{"pageNumber":"1906","pageRowStart":"47625","pageSize":"25","recordCount":184982,"records":[{"id":98660,"text":"sir20105104 - 2010 - Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"sir20105104","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","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":"2010-5104","title":"Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008","docAbstract":"The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, investigated trends in base flow, total flow, and base-flow index of selected streams in Oklahoma and evaluated possible causes for trends. Thirty-seven streamflow-gaging stations that had unregulated or moderately regulated streamflow were selected for trend analysis.\r\n\r\nStatistical evaluation of trends in annual and seasonal (winter-spring and summer-autumn) base flow, total flow, and base-flow index at 37 selected streamflow-gaging stations in Oklahoma was performed by using a Kendall's tau trend test. This trend analysis also was performed for annual and seasonal precipitation for nine climate divisions in the study area, annual peak flows, the number of days where flow was zero or less than 1 cubic foot per second (both annually and seasonally), and annual winter groundwater levels for 35 shallow wells near the analyzed stations. Precipitation-adjusted trends using LOESS regressions and Kendall's tau were computed for annual and seasonal base-flow and total-flow volumes in order to identify the presence of underlying trends in streamflow that are not associated with annual or seasonal variations in precipitation.\r\n\r\nIn general, upward trends in precipitation were detected for climate divisions in north-central Oklahoma and south-central and southeastern Kansas. More climate divisions had statistically significant upward trends in total precipitation for annual water years than in winter-spring or summer-autumn water years.\r\n\r\nSignificant trends in annual or seasonal base-flow volume were detected for 22 stations, 19 of which had trends that were upward in direction. Significant trends in annual or seasonal total-flow volume were detected for 14 stations, 9 of which had trends that were upward in direction. Most stations that had significant upward trends in annual or seasonal total-flow volume also had significant upward trends in base-flow volume for the same period. Precipitation adjustment changed the results (significant only or significance and direction) of significant annual or seasonal trends in unadjusted base-flow volume for 12 stations and in unadjusted total-flow volume for 13 stations.\r\n\r\nSignificant trends in annual or seasonal base-flow index were detected for 25 stations, 23 of which had trends that were upward in direction. Eighteen stations that had significant upward trends in annual or seasonal base-flow index also had significant upward trends in base-flow volume and no significant downward trends in total-flow volume during the same period, which indicated that upward trends in base-flow index were likely driven by increases in base flow at these stations.\r\n\r\nTrend results were highly variable throughout the State. However, some recurring patterns in locations of stations with similar trend results were detected. In general, significant downward trends in base-flow and total-flow volumes were detected for the three stations in the Oklahoma Panhandle. Significant upward trends in annual or seasonal base-flow volume before and after precipitation adjustment were detected for 12 stations in southwestern and central Oklahoma. In eastern Oklahoma, significant upward trends in annual or seasonal base-flow volume were only detected for 4 stations, and significant upward trends in annual or seasonal total-flow volume were only detected for 1 station. After precipitation adjustment no stations in this region had significant upward trends in either parameter, one station had significant downward trends in annual base-flow volume, and one station had significant downward trends in winter-spring total-flow volume.\r\n\r\nIncreases in annual and seasonal precipitation, especially during a substantial wet period (1980-2000), may be one of the factors resulting in upward trends in base-flow volume and total-flow volume at many of the stations analyzed in this report. Eleven stations with significant upward trends in precipitation-adjust","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105104","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Esralew, R.A., and Lewis, J.M., 2010, Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008: U.S. Geological Survey Scientific Investigations Report 2010-5104, xii, 143 p., https://doi.org/10.3133/sir20105104.","productDescription":"xii, 143 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1895-01-01","temporalEnd":"2008-09-30","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":116002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5104.jpg"},{"id":14063,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5104/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5,33.833333333333336 ], [ -103.5,37.5 ], [ -94,37.5 ], [ -94,33.833333333333336 ], [ -103.5,33.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697c5c","contributors":{"authors":[{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306052,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98653,"text":"gip110 - 2010 - Using land-cover change as dynamic variables in surface-water and water-quality models","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"gip110","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"110","title":"Using land-cover change as dynamic variables in surface-water and water-quality models","docAbstract":"Land-cover data are typically used in hydrologic modeling to establish or describe land surface dynamics. This project is designed to demonstrate the use of land-cover change data in surface-water and water-quality models by incorporating land-cover as a variable condition. The project incorporates three different scenarios that vary hydrologically and geographically: 1) Agriculture in the Plains, 2) Loon habitat in New England, and 3) Forestry in the Ozarks.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/gip110","usgsCitation":"Karstensen, K.A., Warner, K., and Kuhn, A., 2010, Using land-cover change as dynamic variables in surface-water and water-quality models: U.S. Geological Survey General Information Product 110, 1 p., https://doi.org/10.3133/gip110.","productDescription":"1 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":383,"text":"Mid-Continent Geographic Science Center","active":true,"usgs":true}],"links":[{"id":116003,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/GIP_110.jpg"},{"id":14056,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/110/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.55083333333333,37.11666666666667 ], [ -92.55083333333333,44.23444444444444 ], [ -84.40055555555556,44.23444444444444 ], [ -84.40055555555556,37.11666666666667 ], [ -92.55083333333333,37.11666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a16e4b07f02db603cb1","contributors":{"authors":[{"text":"Karstensen, Krista A. kkarstensen@usgs.gov","contributorId":286,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","email":"kkarstensen@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":306016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuhn, Anne","contributorId":105025,"corporation":false,"usgs":true,"family":"Kuhn","given":"Anne","email":"","affiliations":[],"preferred":false,"id":306018,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98654,"text":"sir20105147 - 2010 - Simulated effects of groundwater pumping and artificial recharge on surface-water resources and riparian vegetation in the Verde Valley sub-basin, Central Arizona","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105147","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","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":"2010-5147","title":"Simulated effects of groundwater pumping and artificial recharge on surface-water resources and riparian vegetation in the Verde Valley sub-basin, Central Arizona","docAbstract":"In the Verde Valley sub-basin, groundwater use has increased in recent decades. Residents and stakeholders in the area have established several groups to help in planning for sustainability of water and other resources of the area. One of the issues of concern is the effect of groundwater pumping in the sub-basin on surface water and on groundwater-dependent riparian vegetation. The Northern Arizona Regional Groundwater-Flow Model by Pool and others (in press) is the most comprehensive and up-to-date tool available to understand the effects of groundwater pumping in the sub-basin. Using a procedure by Leake and others (2008), this model was modified and used to calculate effects of groundwater pumping on surface-water flow and evapotranspiration for areas in the sub-basin. This report presents results for the upper two model layers for pumping durations of 10 and 50 years. Results are in the form of maps that indicate the fraction of the well pumping rate that can be accounted for as the combined effect of reduced surface-water flow and evapotranspiration. In general, the highest and most rapid responses to pumping were computed to occur near surface-water features simulated in the modified model, but results are not uniform along these features. The results are intended to indicate general patterns of model-computed response over large areas. For site-specific projects, improved results may require detailed studies of the local hydrologic conditions and a refinement of the modified model in the area of interest. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105147","collaboration":"Prepared in Cooperation with The Nature Conservancy","usgsCitation":"Leake, S.A., and Pool, D.R., 2010, Simulated effects of groundwater pumping and artificial recharge on surface-water resources and riparian vegetation in the Verde Valley sub-basin, Central Arizona: U.S. Geological Survey Scientific Investigations Report 2010-5147, v, 18 p., https://doi.org/10.3133/sir20105147.","productDescription":"v, 18 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":116004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5147.jpg"},{"id":14057,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5147/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.7,35.3 ], [ -112.7,35.7 ], [ -111,35.7 ], [ -111,35.3 ], [ -112.7,35.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b5e4b07f02db5cb35a","contributors":{"authors":[{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306019,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98655,"text":"ds525 - 2010 - EAARL coastal topography-Gateway National Recreation Area, New Jersey and New York, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ds525","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","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":"525","title":"EAARL coastal topography-Gateway National Recreation Area, New Jersey and New York, 2009","docAbstract":"This DVD contains lidar-derived bare-earth (BE) and first-surface (FS) topography GIS datasets of a portion of the Gateway National Recreation Area in New Jersey and New York. These datasets were acquired July 8-9, 2009.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds525","usgsCitation":"Nayegandhi, A., Vivekanandan, S., Brock, J., Stevens, S., Wright, C.W., Bonisteel, J.M., Nagle, D.B., Yates, X., and Klipp, E.S., 2010, EAARL coastal topography-Gateway National Recreation Area, New Jersey and New York, 2009: U.S. Geological Survey Data Series 525, DVD-ROM; Downloads Directory, https://doi.org/10.3133/ds525.","productDescription":"DVD-ROM; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2009-07-08","temporalEnd":"2009-07-09","costCenters":[],"links":[{"id":203308,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14058,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/525/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.15083333333334,40.35 ], [ -74.15083333333334,40.61666666666667 ], [ -73.95,40.61666666666667 ], [ -73.95,40.35 ], [ -74.15083333333334,40.35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e479de4b07f02db49229a","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":306025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":306028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":306021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":306029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":306026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":306023,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":306027,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":306022,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":98656,"text":"ds527 - 2010 - EAARL coastal topography-eastern Florida, post-Hurricane Frances, 2004: first surface","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ds527","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","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":"527","title":"EAARL coastal topography-eastern Florida, post-Hurricane Frances, 2004: first surface","docAbstract":"This DVD contains lidar-derived first-surface (FS) topography GIS datasets of a portion of the eastern Florida coastline beachface, acquired post-Hurricane Frances on September 9, 2004.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds527","usgsCitation":"Yates, X., Nayegandhi, A., Bonisteel, J.M., Wright, C.W., Sallenger, A., Brock, J., Klipp, E.S., and Nagle, D.B., 2010, EAARL coastal topography-eastern Florida, post-Hurricane Frances, 2004: first surface: U.S. Geological Survey Data Series 527, DVD-ROM; Downloads Directory, https://doi.org/10.3133/ds527.","productDescription":"DVD-ROM; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2004-09-09","costCenters":[],"links":[{"id":203268,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14059,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/527/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.55,26.416666666666668 ], [ -81.55,30.733333333333334 ], [ -79.75,30.733333333333334 ], [ -79.75,26.416666666666668 ], [ -81.55,26.416666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c359","contributors":{"authors":[{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":306037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":306034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":306035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":306036,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":306030,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":306031,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":306032,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044358,"text":"70044358 - 2010 - ePRISM: A case study in multiple proxy and mixed temporal resolution integration","interactions":[],"lastModifiedDate":"2013-04-02T09:40:55","indexId":"70044358","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"ePRISM: A case study in multiple proxy and mixed temporal resolution integration","docAbstract":"As part of the Pliocene Research, Interpretation and Synoptic Mapping (PRISM) Project, we present the ePRISM experiment designed I) to provide climate modelers with a reconstruction of an early Pliocene warm period that was warmer than the PRISM interval (similar to 3.3 to 3.0 Ma), yet still similar in many ways to modern conditions and 2) to provide an example of how best to integrate multiple-proxy sea surface temperature (SST) data from time series with varying degrees of temporal resolution and age control as we begin to build the next generation of PRISM, the PRISM4 reconstruction, spanning a constricted time interval. While it is possible to tie individual SST estimates to a single light (warm) oxygen isotope event, we find that the warm peak average of SST estimates over a narrowed time interval is preferential for paleoclimate reconstruction as it allows for the inclusion of more records of multiple paleotemperature proxies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stratigraphy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","publisherLocation":"Flushing, NY","usgsCitation":"Robinson, M.M., and Dowsett, H.J., 2010, ePRISM: A case study in multiple proxy and mixed temporal resolution integration: Stratigraphy, v. 7, no. 2-3, p. 177-187.","productDescription":"11 p.","startPage":"177","endPage":"187","numberOfPages":"11","ipdsId":"IP-022393","costCenters":[],"links":[{"id":270447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515bfdffe4b075500ee5caac","contributors":{"authors":[{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":475367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":475366,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159355,"text":"70159355 - 2010 - The tract aggregation problem in probabilistic mineral resource assessment","interactions":[],"lastModifiedDate":"2021-10-21T14:09:54.288663","indexId":"70159355","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The tract aggregation problem in probabilistic mineral resource assessment","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings IAMG 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"13th Annual Conference of the International Association for Mathematical Geosciences (IAMG 2010)","conferenceDate":"August 29-September 2, 2010","conferenceLocation":"Budapest, Hungary","language":"English","publisher":"IAMG","usgsCitation":"Long, K., Drew, L., Schuenemeyer, J., and Sutphin, D.M., 2010, The tract aggregation problem in probabilistic mineral resource assessment, <i>in</i> Proceedings IAMG 2010, Budapest, Hungary, August 29-September 2, 2010, 11 p.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022668","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":310564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08f6e4b011227bf1fdf6","contributors":{"authors":[{"text":"Long, Keith","contributorId":14259,"corporation":false,"usgs":true,"family":"Long","given":"Keith","affiliations":[],"preferred":false,"id":578179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drew, Lawrence ldrew@usgs.gov","contributorId":149377,"corporation":false,"usgs":false,"family":"Drew","given":"Lawrence","email":"ldrew@usgs.gov","affiliations":[],"preferred":false,"id":578180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuenemeyer, John","contributorId":149378,"corporation":false,"usgs":false,"family":"Schuenemeyer","given":"John","email":"","affiliations":[],"preferred":false,"id":578181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutphin, David M.","contributorId":149379,"corporation":false,"usgs":false,"family":"Sutphin","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":578182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156096,"text":"70156096 - 2010 - Predators shape distribution and promote diversification of morphological defenses in <i>Leucorrhinia</i> , Odonata","interactions":[],"lastModifiedDate":"2015-08-17T11:01:46","indexId":"70156096","displayToPublicDate":"2010-09-01T12:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1603,"text":"Evolutionary Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predators shape distribution and promote diversification of morphological defenses in <i>Leucorrhinia</i> , Odonata","docAbstract":"<p><span>Predators strongly influence species assemblages and shape morphological defenses of prey. Interestingly, adaptations that constitute effective defenses against one type of predator may render the prey susceptible to other types of predators. Hence, prey may evolve different strategies to escape predation, which may facilitate adaptive radiation of prey organisms. Larvae of different species in the dragonfly genus&nbsp;</span><i class=\"EmphasisTypeItalic\">Leucorrhinia</i><span>&nbsp;have various morphological defenses. We studied the distribution of these larvae in relation to the presence of predatory fish. In addition, we examined the variation in morphological defenses within species with respect to the occurrence of fish. We found that well-defended species, those with more and longer spines, were more closely associated with habitats inhabited by predatory fish and that species with weakly developed morphological defenses were more abundant in habitats without fish. The species predominantly connected to lakes with or without fish, respectively, were not restricted to a single clade in the phylogeny of the genus. Our data is suggestive of phenotypic plasticity in morphological defense in three of the studied species since these species showed longer spines in lakes with fish. We suggest that adaptive phenotypic plasticity may have broadened the range of habitats accessible to&nbsp;</span><i class=\"EmphasisTypeItalic\">Leucorrhinia</i><span>. It may have facilitated colonization of new habitats with different types of predators, and ultimately, speciation through adaptive radiation.</span></p>","language":"English","publisher":"Springer Netherlands","publisherLocation":"Dordrecht, the Netherlands","doi":"10.1007/s10682-010-9361-x","usgsCitation":"Petrin, Z., Schilling, E., Loftin, C., and Johansson, F., 2010, Predators shape distribution and promote diversification of morphological defenses in <i>Leucorrhinia</i> , Odonata: Evolutionary Ecology, v. 24, no. 5, p. 1003-1016, https://doi.org/10.1007/s10682-010-9361-x.","productDescription":"14 p.","startPage":"1003","endPage":"1016","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010559","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-14","publicationStatus":"PW","scienceBaseUri":"55d305b8e4b0518e35468d17","contributors":{"authors":[{"text":"Petrin, Zlatko","contributorId":146556,"corporation":false,"usgs":false,"family":"Petrin","given":"Zlatko","email":"","affiliations":[],"preferred":false,"id":568236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schilling, Emily Gaenzle","contributorId":66069,"corporation":false,"usgs":false,"family":"Schilling","given":"Emily Gaenzle","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":568237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":567849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johansson, Frank","contributorId":146557,"corporation":false,"usgs":false,"family":"Johansson","given":"Frank","email":"","affiliations":[],"preferred":false,"id":568238,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70150456,"text":"70150456 - 2010 - Fish community structure in natural and engineered habitats in the Kansas River","interactions":[],"lastModifiedDate":"2021-03-18T15:41:32.892141","indexId":"70150456","displayToPublicDate":"2010-09-01T10:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Fish community structure in natural and engineered habitats in the Kansas River","docAbstract":"<p><span>We investigated fish assemblage structure in engineered (rip‐rap) and natural habitats (log jams and mud banks) in the Kansas River USA to determine if natural structures had higher abundance and diversity of fishes at a local spatial scale. A total of 439 randomly selected sites were boat electrofished from May to August 2005 and 2006. Mean species diversity and richness were significantly higher in rip‐rap than log jams and mud banks. Mean relative abundance (CPUE; number of fish collected per hour electrofishing) of six of the 15 most common fishes (&gt;1% of total catch) were most abundant in rip‐rap, two were most abundant in log jams, and none in mud banks. Rip‐rap had the highest relative abundance of fluvial specialist and macrohabitat generalists, whereas mean CPUE of fluvial dependents was highest in log jams. Although a discriminant function analysis indicated that nine size classes (eight species) discriminated among three habitat types, the high misclassification rate (38%) suggested a high degree of fish assemblage overlap among the habitats. Although previous work has suggested that engineered structures (rip‐rap) and urbanization are linked to reduced biotic diversity or reduced growth of fish species, our results suggest that at a local scale rip‐rap may not have the same negative impacts on fish assemblages.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.1287","usgsCitation":"White, K., Gerken, J., Paukert, C.P., and Makinster, A.S., 2010, Fish community structure in natural and engineered habitats in the Kansas River: River Research and Applications, v. 26, no. 7, p. 797-805, https://doi.org/10.1002/rra.1287.","productDescription":"9 p.","startPage":"797","endPage":"805","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.1287","text":"Publisher Index Page"},{"id":302356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Kansas River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.1630859375,\n              38.82901019751963\n            ],\n            [\n              -94.59228515625,\n              38.82901019751963\n            ],\n            [\n              -94.59228515625,\n              39.232253141714885\n            ],\n            [\n              -97.1630859375,\n              39.232253141714885\n            ],\n            [\n              -97.1630859375,\n              38.82901019751963\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2009-06-30","publicationStatus":"PW","scienceBaseUri":"558e77b6e4b0b6d21dd65954","contributors":{"authors":[{"text":"White, K.","contributorId":99408,"corporation":false,"usgs":false,"family":"White","given":"K.","affiliations":[],"preferred":false,"id":556930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerken, J.","contributorId":17860,"corporation":false,"usgs":false,"family":"Gerken","given":"J.","email":"","affiliations":[],"preferred":false,"id":556931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Makinster, Andrew S.","contributorId":103629,"corporation":false,"usgs":true,"family":"Makinster","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":556932,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118916,"text":"70118916 - 2010 - The effect of resource quantity and resource stoichiometry on microbial carbon-use-efficiency","interactions":[],"lastModifiedDate":"2014-07-31T10:07:43","indexId":"70118916","displayToPublicDate":"2010-09-01T10:06:28","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"title":"The effect of resource quantity and resource stoichiometry on microbial carbon-use-efficiency","docAbstract":"The carbon-use-efficiency (CUE) of microorganisms is an important parameter in determining ecosystem-level carbon (C) cycling; however, little is known about how variance in resources affects microbial CUE. To elucidate how resource quantity and resource stoichiometry affect microbial CUE, we cultured four microorganisms - two fungi (Aspergillus nidulans and Trichoderma harzianum) and two bacteria (Pectobacterium carotovorum and Verrucomicrobium spinosum) - under 12 unique C, nitrogen (N) and phosphorus (P) ratios. Whereas the CUE of A. nidulans was strongly affected by C, bacterial CUE was more strongly affected by mineral nutrients (N and P). Specifically, CUE in P. carotovorum was positively correlated with P, while CUE of V. spinosum primarily depended on N. This resulted in a positive relationship between fungal CUE and resource C : nutrient stoichiometry and a negative relationship between bacterial CUE and resource C : nutrient stoichiometry. The difference in the direction of the relationship between CUE and C : nutrient for fungi vs. bacteria was consistent with differences in biomass stoichiometry and suggested that fungi have a higher C demand than bacteria. These results suggest that the links between biomass stoichiometry, resource demand and CUE may provide a mechanism for commonly observed temporal and spatial patterns in microbial community structure and function in natural habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"FEMS Microbiology Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Federation of European Microbiological Societies","publisherLocation":"Amsterdam","doi":"10.1111/j.1574-6941.2010.00912.x","usgsCitation":"Kleiblinger, K., Hall, E., Wanek, W., Szukics, U., Hammerle, I., Ellersdorfer, G., Bock, S., Strauss, J., Sterflinger, K., Richter, A., and Zechmeister-Boltenstern, S., 2010, The effect of resource quantity and resource stoichiometry on microbial carbon-use-efficiency: FEMS Microbiology Ecology, v. 73, no. 3, p. 430-440, https://doi.org/10.1111/j.1574-6941.2010.00912.x.","productDescription":"11 p.","startPage":"430","endPage":"440","numberOfPages":"11","costCenters":[],"links":[{"id":475674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1574-6941.2010.00912.x","text":"Publisher Index Page"},{"id":291466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291465,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1574-6941.2010.00912.x"}],"volume":"73","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-06-11","publicationStatus":"PW","scienceBaseUri":"53db584be4b0fba533fa35bb","contributors":{"authors":[{"text":"Kleiblinger, K.M.","contributorId":37658,"corporation":false,"usgs":true,"family":"Kleiblinger","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":497460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, E. 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K.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":497463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wanek, W.","contributorId":58807,"corporation":false,"usgs":true,"family":"Wanek","given":"W.","email":"","affiliations":[],"preferred":false,"id":497461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szukics, U.","contributorId":36869,"corporation":false,"usgs":true,"family":"Szukics","given":"U.","email":"","affiliations":[],"preferred":false,"id":497458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammerle, I.","contributorId":32837,"corporation":false,"usgs":true,"family":"Hammerle","given":"I.","email":"","affiliations":[],"preferred":false,"id":497457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellersdorfer, G.","contributorId":37265,"corporation":false,"usgs":true,"family":"Ellersdorfer","given":"G.","email":"","affiliations":[],"preferred":false,"id":497459,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bock, S.","contributorId":86271,"corporation":false,"usgs":true,"family":"Bock","given":"S.","email":"","affiliations":[],"preferred":false,"id":497464,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Strauss, J.","contributorId":8770,"corporation":false,"usgs":true,"family":"Strauss","given":"J.","affiliations":[],"preferred":false,"id":497455,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sterflinger, K.","contributorId":19486,"corporation":false,"usgs":true,"family":"Sterflinger","given":"K.","email":"","affiliations":[],"preferred":false,"id":497456,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Richter, A.","contributorId":71486,"corporation":false,"usgs":true,"family":"Richter","given":"A.","email":"","affiliations":[],"preferred":false,"id":497462,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zechmeister-Boltenstern, S.","contributorId":8392,"corporation":false,"usgs":true,"family":"Zechmeister-Boltenstern","given":"S.","email":"","affiliations":[],"preferred":false,"id":497454,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70101008,"text":"70101008 - 2010 - Wolves will not provide small-scale ecological restoration","interactions":[],"lastModifiedDate":"2018-04-04T11:09:18","indexId":"70101008","displayToPublicDate":"2010-09-01T09:47:12","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Wolves will not provide small-scale ecological restoration","docAbstract":"<p>Licht and colleagues (BioScience 60: 147–153) proposed a paradigm shift in wolf management to include the introductions of small, highly manipulated groups of wolves (<i>Canis lupus</i>) to confined natural areas to facilitate ecosystem recovery. Certainly, reductions or losses of apex predators from many regions worldwide have had profound effects on ecosystem characteristics (Soulé et al. 2003). Numerous efforts to restore or enhance predator populations through policy change or reintroductions have occurred, often with the intent to restore ecosystem function (Breitenmoser et al. 2001). However, in addition to the gargantuan technological and political challenges inherent in Licht and colleagues' proposal, we contend that intensively managed wolves will not restore natural ecosystem processes given the disparity in scale between these proposed actions and the ecosystem processes that wolves foster. Further, we note that predator-prey relationships are more complex than Licht suggested.</p>","language":"English","publisher":"Oxford Journals","doi":"10.1525/bio.2010.60.7.18","usgsCitation":"Belant, J.L., and Adams, L., 2010, Wolves will not provide small-scale ecological restoration: BioScience, v. 60, no. 7, p. 485-485, https://doi.org/10.1525/bio.2010.60.7.18.","productDescription":"1 p.","startPage":"485","endPage":"485","ipdsId":"IP-020505","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":475675,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1525/bio.2010.60.7.18","text":"External Repository"},{"id":285934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535595e0e4b0120853e8c30e","contributors":{"authors":[{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":492522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":492521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074637,"text":"70074637 - 2010 - Monitoring very-long-period seismicity at Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2014-01-31T09:45:38","indexId":"70074637","displayToPublicDate":"2010-09-01T09:39:32","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring very-long-period seismicity at Kilauea Volcano, Hawaii","docAbstract":"On 19 March, 2008 eruptive activity returned to the summit of Kilauea Volcano, Hawaii with the formation of a new vent within the Halemaumau pit crater. The new vent has been gradually increasing in size, and exhibiting sustained degassing and the episodic bursting of gas slugs at the surface of a lava pond ∼200 m below the floor of Halemaumau. The spectral characteristics, source location obtained by radial semblance, and Hidden Markov Model pattern recognition of the degassing burst signals are consistent with an increase in gas content in the magma transport system beginning in October, 2007. This increase plateaus between March – September 2008, and exhibits a fluctuating pattern until 31 January, 2010, suggesting that the release of gas is slowly diminishing over time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2010GL044418","usgsCitation":"Dawson, P.B., Benitez, M.C., Chouet, B.A., Wilson, D., and Okubo, P.G., 2010, Monitoring very-long-period seismicity at Kilauea Volcano, Hawaii: Geophysical Research Letters, v. 37, no. 18, L18306, 6 p., https://doi.org/10.1029/2010GL044418.","productDescription":"L18306, 6 p.","ipdsId":"IP-023172","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":281796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281795,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL044418"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.062,18.9108 ], [ -156.062,20.2686 ], [ -154.8065,20.2686 ], [ -154.8065,18.9108 ], [ -156.062,18.9108 ] ] ] } } ] }","volume":"37","issue":"18","noUsgsAuthors":false,"publicationDate":"2010-09-28","publicationStatus":"PW","scienceBaseUri":"53cd6829e4b0b29085101db6","contributors":{"authors":[{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":489626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benitez, M. C.","contributorId":65381,"corporation":false,"usgs":true,"family":"Benitez","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":489628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":489627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David","contributorId":82048,"corporation":false,"usgs":true,"family":"Wilson","given":"David","affiliations":[],"preferred":false,"id":489629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":489625,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230187,"text":"70230187 - 2010 - Ordovician volcanic-arc terrane in the Central Appalachian Piedmont of Maryland and Virginia: SHRIMP U-Pb geochronology, field relations, and tectonic significance","interactions":[],"lastModifiedDate":"2022-04-04T14:14:23.502462","indexId":"70230187","displayToPublicDate":"2010-09-01T08:53:32","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ordovician volcanic-arc terrane in the Central Appalachian Piedmont of Maryland and Virginia: SHRIMP U-Pb geochronology, field relations, and tectonic significance","docAbstract":"<p><span>U-Pb zircon geochronology and field relations provide insights into metavolcanic and associated rocks in the Central Appalachian Piedmont of Maryland and northern Virginia. Ordovician ages were determined for volcanic-arc rocks of the James Run Formation (Churchville Gneiss Member, 458 ± 4 Ma; Carroll Gneiss Member, 462 ± 4 Ma), Relay Felsite (458 ± 4 Ma), Chopawamsic Formation (453 ± 4 Ma), and a Quantico Formation volcaniclastic layer (448 ± 4 Ma). A previously dated first phase of volcanism in the Chopawamsic Formation was followed by the second phase dated here. The latter suggests a possible source for contemporaneous volcanic-ash beds throughout eastern North America. Dates from the Chopawamsic and Quantico Formations constrain the transition from arc volcanism to successor-basin sedimentation. Ordovician metatonalites of the Franklinville (462 ± 5 Ma) and Perry Hall (461 ± 5 Ma) plutons are contemporaneous with the James Run Formation, whereas granitoids of the Bynum Run (434 ± 4 Ma) and Prince William Forest (434 ± 8 Ma) plutons indicate an Early Silurian plutonic event. The Popes Head Formation yielded Mesoproterozoic (1.0–1.25 Ga, 1.5–1.8 Ga) detrital zircons, and metamorphosed sedimentary mélange of the Sykesville Formation yielded Mesoproterozoic (1.0–1.8 Ga) detrital zircons plus a minor Archean (2.6 Ga) component. A few euhedral zircons (ca. 479 Ma) in the Sykesville Formation may be from granitic seams related to the Dalecarlia Intrusive Suite. A Potomac orogeny in the Central Appalachian Piedmont is not required, but the earliest Taconic orogenesis remains poorly constrained.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From Rodinia to Pangea: The lithotectonic record of the Appalachian region","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.1206(25)","usgsCitation":"Horton,, J., Aleinikoff, J.N., Drake, A.A., and Fanning, C.M., 2010, Ordovician volcanic-arc terrane in the Central Appalachian Piedmont of Maryland and Virginia: SHRIMP U-Pb geochronology, field relations, and tectonic significance, chap. <i>of</i> From Rodinia to Pangea: The lithotectonic record of the Appalachian region, p. 621-660, https://doi.org/10.1130/2010.1206(25).","productDescription":"40 p.","startPage":"621","endPage":"660","costCenters":[],"links":[{"id":398007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.6131591796875,\n              39.027718840211605\n            ],\n            [\n              -75.9814453125,\n              39.605688178320804\n            ],\n            [\n              -75.9100341796875,\n              39.69450749856091\n            ],\n            [\n              -76.97021484375,\n              39.631076770083666\n            ],\n            [\n              -77.49755859375,\n              38.75408327579141\n            ],\n            [\n              -77.7008056640625,\n              38.39333888832238\n            ],\n            [\n              -77.32177734375,\n              38.35027253825765\n            ],\n            [\n              -76.6131591796875,\n              39.027718840211605\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":839414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":839415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake, Avery A. Jr.","contributorId":81090,"corporation":false,"usgs":true,"family":"Drake","given":"Avery","suffix":"Jr.","middleInitial":"A.","affiliations":[],"preferred":false,"id":839416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fanning, C. Mark","contributorId":193462,"corporation":false,"usgs":false,"family":"Fanning","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":839417,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236662,"text":"70236662 - 2010 - Les métaux dans les particules atmosphériques: Les isotopes peuvent-ils aider à discriminer les pôles d’émission potentiels?","interactions":[],"lastModifiedDate":"2022-09-15T13:37:30.07415","indexId":"70236662","displayToPublicDate":"2010-09-01T08:16:11","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12587,"text":"Pollution Atmosphérique","active":true,"publicationSubtype":{"id":10}},"title":"Les métaux dans les particules atmosphériques: Les isotopes peuvent-ils aider à discriminer les pôles d’émission potentiels?","docAbstract":"<p>No abstract available.</p>","language":"French","publisher":"Association pour la Prévention de la Pollution Atmosphérique","usgsCitation":"Widory, D., Petelet-Giraud, E., Le Bihan, O., Le Moullec, Y., Quetel, C., Snell, J., Van Bocxstaele, M., Hure, A., Canard, E., Joos, E., Forti, L., Bullen, T.D., Johnson, T., and Fiani, E., 2010, Les métaux dans les particules atmosphériques: Les isotopes peuvent-ils aider à discriminer les pôles d’émission potentiels?: Pollution Atmosphérique, p. 75-82.","productDescription":"8 p.","startPage":"75","endPage":"82","costCenters":[],"links":[{"id":406746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":406745,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.appa.asso.fr/retour-aux-sources-la-recherche-et-lidentification-des-sources-de-pollution-septembre-2010/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Widory, David","contributorId":296543,"corporation":false,"usgs":false,"family":"Widory","given":"David","email":"","affiliations":[],"preferred":false,"id":851791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petelet-Giraud, Emmanuelle","contributorId":296544,"corporation":false,"usgs":false,"family":"Petelet-Giraud","given":"Emmanuelle","email":"","affiliations":[],"preferred":false,"id":851792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le Bihan, Olivier","contributorId":296545,"corporation":false,"usgs":false,"family":"Le Bihan","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":851793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le Moullec, Yvon","contributorId":296546,"corporation":false,"usgs":false,"family":"Le Moullec","given":"Yvon","email":"","affiliations":[],"preferred":false,"id":851794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quetel, Christophe","contributorId":296547,"corporation":false,"usgs":false,"family":"Quetel","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":851795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snell, James","contributorId":296548,"corporation":false,"usgs":false,"family":"Snell","given":"James","email":"","affiliations":[],"preferred":false,"id":851796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Bocxstaele, Marleen","contributorId":296549,"corporation":false,"usgs":false,"family":"Van Bocxstaele","given":"Marleen","email":"","affiliations":[],"preferred":false,"id":851797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hure, Audrey","contributorId":296550,"corporation":false,"usgs":false,"family":"Hure","given":"Audrey","email":"","affiliations":[],"preferred":false,"id":851798,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Canard, Evelyne","contributorId":296551,"corporation":false,"usgs":false,"family":"Canard","given":"Evelyne","email":"","affiliations":[],"preferred":false,"id":851799,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Joos, Eric","contributorId":296552,"corporation":false,"usgs":false,"family":"Joos","given":"Eric","email":"","affiliations":[],"preferred":false,"id":851800,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Forti, Laurent","contributorId":296553,"corporation":false,"usgs":false,"family":"Forti","given":"Laurent","email":"","affiliations":[],"preferred":false,"id":851801,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":851802,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnson, Tom","contributorId":296554,"corporation":false,"usgs":false,"family":"Johnson","given":"Tom","email":"","affiliations":[],"preferred":false,"id":851803,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fiani, Emmanuel","contributorId":296555,"corporation":false,"usgs":false,"family":"Fiani","given":"Emmanuel","email":"","affiliations":[],"preferred":false,"id":851804,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70040056,"text":"70040056 - 2010 - 2009 Observer Survey Report","interactions":[],"lastModifiedDate":"2016-05-17T14:16:02","indexId":"70040056","displayToPublicDate":"2010-09-01T01:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":95,"text":"USA-NPN Technical Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2010‐003","title":"2009 Observer Survey Report","docAbstract":"<p>The USA‐National Phenology Network (USA‐NPN) seeks to engage volunteer observers in collecting phenological observations of plants and animals using consistent standards and to contribute their observations to a national data repository. In March 2009, the National Coordinating Office staff implemented an online monitoring program for 213 plant species. In this pilot year of the program, 547 observers reported phenology observations on one or more plants via the online interface.</p>\n<p>To learn more about our participants and to improve our program and our participants&rsquo; experience, we undertook a survey of individuals registered in the USA‐NPN phenology observation program. This report summarizes the results of the 2009 observer surveys.&nbsp;&nbsp;Two populations were targeted via separate surveys:&nbsp;&nbsp;</p>\n<ol>\n<li>Individuals who registered with the USA‐NPN plant phenology monitoring program via MyNPN but did not submit any data in 2009 (hereafter termed &ldquo;non‐reporting participants&rdquo;), and</li>\n<li>Individuals who submitted phenology observations via MyNPN in 2009 (hereafter termed &ldquo;reporting participants&rdquo;).</li>\n</ol>\n<p>In general, all participants in the 2009 USA‐NPN plant phenology observation program seemed to have a generally good experience. When asked why they would or would not recommend the program to friends, the majority of comments were of a positive nature, and included explanations such as, &ldquo;It is an interesting and fairly light duty activity&rdquo;, &ldquo;It&rsquo;s a cool program!&rdquo;, and &ldquo;A way to contribute to science&rdquo;. The most commonly indicated reason for not submitting observations among non‐reporters was getting lost in the registration process (14% of respondents). Another 14% of respondents indicated that they had collected observations but did not submit them online, indicating that more people may be engaged in understanding phenology than our estimates based on data submitted suggest.&nbsp;&nbsp;</p>\n<p>Survey participants&rsquo; suggestions for improving the program fell into several categories, including the need for a more expansive list of plants from which to pick, the ability to monitor animals, and more information on the plants, including photographs of the various phenophases to aid in identification. Participants also requested increased contact from the USA‐NPN, in the form of weekly or monthly emails or newsletters and reminders to collect and submit observations. Many of these suggestions are either already being addressed in changes being made to the monitoring system and online entry system or are planned for the future.</p>","language":"English","publisher":"USA Phenology Network","usgsCitation":"Crimmins, T., Rosemartin, A.H., Lincicome, A., and Weltzin, J., 2010, 2009 Observer Survey Report: USA-NPN Technical Series 2010‐003, 30 p.","productDescription":"30 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032422","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":321343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321342,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usanpn.org/pubs/reports#USA-NPN_Technical_Series"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d642ee4b07e28b66833ed","contributors":{"authors":[{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":629650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":629651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lincicome, Alexis","contributorId":146621,"corporation":false,"usgs":false,"family":"Lincicome","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":629652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":149476,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":629653,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98652,"text":"ofr20101142 - 2010 - Floods in Florida due to Tropical Storm Fay, August 15 through September 26, 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"ofr20101142","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","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":"2010-1142","title":"Floods in Florida due to Tropical Storm Fay, August 15 through September 26, 2008","docAbstract":"Weather conditions produced by Tropical Storm Fay from August 15 through September 26, 2008, caused historic flooding, spawned 19 tornadoes, inflicted $390 million in damages, and contributed to five deaths in Florida. This slow-moving system made four separate landfalls accompanied by extensive rainfall and some wind-induced effects. Major flooding with new period-of-record instantaneous peaks and maximum monthly mean streamflows were reported throughout the Ochlockonee and St. Marks Rivers in the Florida Panhandle and the St. Marys, St. Johns, Econlockhatchee, and Wekiva Rivers in northeastern Florida. A total of 147 field crews from the U.S. Geological Survey in Florida made flood measurements immediately following passage of Tropical Storm Fay and continued to monitor high-water conditions for the subsequent 24 days. These measurements were used to verify and document the ratings and the peaks of this climatic event throughout the State. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101142","usgsCitation":"Verdi, R.J., and Holt, S.L., 2010, Floods in Florida due to Tropical Storm Fay, August 15 through September 26, 2008: U.S. Geological Survey Open-File Report 2010-1142, vi, 18 p., https://doi.org/10.3133/ofr20101142.","productDescription":"vi, 18 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-08-15","temporalEnd":"2008-09-26","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":115917,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1142.jpg"},{"id":14055,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1142/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95,15 ], [ -95,40 ], [ -60,40 ], [ -60,15 ], [ -95,15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4b69","contributors":{"authors":[{"text":"Verdi, Richard J. 0000-0002-7093-9203 rverdi@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9203","contributorId":1098,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","email":"rverdi@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":306014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holt, Sandra L.","contributorId":24060,"corporation":false,"usgs":true,"family":"Holt","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98650,"text":"fs20103064 - 2010 - Northwest Area Science","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"fs20103064","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","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":"2010-3064","title":"Northwest Area Science","docAbstract":"Northwest Area Facts\r\n\r\n    * Population about 12 million\r\n    * 43 federally recognized Tribes\r\n    * Hydropower provides about two-thirds of electricity supply\r\n    * 78 federally listed threatened and endangered species\r\n    * 12 active or potentially active volcanoes\r\n    * Columbia River system drains more than 260,000 square miles, an area about the size of Texas\r\n    * More than 175 square miles covered by glaciers\r\n    * More than 900 miles of Pacific Ocean coastline\r\n    * More than 2,300 miles of greater Puget Sound coastline\r\n    * Some forests store more carbon per unit area than any other area in the world, including the tropics\r\n    * 51 percent federal lands\r\n    * Significant lead, zinc, silver, and phosphate deposits","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103064","usgsCitation":"Fuentes, T.L., van Heeswijk, M., and Grossman, E., 2010, Northwest Area Science: U.S. Geological Survey Fact Sheet 2010-3064, 2 p., https://doi.org/10.3133/fs20103064.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":483,"text":"Northwest Area","active":false,"usgs":true}],"links":[{"id":115916,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3064.bmp"},{"id":14053,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3064/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,42 ], [ -125,49 ], [ -111,49 ], [ -111,42 ], [ -125,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db696c4a","contributors":{"authors":[{"text":"Fuentes, Tracy L.","contributorId":8952,"corporation":false,"usgs":true,"family":"Fuentes","given":"Tracy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Heeswijk, Marijke heeswijk@usgs.gov","contributorId":1537,"corporation":false,"usgs":true,"family":"van Heeswijk","given":"Marijke","email":"heeswijk@usgs.gov","affiliations":[],"preferred":true,"id":306007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":2334,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[],"preferred":false,"id":306008,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98651,"text":"ofr20091121 - 2010 - Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2022-12-15T20:23:20.959113","indexId":"ofr20091121","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","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":"2009-1121","title":"Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California","docAbstract":"Constraints on drainage management in the western San Joaquin Valley and implications of proposed approaches to management were recently evaluated by the U.S. Geological Survey (USGS). The USGS found that a significant amount of data for relevant technical issues was available and that a structured, analytical decision support tool could help optimize combinations of specific in-valley drainage management strategies, address uncertainties, and document underlying data analysis for future use. To follow-up on USGS's technical analysis and to help define a scientific basis for decisionmaking in implementing in-valley drainage management strategies, this report describes the first step (that is, a framing study) in a Decision Analysis process. In general, a Decision Analysis process includes four steps: (1) problem framing to establish the scope of the decision problem(s) and a set of fundamental objectives to evaluate potential solutions, (2) generation of strategies to address identified decision problem(s), (3) identification of uncertainties and their relationships, and (4) construction of a decision support model. Participation in such a systematic approach can help to promote consensus and to build a record of qualified supporting data for planning and implementation.\r\n\r\nIn December 2008, a Decision Analysis framing study was initiated with a series of meetings designed to obtain preliminary input from key stakeholder groups on the scope of decisions relevant to drainage management that were of interest to them, and on the fundamental objectives each group considered relevant to those decisions. Two key findings of this framing study are: (1) participating stakeholders have many drainage management objectives in common; and (2) understanding the links between drainage management and water management is necessary both for sound science-based decisionmaking and for resolving stakeholder differences about the value of proposed drainage management solutions.\r\n\r\nCiting ongoing legal processes associated with drainage management in the western San Joaquin Valley, the U.S. Bureau of Reclamation (USBR) withdrew from the Decision Analysis process early in the proceedings. Without the involvement of the USBR, the USGS discontinued further development of this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091121","usgsCitation":"Presser, T.S., Jenni, K., Nieman, T., and Coleman, J., 2010, Decision analysis framing study: In-valley drainage management strategies for the western San Joaquin Valley, California: U.S. Geological Survey Open-File Report 2009-1121, iii, 12 p., https://doi.org/10.3133/ofr20091121.","productDescription":"iii, 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":14054,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1121/","linkFileType":{"id":5,"text":"html"}},{"id":410568,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93936.htm","linkFileType":{"id":5,"text":"html"}},{"id":115915,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1121.jpg"}],"country":"United States","state":"California","county":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.5656,\n              35.0631\n            ],\n            [\n              -121.5656,\n              37.75\n            ],\n            [\n              -118.9717,\n              37.75\n            ],\n            [\n              -118.9717,\n              35.0631\n            ],\n            [\n              -121.5656,\n              35.0631\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672758","contributors":{"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":306010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen E.","contributorId":21256,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen E.","affiliations":[],"preferred":false,"id":306011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nieman, Timothy","contributorId":91965,"corporation":false,"usgs":true,"family":"Nieman","given":"Timothy","affiliations":[],"preferred":false,"id":306013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, James","contributorId":63123,"corporation":false,"usgs":true,"family":"Coleman","given":"James","affiliations":[],"preferred":false,"id":306012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045137,"text":"70045137 - 2010 - Global building inventory for earthquake loss estimation and risk management","interactions":[],"lastModifiedDate":"2018-03-07T09:55:25","indexId":"70045137","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Global building inventory for earthquake loss estimation and risk management","docAbstract":"We develop a global database of building inventories using taxonomy of global building types for use in near-real-time post-earthquake loss estimation and pre-earthquake risk analysis, for the U.S. Geological Survey’s Prompt Assessment of Global Earthquakes for Response (PAGER) program. The database is available for public use, subject to peer review, scrutiny, and open enhancement. On a country-by-country level, it contains estimates of the distribution of building types categorized by material, lateral force resisting system, and occupancy type (residential or nonresidential, urban or rural). The database draws on and harmonizes numerous sources: (1) UN statistics, (2) UN Habitat’s demographic and health survey (DHS) database, (3) national housing censuses, (4) the World Housing Encyclopedia and (5) other literature.","language":"English","publisher":"Earthquake Spectra","doi":"10.1193/1.3450316","usgsCitation":"Jaiswal, K., Wald, D., and Porter, K., 2010, Global building inventory for earthquake loss estimation and risk management: Earthquake Spectra, v. 26, no. 3, p. 731-748, https://doi.org/10.1193/1.3450316.","productDescription":"18 p.","startPage":"731","endPage":"748","ipdsId":"IP-007661","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":270911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270909,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.3450316"}],"volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-08-01","publicationStatus":"PW","scienceBaseUri":"516d216be4b0411d430a8a1d","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":476918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":26291,"corporation":false,"usgs":true,"family":"Wald","given":"David","affiliations":[],"preferred":false,"id":476919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Keith","contributorId":28689,"corporation":false,"usgs":true,"family":"Porter","given":"Keith","affiliations":[],"preferred":false,"id":476920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156576,"text":"70156576 - 2010 - Controls on the global distribution of orogenic gold and their significance in relation to India","interactions":[],"lastModifiedDate":"2021-11-09T16:43:29.455961","indexId":"70156576","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Controls on the global distribution of orogenic gold and their significance in relation to India","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Gold metallogeny: India and beyond","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Narosa Publishing House","publisherLocation":"New Delhi","usgsCitation":"Deb, M., Goldfarb, R.J., Groves, D.I., and Taylor, R.D., 2010, Controls on the global distribution of orogenic gold and their significance in relation to India, chap. 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D.","contributorId":56385,"corporation":false,"usgs":true,"family":"Taylor","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":569556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044001,"text":"70044001 - 2010 - Snake River Fall Chinook Salmon life history investigations annual report, 2009","interactions":[],"lastModifiedDate":"2018-07-18T09:58:31","indexId":"70044001","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Snake River Fall Chinook Salmon life history investigations annual report, 2009","docAbstract":"<p><span>In 2009, we used radio and acoustic telemetry to evaluate the migratory behavior, survival, mortality, and delay of subyearling fall Chinook salmon in the Clearwater River and Lower Granite Reservoir. We released a total of 1,000 tagged hatchery subyearlings at Cherry Lane on the Clearwater River in mid August and we monitored them as they passed downstream through various river and reservoir reaches. Survival through the free-flowing river was high (&gt;0.85) for both radio- and acoustic-tagged fish, but dropped substantially as fish delayed in the Transition Zone and Confluence areas. Estimates of the joint probability of migration and survival through the Transition Zone and Confluence reaches combined were similar for both radio- and acoustic-tagged fish, and ranged from about 0.30 to 0.35. Estimates of the joint probability of delaying and surviving in the combined Transition Zone and Confluence peaked at the beginning of the study, ranging from 0.323 (SE =NA; radio-telemetry data) to 0.466 (SE =0.024; acoustic-telemetry data), and then steadily declined throughout the remainder of the study. By the end of October, no live tagged juvenile salmon were detected in either the Transition Zone or the Confluence. As estimates of the probability of delay decreased throughout the study, estimates of the probability of mortality increased, as evidenced by the survival estimate of 0.650 (SE =0.025) at the end of October (acoustic-telemetry data). Few fish were detected at Lower Granite Dam during our study and even fewer fish passed the dam before PIT-tag monitoring ended at the end of October. Five acoustic-tagged fish passed Lower Granite Dam in October and 12 passed the dam in November based on detections in the dam tailrace; however, too few detections were available to calculate the joint probabilities of migrating and surviving or delaying and surviving. Estimates of the joint probability of migrating and surviving through the reservoir was less than 0.2 based on acoustic-tagged fish. Migration rates of tagged fish were highest in the free-flowing river (median range = 36 to 43 km/d) but were generally less than 6 km/d in the reservoir reaches. In particular, median migration rates of radio-tagged fish through the Transition Zone and Confluence were 3.4 and 5.2 km/d, respectively. Median migration rate for acoustic-tagged fish though the Transition Zone and Confluence combined was 1 km/d.</span></p><p><span>We radio tagged 84 smallmouth bass and six channel catfish in the Confluence reach and later detected 48 bass and 1 catfish during mobile tracking. Predators were primarily located along shorelines in the Confluence, but a couple of smallmouth bass did swim into the Clearwater River. Most radio-tagged subyearlings that we determined to be dead were also located in shoreline areas suggesting that predation could account for some of the mortality we observed.</span></p><p><br></p><p><span>Our total dissolved gas (TDG) monitoring in the lower Clearwater River showed a cyclic pattern of low (~102%) TDG in the morning and higher (~110%) TDG in the late afternoon. Using a compensation depth of 1 m, we found that 15.4% (3.9 ha) of the lower 13 km of the Clearwater River would not provide fish with an opportunity for depth compensation in a low flow year. Water temperatures in the Clearwater River showed diel variations of about 2°C, and generally ranged from 10-12°C during summer flow augmentation. The Clearwater River generally showed little thermal variation while our tagged fish were at large, whereas the Snake River at the downstream boundary of the Confluence was thermally heterogeneous until mid-September. In the unimpounded Clearwater River, simulated water velocities ranged from about 1.3 to 1.5 m/s before flow augmentation ended, and were about 0.6 m/s thereafter. By comparison, velocities at the Clearwater River mouth were about 0.3 m/s during flow augmentation, and about 0.1 m/s thereafter.</span></p><p><br></p><p><span>From October 2008 to February 2009 and from July 2009 to March 2010 we used monthly mobile hydroacoustic surveys to estimate the number of juvenile Chinook salmon in Little Goose and Lower Granite reservoirs, the first two reservoirs encountered on the lower Snake River by downstream migrants. Concurrent lampara seining was used to verify acoustic targets, calculate condition factors, and to examine spatial and temporal density patterns. Our data indicated that holdovers are larger in warmer water temperature years and smaller in colder water temperature years. Lampara catch data indicated that holdovers were seasonally the most abundant and in the best condition in November and December, whereas the hydroacoustic data showed population peaks in October in Lower Granite Reservoir and in January in Little Goose Reservoir. Maximum population estimates in Lower Granite Reservoir were 6,929 in October 2008 and 7,218 in October 2009. In Little Goose Reservoir, maximum population estimates were 9,645 in January 2009 and 10,419 in January 2010. By February, abundances and relative condition factors decreased as most holdovers had probably moved past Lower Granite and Little Goose dams. Spatial differences were primarily longitudinal with greater holdover abundances in the lower reaches of both reservoirs.</span></p>","publisher":"Bonneville Power Administration Report","usgsCitation":"Tiffan, K.F., Connor, W., Buchanan, R.A., and Bellgraph, B.J., 2010, Snake River Fall Chinook Salmon life history investigations annual report, 2009, 121 p.","productDescription":"121 p.","ipdsId":"IP-024989","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":355741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355726,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P118192"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98b70ce4b0702d0e844d58","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":740226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, William P.","contributorId":115438,"corporation":false,"usgs":true,"family":"Connor","given":"William P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID  83544","active":true,"usgs":false}],"preferred":false,"id":517068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bellgraph, Brian J.","contributorId":115176,"corporation":false,"usgs":true,"family":"Bellgraph","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":517067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buchanan, Rebecca A.","contributorId":117624,"corporation":false,"usgs":true,"family":"Buchanan","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":517070,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98649,"text":"cir1361 - 2010 - Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies","interactions":[],"lastModifiedDate":"2022-09-15T19:14:39.9405","indexId":"cir1361","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1361","title":"Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies","docAbstract":"<p>Low-impact-development (LID) approaches are intended to create, retain, or restore natural hydrologic and water-quality conditions that may be affected by human alterations. Wide-scale implementation of LID techniques may offer the possibility of improving conditions in river basins, such as the Ipswich River Basin in Massachusetts, that have run dry during the summer because of groundwater withdrawals and drought. From 2005 to 2008, the U.S. Geological Survey, in a cooperative funding agreement with the Massachusetts Department of Conservation and Recreation, monitored small-scale installations of LID enhancements designed to diminish the effects of storm runoff on the quantity and quality of surface water and groundwater. Funding for the studies also was contributed by the U.S. Environmental Protection Agency’s Targeted Watersheds Grant Program through a financial assistance agreement with Massachusetts Department of Conservation and Recreation. The monitoring studies examined the effects of</p><ul><li>replacing an impervious parking-lot surface with a porous surface on groundwater quality,</li><li>installing rain gardens and porous pavement in a neighborhood of 3 acres on the quantity and quality of stormwater runoff, and</li><li>installing a 3,000-ft2 (square-foot) green roof on the quantity and quality of rainfall-generated roof runoff.</li></ul><p>In addition to these small-scale installations, the U.S. Geological Survey’s Ipswich River Basin model was used to simulate the basin-wide effects on streamflow of several changes: broad-scale implementation of LID techniques, reduced water-supply withdrawals, and water-conservation measures. Water-supply and conservation scenarios for application in model simulations were developed with the assistance of two technical advisory committees that included representatives of State agencies responsible for water resources, the U.S. Environmental Protection Agency, the U.S. Geological Survey, water suppliers, and non-governmental organizations.</p><p>From June 2005 to June 2007, groundwater quality was monitored at the Silver Lake town beach parking lot in Wilmington, Massachusetts, prior to and following the replacement of the conventional, impervious-asphalt surface with a porous surface consisting primarily of porous asphalt and porous pavers designed to enhance rainfall infiltration into the groundwater and to minimize runoff to Silver Lake. Concentrations of phosphorus, nitrogen, cadmium, chromium, copper, lead, nickel, zinc, and total petroleum hydrocarbons in groundwater were monitored. Enhancing infiltration of precipitation did not result in discernible increases in concentrations of these potential groundwater contaminants. Concentrations of dissolved oxygen increased slightly in groundwater profiles following the removal of the impervious asphalt parking-lot surface.</p><p>In Wilmington, Massachusetts, in a 3-acre neighborhood, stormwater runoff volume and quality were monitored to determine the ability of selected LID enhancements (rain gardens and porous paving stones) to reduce flows and loads of the selected constituents to Silver Lake. Water-quality samples were analyzed for nutrients, metals, total petroleum hydrocarbons, and total-coliform and<span>&nbsp;</span><i>E. coli</i><span>&nbsp;</span>bacteria. A decrease in runoff quantity was observed for storms of 0.25 inch or less of precipitation. Water-quality-monitoring results were inconclusive; there were no statistically significant differences in concentrations or loads when the pre- and post-installation-period samples were compared.</p><p>In a third field study, the characteristics of runoff from a vegetated \"green\" roof and a conventional, rubber-membrane roof were compared. The two primary factors affecting the green roof’s water-storage capacity were the amount of precipitation and antecedent dry period. Although concentrations of many of the chemicals in roof runoff were higher from the green roof than from the conventional roof, the ability of the green roof to retain water generally resulted in decreased differences between the total amounts (loads) of the chemicals that ran off the roofs.</p><p>Land-use and water-management changes associated with LID implementation were investigated at multiple spatial scales, using the U.S. Geological Survey’s Ipswich River Basin model, to evaluate the effects of</p><ul><li>updated water-supply withdrawals for the towns of Reading and Wilmington (representing new baseline conditions for all simulations),<br></li><li>potential land-use changes at buildout (potential future development),</li><li>widespread implementation of retrofitting LID techniques,</li><li>basin-scale water withdrawal reductions based on water-conservation pilot programs conducted by the Massachusetts Department of Conservation and Recreation, and</li><li>land-use change and LID applications at a local scale.</li></ul><p>The new baseline simulation indicated that reduced water-supply withdrawals for the towns of Reading and Wilmington led to substantially higher medium and low flows in most of the reaches upstream from the South Middleton streamgage in the upper Ipswich River basin.</p><p>Overall, simulations pointed to the importance of spatial scale in determining the effects of land-use change and LID practices on streamflow. Potential land-use changes at buildout had modest effects on streamflow in most subbasins (percent differences of less than 20 percent) because relatively little land in the basin was available for development. Results of the simulations conducted to evaluate widespread effective-impervious-area reductions upstream from the South Middleton streamgage indicated that the percentages of urban land use and associated effective impervious area were too small for even a 50-percent reduction of effective impervious area to appreciably affect streamflow in most subbasins. In contrast, the results of the hypothetical local-scale simulations indicated that for smaller streams, with high percentages of urban land use and associated effective impervious area, land-use change, development patterns, and LID practices may have substantial effects on streamflow. Modeling studies concurred with the results of fieldwork in the assessment that LID enhancements would likely have the greatest effect on decreasing stormwater runoff when broadly applied to highly impervious urban areas.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1361","collaboration":"Prepared in cooperation with the\r\nMassachusetts Department of Conservation and Recreation and the U.S. Environmental Protection Agency","usgsCitation":"Zimmerman, M.J., Waldron, M.C., Barbaro, J.R., and Sorenson, J.R., 2010, Effects of low-impact-development (LID) practices on streamflow, runoff quantity, and runoff quality in the Ipswich River Basin, Massachusetts: A summary of field and modeling studies: U.S. Geological Survey Circular 1361, 40 p., https://doi.org/10.3133/cir1361.","productDescription":"40 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":115918,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1361.jpg"},{"id":406782,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93937.htm","linkFileType":{"id":5,"text":"html"}},{"id":14052,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1361/","linkFileType":{"id":5,"text":"html"}}],"scale":"25000","projection":"Lambert Conformal Conic Projection","country":"United States","state":"Massachusetts","otherGeospatial":"Ipswich River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.2,\n              42.5\n            ],\n            [\n              -70.775,\n              42.5\n            ],\n            [\n              -70.775,\n              42.6989\n            ],\n            [\n              -71.2,\n              42.6989\n            ],\n            [\n              -71.2,\n              42.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611c63","contributors":{"authors":[{"text":"Zimmerman, Marc J. mzimmerm@usgs.gov","contributorId":3245,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Marc","email":"mzimmerm@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waldron, Marcus C. mwaldron@usgs.gov","contributorId":1867,"corporation":false,"usgs":true,"family":"Waldron","given":"Marcus","email":"mwaldron@usgs.gov","middleInitial":"C.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306006,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156088,"text":"70156088 - 2010 - Bald eagle predation on common loon egg","interactions":[],"lastModifiedDate":"2016-08-03T17:57:10","indexId":"70156088","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Bald eagle predation on common loon egg","docAbstract":"<p><span>The Common Loon (</span><i>Gavia immer</i><span>) must defend against many potential egg predators during incubation, including corvids, Herring Gulls (</span><i>Larus argentatus</i><span>), raccoons (</span><i>Procyon lotor</i><span>), striped skunk (</span><i>Mephitis mephitis</i><span>), fisher (</span><i>Martes pennanti</i><span>), and mink (</span><i>Neovison vison</i><span>) (</span><a class=\"ref\">McIntyre 1988</a><span>,&nbsp;</span><a class=\"ref\">Evers 2004</a><span>,&nbsp;</span><a class=\"ref\">McCann et al. 2005</a><span>). Bald Eagles (</span><i>Haliaeetus leucocephalus</i><span>) have been documented as predators of both adult Common Loons and their chicks (</span><a class=\"ref\">Vliestra and Paruk 1997</a><span>,&nbsp;</span><a class=\"ref\">Paruk et al. 1999</a><span>,&nbsp;</span><a class=\"ref\">Erlandson et al. 2007</a><span>,&nbsp;</span><a class=\"ref\">Piper et al. 2008</a><span>). In Wisconsin, where nesting Bald Eagles are abundant (&gt;1200 nesting pairs, &gt;1 young/pair/year), field biologists observed four instances of eagle predation of eggs in loon nests during the period 2002&ndash;2004 (M. Meyer pers. comm.). In addition, four cases of eagle predation of incubating adult loons were inferred from evidence found at the loon nest (dozens of plucked adult loon feathers, no carcass remains) and/or loon leg, neck, and skull bones beneath two active eagle nests, including leg bones containing the bands of the nearby (&lt;25&nbsp;m) incubating adult loon. However, although loon egg predation has been associated with Bald Eagles, predation events have yet to be described in peer-reviewed literature. Here we describe a photographic observation of predation on a Common Loon egg by an immature Bald Eagle as captured by a nest surveillance video camera on Lake Umbagog, a large lake (32&nbsp;km</span><sup>2</sup><span>) at Umbagog National Wildlife Refuge (UNWR) in Maine.</span></p>","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/JRR-09-72.1","usgsCitation":"DeStefano, S., McCarthy, K.P., and Laskowski, T., 2010, Bald eagle predation on common loon egg: Journal of Raptor Research, v. 44, no. 3, p. 249-251, https://doi.org/10.3356/JRR-09-72.1.","productDescription":"2 p.","startPage":"249","endPage":"251","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010180","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Lake Umbagog","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.09630584716797,\n              44.70062975596728\n            ],\n            [\n              -71.09630584716797,\n              44.78354083744795\n            ],\n            [\n              -71.01408004760742,\n              44.78354083744795\n            ],\n            [\n              -71.01408004760742,\n              44.70062975596728\n            ],\n            [\n              -71.09630584716797,\n              44.70062975596728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d4572de4b0518e354694ab","contributors":{"authors":[{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":2874,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":567841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Kyle P.","contributorId":146574,"corporation":false,"usgs":false,"family":"McCarthy","given":"Kyle","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":568336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laskowski, Tom","contributorId":146575,"corporation":false,"usgs":false,"family":"Laskowski","given":"Tom","email":"","affiliations":[],"preferred":false,"id":568337,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156079,"text":"70156079 - 2010 - King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research","interactions":[],"lastModifiedDate":"2015-08-19T12:02:43","indexId":"70156079","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research","docAbstract":"<p><span>The use of stored nutrients for reproduction represents an important component of life-history variation. Recent studies from several species have used stable isotopes to estimate the reliance on stored body reserves in reproduction. Such approaches rely on population-level dietary endpoints to characterize stored reserves (&ldquo;capital&rdquo;) and current diet (&ldquo;income&rdquo;). Individual variation in diet choice has so far not been incorporated in such approaches, but is crucial for assessing variation in nutrient allocation strategies. We investigated nutrient allocation to egg production in a large-bodied sea duck in northern Alaska, the king eider (</span><i class=\"EmphasisTypeItalic\">Somateria spectabilis</i><span>). We first used Bayesian isotopic mixing models to quantify at the population level the amount of endogenous carbon and nitrogen invested into egg proteins based on carbon and nitrogen isotope ratios. We then defined the isotopic signature of the current diet of every nesting female based on isotope ratios of eggshell membranes, because diets varied isotopically among individual king eiders on breeding grounds. We used these individual-based dietary isotope signals to characterize nutrient allocation for each female in the study population. At the population level, the Bayesian and the individual-based approaches yielded identical results, and showed that king eiders used an income strategy for the synthesis of egg proteins. The majority of the carbon and nitrogen in albumen (C: 86&nbsp;&plusmn;&nbsp;18%, N: 99&nbsp;&plusmn;&nbsp;1%) and the nitrogen in lipid-free yolk (90&nbsp;&plusmn;&nbsp;15%) were derived from food consumed on breeding grounds. Carbon in lipid-free yolk derived evenly from endogenous sources and current diet (exogenous C: 54&nbsp;&plusmn;&nbsp;24%), but source contribution was highly variable among individual females. These results suggest that even large-bodied birds traditionally viewed as capital breeders use exogenous nutrients for reproduction. We recommend that investigations of nutrient allocation should incorporate individual variation into mixing models to reveal intraspecific variation in reproductive strategies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-010-1619-z","usgsCitation":"Oppel, S., Powell, A., and O’Brien, D.M., 2010, King eider use an income strategy for egg production: a case study for incorporating individual dietary variation into nutrient allocation research: Oecologia, v. 164, no. 1, p. 1-12, https://doi.org/10.1007/s00442-010-1619-z.","productDescription":"12 p.","startPage":"1","endPage":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009260","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70193763,"text":"70193763 - 2010 - Combined use of frequency-domain electromagnetic and electrical resistivity surveys to delineate near-lake groundwater flow in the semi-arid Nebraska Sand Hills, USA","interactions":[],"lastModifiedDate":"2019-10-23T17:04:08","indexId":"70193763","displayToPublicDate":"2010-09-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Combined use of frequency-domain electromagnetic and electrical resistivity surveys to delineate near-lake groundwater flow in the semi-arid Nebraska Sand Hills, USA","docAbstract":"<p><span>A frequency-domain electromagnetic (FDEM) survey can be used to select locations for the more quantitative and labor-intensive electrical resistivity surveys. The FDEM survey rapidly characterized the groundwater-flow directions and configured the saline plumes caused by evaporation from several groundwater-dominated lakes in the Nebraska Sand Hills, USA. The FDEM instrument was mounted on a fiberglass cart and towed by an all-terrain vehicle, covering about 25&nbsp;km/day. Around the saline lakes, areas with high electrical conductivity are consistent with the regional and local groundwater flow directions. The efficacy of this geophysical approach is attributed to: the high contrast in electrical conductivity between various groundwater zones; the shallow location of the saline zones; minimal cultural interference; and relative homogeneity of the aquifer materials.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-010-0617-x","usgsCitation":"Ong, J.B., Lane, J.W., Zlotnik, V.A., Halihan, T., and White, E.A., 2010, Combined use of frequency-domain electromagnetic and electrical resistivity surveys to delineate near-lake groundwater flow in the semi-arid Nebraska Sand Hills, USA: Hydrogeology Journal, v. 18, no. 6, p. 1539-1545, https://doi.org/10.1007/s10040-010-0617-x.","productDescription":"7 p.","startPage":"1539","endPage":"1545","ipdsId":"IP-015945","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":349124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Nebraska Sand Hills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.8333,\n              41.6667\n            ],\n            [\n              -102.3333,\n              41.6667\n            ],\n            [\n              -102.3333,\n              42\n            ],\n            [\n              -102.8333,\n              42\n            ],\n            [\n              -102.8333,\n              41.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2010-06-09","publicationStatus":"PW","scienceBaseUri":"5a610aabe4b06e28e9c256c6","contributors":{"authors":[{"text":"Ong, John B. jbong@usgs.gov","contributorId":5190,"corporation":false,"usgs":true,"family":"Ong","given":"John","email":"jbong@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":720298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":720297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zlotnik, Vitaly A.","contributorId":19985,"corporation":false,"usgs":true,"family":"Zlotnik","given":"Vitaly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halihan, Todd","contributorId":68856,"corporation":false,"usgs":true,"family":"Halihan","given":"Todd","affiliations":[],"preferred":false,"id":720299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":720296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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