Onondaga Lake in Onondaga County, New York, has been identified as one of the Nation’s most contaminated lakes as a result of industrial and sanitary-sewer discharges and stormwater nonpoint sources, and has received priority cleanup status under the national Water Resources Development Act of 1990. A basin-scale precipitation-runoff model of the Onondaga Lake basin was identified as a desirable water-resources management tool to better understand the processes responsible for the generation of loads of sediment and nutrients that are transported to Onondaga Lake. During 2003–07, the U.S. Geological Survey (USGS) developed a model based on the computer program, Hydrological Simulation Program–FORTRAN (HSPF), which simulated overland flow to, and streamflow in, the major tributaries of Onondaga Lake, and loads of sediment, phosphorus, and nitrogen transported to the lake. The simulation period extends from October 1997 through September 2003.
The Onondaga Lake basin was divided into 107 subbasins and within these subbasins, the land area was apportioned among 19 pervious and impervious land types on the basis of land use and land cover, hydrologic soil group (HSG), and aspect. Precipitation data were available from three sources as input to the model. The model simulated streamflow, water temperature, concentrations of dissolved oxygen, and concentrations and loads of sediment, orthophosphate, total phosphorus, nitrate, ammonia, and organic nitrogen in the four major tributaries to Onondaga Lake–Onondaga Creek, Harbor Brook, Ley Creek, and Ninemile Creek. Simulated flows were calibrated to data from nine USGS streamflow-monitoring sites; simulated nutrient concentrations and loads were calibrated to data collected at six of the nine streamflow-monitoring sites. Water-quality samples were collected, processed, and analyzed by personnel from the Onondaga County Department of Water Environment Protection. Several time series of flow, and sediment and nutrient loads were generated for known sources of these constituents, including the Tully Valley mudboils (flow and sediment), Otisco Lake (flow and nutrients), the Marcellus wastewater-treatment plant (flow and nutrients), and springs from carbonate bedrock (flow). Runoff from the impervious sewered areas of the City of Syracuse was adjusted for the quantity that was treatable at the county wastewater-treatment plant; the excess flows were routed to nearby streams through combined-sanitary-and-storm-sewer overflows. The mitigative effects that the Onondaga Reservoir and Otisco Lake were presumed to have on loads of sediment and particulate constituents were simulated by adjustment of parameter values that controlled sediment settling rates, deposition, and scour in the reservoir and lake.
Graphical representations of observed and simulated data, and relevant statistics, were compared to assess model performance. Simulated daily and monthly streamflows were rated “very good” (within 10 percent of observed flows) at all calibration sites, except Onondaga Creek at Cardiff, which was rated “fair” (10–15 percent difference). Simulations of monthly average water temperatures were rated “very good” (within 7 percent of observed temperatures) at all sites. No observed data were available by which to directly assess the model’s simulation of suspended sediment loads. Available measured total suspended solids data provided an indirect means of comparison but, not surprisingly, yielded only “fair” to “poor” ratings (greater than 30 percent difference) for simulated monthly sediment loads at half the water-quality calibration sites. Simulations of monthly orthophosphate loads ranged from “very good” (within 15 percent of measured loads) at three sites to “poor” (greater than 35 percent difference) at one site; simulations of ammonia nitrogen loads ranged from “very good” at one site to “fair” (25–35 percent difference) at two sites. Simulations of monthly total phosphorus, nitrate, and organic nitrogen loads were generally rated “very good” at all calibration sites.
Sources of uncertainty in model results were identified, including (1) errors in precipitation data, (2) limitations in model structure, (3) nonuniqueness of values for highly sensitive parameters, (4) errors or bias in data used to calibrate the different components of the model, (5) misclassification of land-use and land-cover data, (6) changes in land use during the simulation period, (7) unidentified sources or sinks of chemical loads and water-quality processes that varied over time, and (8) differences in scale between large calibrated subbasins and small subbasins to which calibrated parameter values were transferred. Uncertainty in simulations of water-quality constituents was compounded by uncertainty in the processes on which the water-quality simulations were based. Therefore, sediment simulations were affected by uncertainty in the simulation of hydrology, and nutrient simulations were affected by uncertainty in both the hydrologic and sediment processes, as well as, in simulations of water temperature and dissolved oxygen concentrations.
The calibrated model can be used to simulate scenarios that represent planned or hypothetical development and implementation of best-management practices in the Onondaga Lake basin and to assess the effects that these changes and practices are likely to have on rural and urban nonpoint sources of pollution to Onondaga Lake. Model results also can be used as input to a hydrodynamic model of Onondaga Lake that is being developed by Onondaga County and to prioritize areas of the basin where mitigative measures to decrease sediment and nutrient loads could provide the greatest benefits to Onondaga Lake.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085013","collaboration":"Prepared in cooperation with the Onondaga Lake Partnership","usgsCitation":"Coon, W.F., and Reddy, J.E., 2008, Hydrologic and water-quality characterization and modeling of the Onondaga Lake Basin, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2008-5013, x, 85 p., https://doi.org/10.3133/sir20085013.","productDescription":"x, 85 p.","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":195297,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5013/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,42.75 ], [ -76.5,43.166666666666664 ], [ -75.91666666666667,43.166666666666664 ], [ -75.91666666666667,42.75 ], [ -76.5,42.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db6118c3","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70261831,"text":"70261831 - 2008 - Nutrient-reserve dynamics during egg production by female Greater Scaup (Aythya marila): Relationships with timing of reproduction","interactions":[],"lastModifiedDate":"2024-12-30T14:22:27.909335","indexId":"70261831","displayToPublicDate":"2008-04-01T15:10:44","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nutrient-reserve dynamics during egg production by female Greater Scaup (Aythya marila): Relationships with timing of reproduction","title":"Nutrient-reserve dynamics during egg production by female Greater Scaup (Aythya marila): Relationships with timing of reproduction","docAbstract":"We studied nutrient-reserve dynamics of female Greater Scaup (Aythya marila) to quantify intraspecific strategies of nutrient acquisition for egg production, particularly in relation to the seasonal timing of reproduction (i.e., date of initiation of rapid follicle growth [RFG]). We collected female Greater Scaup on the Yukon-Kuskokwim Delta, Alaska, from arrival through clutch formation during the 2002 and 2003 breeding seasons, and we subsequently conducted standard proximate body-composition analysis. Endogenous lipid, protein, and mineral reserve levels did not decline during egg production. This result differs from most other nutrient-reserve studies of waterfowl, suggesting that female Greater Scaup rely on exogenous food resources, rather than endogenous nutrient reserves, to meet the energy and nutrient costs of clutch formation. Furthermore, endogenous nutrient-reserve levels did not decline with date of RFG initiation, which indicates that body condition at initiation of egg production was similar across the nesting season. We found evidence of nutrient-reserve thresholds for initiation of RFG, in that lipid, protein, and mineral reserves were smaller in nonreproductive than in reproductive females. In light of recent conservation concerns over declining North American scaup populations, our data contrast with nutrient-reserve dynamics described for Lesser Scaup (A. affinis).
","language":"English","publisher":"Oxford Academic","doi":"10.1525/auk.2008.06151","usgsCitation":"Gorman, K.B., Esler, D., Flint, P.L., and Williams, T., 2008, Nutrient-reserve dynamics during egg production by female Greater Scaup (Aythya marila): Relationships with timing of reproduction: The Auk, v. 125, no. 2, p. 384-394, https://doi.org/10.1525/auk.2008.06151.","productDescription":"11 p.","startPage":"384","endPage":"394","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":489880,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2008.06151","text":"Publisher Index Page"},{"id":465511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorman, Kristen B.","contributorId":42437,"corporation":false,"usgs":true,"family":"Gorman","given":"Kristen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":921982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":921983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":921984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Tony D.","contributorId":89813,"corporation":false,"usgs":true,"family":"Williams","given":"Tony D.","affiliations":[],"preferred":false,"id":921985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236959,"text":"70236959 - 2008 - The 1906 San Francisco earthquake a century later: Introduction to the special section","interactions":[],"lastModifiedDate":"2022-09-22T16:57:13.192052","indexId":"70236959","displayToPublicDate":"2008-04-01T11:53:53","publicationYear":"2008","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":"The 1906 San Francisco earthquake a century later: Introduction to the special section","docAbstract":"The great 1906 San Francisco earthquake is perhaps the landmark event in the history of earthquake science. It began with a foreshock at 5:12 a.m. local time in the morning of 18 April 1906. Some 30 sec later, the main event initiated on the San Andreas fault, just off the San Francisco coast (Lawson, 1908). Within 90 sec, nearly 480 km of the San Andreas fault ruptured (see Fig. 1), extending south to the northern end of the creeping section near San Juan Bautista and north to the terminus of the fault at the triple junction near Cape Mendocino (Song et al., 2008). As it ruptured, it generated powerful seismic waves over the entire rupture length and set in motion a chain of events that led to the destruction of most of San Francisco, the largest city of the western United States at the time. The earthquake occurred in the early days of instrumental seismology, which renders the data difficult to analyze, but our best estimate is that the moment magnitude was 7.9 (Song et al., 2008), about 26 times the size of the 1989 magnitude 6.9 Loma Prieta earthquake as measured by seismic moment (Hanks and Krawinkler, 1991; Song et al., 2008).
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120060401","usgsCitation":"Aagaard, B.T., and Beroza, G.C., 2008, The 1906 San Francisco earthquake a century later: Introduction to the special section: Bulletin of the Seismological Society of America, v. 98, no. 2, p. 817-822, https://doi.org/10.1785/0120060401.","productDescription":"6 p.","startPage":"817","endPage":"822","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.497802734375,\n 35.92464453144099\n ],\n [\n -120.091552734375,\n 36.73888412439431\n ],\n [\n -122.82714843749999,\n 40.9964840143779\n ],\n [\n -124.47509765625,\n 40.85537053192494\n ],\n [\n -124.56298828125001,\n 40.212440718286466\n ],\n [\n -123.277587890625,\n 38.14319750166766\n ],\n [\n -122.00317382812499,\n 36.09349937380574\n ],\n [\n -121.497802734375,\n 35.92464453144099\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":852815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":852816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250562,"text":"70250562 - 2008 - Reovirus associated with mortality of an Upland Sandpiper","interactions":[],"lastModifiedDate":"2023-12-15T16:53:53.368754","indexId":"70250562","displayToPublicDate":"2008-04-01T10:48:25","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3704,"text":"Wader Study Group Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Reovirus associated with mortality of an Upland Sandpiper","docAbstract":"No abstract available.
","language":"English","publisher":"International Wader Study Group","usgsCitation":"Sandercock, B., Casey, A.E., Green, D.E., Ip, S., and Converse, K.A., 2008, Reovirus associated with mortality of an Upland Sandpiper: Wader Study Group Bulletin, v. 115, no. 1, p. 55-56.","productDescription":"2 p.","startPage":"55","endPage":"56","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":423630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423629,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.waderstudygroup.org/article/2680/","linkFileType":{"id":5,"text":"html"}}],"volume":"115","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandercock, Brett K.","contributorId":223926,"corporation":false,"usgs":false,"family":"Sandercock","given":"Brett K.","affiliations":[],"preferred":false,"id":890379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casey, Ashley E.","contributorId":332526,"corporation":false,"usgs":false,"family":"Casey","given":"Ashley","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":890380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, D. Earl david_green@usgs.gov","contributorId":75883,"corporation":false,"usgs":true,"family":"Green","given":"D.","email":"david_green@usgs.gov","middleInitial":"Earl","affiliations":[],"preferred":false,"id":890381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":890382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Converse, Kathryn A. kathy_converse@usgs.gov","contributorId":16802,"corporation":false,"usgs":true,"family":"Converse","given":"Kathryn","email":"kathy_converse@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":890383,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":81052,"text":"sir20075287 - 2008 - Analysis of Dissolved Selenium Loading for Selected Sites in the Lower Gunnison River Basin, Colorado, 1978-2005","interactions":[],"lastModifiedDate":"2012-02-10T00:11:49","indexId":"sir20075287","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","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":"2007-5287","title":"Analysis of Dissolved Selenium Loading for Selected Sites in the Lower Gunnison River Basin, Colorado, 1978-2005","docAbstract":"Elevated selenium concentrations in streams are a water-quality concern in western Colorado. The U.S. Geologic Survey, in cooperation with the Colorado Department of Public Health and Environment, summarized selenium loading in the Lower Gunnison River Basin to support the development of total maximum daily selenium loads at sites that represent the cumulative contribution to U.S. Environmental Protection Agency 303(d) list segments. Analysis of selenium loading included quantifying loads and determining the amount of load that would need to be reduced to bring the site into compliance, referred to as 'the load reduction,' with the State chronic aquatic-life standard for dissolved selenium [85th percentile selenium concentration not to exceed 4.6 ?g/L (micrograms per liter)], referred to as 'the water-quality standard.' Streamflow and selenium concentration data for 54 historical water-quality/water-quantity monitoring sites were compiled from U.S. Geological Survey and Colorado Department of Public Health and Environment data sources. Three methods were used for analysis of selenium concentration data to address the variable data density among sites. Mean annual selenium loads were determined for only 10 of the 54 sites due to data availability limitations. Twenty-two sites had 85th percentile selenium concentrations that exceeded the water-quality standard, 3 sites had 85th percentile selenium concentrations less than the State standard, and 29 sites could not be evaluated with respect to 85th percentile selenium concentration (sample count less than 5). To bring selenium concentrations into compliance with the water-quality standard, more than 80 percent of the mean annual selenium load would need to be reduced at Red Rock Canyon, Dry Cedar Creek, Cedar Creek, Loutzenhizer Arroyo, Sunflower Drain, and Whitewater Creek. More than 50 percent of the mean annual load would need to be reduced at Dry Creek to bring the site into compliance with the water-quality standard. The Uncompahgre River, Gunnison River at Delta, and Gunnison River near Grand Junction would require 69, 34 and 53 percent, respectively, of the mean annual load to be reduced for water years 2001 through 2005 to meet the water-quality standard. Mean annual load reductions can be further reduced by targeting the periods of time when selenium would be removed from streams by remediation. During a previous study of selenium loads in the Lower Gunnison River Basin, mean annual load reductions were estimated at the Gunnison River near Grand Junction for the 1997?2001 study period. Mean annual load reductions estimated for this study period were less than those estimated for the 2001?05 study period, emphasizing the importance of understanding that different study periods can result in different load reduction estimates.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075287","collaboration":"Prepared in cooperation with Colorado Department of Public Health and Environment","usgsCitation":"Thomas, J.C., Leib, K.J., and Mayo, J.W., 2008, Analysis of Dissolved Selenium Loading for Selected Sites in the Lower Gunnison River Basin, Colorado, 1978-2005: U.S. Geological Survey Scientific Investigations Report 2007-5287, vi, 26 p., https://doi.org/10.3133/sir20075287.","productDescription":"vi, 26 p.","temporalStart":"1978-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5287.jpg"},{"id":10939,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5287/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37.916666666666664 ], [ -109,39.083333333333336 ], [ -107,39.083333333333336 ], [ -107,37.916666666666664 ], [ -109,37.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680b6e","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":294226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayo, John W. jwmayo@usgs.gov","contributorId":993,"corporation":false,"usgs":true,"family":"Mayo","given":"John","email":"jwmayo@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294227,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157050,"text":"70157050 - 2008 - Landsat still contributing to environmental research","interactions":[],"lastModifiedDate":"2015-09-03T10:58:37","indexId":"70157050","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Landsat still contributing to environmental research","docAbstract":"Landsat data have enabled continuous global monitoring of both human-caused and other land cover disturbances since 1972. Recently degraded performance and intermittent service of the Landsat 7 and Landsat 5 sensors, respectively, have raised concerns about the condition of global Earth observation programs. However, Landsat imagery is still useful for landscape change detection and this capability should continue into the foreseeable future.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2008.01.002","usgsCitation":"Loveland, T., Cochrane, M.A., and Henebry, G.M., 2008, Landsat still contributing to environmental research: Trends in Ecology and Evolution, v. 23, no. 4, p. 182-183, https://doi.org/10.1016/j.tree.2008.01.002.","productDescription":"2 p.","startPage":"182","endPage":"183","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e96f3ae4b0dacf699e7888","contributors":{"authors":[{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":571347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochrane, Mark A.","contributorId":20884,"corporation":false,"usgs":false,"family":"Cochrane","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":571348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henebry, Geoffrey M.","contributorId":124528,"corporation":false,"usgs":false,"family":"Henebry","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":571349,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192789,"text":"70192789 - 2008 - Key water issues now facing our nation","interactions":[],"lastModifiedDate":"2017-11-29T13:45:15","indexId":"70192789","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5572,"text":"AWRA Water Blog","active":true,"publicationSubtype":{"id":10}},"title":"Key water issues now facing our nation","docAbstract":"Challenges to sustaining sufficient and high-quality water for human consumption, industry, farms, energy production, and ecosystem services continue to intensify in many parts of the Nation. We face four key water issues that call for support from the science and engineering communities.
","language":"English","publisher":"AWRA","usgsCitation":"Hirsch, R.M., Miller, T.L., Hamilton, P.A., and Gilliom, R.J., 2008, Key water issues now facing our nation: AWRA Water Blog.","ipdsId":"IP-005542","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":349545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349544,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://awramedia.org/mainblog/2008/04/23/key-water-issues-now-facing-our-nation/"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610f8de4b06e28e9c257d9","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":716954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Timothy L.","contributorId":9263,"corporation":false,"usgs":true,"family":"Miller","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamilton, Pixie A. pahamilt@usgs.gov","contributorId":1068,"corporation":false,"usgs":true,"family":"Hamilton","given":"Pixie","email":"pahamilt@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":716952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":716953,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176274,"text":"70176274 - 2008 - The myth of plant species saturation","interactions":[],"lastModifiedDate":"2016-09-06T16:18:45","indexId":"70176274","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","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":"The myth of plant species saturation","docAbstract":"Plant species assemblages, communities or regional floras might be termed ‘saturated’ when additional immigrant species are unsuccessful at establishing due to competitive exclusion or other inter-specific interactions, or when the immigration of species is off-set by extirpation of species. This is clearly not the case for state, regional or national floras in the USA where colonization (i.e. invasion by exotic species) exceeds extirpation by roughly a 24 to 1 margin. We report an alarming temporal trend in plant invasions in the Pacific Northwest over the past 100 years whereby counties highest in native species richness appear increasingly invaded over time. Despite the possibility of some increased awareness and reporting of native and exotic plant species in recent decades, historical records show a significant, consistent long-term increase in exotic species (number and frequency) at county, state and regional scales in the Pacific Northwest. Here, as in other regions of the country, colonization rates by exotic species are high and extirpation rates are negligible. The rates of species accumulation in space in multi-scale vegetation plots may provide some clues to the mechanisms of the invasion process from local to national scales.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1461-0248.2008.01153.x","usgsCitation":"Stohlgren, T.J., Barnett, D., Jarnevich, C.S., Flather, C., and Kartesz, J., 2008, The myth of plant species saturation: Ecology Letters, v. 11, no. 4, p. 313-322, https://doi.org/10.1111/j.1461-0248.2008.01153.x.","productDescription":"10 p.","startPage":"313","endPage":"322","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":328289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-01-31","publicationStatus":"PW","scienceBaseUri":"57cfe8bfe4b04836416a0e4a","contributors":{"authors":[{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnett, David T.","contributorId":86234,"corporation":false,"usgs":true,"family":"Barnett","given":"David T.","affiliations":[],"preferred":false,"id":648163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flather, Curtis","contributorId":104779,"corporation":false,"usgs":true,"family":"Flather","given":"Curtis","affiliations":[],"preferred":false,"id":648165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kartesz, John","contributorId":11132,"corporation":false,"usgs":true,"family":"Kartesz","given":"John","affiliations":[],"preferred":false,"id":648166,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190546,"text":"70190546 - 2008 - Understanding and predicting ecological dynamics: Are major surprises inevitable","interactions":[],"lastModifiedDate":"2017-11-17T16:44:51","indexId":"70190546","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and predicting ecological dynamics: Are major surprises inevitable","docAbstract":"Ecological surprises, substantial and unanticipated changes in the abundance of one or more species that result from previously unsuspected processes, are a common outcome of both experiments and observations in community and population ecology. Here, we give examples of such surprises along with the results of a survey of well-established field ecologists, most of whom have encountered one or more surprises over the course of their careers. Truly surprising results are common enough to require their consideration in any reasonable effort to characterize nature and manage natural resources. We classify surprises as dynamic-, pattern-, or intervention-based, and we speculate on the common processes that cause ecological systems to so often surprise us. A long-standing and still growing concern in the ecological literature is how best to make predictions of future population and community dynamics. Although most work on this subject involves statistical aspects of data analysis and modeling, the frequency and nature of ecological surprises imply that uncertainty cannot be easily tamed through improved analytical procedures, and that prudent management of both exploited and conserved communities will require precautionary and adaptive management approaches.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/07-0965.1","usgsCitation":"Doak, D.F., Estes, J.A., Halpern, B.S., Jacob, U., Lindberg, D.R., Lovvorn, J.R., Monson, D., Tinker, M.T., Williams, T.M., Wootton, J.T., Carroll, I., Emmerson, M., Micheli, F., and Novak, M., 2008, Understanding and predicting ecological dynamics: Are major surprises inevitable: Ecology, v. 89, no. 4, p. 952-961, https://doi.org/10.1890/07-0965.1.","productDescription":"10 p.","startPage":"952","endPage":"961","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":345520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b10932e4b020cdf7d8d9d6","contributors":{"authors":[{"text":"Doak, Daniel F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":709710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Estes, James A. jim_estes@usgs.gov","contributorId":53325,"corporation":false,"usgs":true,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":709711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halpern, Benjamin S.","contributorId":86649,"corporation":false,"usgs":true,"family":"Halpern","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":709712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacob, Ute","contributorId":172063,"corporation":false,"usgs":false,"family":"Jacob","given":"Ute","email":"","affiliations":[{"id":26973,"text":"University of Hamburg","active":true,"usgs":false}],"preferred":false,"id":709713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindberg, D. 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","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","usgsCitation":"Jankowski, M., Schuler, K., and Bradsby, J., 2008, National Wildlife Health Center's quarterly wildlife mortality report: Wildlife Disease Association Newsletter, no. April 2008, p. 9-15.","productDescription":"7 p.","startPage":"9","endPage":"15","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":264861,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive"},{"id":264862,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","issue":"April 2008","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e08cd9e4b0fec3206ee2b3","contributors":{"authors":[{"text":"Jankowski, Mark","contributorId":44111,"corporation":false,"usgs":true,"family":"Jankowski","given":"Mark","affiliations":[],"preferred":false,"id":470887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuler, Krysten","contributorId":53735,"corporation":false,"usgs":true,"family":"Schuler","given":"Krysten","affiliations":[],"preferred":false,"id":470888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradsby, Jennifer","contributorId":33664,"corporation":false,"usgs":true,"family":"Bradsby","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":470886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70031781,"text":"70031781 - 2008 - Climate change and coastal vulnerability assessment: Scenarios for integrated assessment","interactions":[],"lastModifiedDate":"2023-02-23T15:01:59.862942","indexId":"70031781","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5318,"text":"Sustainability Science","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and coastal vulnerability assessment: Scenarios for integrated assessment","docAbstract":"Coastal vulnerability assessments still focus mainly on sea-level rise, with less attention paid to other dimensions of climate change. The influence of non-climatic environmental change or socio-economic change is even less considered, and is often completely ignored. Given that the profound coastal changes of the twentieth century are likely to continue through the twenty-first century, this is a major omission, which may overstate the importance of climate change, and may also miss significant interactions of climate change with other non-climate drivers. To better support climate and coastal management policy development, more integrated assessments of climatic change in coastal areas are required, including the significant non-climatic changes. This paper explores the development of relevant climate and non-climate drivers, with an emphasis on the non-climate drivers. While these issues are applicable within any scenario framework, our ideas are illustrated using the widely used SRES scenarios, with both impacts and adaptation being considered. Importantly, scenario development is a process, and the assumptions that are made about future conditions concerning the coast need to be explicit, transparent and open to scientific debate concerning their realism and likelihood. These issues are generic across other sectors.
","language":"English","publisher":"Springer","doi":"10.1007/s11625-008-0050-4","usgsCitation":"Nicholls, R., Wong, P., Burkett, V., Woodroffe, C., and Hay, J., 2008, Climate change and coastal vulnerability assessment: Scenarios for integrated assessment: Sustainability Science, v. 3, no. 1, p. 89-102, https://doi.org/10.1007/s11625-008-0050-4.","productDescription":"14 p.","startPage":"89","endPage":"102","numberOfPages":"14","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":495014,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://scholarbank.nus.edu.sg/handle/10635/19483","text":"External Repository"},{"id":239842,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-04-01","publicationStatus":"PW","scienceBaseUri":"5059f64ce4b0c8380cd4c685","contributors":{"authors":[{"text":"Nicholls, Robert J.","contributorId":94912,"corporation":false,"usgs":true,"family":"Nicholls","given":"Robert J.","affiliations":[],"preferred":false,"id":433094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wong, Poh Poh","contributorId":101508,"corporation":false,"usgs":true,"family":"Wong","given":"Poh Poh","affiliations":[],"preferred":false,"id":433092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkett, Virginia 0000-0003-4746-2862 virginia_burkett@usgs.gov","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":2867,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"virginia_burkett@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":433093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodroffe, Colin D.","contributorId":239894,"corporation":false,"usgs":false,"family":"Woodroffe","given":"Colin D.","affiliations":[{"id":48033,"text":"School of Earth Atmospheric and Life Sciences, University of Wollongong, Wollongong, New South Wales 2522, Australia","active":true,"usgs":false}],"preferred":false,"id":433096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hay, John","contributorId":98167,"corporation":false,"usgs":true,"family":"Hay","given":"John","email":"","affiliations":[],"preferred":false,"id":433095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156520,"text":"70156520 - 2008 - Soil erosion: data say C sink","interactions":[],"lastModifiedDate":"2015-08-24T11:56:23","indexId":"70156520","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Soil erosion: data say C sink","docAbstract":"No abstract available.
","language":"English","publisher":"AAS","doi":"10.1126/science.320.5873.178","usgsCitation":"Harden, J., Berhe, A., Torn, M., Harte, J., Liu, S., and Stallard, R.F., 2008, Soil erosion: data say C sink: Science, v. 320, no. 5873, p. 178-179, https://doi.org/10.1126/science.320.5873.178.","productDescription":"2 p.","startPage":"178","endPage":"179","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"320","issue":"5873","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dc4032e4b0518e354d1126","contributors":{"authors":[{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":569374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berhe, A.A.","contributorId":23365,"corporation":false,"usgs":true,"family":"Berhe","given":"A.A.","affiliations":[],"preferred":false,"id":569375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torn, M.S.","contributorId":35051,"corporation":false,"usgs":true,"family":"Torn","given":"M.S.","affiliations":[],"preferred":false,"id":569376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harte, J.J.","contributorId":88749,"corporation":false,"usgs":true,"family":"Harte","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":569377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":569378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":569379,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179548,"text":"70179548 - 2008 - A multiscale analysis of nest predation on Least Bell's Vireos (Vireo bellii pusillus)","interactions":[],"lastModifiedDate":"2017-05-07T14:39:35","indexId":"70179548","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"A multiscale analysis of nest predation on Least Bell's Vireos (Vireo bellii pusillus)","docAbstract":"We examined variables influencing nest predation on the endangered Least Bell's Vireo (Vireo bellii pusillus) at three spatial scales to determine what nest-site, habitat, or landscape characteristics affect the likelihood of nest predation and to determine the spatial distribution of predation risk and the variables influencing it. We used MARK to calculate daily survival rates of Least Bell's Vireo nests and applied an information-theoretic approach to evaluate support for logistic regression models of the effect of habitat variables on predation risk. Analysis of data for 195 nests collected during 1999 and 2000 at the San Luis Rey River and Pilgrim Creek in southern California revealed no effect of fine-scale factors, including nest height, supporting plant species, and three measures of nest concealment, on the likelihood of predation. At the intermediate scale, distances to the riparian-habitat edge and to internal gaps in the canopy were unrelated to nest survival. Surrounding land-use type was a poor predictor of predation risk, with the exception of proximity to golf course–park habitat and wetland. Nests within 400 m of golf course–park were only 20% as likely to avoid predation as nests >400 m from this habitat, and nests near wetland were more than twice as likely to survive as nests distant from wetland. Spatially, predation appeared to be random throughout the site, with localized clustering evident in the vicinity of golf course–park and wetland. Our results suggest that the landscape may be the most appropriate scale at which to manage nest predation in this system.
","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2008.06038","usgsCitation":"Kus, B., Peterson, B.L., and Deutschman, D.H., 2008, A multiscale analysis of nest predation on Least Bell's Vireos (Vireo bellii pusillus): The Auk, v. 125, no. 2, p. 277-284, https://doi.org/10.1525/auk.2008.06038.","productDescription":"8 p.","startPage":"277","endPage":"284","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":476615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2008.06038","text":"Publisher Index Page"},{"id":332870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586e182fe4b0f5ce109fcb1b","contributors":{"authors":[{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":657649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Bonnie L.","contributorId":174932,"corporation":false,"usgs":false,"family":"Peterson","given":"Bonnie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":657650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deutschman, Douglas H.","contributorId":174936,"corporation":false,"usgs":false,"family":"Deutschman","given":"Douglas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":657651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179391,"text":"70179391 - 2008 - White sturgeon mitigation and restoration in the Columbia and Snake rivers upstream from Bonneville Dam, Annual Progress Report April 2006 - March 2007. Report C","interactions":[],"lastModifiedDate":"2016-12-30T11:05:32","indexId":"70179391","displayToPublicDate":"2008-04-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"White sturgeon mitigation and restoration in the Columbia and Snake rivers upstream from Bonneville Dam, Annual Progress Report April 2006 - March 2007. Report C","docAbstract":"Describe reproduction and early life history characteristics of white sturgeon populations in the Columbia River between Bonneville and Priest Rapids dams. Define habitat requirements for spawning and rearing white sturgeon and quantify the extent of habitat available in the Columbia River between Bonneville and Priest Rapids dams. Progress updates on young-of-the-year recruitment in Bonneville Reservoir and indices of white sturgeon spawning habitat for 2006 for McNary, John Day, The Dalles, and Bonneville dam tailrace spawning areas.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"White Sturgeon mitigation and restoration in the Columbia and Snake Rivers upstream from Bonneville dam","language":"English","publisher":"Bonneville Power Administration ","usgsCitation":"Parsley, M., and Kofoot, P., 2008, White sturgeon mitigation and restoration in the Columbia and Snake rivers upstream from Bonneville Dam, Annual Progress Report April 2006 - March 2007. Report C, 13 p. .","productDescription":"13 p. ","startPage":"65","endPage":"77","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Bonneville Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.0038604736328,\n 45.637087095718734\n ],\n [\n -121.91459655761719,\n 45.67452261945114\n ],\n [\n -121.86790466308594,\n 45.664926152966025\n ],\n [\n -122.00523376464842,\n 45.60395019421033\n ],\n [\n -122.03956604003906,\n 45.61884021048937\n ],\n [\n -122.0038604736328,\n 45.637087095718734\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586781fae4b0cd2dabe7c725","contributors":{"authors":[{"text":"Parsley, M.J.","contributorId":59542,"corporation":false,"usgs":true,"family":"Parsley","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":657056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kofoot, P.","contributorId":177790,"corporation":false,"usgs":false,"family":"Kofoot","given":"P.","email":"","affiliations":[],"preferred":false,"id":657057,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81051,"text":"ofr20081106 - 2008 - Development of the water-analysis screening tool used in the initial screening for the Pennsylvania State Water Plan update of 2008","interactions":[],"lastModifiedDate":"2017-06-09T15:03:00","indexId":"ofr20081106","displayToPublicDate":"2008-03-28T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1106","title":"Development of the water-analysis screening tool used in the initial screening for the Pennsylvania State Water Plan update of 2008","docAbstract":"The Water Resources Planning Act, Act 220 of 2002, requires the Pennsylvania Department of Environmental Protection (PaDEP) to update the State Water Plan by 2008. As part of this update, a water-analysis screening tool (WAST) was developed by the U.S. Geological Survey, in cooperation with the PaDEP, to provide assistance to the state in the identification of critical water-planning areas. The WAST has two primary inputs: net withdrawals and the initial screening criteria. A comprehensive water-use database that includes data from registration, estimation, discharge monitoring reports, mining data, and other sources was developed as input into the WAST. Water use in the following categories was estimated using water-use factors: residential, industrial, commercial, agriculture, and golf courses. A percentage of the 7-day, 10-year low flow is used for the initial screenings using the WAST to identify potential critical water-planning areas. This quantity, or initial screening criteria, is 50 percent of the 7-day, 10-year low flow for most streams. Using a basic water-balance equation, a screening indicator is calculated that indicates the potential influences of net withdrawals on aquatic-resource uses for watersheds generally larger than 15 square miles. Points representing outlets of these watersheds are colored-coded within the WAST to show the screening criteria for each watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081106","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Stuckey, M.H., 2008, Development of the water-analysis screening tool used in the initial screening for the Pennsylvania State Water Plan update of 2008: U.S. Geological Survey Open-File Report 2008-1106, iv, 9 p., https://doi.org/10.3133/ofr20081106.","productDescription":"iv, 9 p.","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":195087,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10914,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1106/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,39.5 ], [ -81,42.5 ], [ -74.5,42.5 ], [ -74.5,39.5 ], [ -81,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65ddda","contributors":{"authors":[{"text":"Stuckey, Marla H. 0000-0002-5211-8444 mstuckey@usgs.gov","orcid":"https://orcid.org/0000-0002-5211-8444","contributorId":1734,"corporation":false,"usgs":true,"family":"Stuckey","given":"Marla","email":"mstuckey@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294225,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":81048,"text":"ofr20071409 - 2008 - Ground-water-flow modeling of a freshwater and brine-filled aquifer in the Onondaga Trough, Onondaga County, New York: A summary of findings","interactions":[],"lastModifiedDate":"2022-06-28T21:06:17.823339","indexId":"ofr20071409","displayToPublicDate":"2008-03-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1409","title":"Ground-water-flow modeling of a freshwater and brine-filled aquifer in the Onondaga Trough, Onondaga County, New York: A summary of findings","docAbstract":"In 2007, the U.S. Geological Survey (USGS) completed a hydrogeologic study that included the development of a groundwater-flow model of the glacial-drift aquifer in the Onondaga Trough near Syracuse, N.Y., which extends from the Valley Heads Moraine near Tully, N.Y., to Onondaga Lake (fig. 1). Glacial sediments within the Onondaga Trough contain freshwater, saline water, and brine, which has historically supported several chemical industries in Syracuse. The ground-water-flow model was developed as a means to assist the members of the Onondaga Lake Partnership (local, State, and Federal governmental agencies) to assess remediation plans for Onondaga Lake and the Onondaga Creek watershed. Prior to this study, in the late 1990s, very little information was known about the physical nature of the valley-fill aquifer or the quality of water within it. Acquisition of this information would help local agencies understand the interactions of fresh and saline water within the aquifer and Onondaga Lake, and would facilitate the design of proposed and ongoing remediation work in and near the lake.\r\n\r\nThe USGS study characterized the geology and geochemistry of the aquifer system, estimated the rate and direction of ground-water movement, and estimated mass loadings of chloride to Onondaga Lake and its tributaries from natural and anthropogenic sources. The study required analysis of existing hydrogeologic data and drilling of new test wells to collect additional hydrogeologic data to supplement this database. A three-dimensional geologic model of the unconsolidated deposits that fill the Onondaga Trough was developed from this information. Water-quality samples were collected, and hydraulic head (water-level) measurements were made in the test wells. The water samples were analyzed for a variety of chemical constituents to determine the composition and age of saline waters within the aquifer. The geologic model, together with the water-quality and hydraulic-head data, supported the development of several variable-density flow models of the aquifer system. The complete results of this study are summarized in Yager and others (2007a), which discusses the present location of the brine pool, potential sources of the brine, and the effects of the brine pool on ground-water flow near Onondaga Lake.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071409","collaboration":"Prepared in cooperation with the Onondaga Lake Partnership and the Onondaga Environmental Institute","usgsCitation":"Kappel, W.M., and Yager, R.M., 2008, Ground-water-flow modeling of a freshwater and brine-filled aquifer in the Onondaga Trough, Onondaga County, New York: A summary of findings: U.S. Geological Survey Open-File Report 2007-1409, 12 p., https://doi.org/10.3133/ofr20071409.","productDescription":"12 p.","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":190783,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402648,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83436.htm","linkFileType":{"id":5,"text":"html"}},{"id":10911,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1409/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Onondaga County","otherGeospatial":"Onondaga Trough","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.37283325195312,\n 42.83569550641452\n ],\n [\n -76.17507934570312,\n 42.83569550641452\n ],\n [\n -76.17507934570312,\n 43.201171681272456\n ],\n [\n -76.37283325195312,\n 43.201171681272456\n ],\n [\n -76.37283325195312,\n 42.83569550641452\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d4e8","contributors":{"authors":[{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":294217,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81049,"text":"sir20085014 - 2008 - Estimation of Constituent Concentrations, Loads, and Yields in Streams of Johnson County, Northeast Kansas, Using Continuous Water-Quality Monitoring and Regression Models, October 2002 through December 2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:22","indexId":"sir20085014","displayToPublicDate":"2008-03-27T00:00:00","publicationYear":"2008","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":"2008-5014","title":"Estimation of Constituent Concentrations, Loads, and Yields in Streams of Johnson County, Northeast Kansas, Using Continuous Water-Quality Monitoring and Regression Models, October 2002 through December 2006","docAbstract":"Johnson County is one of the most rapidly developing counties in Kansas. Population growth and expanding urban land use affect the quality of county streams, which are important for human and environmental health, water supply, recreation, and aesthetic value. This report describes estimates of streamflow and constituent concentrations, loads, and yields in relation to watershed characteristics in five Johnson County streams using continuous in-stream sensor measurements. Specific conductance, pH, water temperature, turbidity, and dissolved oxygen were monitored in five watersheds from October 2002 through December 2006. These continuous data were used in conjunction with discrete water samples to develop regression models for continuously estimating concentrations of other constituents. Continuous regression-based concentrations were estimated for suspended sediment, total suspended solids, dissolved solids and selected major ions, nutrients (nitrogen and phosphorus species), and fecal-indicator bacteria. Continuous daily, monthly, seasonal, and annual loads were calculated from concentration estimates and streamflow. The data are used to describe differences in concentrations, loads, and yields and to explain these differences relative to watershed characteristics.\r\n\r\nWater quality at the five monitoring sites varied according to hydrologic conditions; contributing drainage area; land use (including degree of urbanization); relative contributions from point and nonpoint constituent sources; and human activity within each watershed. Dissolved oxygen (DO) concentrations were less than the Kansas aquatic-life-support criterion of 5.0 mg/L less than 10 percent of the time at all sites except Indian Creek, which had DO concentrations less than the criterion about 15 percent of the time. Concentrations of suspended sediment, chloride (winter only), indicator bacteria, and pesticides were substantially larger during periods of increased streamflow. Suspended-sediment concentration was nearly always largest at the Mill Creek site. The Mill Creek watershed is undergoing rapid development that likely contributed to larger sustained sediment concentrations. During most of the time, the smallest sediment concentrations occurred at the Indian Creek site, the most urban of the monitored sites, likely because most of the streamflow originates from wastewater-treatment facilities located just upstream from the monitoring site. However, estimated annual suspended-sediment load and yield were largest annually at the Indian Creek site because of substantial contributions during storm runoff. At least 90 percent of the total annual sediment load in 2005?06 at all five monitoring sites occurred in less than 2 percent of the time, generally associated with large storm runoff. About 50 percent of the 2005 sediment load at the Blue River site occurred during a single 3-day storm, the equivalent of less than 1 percent of the time. Suspended-sediment concentration is statistically related to other water-quality constituents, and these relations have potential implications for implementation of best management practices because, if sediment concentrations are decreased, concentrations of sediment-associated constituents such as suspended solids, some nutrients, and bacteria will also likely decrease. Chloride concentrations were largest at the Indian and Mill Creek sites, the two most urban stream sites which also are most affected by road-salt runoff and wastewater-treatment-facility discharges. Two chloride runoff occurrences in January?February 2005 accounted for 19 percent of the total chloride load in Indian Creek in 2005. Escherichia coli density at the Indian Creek site was nearly always largest of the five sites with a median density more than double that of any other site and 15 times the density at the Blue River site which is primarily nonurban. More than 97 percent of the fecal coliform bacteria load at the Indian Creek site and near the B","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085014","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Rasmussen, T.J., Lee, C., and Ziegler, A., 2008, Estimation of Constituent Concentrations, Loads, and Yields in Streams of Johnson County, Northeast Kansas, Using Continuous Water-Quality Monitoring and Regression Models, October 2002 through December 2006: U.S. Geological Survey Scientific Investigations Report 2008-5014, viii, 104 p., https://doi.org/10.3133/sir20085014.","productDescription":"viii, 104 p.","temporalStart":"2002-10-01","temporalEnd":"2006-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":190727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10912,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5014/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.08333333333333,38.666666666666664 ], [ -95.08333333333333,39.083333333333336 ], [ -94.58333333333333,39.083333333333336 ], [ -94.58333333333333,38.666666666666664 ], [ -95.08333333333333,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbef1","contributors":{"authors":[{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":294220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":294221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":294219,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":81050,"text":"fs20083007 - 2008 - Continuous water-quality monitoring of streams in Johnson County, Kansas 2002-06","interactions":[],"lastModifiedDate":"2022-07-15T18:35:01.576001","indexId":"fs20083007","displayToPublicDate":"2008-03-27T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3007","title":"Continuous water-quality monitoring of streams in Johnson County, Kansas 2002-06","docAbstract":"Water quality in Johnson County, Kansas was characterized on the basis of continuous, in-stream monitoring. The results summarized in this fact sheet may be used to better understand concentration and load variability during changing seasonal and streamflow conditions and to assess water-quality conditions relative to water-quality standards and management goals. The baseline information also will be useful for evaluating future changes in land use and effectiveness of implemented best management practices.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20083007","usgsCitation":"Rasmussen, T.J., Lee, C., and Ziegler, A., 2008, Continuous water-quality monitoring of streams in Johnson County, Kansas 2002-06: U.S. Geological Survey Fact Sheet 2008-3007, 4 p., https://doi.org/10.3133/fs20083007.","productDescription":"4 p.","temporalStart":"2002-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":126302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3007.jpg"},{"id":403851,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83438.htm","linkFileType":{"id":5,"text":"html"}},{"id":10913,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3007/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-94.6075,39.0437],[-94.6075,39.0399],[-94.6082,38.8463],[-94.6084,38.8341],[-94.6102,38.7376],[-95.0572,38.7395],[-95.0558,38.9816],[-95.0477,38.9778],[-95.0383,38.9771],[-95.0312,38.9773],[-95.0292,38.9813],[-95.0271,38.9881],[-95.0249,38.9962],[-95.0189,38.9987],[-95.0135,38.9991],[-95.0077,38.998],[-94.9946,38.9976],[-94.9899,38.997],[-94.9841,38.995],[-94.9789,38.9926],[-94.9755,38.9885],[-94.9704,38.9851],[-94.9645,38.9832],[-94.9575,38.982],[-94.9527,38.9828],[-94.9479,38.9845],[-94.9448,38.9871],[-94.9423,38.9898],[-94.9386,38.9933],[-94.9367,38.9964],[-94.9335,38.9995],[-94.9264,38.9998],[-94.9217,38.9996],[-94.9176,38.9977],[-94.9209,38.9919],[-94.923,38.9856],[-94.9207,38.9837],[-94.9164,38.9859],[-94.9115,38.9889],[-94.9078,38.9924],[-94.9014,39.0022],[-94.8989,39.0053],[-94.8945,39.0102],[-94.8919,39.0155],[-94.891,39.021],[-94.8875,39.0313],[-94.8824,39.0379],[-94.8768,39.0441],[-94.8681,39.052],[-94.8631,39.0564],[-94.8488,39.0578],[-94.8318,39.0546],[-94.8131,39.0486],[-94.8038,39.0456],[-94.7197,39.0435],[-94.6693,39.0433],[-94.6075,39.0437]]]},\"properties\":{\"name\":\"Johnson\",\"state\":\"KS\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db69671f","contributors":{"authors":[{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":294223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":294224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":294222,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157101,"text":"70157101 - 2008 - Mid-Cenozoic tectonic and paleoenvironmental setting of the central Arctic Ocean","interactions":[],"lastModifiedDate":"2015-09-09T12:07:36","indexId":"70157101","displayToPublicDate":"2008-03-26T13:15:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Mid-Cenozoic tectonic and paleoenvironmental setting of the central Arctic Ocean","docAbstract":"Drilling results from the Integrated Ocean Drilling Program's Arctic Coring Expedition (ACEX) to the Lomonosov Ridge (LR) document a 26 million year hiatus that separates freshwater-influenced biosilica-rich deposits of the middle Eocene from fossil-poor glaciomarine silty clays of the early Miocene. Detailed micropaleontological and sedimentological data from sediments surrounding this mid-Cenozoic hiatus describe a shallow water setting for the LR, a finding that conflicts with predrilling seismic predictions and an initial postcruise assessment of its subsidence history that assumed smooth thermally controlled subsidence following rifting. A review of Cenozoic tectonic processes affecting the geodynamic evolution of the central Arctic Ocean highlights a prolonged phase of basin-wide compression that ended in the early Miocene. The coincidence in timing between the end of compression and the start of rapid early Miocene subsidence provides a compelling link between these observations and similarly accounts for the shallow water setting that persisted more than 30 million years after rifting ended. However, for much of the late Paleogene and early Neogene, tectonic reconstructions of the Arctic Ocean describe a landlocked basin, adding additional uncertainty to reconstructions of paleodepth estimates as the magnitude of regional sea level variations remains unknown.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2007PA001559","usgsCitation":"O’Regan, M., Moran, K., Backman, J., Jakobsson, M., Sangiorgi, F., Brinkhuis, H., Pockalny, R., Skelton, A., Stickley, C.E., Koc, N., Brumsack, H., and Willard, D.A., 2008, Mid-Cenozoic tectonic and paleoenvironmental setting of the central Arctic Ocean: Paleoceanography, v. 23, no. 1, p. 1-15, https://doi.org/10.1029/2007PA001559.","productDescription":"15 p.","startPage":"1","endPage":"15","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008282","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":476616,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orca.cardiff.ac.uk/id/eprint/7534/1/O%27Regan%202008.pdf","text":"External Repository"},{"id":308020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2008-03-26","publicationStatus":"PW","scienceBaseUri":"55f15831e4b0dacf699eb96b","contributors":{"authors":[{"text":"O’Regan, M.","contributorId":38361,"corporation":false,"usgs":true,"family":"O’Regan","given":"M.","email":"","affiliations":[],"preferred":false,"id":571650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moran, K.","contributorId":96479,"corporation":false,"usgs":true,"family":"Moran","given":"K.","email":"","affiliations":[],"preferred":false,"id":571649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Backman, J.","contributorId":49596,"corporation":false,"usgs":true,"family":"Backman","given":"J.","email":"","affiliations":[],"preferred":false,"id":571647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jakobsson, M.","contributorId":86970,"corporation":false,"usgs":true,"family":"Jakobsson","given":"M.","email":"","affiliations":[],"preferred":false,"id":571648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sangiorgi, F.","contributorId":15828,"corporation":false,"usgs":true,"family":"Sangiorgi","given":"F.","affiliations":[],"preferred":false,"id":571651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brinkhuis, Henk","contributorId":97614,"corporation":false,"usgs":true,"family":"Brinkhuis","given":"Henk","email":"","affiliations":[],"preferred":false,"id":571827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pockalny, Rob","contributorId":147509,"corporation":false,"usgs":false,"family":"Pockalny","given":"Rob","affiliations":[],"preferred":false,"id":571828,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Skelton, Alasdair","contributorId":147511,"corporation":false,"usgs":false,"family":"Skelton","given":"Alasdair","email":"","affiliations":[],"preferred":false,"id":571829,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stickley, Catherine E.","contributorId":40715,"corporation":false,"usgs":true,"family":"Stickley","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":571830,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koc, N.","contributorId":39190,"corporation":false,"usgs":true,"family":"Koc","given":"N.","affiliations":[],"preferred":false,"id":571831,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brumsack, Hans-Juergen","contributorId":61141,"corporation":false,"usgs":true,"family":"Brumsack","given":"Hans-Juergen","email":"","affiliations":[],"preferred":false,"id":571832,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":571646,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70200419,"text":"70200419 - 2008 - Reproductive disruption in fish downstream from an estrogenic wastewater effluent","interactions":[],"lastModifiedDate":"2021-05-28T15:20:43.923907","indexId":"70200419","displayToPublicDate":"2008-03-25T07:41:05","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive disruption in fish downstream from an estrogenic wastewater effluent","docAbstract":"To assess the impact of an estrogenic wastewater treatment plant (WWTP) effluent on fish reproduction, white suckers (Catostomus commersoni) were collected from immediately upstream and downstream (effluent site) of the city of Boulder, CO, WWTP outfall. Gonadal intersex, altered sex ratios, reduced gonad size, disrupted ovarian and testicular histopathology, and vitellogenin induction consistent with exposure to estrogenic wastewater contaminants were identified in white suckers downstream from the WWTP outfall and not at the upstream site. The sex ratio was female-biased at the effluent site in both the fall of 2003 and the spring of 2004; the frequency of males at the effluent site (17–21%) was half that of the upstream site (36–46%). Intersex white suckers comprised 18–22% of the population at the effluent site. Intersex fish were not found at the upstream site. Chemical analyses determined that the WWTP effluent contained a complex mixture of endocrine-active chemicals, including 17β-estradiol (E2) 17α-ethynylestradiol, alkylphenols, and bisphenol A resulting in an estimated total estrogen equivalence of up to 31 ng E2 L−1. These results indicate that the reproductive potential of native fishes may be compromised in wastewater-dominated streams.
A geophysical characterization of a portion of American River levees in Sacramento, California was conducted in May, 2007. Targets of interest included the distribution and thickness of sand lenses that underlie the levees and the depth to a clay unit that underlies the sand. The concern is that the erosion of these sand lenses can lead to levee failure in highly populated areas of Sacramento. DC resistivity (Geometric’s OhmMapper and Advanced Geosciences, Inc.’s SuperSting R8 systems) and electromagnetic surveys (Geophex’s GEM-2) were conducted over a 6 mile length of the levee on roads and bicycle and horse trails. 2-D inversions were conducted on all the geophysical data.
The OhmMapper and SuperSting surveys produced consistent inversion results that delineated potential sand and clay units. GEM-2 apparent resistivity data were consistent with the DC inversion results. However, the GEM-2 data could not be inverted due to low electromagnetic response levels, high ambient electromagnetic noise, and large system drifts. While this would not be as large a problem in conductive terrains, it is a problem for a small induction number electromagnetic profiling system such as the GEM-2 in a resistive terrain (the sand lenses).
An integrated interpretation of the geophysical data acquired in this investigation is presented in this report that includes delineation of those areas consisting of predominantly sand and those areas consisting predominantly of clay. In general, along most of this part of the American River levee system, sand lenses are located closest to the river and clay deposits are located further away from the river. The interpreted thicknesses of the detected sand deposits are variable and range from 10 ft up to 60 ft.
Thus, despite issues with the GEM-2 inversion, this geophysical investigation successfully delineated sand lenses and clay deposits along the American River levee system and the approximate depths to underlying clay zones. The results of this geophysical investigation should help the USACE to maintain the current levee system while also assisting the designers and planners of levee enhancements with the knowledge of what is to be expected from the near-surface geology and where zones of concern may be located.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081109","usgsCitation":"Asch, T., Deszcz-Pan, M., Burton, B., and Ball, L.B., 2008, Geophysical characterization of the American River levees, Sacramento, California, with electromagnetics, capacitively coupled resistivity, and DC resistivity (Version 1.0): U.S. Geological Survey Open-File Report 2008-1109, Report: 23 p.; 3 Appendices; 11 Plates: \t44.00 × 34.00 inches or smaller, https://doi.org/10.3133/ofr20081109.","productDescription":"Report: 23 p.; 3 Appendices; 11 Plates: \t44.00 × 34.00 inches or smaller","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":195440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402128,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83432.htm"},{"id":10903,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1109/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Sacramento","otherGeospatial":"American River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.424503326416,\n 38.557294096029985\n ],\n [\n -121.3443374633789,\n 38.557294096029985\n ],\n [\n -121.3443374633789,\n 38.58252615935333\n ],\n [\n -121.424503326416,\n 38.58252615935333\n ],\n [\n -121.424503326416,\n 38.557294096029985\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c4d5","contributors":{"authors":[{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":294202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deszcz-Pan, Maria 0000-0002-6298-5314 maryla@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":1263,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maria","email":"maryla@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":294200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":294201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":294199,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":81045,"text":"ds336 - 2008 - Mid-Pliocene Planktic Foraminifer Census Data from Ocean Drilling Program Hole 1237C","interactions":[],"lastModifiedDate":"2012-02-10T00:11:42","indexId":"ds336","displayToPublicDate":"2008-03-25T00:00:00","publicationYear":"2008","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":"336","title":"Mid-Pliocene Planktic Foraminifer Census Data from Ocean Drilling Program Hole 1237C","docAbstract":"INTRODUCTION\r\n\r\nThe U.S. Geological Survey is conducting a long-term study of mid-Pliocene climatic and oceanographic conditions. One of the key elements of the study involves the use of quantitative composition of planktic foraminifer assemblages in conjunction with other proxies to constrain estimates of sea-surface temperature (SST) and to identify major oceanographic boundaries and water masses.\r\n\r\nRaw census data are made available as soon as possible after analysis through a series of reports that provide the basic data for future work. In this report we present raw census data (table 1) for planktic foraminifer assemblages in 19 samples from Ocean Drilling Program (ODP) Hole 1237C. ODP Hole 1237C is located on the Peruvian margin at 16? 0.4216'S., 76? 22.6854'W., in 3211.9 meters of water (fig. 1).\r\n\r\nA variety of statistical methods have been developed to transform foraminiferal census data in Pliocene sequences into quantitative estimates of Pliocene SST. Details of statistical techniques, taxonomic groupings, and oceanographic interpretations are presented in more formal publications (Dowsett and Poore, 1990, 1991; Dowsett, 1991, 2007; Dowsett and Robinson, 1998, 2007; Dowsett and others, 1996, 1999).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds336","usgsCitation":"Caballero, R., and Dowsett, H., 2008, Mid-Pliocene Planktic Foraminifer Census Data from Ocean Drilling Program Hole 1237C: U.S. Geological Survey Data Series 336, Available online only, https://doi.org/10.3133/ds336.","productDescription":"Available online only","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10907,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/336/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78,-18 ], [ -78,-15 ], [ -75,-15 ], [ -75,-18 ], [ -78,-18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62ebe9","contributors":{"authors":[{"text":"Caballero, Rocio","contributorId":8940,"corporation":false,"usgs":true,"family":"Caballero","given":"Rocio","email":"","affiliations":[],"preferred":false,"id":294209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dowsett, Harry","contributorId":6138,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","affiliations":[],"preferred":false,"id":294208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":81042,"text":"sir20075149 - 2008 - Questa baseline and pre-mining ground-water quality investigation 22 — Groundwater budget for the Straight Creek drainage basin, Red River Valley, New Mexico, with a section on Sulphur Gulch water budget","interactions":[],"lastModifiedDate":"2022-05-11T20:04:57.729893","indexId":"sir20075149","displayToPublicDate":"2008-03-25T00:00:00","publicationYear":"2008","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":"2007-5149","title":"Questa baseline and pre-mining ground-water quality investigation 22 — Groundwater budget for the Straight Creek drainage basin, Red River Valley, New Mexico, with a section on Sulphur Gulch water budget","docAbstract":"In April 2001, the U.S. Geological Survey (USGS) and the New Mexico Environment Department (NMED) began a cooperative study to infer the pre-mining ground-water chemistry at the Molycorp molybdenum mine site in the Red River Valley. The Molycorp mine has been in operation since the 1920s. Because ground-water conditions prior to mining are not available, sites analogous to the pre-mining conditions at the mine site must be studied to infer those pre-mining conditions. The Straight Creek drainage basin (watershed) was selected as the primary analog site for this study because of its similar terrain and geology to the mine site, accessibility, potential for well construction, and minimal anthropogenic activity. The purpose of this report is to present results of a water-budget analysis of the debris-flow aquifer in the Straight Creek watershed. The water budget is based on mean annual conditions and is assumed to be steady state. For this study, the Straight Creek watershed was divided into sub-watersheds on the basis of locations of seismic lines, which were used to calculate cross-section area through the Straight Creek debris-flow deposits and underlying fractured and weathered bedrock (regolith). Water-budget components were calculated for areas upstream from and between the seismic lines. Components of the water budget were precipitation, evapotranspiration, surface-water flow, and ground-water flow under a steady-state mean annual condition. Watershed yield, defined as precipitation minus evapotranspiration, was separated into surface-water flow, ground-water flow through the debris-flow deposits and regolith, and ground-water flow through fractured bedrock. The approach to this calculation was to use Darcy's Law to calculate the flow through the cross-section area of the saturated debris-flow deposits and underlying regolith as defined by the interpreted seismic data. The amount of watershed yield unaccounted for through this section then was attributed to either surface-water flow or the component of ground-water flow through fractured bedrock. The inflow to the watershed, calculated to be 701 gallons per minute, is from precipitation. The calculated outflow from the watershed at or upstream from seismic-line 5 (the downstream-most line in Straight Creek prior to entering the Red River Valley) is 540 gallons per minute of evapotranspiration in the watershed upstream from line 5 (77.0 percent of precipitation), 5 gallons per minute of surface-water flow (0.7 percent of precipitation), 122 gallons per minute of ground-water flow through the debris-flow deposits and underlying regolith defined by the seismic data (17.4 percent of precipitation), and 34 gallons per minute of ground-water flow through fractured bedrock below the defined seismic line (4.9 percent of precipitation). The ground-water flow through the alluvium and inter-tonguing debris-flow deposits of the Red River Valley was calculated to be 5,227 gallons per minute at seismic-line 7, the first seismic line in the Red River Valley downstream from Straight Creek. The water budget indicates the amount of ground-water flow that enters the Red River alluvium from the debris-flow deposits and regolith in Straight Creek is small (about 2.3 percent; 122 gallons per minute) compared to the volume of flow that moves through the Red River alluvium. The total amount of ground-water flow from Straight Creek (156 gallons per minute; 122 gallons per minute from debris-flow deposits and regolith plus 34 gallons per minute through fractured bedrock) is about 3.0 percent of the ground-water flow calculated at line 7 for the Red River alluvium.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075149","collaboration":"Prepared in cooperation with the New Mexico Environment Department","usgsCitation":"McAda, D.P., and Naus, C.A., 2008, Questa baseline and pre-mining ground-water quality investigation 22 — Groundwater budget for the Straight Creek drainage basin, Red River Valley, New Mexico, with a section on Sulphur Gulch water budget (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5149, iv, 33 p., https://doi.org/10.3133/sir20075149.","productDescription":"iv, 33 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":195668,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":400550,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83434.htm"},{"id":10904,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5149/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Red River Valley, Straight Creek drainage basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.525,\n 36.7\n ],\n [\n -105.425,\n 36.7\n ],\n [\n -105.425,\n 36.7333\n ],\n [\n -105.525,\n 36.7333\n ],\n [\n -105.525,\n 36.7\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685b1b","contributors":{"authors":[{"text":"McAda, Douglas P. dpmcada@usgs.gov","contributorId":2763,"corporation":false,"usgs":true,"family":"McAda","given":"Douglas","email":"dpmcada@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":294203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naus, Cheryl A.","contributorId":82749,"corporation":false,"usgs":true,"family":"Naus","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":294204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209220,"text":"70209220 - 2008 - Water quality","interactions":[],"lastModifiedDate":"2020-03-24T11:57:16","indexId":"70209220","displayToPublicDate":"2008-03-24T11:41:13","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Water quality","docAbstract":"Sustainable water policy in California will require maintaining or improving water quality. The Delta is an important source of drinking water for Californians, but sustaining a quality sufficient for human and agricultural consumption presents a number of problems and challenges to water managers. Similarly, poor environmental water quality is recognized as one of the influential stressors contributing to the ecological problems of the Delta (Bennett 2005; Kimmerer 2004).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of bay-Delta science, 2008","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"CALFED Science Program","usgsCitation":"Luoma, S.N., Anderson, S., Bergamaschi, B.A., Holm, L., Ruhl, C., Schoellhamer, D., and Stewart, R., 2008, Water quality, chap. 3 of The state of bay-Delta science, 2008, p. 55-72.","productDescription":"18 p.","startPage":"55","endPage":"72","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":373475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3709716796875,\n 36.83127162140714\n ],\n [\n -120.36621093749999,\n 36.83127162140714\n ],\n [\n -120.36621093749999,\n 39.342794408952365\n ],\n [\n -123.3709716796875,\n 39.342794408952365\n ],\n [\n -123.3709716796875,\n 36.83127162140714\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":785437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Susan","contributorId":223554,"corporation":false,"usgs":false,"family":"Anderson","given":"Susan","affiliations":[],"preferred":false,"id":785438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm, Lisa","contributorId":223555,"corporation":false,"usgs":false,"family":"Holm","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":785440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruhl, Cathy 0000-0002-7989-8815 cruhl@usgs.gov","orcid":"https://orcid.org/0000-0002-7989-8815","contributorId":152696,"corporation":false,"usgs":true,"family":"Ruhl","given":"Cathy","email":"cruhl@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":785441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stewart, Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":222246,"corporation":false,"usgs":true,"family":"Stewart","given":"Robin","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":785443,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70209207,"text":"70209207 - 2008 - Making non-digitally-recorded seismograms accessible online for studying earthquakes","interactions":[],"lastModifiedDate":"2020-03-24T07:39:10","indexId":"70209207","displayToPublicDate":"2008-03-24T07:36:25","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Making non-digitally-recorded seismograms accessible online for studying earthquakes","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Historical seismology: Modern approaches in solid earth sciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-1-4020-8222-1_20","usgsCitation":"Lee, W., and Benson, R., 2008, Making non-digitally-recorded seismograms accessible online for studying earthquakes, chap. of Historical seismology: Modern approaches in solid earth sciences, v. 2, p. 403-427, https://doi.org/10.1007/978-1-4020-8222-1_20.","productDescription":"25 p.","startPage":"403","endPage":"427","costCenters":[],"links":[{"id":373461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, W.H.K.","contributorId":35303,"corporation":false,"usgs":true,"family":"Lee","given":"W.H.K.","affiliations":[],"preferred":false,"id":785386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, R.","contributorId":203811,"corporation":false,"usgs":false,"family":"Benson","given":"R.","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":785387,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}