{"pageNumber":"968","pageRowStart":"24175","pageSize":"25","recordCount":46896,"records":[{"id":70073,"text":"wdrIA042 - 2005 - Water resources data, Iowa, water year 2004, volume 2: ground water and quality of precipitation","interactions":[],"lastModifiedDate":"2016-02-01T10:29:18","indexId":"wdrIA042","displayToPublicDate":"2005-02-11T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"IA-04-2","title":"Water resources data, Iowa, water year 2004, volume 2: ground water and quality of precipitation","docAbstract":"<p>Water resources data for Iowa for the 2004 water year consists of records of ground water levels and water quality of ground-water wells. This report volume contains water-level records for 163 ground-water observation wells; water-quality data for 147 municipal wells; and precipitation-quality data for 2 precipitation sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wdrIA042","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources-Iowa Geological Survey, Iowa Department of Transportation, and Federal agencies","usgsCitation":"Nalley, G., Linhart, S.M., Littin, G.R., Miller, V., and Housel, K., 2005, Water resources data, Iowa, water year 2004, volume 2: ground water and quality of precipitation: U.S. Geological Survey Water Data Report IA-04-2, xii, 132 p., https://doi.org/10.3133/wdrIA042.","productDescription":"xii, 132 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2003-10-01","costCenters":[{"id":351,"text":"Iowa Water Science 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 \"}}]}","tableOfContents":"<p>Preface<br />&nbsp; &nbsp; &nbsp;Figures<br />&nbsp; &nbsp; &nbsp;Ground-Water Wells, by County, for which Records are Published in this Volume<br />Introduction<br />Cooperation<br />Summary of Hydrologic Conditions<br />&nbsp; &nbsp; &nbsp;Precipitation<br />&nbsp; &nbsp; &nbsp;Ground-Water-Level Observation Network<br />&nbsp; &nbsp; &nbsp;Ground-Water Quality<br />&nbsp; &nbsp; &nbsp;Ground-Water Monitoring Network<br />Numbering system for wells and miscellaneous sites<br />Special Networks and Programs<br />Explanation of Ground-Water-Level Records<br />&nbsp; &nbsp; &nbsp;Data Collection and Computation<br />&nbsp; &nbsp; &nbsp;Data Presentation<br />Explanation of precipitation records<br />&nbsp; &nbsp; &nbsp;Data Collection and Computation<br />&nbsp; &nbsp; &nbsp;Data Presentation<br />Explanation of Water-Quality Records<br />&nbsp; &nbsp; &nbsp;Collection and Examination of Data<br />&nbsp; &nbsp; &nbsp;Water Analysis<br />Ground-Water-Quality Data<br />&nbsp; &nbsp; &nbsp;Data Collection and Computation<br />&nbsp; &nbsp; &nbsp;Laboratory Measurements<br />&nbsp; &nbsp; &nbsp;Blank Samples<br />&nbsp; &nbsp; &nbsp;Reference Samples<br />&nbsp; &nbsp; &nbsp;Replicate Samples<br />&nbsp; &nbsp; &nbsp;Spike Samples<br />Access to USGS Water Data<br />Definition of Terms<br />Techniques of Water-Resources Investigations of the U.S. Geological Survey<br />Ground-Water Levels<br />Ground-Water-Quality Monitoring Program.<br />Quality of Precipitation<br />Index</p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f1424","contributors":{"authors":[{"text":"Nalley, G.M.","contributorId":23535,"corporation":false,"usgs":true,"family":"Nalley","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":281813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linhart, S. Michael","contributorId":67932,"corporation":false,"usgs":true,"family":"Linhart","given":"S.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":281815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Littin, G. R.","contributorId":95924,"corporation":false,"usgs":true,"family":"Littin","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":281816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, V.E.","contributorId":43423,"corporation":false,"usgs":true,"family":"Miller","given":"V.E.","email":"","affiliations":[],"preferred":false,"id":281814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Housel, K.S.","contributorId":22625,"corporation":false,"usgs":true,"family":"Housel","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":281812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70074,"text":"sir20055022 - 2005 - Initial-phase investigation of multi-dimensional streamflow simulations in the Colorado River, Moab Valley, Grand County, Utah, 2004","interactions":[],"lastModifiedDate":"2017-01-27T15:41:03","indexId":"sir20055022","displayToPublicDate":"2005-02-11T00:00:00","publicationYear":"2005","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":"2005-5022","title":"Initial-phase investigation of multi-dimensional streamflow simulations in the Colorado River, Moab Valley, Grand County, Utah, 2004","docAbstract":"<p><span>A multi-dimensional hydrodynamic model was applied to aid in the assessment of the potential hazard posed to the uranium mill tailings near Moab, Utah, by flooding in the Colorado River as it flows through Moab Valley. Discharge estimates for the 100- and 500-year recurrence interval and for the Probable Maximum Flood (PMF) were evaluated with the model for the existing channel geometry. These discharges also were modeled for three other channel-deepening configurations representing hypothetical scour of the channel at the downstream portal of Moab Valley. Water-surface elevation, velocity distribution, and shear-stress distribution were predicted for each simulation.</span><br><br><span>The hydrodynamic model was developed from measured channel topography and over-bank topographic data acquired from several sources. A limited calibration of the hydrodynamic model was conducted. The extensive presence of tamarisk or salt cedar in the over-bank regions of the study reach presented challenges for determining roughness coefficients.</span><br><br><span>Predicted water-surface elevations for the current channel geometry indicated that the toe of the tailings pile would be inundated by about 4 feet by the 100-year discharge and 25 feet by the PMF discharge. A small area at the toe of the tailings pile was characterized by velocities of about 1 to 2 feet per second for the 100-year discharge. Predicted velocities near the toe for the PMF discharge increased to between 2 and 4 feet per second over a somewhat larger area. The manner to which velocities progress from the 100-year discharge to the PMF discharge in the area of the tailings pile indicates that the tailings pile obstructs the over-bank flow of flood discharges. The predicted path of flow for all simulations along the existing Colorado River channel indicates that the current distribution of tamarisk in the over-bank region affects how flood-flow velocities are spatially distributed. Shear-stress distributions were predicted throughout the study reach for each discharge and channel geometry examined. Material transport was evaluated by applying these shear-stress values to empirically determined critical shear-stress values for grain sizes ranging from very fine sands to very coarse gravels.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055022","collaboration":"Prepared in cooperation with the Utah Department of Environmmental Quality, Division of Radiation Control; and the U.S. Environmental Protection Agency","usgsCitation":"Kenney, T.A., 2005, Initial-phase investigation of multi-dimensional streamflow simulations in the Colorado River, Moab Valley, Grand County, Utah, 2004: U.S. Geological Survey Scientific Investigations Report 2005-5022, viii, 69 p., https://doi.org/10.3133/sir20055022.","productDescription":"viii, 69 p.","numberOfPages":"80","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":6778,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20055022/","linkFileType":{"id":5,"text":"html"}},{"id":185843,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":334238,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2005/5022/pdf/SIR2005_5022.pdf"}],"scale":"5000000","country":"United States","state":"Utah","county":"Grand County","otherGeospatial":"Colorado River, Moab Valley","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66da0a","contributors":{"authors":[{"text":"Kenney, Terry A. 0000-0003-4477-7295 tkenney@usgs.gov","orcid":"https://orcid.org/0000-0003-4477-7295","contributorId":447,"corporation":false,"usgs":true,"family":"Kenney","given":"Terry","email":"tkenney@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":281817,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70069,"text":"sir20045295 - 2005 - Effects of decreased ground-water withdrawal on ground-water levels and chloride concentrations in Camden County, Georgia, and ground-water levels in Nassau County, Florida, from September 2001 to May 2003","interactions":[],"lastModifiedDate":"2017-01-17T17:13:30","indexId":"sir20045295","displayToPublicDate":"2005-02-11T00:00:00","publicationYear":"2005","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":"2004-5295","title":"Effects of decreased ground-water withdrawal on ground-water levels and chloride concentrations in Camden County, Georgia, and ground-water levels in Nassau County, Florida, from September 2001 to May 2003","docAbstract":"During October 2002, the Durango Paper Company formerly Gillman Paper Company) in St. Marys, Georgia, shut down paper-mill operations; the shutdown resulted in decreased ground-water withdrawal in Camden County by 35.6 million gallons per day. The decrease in withdrawal resulted in water-level rise in wells completed in the Floridan aquifer system and the overlying surficial and Brunswick aquifer systems; many wells in the St. Marys area flowed for the first time since the mill began operations during 1941. \r\n\r\nPumping at the mill resulted in the development of a cone of depression that coalesced with a larger adjacent cone of depression at Fernandina Beach, Florida. Since closure of the mill, the cone at St. Marys is no longer present, although the cone still exists at Fernandina Beach, Florida. Historical water-level data from the production wells at the mill indicate that the pumping water level ranged from 68 to 235 feet (ft) below North American Vertical Datum of 1988 (NAVD 88) and averaged about 114 ft when the mill was operating. Since the shutdown, it is estimated that water levels at the mill have risen about 140 ft and are now at about 30 ft above NAVD 88. The water-level rise in wells in outlying areas in Camden County was less pronounced and ranged from about 5 to 10 ft above NAVD 88. Because of the regional upward water-level trend in the Upper Floridan aquifer that started during 1999\u00132000 in most of the coastal area, combined with a steeper upward trend beginning during October 2002, it was not possible to determine if the 5\u001310 ft rise in water levels in wells away from St. Marys was due to the mill closure. In addition to water-level rise of 22\u001326 ft in the Floridan aquifer system, water-level rises in the overlying surficial and Brunswick aquifer systems at St. Marys after the shutdown indicate upward leakage of water. Water levels had stabilized in the confined surficial and Upper and Lower Floridan aquifers by April\u0013May 2003; however, the water level in the upper Brunswick aquifer was still rising as of May 2003.\r\n\r\nChloride concentrations in the Upper Floridan aquifer in Camden County do not exceed the State and Federal drinking-water standard of 250 milligrams per liter (mg/L). With the exception of three wells located at St. Marys, all of the wells sampled during this study (from September 2002 to May 2003) had chloride concentrations ranging from 30 to 50 mg/L, which are considered within background levels for the Upper Floridan aquifer in this area. The three wells\u0014two at the Durango Paper Company and the other an old unused City of St. Marys well\u0014had chloride concentrations that ranged from 74 to 175 mg/L, which are above the background level, but were still below the 250-mg/L drinking-water standard. The source has not been determined for the elevated chloride concentration in these wells; the chloride concentration in one of the wells has decreased slightly since the paper-mill shutdown. Chloride concentrations throughout Camden County showed little change after the paper-mill shutdown.","language":"ENGLISH","doi":"10.3133/sir20045295","usgsCitation":"Peck, M., McFadden, K.W., and Leeth, D.C., 2005, Effects of decreased ground-water withdrawal on ground-water levels and chloride concentrations in Camden County, Georgia, and ground-water levels in Nassau County, Florida, from September 2001 to May 2003 (Online only): U.S. Geological Survey Scientific Investigations Report 2004-5295, vi, 31 p., https://doi.org/10.3133/sir20045295.","productDescription":"vi, 31 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":186487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6740,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5295/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","country":"United States","state":"Florida, Georgia","county":"Camden County, Nassau County","otherGeospatial":"Brunswick aquifer system, Floridan aquifer system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.15576171875,\n              30.56226095049944\n            ],\n            [\n              -82.15576171875,\n              31.12819929911196\n            ],\n            [\n              -81.36474609375,\n              31.12819929911196\n            ],\n            [\n              -81.36474609375,\n              30.56226095049944\n            ],\n            [\n              -82.15576171875,\n              30.56226095049944\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af2e4b07f02db6918fd","contributors":{"authors":[{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":281805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFadden, Keith W. keithmc@usgs.gov","contributorId":1446,"corporation":false,"usgs":true,"family":"McFadden","given":"Keith","email":"keithmc@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":281804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leeth, David C. cleeth@usgs.gov","contributorId":1403,"corporation":false,"usgs":true,"family":"Leeth","given":"David","email":"cleeth@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":281803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70015,"text":"ofr20051019 - 2005 - Preliminary geologic map of the Los Angeles 30' x 60' quadrangle, Southern California","interactions":[{"subject":{"id":24937,"text":"ofr95800 - 1995 - Preliminary geologic map of the Newhall 7.5' quadrangle, southern California: a digital database","indexId":"ofr95800","publicationYear":"1995","noYear":false,"title":"Preliminary geologic map of the Newhall 7.5' quadrangle, southern California: a digital database"},"predicate":"SUPERSEDED_BY","object":{"id":70015,"text":"ofr20051019 - 2005 - Preliminary geologic map of the Los Angeles 30' x 60' quadrangle, Southern California","indexId":"ofr20051019","publicationYear":"2005","noYear":false,"title":"Preliminary geologic map of the Los Angeles 30' x 60' quadrangle, Southern California"},"id":1}],"lastModifiedDate":"2019-11-19T06:56:09","indexId":"ofr20051019","displayToPublicDate":"2005-02-10T00:00:00","publicationYear":"2005","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":"2005-1019","title":"Preliminary geologic map of the Los Angeles 30' x 60' quadrangle, Southern California","docAbstract":"<p>This data set maps and describes the geology of the Los Angeles 30? x 60? quadrangle, southern California. Compilation of the Los Angeles quadrangle is based upon published mapping at scales of 1:12,000 and smaller, unpublished mapping at scales of 1:12,000 and smaller, with reconnaissance mapping by the compilers to resolve some edge-matching problems. The Los Angeles 30' x 60' quadrangle covers approximately 5,000 km2 including some of the most densely populated urban and suburban areas of the southern California megalopolis. It extends about 90 km E-W and about 55 km N-S, from Fillmore and Thousand Oaks in the west to Vincent in the northeast and Montebello in the southeast, and includes urban San Gabriel Valley and San Gabriel Mountain foothill communities from Monrovia to Pasadena, as well as Glendale, downtown Los Angeles, Hollywood, Santa Monica, Malibu, in addition to all the communities in the San Fernando Valley, Simi Valley, and the upper Santa Clara River Valley. From the 2000 Census, the population of these urban and suburban areas totals approximately 5.6 million, and estimates of property value total hundreds of billions of dollars. Residents and transient visitors are subject to potential hazards from earthquakes, debris flows and other landslides, floods, wildfires, subsidence from ground water and petroleum withdrawal, and swelling soils; and coastal areas are exposed to flooding and erosion by storm and tsunami waves. Topographic relief ranges from about one hundred meters sub sea (in Santa Monica Bay) to more than 2,000 meters above sea level at Pacifico Mountain in the high San Gabriel Mountains. In addition to the populated area, the quadrangle includes significant areas of wilderness in the Angeles and Los Padres National Forests, in the Santa Monica Mountains National Recreation Area, and the Sespe Condor Sanctuary. The geologic map illustrates the general distribution of the rocks and surficial deposits in the area and their structural and stratigraphic relations to one another. The principal characteristics of the map units are described and are part of the database. The map provides a regional geologic framework as an aid to better evaluations of the potential for hazard from active earth processes. It synthesizes and combines studies by many earth scientists. Most of the source maps are at more detailed scales than 1:100,000, and we utilized the most detailed source materials available. We have not attempted to resolve all problems of stratigraphic correlation and nomenclature. In most areas we have retained the unit designations of source-map authors, but in some areas, particularly in the igneous-metamorphic complex of the San Gabriel Mountains, some unit designations have been changed. Hopefully, this map will stimulate further work to describe and correlate the many units within the scope of a more coherent, more accurate geologic history.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051019","usgsCitation":"complied by Yerkes, R.F., Campbell, R., Alvarez, R.M., and Bovard, K.R., 2005, Preliminary geologic map of the Los Angeles 30' x 60' quadrangle, Southern California (Version 1.0): U.S. Geological Survey Open-File Report 2005-1019, HTML, https://doi.org/10.3133/ofr20051019.","productDescription":"HTML","costCenters":[],"links":[{"id":188709,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6246,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1019/","linkFileType":{"id":5,"text":"html"}},{"id":110546,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_70332.htm","linkFileType":{"id":5,"text":"html"},"description":"70332"}],"scale":"1","country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.00,\n              34.30\n            ],\n            [\n              -118.00,\n              34.30\n            ],\n            [\n              -118.00,\n              34.00\n            ],\n            [\n              -119.00,\n              34.00\n            ],\n            [\n              -119.00,\n              34.30\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b117","contributors":{"authors":[{"text":"complied by Yerkes, Robert F.","contributorId":93136,"corporation":false,"usgs":true,"family":"complied by Yerkes","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":281669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Russell H.","contributorId":91074,"corporation":false,"usgs":true,"family":"Campbell","given":"Russell H.","affiliations":[],"preferred":false,"id":281667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, Rachel M.","contributorId":66354,"corporation":false,"usgs":true,"family":"Alvarez","given":"Rachel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":281666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bovard, Kelly R.","contributorId":91577,"corporation":false,"usgs":true,"family":"Bovard","given":"Kelly","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":281668,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":69994,"text":"ofr20051040 - 2005 - Fracture trace map and single-well aquifer test results in a carbonate aquifer in Berkeley County, West Virginia","interactions":[],"lastModifiedDate":"2012-02-02T00:14:04","indexId":"ofr20051040","displayToPublicDate":"2005-02-10T00:00:00","publicationYear":"2005","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":"2005-1040","title":"Fracture trace map and single-well aquifer test results in a carbonate aquifer in Berkeley County, West Virginia","docAbstract":"These data contain information on the results of single-well aquifer tests, lineament analysis, and a bedrock geologic map compilation for the low-lying carbonate and shale areas of eastern Berkeley County, West Virginia. Efforts have been initiated by management agencies of Berkeley County in cooperation with the U.S. Geological Survey to further the understanding of the spatial distribution of fractures in the carbonate regions and their correlation with aquifer properties. This report presents transmissivity values from about 200 single-well aquifer tests and a map of fracture-traces determined from aerial photos and field investigations.  Transmissivity values were compared to geologic factors possibly affecting its magnitude.","language":"ENGLISH","doi":"10.3133/ofr20051040","usgsCitation":"McCoy, K.J., Podwysocki, M.H., Crider, E.A., and Weary, D.J., 2005, Fracture trace map and single-well aquifer test results in a carbonate aquifer in Berkeley County, West Virginia (Online Version 1.0): U.S. Geological Survey Open-File Report 2005-1040, 1 plate, TIF and PDF map with metadata, https://doi.org/10.3133/ofr20051040.","productDescription":"1 plate, TIF and PDF map with metadata","costCenters":[],"links":[{"id":193061,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6794,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1040/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","edition":"Online Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a882b","contributors":{"authors":[{"text":"McCoy, Kurt J. 0000-0002-9756-8238 kjmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":1391,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt","email":"kjmccoy@usgs.gov","middleInitial":"J.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":281651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Podwysocki, Melvin H.","contributorId":60220,"corporation":false,"usgs":true,"family":"Podwysocki","given":"Melvin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":281652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crider, E. Allen","contributorId":93992,"corporation":false,"usgs":true,"family":"Crider","given":"E.","email":"","middleInitial":"Allen","affiliations":[],"preferred":false,"id":281653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":281650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70006,"text":"ds110 - 2005 - Flow velocity, water temperature, and conductivity at selected locations in Shark River Slough, Everglades National Park, Florida; July 1999 - July 2003","interactions":[],"lastModifiedDate":"2012-02-02T00:13:35","indexId":"ds110","displayToPublicDate":"2005-02-10T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"110","title":"Flow velocity, water temperature, and conductivity at selected locations in Shark River Slough, Everglades National Park, Florida; July 1999 - July 2003","docAbstract":"Flow-velocity, water-temperature, and conductivity data were collected at five locations in Shark River Slough, Everglades National Park (ENP), Florida, from 1999 to 2003. The data were collected as part of the U.S. Geological Survey Priority Ecosystems Science Initiative in support of the Comprehensive Everglades Restoration Plan. This report contains digital files and graphical plots of the processed, quality-checked, and edited data. Information pertinent to the locations and monitoring strategy also is presented.","language":"ENGLISH","doi":"10.3133/ds110","usgsCitation":"Schaffranek, R.W., and Riscassi, A.L., 2005, Flow velocity, water temperature, and conductivity at selected locations in Shark River Slough, Everglades National Park, Florida; July 1999 - July 2003: U.S. Geological Survey Data Series 110, data files and text, https://doi.org/10.3133/ds110.","productDescription":"data files and text","costCenters":[],"links":[{"id":6241,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ds110/","linkFileType":{"id":5,"text":"html"}},{"id":188091,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de819","contributors":{"authors":[{"text":"Schaffranek, Raymond W.","contributorId":86314,"corporation":false,"usgs":true,"family":"Schaffranek","given":"Raymond","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":281657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riscassi, Ami L.","contributorId":24399,"corporation":false,"usgs":true,"family":"Riscassi","given":"Ami","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":281656,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005,"text":"sir20055003 - 2005 - Evaluation of two low-flow releases from Big Tujunga Reservoir, Los Angeles County, California, 2003","interactions":[],"lastModifiedDate":"2012-02-02T00:13:35","indexId":"sir20055003","displayToPublicDate":"2005-02-09T00:00:00","publicationYear":"2005","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":"2005-5003","title":"Evaluation of two low-flow releases from Big Tujunga Reservoir, Los Angeles County, California, 2003","docAbstract":"Since 1973, the Santa Ana Sucker (Catostomus santaanae) has been listed as a threatened species under the Endangered Species Act. The Lower Big Tujunga Creek, in Los Angeles County, is one of the areas in southern California where the Santa Ana Sucker is still present. This study was designed to assess two flow releases from Big Tujunga Dam that may contribute to favorable habitat conditions for the Santa Ana Sucker. It is important for the Santa Ana Sucker's survival that pools in the lower reach of the study area are replenished periodically. The focus of the study area was on the Lower Big Tujunga Creek within a reach extending approximately 6 miles downstream from the Big Tujunga Reservoir. Six sites were established from the Big Tujunga Dam to Delta Flats day-use area for data collection. This report describes the study design, discharge measurements, and the flow data collected from the two releases. \r\n\r\n    Two scheduled flows (phases 1 and 2) were released from the Big Tujunga Reservoir in August and September 2003. During the first phase, which lasted 50 hours, travel times from the dam to four sites downstream were determined. Arrival times at the four sites were determined on the basis of temperature data. Travel time from the dam to site 6 (the furthest downstream site) was about 51.5 hours. Travel times for subreaches were 3 hours from site 1 to site 2, 6.5 hours from site 2 to site 3, almost 18 hours from site 3 to site 4, and 24 hours from site 4 to site 6. The temperature probe at site 5 was destroyed, and thus the arrival time could not be estimated. A probe that measures stage was placed in one of the many pools downstream from site 4 to evaluate a typical pool response to a low-flow release. Also, discharge measurements were taken at four sites along the study reach. \r\n\r\n     In phase 2, which lasted 5 days (121 hours), flow losses along the 6-mile reach were analyzed. Losses were estimated by measuring difference in flow from the dam to sites 3, 4, 5, and 6, when flow was most stable at each site or when the last measurement made before flow decreased due to flow from dam being shut off. Losses in the plunge pool, directly below the dam were assumed to be negligible for this study. Overall creek loss between the dam and site 6 (the last site) was estimated to be between 4.0 and 4.2 ft3/s (cubic feet per second). Estimated losses between the dam and intermediate sites were about 1.5 ft3/s to site 3; 2.5 ft3/s to site 4; and between 3.7 and 4.1 ft3/s to site 5.","language":"ENGLISH","doi":"10.3133/sir20055003","usgsCitation":"Mendez, G.O., 2005, Evaluation of two low-flow releases from Big Tujunga Reservoir, Los Angeles County, California, 2003: U.S. Geological Survey Scientific Investigations Report 2005-5003, 19 p., https://doi.org/10.3133/sir20055003.","productDescription":"19 p.","costCenters":[],"links":[{"id":188090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6240,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5003/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9e00","contributors":{"authors":[{"text":"Mendez, Gregory O. 0000-0002-9955-3726 gomendez@usgs.gov","orcid":"https://orcid.org/0000-0002-9955-3726","contributorId":1489,"corporation":false,"usgs":true,"family":"Mendez","given":"Gregory","email":"gomendez@usgs.gov","middleInitial":"O.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":281655,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":69969,"text":"wdrAR041 - 2005 - Water resources data, Arkansas, 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:13:53","indexId":"wdrAR041","displayToPublicDate":"2005-02-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"AR-04-1","title":"Water resources data, Arkansas, 2004","docAbstract":"The U.S. Geological Survey Arkansas Water Science Center, in cooperation with State, Federal, and other local governmental agencies, obtains a large amount of data pertaining to the water resources of Arkansas each year. These data, accumulated during many water years, constitute a valuable database for developing an improved understanding of the water resources of the State. \r\n\r\n      Water resources data reported for the 2004 water year for Arkansas consist of records of discharge and water quality (physical measurements and chemical concentrations) of streams, water quality of lakes, and ground-water levels and ground-water quality. Data from selected sites in Louisiana, Missouri, and Oklahoma also are included. This report contains daily discharge records for 104 surface-water gaging stations, 82 peak-discharge partial-record stations, 8 stage-only stations, water-quality data for 79 surface-water stations and 16 wells, and water levels for 47 observation wells. Additional water data were collected at various sites, not part of the systematic data-collection program, and are published as miscellaneous measurements.","language":"ENGLISH","doi":"10.3133/wdrAR041","isbn":"Online only","usgsCitation":"Brossett, T., Schrader, T., and Evans, D., 2005, Water resources data, Arkansas, 2004: U.S. Geological Survey Water Data Report AR-04-1, 475 p., https://doi.org/10.3133/wdrAR041.","productDescription":"475 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":191594,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6317,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2004/wdr-ar-04/","linkFileType":{"id":5,"text":"html"}}],"scale":"5000000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f1688","contributors":{"authors":[{"text":"Brossett, T.H.","contributorId":95554,"corporation":false,"usgs":true,"family":"Brossett","given":"T.H.","email":"","affiliations":[],"preferred":false,"id":281620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrader, T. P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.","middleInitial":"P.","affiliations":[],"preferred":false,"id":281619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, D.A.","contributorId":8551,"corporation":false,"usgs":true,"family":"Evans","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":281618,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69955,"text":"ds113 - 2005 - Summary of suspended-sediment concentration data, San Francisco Bay, California, Water Year 2003","interactions":[],"lastModifiedDate":"2016-07-26T16:31:37","indexId":"ds113","displayToPublicDate":"2005-01-26T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"113","title":"Summary of suspended-sediment concentration data, San Francisco Bay, California, Water Year 2003","docAbstract":"<p>Suspended-sediment concentration data were collected in San Francisco Bay during water year 2003 (October 1, 2002-September 30, 2003). Optical sensors and water samples were used to monitor suspended-sediment concentration at two sites in Suisun Bay, three sites in San Pablo Bay, one site in Central San Francisco Bay, and three sites in South San Francisco Bay. Sensors were positioned at two depths at most sites. Water samples were collected periodically and analyzed for concentrations of suspended sediment. The results of the analyses were used to calibrate the output of the optical sensors so that a record of suspended-sediment concentrations could be derived. This report presents the data-collection methods used and summarizes the suspended-sediment concentration data collected from October 2002 through September 2003. Calibration curves and plots of edited data for each sensor also are presented.</p>","language":"ENGLISH","doi":"10.3133/ds113","usgsCitation":"Buchanan, P.A., and Ganju, N., 2005, Summary of suspended-sediment concentration data, San Francisco Bay, California, Water Year 2003: U.S. Geological Survey Data Series 113, 52 p., https://doi.org/10.3133/ds113.","productDescription":"52 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":438872,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SBFZJU","text":"USGS data release","linkHelpText":"Distribution of a freshwater mussel assemblage in Nebraska, Kansas, and Oklahoma"},{"id":191293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6307,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ds113/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db6989af","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":281595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":281596,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":69929,"text":"sir20045126 - 2005 - Development of a local meteoric water line for southeastern Idaho, western Wyoming, and south-central Montana","interactions":[],"lastModifiedDate":"2012-02-02T00:13:35","indexId":"sir20045126","displayToPublicDate":"2005-01-15T00:00:00","publicationYear":"2005","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":"2004-5126","title":"Development of a local meteoric water line for southeastern Idaho, western Wyoming, and south-central Montana","docAbstract":"Linear-regression analysis was applied to stable hydrogen (H) and oxygen (O) isotope data in 72 snow-core and precipitation samples collected during 1999-2001 to determine the Local Meteoric Water Line (LMWL) for southeastern Idaho, western Wyoming, and south-central Montana. \r\n\r\nOn the basis of (1) residuals from the regression model, (2) comparison of study-area deuterium-excess (d-excess) values with the global range of d-excess values, and (3) outlier analysis by means of Chauvenet's Criterion, values of four samples were excluded from final regression analysis of the dataset. Regression results for the 68 remaining samples yielded a LMWL defined by the equation ?H = 7.95 18O + 8.09 (r? = 0.98). \r\n\r\nThis equation will be useful as a reference point for future studies in this area that use stable isotopes of H and O to determine sources of ground-water recharge, to determine water-mineral exchange, to evaluate surface-water and groundwater interaction, and to analyze many other geochemical and hydrologic problems.","language":"ENGLISH","doi":"10.3133/sir20045126","usgsCitation":"Benjamin, L., Knobel, L.L., Hall, L.F., Cecil, L.D., and Green, J.R., 2005, Development of a local meteoric water line for southeastern Idaho, western Wyoming, and south-central Montana: U.S. Geological Survey Scientific Investigations Report 2004-5126, NA, https://doi.org/10.3133/sir20045126.","productDescription":"NA","costCenters":[],"links":[{"id":187821,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6280,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5126/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db660775","contributors":{"authors":[{"text":"Benjamin, Lyn","contributorId":89977,"corporation":false,"usgs":true,"family":"Benjamin","given":"Lyn","email":"","affiliations":[],"preferred":false,"id":281557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knobel, LeRoy L.","contributorId":76285,"corporation":false,"usgs":true,"family":"Knobel","given":"LeRoy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":281556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, L. Flint","contributorId":53464,"corporation":false,"usgs":true,"family":"Hall","given":"L.","email":"","middleInitial":"Flint","affiliations":[],"preferred":false,"id":281553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cecil, L. DeWayne","contributorId":72828,"corporation":false,"usgs":true,"family":"Cecil","given":"L.","email":"","middleInitial":"DeWayne","affiliations":[],"preferred":false,"id":281555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Jaromy R.","contributorId":57498,"corporation":false,"usgs":true,"family":"Green","given":"Jaromy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":281554,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":69924,"text":"sir20055002 - 2005 - Monitoring the natural attenuation of petroleum in ground water at the former naval complex, Operable Unit A, Adak Island, Alaska, May and June 2003","interactions":[],"lastModifiedDate":"2012-02-02T00:13:35","indexId":"sir20055002","displayToPublicDate":"2005-01-15T00:00:00","publicationYear":"2005","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":"2005-5002","title":"Monitoring the natural attenuation of petroleum in ground water at the former naval complex, Operable Unit A, Adak Island, Alaska, May and June 2003","docAbstract":"During May and June 2003, the U.S. Geological Survey installed monitoring wells and collected data to characterize the effectiveness of natural attenuation processes for remediating petroleum-contaminated ground water at Operable Unit A of the former Naval complex on Adak Island, Alaska. In addition, the evidence for petroleum biodegradation in ground water was evaluated at selected petroleum sites, plans for future natural attenuation monitoring were suggested for the selected petroleum sites, and the natural attenuation monitoring strategy for the Downtown area of Adak Island was reviewed and refinements were suggested.\r\n\r\nU.S. Geological Survey personnel measured water levels and collected ground-water samples from about 100 temporary boreholes and 50 monitoring wells. Most samples were analyzed on-site for concentrations of selected petroleum compounds and natural attenuation parameters such as dissolved oxygen, ferrous iron, and carbon dioxide. The U.S. Geological Survey evaluated the data on-site, selected new monitoring well locations, and installed, developed, and sampled 10 monitoring wells. \r\n\r\nThe review and suggestions for the natural attenuation monitoring strategy focused on how to better achieve monitoring objectives specified in the Record of Decision for Adak Island petroleum sites. To achieve the monitoring objective of verifying that natural attenuation is occurring, the monitoring plans for each monitored natural attenuation site need to include sampling of at least one strategically placed well at the downgradient margin of the contaminant plume margin, preferably where contaminant concentrations are detectable but less than the cleanup level. Collection of natural attenuation parameter data and sampling background wells is no longer needed to achieve the monitoring objective of demonstrating the occurrence of natural attenuation. To achieve the objective of monitoring locations where chemical concentrations exceed specified cleanup levels, at least one natural attenuation well within or immediately downgradient from the contaminant source area at each site needs to be monitored. \r\n\r\nAchieving the Record of Decision-specified final monitoring objective of estimating the rate of natural attenuation to demonstrate achievement of cleanup levels within 75 years will be problematic. Demonstrating (predicting) achievement of cleanup levels within any timeframe in a technically defensible manner will be difficult to achieve using any type of short-term monitoring and evaluation, and will be particularly difficult to achieve through monitoring and evaluation of dissolved-phase petroleum only.\r\n\r\nOverall, natural attenuation processes appear to have greatly limited the extent of ground-water contamination at most sites investigated and have limited the risk that petroleum contaminants pose to downgradient receptors. Clarification or refinement of the monitoring objective to demonstrate cleanup within 75 years would be a reasonable prelude to developing a monitoring and data evaluation strategy to meet the objective.","language":"ENGLISH","doi":"10.3133/sir20055002","usgsCitation":"Dinicola, R., Simonds, F., and Defawe, R., 2005, Monitoring the natural attenuation of petroleum in ground water at the former naval complex, Operable Unit A, Adak Island, Alaska, May and June 2003: U.S. Geological Survey Scientific Investigations Report 2005-5002, 66 p., https://doi.org/10.3133/sir20055002.","productDescription":"66 p.","costCenters":[],"links":[{"id":188702,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6275,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5002/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699049","contributors":{"authors":[{"text":"Dinicola, R.S.","contributorId":64290,"corporation":false,"usgs":true,"family":"Dinicola","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":281543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonds, F. W.","contributorId":54616,"corporation":false,"usgs":true,"family":"Simonds","given":"F. W.","affiliations":[],"preferred":false,"id":281542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defawe, Rose","contributorId":40473,"corporation":false,"usgs":true,"family":"Defawe","given":"Rose","affiliations":[],"preferred":false,"id":281541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":69925,"text":"sir20045242 - 2005 - Summary of sediment data from the Yampa river and upper Green river basins, Colorado and Utah, 1993-2002","interactions":[],"lastModifiedDate":"2025-08-19T19:17:11.507526","indexId":"sir20045242","displayToPublicDate":"2005-01-15T00:00:00","publicationYear":"2005","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":"2004-5242","title":"Summary of sediment data from the Yampa river and upper Green river basins, Colorado and Utah, 1993-2002","docAbstract":"The water resources of the Upper Colorado River Basin have been extensively developed for water supply, irrigation, and power generation through water storage in upstream reservoirs during spring runoff and subsequent releases during the remainder of the year. The net effect of water-resource development has been to substantially modify the predevelopment annual hydrograph as well as the timing and amount of sediment delivery from the upper Green River and the Yampa River Basins tributaries to the main-stem reaches where endangered native fish populations have been observed. The U.S. Geological Survey, in cooperation with the Colorado Division of Wildlife and the U.S. Fish and Wildlife Service, began a study to identify sediment source reaches in the Green River main stem and the lower Yampa and Little Snake Rivers and to identify sediment-transport relations that would be useful in assessing the potential effects of hydrograph modification by reservoir operation on sedimentation at identified razorback spawning bars in the Green River. The need for additional data collection is evaluated at each sampling site. \r\n\r\nSediment loads were calculated at five key areas within the watershed by using instantaneous measurements of streamflow, suspended-sediment concentration, and bedload. Sediment loads were computed at each site for two modes of transport (suspended load and bedload), as well as for the total-sediment load (suspended load plus bedload) where both modes were sampled. Sediment loads also were calculated for sediment particle-size range (silt-and-clay, and sand-and-gravel sizes) if laboratory size analysis had been performed on the sample, and by hydrograph season. Sediment-transport curves were developed for each type of sediment load by a least-squares regression of logarithmic-transformed data.\r\n\r\nTransport equations for suspended load and total load had coefficients of determination of at least 0.72 at all of the sampling sites except Little Snake River near Lily, Colorado. Bedload transport equations at the five sites had coefficients of determination that ranged from 0.40 (Yampa River at Deerlodge Park, Colorado) to 0.80 (Yampa River above Little Snake River near Maybell, Colorado). Transport equations for silt and clay-size material had coefficients of determination that ranged from 0.46 to 0.82.\r\n\r\nWhere particle-size data were available (Yampa River at Deerlodge Park, Colorado, and Green River near Jensen, Utah), transport equations for the smaller particle sizes (fine sand) tended to have higher coefficients of determination than the equations for coarser sizes (medium and coarse sand, and very coarse sand and gravel). Because the data had to be subdivided into at least two subsets (rising-limb, falling-limb and, occasionally, base-flow periods), the seasonal transport equations generally were based on relatively few samples. All transport equations probably could be improved by additional data collected at strategically timed periods.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045242","usgsCitation":"Elliott, J.G., and Anders, S.P., 2005, Summary of sediment data from the Yampa river and upper Green river basins, Colorado and Utah, 1993-2002: U.S. Geological Survey Scientific Investigations Report 2004-5242, 35 p., https://doi.org/10.3133/sir20045242.","productDescription":"35 p.","costCenters":[],"links":[{"id":6276,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5242/","linkFileType":{"id":5,"text":"html"}},{"id":188787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"scale":"1000000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6987a9","contributors":{"authors":[{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":281544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anders, Steven P.","contributorId":47466,"corporation":false,"usgs":true,"family":"Anders","given":"Steven","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":281545,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":69871,"text":"sir20045261 - 2005 - Modeling hydrodynamics, temperature, and water quality in Henry Hagg Lake, Oregon, 2000-03","interactions":[],"lastModifiedDate":"2024-06-13T15:15:46.277083","indexId":"sir20045261","displayToPublicDate":"2005-01-11T00:00:00","publicationYear":"2005","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":"2004-5261","title":"Modeling hydrodynamics, temperature, and water quality in Henry Hagg Lake, Oregon, 2000-03","docAbstract":"<p>The two-dimensional model CE-QUAL-W2 was used to simulate hydrodynamics, temperature, and water quality in Henry Hagg Lake, Oregon, for the years 2000 through 2003. Input data included lake bathymetry, meteorologic conditions, tributary inflows, tributary temperature and water quality, and lake outflows. Calibrated constituents included lake hydrodynamics, water temperature, orthophosphate, total phosphorus, ammonia, algae, chlorophyll a, zooplankton, and dissolved oxygen. Other simulated constituents included nitrate, dissolved and particulate organic matter, dissolved solids, and suspended sediment. Two algal groups (blue-green algae, and all other algae) were included in the model to simulate the lake’s algal communities. Measured lake stage data were used to calibrate the lake's water balance; calibration of water temperature and water quality relied upon vertical profile data taken in the deepest part of the lake near the dam. The model initially was calibrated with data from 2000-01 and tested with data from 2002-03. Sensitivity tests were performed to examine the response of the model to specific parameters and coefficients, including the light-extinction coefficient, wind speed, tributary inflows of phosphorus, nitrogen and organic matter, sediment oxygen demand, algal growth rates, and zooplankton feeding preference factors.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20045261","usgsCitation":"Sullivan, A.B., and Rounds, S.A., 2005, Modeling hydrodynamics, temperature, and water quality in Henry Hagg Lake, Oregon, 2000-03: U.S. Geological Survey Scientific Investigations Report 2004-5261, vi, 38 p., https://doi.org/10.3133/sir20045261.","productDescription":"vi, 38 p.","costCenters":[],"links":[{"id":430140,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2004/5261/pdf/sir2004-5261.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":6207,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2004/5261/","linkFileType":{"id":5,"text":"html"}},{"id":191922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":430039,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_70975.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Henry Hagg Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.25116546101336,\n              45.50766155966309\n            ],\n            [\n              -123.25116546101336,\n              45.46699844607198\n            ],\n            [\n              -123.195483774092,\n              45.46699844607198\n            ],\n            [\n              -123.195483774092,\n              45.50766155966309\n            ],\n            [\n              -123.25116546101336,\n              45.50766155966309\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db69997d","contributors":{"authors":[{"text":"Sullivan, Annette B.","contributorId":27150,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annette","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":281408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":281407,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046925,"text":"70046925 - 2005 - 1970's Land use data refined with 1990 population data to indicate new residential development for the conterminous United States","interactions":[],"lastModifiedDate":"2013-07-09T13:28:31","indexId":"70046925","displayToPublicDate":"2005-01-01T13:18:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"1970's Land use data refined with 1990 population data to indicate new residential development for the conterminous United States","docAbstract":"This data set represents U.S. Geological Survey (USGS) historical Land Use and Land Cover (LULC) from the 1970's that has been refined with 1990 population density at the block group level to indicate new residential development representative of the 1990's.  Any area having a population density of at least 1,000 people per square mile had been re-classified as \"urban\" land in this data set.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046925","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, 1970's Land use data refined with 1990 population data to indicate new residential development for the conterminous United States, Dataset, https://doi.org/10.3133/70046925.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274770,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/newlu90g.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.002463,22.838701 ], [ -128.002463,51.691388 ], [ -65.258046,51.691388 ], [ -65.258046,22.838701 ], [ -128.002463,22.838701 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30e2e4b0f72b44719c2b","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535568,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70007010,"text":"70007010 - 2005 - Comparative phytosociological investigation of subalpine alder thickets in southwestern Alaska and the North Pacific","interactions":[],"lastModifiedDate":"2018-08-20T18:20:48","indexId":"70007010","displayToPublicDate":"2005-01-01T13:14:51","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Comparative phytosociological investigation of subalpine alder thickets in southwestern Alaska and the North Pacific","docAbstract":"<p>We present the first vegetation analysis of subalpine alder (Alnus viridis) thickets in southwestern Alaska. The data are primarily from mesic, hilly and mountainous sites ranging from the westernmost tip of the Alaska Peninsula to the northern Kenai Peninsula, spanning 1,000 km on an E&ndash;W gradient and 700 km on a N&ndash;S gradient. 127 relev&eacute;s from 18 sites represent the range of structural and compositional variation in the matrix of vegetation and landform diversity. Data were analyzed by multivariate and traditional Braun-Blanquet methods. One association is distinguished, Sambuco racemosi-Alnetum viridis ass. nov. with three new subassociations, oplopanacetosum horridi, typicum, and rubetosum spectabilis with the latter subdivided into four variants. These phytocoena are well-differentiated, although they form a syntaxonomical continuum. The composition and structure of these communities are described and interpreted in relation to complex environmental factors; these are analyzed using Jancey's ranking on F-values. Community composition is primarily related to elevation, longitude, soil moisture, and latitude. Phytogeographic comparison of southwestern Alaska alder communities with those elsewhere in the North Pacific suggests a close floristic relationship to those of southcentral, southeastern Alaska and coastal British Columbia, Canada. All these communities belong to the same association, while those of the eastern and southern parts of the Kamchatka Peninsula, Russia belong to a different association. Syntaxonomy of the 4 major communities is discussed. Within the Northern Hemisphere, vascular plant species of southwestern Alaska alder thickets primarily occur in East Asia and North America, 36 %; while 26 % are circumpolar, and 22 % are restricted to North America. From a latitudinal perspective, the distribution of vascular plant species within these alder thickets peaks in the high-subarctic, low-subarctic, and temperate latitudinal zones, with low representation of arctic species.</p>\n<p>&nbsp;</p>","language":"English","publisher":"Elsevier","doi":"10.1127/0340-269X/2005/0035-0727","issn":"0340269X","collaboration":"None","usgsCitation":"Talbot, S., Talbot, S.L., and Daniels, F.J., 2005, Comparative phytosociological investigation of subalpine alder thickets in southwestern Alaska and the North Pacific, v. 35, 33 p., https://doi.org/10.1127/0340-269X/2005/0035-0727.","productDescription":"33 p.","startPage":"727","endPage":"759","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":289138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70046924,"text":"70046924 - 2005 - 1970's Land use data refined with 2000 population data to indicate new residential development for the conterminous United States","interactions":[],"lastModifiedDate":"2013-07-09T13:15:38","indexId":"70046924","displayToPublicDate":"2005-01-01T13:09:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"1970's Land use data refined with 2000 population data to indicate new residential development for the conterminous United States","docAbstract":"This data set represents U.S. Geological Survey (USGS) historical Land Use and Land Cover (LULC) from the 1970's that has been refined with 2000 population density at the block group level to indicate new residential development representative of the early 2000's.  Any area having a population density of at least 1,000 people per square mile had been re-classified as \"urban\" land in this data set.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046924","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2005, 1970's Land use data refined with 2000 population data to indicate new residential development for the conterminous United States (1), Dataset, https://doi.org/10.3133/70046924.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274768,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/newlu00g.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.002463,22.838701 ], [ -128.002463,51.691388 ], [ -65.258046,51.691388 ], [ -65.258046,22.838701 ], [ -128.002463,22.838701 ] ] ] } } ] }","edition":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30e3e4b0f72b44719c2f","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535567,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70160117,"text":"70160117 - 2005 - Yellowstone grizzly bear investigations: Annual report of the Interagency Grizzly Bear Study Team, 2004","interactions":[],"lastModifiedDate":"2022-09-13T15:37:33.462145","indexId":"70160117","displayToPublicDate":"2005-01-01T12:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Yellowstone grizzly bear investigations: Annual report of the Interagency Grizzly Bear Study Team, 2004","docAbstract":"<p>The contents of this Annual Report summarize results of monitoring and research from the 2004 field season. The report also contains a summary of nuisance grizzly bear (<i>Ursus arctos horribilis</i>) management actions.</p>\n<p>The study team continues to work on issues associated with counts of unduplicated females with cubs-of-the-year (COY). These counts are used to establish a minimum population size, which is then used to establish mortality thresholds for the Recovery Plan (U.S. Fish and Wildlife Service [USFWS] 1993). A computer program that defines the rule set used by Knight et al. (1995) to differentiate unique family groups was completed in spring 2005. We will use an improved version of this model to verify the accuracy of the rules using known bears and their telemetry locations in test runs. We hope to have this work complete by the end of 2005.&nbsp;</p>\n<p>&nbsp;The grizzly bear recovery plan (USFWS 1993) established mortality quotas at 4% of the minimum population estimate derived from female with COY data and no more than 30% of the 4% (1.2%) could be female bears. Simulation modeling (Harris 1984) established sustainable mortality at around 6% of the population. We used the latest information on reproduction and survival to estimate population trajectory in the same simulation model originally used by Harris. A Wildlife Monograph has been accepted for publication and should be available by summer 2005. Our project addressing the potential application of stable isotopes and trace elements to quantify consumption rates of whitebark pine (<i>Pinus albicaulis</i>) and cutthroat trout (<i>Oncorhynchus clarki</i>) by grizzly bears was completed. Our manuscript on consumption rates of whitebark pine has been published (Canadian Journal of Zoology 81:763-770). The manuscript on fish consumption rates was also accepted and is published in the Canadian Journal of Zoology 82:493-501. Both can be found on the Interagency Grizzly Bear Study Team (IGBST) website http://www.nrmsc.usgs.gov/research/igbst-home.htm.</p>\n<p>We began a new study in Grand Teton National Park evaluating habitat use both temporally and spatially between grizzly and black (<i>Ursus americanus</i>) bears. We will employ a new form of Global Positioning System (GPS) technology that incorporates a spread spectrum communication system. Spread spectrum allows for transfer of stored GPS locations from the collar to a remote receiving station. Results of our first yea r&rsquo;s field season are summarized in this report.&nbsp;</p>\n<p>Whitebark pine (WBP) has been identified as one of the import ant fall foods of the Yellowstone grizzly bear. Previous efforts to map the distribution of WBP were for the Cumulative Effects Model. Consequently the only coverage of WBP distribution was for the grizzly bear Recovery Zone. We were successful in getting financial support through the U.S. Geological Survey Land Remote Sensing Program and Interdisciplinary Science Support Activities Project to create an ecosystem-wide map of the distribution of WBP. The results of that project are reported in Appendix A. The study team annually estimates WBP cone production on a series of transects. That information is reported annually in our reports. Concern over the long-term health of WBP prompted us to investigate the usefulness of cone counts as an indirect index of WBP health. Results of this analysis (Appendix B) indicated that cone production is too variable to serve this purpose. Consequently, we partnered with several 2 other agencies and embarked on a program to develop a long-term monitoring program directed specifically at WBP health in the Greater Yellowstone Ecosystem (GYE). Our team (Greater Yellowstone Whitebark Pine Monitoring Working Group) was successful in obtaining funds to develop and implement a WBP health monitoring program. Results of our first years work are presented in Appendix C. We also successfully competed for funds in 2005 and will continue to collect information on WBP health.&nbsp;</p>\n<p>Army cutworm moths (<i>Euxoa auxiliaris</i>) are also a very important food for a segment of the GYE grizzly bear population. Hillary Robison, graduate student at University of Nevada, Reno, is nearing completion of her program. In this report, we post her annual work summary, and abstracts of her most recently submitted publications. These include one on the levels of pesticides in cutworm moths and their potential affect on grizzly bears (Appendix D), a spatial analysis to identify army cutworm moth habitat (Appendix E), and the results of a preliminary analysis of pollen grains on the mouth parts of moths (Appendix F) to help identify which plant species are commonly fed upon.&nbsp;</p>\n<div data-canvas-width=\"319.06000000000006\">Other study team members have also been working on various aspects of grizzly bear science. Study team member Kerry Gunther hosted a workshop on habituated grizzly bears in North America. A copy of the abstract of that report can be found in Appendix G. Additionally, Kerry Gunther and Doug Smith, wolf researcher in Yellowstone National Park (YNP), reported on the interactions between gray wolves (<i>Canis lupus</i>) and female grizzly bears with young. They report that of 15 interactions between these 2 carnivores, 8 involve d females with COY. They observed 2 incidents where cubs were killed by wolves at ungulate carcasses (Appendix H).&nbsp;&nbsp;</div>\n<div data-canvas-width=\"319.06000000000006\">The annual reports of the IGBST summarize annual data collection. Because additional information can be obtained after publication, data summaries are subject to change. For that reason, data analyses and summaries presented in this report supersede all previously published data. The study area and sampling techniques are reported by Blanchard (1985), Mattson et al. (1991 a ), and Haroldson et al. (1998).&nbsp;</div>","language":"English","publisher":"Interagency Grizzly Bear Study Team","usgsCitation":"2005, Yellowstone grizzly bear investigations: Annual report of the Interagency Grizzly Bear Study Team, 2004: Annual Report, ii, 131 p.","productDescription":"ii, 131 p.","numberOfPages":"136","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":312184,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319903,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/catalog/file/get/6266a697d34e76103cce5808?f=__disk__cf%2F8b%2F77%2Fcf8b77fe6924d4c53c19a702cd55fdb91d307214","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.68701171875,\n              42.85985981506279\n            ],\n            [\n              -109.27001953125,\n              42.85985981506279\n            ],\n            [\n              -109.27001953125,\n              45.583289756006316\n            ],\n            [\n              -111.68701171875,\n              45.583289756006316\n            ],\n            [\n              -111.68701171875,\n              42.85985981506279\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566c01f8e4b09cfe53ca5b10","contributors":{"editors":[{"text":"Schwartz, Charles C.","contributorId":124574,"corporation":false,"usgs":false,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":5119,"text":"Retired from U.S. Geological Survey, Interagency Grizzly Bear Study Team, Northern Rocky Mountain Science Center, 2327 University Way, suite 2, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":581957,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":581958,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"West, Karrie K. karrie_west@usgs.gov","contributorId":4055,"corporation":false,"usgs":true,"family":"West","given":"Karrie","email":"karrie_west@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":581959,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70164308,"text":"70164308 - 2005 - Environmental exposure modeling and monitoring of human pharmaceutical concentrations in the environment","interactions":[],"lastModifiedDate":"2016-02-01T10:08:46","indexId":"70164308","displayToPublicDate":"2005-01-01T11:15:00","publicationYear":"2005","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Environmental exposure modeling and monitoring of human pharmaceutical concentrations in the environment","docAbstract":"<p>Human pharmaceuticals are receiving increased attention as environmental contaminants. This is due to their biological activity and the number of monitoring programs focusing on analysis of these compounds in various environmental media and compartments. Risk assessments are needed to understand the implications of reported concentrations; a fundamental part of the risk assessment is an assessment of environmental exposures. The purpose of this chapter is to provide guidance on the use of predictive tools (e.g., models) and monitoring data in exposure assessments for pharmaceuticals in the environment. Methods to predict environmental concentrations from equations based on first principles are presented. These equations form the basis of existing GIS (geographic information systems)-based systems for understanding the spatial distribution of pharmaceuticals in the environment. The pharmaceutical assessment and transport (P<i>h</i>ATE), georeferenced regional exposure assessment tool for European rivers (GREAT-ER), and geographical information system (GIS)-ROUT models are reviewed and recommendations are provided concerning the design and execution of monitoring studies. Model predictions and monitoring data are compared to evaluate the relative utility of each approach in environmental exposure assessments. In summary, both models and monitoring data can be used to define representative exposure concentrations of pharmaceuticals in the environment in support of environmental risk assessments.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Human pharmaceuticals: Assessing the impacts on aquatic ecosystems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"SETAC Press","publisherLocation":"Pensacola, FL","usgsCitation":"Versteeg, D., Alder, A.C., Cunningham, V.L., Kolpin, D., Murray-Smith, R., and Ternes, T., 2005, Environmental exposure modeling and monitoring of human pharmaceutical concentrations in the environment, chap. <i>of</i> Human pharmaceuticals: Assessing the impacts on aquatic ecosystems, p. 71-110.","productDescription":"40 p.","startPage":"71","endPage":"110","numberOfPages":"40","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":316360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":316359,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://toxics.usgs.gov/highlights/pharm_chapter.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56b08fc7e4b010e2af2a5d4c","contributors":{"authors":[{"text":"Versteeg, D.J.","contributorId":49890,"corporation":false,"usgs":true,"family":"Versteeg","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":596931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alder, A. C.","contributorId":156231,"corporation":false,"usgs":false,"family":"Alder","given":"A.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":596932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, V. L.","contributorId":156232,"corporation":false,"usgs":false,"family":"Cunningham","given":"V.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":596933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":596934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray-Smith, R.","contributorId":156233,"corporation":false,"usgs":false,"family":"Murray-Smith","given":"R.","email":"","affiliations":[],"preferred":false,"id":596935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ternes, T.","contributorId":156234,"corporation":false,"usgs":false,"family":"Ternes","given":"T.","email":"","affiliations":[],"preferred":false,"id":596936,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70248055,"text":"70248055 - 2005 - Identifying major sedimentary basins beneath the West Antarctic ice sheet from aeromagnetic data analysis","interactions":[],"lastModifiedDate":"2023-09-01T15:40:39.195746","indexId":"70248055","displayToPublicDate":"2005-01-01T10:25:19","publicationYear":"2005","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3.2","title":"Identifying major sedimentary basins beneath the West Antarctic ice sheet from aeromagnetic data analysis","docAbstract":"<p><span>In the Ross Sea, large sedimentary basins reflect primarily the major extensional event associated with the Late Cretaceous breakup of Gondwana. Within the Interior Ross Embayment, no similar large basins have been identified to date. We have used aerogravity and Werner deconvolution methods applied to aeromagnetic data to map depth to magnetic basement, which helped delineate three major sedimentary basins, the Bentley Subglacial, Onset, and Trunk D Basins.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Antarctica: Contributions to global earth sciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/3-540-32934-X_13","usgsCitation":"Bell, R.E., Studinger, M., Karner, G., Finn, C.A., and Blankenship, D.D., 2005, Identifying major sedimentary basins beneath the West Antarctic ice sheet from aeromagnetic data analysis, chap. 3.2 <i>of</i> Antarctica: Contributions to global earth sciences, p. 117-122, https://doi.org/10.1007/3-540-32934-X_13.","productDescription":"6 p.","startPage":"117","endPage":"122","costCenters":[],"links":[{"id":420417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, West Antarctic Ice Sheet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -209.46615093866666,\n              -64.69078702398214\n            ],\n            [\n              -209.46615093866666,\n              -84.86176508361129\n            ],\n            [\n              -99.51787649784194,\n              -84.86176508361129\n            ],\n            [\n              -99.51787649784194,\n              -64.69078702398214\n            ],\n            [\n              -209.46615093866666,\n              -64.69078702398214\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Futterer, Dieter Karl","contributorId":279857,"corporation":false,"usgs":false,"family":"Futterer","given":"Dieter","email":"","middleInitial":"Karl","affiliations":[],"preferred":false,"id":881669,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Damaske, Detlef","contributorId":77384,"corporation":false,"usgs":true,"family":"Damaske","given":"Detlef","email":"","affiliations":[],"preferred":false,"id":881670,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kleinschmidt, Georg","contributorId":26968,"corporation":false,"usgs":true,"family":"Kleinschmidt","given":"Georg","email":"","affiliations":[],"preferred":false,"id":881671,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Miller, Hubert","contributorId":328909,"corporation":false,"usgs":false,"family":"Miller","given":"Hubert","email":"","affiliations":[],"preferred":false,"id":881672,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Tessensohn, Franz","contributorId":27196,"corporation":false,"usgs":true,"family":"Tessensohn","given":"Franz","email":"","affiliations":[],"preferred":false,"id":881673,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Bell, Robin E.","contributorId":26902,"corporation":false,"usgs":true,"family":"Bell","given":"Robin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":881664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Studinger, M.","contributorId":100581,"corporation":false,"usgs":true,"family":"Studinger","given":"M.","email":"","affiliations":[],"preferred":false,"id":881665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karner, G.D.","contributorId":76524,"corporation":false,"usgs":true,"family":"Karner","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":881666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":881667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blankenship, D. D.","contributorId":29012,"corporation":false,"usgs":false,"family":"Blankenship","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":881668,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":2000143,"text":"2000143 - 2005 - A retrospective perspective: evaluating population changes by repeating historic bird surveys","interactions":[],"lastModifiedDate":"2016-09-22T08:10:52","indexId":"2000143","displayToPublicDate":"2005-01-01T01:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"GTR-PSW-191","title":"A retrospective perspective: evaluating population changes by repeating historic bird surveys","docAbstract":"Acquiring an accurate picture of the changes in bird populations often involves a tradeoff between the time and effort required to complete the surveys and the number of years spent surveying the bird populations. An alternative approach to long-term monitoring efforts is to collect current data and contrast those with data collected earlier in a similar fashion on the same study site(s). To evaluate changes in bird populations, we repeated two extensive surveys, one in North Dakota (1967 vs. 1992-1993) and the other in the Platte River Valley of Nebraska (1979-1980 vs. 2001), where large areas of native vegetation had been converted to agriculture. We use these examples and others from the literature to illustrate the advantages and disadvantages of using historical data as a frame of reference for population changes.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Bird conservation implementation and integration in the Americas: Proceedings of the Third International Partners in Flight Conference","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","publisherLocation":"Albany, CA","usgsCitation":"Igl, L.D., and Johnson, D.H., 2005, A retrospective perspective: evaluating population changes by repeating historic bird surveys: General Technical Report GTR-PSW-191, 14 p.","productDescription":"14 p.","startPage":"817","endPage":"830","numberOfPages":"14","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":198567,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":11919,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/psw/publications/documents/psw_gtr191/psw_gtr191_0817-0830_igl.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a845b","contributors":{"authors":[{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":325167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":325168,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":1015343,"text":"1015343 - 2005 - Population genetic analysis of Mountain Plover using mitochondrial DNA sequence data","interactions":[],"lastModifiedDate":"2017-12-28T09:20:43","indexId":"1015343","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Population genetic analysis of Mountain Plover using mitochondrial DNA sequence data","docAbstract":"<p>Mountain Plover (<i>Charadrius montanus</i>) distribution and abundance have been reduced drastically in the past 30 years and the conversion of shortgrass prairie to agriculture has caused breeding populations to become geographically isolated. This, coupled with the fact that Mountain Plovers are thought to show fidelity to breeding grounds, leads to the prediction that the isolated breeding populations would be genetically distinct. This pattern, if observed, would have important management implications for a species at risk of extinction. Our study examined genetic variation at two mitochondrial regions for 20–30 individuals from each of four breeding sites. We found no evidence of significant population differentiation in the data from the control region or the ATPase 6/8 region. Nested-clade analysis revealed no relationship between haplotype phylogeny, and geography among the 47 control region haplotypes. In the ATPase 6/8 region, however, one of the two clades provided information suggesting that, historically, there has been continuous range expansion. Analysis of mismatch distributions and Tajima's D suggest that the Mountain Plover underwent a population expansion, following the Pleistocene glacial period. To explain the lack of detectable genetic differentiation among populations, despite their geographic isolation and fidelity to breeding locations, we speculate that there is sufficient female-mediated gene flow to homogenize gene pools among populations. Such gene flow might ensue if pair bonds are formed in mixed flocks on wintering grounds rather than on the summer breeding grounds.</p>","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/7594","usgsCitation":"Oyler-McCance, S., St. John, J., Knopf, F., and Quinn, T., 2005, Population genetic analysis of Mountain Plover using mitochondrial DNA sequence data: The Condor, v. 107, no. 2, p. 353-362, https://doi.org/10.1650/7594.","productDescription":"10 p.","startPage":"353","endPage":"362","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":477888,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/7594","text":"Publisher Index Page"},{"id":133421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db683ea6","contributors":{"authors":[{"text":"Oyler-McCance, S.J.","contributorId":75877,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":322950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. John, J.","contributorId":39737,"corporation":false,"usgs":true,"family":"St. John","given":"J.","email":"","affiliations":[],"preferred":false,"id":322949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knopf, F.L.","contributorId":26998,"corporation":false,"usgs":true,"family":"Knopf","given":"F.L.","email":"","affiliations":[],"preferred":false,"id":322947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quinn, T.W.","contributorId":37285,"corporation":false,"usgs":true,"family":"Quinn","given":"T.W.","email":"","affiliations":[],"preferred":false,"id":322948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":1008227,"text":"1008227 - 2005 - The accuracy of matrix population model projections for coniferous trees in the Sierra Nevada, California","interactions":[],"lastModifiedDate":"2022-05-23T21:17:04.127288","indexId":"1008227","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The accuracy of matrix population model projections for coniferous trees in the Sierra Nevada, California","docAbstract":"<p><span dir=\"ltr\">1 </span><span dir=\"ltr\">We </span><span dir=\"ltr\">assess the use of simple, size-based matrix population models for projecting </span><span dir=\"ltr\">population trends for six coniferous tree species in the Sierra Nevada, California. We </span><span dir=\"ltr\">used demographic data from 16 673 trees in 15 permanent plots to create 17 separate </span><span dir=\"ltr\">time-invariant, density-independent population projection models, and determined </span><span dir=\"ltr\">differences between trends projected from initial surveys with a 5-year interval and </span><span dir=\"ltr\">observed data during two subsequent 5-year time steps.</span></p><p><span dir=\"ltr\">2 </span><span dir=\"ltr\">We </span><span dir=\"ltr\">detected departures from the assumptions of the matrix modelling approach in </span><span dir=\"ltr\">terms of strong growth autocorrelations. We also found evidence of observation errors </span><span dir=\"ltr\">f</span><span dir=\"ltr\">or measurements of tree growth and, to a more limited degree, recruitment. Log linear </span><span dir=\"ltr\">analysis provided evidence of significant temporal variation in demographic rates for </span><span dir=\"ltr\">only two of the 17 populations.</span></p><p><span dir=\"ltr\">3 </span><span dir=\"ltr\">T</span><span dir=\"ltr\">otal population sizes were strongly predicted by model projections, although </span><span dir=\"ltr\">population dynamics were dominated by carryover from the previous 5-year time</span><span dir=\"ltr\">step (i.e. there were few cases of recruitment or death). Fractional changes to overall </span><span dir=\"ltr\">population sizes were less well predicted. Compared with a null model and a simple </span><span dir=\"ltr\">demographic model lacking size structure, matrix model projections were better able to </span><span dir=\"ltr\">predict total population sizes, although the differences were not statistically significant. </span><span dir=\"ltr\">Matrix model projections were also able to predict short-term rates of survival, growth </span><span dir=\"ltr\">and recruitment. Mortality frequencies were not well predicted.</span></p><p><span dir=\"ltr\">4 </span><span dir=\"ltr\">Our results suggest that simple size-structured models can accurately project future </span><span dir=\"ltr\">short-term changes for some tree populations. However, not all populations were well </span><span dir=\"ltr\">predicted and these simple models would probably become more inaccurate over longer </span><span dir=\"ltr\">projection intervals. The predictive ability of these models would also be limited by </span><span dir=\"ltr\">disturbance or other events that destabilize demographic rates.</span></p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2745.2005.01007.x","usgsCitation":"van Mantgem, P.J., and Stephenson, N.L., 2005, The accuracy of matrix population model projections for coniferous trees in the Sierra Nevada, California: Journal of Ecology, v. 93, p. 737-747, https://doi.org/10.1111/j.1365-2745.2005.01007.x.","productDescription":"11 p.","startPage":"737","endPage":"747","numberOfPages":"11","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":130674,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia and Yosemite National Parks, Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.00915527343749,\n              37.391981943533544\n            ],\n            [\n              -118.93249511718749,\n              37.391981943533544\n            ],\n            [\n              -118.93249511718749,\n              38.28131307922966\n            ],\n            [\n              -120.00915527343749,\n              38.28131307922966\n            ],\n            [\n              -120.00915527343749,\n              37.391981943533544\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.14672851562499,\n              35.81335872633348\n            ],\n            [\n              -117.94921874999999,\n              35.81335872633348\n            ],\n            [\n              -117.94921874999999,\n              36.78289206199065\n            ],\n            [\n              -119.14672851562499,\n              36.78289206199065\n            ],\n            [\n              -119.14672851562499,\n              35.81335872633348\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"93","noUsgsAuthors":false,"publicationDate":"2005-05-03","publicationStatus":"PW","scienceBaseUri":"4f4e4aaee4b07f02db66c80e","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":317090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":317089,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":1008192,"text":"1008192 - 2005 - Evaluation of ecological risk to populations of a threatened plant from an invasive biocontrol insect","interactions":[],"lastModifiedDate":"2024-09-13T15:16:21.363558","indexId":"1008192","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of ecological risk to populations of a threatened plant from an invasive biocontrol insect","docAbstract":"<p><span>Controversy exists over estimation of ecological risk in biological control. At present, the risk to the rare, federally listed Pitcher's thistle (<i>Cirsium pitcheri</i>) in North America from <i>Rhinocyllus conicus</i>, a biological control weevil now feeding on many native thistles, is unknown. We hypothesized that quantification of host specificity and potential phenological overlap between insect and plant would improve assessment of the magnitude of risk. In laboratory host specificity tests, we found no significant difference in <i>R. conicus</i> feeding or oviposition preference between the rare <i>C. pitcheri</i> and the targeted exotic weed (<i>Carduus nutans</i>) or between <i>C. pitcheri</i> and Platte thistle (<i>C. canescens</i>), a closely related native North American species known to be affected by <i>R. conicus</i>. In a garden environment, <i>R. conicus</i> spontaneously found, oviposited, and developed completely on <i>C. pitcheri</i>. Taller plants with more flower heads were significantly more vulnerable, suggesting that the greatest impact is likely to be on individuals that generally contribute the most to recruitment and population persistence. For eight sites in two national parks over three years, the calculated period of expected <i>R. conicus</i> activity overlapped 99% and 78% of the flower heads initiated by <i>C. pitcheri</i> in the southern and the northern park, respectively. A demographic model suggests that population growth rate (λ) of <i>C. pitcheri</i> will decrease from 0.9897 to 0.8686, while time to halve the population will decrease from 66.9 to 4.9 years, under the conservative assumption that oviposition by <i>R. conicus</i> on <i>C. pitcheri</i> will occur at the same rate as on the related <i>C. canescens</i>. Calculated decreases in λ and&nbsp;</span><i>t</i><sub>0.5</sub><span>&nbsp;are larger if the rate of oviposition actually observed in the laboratory tests is used. These results indicate that the weevil poses a serious quantitative, demographic risk to the threatened <i>C. pitcheri</i>. The study supports the suggestion that ecological data can be used to improve the quantification of risk to native nontarget plant populations within the potential physiological host range of a biological control insect.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/03-5212","usgsCitation":"Louda, S.M., Rand, T.A., Arnett, A.E., McClay, A.S., and McEachern, A.K., 2005, Evaluation of ecological risk to populations of a threatened plant from an invasive biocontrol insect: Ecological Applications, v. 15, no. 1, p. 234-249, https://doi.org/10.1890/03-5212.","productDescription":"16 p.","startPage":"234","endPage":"249","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":132083,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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,{"id":1008184,"text":"1008184 - 2005 - Forest turnover rates follow global and regional patterns of productivity","interactions":[],"lastModifiedDate":"2021-07-07T15:58:03.442901","indexId":"1008184","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Forest turnover rates follow global and regional patterns of productivity","docAbstract":"<p><span>Using a global database, we found that forest turnover rates (the average of tree mortality and recruitment rates) parallel broad-scale patterns of net primary productivity. First, forest turnover was higher in tropical than in temperate forests. Second, as recently demonstrated by others, Amazonian forest turnover was higher on fertile than infertile soils. Third, within temperate latitudes, turnover was highest in angiosperm forests, intermediate in mixed forests, and lowest in gymnosperm forests. Finally, within a single forest physiognomic type, turnover declined sharply with elevation (hence with temperature). These patterns of turnover in populations of trees are broadly similar to the patterns of turnover in populations of plant organs (leaves and roots) found in other studies. Our findings suggest a link between forest mass balance and the population dynamics of trees, and have implications for understanding and predicting the effects of environmental changes on forest structure and terrestrial carbon dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1461-0248.2005.00746.x","usgsCitation":"Stephenson, N.L., and van Mantgem, P.J., 2005, Forest turnover rates follow global and regional patterns of productivity: Ecology Letters, v. 8, p. 524-531, https://doi.org/10.1111/j.1461-0248.2005.00746.x.","productDescription":"8 p.","startPage":"524","endPage":"531","numberOfPages":"8","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":132341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2005-04-11","publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae42d","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":316949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":316950,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":1016376,"text":"1016376 - 2005 - Monitoring temporal change in riparian vegetation of Great Basin National Park","interactions":[],"lastModifiedDate":"2017-11-16T14:01:06","indexId":"1016376","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring temporal change in riparian vegetation of Great Basin National Park","docAbstract":"<p>Disturbance in riparian areas of semiarid ecosystems involves complex interactions of pulsed hydrologic flows, herbivory, fire, climatic effects, and anthropogenic influences. We resampled riparian vegetation within ten 10-m &times; 100-m plots that were initially sampled in 1992 in 4 watersheds of the Snake Range, east central Nevada. Our finding of significantly lower coverage of grasses, forbs, and shrubs within plots in 2001 compared with 1992 was not consistent with the management decision to remove livestock grazing from the watersheds in 1999. Change over time in cover of life-forms or bare ground was not predicted by scat counts within plots in 2001. Cover results were also not well explained by variability between the 2 sampling periods in either density of native herbivores or annual precipitation. In contrast, Engelmann spruce (<i>Picea engelmannii</i>) exhibited reduced abundance at all but the highest-elevation plot in which it occurred in 1992, and the magnitude of change in abundance was strongly predicted by plot elevation. Abundance of white fir (<i>Abies concolor</i>) individuals increased while aspen (<i>Populus tremuloides</i>) individuals decreased at 4 of 5 sites where they were sympatric, and changes in abundance in the 2 species were negatively correlated across those sites. Utility of monitoring data to detect change over time and contribute to adaptive management will vary with sample size, observer bias, use of repeatable or published methods, and precision of measurements, among other factors.</p>","language":"English","publisher":"Monte L. 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