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 Compilation of the Los Angeles quadrangle is based upon published mapping at scales of 1:12,000 and smaller, unpublished mapping at scales of 1:12,000 and smaller, with reconnaissance mapping by the compilers to resolve some edge-matching problems.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.
","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":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.P.","email":"","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":"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.
","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":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":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":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":"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.
","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":"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–W gradient and 700 km on a N–S gradient. 127 relevés 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.
\n","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 States","state":"Alaska","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-162.255031,54.978353],[-162.30058,54.832594],[-162.41737,54.877491],[-162.255031,54.978353]]],[[[-160.0179,55.15613],[-159.889174,55.287138],[-159.905365,55.164689],[-159.816419,55.178051],[-160.183466,54.91568],[-160.191392,55.108574],[-160.0179,55.15613]]],[[[-159.455311,55.061452],[-159.328791,54.980598],[-159.426615,54.942266],[-159.455311,55.061452]]],[[[-161.718614,55.154166],[-161.608634,55.116906],[-161.862504,55.127598],[-161.718614,55.154166]]],[[[-160.506927,55.32773],[-160.486174,55.193617],[-160.806009,55.12567],[-160.797147,55.381521],[-160.344369,55.362962],[-160.330722,55.261045],[-160.506927,55.32773]]],[[[-160.21178,55.455862],[-160.141834,55.387154],[-160.27997,55.395905],[-160.21178,55.455862]]],[[[-165.790523,54.171758],[-165.714198,54.120815],[-166.098255,54.103538],[-166.002465,54.213629],[-165.790523,54.171758]]],[[[-165.523466,54.299895],[-165.405377,54.212837],[-165.629725,54.132558],[-165.681458,54.236914],[-165.523466,54.299895]]],[[[-162.801865,54.48944],[-162.588883,54.450064],[-162.611891,54.368077],[-162.86005,54.425452],[-162.801865,54.48944]]],[[[-170.286318,57.128169],[-170.311707,57.219122],[-170.161647,57.229656],[-170.286318,57.128169]]],[[[178.785825,51.633434],[179.462765,51.376176],[178.634021,51.623981],[178.785825,51.633434]]],[[[-176.762478,51.867878],[-176.789558,51.957211],[-176.603598,51.997056],[-176.543309,51.838624],[-176.268243,51.785498],[-176.930952,51.59247],[-176.918065,51.788003],[-176.762478,51.867878]]],[[[-177.800647,51.778294],[-177.909185,51.596671],[-178.172666,51.839985],[-177.615311,51.85508],[-177.800647,51.778294]]],[[[-177.360408,51.727533],[-177.631523,51.696844],[-177.099266,51.936119],[-177.13096,51.762772],[-177.360408,51.727533]]],[[[177.601645,52.016377],[177.235523,51.87326],[177.661607,52.112746],[177.601645,52.016377]]],[[[179.758993,51.946595],[179.649484,51.87367],[179.482464,51.982834],[179.758993,51.946595]]],[[[-174.301818,52.278949],[-174.408277,52.289872],[-174.185347,52.417788],[-173.989415,52.325275],[-174.177679,52.233638],[-174.090169,52.139119],[-175.27485,52.018619],[-174.301818,52.278949]]],[[[-173.602446,52.153773],[-173.019588,52.097881],[-173.511915,52.031278],[-174.04675,52.122403],[-173.602446,52.153773]]],[[[173.587554,52.476785],[173.769503,52.512072],[173.725696,52.356579],[173.3955,52.402647],[173.587554,52.476785]]],[[[172.763366,52.823656],[172.469022,52.911337],[173.107249,52.993228],[173.421682,52.845477],[172.763366,52.823656]]],[[[-168.211705,53.256184],[-169.041338,52.839348],[-168.617143,53.260985],[-168.366519,53.252024],[-168.315847,53.481729],[-167.816998,53.517947],[-167.872879,53.36736],[-168.211705,53.256184]]],[[[-166.728918,54.003111],[-166.57509,53.879236],[-166.373689,54.01003],[-166.210964,53.933557],[-166.547438,53.749404],[-166.119922,53.855048],[-166.111317,53.776856],[-166.656234,53.487119],[-167.798984,53.284757],[-167.102305,53.515077],[-167.16164,53.605909],[-167.041245,53.707929],[-166.779991,53.719126],[-167.141966,53.826932],[-166.728918,54.003111]]],[[[-169.553937,56.608682],[-169.473138,56.601741],[-169.75575,56.591922],[-169.553937,56.608682]]],[[[-165.721389,60.16962],[-165.539367,59.965175],[-166.157071,59.748886],[-167.111785,59.989349],[-167.421489,60.205431],[-166.847438,60.213592],[-166.124379,60.414253],[-165.697326,60.297238],[-165.721389,60.16962]]],[[[-173.052751,60.515252],[-172.951862,60.605671],[-172.269754,60.333887],[-172.595895,60.318233],[-173.052751,60.515252]]],[[[-160.918586,58.746935],[-160.700627,58.817368],[-160.880515,58.581325],[-161.07563,58.549916],[-160.918586,58.746935]]],[[[-151.930565,60.51632],[-151.839194,60.485862],[-152.079995,60.341191],[-151.930565,60.51632]]],[[[-131.246018,54.989555],[-131.253671,54.866779],[-131.469097,54.913153],[-131.246018,54.989555]]],[[[-131.759896,55.381845],[-131.748334,55.128588],[-131.870568,55.364553],[-131.759896,55.381845]]],[[[-158.800682,55.891025],[-158.7036,55.841532],[-158.889198,55.810123],[-158.800682,55.891025]]],[[[-131.56956,55.284114],[-131.350575,55.067042],[-131.579882,55.017576],[-131.56956,55.284114]]],[[[-133.344847,55.569327],[-133.289854,55.50187],[-133.609073,55.241486],[-133.690174,55.304409],[-133.733029,55.558757],[-133.644202,55.470815],[-133.344847,55.569327]]],[[[-133.104304,55.426907],[-133.416549,55.739647],[-133.701152,55.78516],[-133.347915,55.803943],[-133.384089,55.87677],[-133.799931,55.925349],[-133.548802,56.14284],[-133.593728,56.352192],[-133.094977,56.250583],[-132.146062,55.470346],[-132.514798,55.576767],[-132.608786,55.486348],[-132.408317,55.512522],[-132.166857,55.363039],[-132.214912,55.2457],[-131.979818,55.211787],[-132.180334,55.015557],[-131.984592,55.027978],[-131.999591,54.731975],[-132.142277,54.691674],[-132.55839,54.932612],[-132.598675,55.150482],[-132.748854,54.996007],[-133.119294,55.251405],[-132.909706,54.923594],[-132.650001,54.904387],[-132.676226,54.680865],[-132.866355,54.700386],[-133.21042,55.040269],[-133.223791,55.229317],[-133.473593,55.255547],[-133.021557,55.366336],[-133.104304,55.426907]]],[[[-147.483828,60.618636],[-147.487635,60.728092],[-147.3087,60.665274],[-147.483828,60.618636]]],[[[-147.217704,60.293504],[-146.962633,60.311911],[-147.533041,59.852401],[-147.912883,59.79224],[-147.217704,60.293504]]],[[[-147.562801,60.579821],[-147.720124,60.202002],[-147.908985,60.224359],[-147.782548,60.4833],[-147.562801,60.579821]]],[[[-132.977163,56.439673],[-132.634335,56.422174],[-132.662081,56.274795],[-133.010587,56.309492],[-132.977163,56.439673]]],[[[-135.631777,58.380673],[-135.538502,58.337842],[-135.727908,58.365444],[-135.631777,58.380673]]],[[[-134.713987,58.220748],[-134.215981,58.162128],[-133.832895,57.635733],[-134.202353,57.90633],[-133.870327,57.381298],[-134.565687,57.023737],[-134.646773,57.226327],[-134.578511,57.400291],[-134.486023,57.372492],[-134.969189,58.367542],[-134.713987,58.220748]]],[[[-155.656727,55.860872],[-155.564404,55.809476],[-155.718593,55.772356],[-155.656727,55.860872]]],[[[-152.24289,58.241192],[-152.265111,58.135732],[-152.562829,58.177979],[-152.706831,58.050577],[-153.075746,58.099571],[-152.876788,58.002307],[-152.982406,57.984697],[-153.419783,58.059638],[-153.156402,58.090087],[-153.209672,58.15035],[-152.610955,58.475775],[-152.56771,58.621304],[-152.354709,58.63828],[-152.493991,58.354684],[-152.328063,58.434372],[-151.964103,58.269049],[-152.081083,58.154275],[-152.24289,58.241192]]],[[[-153.940505,56.558317],[-154.343096,56.510171],[-154.223759,56.612955],[-153.940505,56.558317]]],[[[-152.417424,57.815464],[-152.324284,57.824444],[-152.468172,57.600996],[-152.179531,57.624809],[-152.323683,57.467861],[-152.9663,57.51217],[-152.601148,57.382165],[-153.079288,57.32196],[-152.97091,57.282624],[-153.163333,57.216713],[-152.874839,57.16095],[-153.301142,56.991192],[-153.328206,57.141993],[-153.675981,57.06983],[-153.543429,56.995245],[-153.97178,56.744861],[-154.129017,56.742168],[-153.804787,57.113158],[-154.298965,56.846479],[-154.574343,57.239919],[-154.777368,57.280008],[-154.629678,57.510197],[-154.22566,57.661366],[-153.994572,57.656905],[-153.802932,57.350896],[-153.877756,57.629529],[-153.667261,57.639008],[-153.93522,57.813047],[-153.721176,57.890615],[-153.557647,57.734741],[-153.324872,57.831048],[-153.528697,57.921717],[-153.469421,57.977282],[-153.127278,57.856748],[-153.299009,57.985626],[-152.723425,57.99172],[-152.904312,57.750825],[-152.415177,57.973081],[-152.324103,57.916604],[-152.417424,57.815464]]],[[[-134.283312,55.925175],[-134.173104,55.918519],[-134.327238,55.83644],[-134.283312,55.925175]]],[[[-134.121514,56.069847],[-134.224073,56.065223],[-134.292353,56.352644],[-134.067466,56.390987],[-134.089604,56.472582],[-134.401407,56.725419],[-134.339168,56.90183],[-134.19095,56.861675],[-134.273113,56.933823],[-133.76778,56.780469],[-133.713331,56.598298],[-133.895746,56.511217],[-133.971228,56.083293],[-134.054411,56.224854],[-134.121514,56.069847]]],[[[-132.546463,56.606563],[-132.984751,56.51264],[-133.325392,56.791864],[-133.089388,56.535474],[-133.603669,56.435413],[-133.689996,56.839421],[-134.049218,57.029203],[-133.104611,57.005701],[-132.546463,56.606563]]],[[[-134.666587,56.169947],[-135.054049,56.527658],[-135.005249,56.602252],[-135.398678,56.779201],[-135.372021,57.228003],[-135.674687,57.336747],[-135.526036,57.509697],[-134.849477,57.40967],[-134.615955,56.637289],[-134.666587,56.169947]]],[[[-135.587961,57.89732],[-135.29156,57.737468],[-134.929726,57.759203],[-134.824891,57.500067],[-135.025148,57.454315],[-135.571606,57.674397],[-135.669416,57.389296],[-135.892131,57.408048],[-136.563223,58.035052],[-136.354836,58.192279],[-136.404805,58.267232],[-136.239246,58.171913],[-135.823562,58.282975],[-135.522646,58.185909],[-135.581753,57.997568],[-135.420107,58.144202],[-134.912854,57.979287],[-135.140674,57.926114],[-134.991819,57.835436],[-135.19896,57.775092],[-135.587961,57.89732]]],[[[-135.703464,57.32204],[-135.575722,57.104231],[-135.854131,56.995043],[-135.755997,57.121225],[-135.849974,57.265895],[-135.703464,57.32204]]],[[[-162.587754,63.275727],[-162.252411,63.541753],[-161.310181,63.471312],[-160.809089,63.731332],[-160.976038,64.235761],[-161.492926,64.407851],[-161.388621,64.532783],[-161.024185,64.499719],[-160.783398,64.71716],[-161.149655,64.911985],[-161.42986,64.759027],[-162.188146,64.672395],[-162.790167,64.325182],[-162.940776,64.542417],[-163.217757,64.632062],[-163.311983,64.58828],[-163.033231,64.519314],[-163.175336,64.399334],[-163.597834,64.563356],[-165.001961,64.433917],[-166.189546,64.575798],[-166.451788,64.691761],[-166.410198,64.827968],[-166.530518,64.937114],[-166.911922,65.125965],[-166.521506,65.149242],[-166.439404,65.319058],[-167.398458,65.400259],[-168.127044,65.626584],[-165.80503,66.33331],[-164.400727,66.58111],[-163.754171,66.551284],[-163.904813,66.230303],[-164.046937,66.209404],[-163.623921,66.058281],[-161.838018,66.022582],[-161.548429,66.239912],[-161.067871,66.235164],[-161.360743,66.375943],[-161.912946,66.344436],[-161.87488,66.511446],[-162.501415,66.742503],[-162.601052,66.898455],[-162.271769,66.904144],[-162.013623,66.779406],[-162.033156,66.631585],[-161.624334,66.450143],[-161.326349,66.478371],[-161.86618,66.704978],[-161.719587,66.916898],[-161.485121,66.945647],[-161.62216,67.008146],[-163.69887,67.114443],[-163.878781,67.416125],[-164.209816,67.639079],[-166.784578,68.340431],[-166.305962,68.46154],[-166.222496,68.860441],[-163.973678,68.985044],[-163.137614,69.352178],[-163.016456,69.538142],[-163.118176,69.589156],[-162.916958,69.692512],[-163.010545,69.728109],[-161.922949,70.291599],[-160.839536,70.344534],[-159.209082,70.870067],[-159.132483,70.828359],[-159.290577,70.811262],[-159.13779,70.758609],[-157.768452,70.875842],[-156.56865,71.352561],[-155.513987,71.096794],[-155.95205,70.964831],[-155.969194,70.827982],[-155.543031,70.847175],[-155.03174,71.146473],[-154.61605,71.026182],[-154.577386,70.835335],[-154.181863,70.768325],[-153.23848,70.922467],[-152.259966,70.84282],[-152.187197,70.801546],[-152.471531,70.68884],[-152.433781,70.616926],[-151.695162,70.549675],[-151.91921,70.472686],[-151.844375,70.434959],[-149.461755,70.518271],[-147.681722,70.199954],[-145.842689,70.164102],[-144.902304,69.96451],[-143.574986,70.154598],[-142.746807,70.042531],[-141.377718,69.634631],[-141.002672,69.645609],[-141.00184,60.306105],[-139.989142,60.18524],[-139.738924,60.31842],[-139.086669,60.357654],[-139.200346,60.090701],[-137.604277,59.243057],[-137.526424,58.906834],[-136.581521,59.164909],[-136.474326,59.464194],[-136.234229,59.524731],[-136.256889,59.623646],[-135.477436,59.799626],[-135.254125,59.701339],[-135.027456,59.563692],[-134.961972,59.280376],[-134.702383,59.247836],[-134.250526,58.858046],[-133.379908,58.427909],[-133.461475,58.385526],[-132.29792,57.269469],[-132.371312,57.095229],[-132.051044,57.051155],[-132.080262,56.850926],[-131.9301,56.835211],[-131.849898,56.661227],[-130.102761,56.116696],[-130.023189,55.930665],[-130.150595,55.767031],[-129.982348,55.302079],[-130.409764,54.881192],[-130.854966,54.766341],[-131.093806,55.191335],[-130.925069,55.300713],[-130.901872,55.69738],[-131.093956,55.895675],[-131.243491,55.973689],[-130.94683,55.650716],[-130.959772,55.315892],[-131.000594,55.398012],[-131.160492,55.197481],[-131.263089,55.208318],[-131.191595,55.360527],[-131.402931,55.238065],[-131.828446,55.445214],[-131.664629,55.581525],[-131.713742,55.853263],[-131.828176,55.877284],[-131.936689,55.535151],[-132.183207,55.588128],[-132.283594,55.761774],[-132.067412,55.875078],[-131.943402,56.192557],[-132.320487,55.887648],[-132.708697,56.112124],[-132.543076,56.332276],[-132.382793,56.299203],[-132.394268,56.485579],[-132.204367,56.372086],[-132.371589,56.672473],[-132.528446,56.702056],[-132.432385,56.782385],[-132.770404,56.837486],[-132.91197,56.966651],[-132.813684,57.030218],[-133.466932,57.159356],[-133.489738,57.305192],[-133.287052,57.30292],[-133.475998,57.380394],[-133.478086,57.56173],[-133.66439,57.611707],[-133.65855,57.707924],[-133.234598,57.608749],[-134.049603,58.062027],[-134.087674,58.181952],[-134.631203,58.247446],[-135.368331,59.263275],[-135.295084,59.08761],[-135.38931,58.990528],[-135.142322,58.61637],[-135.056227,58.189884],[-135.433061,58.399899],[-135.90731,58.380839],[-136.120307,58.968418],[-136.150772,58.757266],[-136.247343,58.752935],[-136.877826,58.962392],[-136.928643,58.900131],[-136.463258,58.781607],[-136.422309,58.647412],[-136.246368,58.663185],[-136.041818,58.380161],[-136.70125,58.219416],[-137.608804,58.601234],[-138.131,59.002613],[-139.855565,59.53666],[-139.51818,59.687814],[-139.625896,59.904084],[-139.486032,60.012407],[-140.272266,59.700609],[-141.423134,59.877329],[-141.299609,59.937397],[-141.384318,60.071598],[-141.73624,59.961905],[-142.698419,60.093333],[-144.035037,60.020202],[-144.59088,59.795581],[-144.052539,60.041759],[-144.892815,60.292821],[-144.964135,60.444466],[-145.113885,60.300978],[-145.9469,60.455395],[-145.712891,60.583249],[-146.689523,60.271279],[-146.637783,60.467178],[-145.795141,60.601121],[-145.841742,60.685893],[-146.253471,60.622315],[-146.101458,60.719277],[-146.191553,60.73199],[-146.668151,60.692761],[-146.183555,60.846969],[-146.262969,60.867787],[-146.801009,60.80516],[-146.653827,61.047752],[-146.262451,61.090246],[-146.613659,61.118799],[-147.378483,60.877845],[-147.525453,60.896057],[-147.514173,61.096127],[-147.66899,60.841563],[-148.134384,60.791268],[-147.715826,61.249669],[-148.426951,60.827113],[-148.384491,60.687754],[-148.148059,60.758536],[-148.091712,60.676249],[-148.30652,60.550702],[-148.115163,60.596029],[-147.942106,60.444029],[-148.025994,60.279029],[-148.171278,60.335266],[-148.362497,60.221849],[-147.913221,60.132576],[-148.016432,59.999344],[-147.848469,60.078962],[-147.917935,59.985997],[-148.225235,59.950195],[-148.148011,59.994952],[-148.274241,60.013318],[-148.293213,60.151289],[-148.401601,59.9976],[-149.133115,60.044918],[-149.287588,59.906506],[-149.341584,60.076762],[-149.584254,59.866905],[-149.526358,59.703258],[-149.666147,59.850527],[-149.746364,59.860881],[-149.74622,59.637585],[-150.028296,59.788652],[-149.928962,59.723245],[-150.392481,59.387265],[-150.316945,59.585285],[-150.478742,59.458498],[-150.547729,59.590331],[-150.942212,59.233136],[-151.915684,59.227522],[-151.991618,59.313617],[-151.826047,59.439049],[-151.272459,59.555823],[-150.927312,59.793431],[-151.503822,59.633662],[-151.829137,59.720151],[-151.71801,60.009473],[-151.30609,60.387257],[-151.40927,60.720558],[-150.353702,61.031822],[-150.217179,60.930001],[-149.111617,60.878949],[-150.039304,61.144291],[-149.429513,61.447165],[-149.542776,61.489995],[-149.919682,61.26347],[-150.646221,61.296689],[-151.783271,60.868713],[-151.702833,60.727778],[-151.860179,60.753282],[-152.309221,60.506384],[-152.234199,60.393888],[-152.715881,60.241274],[-152.596784,60.101071],[-152.745083,59.904232],[-153.225937,59.858343],[-153.021945,59.834133],[-153.214156,59.634271],[-153.366613,59.633729],[-153.439977,59.784652],[-153.577828,59.555991],[-154.087803,59.367967],[-154.260121,59.14302],[-153.254798,58.861756],[-153.445002,58.70931],[-153.851432,58.611872],[-154.291163,58.13568],[-154.990431,58.013424],[-155.37861,57.710766],[-155.617188,57.769715],[-155.731412,57.555546],[-156.044031,57.564455],[-156.036722,57.470941],[-156.481632,57.338705],[-156.551239,57.2908],[-156.336427,57.336081],[-156.355401,57.159679],[-156.5472,56.986488],[-157.201724,56.767511],[-157.45759,56.848204],[-157.536486,56.615317],[-158.042012,56.596744],[-157.859766,56.483668],[-158.402954,56.455193],[-158.498837,56.38011],[-158.112718,56.240286],[-158.475258,56.093405],[-158.417889,56.036796],[-158.575042,56.121129],[-158.737009,55.953313],[-159.472801,55.83905],[-159.696713,55.573306],[-159.627482,55.803248],[-159.81107,55.85657],[-160.410823,55.66538],[-160.481633,55.489068],[-160.909625,55.52414],[-161.231535,55.357452],[-161.445196,55.368103],[-161.376102,55.569794],[-161.587047,55.62006],[-161.878076,55.223599],[-162.041236,55.236806],[-162.053281,55.074212],[-162.489735,55.064849],[-162.4168,55.104096],[-162.584872,55.298386],[-162.692309,55.197313],[-162.569289,54.97124],[-162.881639,54.934785],[-163.165036,55.099214],[-163.226313,55.042694],[-163.067008,54.979302],[-163.373207,54.800841],[-163.057228,54.688101],[-163.344791,54.751211],[-163.572383,54.623211],[-164.179617,54.599188],[-164.41682,54.431713],[-164.844931,54.417583],[-164.949781,54.575697],[-164.48678,54.922441],[-163.568159,55.049145],[-163.318885,54.88012],[-163.268767,55.145465],[-162.86152,55.198339],[-161.816225,55.888993],[-160.898682,55.999014],[-160.814205,55.953834],[-160.940845,55.822529],[-160.806014,55.738241],[-160.668102,55.723556],[-160.769155,55.858268],[-160.293924,55.765556],[-160.273176,55.856881],[-160.534541,55.989498],[-160.357156,56.279582],[-158.957471,56.851184],[-158.660298,56.789015],[-158.659945,57.034585],[-158.376249,57.265542],[-157.786046,57.542189],[-157.573472,57.522732],[-157.703782,57.721768],[-157.596601,58.08867],[-157.39735,58.173383],[-157.524477,58.414506],[-156.980888,58.891031],[-158.190283,58.61371],[-158.512547,58.78311],[-158.487015,58.999872],[-158.179588,59.012245],[-158.522231,59.021763],[-158.789632,58.814257],[-158.827852,58.626432],[-158.704052,58.482759],[-158.880927,58.39067],[-159.657362,58.938712],[-159.908386,58.779903],[-160.322922,58.953953],[-160.31778,59.070477],[-161.751999,58.551842],[-162.171722,58.648441],[-161.769501,58.774937],[-161.828171,59.062702],[-162.048584,59.254177],[-161.738312,59.46701],[-162.453176,60.27854],[-162.1724,60.624038],[-162.571198,60.25189],[-162.453176,60.197639],[-162.503647,59.99923],[-163.349027,59.81989],[-164.079837,59.828034],[-164.1916,60.024496],[-165.129403,60.433707],[-164.961439,60.508391],[-165.362975,60.506866],[-164.97125,60.711434],[-164.945958,60.92106],[-165.132488,60.850145],[-165.194945,60.9739],[-164.87045,61.079564],[-165.2897,61.181714],[-165.403007,61.06706],[-165.578127,61.100361],[-165.662892,61.29457],[-165.921194,61.40308],[-165.767226,61.45695],[-165.807627,61.529171],[-166.165232,61.550618],[-166.158976,61.700437],[-165.82214,61.67061],[-166.092081,61.800733],[-165.640216,61.848041],[-165.706155,62.108365],[-164.837703,62.685267],[-164.783858,62.946154],[-164.493118,63.17767],[-164.066991,63.262276],[-163.316203,63.037763],[-162.587754,63.275727]]],[[[-169.267598,63.343995],[-168.692939,63.302282],[-168.818344,63.163224],[-169.396308,63.136617],[-169.638309,62.937527],[-170.512102,63.341881],[-171.067663,63.424579],[-171.433319,63.307578],[-171.849984,63.485039],[-171.699647,63.781728],[-170.950817,63.570127],[-170.281988,63.68502],[-169.974858,63.470618],[-169.267598,63.343995]]],[[[-162.614621,63.621832],[-162.341892,63.594062],[-162.676581,63.555648],[-162.614621,63.621832]]]]},\"properties\":{\"name\":\"Alaska\",\"nation\":\"USA \"}}]}","volume":"35","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7657e4b0abf75cf2bf37","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":355658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":355657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, F. J. A.","contributorId":96196,"corporation":false,"usgs":true,"family":"Daniels","given":"F.","email":"","middleInitial":"J. A.","affiliations":[],"preferred":false,"id":355659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":"
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 (Ursus arctos horribilis) management actions.
\nThe 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.
\nThe 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 (Pinus albicaulis) and cutthroat trout (Oncorhynchus clarki) 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.
\nWe began a new study in Grand Teton National Park evaluating habitat use both temporally and spatially between grizzly and black (Ursus americanus) 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’s field season are summarized in this report.
\nWhitebark 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.
\nArmy cutworm moths (Euxoa auxiliaris) 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.
\nHuman 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 (PhATE), 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.
","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. of 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":"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.
","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 of 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":70031236,"text":"70031236 - 2005 - Forest turnover rates follow global and regional patterns of productivity","interactions":[],"lastModifiedDate":"2020-11-16T15:41:55.077789","indexId":"70031236","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":"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.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1461-0248.2005.00746.x","issn":"1461023X","usgsCitation":"Stephenson, N., and van Mantgem, P.J., 2005, Forest turnover rates follow global and regional patterns of productivity: Ecology Letters, v. 8, no. 5, p. 524-531, https://doi.org/10.1111/j.1461-0248.2005.00746.x.","productDescription":"8 p.","startPage":"524","endPage":"531","numberOfPages":"8","costCenters":[],"links":[{"id":238618,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"5","noUsgsAuthors":false,"publicationDate":"2005-04-11","publicationStatus":"PW","scienceBaseUri":"505a133ae4b0c8380cd54589","contributors":{"authors":[{"text":"Stephenson, N.L.","contributorId":17559,"corporation":false,"usgs":true,"family":"Stephenson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":430650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, P. J.","contributorId":73527,"corporation":false,"usgs":true,"family":"van Mantgem","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":430651,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70031582,"text":"70031582 - 2005 - A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains","interactions":[],"lastModifiedDate":"2017-04-11T09:45:42","indexId":"70031582","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains","docAbstract":"Droughts are normal climate episodes, yet they are among the most expensive natural disasters in the world. Knowledge about the timing, severity, and pattern of droughts on the landscape can be incorporated into effective planning and decision-making. In this study, we present a data mining approach to modeling vegetation stress due to drought and mapping its spatial extent during the growing season. Rule-based regression tree models were generated that identify relationships between satellite-derived vegetation conditions, climatic drought indices, and biophysical data, including land-cover type, available soil water capacity, percent of irrigated farm land, and ecological type. The data mining method builds numerical rule-based models that find relationships among the input variables. Because the models can be applied iteratively with input data from previous time periods, the method enables to provide predictions of vegetation conditions farther into the growing season based on earlier conditions. Visualizing the model outputs as mapped information (called VegPredict) provides a means to evaluate the model. We present prototype maps for the 2002 drought year for Nebraska and South Dakota and discuss potential uses for these maps.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2005.02.003","issn":"09242716","usgsCitation":"Tadesse, T., Brown, J.F., and Hayes, M., 2005, A new approach for predicting drought-related vegetation stress: Integrating satellite, climate, and biophysical data over the U.S. central plains: ISPRS Journal of Photogrammetry and Remote Sensing, v. 59, no. 4, p. 244-253, https://doi.org/10.1016/j.isprsjprs.2005.02.003.","productDescription":"10 p.","startPage":"244","endPage":"253","numberOfPages":"10","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":212388,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.isprsjprs.2005.02.003"},{"id":239865,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e49be4b0c8380cd4676f","contributors":{"authors":[{"text":"Tadesse, Tsegaye 0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":432214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":3241,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":432212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, M.J.","contributorId":56855,"corporation":false,"usgs":true,"family":"Hayes","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":432213,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035419,"text":"70035419 - 2005 - Reconnaissance study of late quaternary faulting along Cerro Goden fault zone, western Puerto Rico","interactions":[],"lastModifiedDate":"2020-09-01T21:09:35.440122","indexId":"70035419","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Reconnaissance study of late quaternary faulting along Cerro Goden fault zone, western Puerto Rico","docAbstract":"The Cerro Goden fault zone is associated with a curvilinear, continuous, and prominent topographic lineament in western Puerto Rico. The fault varies in strike from northwest to west. In its westernmost section, the fault is ∼500 m south of an abrupt, curvilinear mountain front separating the 270- to 361-m-high La Cadena de San Francisco range from the Rio Añasco alluvial valley. The Quaternary fault of the Añasco Valley is in alignment with the bedrock fault mapped by D. McIntyre (1971) in the Central La Plata quadrangle sheet east of Añasco Valley. Previous workers have postulated that the Cerro Goden fault zone continues southeast from the Añasco Valley and merges with the Great Southern Puerto Rico fault zone of south-central Puerto Rico. West of the Añasco Valley, the fault continues offshore into the Mona Passage (Caribbean Sea) where it is characterized by offsets of seafloor sediments estimated to be of late Quaternary age. Using both 1:18,500 scale air photographs taken in 1936 and 1:40,000 scale photographs taken by the U.S. Department of Agriculture in 1986, we identified geomorphic features suggestive of Quaternary fault movement in the Añasco Valley, including aligned and deflected drainages, apparently offset terrace risers, and mountain-facing scarps. Many of these features suggest right-lateral displacement.
Mapping of Paleogene bedrock units in the uplifted La Cadena range adjacent to the Cerro Goden fault zone reveals the main tectonic events that have culminated in late Quaternary normal-oblique displacement across the Cerro Goden fault. Cretaceous to Eocene rocks of the La Cadena range exhibit large folds with wavelengths of several kms. The orientation of folds and analysis of fault striations within the folds indicate that the folds formed by northeast-southwest shortening in present-day geographic coordinates. The age of deformation is well constrained as late Eocene–early Oligocene by an angular unconformity separating folded, deep-marine middle Eocene rocks from transgressive, shallow-marine rocks of middle-upper Oligocene age. Rocks of middle Oligocene–early Pliocene age above unconformity are gently folded about the roughly east-west–trending Puerto Rico–Virgin Islands arch, which is well expressed in the geomorphology of western Puerto Rico. Arching appears ongoing because onshore and offshore late Quaternary oblique-slip faults closely parallel the complexly deformed crest of the arch and appear to be related to extensional strains focused in the crest of the arch. We estimate ∼4 km of vertical throw on the Cerro Goden fault based on the position of the carbonate cap north of the fault in the La Cadena de San Francisco and its position south of the fault inferred from seismic reflection data in Mayaguez Bay. Based on these observations, our interpretation of the kinematics and history of the Cerro Goden fault zone includes two major phases of motion: (1) Eocene northeast-southwest shortening possibly accompanied by left-lateral shearing as determined by previous workers on the Great Southern Puerto Rico fault zone; and (2) post–early Pliocene regional arching of Puerto Rico accompanied by normal offset and right-lateral shear along faults flanking the crest of the arch. The second phase of deformation accompanied east-west opening of the Mona rift and is inferred to continue to the present day.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/0-8137-2385-X.115","usgsCitation":"Mann, P., Prentice, C., Hippolyte, J., Grindlay, N., Abrams, L., and Lao-Davila, D., 2005, Reconnaissance study of late quaternary faulting along Cerro Goden fault zone, western Puerto Rico: Special Paper of the Geological Society of America, v. 385, p. 115-137, https://doi.org/10.1130/0-8137-2385-X.115.","productDescription":"23 p.","startPage":"115","endPage":"137","numberOfPages":"23","costCenters":[],"links":[{"id":243175,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Cerro Goden fault zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.3187255859375,\n 17.926475979176438\n ],\n [\n -66.33270263671875,\n 17.926475979176438\n ],\n [\n -66.33270263671875,\n 18.521283325496277\n ],\n [\n -67.3187255859375,\n 18.521283325496277\n ],\n [\n -67.3187255859375,\n 17.926475979176438\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"385","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9913e4b0c8380cd82d6f","contributors":{"authors":[{"text":"Mann, P.","contributorId":55167,"corporation":false,"usgs":true,"family":"Mann","given":"P.","email":"","affiliations":[],"preferred":false,"id":450576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prentice, C.S.","contributorId":56667,"corporation":false,"usgs":true,"family":"Prentice","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":450577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hippolyte, J.-C.","contributorId":36377,"corporation":false,"usgs":true,"family":"Hippolyte","given":"J.-C.","email":"","affiliations":[],"preferred":false,"id":450574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grindlay, N.R.","contributorId":28445,"corporation":false,"usgs":true,"family":"Grindlay","given":"N.R.","email":"","affiliations":[],"preferred":false,"id":450573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abrams, L.J.","contributorId":98968,"corporation":false,"usgs":true,"family":"Abrams","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":450578,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lao-Davila, D.","contributorId":44753,"corporation":false,"usgs":true,"family":"Lao-Davila","given":"D.","email":"","affiliations":[],"preferred":false,"id":450575,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":1016396,"text":"1016396 - 2005 - Assessing mercury exposure and effects to American dippers in headwater streams near mining sites","interactions":[],"lastModifiedDate":"2021-07-09T20:27:46.8287","indexId":"1016396","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing mercury exposure and effects to American dippers in headwater streams near mining sites","docAbstract":"To evaluate mercury (Hg) exposure and possible adverse effects of Hg on American dipper (Cinclus mexicanus) reproduction, we collected eggs and nestling feathers and the larval/nymph form of three Orders of aquatic macroinvertebrates (Ephemeroptera, Plecoptera and Trichoptera = EPT) important in their diet from three major headwater tributaries of the upper Willamette River, Oregon in 2002. The Coast Fork Willamette River is contaminated with Hg due to historical cinnabar (HgS) mining at the Black Butte Mine; the Row River is affected by past gold-mining operations located within the Bohemia Mining District, where Hg was used in the amalgamation process to recover gold; and the Middle Fork Willamette River is the reference area with no known mining. Methyl mercury (MeHg) concentrations (geometric mean) in composite EPT larvae (111.9 ng/g dry weight [dw] or 19.8 ng/g wet weight [ww]), dipper eggs (38.5 ng/g ww) and nestling feathers (1158 ng/g ww) collected from the Coast Fork Willamette were significantly higher than MeHg concentrations in EPT and dipper samples from other streams. Total mercury (THg) concentrations in surface sediments along the same Hg-impacted streams were investigated by others in 1999 (Row River tributaries) and 2002 (Coast Fork). The reported sediment THg concentrations paralleled our biological findings. Dipper breeding territories at higher elevations had fewer second clutches; however, dipper reproductive success along all streams (including the lower elevation and most Hg-contaminated Coast Fork), was judged excellent compared to other studies reviewed. Furthermore, MeHg concentrations in EPT samples from this study were well below dietary concentrations in other aquatic bird species, such as loons and ducks, reported to cause Hg-related reproductive problems. Our data suggest that either dipper feathers or EPT composites used to project MeHg concentrations in dipper feathers (with biomagnification factor of 10–20×) may be used, but with caution, to screen headwater streams for potential Hg-related effects on dippers. When actual feather concentrations or projected feather concentrations are equal to or lower than concentrations reported for the Coast Fork, dippers are expected to reproduce well (assuming adequate prey and suitable nest sites). When Hg concentrations are substantially higher, more detailed investigations may be required. Birds feeding almost exclusively on fish (e.g., osprey [Pandion haliaetus]) and usually found further downstream from the headwaters would not be adequately represented by dippers given the higher MeHg concentrations in fish resulting from biomagnification, compared to lower trophic level invertebrates.
","language":"English","publisher":"Springer","doi":"10.1007/s10646-005-0023-7","usgsCitation":"Henny, C.J., Kaiser, J.L., Packard, H.A., Grove, R.A., and Taft, M.R., 2005, Assessing mercury exposure and effects to American dippers in headwater streams near mining sites: Ecotoxicology, v. 14, no. 7, p. 709-725, https://doi.org/10.1007/s10646-005-0023-7.","productDescription":"17 p.","startPage":"709","endPage":"725","numberOfPages":"17","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":134118,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.20617675781251,\n 43.43098253248489\n ],\n [\n -122.12951660156249,\n 43.43098253248489\n ],\n [\n -122.12951660156249,\n 43.967121395851485\n ],\n [\n -123.20617675781251,\n 43.967121395851485\n ],\n [\n -123.20617675781251,\n 43.43098253248489\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2005-09-14","publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a73","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":324174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaiser, James L.","contributorId":57033,"corporation":false,"usgs":true,"family":"Kaiser","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":324178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Packard, Heidi A.","contributorId":31727,"corporation":false,"usgs":true,"family":"Packard","given":"Heidi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":324176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grove, Robert A.","contributorId":52134,"corporation":false,"usgs":true,"family":"Grove","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":324177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taft, Mike R.","contributorId":17959,"corporation":false,"usgs":true,"family":"Taft","given":"Mike","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":324175,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70029238,"text":"70029238 - 2005 - Nitrogen transport and transformations in a coastal plain watershed: Influence of geomorphology on flow paths and residence times ","interactions":[],"lastModifiedDate":"2018-08-03T16:46:32","indexId":"70029238","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen transport and transformations in a coastal plain watershed: Influence of geomorphology on flow paths and residence times ","docAbstract":"Nitrogen transport and groundwater‐surface water interactions were examined in a coastal plain watershed in the southeastern United States. Groundwater age dates, calculated using chlorofluorocarbon and tritium concentrations, along with concentrations of nitrogen species and other redox‐active constituents, were used to evaluate the fate and transport of nitrate. Nitrate is stable only in recently recharged (<10 years) water found in the upper few meters of saturated thickness in the upland portion of a surficial aquifer. Groundwater with a residence time between 10 and 30 years typically has low nitrate and elevated excess N2 concentrations, indications that denitrification has reduced nitrate concentrations. Groundwater older than 30 years also has low nitrate concentrations but contains little or no excess N2, suggesting that this water did not contain elevated concentrations of nitrate along its flow path. Nitrate transport to streams varies between first‐ and third‐order streams. Hydrologic, lithologic, and chemical data suggest that the surficial aquifer is the dominant source of flow and nitrate to a first‐order stream. Iron‐reducing conditions occur in groundwater samples from the bed and banks of the first‐order stream, suggesting that direct groundwater discharge is denitrified prior to entering the stream. However, nitrogen from the surficial aquifer is transported directly to the stream via a tile drain that bypasses these reduced zones. In the alluvial valley of a third‐order stream the erosion of a confining layer creates a much thicker unconfined alluvial aquifer with larger zones of nitrate stability. Age dating and chemical information (SiO2, Na/K ratios) suggest that water in the alluvial aquifer is derived from short flow paths through the riparian zone and/or from adjacent streams during high‐discharge periods.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2003WR002953","usgsCitation":"Tesoriero, A.J., Spruill, T.B., Mew, H., Farrell, K.M., and Harden, S.L., 2005, Nitrogen transport and transformations in a coastal plain watershed: Influence of geomorphology on flow paths and residence times : Water Resources Research, v. 41, no. 2, p. 1-15, https://doi.org/10.1029/2003WR002953.","productDescription":"Article W02008; 15 p.","startPage":"1","endPage":"15","numberOfPages":"15","costCenters":[],"links":[{"id":477716,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2003wr002953","text":"Publisher Index Page"},{"id":237588,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2005-02-08","publicationStatus":"PW","scienceBaseUri":"505a66f4e4b0c8380cd730cd","contributors":{"authors":[{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":421878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spruill, Timothy B.","contributorId":51724,"corporation":false,"usgs":true,"family":"Spruill","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":421877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mew, H.E. Jr.","contributorId":28669,"corporation":false,"usgs":true,"family":"Mew","given":"H.E.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":421876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Kathleen M.","contributorId":64476,"corporation":false,"usgs":true,"family":"Farrell","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":421879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harden, Stephen L. 0000-0001-6886-0099 slharden@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-0099","contributorId":2212,"corporation":false,"usgs":true,"family":"Harden","given":"Stephen","email":"slharden@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":421875,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70029168,"text":"70029168 - 2005 - Relation of baseflow to row crop intensity in Iowa","interactions":[],"lastModifiedDate":"2012-03-12T17:20:54","indexId":"70029168","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Relation of baseflow to row crop intensity in Iowa","docAbstract":"Increasing baseflow and baseflow percentage over the second half of the 20th century in Iowa has contributed to increasing nitrate-nitrogen concentrations measured in Iowa rivers because nitrate is primarily delivered to streams as baseflow and tile drainage. The relation of baseflow and baseflow percentage to row crop land use was evaluated for 11 Iowa rivers and their watersheds for their period of streamflow record (58-73 years period). Results indicated increasing baseflow in Iowa's rivers is significantly related to increasing row crop intensity. A 13-52% increase in row crop percentage in many Iowa watersheds has contributed to an increase of 33-135 mm increase in baseflow and 7-31% increase in baseflow percentage. Limited historical water quality data from two larger Iowa rivers (Cedar and Raccoon rivers) suggest that increasing row crop land use over the 20th century has produced more baseflow and contributed to increasing nitrate concentrations in Iowa's rivers. ?? 2004 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agriculture, Ecosystems and Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.agee.2004.02.008","issn":"01678809","usgsCitation":"Schilling, K.E., 2005, Relation of baseflow to row crop intensity in Iowa: Agriculture, Ecosystems and Environment, v. 105, no. 1-2, p. 433-438, https://doi.org/10.1016/j.agee.2004.02.008.","startPage":"433","endPage":"438","numberOfPages":"6","costCenters":[],"links":[{"id":210662,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agee.2004.02.008"},{"id":237655,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a676e4b0e8fec6cdc1a7","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":421606,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70029039,"text":"70029039 - 2005 - Calculation of broadband time histories of ground motion, Part II: Kinematic and dynamic modeling using theoretical Green's functions and comparison with the 1994 northridge earthquake","interactions":[],"lastModifiedDate":"2016-01-27T13:48:35","indexId":"70029039","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Calculation of broadband time histories of ground motion, Part II: Kinematic and dynamic modeling using theoretical Green's functions and comparison with the 1994 northridge earthquake","docAbstract":"In the evolution of methods for calculating synthetic time histories of ground motion for postulated earthquakes, kinematic source models have dominated to date because of their ease of application. Dynamic models, however, which incorporate a physical relationship between important faulting parameters of stress drop, slip, rupture velocity, and rise time, are becoming more accessible. This article compares a class of kinematic models based on the summation of a fractal distribution of subevent sizes with a dynamic model based on the slip-weakening friction law. Kinematic modeling is done for the frequency band 0.2 to 10.0. Hz, dynamic models are calculated from 0.2 to 2.0. Hz. The strong motion data set for the 1994 Northridge earthquake is used to evaluate and compare the synthetic time histories. Source models are propagated to the far field by convolution with 1D and 3D theoretical Green’s functions. In addition, the kinematic model is used to evaluate the importance of propagation path effects: velocity structure, scattering, and nonlinearity. At present, the kinematic model gives a better broadband fit to the Northridge ground motion than the simple slip-weakening dynamic model. In general, the dynamic model overpredicts rise times and produces insufficient shorter-period energy. Within the context of the slip-weakening model, the Northridge ground motion requires a short slip-weakening distance, on the order of 0.15 m or less. A more complex dynamic model including rate weakening or one that allows shorter rise times near the hypocenter may fit the data better.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120040136","issn":"00371106","usgsCitation":"Hartzell, S., Guatteri, M., Mai, P., Liu, P., and Fisk, M.R., 2005, Calculation of broadband time histories of ground motion, Part II: Kinematic and dynamic modeling using theoretical Green's functions and comparison with the 1994 northridge earthquake: Bulletin of the Seismological Society of America, v. 95, no. 2, p. 614-645, https://doi.org/10.1785/0120040136.","productDescription":"32 p.","startPage":"614","endPage":"645","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":236419,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":209724,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120040136"}],"volume":"95","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f301e4b0c8380cd4b53f","contributors":{"authors":[{"text":"Hartzell, S.","contributorId":12603,"corporation":false,"usgs":true,"family":"Hartzell","given":"S.","email":"","affiliations":[],"preferred":false,"id":421059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guatteri, Mariagiovanna","contributorId":29979,"corporation":false,"usgs":true,"family":"Guatteri","given":"Mariagiovanna","email":"","affiliations":[],"preferred":false,"id":421062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mai, P.M.","contributorId":32712,"corporation":false,"usgs":true,"family":"Mai","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":421063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, P.-C.","contributorId":25339,"corporation":false,"usgs":true,"family":"Liu","given":"P.-C.","email":"","affiliations":[],"preferred":false,"id":421061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisk, M. R.","contributorId":17031,"corporation":false,"usgs":false,"family":"Fisk","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":421060,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":1016618,"text":"1016618 - 2005 - Markov Chain Monte Carlo estimation of species distributions: A case study of the swift fox in western Kansas","interactions":[],"lastModifiedDate":"2022-12-05T17:38:55.88902","indexId":"1016618","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Markov Chain Monte Carlo estimation of species distributions: A case study of the swift fox in western Kansas","docAbstract":"Accurate maps of species distributions are essential tools for wildlife research and conservation. Unfortunately, biologists often are forced to rely on maps derived from observed occurrences recorded opportunistically during observation periods of variable length. Spurious inferences are likely to result because such maps are profoundly affected by the duration and intensity of observation and by methods used to delineate distributions, especially when detection is uncertain. We conducted a systematic survey of swift fox (Vulpes velox) distribution in western Kansas, USA, and used Markov chain Monte Carlo (MCMC) image restoration to rectify these problems. During 1997–1999, we searched 355 townships (ca. 93 km2) 1–3 times each for an average cost of $7,315 per year and achieved a detection rate (probability of detecting swift foxes, if present, during a single search) of θ̂ = 0.69 (95% Bayesian confidence interval [BCI] = [0.60, 0.77]). Our analysis produced an estimate of the underlying distribution, rather than a map of observed occurrences, that reflected the uncertainty associated with estimates of model parameters. To evaluate our results, we analyzed simulated data with similar properties. Results of our simulations suggest negligible bias and god good precision when probabilities of detection on ≥1 survey occasions (cumulative probabilities of detection) exceed 0.65. Although the use of MCMC image restoration has been limited by theoretical and computational complexities, alternatives do not possess the same advantages. Image models accommodate uncertain detection, do not require spatially independent data or a census of map units, and can be used to estimate species distributions directly from observations without relying on habitat covariates or parameters that must be estimated subjectively. These features facilitate economical surveys of large regions, the detection of temporal trends in distribution, and assessments of landscape-level relations between species and habitats. Requirements for the use of MCMC image restoration include study areas that can be partitioned into regular grids of mapping units, spatially contagious species distributions, reliable methods for identifying target species, and cumulative probabilities of detection ≥0.65.
","language":"English","publisher":"Wildlife Society","doi":"10.2193/0022-541X(2005)069[0483:MCMCEO]2.0.CO;2","usgsCitation":"Sargeant, G.A., Sovada, M.A., Slivinski, C.C., and Johnson, D.H., 2005, Markov Chain Monte Carlo estimation of species distributions: A case study of the swift fox in western Kansas: Journal of Wildlife Management, v. 69, no. 2, p. 483-487, https://doi.org/10.2193/0022-541X(2005)069[0483:MCMCEO]2.0.CO;2.","productDescription":"5 p.","startPage":"483","endPage":"487","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":132903,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.1195294810754,\n 40\n ],\n [\n -101.97864152565768,\n 40\n ],\n [\n -101.97864152565768,\n 37.01223829729045\n ],\n [\n -99.1195294810754,\n 37.01223829729045\n ],\n [\n -99.1195294810754,\n 40\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a25e4b07f02db60eebc","contributors":{"authors":[{"text":"Sargeant, Glen A. 0000-0003-3845-8503 gsargeant@usgs.gov","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":1301,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen","email":"gsargeant@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":324521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sovada, Marsha A. msovada@usgs.gov","contributorId":2601,"corporation":false,"usgs":true,"family":"Sovada","given":"Marsha","email":"msovada@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":324522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slivinski, Christiane C.","contributorId":174792,"corporation":false,"usgs":false,"family":"Slivinski","given":"Christiane","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":324520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":324523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":1016385,"text":"1016385 - 2005 - A hierarchical perspective of plant diversity","interactions":[],"lastModifiedDate":"2012-02-02T00:04:50","indexId":"1016385","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3214,"text":"The Quarterly Review of Biology","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical perspective of plant diversity","docAbstract":"Predictive models of plant diversity have typically focused on either a landscapea??s capacity for richness (equilibrium models), or on the processes that regulate competitive exclusion, and thus allow species to coexist (nonequilibrium models). Here, we review the concepts and purposes of a hierarchical, multiscale model of the controls of plant diversity that incorporates the equilibrium model of climatic favorability at macroscales, nonequilibrium models of competition at microscales, and a mixed model emphasizing environmental heterogeneity at mesoscales.\r\n\r\nWe evaluate the conceptual model using published data from three spatially nested datasets: (1) a macroscale analysis of ecoregions in the continental and western U.S.; (2) a mesoscale study in California; and (3) a microscale study in the Siskiyou Mountains of Oregon and California. At the macroscale (areas from 3889 km2 to 638,300 km2), climate (actual evaporation) was a strong predictor of tree diversity (R2 = 0.80), as predicted by the conceptual model, but area was a better predictor for vascular plant diversity overall (R2 = 0.38), which suggests different types of plants differ in their sensitivity to climatic controls. At mesoscales (areas from 1111 km2 to 15,833 km2 ), climate was still an important predictor of richness (R2 = 0.52), but, as expected, topographic heterogeneity explained an important share of the variance (R2 = 0.19), showed positive correlations with diversity of trees, shrubs, and annual and perennial herbs, and was the primary predictor of shrub and annual plant species richness. At microscales (0.1 ha plots), spatial patterns of diversity showed a clear unimodal pattern along a climatea??driven productivity gradient and a negative relationship with soil fertility. The strong decline in understory and total diversity at the most productive sites suggests that competitive controls, as predicted, can override climatic controls at this scale.\r\n\r\nWe conclude that this hierarchical, multiscale model provides a sound basis to understand and analyze plant species diversity. Specifically, future research should employ the principles in this paper to explore climatic controls on species richness of different life forms, better quantify environmental heterogeneity in landscapes, and analyze how these largea??scale factors interact with local nonequilibrium dynamics to maintain plant diversity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quarterly Review of Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Sarr, D., Hibbs, D., and Huston, M., 2005, A hierarchical perspective of plant diversity: The Quarterly Review of Biology, v. 80, no. 2, p. 187-212.","productDescription":"p. 187-212","startPage":"187","endPage":"212","numberOfPages":"26","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":134432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae4d0","contributors":{"authors":[{"text":"Sarr, Daniel","contributorId":71148,"corporation":false,"usgs":true,"family":"Sarr","given":"Daniel","affiliations":[],"preferred":false,"id":324145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hibbs, D.E.","contributorId":12435,"corporation":false,"usgs":true,"family":"Hibbs","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":324143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huston, M.","contributorId":58612,"corporation":false,"usgs":true,"family":"Huston","given":"M.","email":"","affiliations":[],"preferred":false,"id":324144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70031269,"text":"70031269 - 2005 - Rainfall-induced landslides in Puerto Rico: An overview","interactions":[],"lastModifiedDate":"2012-03-12T17:21:13","indexId":"70031269","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Rainfall-induced landslides in Puerto Rico: An overview","docAbstract":"Rainfall-induced landslides are common in Puerto Rico (PR). The presence of steep slopes in mountainous terrain, coupled with weathered soils and intense rainfall, leads to severe slope-stability problems throughout the island. Episodic triggering events such as hurricanes and earthquakes further exacerbate these problems. All physiographic provinces of the island have experienced landslides. The stability of natural and man-made slopes is a serious concern for government authorities and the civil engineering community in Puerto Rico. This paper presents an overview of the rainfall induced landslide problem in PR, a summary of literature published on this subject, and proposes a rainfall intensity landslide threshold based on landslide events data from 1959 to 2003. This threshold can be used as part of a potential landslide warning system.","largerWorkTitle":"Geotechnical Special Publication","conferenceTitle":"Geo-Frontiers 2005","conferenceDate":"24 January 2005 through 26 January 2005","conferenceLocation":"Austin, TX","language":"English","issn":"08950563","usgsCitation":"Pando, M., Ruiz, M., and Larsen, M.C., 2005, Rainfall-induced landslides in Puerto Rico: An overview, in Geotechnical Special Publication, no. 130-142, Austin, TX, 24 January 2005 through 26 January 2005, p. 2911-2925.","startPage":"2911","endPage":"2925","numberOfPages":"15","costCenters":[],"links":[{"id":239882,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"130-142","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9475e4b0c8380cd81407","contributors":{"authors":[{"text":"Pando, M.A.","contributorId":88953,"corporation":false,"usgs":true,"family":"Pando","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":430836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruiz, M.E.","contributorId":52792,"corporation":false,"usgs":true,"family":"Ruiz","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":430834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, M. C.","contributorId":66287,"corporation":false,"usgs":true,"family":"Larsen","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":430835,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}