomial or a multinomial base model. Thus, our use of DA provides a general approach for analyzing both closed and open population models of all types. In doing so, this approach provides a unified framework for the analysis of a huge range of models that are treated as unrelated \"black boxes\" and named procedures in the classical literature. As a practical matter, analysis of the augmented dataset by MCMC is greatly simplified compared to other methods that require specialized algorithms. For example, complex capture-recapture models of an augmented dataset can be fitted with popular MCMC software packages (WinBUGS or JAGS) by providing a concise statement of the model's assumptions that usually involves only a few lines of pseudocode. In this paper, we review the basic technical concepts of data augmentation, and we provide examples of analyses of closed-population models (<i>M 0, M h</i> , distance sampling, and spatial capture-recapture models) and open-population models (Jolly-Seber) with individual effects.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10336-010-0619-4","usgsCitation":"Royle, J., and Dorazio, R.M., 2012, Parameter-expanded data augmentation for Bayesian analysis of capture-recapture models: Journal of Ornithology, v. 152, no. Supplement 2, p. 521-537, https://doi.org/10.1007/s10336-010-0619-4.","productDescription":"17 p.","startPage":"521","endPage":"537","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":254542,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254530,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10336-010-0619-4","linkFileType":{"id":5,"text":"html"}}],"volume":"152","issue":"Supplement 2","noUsgsAuthors":false,"publicationDate":"2010-11-28","publicationStatus":"PW","scienceBaseUri":"505a74cfe4b0c8380cd77842","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":463360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":463359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038025,"text":"70038025 - 2012 - Immunity to fish rhabdoviruses","interactions":[],"lastModifiedDate":"2012-04-30T16:43:36","indexId":"70038025","displayToPublicDate":"2012-04-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Immunity to fish rhabdoviruses","docAbstract":"Members of the family Rhabdoviridae are single-stranded RNA viruses and globally important pathogens of wild and cultured fish and thus relatively well studied in their respective hosts or other model systems. Here, we review the protective immune mechanisms that fish mount in response to rhabdovirus infections. Teleost fish possess the principal components of innate and adaptive immunity found in other vertebrates. Neutralizing antibodies are critical for long-term protection from fish rhabdoviruses, but several studies also indicate a role for cell-mediated immunity. Survival of acute rhabdoviral infection is also dependent on innate immunity, particularly the interferon (IFN) system that is rapidly induced in response to infection. Paradoxically, rhabdoviruses are sensitive to the effects of IFN but virulent rhabdoviruses can continue to replicate owing to the abilities of the matrix (M) protein to mediate host-cell shutoff and the non-virion (NV) protein to subvert programmed cell death and suppress functional IFN. While many basic features of the fish immune response to rhabdovirus infections are becoming better understood, much less is known about how factors in the environment affect the ecology of rhabdovirus infections in natural populations of aquatic animals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Viruses","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI Publishing","publisherLocation":"Basel, Switzerland","doi":"10.3390/v4010140","usgsCitation":"Purcell, M., Laing, K.J., and Winton, J.R., 2012, Immunity to fish rhabdoviruses: Viruses, v. 4, no. 1, p. 140-166, https://doi.org/10.3390/v4010140.","productDescription":"27 p.","startPage":"140","endPage":"166","numberOfPages":"27","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":474521,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v4010140","text":"Publisher Index Page"},{"id":254533,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254528,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/v4010140","linkFileType":{"id":5,"text":"html"}}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-18","publicationStatus":"PW","scienceBaseUri":"505a3895e4b0c8380cd61611","contributors":{"authors":[{"text":"Purcell, Maureen K.","contributorId":104214,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","affiliations":[],"preferred":false,"id":463267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laing, Kerry J.","contributorId":33155,"corporation":false,"usgs":true,"family":"Laing","given":"Kerry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":463266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":463265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}