{"pageNumber":"1747","pageRowStart":"43650","pageSize":"25","recordCount":184652,"records":[{"id":70005047,"text":"sir20115126 - 2011 - Summary of the Georgia Agricultural Water Conservation and Metering Program and evaluation of methods used to collect and analyze irrigation data in the middle and lower Chattahoochee and Flint River basins, 2004-2010","interactions":[],"lastModifiedDate":"2017-01-17T11:21:19","indexId":"sir20115126","displayToPublicDate":"2011-08-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5126","title":"Summary of the Georgia Agricultural Water Conservation and Metering Program and evaluation of methods used to collect and analyze irrigation data in the middle and lower Chattahoochee and Flint River basins, 2004-2010","docAbstract":"Since receiving jurisdiction from the State Legislature in June 2003 to implement the Georgia Agricultural Water Conservation and Metering Program, the Georgia Soil and Water Conservation Commission (Commission) by year-end 2010 installed more than 10,000 annually read water meters and nearly 200 daily reporting, satellite-transmitted, telemetry sites on irrigation systems located primarily in southern Georgia. More than 3,000 annually reported meters and 50 telemetry sites were installed during 2010 alone. The Commission monitored rates and volumes of agricultural irrigation supplied by groundwater, surface-water, and well-to-pond sources to inform water managers on the patterns and amounts of such water use and to determine effective and efficient resource utilization.\r\n\r\n  Summary analyses of 4 complete years of irrigation data collected from annually read water meters in the middle and lower Chattahoochee and Flint River basins during 2007-2010 indicated that groundwater-supplied fields received slightly more irrigation depth per acre than surface-water-supplied fields. Year 2007 yielded the largest disparity between irrigation depth supplied by groundwater and surface-water sources as farmers responded to severe-to-exceptional drought conditions with increased irrigation. Groundwater sources (wells and well-to-pond systems) outnumbered surface-water sources by a factor of five; each groundwater source applied a third more irrigation volume than surface water; and, total irrigation volume from groundwater exceeded that of surface water by a factor of 6.7. Metered irrigation volume indicated a pattern of low-to-high water use from northwest to southeast that could point to relations between agricultural water use, water-resource potential and availability, soil type, and crop patterns.\r\n\r\n  Normalizing metered irrigation-volume data by factoring out irrigated acres allowed irrigation water use to be expressed as an irrigation depth and nearly eliminated the disparity between volumes of applied irrigation derived from groundwater and surface water. Analysis of per-acre irrigation depths provided a commonality for comparing irrigation practices across the entire range of field sizes in southern Georgia and indicated underreporting of irrigated acres for some systems. Well-to-pond systems supplied irrigation at depths similar to groundwater and can be combined with groundwater irrigation data for subsequent analyses. Average irrigation depths during 2010 indicated an increase from average irrigation depths during 2008 and 2009, most likely the result of relatively dry conditions during 2010 compared to conditions in 2008 and 2009.\r\n\r\n  Geostatistical models facilitated estimation of irrigation water use for unmetered systems and demonstrated usefulness in redesigning the telemetry network. Geospatial analysis evaluated the ability of the telemetry network to represent annually reported water-meter data and presented an objective, unbiased method for revising the network.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115126","usgsCitation":"Torak, L.J., and Painter, J.A., 2011, Summary of the Georgia Agricultural Water Conservation and Metering Program and evaluation of methods used to collect and analyze irrigation data in the middle and lower Chattahoochee and Flint River basins, 2004-2010: U.S. Geological Survey Scientific Investigations Report 2011-5126, v, 25 p.: Dowload Packet: Tables, https://doi.org/10.3133/sir20115126.","productDescription":"v, 25 p.: Dowload Packet: Tables","temporalStart":"2006-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116587,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5126.jpg"},{"id":24536,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5126/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","otherGeospatial":"Chattahoochee River Basin, Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86,30 ], [ -86,34 ], [ -80.75,34 ], [ -80.75,30 ], [ -86,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6986d3","contributors":{"authors":[{"text":"Torak, Lynn J. ljtorak@usgs.gov","contributorId":401,"corporation":false,"usgs":true,"family":"Torak","given":"Lynn","email":"ljtorak@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351894,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005071,"text":"ofr20111190 - 2011 - Evaluating trapping techniques to reduce potential for injury to Mexican wolves","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ofr20111190","displayToPublicDate":"2011-08-08T00:00:00","publicationYear":"2011","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":"2011-1190","title":"Evaluating trapping techniques to reduce potential for injury to Mexican wolves","docAbstract":"Increased scrutiny of furbearer trapping has resulted in more regulation and even prohibition of common trapping methods in some States. Concerns regarding the potential negative impacts of regulated furbearer trapping on reintroduced Mexican gray wolves (Canis lupus baileyi) led now former Governor Bill Richardson to issue an executive order prohibiting trapping in the New Mexico portion of the Blue Range Wolf Recovery Area (BRWRA). This ban was to last for at least 6 months and required an evaluation of the risk posed to wolves by traps and snares legally permitted in New Mexico. We reviewed various threats to wolves in the BRWRA, including threats posed by regulated furbearer trapping. Seventy-eight Mexican wolf mortalities were documented during the reintroduction effort (1998-2010). More than 80 percent of documented mortalities were human-caused: illegal shooting (47.4 percent), vehicle collisions (15.4 percent), lethal removal by the U.S. Fish and Wildlife Service (USFWS) (14.1 percent), nonproject-related trapping (2.6 percent), project-related trapping (1.3 percent), and legal shooting by the public (1.3 percent). The remaining 17.9 percent of mortalities were a result of natural causes. An additional 23 wolves were permanently removed from the wild by USFWS. Of 13 trapping incidents in New Mexico that involved trappers other than USFWS project personnel, 7 incidents resulted in injuries to wolves, 2 wolves sustained injuries severe enough to result in leg amputations, and 2 wolves died as a result of injuries sustained. Rubber-padded foothold traps and properly set snares would most likely reduce trap-related injuries to Mexican wolves; however, impacts caused by trapping are outnumbered by other, human-caused impacts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111190","usgsCitation":"Turnbull, T., Cain, J., and Roemer, G., 2011, Evaluating trapping techniques to reduce potential for injury to Mexican wolves: U.S. Geological Survey Open-File Report 2011-1190, iv, 11 p., https://doi.org/10.3133/ofr20111190.","productDescription":"iv, 11 p.","onlineOnly":"Y","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":116830,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1190.gif"},{"id":24533,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1190/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico;Arizona","otherGeospatial":"Blue Range Wolf Recovery Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.16666666666667,31.25 ], [ -115.16666666666667,37.083333333333336 ], [ -102.91666666666667,37.083333333333336 ], [ -102.91666666666667,31.25 ], [ -115.16666666666667,31.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db629677","contributors":{"authors":[{"text":"Turnbull, T.T.","contributorId":29122,"corporation":false,"usgs":true,"family":"Turnbull","given":"T.T.","email":"","affiliations":[],"preferred":false,"id":351926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, J.W. III","contributorId":70910,"corporation":false,"usgs":true,"family":"Cain","given":"J.W.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":351927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roemer, G.W.","contributorId":11320,"corporation":false,"usgs":true,"family":"Roemer","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":351925,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005062,"text":"sir20115104 - 2011 - A method for estimating peak and time of peak streamflow from excess rainfall for 10- to 640-acre watersheds in the Houston, Texas, metropolitan area","interactions":[],"lastModifiedDate":"2016-08-11T15:28:39","indexId":"sir20115104","displayToPublicDate":"2011-08-08T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5104","title":"A method for estimating peak and time of peak streamflow from excess rainfall for 10- to 640-acre watersheds in the Houston, Texas, metropolitan area","docAbstract":"<p>Estimates of peak and time of peak streamflow for small watersheds (less than about 640 acres) in a suburban to urban, low-slope setting are needed for drainage design that is cost-effective and risk-mitigated. During 2007-10, the U.S. Geological Survey (USGS), in cooperation with the Harris County Flood Control District and the Texas Department of Transportation, developed a method to estimate peak and time of peak streamflow from excess rainfall for 10- to 640-acre watersheds in the Houston, Texas, metropolitan area. To develop the method, 24 watersheds in the study area with drainage areas less than about 3.5 square miles (2,240 acres) and with concomitant rainfall and runoff data were selected. The method is based on conjunctive analysis of rainfall and runoff data in the context of the unit hydrograph method and the rational method. For the unit hydrograph analysis, a gamma distribution model of unit hydrograph shape (a gamma unit hydrograph) was chosen and parameters estimated through matching of modeled peak and time of peak streamflow to observed values on a storm-by-storm basis. Watershed mean or watershed-specific values of peak and time to peak (\"time to peak\" is a parameter of the gamma unit hydrograph and is distinct from \"time of peak\") of the gamma unit hydrograph were computed. Two regression equations to estimate peak and time to peak of the gamma unit hydrograph that are based on watershed characteristics of drainage area and basin-development factor (BDF) were developed. For the rational method analysis, a lag time (time-R), volumetric runoff coefficient, and runoff coefficient were computed on a storm-by-storm basis. Watershed-specific values of these three metrics were computed. A regression equation to estimate time-R based on drainage area and BDF was developed. Overall arithmetic means of volumetric runoff coefficient (0.41 dimensionless) and runoff coefficient (0.25 dimensionless) for the 24 watersheds were used to express the rational method in terms of excess rainfall (the excess rational method). Both the unit hydrograph method and excess rational method are shown to provide similar estimates of peak and time of peak streamflow. The results from the two methods can be combined by using arithmetic means. A nomograph is provided that shows the respective relations between the arithmetic-mean peak and time of peak streamflow to drainage areas ranging from 10 to 640 acres. The nomograph also shows the respective relations for selected BDF ranging from undeveloped to fully developed conditions. The nomograph represents the peak streamflow for 1 inch of excess rainfall based on drainage area and BDF; the peak streamflow for design storms from the nomograph can be multiplied by the excess rainfall to estimate peak streamflow. Time of peak streamflow is readily obtained from the nomograph. Therefore, given excess rainfall values derived from watershed-loss models, which are beyond the scope of this report, the nomograph represents a method for estimating peak and time of peak streamflow for applicable watersheds in the Houston metropolitan area. Lastly, analysis of the relative influence of BDF on peak streamflow is provided, and the results indicate a 0:04log<sub>10</sub> cubic feet per second change of peak streamflow per positive unit of change in BDF. This relative change can be used to adjust peak streamflow from the method or other hydrologic methods for a given BDF to other BDF values; example computations are provided.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115104","collaboration":"Prepared in cooperation with the Harris County Flood Control District and the Texas Department of Transportation","usgsCitation":"Asquith, W.H., Cleveland, T., and Roussel, M.C., 2011, A method for estimating peak and time of peak streamflow from excess rainfall for 10- to 640-acre watersheds in the Houston, Texas, metropolitan area: U.S. Geological Survey Scientific Investigations Report 2011-5104, vi, 31 p.; Appendices, https://doi.org/10.3133/sir20115104.","productDescription":"vi, 31 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116586,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5104.gif"},{"id":24530,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5104/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"Houston","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.75,29.5 ], [ -95.75,30.25 ], [ -95,30.25 ], [ -95,29.5 ], [ -95.75,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae101","contributors":{"authors":[{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Theodore G.","contributorId":88029,"corporation":false,"usgs":true,"family":"Cleveland","given":"Theodore G.","affiliations":[],"preferred":false,"id":351915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roussel, Meghan C. mroussel@usgs.gov","contributorId":1578,"corporation":false,"usgs":true,"family":"Roussel","given":"Meghan","email":"mroussel@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":351914,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005078,"text":"ds625 - 2011 - Geodatabase of Wyoming statewide oil and gas drilling activity to 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ds625","displayToPublicDate":"2011-08-08T00:00:00","publicationYear":"2011","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":"625","title":"Geodatabase of Wyoming statewide oil and gas drilling activity to 2010","docAbstract":"The U.S. Geological Survey (USGS) compiled a geographic information system (GIS) of Wyoming statewide historical oil and gas drilling activity for the Wyoming Landscape Conservation Initiative (WLCI). The WLCI is representative of the partnerships being formed by the USGS with other Department of the Interior bureaus, State and local agencies, industry, academia, and private landowners that are committed to maintaining healthy landscapes, sustaining wildlife, and preserving recreational and grazing uses as energy resources development progresses in southwestern Wyoming. This product complements the 2009 USGS publication on oil and gas development in southwestern Wyoming http://pubs.usgs.gov/ds/437/) by approximating, based on database attributes, the time frame of drilling activity for each well (start and stop dates). This GIS product also adds current oil and gas drilling activity not only in the area encompassing the WLCI, but also statewide. Oil and gas data, documentation, and spatial data processing capabilities are available and can be downloaded from the USGS website. These data originated from the Wyoming Oil and Gas Conservation Commission (WOGCC), represent decades of oil and gas drilling (1900 to 2010), and will facilitate a landscape-level approach to integrated science-based assessments, resource management and land-use decision making.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds625","usgsCitation":"Biewick, L., 2011, Geodatabase of Wyoming statewide oil and gas drilling activity to 2010: U.S. Geological Survey Data Series 625, Download Packets: PowerPoint Slideshow, GIS Data 1, Interactive Map, Data Documention, Table 1, https://doi.org/10.3133/ds625.","productDescription":"Download Packets: PowerPoint Slideshow, GIS Data 1, Interactive Map, Data Documention, Table 1","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_625.gif"},{"id":24534,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/625/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16666666666667,41 ], [ -111.16666666666667,45 ], [ -104,45 ], [ -104,41 ], [ -111.16666666666667,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1de4b07f02db6a9e07","contributors":{"authors":[{"text":"Biewick, Laura","contributorId":83148,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","affiliations":[],"preferred":false,"id":351949,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005080,"text":"ofr20101178 - 2011 - Geophysical data from offshore of the Gulf Islands National Seashore, Cat Island to Western Horn Island, Mississippi","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ofr20101178","displayToPublicDate":"2011-08-08T00:00:00","publicationYear":"2011","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":"2010-1178","title":"Geophysical data from offshore of the Gulf Islands National Seashore, Cat Island to Western Horn Island, Mississippi","docAbstract":"This report contains the geophysical and geospatial data that were collected along the western offshore side of the Gulf Islands of Mississippi on the research vessel Tommy Munro during two cruises in 2010. Geophysical data were collected by the U.S. Geological Survey in Woods Hole, Massachusetts, and St. Petersburg, Forida, in cooperation with the U.S. Army Corps of Engineers Mobile District. Bathymetric-sonar, sidescan-sonar, and Chirp seismic-reflection data were acquired with the following equipment, respectively: Systems Engineering and Assessment, Ltd., SwathPlus interferometric sonars; Klein 3000 and 3900 dual-frequency sidescan sonars; and an EdgeTech 512i Chirp sub-bottom profiling system. The long-term goals of this mapping effort are to produce high-quality, high-resolution geologic maps and interpretations that can be utilized to identify sand resources within the region, to better understand the Holocene evolution, and to anticipate future changes in this coastal system. Processed geospatial data files and the geophysical data provided in this report help attain these goals.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101178","usgsCitation":"Pendleton, E., Baldwin, W.E., Danforth, W.W., DeWitt, N.T., Forde, A., Foster, D., Kelso, K., Pfeiffer, W., Turecek, A., Flocks, J.G., and Twichell, D., 2011, Geophysical data from offshore of the Gulf Islands National Seashore, Cat Island to Western Horn Island, Mississippi: U.S. Geological Survey Open-File Report 2010-1178, HTML Document, https://doi.org/10.3133/ofr20101178.","productDescription":"HTML Document","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1178.gif"},{"id":24537,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1178/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Mississippi","otherGeospatial":"Gulf Islands Of Mississippi;Gulf Of Mexico","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-88.89846896502358, 30.095440814293276], [-88.9901332855224, 30.093423843383903], [-89.02502050282622, 30.11666261023037], [-89.05138195246677, 30.1576140445776], [-89.08123207092285, 30.16199684143065], [-89.07829284667962, 30.192617416381815], [-89.06209945678705, 30.21360206604013], [-89.04322242736815, 30.2271060943604], [-88.9963771208042, 30.217937613535003], [-88.98709258508171, 30.195389455351954], [-88.95724943454536, 30.19920274680929], [-88.95559148173776, 30.194560478948173], [-88.88153072982306, 30.228548511503494], [-88.80085219577393, 30.225285253401353], [-88.79057543879905, 30.222745676676997], [-88.78958066711459, 30.218600794658013], [-88.77126028859078, 30.22374044836153], [-88.63583870326757, 30.21246636927008], [-88.638988813602, 30.200529109055466], [-88.70978339848568, 30.203347628828226], [-88.71094396545097, 30.15954451565199], [-88.8521291840517, 30.16037349205572], [-88.85345554629777, 30.112683523492034], [-88.86812842864487, 30.103896373611956], [-88.89846896502358, 30.095440814293276]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-89.08213806152342, 30.093019485473658, -88.63583870326757, 30.22929954528814], \"type\": \"Feature\", \"id\": \"3091920\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c1bf","contributors":{"authors":[{"text":"Pendleton, E.A.","contributorId":9742,"corporation":false,"usgs":true,"family":"Pendleton","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":351962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, W. E.","contributorId":47034,"corporation":false,"usgs":true,"family":"Baldwin","given":"W.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":351966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danforth, W. W.","contributorId":16386,"corporation":false,"usgs":true,"family":"Danforth","given":"W.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":351964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWitt, N. T.","contributorId":104928,"corporation":false,"usgs":true,"family":"DeWitt","given":"N.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Forde, A.S.","contributorId":85464,"corporation":false,"usgs":true,"family":"Forde","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":351968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foster, D.S.","contributorId":30641,"corporation":false,"usgs":true,"family":"Foster","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":351965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelso, K.W.","contributorId":92381,"corporation":false,"usgs":true,"family":"Kelso","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":351971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pfeiffer, W.R.","contributorId":91363,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":351969,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Turecek, A.M.","contributorId":15068,"corporation":false,"usgs":true,"family":"Turecek","given":"A.M.","affiliations":[],"preferred":false,"id":351963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Flocks, J. G.","contributorId":92309,"corporation":false,"usgs":true,"family":"Flocks","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":351970,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Twichell, D.C.","contributorId":84304,"corporation":false,"usgs":true,"family":"Twichell","given":"D.C.","affiliations":[],"preferred":false,"id":351967,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70005061,"text":"ofr20111183 - 2011 - Wave exposure of Corte Madera Marsh, Marin County, California: A field investigation","interactions":[],"lastModifiedDate":"2024-03-01T21:40:05.594131","indexId":"ofr20111183","displayToPublicDate":"2011-08-07T00:00:00","publicationYear":"2011","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":"2011-1183","title":"Wave exposure of Corte Madera Marsh, Marin County, California: A field investigation","docAbstract":"<p>Tidal wetlands provide valuable habitat, are an important source of primary productivity, and can help to protect the shoreline from erosion by attenuating approaching waves. These functions are threatened by the loss of tidal marshes, whether due to erosion, sea-level rise, or land-use practices. Erosion protection by wetlands is expected to vary geographically, because wave attenuation in marshes depends on vegetation type, density, and height and wave attenuation over mudflats depends on slope and sediment properties. In macrotidal northern European marshes, a 50 percent reduction in wave height within tens of meters of vegetated salt marsh has been observed. This study was designed to evaluate the role of mudflats and marshes in attenuating waves at a site in San Francisco Bay.</p><p>In prehistoric times, the shoreline of San Francisco Bay was ringed with tidal wetlands, with mudflats at lower elevations and marshes above. Most of the marshes around the Bay emerged 2,000–4,000 years ago, after the rate of sea-level rise slowed to approximately 1 mm/year. Approximately 80 percent of the acreage of tidal marsh and 40 percent of the acreage of tidal mudflats in San Francisco Bay have been lost to filling and draining since 1800. Tidal wetlands are particularly susceptible to impacts from sea-level rise because the vegetation at each elevation is adapted to a specific tidal-inundation regime. The maintenance of suitable marsh-plain elevations depends on a supply of sediment that can keep up with the rate of sea-level rise. Sea-level rise, which according to recent projections may reach 75 to 190 cm by the year 2100, poses a significant threat to wetlands in San Francisco Bay, where landward migration is frequently impossible due to urbanization of the adjacent landscape.</p><p>In this study, we collected data in Corte Madera Bay and Marsh to determine whether, and to what degree, waves are attenuated as they transit the Bay and, during high tides, the marsh. Corte Madera Bay was selected as a study site because of its exposure to wind waves, as well as its history of shoreline erosion and marsh restoration and monitoring. Data were collected in the winter of 2010, along a cross-shore transect extending from offshore of the subtidal mudflats into the tidal marsh. This study forms part of the Innovative Wetland Adaptation in the Lower Corte Madera Creek Watershed Project initiated by the Bay Conservation and Development Commission (BCDC) (<a rel=\"noopener\" href=\"http://www.bcdc.ca.gov/planning/climate_change/WetlandAdapt.shtml\" target=\"_blank\" data-mce-href=\"http://www.bcdc.ca.gov/planning/climate_change/WetlandAdapt.shtml\">http://www.bcdc.ca.gov/planning/climate_change/WetlandAdapt.shtml</a>).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111183","collaboration":"In cooperation with the San Francisco Bay Conservation and Development Commission","usgsCitation":"Lacy, J.R., and Hoover, D.J., 2011, Wave exposure of Corte Madera Marsh, Marin County, California: A field investigation: U.S. Geological Survey Open-File Report 2011-1183, vi, 28p., https://doi.org/10.3133/ofr20111183.","productDescription":"vi, 28p.","onlineOnly":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":426213,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95409.htm"},{"id":24529,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1183/","linkFileType":{"id":5,"text":"html"}},{"id":116178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1183.gif"}],"country":"United States","state":"California","county":"Marin County","otherGeospatial":"Corte Madera Bay, Corte Madera Marsh","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.75,37.75 ], [ -112.75,38 ], [ -112.25,38 ], [ -112.25,37.75 ], [ -112.75,37.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dfe4b07f02db5e3b3b","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172 jlacy@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":3158,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"jlacy@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, Daniel J. 0000-0002-2927-6196 dhoover@usgs.gov","orcid":"https://orcid.org/0000-0002-2927-6196","contributorId":4671,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","email":"dhoover@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351912,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005060,"text":"sir20115071 - 2011 - Water availability and use pilot: Methods development for a regional assessment of groundwater availability, southwest alluvial basins, Arizona","interactions":[],"lastModifiedDate":"2021-12-15T21:50:54.643853","indexId":"sir20115071","displayToPublicDate":"2011-08-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5071","title":"Water availability and use pilot: Methods development for a regional assessment of groundwater availability, southwest alluvial basins, Arizona","docAbstract":"Executive Summary:\n  Arizona is located in an arid to semiarid region in the southwestern United States and is one of the fastest growing States in the country. Population in Arizona surpassed 6.5 million people in 2008, an increase of 140 percent since 1980, when the last regional U.S. Geological Survey (USGS) groundwater study was done as part of the Regional Aquifer System Analysis (RASA) program. The alluvial basins of Arizona are part of the Basin and Range Physiographic Province and cover more than 73,000 mi<sup>2</sup>, 65 percent of the State's total land area. More than 85 percent of the State's population resides within this area, accounting for more than 95 percent of the State's groundwater use. Groundwater supplies in the area are expected to undergo further stress as an increasing population vies with the State's important agricultural sector for access to these limited resources. \n\n  To provide updated information to stakeholders addressing issues surrounding limited groundwater supplies and projected increases in groundwater use, the USGS Groundwater Resources Program instituted the Southwest Alluvial Basins Groundwater Availability and Use Pilot Program to evaluate the availability of groundwater resources in the alluvial basins of Arizona. The principal products of this evaluation of groundwater resources are updated groundwater budget information for the study area and a proof-of-concept groundwater-flow model incorporating several interconnected groundwater basins. This effort builds on previous research on the assessment and mapping of groundwater conditions in the alluvial basins of Arizona, also supported by the USGS Groundwater Resources Program. \n\n  Regional Groundwater Budget:\n  The Southwest Alluvial Basins-Regional Aquifer System Analysis (SWAB-RASA) study produced semiquantitative groundwater budgets for each of the alluvial basins in the SWAB-RASA study area. The pilot program documented in this report developed new quantitative estimates of groundwater budget components using recent (2000-2007) data and methods of data analysis. Estimates of inflow components, including mountain-front recharge, incidental recharge from irrigation of agriculture, managed recharge from recharge facilities, interbasin underflow from upgradient basins, and streamflow losses, are quantified for recent time periods. Mountain-front recharge is the greatest inflow component to the groundwater system and was estimated using two methods: a basin characteristic model and new precipitation information used in a previously developed regression equation. Annual mountain-front recharge for the study area for 1940-2007 estimated by the two methods is 730,000 acre-ft for the basin characteristic model and 643,000 acre-ft for the regression equation, representing 1.5 percent and 1.3 percent of precipitation, respectively. Outflow components, including groundwater withdrawals, evapotranspiration, and interbasin flow to downgradient basins, are also presented for recent time periods. Groundwater withdrawals accounted for the largest share of the water budget, with nearly 2.4 million acre-ft per year withdrawn from the study area in recent years. Evapotranspiration from groundwater was estimated at nearly 1.3 million acre-ft per year for the study area using a newly developed method incorporating vegetation indices from satellite images and land cover information. For water-budget components with temporal variation that could be assessed from available data, estimates for intervening time periods since before development were also developed. An estimate of aquifer storage change, representing both gains to and losses from the groundwater system since before development, was derived for the most developed basins in the study area using available estimates of groundwater-level changes and storage coefficients. An overall storage loss of 74.5 million acre-ft was estimated for these basins within the study area. \n\n  Demonstration","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115071","collaboration":"National Water Availability and Use Pilot Program","usgsCitation":"Tillman, F., Cordova, J., Leake, S.A., Thomas, B.E., and Callegary, J.B., 2011, Water availability and use pilot: Methods development for a regional assessment of groundwater availability, southwest alluvial basins, Arizona: U.S. Geological Survey Scientific Investigations Report 2011-5071, ix, 76 p., https://doi.org/10.3133/sir20115071.","productDescription":"ix, 76 p.","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":116148,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5071.gif"},{"id":392973,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95406.htm"},{"id":24528,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5071/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Southwest Alluvial Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115,31.25 ], [ -115,36.5 ], [ -109,36.5 ], [ -109,31.25 ], [ -115,31.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa2f4","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cordova, Jeffrey T. jcordova@usgs.gov","contributorId":1845,"corporation":false,"usgs":true,"family":"Cordova","given":"Jeffrey T.","email":"jcordova@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":351908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Blakemore E.","contributorId":93871,"corporation":false,"usgs":true,"family":"Thomas","given":"Blakemore","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":351910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351909,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005059,"text":"fs20113049 - 2011 - From ridge to reef&mdash;linking erosion and changing watersheds to impacts on the coral reef ecosystems of Hawai&#8216;i and the Pacific Ocean","interactions":[],"lastModifiedDate":"2018-01-04T12:55:48","indexId":"fs20113049","displayToPublicDate":"2011-08-05T00:00:00","publicationYear":"2011","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":"2011-3049","title":"From ridge to reef&mdash;linking erosion and changing watersheds to impacts on the coral reef ecosystems of Hawai&#8216;i and the Pacific Ocean","docAbstract":"<p>Coral reef ecosystems are threatened by unprecedented watershed changes in the United States and worldwide. These ecosystems sustain fishing and tourism industries essential to the economic survival of many communities. Sediment, nutrients, and pollutants from watersheds are increasingly transported to coastal waters, where these contaminants damage corals. Although pollution from watersheds is one of many factors threatening coral survival, it is one that local people can have a profound influence on. U.S. Geological Survey scientists are using mapping, monitoring, and computer modeling to better forecast the effects of watershed changes on reef health. Working with communities in Hawai&lsquo;i and on other U.S. islands in the Pacific, they are helping to provide the science needed to make informed decisions on watershed and coral reef management.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113049","usgsCitation":"Stock, J., Cochran, S., Field, M.E., Jacobi, J.D., and Tribble, G., 2011, From ridge to reef&mdash;linking erosion and changing watersheds to impacts on the coral reef ecosystems of Hawai&#8216;i and the Pacific Ocean: U.S. Geological Survey Fact Sheet 2011-3049, 4 p., https://doi.org/10.3133/fs20113049.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":116741,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3049.gif"},{"id":24527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3049/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Guam;U.S. Pacific Islands","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b44d0","contributors":{"authors":[{"text":"Stock, Jonathan D.","contributorId":94167,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan D.","affiliations":[],"preferred":false,"id":351905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":351903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":351902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tribble, Gordon","contributorId":32632,"corporation":false,"usgs":true,"family":"Tribble","given":"Gordon","affiliations":[],"preferred":false,"id":351904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005055,"text":"ds622 - 2011 - Geophysical logs and water-quality data collected for boreholes Kimama-1A and -1B, and a Kimama water supply well near Kimama, southern Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ds622","displayToPublicDate":"2011-08-05T00:00:00","publicationYear":"2011","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":"622","title":"Geophysical logs and water-quality data collected for boreholes Kimama-1A and -1B, and a Kimama water supply well near Kimama, southern Idaho","docAbstract":"In September 2010, a research consortium led by scientists from Utah State University began drilling the first of three continuously cored boreholes on the Snake River Plain in southern Idaho. The goals of this effort, the Snake River Scientific Drilling Project, are to study the interaction between the Earth's crust and mantle, to identify potential geothermal energy sources, and to track the evolution of the Yellowstone hotspot on the Snake River Plain.\n\n  The first borehole, located near Kimama, Idaho, is about 50 miles southwest of the U.S. Department of Energy's Idaho National Laboratory. Because geohydrologic data are scarce for that area of the central Snake River Plain, the Kimama borehole, completed in January 2011, provided a unique opportunity to collect geophysical and water-chemistry data from the eastern Snake River Plain aquifer system, downgradient of the laboratory. Therefore, in conjunction with the Snake River Scientific Drilling Project, scientists from the U.S. Geological Survey's Idaho National Laboratory Project Office conducted geophysical logging and collected water samples at the Kimama site. Wireline geophysical logs were collected for the diverging borehole, Kimama-1A and -1B, from land surface to 976 and 2,498 feet below land surface (BLS), respectively. Water samples were collected from Kimama-1A at depths near 460 and 830 feet BLS, and from the Kimama Water Supply (KWS) well located about 75 feet away.\n\n  Geophysical log data included a composite of natural gamma, neutron, gamma-gamma dual density, and gyroscopic analysis for boreholes Kimama-1A and -1B. Geophysical logs depicted eight sediment layers (excluding surficial sediment) ranging from 4 to 60 feet in thickness. About 155 individual basalt flows were identified, ranging from less than 3 feet to more than 175 feet in thickness (averaging 15 feet) for borehole Kimama-1B (0 to 2,498 feet BLS). Sediment and basalt contacts were selected based on geophysical traces and were confirmed with visual inspection of core photographs. Temperature logs from the water table surface (about 260 feet BLS) to the bottom of borehole Kimama-1B (2,498 feet BLS) were nearly isothermal, ranging from about 62 to 64 degrees Fahrenheit. Gyroscopic data revealed that borehole Kimama-1B begins to separate from borehole Kimama-1A near a depth of 676 feet BLS. Drillhole azimuth and horizontal deviation at total logged depth for boreholes Kimama-1A and -1B were 172.6 and 188.3 degrees and 25.9 and 82.0 feet, respectively.\n\n  Water samples were collected and analyzed for common ions; selected trace elements; nutrients; isotopes of hydrogen, oxygen, and carbon; and selected radionuclides. One set of water samples was collected from the KWS well and the two other sample sets were collected from borehole Kimama-1A near 460 and 830 feet BLS. With one exception, data for all three zones sampled near Kimama generally indicated that the water chemistry was similar. The exception was found in the deepest zone in borehole Kimama-1A (830 feet BLS) where concentrations probably were affected by the drilling mud. A comparison of the inorganic, organic, and stable chemistry data between the KWS well and the 460-foot zone in borehole Kimama-1A indicated similar chemistry of the aquifer water, except for some variability with nitrate plus nitrite, orthophosphate, iron, zinc, and carbon-14. Radionuclide concentrations were either less than reporting levels or at background levels for the eastern Snake River Plain aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds622","collaboration":"Prepared in cooperation with the U.S. Department of Energy (DOE//ID 22215)","usgsCitation":"Twining, B.V., and Bartholomay, R.C., 2011, Geophysical logs and water-quality data collected for boreholes Kimama-1A and -1B, and a Kimama water supply well near Kimama, southern Idaho: U.S. Geological Survey Data Series 622, iv, 16 p.; Appendices, https://doi.org/10.3133/ds622.","productDescription":"iv, 16 p.; Appendices","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":116585,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_622.jpg"},{"id":24525,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/622/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","country":"United States","state":"Idaho","county":"Lincoln","city":"Kimama","otherGeospatial":"Snake River Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.5,42 ], [ -115.5,45 ], [ -111,45 ], [ -111,42 ], [ -115.5,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c151","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351895,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005056,"text":"sir20115102 - 2011 - Distribution, persistence, and hydrologic characteristics of salmon spawning habitats in clearwater side channels of the Matanuska River, southcentral Alaska","interactions":[],"lastModifiedDate":"2018-05-06T10:51:18","indexId":"sir20115102","displayToPublicDate":"2011-08-05T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5102","title":"Distribution, persistence, and hydrologic characteristics of salmon spawning habitats in clearwater side channels of the Matanuska River, southcentral Alaska","docAbstract":"Turbid, glacially influenced rivers are often considered to be poor salmon spawning and rearing habitats and, consequently, little is known about salmon habitats that do occur within rivers of this type. To better understand salmon spawning habitats in the Matanuska River of southcentral Alaska, the distribution and characteristics of clearwater side-channel spawning habitats were determined and compared to spawning habitats in tributaries. More than 100 kilometers of clearwater side channels within the braided mainstem of the Matanuska River were mapped for 2006 from aerial images and ground-based surveys. In reaches selected for historical analysis, side channel locations shifted appreciably between 1949 and 2006, but the relative abundance of clearwater side channels was fairly stable during the same period. Geospatial analysis of side channel distribution shows side channels typically positioned along abandoned bars at the braid plain margin rather than on bars between mainstem channels, and shows a strong correlation of channel abundance with braid plain width. Physical and geomorphic characteristics of the channel and chemical character of the water measured at 19 side channel sites, 6 tributary sites, 4 spring sites, and 5 mainstem channel sites showed conditions suitable for salmon spawning in side channels and tributaries, and a correlation of side channel characteristics with the respective tributary or groundwater source water. Autumn-through-spring monitoring of intergravel water temperatures adjacent to salmon redds (nests) in three side channels and two tributaries indicate adequate accumulated thermal units for incubation and emergence of salmon in side channels and relatively low accumulated thermal units in tributaries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115102","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service and Chickaloon Village Traditional Council","usgsCitation":"Curran, J.H., McTeague, M.L., Burril, S., and Zimmerman, C.E., 2011, Distribution, persistence, and hydrologic characteristics of salmon spawning habitats in clearwater side channels of the Matanuska River, southcentral Alaska: U.S. Geological Survey Scientific Investigations Report 2011-5102, vi, 36 p.; Appendices; Download Packet: GIS Data 1, https://doi.org/10.3133/sir20115102.","productDescription":"vi, 36 p.; Appendices; Download Packet: GIS Data 1","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":116740,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5102.jpg"},{"id":24526,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5102/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Matanuska River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151,61 ], [ -151,62.5 ], [ -146.75,62.5 ], [ -146.75,61 ], [ -151,61 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63d94c","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":351898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McTeague, Monica L.","contributorId":82045,"corporation":false,"usgs":true,"family":"McTeague","given":"Monica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":351900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burril, Sean E.","contributorId":56183,"corporation":false,"usgs":true,"family":"Burril","given":"Sean E.","affiliations":[],"preferred":false,"id":351899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":351897,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005046,"text":"cir1196S - 2011 - Vanadium recycling in the United States in 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:15:54","indexId":"cir1196S","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"1196","chapter":"S","title":"Vanadium recycling in the United States in 2004","docAbstract":"As one of a series of reports that describe the recycling of metal commodities in the United States, this report discusses the flow of vanadium in the U.S. economy in 2004. This report includes a description of vanadium supply and demand in the United States and illustrates the extent of vanadium recycling and recycling trends.\n\n  In 2004, apparent vanadium consumption, by end use, in the United States was 3,820 metric tons (t) in steelmaking and 232 t in manufacturing, of which 17 t was for the production of superalloys and 215 t was for the production of other alloys, cast iron, catalysts, and chemicals. Vanadium use in steel is almost entirely dissipative because recovery of vanadium from steel scrap is chemically impeded under the oxidizing conditions in steelmaking furnaces. The greatest amount of vanadium recycling is in the superalloy, other-alloy, and catalyst sectors of the vanadium market. Vanadium-bearing catalysts are associated with hydrocarbon recovery and refining in the oil industry. \n\n  In 2004, 2,850 t of vanadium contained in alloy scrap and spent catalysts was recycled, which amounted to about 44 percent of U.S. domestic production. About 94 percent of vanadium use in the United States was dissipative (3,820 t in steel/4,050 t in steel+fabricated products).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1196S","collaboration":"Flow Studies for Recycling Metal Commodities in the United States","usgsCitation":"Goonan, T.G., 2011, Vanadium recycling in the United States in 2004 (Version 1.1 (revised October 2011)): U.S. Geological Survey Circular 1196, vi, 17 p., https://doi.org/10.3133/cir1196S.","productDescription":"vi, 17 p.","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":116738,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1196_S.gif"},{"id":24524,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/circ1196-S/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","edition":"Version 1.1 (revised October 2011)","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602c30","contributors":{"authors":[{"text":"Goonan, Thomas G. goonan@usgs.gov","contributorId":2761,"corporation":false,"usgs":true,"family":"Goonan","given":"Thomas","email":"goonan@usgs.gov","middleInitial":"G.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":351892,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005041,"text":"ofr20111167 - 2011 - USGS Methodology for Assessing Continuous Petroleum Resources","interactions":[],"lastModifiedDate":"2012-02-02T00:15:54","indexId":"ofr20111167","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"2011-1167","title":"USGS Methodology for Assessing Continuous Petroleum Resources","docAbstract":"The U.S. Geological Survey (USGS) has developed a new quantitative methodology for assessing resources in continuous (unconventional) petroleum deposits. Continuous petroleum resources include shale gas, coalbed gas, and other oil and gas deposits in low-permeability (\"tight\") reservoirs. The methodology is based on an approach combining geologic understanding with well productivities. The methodology is probabilistic, with both input and output variables as probability distributions, and uses Monte Carlo simulation to calculate the estimates. The new methodology is an improvement of previous USGS methodologies in that it better accommodates the uncertainties in undrilled or minimally drilled deposits that must be assessed using analogs. The publication is a collection of PowerPoint slides with accompanying comments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111167","usgsCitation":"Charpentier, R., and Cook, T.A., 2011, USGS Methodology for Assessing Continuous Petroleum Resources: U.S. Geological Survey Open-File Report 2011-1167, ii, 73 p.;, https://doi.org/10.3133/ofr20111167.","productDescription":"ii, 73 p.;","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116737,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1167.gif"},{"id":24522,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1167/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f036b","contributors":{"authors":[{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":351880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":351881,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005037,"text":"sir20105214 - 2011 - Application of the Local Grid Refinement package to an inset model simulating the interaction of lakes, wells, and shallow groundwater, northwestern Waukesha County, Wisconsin","interactions":[],"lastModifiedDate":"2023-12-14T19:49:37.26436","indexId":"sir20105214","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"2010-5214","title":"Application of the Local Grid Refinement package to an inset model simulating the interaction of lakes, wells, and shallow groundwater, northwestern Waukesha County, Wisconsin","docAbstract":"Groundwater use from shallow, high-capacity wells is expected to increase across southeastern Wisconsin in the next decade (2010-2020), owing to residential and business growth and the need for shallow water to be blended with deeper water of lesser quality, containing, for example, excessive levels of radium. However, this increased pumping has the potential to affect surface-water features. A previously developed regional groundwater-flow model for southeastern Wisconsin was used as the starting point for a new model to characterize the hydrology of part of northwestern Waukesha County, with a particular focus on the relation between the shallow aquifer and several area lakes. An inset MODFLOW model was embedded in an updated version of the original regional model. Modifications made within the inset model domain include finer grid resolution; representation of Beaver, Pine, and North Lakes by use of the LAK3 package in MODFLOW; and representation of selected stream reaches with the SFR package. Additionally, the inset model is actively linked to the regional model by use of the recently released Local Grid Refinement package for MODFLOW-2005, which allows changes at the regional scale to propagate to the local scale and vice versa. \r\n\r\n  The calibrated inset model was used to simulate the hydrologic system in the Chenequa area under various weather and pumping conditions. The simulated model results for base conditions show that groundwater is the largest inflow component for Beaver Lake (equal to 59 percent of total inflow). For Pine and North Lakes, it is still an important component (equal, respectively, to 16 and 5 percent of total inflow), but for both lakes it is less than the contribution from precipitation and surface water. Severe drought conditions (simulated in a rough way by reducing both precipitation and recharge rates for 5 years to two-thirds of base values) cause correspondingly severe reductions in lake stage and flows. The addition of a test well south of Chenequa at a pumping rate of 47 gal/min from a horizon approximately 200 feet below land surface has little effect on lake stages or flows even after 5 years of pumping. In these scenarios, the stage and the surface-water outflow from Pine Lake are simulated to decrease by only 0.03 feet and 3 percent, respectively, relative to base conditions. Likely explanations for these limited effects are the modest pumping rate simulated, the depth of the test well, and the large transmissivity of the unconsolidated aquifer, which allows the well to draw water from upstream along the bedrock valley and to capture inflow from the Bark River. However, if the pumping rate of the test well is assumed to increase to 200 gal/min, the decrease in simulated Pine Lake outflow is appreciably larger, dropping by 14 percent relative to base-flow conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105214","usgsCitation":"Feinstein, D.T., Dunning, C.P., Juckem, P., and Hunt, R.J., 2011, Application of the Local Grid Refinement package to an inset model simulating the interaction of lakes, wells, and shallow groundwater, northwestern Waukesha County, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2010-5214, vi, 30 p., https://doi.org/10.3133/sir20105214.","productDescription":"vi, 30 p.","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":423581,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95399.htm","linkFileType":{"id":5,"text":"html"}},{"id":24519,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5214/","linkFileType":{"id":5,"text":"html"}},{"id":116182,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5214.gif"}],"country":"United States","state":"Wisconsin","county":"Waukesha County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.4278,\n              43.1728\n            ],\n            [\n              -88.4278,\n              43.0833\n            ],\n            [\n              -88.3231,\n              43.0833\n            ],\n            [\n              -88.3231,\n              43.1728\n            ],\n            [\n              -88.4278,\n              43.1728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a8c0","contributors":{"authors":[{"text":"Feinstein, D. T.","contributorId":47328,"corporation":false,"usgs":true,"family":"Feinstein","given":"D.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunning, C. P.","contributorId":35792,"corporation":false,"usgs":true,"family":"Dunning","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":351869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juckem, P. F.","contributorId":24819,"corporation":false,"usgs":true,"family":"Juckem","given":"P. F.","affiliations":[],"preferred":false,"id":351868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, R. J.","contributorId":40164,"corporation":false,"usgs":true,"family":"Hunt","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":351870,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005040,"text":"ds607 - 2011 - Physical, chemical, and mineralogical data from surficial deposits, groundwater levels, and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ds607","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"607","title":"Physical, chemical, and mineralogical data from surficial deposits, groundwater levels, and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada","docAbstract":"This report presents data and describes the methods used to determine the physical attributes, as well as the chemical and mineralogical composition of surficial deposits; groundwater levels; and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada.\n\nThe results support studies that examine (1) the interaction between groundwater and the ground surface, and the transport of solutes through the unsaturated zone; (2) the potential for the accumulation of metals and metalloids in surface crusts; (3) emission of dust from metal-rich salt crust; and (4) the effects of metal-rich dusts on human and ecosystem health.\n\nThe evaporation of shallow (<3 to 4 m) groundwater in saline, arid environments commonly results in the accumulation of salt in the subsurface and (or) the formation of salt crusts at the ground surface. Ground-surface characteristics such as hardness, electrical conductivity, and mineralogy depend on the types and forms of these salt crusts. In the study area, salt crusts range from hard and bedded to soft and loose (Reynolds and others, 2009). Depending on various factors such as the depth and composition of groundwater and sediment characteristics of the unsaturated zone, salt crusts may accumulate relatively high contents of trace elements.\n\nSoft, loose salt crusts are highly vulnerable to wind erosion and transport. These vulnerable crusts, which may contain high contents of potentially toxic trace elements, can travel as atmospheric dust and affect human and ecosystem health at local to regional scales.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds607","usgsCitation":"Goldstein, H., Breit, G.N., Yount, J., Reynolds, R.L., Reheis, M., Skipp, G.L., Fisher, E.M., and Lamothe, P.J., 2011, Physical, chemical, and mineralogical data from surficial deposits, groundwater levels, and water composition in the area of Franklin Lake playa and Ash Meadows, California and Nevada: U.S. Geological Survey Data Series 607, v, 12 p.; Tables; Downloads Directory, https://doi.org/10.3133/ds607.","productDescription":"v, 12 p.; Tables; Downloads Directory","startPage":"i","endPage":"153","numberOfPages":"158","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":116739,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_607.png"},{"id":24521,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/607/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada;California;Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.91666666666667,33.5 ], [ -117.91666666666667,37.75 ], [ -114,37.75 ], [ -114,33.5 ], [ -117.91666666666667,33.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685a52","contributors":{"authors":[{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":351877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":351874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yount, James C.","contributorId":39341,"corporation":false,"usgs":true,"family":"Yount","given":"James C.","affiliations":[],"preferred":false,"id":351878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":351872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reheis, Marith C. 0000-0002-8359-323X","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":101244,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith C.","affiliations":[],"preferred":false,"id":351879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":351875,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Eric M.","contributorId":14262,"corporation":false,"usgs":true,"family":"Fisher","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351876,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lamothe, Paul J. plamothe@usgs.gov","contributorId":1298,"corporation":false,"usgs":true,"family":"Lamothe","given":"Paul","email":"plamothe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":351873,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003654,"text":"70003654 - 2011 - How will climate change affect the potential distribution of Eurasian tree sparrows Passer montanus in North America?","interactions":[],"lastModifiedDate":"2021-01-07T21:01:23.10755","indexId":"70003654","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1362,"text":"Current Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"How will climate change affect the potential distribution of Eurasian tree sparrows <i>Passer montanus</i> in North America?","title":"How will climate change affect the potential distribution of Eurasian tree sparrows Passer montanus in North America?","docAbstract":"<p><span>Habitat suitability models have been used to predict the present and future potential distribution of a variety of species. Eurasian tree sparrows&nbsp;</span><i>Passer montanus</i><span>, native to Eurasia, have established populations in other parts of the world. In North America, their current distribution is limited to a relatively small region around its original introduction to St. Louis, Missouri. We combined data from the Global Biodiversity Information Facility with current and future climate data to create habitat suitability models using Maxent for this species. Under projected climate change scenarios, our models show that the distribution and range of the Eurasian tree sparrow could increase as far as the Pacific Northwest and Newfoundland. This is potentially important information for prioritizing the management and control of this non-native species.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/czoolo/57.5.648","usgsCitation":"Graham, J., Jarnevich, C.S., Young, N., Newman, G., and Stohlgren, T.J., 2011, How will climate change affect the potential distribution of Eurasian tree sparrows Passer montanus in North America?: Current Zoology, v. 57, no. 5, p. 648-654, https://doi.org/10.1093/czoolo/57.5.648.","productDescription":"7 p.","startPage":"648","endPage":"654","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474940,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/czoolo/57.5.648","text":"Publisher Index Page"},{"id":204017,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-10-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a6da","contributors":{"authors":[{"text":"Graham, Jim","contributorId":37608,"corporation":false,"usgs":true,"family":"Graham","given":"Jim","email":"","affiliations":[],"preferred":false,"id":348193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":348191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Nick","contributorId":28489,"corporation":false,"usgs":true,"family":"Young","given":"Nick","email":"","affiliations":[],"preferred":false,"id":348192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Greg","contributorId":22636,"corporation":false,"usgs":true,"family":"Newman","given":"Greg","affiliations":[],"preferred":false,"id":348190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":348189,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005035,"text":"ofr20111173 - 2011 - The shallow stratigraphy and sand resources offshore of the Mississippi Barrier Islands","interactions":[],"lastModifiedDate":"2014-03-13T14:48:02","indexId":"ofr20111173","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"2011-1173","title":"The shallow stratigraphy and sand resources offshore of the Mississippi Barrier Islands","docAbstract":"<p>Coastal Mississippi is protected by a series of barrier islands ranging in length from 10-25 kilometers that are less than 2 kilometers wide. The majority of these islands comprise the Gulf Islands National Seashore (GUIS), an ecologically diverse shoreline that provides habitat for wildlife including migratory birds and endangered animals. The majority of GUIS is submerged, and aquatic environments include dynamic tidal inlets, ebb-tide deltas, and seagrass beds. The islands are in a state of decline, with land areas severely reduced during the past century by storms, sea-level rise, and human alteration. Morton (2008) estimates that since the mid-1800s up to 64 percent of island surface area has been lost. Heavy damage was inflicted in 2005 by Hurricane Katrina, which passed by as a Category 3 storm and battered the islands with winds of more than 160 kilometers per hour and a storm surge up to 9 meters.</p>\n<br/>\n<p>Since 2007, the U.S. Geological Survey (USGS), in collaboration with the National Park Service, has been mapping the seafloor and substrate around the islands as part of the USGS Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility project. The purpose of these investigations is to characterize the near-surface stratigraphy and identify the influence it may have on island evolution and fate. In 2009, this effort provided the basis for a collaborative effort with the U.S. Army Corps of Engineers (USACE) to expand the investigation outside of GUIS boundaries as part of the Mississippi Coastal Improvement Project (MsCIP). The MsCIP program consists of structural, nonstructural, and environmental project elements to restore portions of coastal Mississippi and GUIS affected by storm impact. The project includes the placement of sand along the islands, both on the present beaches and within the littoral zone, to mitigate shoreline erosion and breaching. This action requires the location and assessment of offshore sand or sediment deposits that can provide suitable material for shoreline renourishment. The geophysical and sample information collected by the USGS during geologic investigations provides this information.</p>\n<br/>\n<p>As part of the MsCIP program, in March 2010 the USGS mapped approximately 300 square kilometers of seafloor around GUIS. Interferometric swath bathymetry, sidescan sonar, and Chirp sub-bottom profiling were used to characterize seafloor elevations, texture, and the underlying stratigraphy. On the basis of this information, potential sediment resources were identified. The most promising offshore deposits for beach restoration include shoals, lowstand valley fill, tidal delta deposits, abandoned barrier deposits, and dredge spoil. Of these, lowstand valley fill deposits and dredge spoil are less desirable; lowstand deposits are buried under a 2- to 4-meter blanket of mud, and dredge spoil volume is small. A relict tidal delta and submerged shoals are the most desirable deposits; the tidal delta contains a large volume of material still exposed on the seafloor, and parts of submerged shoals have modest volume and thin mud cover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111173","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Twichell, D., Pendleton, E., Baldwin, W., Foster, D., Flocks, J., Kelso, K., DeWitt, N., Pfeiffer, W., Forde, A., Krick, J., and Baehr, J., 2011, The shallow stratigraphy and sand resources offshore of the Mississippi Barrier Islands (First posted August 4, 2011; Revised March 13, 2014, version 1.1): U.S. Geological Survey Open-File Report 2011-1173, 63 p., https://doi.org/10.3133/ofr20111173.","productDescription":"63 p.","numberOfPages":"65","temporalStart":"2007-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116736,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1173.gif"},{"id":24517,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1173/","linkFileType":{"id":5,"text":"html"}},{"id":283953,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1173/pdf/90171_twichell_ofr_final_withcover.pdf"}],"country":"United States","state":"Mississippi","otherGeospatial":"Mississippi Barrier Islands;Gulf Islands National Seashore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.2989,29.965 ], [ -89.2989,30.5493 ], [ -87.7993,30.5493 ], [ -87.7993,29.965 ], [ -89.2989,29.965 ] ] ] } } ] }","edition":"First posted August 4, 2011; Revised March 13, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a62e4b07f02db6363e0","contributors":{"authors":[{"text":"Twichell, David","contributorId":15871,"corporation":false,"usgs":true,"family":"Twichell","given":"David","affiliations":[],"preferred":false,"id":351853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pendleton, Elizabeth A. ependleton@usgs.gov","contributorId":2863,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","email":"ependleton@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":351852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Wayne","contributorId":45625,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","affiliations":[],"preferred":false,"id":351856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, David","contributorId":19473,"corporation":false,"usgs":true,"family":"Foster","given":"David","affiliations":[],"preferred":false,"id":351854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":351857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelso, Kyle","contributorId":68017,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","affiliations":[],"preferred":false,"id":351858,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeWitt, Nancy","contributorId":90708,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","affiliations":[],"preferred":false,"id":351860,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pfeiffer, William","contributorId":95801,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","affiliations":[],"preferred":false,"id":351861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Forde, Arnell 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":87860,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","affiliations":[],"preferred":false,"id":351859,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krick, Jason","contributorId":101989,"corporation":false,"usgs":true,"family":"Krick","given":"Jason","email":"","affiliations":[],"preferred":false,"id":351862,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baehr, John","contributorId":32452,"corporation":false,"usgs":true,"family":"Baehr","given":"John","affiliations":[],"preferred":false,"id":351855,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70004547,"text":"70004547 - 2011 - How restructuring river connectivity changes freshwater fish biodiversity and biogeography","interactions":[],"lastModifiedDate":"2021-05-21T19:32:27.547243","indexId":"70004547","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"How restructuring river connectivity changes freshwater fish biodiversity and biogeography","docAbstract":"Interbasin water transfer projects, in which river connectivity is restructured via man-made canals, are an increasingly popular solution to address the spatial mismatch between supply and demand of fresh water. However, the ecological consequences of such restructuring remain largely unexplored, and there are no general theoretical guidelines from which to derive these expectations. River systems provide excellent opportunities to explore how network connectivity shapes habitat occupancy, community dynamics, and biogeographic patterns. We apply a neutral model (which assumes competitive equivalence among species within a stochastic framework) to an empirically derived river network to explore how proposed changes in network connectivity may impact patterns of freshwater fish biodiversity. Without predicting the responses of individual extant species, we find the addition of canals connecting hydrologically isolated river basins facilitates the spread of common species and increases average local species richness without changing the total species richness of the system. These impacts are sensitive to the parameters controlling the spatial scale of fish dispersal, with increased dispersal affording more opportunities for biotic restructuring at the community and landscape scales. Connections between isolated basins have a much larger effect on local species richness than those connecting reaches within a river basin, even when those within-basin reaches are far apart. As a result, interbasin canal projects have the potential for long-term impacts to continental-scale riverine communities.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2010WR010330","usgsCitation":"Lynch, H.L., Campbell Grant, E.H., Muneepeerakul, R., Arunachalam, M., Rodriguez-Iturbe, I., and Fagan, W., 2011, How restructuring river connectivity changes freshwater fish biodiversity and biogeography: Water Resources Research, v. 47, W05531, 10 p., https://doi.org/10.1029/2010WR010330.","productDescription":"W05531, 10 p.","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204106,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2011-05-21","publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62bd75","contributors":{"authors":[{"text":"Lynch, Heather L.","contributorId":29274,"corporation":false,"usgs":true,"family":"Lynch","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":350682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muneepeerakul, Rachata","contributorId":66130,"corporation":false,"usgs":true,"family":"Muneepeerakul","given":"Rachata","email":"","affiliations":[],"preferred":false,"id":350686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arunachalam, Muthukumarasamy","contributorId":44046,"corporation":false,"usgs":true,"family":"Arunachalam","given":"Muthukumarasamy","email":"","affiliations":[],"preferred":false,"id":350685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Iturbe, Ignacio","contributorId":24234,"corporation":false,"usgs":true,"family":"Rodriguez-Iturbe","given":"Ignacio","email":"","affiliations":[],"preferred":false,"id":350683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":350687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70005036,"text":"ofr20111157 - 2011 - Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ofr20111157","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","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":"2011-1157","title":"Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration","docAbstract":"Interest in sharing interdisciplinary environmental modeling results and related data is increasing among scientists. The U.S. Geological Survey Geo Data Portal project enables data sharing by assembling open-standard Web services into an integrated data retrieval and analysis Web application design methodology that streamlines time-consuming and resource-intensive data management tasks. Data-serving Web services allow Web-based processing services to access Internet-available data sources. The Web processing services developed for the project create commonly needed derivatives of data in numerous formats. Coordinate reference system manipulation and spatial statistics calculation components implemented for the Web processing services were confirmed using ArcGIS 9.3.1, a geographic information science software package. Outcomes of the Geo Data Portal project support the rapid development of user interfaces for accessing and manipulating environmental data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111157","usgsCitation":"Blodgett, D.L., Booth, N., Kunicki, T.C., Walker, J.I., and Viger, R., 2011, Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration: U.S. Geological Survey Open-File Report 2011-1157, iv, 9 p., https://doi.org/10.3133/ofr20111157.","productDescription":"iv, 9 p.","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116183,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1157.gif"},{"id":24518,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1157/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66db36","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":351864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booth, Nathaniel L. nlbooth@usgs.gov","contributorId":651,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel L.","email":"nlbooth@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunicki, Thomas C. tkunicki@usgs.gov","contributorId":4609,"corporation":false,"usgs":true,"family":"Kunicki","given":"Thomas","email":"tkunicki@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":351866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":351867,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005030,"text":"70005030 - 2011 - Burn severity and non-native species in Yosemite National Park, California, USA","interactions":[],"lastModifiedDate":"2021-02-23T16:44:32.86269","indexId":"70005030","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Burn severity and non-native species in Yosemite National Park, California, USA","docAbstract":"<p><span>We examined non-native species density three years after the Tuolumne Fire, which burned 1540 ha in upper montane forest in California, USA. We sampled 60 plots, stratified by burn severity (low, moderate, or high severity) and landscape position (lowland or upland). We detected non-native species in 8 of 11 (73 %) of high severity lowland sites and in 5 of 10 (50 %) of moderate severity lowland sites but, overall, richness and abundance was low. We detected only five non-native species, of which bull thistle (</span><i>Cirsium vulgare</i><span>&nbsp;[Savi] Ten.) was the most common. Although non-native abundance is currently low, we recommend continued low intensity monitoring, especially on high severity burned lowland sites.</span></p>","language":"English","publisher":"Springer","doi":"10.4996/fireecology.0702145","usgsCitation":"Kaczynski, K.M., Beatty, S.W., van Wagtendonk, J., and Marshall, K.N., 2011, Burn severity and non-native species in Yosemite National Park, California, USA: Fire Ecology, v. 7, no. 2, p. 145-149, https://doi.org/10.4996/fireecology.0702145.","productDescription":"5 p.","startPage":"145","endPage":"149","numberOfPages":"5","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474941,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.0702145","text":"Publisher Index Page"},{"id":204095,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.16296386718749,\n              36.84006462037767\n            ],\n            [\n              -118.63037109375,\n              36.84006462037767\n            ],\n            [\n              -118.63037109375,\n              38.70694605159386\n            ],\n            [\n              -120.16296386718749,\n              38.70694605159386\n            ],\n            [\n              -120.16296386718749,\n              36.84006462037767\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-08-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f994e","contributors":{"authors":[{"text":"Kaczynski, Kristen M.","contributorId":88472,"corporation":false,"usgs":true,"family":"Kaczynski","given":"Kristen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":351840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beatty, Susan W.","contributorId":70530,"corporation":false,"usgs":true,"family":"Beatty","given":"Susan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":351839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Wagtendonk, Jan W. 0000-0002-0788-2654","orcid":"https://orcid.org/0000-0002-0788-2654","contributorId":98269,"corporation":false,"usgs":true,"family":"van Wagtendonk","given":"Jan W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":351841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marshall, Kristin N.","contributorId":27178,"corporation":false,"usgs":true,"family":"Marshall","given":"Kristin","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":351838,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003312,"text":"70003312 - 2011 - Accuracy of flowmeters measuring horizontal groundwater flow in an unconsolidated aquifer simulator.","interactions":[],"lastModifiedDate":"2013-02-24T11:13:29","indexId":"70003312","displayToPublicDate":"2011-08-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of flowmeters measuring horizontal groundwater flow in an unconsolidated aquifer simulator.","docAbstract":"Borehole flowmeters that measure horizontal flow velocity and direction of groundwater flow are being increasingly applied to a wide variety of environmental problems. This study was carried out to evaluate the measurement accuracy of several types of flowmeters in an unconsolidated aquifer simulator. Flowmeter response to hydraulic gradient, aquifer properties, and well-screen construction was measured during 2003 and 2005 at the U.S. Geological Survey Hydrologic Instrumentation Facility in Bay St. Louis, Mississippi. The flowmeters tested included a commercially available heat-pulse flowmeter, an acoustic Doppler flowmeter, a scanning colloidal borescope flowmeter, and a fluid-conductivity logging system. Results of the study indicated that at least one flowmeter was capable of measuring borehole flow velocity and direction in most simulated conditions. The mean error in direction measurements ranged from 15.1 degrees to 23.5 degrees and the directional accuracy of all tested flowmeters improved with increasing hydraulic gradient. The range of Darcy velocities examined in this study ranged 4.3 to 155 ft/d. For many plots comparing the simulated and measured Darcy velocity, the squared correlation coefficient (r<sup>2</sup>) exceeded 0.92. The accuracy of velocity measurements varied with well construction and velocity magnitude. The use of horizontal flowmeters in environmental studies appears promising but applications may require more than one type of flowmeter to span the range of conditions encountered in the field. Interpreting flowmeter data from field settings may be complicated by geologic heterogeneity, preferential flow, vertical flow, constricted screen openings, and nonoptimal screen orientation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water Monitoring and Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6592.2010.01324.x","usgsCitation":"Bayless, E., Mandell, W.A., and Ursic, J.R., 2011, Accuracy of flowmeters measuring horizontal groundwater flow in an unconsolidated aquifer simulator.: Ground Water Monitoring and Remediation, v. 31, no. 2, p. 48-62, https://doi.org/10.1111/j.1745-6592.2010.01324.x.","productDescription":"15 p.","startPage":"48","endPage":"62","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":203999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268116,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2010.01324.x"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-10","publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a33c7","contributors":{"authors":[{"text":"Bayless, E.R.","contributorId":67639,"corporation":false,"usgs":true,"family":"Bayless","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":346852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mandell, Wayne A.","contributorId":70443,"corporation":false,"usgs":true,"family":"Mandell","given":"Wayne","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":346853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ursic, James R.","contributorId":14863,"corporation":false,"usgs":true,"family":"Ursic","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":346851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208564,"text":"70208564 - 2011 - We thought trouble was coming","interactions":[],"lastModifiedDate":"2020-02-20T09:59:45","indexId":"70208564","displayToPublicDate":"2011-08-03T09:55:58","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"We thought trouble was coming","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Springer","doi":"10.1038/476007a","usgsCitation":"Funk, C., 2011, We thought trouble was coming: Nature, v. 476, https://doi.org/10.1038/476007a.","productDescription":"1 p.","startPage":"7","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/476007a","text":"Publisher Index Page"},{"id":372382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ethiopia, Kenya, Somalia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              31.904296874999996,\n              -6.446317749457633\n            ],\n            [\n              52.4267578125,\n              -6.446317749457633\n            ],\n            [\n              52.4267578125,\n              15.665354182093287\n            ],\n            [\n              31.904296874999996,\n              15.665354182093287\n            ],\n            [\n              31.904296874999996,\n              -6.446317749457633\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"476","noUsgsAuthors":false,"publicationDate":"2011-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782539,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70004541,"text":"70004541 - 2011 - Heightened exposure to parasites favors the evolution of immunity in brood parasitic cowbirds","interactions":[],"lastModifiedDate":"2021-02-23T16:35:05.92178","indexId":"70004541","displayToPublicDate":"2011-08-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1602,"text":"Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Heightened exposure to parasites favors the evolution of immunity in brood parasitic cowbirds","docAbstract":"<p><span>Immunologists and evolutionary biologists are interested in how the immune system evolves to fit an ecological niche. We studied the relationship between exposure to parasites and strength of immunity by investigating the response of two species of New World cowbirds (genus&nbsp;</span><i>Molothrus</i><span>, Icteridae), obligate brood parasites with contrasting life history strategies, to experimental arboviral infection. The South American shiny cowbird (</span><i>M. bonariensis</i><span>) is an&nbsp;</span><i>extreme host</i><span>-</span><i>generalist</i><span>&nbsp;that lays its eggs in the nests of &gt;225 different avian species. The Central American bronzed cowbird (</span><i>M. aeneus</i><span>) is a&nbsp;</span><i>relative host</i><span>-</span><i>specialist</i><span>&nbsp;that lays its eggs preferentially in the nests of approximately 12 orioles in a single sister genus. West Nile virus provided a strong challenge and delineated immune differences between these species. The extreme host-generalist shiny cowbird, like the North American host-generalist, the brown-headed cowbird, showed significantly lower viremia to three arboviruses than related icterid species that were not brood parasites. The bronzed cowbird showed intermediate viremia. These findings support the interpretation that repeated exposure to a high diversity of parasites favors the evolution of enhanced immunity in brood parasitic cowbirds and makes them useful models for future studies of innate immunity.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11692-011-9112-0","usgsCitation":"Hahn, C., and Reisen, W.K., 2011, Heightened exposure to parasites favors the evolution of immunity in brood parasitic cowbirds: Evolutionary Biology, v. 38, no. 2, p. 214-224, https://doi.org/10.1007/s11692-011-9112-0.","productDescription":"11 p.","startPage":"214","endPage":"224","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":203934,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-09","publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635e17","contributors":{"authors":[{"text":"Hahn, Caldwell 0000-0002-5242-2059 chahn@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":3203,"corporation":false,"usgs":true,"family":"Hahn","given":"Caldwell","email":"chahn@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":350659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reisen, William K.","contributorId":63142,"corporation":false,"usgs":true,"family":"Reisen","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":350660,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003318,"text":"70003318 - 2011 - Hair of the dog: obtaining samples from coyotes and wolves noninvasively","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"70003318","displayToPublicDate":"2011-08-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":100,"text":"Wildlife Society Bulletin","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"35(2)","title":"Hair of the dog: obtaining samples from coyotes and wolves noninvasively","docAbstract":"Canids can be difficult to detect and their populations difficult to monitor. We tested whether hair samples could be collected from coyotes (Canis latrans) in Texas, USA and gray wolves (C. lupus) in Montana, USA using lure to elicit rubbing behavior at both man-made and natural collection devices. We used mitochondrial and nuclear DNA to determine whether collected hair samples were from coyote, wolf, or nontarget species. Both coyotes and wolves rubbed on man-made barbed surfaces but coyotes in Texas seldom rubbed on hanging barbed surfaces. Wolves in Montana showed a tendency to rub at stations where natural-material collection devices (sticks and debris) were present. Time to detection was relatively short (5 nights and 4 nights for coyotes and wolves, respectively) with nontarget and unknown species comprising approximately 26% of the detections in both locations. Eliciting rubbing behavior from coyotes and wolves using lures has advantages over opportunistic genetic sampling methods (e.g., scat transects) because it elicits a behavior that deposits a hair sample at a fixed sampling location, thereby increasing the efficiency of sampling for these canids. Hair samples from rub stations could be used to provide estimates of abundance, measures of genetic diversity and health, and detection-nondetection data useful for cost-effective population monitoring.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Hoboken, NJ","usgsCitation":"Ausband, D., Young, J., Fannin, B., Mitchell, M.S., Stenglein, J., Waits, L.P., and Shivik, J.A., 2011, Hair of the dog: obtaining samples from coyotes and wolves noninvasively: Wildlife Society Bulletin 35(2), v. 35, no. 2, 7 p.","productDescription":"7 p.","startPage":"105","endPage":"111","costCenters":[{"id":204,"text":"Cooperative Research Unit Seattle","active":false,"usgs":true}],"links":[{"id":24490,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/wsb.23/abstract","linkFileType":{"id":5,"text":"html"}},{"id":204150,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas;Montana","volume":"35","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628f85","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":51441,"corporation":false,"usgs":true,"family":"Ausband","given":"David E.","affiliations":[],"preferred":false,"id":346874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Julie","contributorId":89657,"corporation":false,"usgs":true,"family":"Young","given":"Julie","affiliations":[],"preferred":false,"id":346878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fannin, Barbara","contributorId":28731,"corporation":false,"usgs":true,"family":"Fannin","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":346873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":346872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stenglein, Jennifer L.","contributorId":63146,"corporation":false,"usgs":true,"family":"Stenglein","given":"Jennifer L.","affiliations":[],"preferred":false,"id":346875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":346877,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shivik, John A.","contributorId":78459,"corporation":false,"usgs":true,"family":"Shivik","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":346876,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70004873,"text":"70004873 - 2011 - Conservation genetics of evolutionary lineages of the endangered mountain yellow-legged frog, Rana muscosa (Amphibia: Ranidae), in southern California","interactions":[],"lastModifiedDate":"2013-03-17T20:38:56","indexId":"70004873","displayToPublicDate":"2011-08-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation genetics of evolutionary lineages of the endangered mountain yellow-legged frog, Rana muscosa (Amphibia: Ranidae), in southern California","docAbstract":"Severe population declines led to the listing of southern California Rana muscosa (Ranidae) as endangered in 2002. Nine small populations inhabit watersheds in three isolated mountain ranges, the San Gabriel, San Bernardino and San Jacinto. One population from the Dark Canyon tributary in the San Jacinto Mountains has been used to establish a captive breeding population at the San Diego Zoo Institute for Conservation Research. Because these populations may still be declining, it is critical to gather information on how genetic variation is structured in these populations and what historical inter-population connectivity existed between populations. Additionally, it is not clear whether these populations are rapidly losing genetic diversity due to population bottlenecks. Using mitochondrial and microsatellite data, we examine patterns of genetic variation in southern California and one of the last remaining populations of R. muscosa in the southern Sierra Nevada. We find low levels of genetic variation within each population and evidence of genetic bottlenecks. Additionally, substantial population structure is evident, suggesting a high degree of historical isolation within and between mountain ranges. Based on estimates from a multi-population isolation with migration analysis, these populations diversified during glacial episodes of the Pleistocene, with little gene flow during population divergence. Our data demonstrate that unique evolutionary lineages of R. muscosa occupy each mountain range in southern California and should be managed separately. The captive breeding program at Dark Canyon is promising, although mitigating the loss of neutral genetic diversity relative to the natural population might require additional breeding frogs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2011.04.025","usgsCitation":"Schoville, S.D., Tustall, T.S., Vredenburg, V.T., Backlin, A.R., Gallegos, E., Wood, D.A., and Fisher, R.N., 2011, Conservation genetics of evolutionary lineages of the endangered mountain yellow-legged frog, Rana muscosa (Amphibia: Ranidae), in southern California: Biological Conservation, v. 144, no. 7, p. 2031-2040, https://doi.org/10.1016/j.biocon.2011.04.025.","productDescription":"10 p.","startPage":"2031","endPage":"2040","numberOfPages":"10","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":203935,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269534,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2011.04.025"}],"country":"United States","state":"California","volume":"144","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699da8","contributors":{"authors":[{"text":"Schoville, Sean D.","contributorId":31889,"corporation":false,"usgs":true,"family":"Schoville","given":"Sean","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":351544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tustall, Tate S.","contributorId":26418,"corporation":false,"usgs":true,"family":"Tustall","given":"Tate","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":351543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vredenburg, Vance T.","contributorId":104609,"corporation":false,"usgs":true,"family":"Vredenburg","given":"Vance","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallegos, Elizabeth 0000-0002-8402-2631 egallegos@usgs.gov","orcid":"https://orcid.org/0000-0002-8402-2631","contributorId":1528,"corporation":false,"usgs":true,"family":"Gallegos","given":"Elizabeth","email":"egallegos@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":351540,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70003939,"text":"70003939 - 2011 - Dynamics of a plant-herbivore-predator system with plant-toxicity","interactions":[],"lastModifiedDate":"2021-05-18T15:09:55.429348","indexId":"70003939","displayToPublicDate":"2011-08-03T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2698,"text":"Mathematical Biosciences","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of a plant-herbivore-predator system with plant-toxicity","docAbstract":"A system of ordinary differential equations is considered that models the interactions of two plant species populations, an herbivore population, and a predator population. We use a toxin-determined functional response to describe the interactions between plant species and herbivores and use a Holling Type II functional response to model the interactions between herbivores and predators. In order to study how the predators impact the succession of vegetation, we derive invasion conditions under which a plant species can invade into an environment in which another plant species is co-existing with a herbivore population with or without a predator population. These conditions provide threshold quantities for several parameters that may play a key role in the dynamics of the system. Numerical simulations are conducted to reinforce the analytical results. This model can be applied to a boreal ecosystem trophic chain to examine the possible cascading effects of predator-control actions when plant species differ in their levels of toxic defense.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.mbs.2010.12.005","usgsCitation":"Feng, Z., Qiu, Z., Liu, R., and DeAngelis, D.L., 2011, Dynamics of a plant-herbivore-predator system with plant-toxicity: Mathematical Biosciences, v. 229, no. 2, p. 190-204, https://doi.org/10.1016/j.mbs.2010.12.005.","productDescription":"15 p.","startPage":"190","endPage":"204","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":203869,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"229","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db63007b","contributors":{"authors":[{"text":"Feng, Zhilan","contributorId":30341,"corporation":false,"usgs":true,"family":"Feng","given":"Zhilan","affiliations":[],"preferred":false,"id":349613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qiu, Zhipeng","contributorId":7823,"corporation":false,"usgs":true,"family":"Qiu","given":"Zhipeng","email":"","affiliations":[],"preferred":false,"id":349612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Rongsong","contributorId":43480,"corporation":false,"usgs":false,"family":"Liu","given":"Rongsong","email":"","affiliations":[],"preferred":false,"id":349614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147273,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":349615,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}