{"pageNumber":"1927","pageRowStart":"48150","pageSize":"25","recordCount":185129,"records":[{"id":70118902,"text":"70118902 - 2010 - Modeling the dynamic geochemistry of prairie pothole wetlands","interactions":[],"lastModifiedDate":"2014-07-31T09:06:24","indexId":"70118902","displayToPublicDate":"2010-06-07T09:05:48","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Modeling the dynamic geochemistry of prairie pothole wetlands","docAbstract":"No abstract available.","largerWorkTitle":"3rd USGS Modeling Conference","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","usgsCitation":"Goldhaber, M., Mills, C., Stricker, C.A., LaBaugh, J.W., Mushet, D., and Euliss, N., 2010, Modeling the dynamic geochemistry of prairie pothole wetlands, <i>in</i> 3rd USGS Modeling Conference.","costCenters":[],"links":[{"id":291447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53db5846e4b0fba533fa358d","contributors":{"authors":[{"text":"Goldhaber, M.C.","contributorId":6772,"corporation":false,"usgs":true,"family":"Goldhaber","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":497372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, C.T.","contributorId":77395,"corporation":false,"usgs":true,"family":"Mills","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":497376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaBaugh, J. W.","contributorId":23484,"corporation":false,"usgs":true,"family":"LaBaugh","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":497373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, D. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":72723,"corporation":false,"usgs":true,"family":"Mushet","given":"D.","affiliations":[],"preferred":false,"id":497375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Euliss, N.H.","contributorId":27836,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","affiliations":[],"preferred":false,"id":497374,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98425,"text":"ofr20101108 - 2010 - Effects of building a sand barrier berm to mitigate the effects of the Deepwater Horizon oil spill on Louisiana marshes","interactions":[],"lastModifiedDate":"2023-12-06T15:03:02.711684","indexId":"ofr20101108","displayToPublicDate":"2010-06-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1108","title":"Effects of building a sand barrier berm to mitigate the effects of the Deepwater Horizon oil spill on Louisiana marshes","docAbstract":"<p>The State of Louisiana requested emergency authorization on May 11, 2010, to perform spill mitigation work on the Chandeleur Islands and on all the barrier islands from Grand Terre Island eastward to Sandy Point to enhance the capability of the islands to reduce the movement of oil from the Deepwater Horizon oil spill to the marshes. The proposed action-building a barrier berm (essentially an artificial island fronting the existing barriers and inlets) seaward of the existing barrier islands and inlets-'restores' the protective function of the islands but does not alter the islands themselves. Building a barrier berm to protect the mainland wetlands from oil is a new strategy and depends on the timeliness of construction to be successful. Prioritizing areas to be bermed, focusing on those areas that are most vulnerable and where construction can be completed most rapidly, may increase chances for success. For example, it may be easier and more efficient to berm the narrow inlets of the coastal section to the west of the Mississippi River Delta rather than the large expanses of open water to the east of the delta in the southern parts of the Breton National Wildlife Refuge (NWR). This document provides information about the potential available sand resources and effects of berm construction on the existing barrier islands.</p><p>The proposed project originally involved removing sediment from a linear source approximately 1 mile (1.6 km) gulfward of the barrier islands and placing it just seaward of the islands in shallow water (~2-m depth where possible) to form a continuous berm rising approximately 6 feet (~2 m) above sea level (North American Vertical Datum of 1988–NAVD88) with an ~110-yd (~100-m) width at water level and a slope of 25:1 to the seafloor. Discussions within the U.S. Geological Survey (USGS) and with others led to the determination that point-source locations, such as Hewes Point, the St. Bernard Shoals, and Ship Shoal, were more suitable \"borrow\" locations because sand content is insufficient along a linear track offshore from most of Louisiana's barrier islands. Further, mining sediment near the toe of the barrier island platform or edge of actively eroding barrier islands could create pits in the seafloor that will capture nearshore sand, thereby enhancing island erosion, and focus incoming waves (for example, through refraction processes) that could yield hotspots of erosion. In the Breton NWR, the proposed berm would be continuous from just south of Hewes Point to Breton Island for approximately 100 km with the exception of several passages for vessel access. Proposed volume estimates by sources outside of the USGS suggest that the structure in the Breton NWR would contain approximately 56 million cubic yards (42.8 m<sup>3</sup>) of sandy material. In the west, the berm would require approximately 36 million cubic yards (27.5 m<sup>3</sup>) of sandy material because this area has less open water than the area to the east of the delta. The planned berm is intended to protect the islands and inland areas from oil and would be sacrificial; that is, it will rapidly erode through natural processes. It is not part of the coastal restoration plan long discussed in Louisiana to rebuild barrier islands for hurricane protection of mainland infrastructure and habitat.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101108","usgsCitation":"Lavoie, D., Flocks, J.G., Kindinger, J.L., Sallenger, A.H., and Twichell, D.C., 2010, Effects of building a sand barrier berm to mitigate the effects of the Deepwater Horizon oil spill on Louisiana marshes: U.S. Geological Survey Open-File Report 2010-1108, iv, 7 p., https://doi.org/10.3133/ofr20101108.","productDescription":"iv, 7 p.","onlineOnly":"N","costCenters":[{"id":330,"text":"Gulf Coast U.S. Geological Survey","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":423271,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_96732.htm","linkFileType":{"id":5,"text":"html"}},{"id":13690,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1108/","linkFileType":{"id":5,"text":"html"}},{"id":125355,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1108.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92,28.5 ], [ -92,30.5 ], [ -88,30.5 ], [ -88,28.5 ], [ -92,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db6251f0","contributors":{"authors":[{"text":"Lavoie, Dawn","contributorId":43881,"corporation":false,"usgs":true,"family":"Lavoie","given":"Dawn","affiliations":[],"preferred":false,"id":305273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":305269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H. Jr.","contributorId":8818,"corporation":false,"usgs":true,"family":"Sallenger","given":"A.","suffix":"Jr.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":305271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twichell, David C.","contributorId":37730,"corporation":false,"usgs":true,"family":"Twichell","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":305272,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98427,"text":"ofr20101087 - 2010 - Flood of June 8-9, 2008, Upper Iowa River, Northeast Iowa","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20101087","displayToPublicDate":"2010-06-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1087","title":"Flood of June 8-9, 2008, Upper Iowa River, Northeast Iowa","docAbstract":"Major flooding occurred June 8-9, 2008, in the Upper Iowa River Basin in northeast Iowa following severe thunderstorm activity over the region. About 7 inches of rain were recorded for the 48-hour period ending 4 p.m., June 8, at Decorah, Iowa; more than 7 inches of rain were recorded for the 48-hour period ending 7 a.m., June 8, at Dorchester, Iowa, about 17 miles northeast of Decorah. The maximum peak discharge measured in the Upper Iowa River was 34,100 cubic feet per second at streamgage 05387500 Upper Iowa River at Decorah, Iowa. This discharge is the largest discharge recorded in the Upper Iowa River Basin since streamgaging operations began in the basin in 1914. The flood-probability range of the peak discharge is 0.2 to 1 percent. High-water marks were measured at 15 locations along the Upper Iowa River between State Highway 26 near the mouth at the Mississippi River and U.S. Highway 63 at Chester, Iowa, a distance of 124 river miles. The high-water marks were used to develop a flood profile.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101087","collaboration":"Prepared in cooperation with the Iowa Department of Transportation and Iowa Highway Research Board (Project HR?140)","usgsCitation":"Fischer, E.E., and Eash, D.A., 2010, Flood of June 8-9, 2008, Upper Iowa River, Northeast Iowa: U.S. Geological Survey Open-File Report 2010-1087, iv, 11 p.; Appendices, https://doi.org/10.3133/ofr20101087.","productDescription":"iv, 11 p.; Appendices","onlineOnly":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":125358,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1087.jpg"},{"id":13692,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1087/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.66666666666667,43.166666666666664 ], [ -92.66666666666667,43.666666666666664 ], [ -91.25,43.666666666666664 ], [ -91.25,43.166666666666664 ], [ -92.66666666666667,43.166666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5eecef","contributors":{"authors":[{"text":"Fischer, Edward E. edf@usgs.gov","contributorId":1063,"corporation":false,"usgs":true,"family":"Fischer","given":"Edward","email":"edf@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":305277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eash, David A. 0000-0002-2749-8959 daeash@usgs.gov","orcid":"https://orcid.org/0000-0002-2749-8959","contributorId":1887,"corporation":false,"usgs":true,"family":"Eash","given":"David","email":"daeash@usgs.gov","middleInitial":"A.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305278,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98426,"text":"ofr20101113 - 2010 - Bed-Sediment Sampling and Analysis for Physical and Chemical Properties of the Lower Mississippi River near Memphis, Tennessee","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ofr20101113","displayToPublicDate":"2010-06-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1113","title":"Bed-Sediment Sampling and Analysis for Physical and Chemical Properties of the Lower Mississippi River near Memphis, Tennessee","docAbstract":"In February 2010, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, Memphis District, investigated the presence of inorganic elements and organic compounds in bed sediments of the lower Mississippi River. Selected sites were located in the navigation channel near river miles 737, 773, and 790 near Memphis, Tennessee. Bed-sediment samples were collected using a Shipek grab sampler mounted to a boom crane with a motorized winch. Samples then were processed and shipped to the U.S. Geological Survey Sediment Laboratory in Rolla, Missouri, the USGS National Water Quality Laboratory in Denver, Colorado, and to TestAmerica Laboratory, Inc. in West Sacramento, California. Samples were analyzed for grain size, inorganic elements (including mercury), and organic compounds. Chemical results were tabulated and listed with sediment-quality guidelines and presented with the physical property results. All of the bed material samples collected during this investigation yielded concentrations that were less than the Consensus-Based Probable Effect Concentration guidelines. The physical properties were tabulated and listed using a standard U.S. Geological Survey scale of sizes by class for sediment analysis. All of the samples collected during this investigation indicated a percent composition mostly comprised of sand, ranging from less than 0.125 millimeters to less than 2 millimeters.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101113","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Memphis District","usgsCitation":"Blanchard, R., Wagner, D.M., and Evans, D.A., 2010, Bed-Sediment Sampling and Analysis for Physical and Chemical Properties of the Lower Mississippi River near Memphis, Tennessee: U.S. Geological Survey Open-File Report 2010-1113, iv, 13 p.; Appendices, https://doi.org/10.3133/ofr20101113.","productDescription":"iv, 13 p.; Appendices","onlineOnly":"N","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":125357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1113.jpg"},{"id":13691,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1113/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.5,35 ], [ -90.5,36 ], [ -89.66666666666667,36 ], [ -89.66666666666667,35 ], [ -90.5,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63dbe2","contributors":{"authors":[{"text":"Blanchard, Robert A.","contributorId":13342,"corporation":false,"usgs":true,"family":"Blanchard","given":"Robert A.","affiliations":[],"preferred":false,"id":305275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Daniel M. 0000-0002-0432-450X dwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-0432-450X","contributorId":4531,"corporation":false,"usgs":true,"family":"Wagner","given":"Daniel","email":"dwagner@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Dennis A.","contributorId":82404,"corporation":false,"usgs":true,"family":"Evans","given":"Dennis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":305276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70244096,"text":"70244096 - 2010 - First-order controls of extreme-storm impacts on the Mississippi-Alabama Barrier-Island chain","interactions":[],"lastModifiedDate":"2023-06-02T11:57:30.978032","indexId":"70244096","displayToPublicDate":"2010-06-02T06:55:32","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"First-order controls of extreme-storm impacts on the Mississippi-Alabama Barrier-Island chain","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Predicting the morphological impacts and associated hazards of extreme storms on barrier islands is facilitated by examining historical poststorm images and identifying the predominant alongshore and cross-shore patterns of erosion and deposition for different island segments. Morphological changes on the Mississippi–Alabama barrier-island chain produced by 12 Category 3 and stronger hurricanes since 1852 were analyzed to investigate whether barrier-island responses to extreme storms are controlled primarily by local geomorphic conditions or primarily by storm characteristics. Results of those analyses demonstrate that (1) antecedent topography and geomorphic conditions (island width, land elevations, nearshore bathymetry, subaqueous-boundary conditions) tend to exert greater control on local barrier-island impacts than storm parameters (path, intensity, wind speeds, water levels, shelf duration), and (2) types and alongshore patterns of storm overwash and island breaching are commonly repeated for the same island segments. Even when impact patterns are identical, magnitudes of sequential impacts, such as the inland distance of sediment transport, are unequal and are controlled by storm parameters (water levels, wind speeds) that influence wave heights, overwash-flow depths, and current velocities.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.2112/08-1152.1","usgsCitation":"Morton, R.A., 2010, First-order controls of extreme-storm impacts on the Mississippi-Alabama Barrier-Island chain: Journal of Coastal Research, v. 2010, no. 264, p. 635-648, https://doi.org/10.2112/08-1152.1.","productDescription":"14 p.","startPage":"635","endPage":"648","ipdsId":"IP-010959","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"Barrier-Island chain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.77295519598795,\n              30.549688451404563\n            ],\n            [\n              -89.77295519598795,\n              29.96157527703717\n            ],\n            [\n              -87.1044224030723,\n              29.96157527703717\n            ],\n            [\n              -87.1044224030723,\n              30.549688451404563\n            ],\n            [\n              -89.77295519598795,\n              30.549688451404563\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2010","issue":"264","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morton, Robert A","contributorId":306035,"corporation":false,"usgs":true,"family":"Morton","given":"Robert","email":"","middleInitial":"A","affiliations":[],"preferred":true,"id":874478,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98421,"text":"sir20105065 - 2010 - Channel change and bed-material transport in the Lower Chetco River, Oregon","interactions":[],"lastModifiedDate":"2019-04-29T10:21:47","indexId":"sir20105065","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5065","title":"Channel change and bed-material transport in the Lower Chetco River, Oregon","docAbstract":"<p>The lower Chetco River is a wandering gravel-bed river flanked by abundant and large gravel bars formed of coarse bed-material sediment. Since the early twentieth century, the large gravel bars have been a source of commercial aggregate for which ongoing permitting and aquatic habitat concerns have motivated this assessment of historical channel change and sediment transport rates. Analysis of historical channel change and bed-material transport rates for the lower 18&nbsp;kilometers shows that the upper reaches of the study area are primarily transport zones, with bar positions fixed by valley geometry and active bars mainly providing transient storage of bed material. Downstream reaches, especially near the confluence of the North Fork Chetco River, are zones of active sedimentation and channel migration.</p><p>Multiple analyses, supported by direct measurements of bedload during winter 2008–09, indicate that since 1970 the mean annual flux of bed material into the study reach has been about 40,000–100,000 cubic meters per year. Downstream tributary input of bed-material sediment, probably averaging 5–30 percent of the influx coming into the study reach from upstream, is approximately balanced by bed-material attrition by abrasion. Probably little bed material leaves the lower river under natural conditions, with most net influx historically accumulating in wider and more dynamic reaches, especially near the North Fork Chetco River confluence, 8 kilometers upstream from the Pacific Ocean.</p><p>The year-to-year flux, however, varies tremendously. Some years may have less than 3,000 cubic meters of bed material entering the study area; by contrast, some high-flow years, such as 1982 and 1997, likely have more than 150,000 cubic meters entering the reach. For comparison, the estimated annual volume of gravel extracted from the lower Chetco River for commercial aggregate during 2000–2008 has ranged from 32,000 to 90,000 cubic meters and averaged about 59,000 cubic meters per year. Mined volumes probably exceeded 140,000 cubic meters per year for several years in the late 1970s.</p><p>Repeat surveys and map analyses indicate a reduction in bar area and sinuosity between 1939 and 2008, chiefly in the period 1965–95. Repeat topographic and bathymetric surveys show channel incision for substantial portions of the study reach, with local areas of bed lowering by as much as 2 meters. A specific gage analysis at the upstream end of the study reach indicates that incision and narrowing followed aggradation culminating in the late 1970s. These observations are all consistent with a reduction of sediment supply relative to transport capacity since channel surveys in the late 1970s, probably owing to a combination of (1)&nbsp;bed sediment removal and (2) transient river adjustments to large sediment volumes brought by floods such as those in 1964 and, to a lesser extent, 1996.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105065","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Wallick, J., Anderson, S.W., Cannon, C., and O'Connor, J., 2010, Channel change and bed-material transport in the Lower Chetco River, Oregon (Version 2.0, July 2012): U.S. Geological Survey Scientific Investigations Report 2010-5065, Report: viii, 68 p. , https://doi.org/10.3133/sir20105065.","productDescription":"Report: viii, 68 p. ","numberOfPages":"80","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":118474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5065.jpg"},{"id":13673,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5065/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","state":"Oregon","otherGeospatial":"Chetco River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.28333333333333,42.034166666666664 ], [ -124.28333333333333,42.1175 ], [ -124.1675,42.1175 ], [ -124.1675,42.034166666666664 ], [ -124.28333333333333,42.034166666666664 ] ] ] } } ] }","edition":"Version 2.0, July 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e69ec","contributors":{"authors":[{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":107001,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Charles ccannon@usgs.gov","contributorId":4471,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305255,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98417,"text":"fs20103029 - 2010 - Real Time Flood Alert System (RTFAS) for Puerto Rico","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"fs20103029","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3029","title":"Real Time Flood Alert System (RTFAS) for Puerto Rico","docAbstract":"The Real Time Flood Alert System is a web-based computer program, developed as a data integration tool, and designed to increase the ability of emergency managers to rapidly and accurately predict flooding conditions of streams in Puerto Rico. The system includes software and a relational database to determine the spatial and temporal distribution of rainfall, water levels in streams and reservoirs, and associated storms to determine hazardous and potential flood conditions. The computer program was developed as part of a cooperative agreement between the U.S. Geological Survey Caribbean Water Science Center and the Puerto Rico Emergency Management Agency, and integrates information collected and processed by these two agencies and the National Weather Service. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103029","collaboration":"Prepared in cooperation with the Puerto Rico Emergency Management Agency (PREMA)","usgsCitation":"Lopez-Trujillo, D., 2010, Real Time Flood Alert System (RTFAS) for Puerto Rico: U.S. Geological Survey Fact Sheet 2010-3029, 6 p. , https://doi.org/10.3133/fs20103029.","productDescription":"6 p. ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":118470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3029.jpg"},{"id":13669,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3029/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6486ab","contributors":{"authors":[{"text":"Lopez-Trujillo, Dianne","contributorId":51874,"corporation":false,"usgs":true,"family":"Lopez-Trujillo","given":"Dianne","affiliations":[],"preferred":false,"id":305243,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98424,"text":"ds511 - 2010 - EAARL Coastal Topography-Chandeleur Islands, Louisiana, 2010: Bare Earth","interactions":[],"lastModifiedDate":"2012-02-10T00:11:52","indexId":"ds511","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"511","title":"EAARL Coastal Topography-Chandeleur Islands, Louisiana, 2010: Bare Earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and submerged topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Chandeleur Islands, acquired March 3, 2010. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color-infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.\r\n\r\nFor more information about similar projects, please visit the Decision Support for Coastal Science and Management website.\r\n\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds511","usgsCitation":"Nayegandhi, A., Bonisteel-Cormier, J.M., Brock, J., Sallenger, A., Wright, C.W., Nagle, D.B., Vivekanandan, S., Yates, X., and Klipp, E.S., 2010, EAARL Coastal Topography-Chandeleur Islands, Louisiana, 2010: Bare Earth: U.S. Geological Survey Data Series 511, DVD, https://doi.org/10.3133/ds511.","productDescription":"DVD","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":199365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13676,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/511/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.75,30.083333333333332 ], [ -88.75,29.75 ], [ -88.91666666666667,29.75 ], [ -88.91666666666667,30.083333333333332 ], [ -88.75,30.083333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db6971f6","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":305264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonisteel-Cormier, Jamie M.","contributorId":18085,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":305260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":305266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":305265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagle, David B. 0000-0002-2306-6147 dnagle@usgs.gov","orcid":"https://orcid.org/0000-0002-2306-6147","contributorId":3380,"corporation":false,"usgs":true,"family":"Nagle","given":"David","email":"dnagle@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305262,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vivekanandan, Saisudha","contributorId":84325,"corporation":false,"usgs":true,"family":"Vivekanandan","given":"Saisudha","email":"","affiliations":[],"preferred":false,"id":305268,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":305267,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Klipp, Emily S. eklipp@usgs.gov","contributorId":2754,"corporation":false,"usgs":true,"family":"Klipp","given":"Emily","email":"eklipp@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":305261,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":98418,"text":"sir20105071 - 2010 - Selected Hydrologic, Water-Quality, Biological, and Sedimentation Characteristics of Laguna Grande, Fajardo, Puerto Rico, March 2007-February 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20105071","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5071","title":"Selected Hydrologic, Water-Quality, Biological, and Sedimentation Characteristics of Laguna Grande, Fajardo, Puerto Rico, March 2007-February 2009","docAbstract":"Laguna Grande is a 50-hectare lagoon in the municipio of Fajardo, located in the northeasternmost part of Puerto Rico. Hydrologic, water-quality, and biological data were collected in the lagoon between March 2007 and February 2009 to establish baseline conditions and determine the health of Laguna Grande on the basis of preestablished standards. In addition, a core of bottom material was obtained at one site within the lagoon to establish sediment depositional rates.\r\n\r\n\r\nWater-quality properties measured onsite (temperature, pH, dissolved oxygen, specific conductance, and water transparency) varied temporally rather than areally. All physical properties were in compliance with current regulatory standards established for Puerto Rico. Nutrient concentrations were very low and in compliance with current regulatory standards (less than 5.0 and 1.0 milligrams per liter for total nitrogen and total phosphorus, respectively). The average total nitrogen concentration was 0.28 milligram per liter, and the average total phosphorus concentration was 0.02 milligram per liter. Chlorophyll a was the predominant form of photosynthetic pigment in the water. The average chlorophyll-a concentration was 6.2 micrograms per liter. \r\n\r\nBottom sediment accumulation rates were determined in sediment cores by modeling the downcore activities of lead-210 and cesium-137. Results indicated a sediment depositional rate of about 0.44 centimeter per year. At this rate of sediment accretion, the lagoon may become a marshland in about 700 to 900 years.\r\n\r\nAbout 86 percent of the community primary productivity in Laguna Grande was generated by periphyton, primarily algal mats and seagrasses, and the remaining 14 percent was generated by phytoplankton in the water column. Based on the diel studies the total average net community productivity equaled 5.7 grams of oxygen per cubic meter per day (2.1 grams of carbon per cubic meter per day). Most of this productivity was ascribed to periphyton and macrophytes, which produced 4.9 grams of oxygen per cubic meter per day (1.8 grams of carbon per cubic meter per day). Phytoplankton, the plant and algal component of plankton, produced about 0.8 gram of oxygen per cubic meter per day (0.3 gram of carbon per cubic meter per day).\r\n\r\nThe total diel community respiration rate was 23.4 grams of oxygen per cubic meter per day. The respiration rate ascribed to plankton, which consists of all free floating and swimming organisms in the water column, composed 10 percent of this rate (2.9 grams of oxygen per cubic meter per day); respiration by all other organisms composed the remaining 90 percent (20.5 grams of oxygen per cubic meter per day). Plankton gross productivity was 3.7 grams of oxygen per cubic meter per day, equivalent to about 13 percent of the average gross productivity for the entire community (29.1 grams of oxygen per cubic meter per day). \r\n\r\nThe average phytoplankton biomass values in Laguna Grande ranged from 6.0 to 13.6 milligrams per liter. During the study, Laguna Grande contained a phytoplankton standing crop of approximately 5.8 metric tons. Phytoplankton community had a turnover (renewal) rate of about 153 times per year, or roughly about once every 2.5 days. \r\n\r\nFecal indicator bacteria concentrations ranged from 160 to 60,000 colonies per 100 milliliters. Concentrations generally were greatest in areas near residential and commercial establishments, and frequently exceeded current regulatory standards established for Puerto Rico. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105071","collaboration":"Prepared in cooperation with the\r\nPuerto Rico Environmental Quality Board for the Conservation Trust of Puerto Rico","usgsCitation":"Soler-Lopez, L.R., and Santos, C.R., 2010, Selected Hydrologic, Water-Quality, Biological, and Sedimentation Characteristics of Laguna Grande, Fajardo, Puerto Rico, March 2007-February 2009: U.S. Geological Survey Scientific Investigations Report 2010-5071, ix, 51 p. , https://doi.org/10.3133/sir20105071.","productDescription":"ix, 51 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-03-01","temporalEnd":"2009-02-28","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":118472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5071.jpg"},{"id":13670,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5071/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -65.9,18 ], [ -65.9,18.450833333333332 ], [ -65.55,18.450833333333332 ], [ -65.55,18 ], [ -65.9,18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa837","contributors":{"authors":[{"text":"Soler-Lopez, Luis R.","contributorId":27501,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santos, Carlos R. crsantos@usgs.gov","contributorId":3812,"corporation":false,"usgs":true,"family":"Santos","given":"Carlos","email":"crsantos@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":305244,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98420,"text":"ds499 - 2010 - Design and Compilation of a Geodatabase of Existing Salinity Information for the Rio Grande Basin, from the Rio Arriba-Sandoval County Line, New Mexico, to Presidio, Texas, 2010","interactions":[],"lastModifiedDate":"2017-05-22T22:59:18","indexId":"ds499","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"499","title":"Design and Compilation of a Geodatabase of Existing Salinity Information for the Rio Grande Basin, from the Rio Arriba-Sandoval County Line, New Mexico, to Presidio, Texas, 2010","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, compiled salinity-related water-quality data and information in a geodatabase containing more than 6,000 sampling sites. The geodatabase was designed as a tool for water-resource management and includes readily available digital data sources from the U.S. Geological Survey, U.S. Environmental Protection Agency, New Mexico Interstate Stream Commission, Sustainability of semi-Arid Hydrology and Riparian Areas, Paso del Norte Watershed Council, numerous other State and local databases, and selected databases maintained by the University of Arizona and New Mexico State University. Salinity information was compiled for an approximately 26,000-square-mile area of the Rio Grande Basin from the Rio Arriba-Sandoval County line, New Mexico, to Presidio, Texas. The geodatabase relates the spatial location of sampling sites with salinity-related water-quality data reported by multiple agencies. The sampling sites are stored in a geodatabase feature class; each site is linked by a relationship class to the corresponding sample and results stored in data tables.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds499","collaboration":"In cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Shah, S., and Maltby, D.R., 2010, Design and Compilation of a Geodatabase of Existing Salinity Information for the Rio Grande Basin, from the Rio Arriba-Sandoval County Line, New Mexico, to Presidio, Texas, 2010: U.S. Geological Survey Data Series 499, vi, 24 p.  , https://doi.org/10.3133/ds499.","productDescription":"vi, 24 p.  ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_499.jpg"},{"id":13672,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/499/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,30 ], [ -109,37 ], [ -104,37 ], [ -104,30 ], [ -109,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db667f2f","contributors":{"authors":[{"text":"Shah, Sachin D.","contributorId":60174,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin D.","affiliations":[],"preferred":false,"id":305251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maltby, David R. II","contributorId":65196,"corporation":false,"usgs":true,"family":"Maltby","given":"David","suffix":"II","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":305252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98419,"text":"ofr20101033 - 2010 - Distribution and movement of bull trout in the upper Jarbidge River watershed, Nevada","interactions":[],"lastModifiedDate":"2018-03-21T15:32:26","indexId":"ofr20101033","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1033","title":"Distribution and movement of bull trout in the upper Jarbidge River watershed, Nevada","docAbstract":"<p>In 2006 and 2007, we surveyed the occurrence of bull trout (<i>Salvelinus confluentus</i>), the relative distributions of bull trout and redband trout (<i>Oncorhynchus mykiss</i>), and stream habitat conditions in the East and West Forks of the Jarbidge River in northeastern Nevada and southern Idaho. We installed passive integrated transponder (PIT) tag interrogation systems at strategic locations within the watershed, and PIT-tagged bull trout were monitored to evaluate individual fish growth, movement, and the connectivity of bull trout between streams. Robust bull trout populations were found in the upper portions of the East Fork Jarbidge River, the West Fork Jarbidge River, and in the Pine, Jack, Dave, and Fall Creeks. Small numbers of bull trout also were found in Slide and Cougar Creeks. Bull trout were numerically dominant in the upper portions of the East Fork Jarbidge River, and in Fall, Dave, Jack, and Pine Creeks, whereas redband trout were numerically dominant throughout the rest of the watershed. The relative abundance of bull trout was notably higher at altitudes above 2,100 m. </p><p>This study was successful in documenting bull trout population connectivity within the West Fork Jarbidge River, particularly between West Fork Jarbidge River and Pine Creek. Downstream movement of bull trout to the confluence of the East Fork and West Fork Jarbidge River both from Jack Creek (rkm 16.6) in the West Fork Jarbidge River and from Dave Creek (rkm 7.5) in the East Fork Jarbidge River was detected. Although bull trout exhibited some downstream movement during the spring and summer, much of their emigration occurred in the autumn, concurrent with decreasing water temperatures and slightly increasing flows. The bull trout that emigrated were mostly age-2 or older, but some age-1 fish also emigrated. Upstream movement by bull trout was detected less than downstream movement. The overall mean annual growth rate of bull trout in the East Fork and West Fork Jarbidge River was 36 mm. This growth rate is within the range reported in other river systems and is indicative of good habitat conditions. Mark-recapture methods were used to estimate a population of 147 age-1 or older bull trout in the reach of Jack Creek upstream of Jenny Creek. </p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101033","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Allen, M.B., Connolly, P., Mesa, M.G., Charrier, J., and Dixon, C., 2010, Distribution and movement of bull trout in the upper Jarbidge River watershed, Nevada: U.S. Geological Survey Open-File Report 2010-1033, vi, 80 p. , https://doi.org/10.3133/ofr20101033.","productDescription":"vi, 80 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":198392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":352716,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1033/pdf/ofr20101033.pdf","text":"Report","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":13671,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1033/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db6360c4","contributors":{"authors":[{"text":"Allen, M. Brady","contributorId":18874,"corporation":false,"usgs":true,"family":"Allen","given":"M.","email":"","middleInitial":"Brady","affiliations":[],"preferred":false,"id":305248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":305246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":305247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Charrier, Jodi","contributorId":49076,"corporation":false,"usgs":true,"family":"Charrier","given":"Jodi","affiliations":[],"preferred":false,"id":305250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dixon, Chris","contributorId":37447,"corporation":false,"usgs":true,"family":"Dixon","given":"Chris","email":"","affiliations":[],"preferred":false,"id":305249,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98423,"text":"sir20105027 - 2010 - Simulation of streamflow, evapotranspiration, and groundwater recharge in the lower San Antonio River Watershed, South-Central Texas, 2000-2007","interactions":[],"lastModifiedDate":"2016-08-11T16:39:01","indexId":"sir20105027","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5027","title":"Simulation of streamflow, evapotranspiration, and groundwater recharge in the lower San Antonio River Watershed, South-Central Texas, 2000-2007","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District, configured, calibrated, and tested a watershed model for a study area consisting of about 2,150 square miles of the lower San Antonio River watershed in Bexar, Guadalupe, Wilson, Karnes, DeWitt, Goliad, Victoria, and Refugio Counties in south-central Texas. The model simulates streamflow, evapotranspiration (ET), and groundwater recharge using rainfall, potential ET, and upstream discharge data obtained from National Weather Service meteorological stations and USGS streamflow-gaging stations. Additional time-series inputs to the model include wastewater treatment-plant discharges, withdrawals for cropland irrigation, and estimated inflows from springs. Model simulations of streamflow, ET, and groundwater recharge were done for 2000-2007. Because of the complexity of the study area, the lower San Antonio River watershed was divided into four subwatersheds; separate HSPF models were developed for each subwatershed. Simulation of the overall study area involved running simulations of the three upstream models, then running the downstream model. The surficial geology was simplified as nine contiguous water-budget zones to meet model computational limitations and also to define zones for which ET, recharge, and other water-budget information would be output by the model. The model was calibrated and tested using streamflow data from 10 streamflow-gaging stations; additionally, simulated ET was compared with measured ET from a meteorological station west of the study area. The model calibration is considered very good; streamflow volumes were calibrated to within 10 percent of measured streamflow volumes. During 2000-2007, the estimated annual mean rainfall for the water-budget zones ranged from 33.7 to 38.5 inches per year; the estimated annual mean rainfall for the entire watershed was 34.3 inches. Using the HSPF model it was estimated that for 2000-2007, less than 10 percent of the annual mean rainfall on the study watershed exited the watershed as streamflow, whereas about 82 percent, or an average of 28.2 inches per year, exited the watershed as ET. Estimated annual mean groundwater recharge for the entire study area was 3.0 inches, or about 9 percent of annual mean rainfall. Estimated annual mean recharge was largest in water-budget zone 3, the zone where the Carrizo Sand outcrops. In water-budget zone 3, the estimated annual mean recharge was 5.1 inches or about 15 percent of annual mean rainfall. Estimated annual mean recharge was smallest in water-budget zone 6, about 1.1 inches or about 3 percent of annual mean rainfall. The Cibolo Creek subwatershed and the subwatershed of the San Antonio River upstream from Cibolo Creek had the largest and smallest basin yields, about 4.8 inches and 1.2 inches, respectively. Estimated annual ET and annual recharge generally increased with increasing annual rainfall. Also, ET was larger in zones 8 and 9, the most downstream zones in the watershed. Model limitations include possible errors related to model conceptualization and parameter variability, lack of data to quantify certain model inputs, and measurement errors. Uncertainty regarding the degree to which available rainfall data represent actual rainfall is potentially the most serious source of measurement error.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105027","collaboration":"In cooperation with the San Antonio River Authority, the Evergreen Underground Water Conservation District, and the Goliad County Groundwater Conservation District","usgsCitation":"Lizarraga, J.S., and Ockerman, D.J., 2010, Simulation of streamflow, evapotranspiration, and groundwater recharge in the lower San Antonio River Watershed, South-Central Texas, 2000-2007: U.S. Geological Survey Scientific Investigations Report 2010-5027, v, 41 p., https://doi.org/10.3133/sir20105027.","productDescription":"v, 41 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":118469,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5027.jpg"},{"id":13675,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5027/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.63525390624999,\n              29.578234494739206\n            ],\n            [\n              -96.932373046875,\n              29.377388403478992\n            ],\n            [\n              -97.27294921875,\n              28.724313406473463\n            ],\n            [\n              -98.72863769531249,\n              29.16655229520015\n            ],\n            [\n              -98.734130859375,\n              29.516110386062277\n            ],\n            [\n              -98.63525390624999,\n              29.578234494739206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2f32","contributors":{"authors":[{"text":"Lizarraga, Joy S.","contributorId":43735,"corporation":false,"usgs":true,"family":"Lizarraga","given":"Joy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":305259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305258,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98422,"text":"ofr20101082 - 2010 - A summary of information on the rust <i>Puccinia psidii</i> Winter (guava rust) with emphasis on means to prevent introduction of additional strains to Hawaii","interactions":[],"lastModifiedDate":"2018-01-04T13:04:44","indexId":"ofr20101082","displayToPublicDate":"2010-06-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1082","title":"A summary of information on the rust <i>Puccinia psidii</i> Winter (guava rust) with emphasis on means to prevent introduction of additional strains to Hawaii","docAbstract":"<p>The neotropical rust fungus&nbsp;<i>Puccinia psidii</i>(<i>P. psidii</i>) was originally described from the host common guava in its native Brazil but has been found since on hosts throughout the myrtle family (Myrtaceae), including a dramatic host jump to nonnative&nbsp;<i>Eucalyptus</i>&nbsp;plantations. Most rust fungi are able to live only on a very narrow range of host species.&nbsp;<i>P. psidii</i>&nbsp;is unusual both for having a broad host range and for the intensity of its damage to susceptible young growth. This rust first got a foothold in the United States in Florida more than three decades ago. The U.S. Department of Agriculture (USDA) has since considered it a nonactionable, nonreportable pest. Hawaii and Florida are the only two states with native species in the myrtle family. Over a period of 30 years, this rust has done little damage to any of the scattered native Myrtaceae in Florida, although the host range of the rust has gradually grown to about 30 mostly nonnative species in the family, apparently because of increasing genetic variety of the rust by repeated introductions. However, Florida&rsquo;s native Myrtaceae are among the roughly 1,100 neotropical species that are largely resistant to&nbsp;<i>P. psidii</i>. The 3,000 species of non-neotropical Myrtaceae of the Pacific, Australia, Asia, and Africa are expected to prove much more vulnerable to&nbsp;<i>P. psidii</i>. Little is known about the genetics or genetic strains of&nbsp;<i>P. psidii</i>, although existing literature shows that there are numerous strains that have differential ability to infect suites of host plants.</p>\n<p>The rust was first recorded in the state of Hawaii on Oahu in April 2005 and quickly spread throughout the Hawaiian Islands. The main concern in Hawaii became the potential threat to ohia,&nbsp;<i>Metrosideros polymorpha</i>&nbsp;(Myrtaceae), the endemic forest tree species overwhelmingly important in Hawaii&rsquo;s nature and culture. The potential ecological consequences of a virulent strain of rust on ohia forests are immense, due to its role as a foundation tree species and the diversity of niches it fills in Hawaii.</p>\n<p>A single genetic strain of the rust is established in Hawaii, apparently composed of a single genotype lacking sexual reproduction.&nbsp;<i>P. psidii</i>&nbsp;has been found statewide in Hawaii attacking Myrtaceae from near sea level to about 1,200 m elevation in areas with rainfall ranging from 750&ndash;5,000 mm. Five of eight native Myrtaceae and at least 15 nonnative species have been observed as hosts of&nbsp;<i>P. psidii</i>&nbsp;in Hawaii. The federally endangered&nbsp;<i>Eugenia koolauensis</i>&nbsp;(nioi) and the nonendangered indigenous species&nbsp;<i>Eugenia reinwardtiana</i>&nbsp;are severely damaged. The introduced (an Asian species) and invasive rose apple,&nbsp;<i>Syzygium jambos</i>, is severely affected at a landscape scale, with widespread crown dieback and many instances of complete tree death. In spite of billions of wind-dispersed rust spores produced from rose apple infestations during 2006 to 2008, adjacent ohia have been little affected to date by the rust strain in Hawaii. Within the elevation range of the rust,&nbsp;<i>P. psidii</i>&nbsp;is found on less than 5 percent of the ohia trees in the wild; on those ohia trees on which the rust is found, it is normally found on less than 5 percent of the leaves.</p>\n<p>The strain in Hawaii has not attacked many of the species known to be infected by the rust elsewhere, including common guava. On the basis of the very substantial genetic diversity of the much-studied, crop-damaging species of the genus<i>Puccinia</i>, there is good reason to believe that there are at minimum dozens and likely hundreds or thousands of genotypes of&nbsp;<i>P. psidii</i>, likely concentrated in the core range in Brazil but with potential for dispersal by globalization. Multiple genotypes are believed already present in the United States and certain to spread freely in the absence of restrictions. The U.S. Forest Service has initiated a major collaborative project in Brazil to investigate the genetics of susceptibility of Hawaii&rsquo;s ohia to&nbsp;<i>P. psidii</i>, but initial results will likely not be available for several years. If just one more strain reaches Hawaii, the consequences could be dire for ohia, with each new genotype arriving having an unknown likelihood of increasing damage to ohia; possibilities for mutation and (or) genetic mixing, even with asexual strains, are apparently substantial, based on what is known about other&nbsp;<i>Puccinia</i>&nbsp;species. Investigations are needed to clarify rust-nioi relationships. However, it is likely that keeping out new strains of&nbsp;<i>P. psidii</i>&nbsp;may be important for long-term survival of nioi as well as for the health of ohia forest.</p>\n<p>The source of Hawaii&rsquo;s initial invasion by&nbsp;<i>P. psidii</i>&nbsp;is uncertain but is strongly suspected to have been decorative foliage of species in the myrtle family from the mainland United States, most likely California, where there had been outbreaks of this rust on cultivated myrtle in 2005. In 2006&ndash;7, Maui&rsquo;s Hawaii Department of Agriculture (HDOA) inspectors intercepted several&nbsp;<i>P. psidii</i>&nbsp;infected shipments of foliage myrtle, shipped from several California counties. Recognizing the huge threat of the rust to Hawaii&rsquo;s one million acres of ohia forests, and consequently to Hawaii&rsquo;s watersheds and biodiversity, Hawaii&rsquo;s Board of Agriculture unanimously approved an interim rule in August 2007 banning importation of plants in the myrtle family from &ldquo;infested areas,&rdquo; specified as South America, Florida, and California. However, the interim rule has not been made permanent by HDOA, and the department has stated that it needs further information to formulate a long-term rule that imposes appropriate measures.</p>\n<p>Rust spores can survive for 2 to 3 months, and the pathogen can be transported to Hawaii on Myrtaceae from anywhere in the world through the United States mainland. There is much geographic reshuffling of flowers and foliage among the far-flung firms in the trade, especially for bouquet making. Because&nbsp;<i>P. psidii</i>&nbsp;is a nonactionable and nonreportable pest in the United States, foliage and flowers of the myrtle family can move freely into the country (usually but not necessarily always through the ports of Miami or Los Angeles), and from state to state.</p>\n<p>Currently, the State of Hawaii regulates incoming plant material in the family Myrtaceae by visual inspection. Inspection capacity and latent (asymptomatic) infections limit the ability to detect the rust. New molecular tests could improve detection efficiency, but the cost and the time required to process samples currently precludes their routine use in ports of entry. Interdiction, which has effectively kept coffee rust (<i>Hemileia vastatrix</i>) out of Hawaii for 120 years, offers the strongest protection for Hawaii&rsquo;s native ecosystems from&nbsp;<i>P. psidii</i>. Interdiction of Myrtaceae from the continental United States could have the important supplementary benefit of preventing establishment in Hawaii of other very significant pests of multiple species of Myrtaceae that are already in the country, including: the&nbsp;<i>Eugenia</i>&nbsp;psyllid&nbsp;<i>Trioza eugeniae</i>&nbsp;(Hemiptera: Psyllidae);&nbsp;<i>Chrysophtharta m-fuscum</i>, the&nbsp;<i>Eucalyptus</i>&nbsp;tortoise beetle (Coleoptera: Chrysomelidae);&nbsp;<i>Leptocybe invasa</i>, the blue gum chalcid wasp (Hymenoptera: Chalcidae); and the fungal pathogens&nbsp;<i>Mycosphaerella molleriana</i>&nbsp;(Ascomycota: Mycosphaerelliaceae, crinkle leaf disease of&nbsp;<i>Eucalyptus</i>&nbsp;spp.) and&nbsp;<i>Neofusicoccum parvum</i>&nbsp;(Ascomycota: Botryosphaeriaceae), currently causing serious damage to&nbsp;<i>Syzygium paniculatum</i>&nbsp;in south Florida nurseries. Each of these pests would be likely to cause very significant damage to native and (or) cultivated Myrtaceae in Hawaii. Each of these pests is a prime candidate for transport by the foliage and (or) nursery stock pathways from Florida and California into Hawaii.</p>\n<p>Hawaii Department of Agriculture has a clear mandate to protect Hawaii&rsquo;s natural environment, forestry and cultivated Myrtaceae. Principles of the World Trade Organization&rsquo;s Treaty on Sanitary and Phytosanitary Measures and the International Plant Protection Convention are consistent with the right of Hawaii to take action. The current threat of&nbsp;<i>P. psidii</i>and the other five serious threats to Myrtaceae are primarily posed by the importation of infected plants from the continental United States; however, that may change in the future. If Hawaii were to decide to take a stand (through State regulation) to protect its native and introduced Myrtaceae, there is a possibility that USDA would consider Federal regulation of Myrtaceae from foreign countries.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101082","usgsCitation":"Loope, L., 2010, A summary of information on the rust <i>Puccinia psidii</i> Winter (guava rust) with emphasis on means to prevent introduction of additional strains to Hawaii: U.S. Geological Survey Open-File Report 2010-1082, iii, 40 p., https://doi.org/10.3133/ofr20101082.","productDescription":"iii, 40 p.","startPage":"1","endPage":"31","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research 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,{"id":70200782,"text":"70200782 - 2010 - Global geological mapping of Ganymede","interactions":[],"lastModifiedDate":"2018-10-31T15:09:01","indexId":"70200782","displayToPublicDate":"2010-06-01T15:07:58","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Global geological mapping of Ganymede","docAbstract":"<p><span>We have compiled a global geological map of Ganymede that represents the most recent understanding of the satellite based on Galileo mission results. This contribution builds on important previous accomplishments in the study of Ganymede utilizing Voyager data and incorporates the many new discoveries that were brought about by examination of Galileo data. We discuss the material properties of geological units defined utilizing a global mosaic of the surface with a nominal resolution of 1</span><span>&nbsp;</span><span>km/pixel assembled by the USGS with the best available Voyager and Galileo regional coverage and high resolution imagery (100–200</span><span>&nbsp;</span><span>m/pixel) of characteristic features and terrain types obtained by the Galileo spacecraft. We also use crater density measurements obtained from our mapping efforts to examine age relationships amongst the various defined units. These efforts have resulted in a more complete understanding of the major geological processes operating on Ganymede, especially the roles of cryovolcanic and tectonic processes in the formation of might materials. They have also clarified the characteristics of the geological units that comprise the satellite’s surface, the stratigraphic relationships of those geological units and structures, and the geological history inferred from those relationships. For instance, the characteristics and stratigraphic relationships of dark lineated material and reticulate material suggest they represent an intermediate stage between dark cratered material and light material units.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.11.035","usgsCitation":"Patterson, G.W., Collins, G.C., Head, J.W., Pappalardo, R.T., Prockter, L.M., Lucchitta, B.K., and Kay, J.P., 2010, Global geological mapping of Ganymede: Icarus, v. 207, no. 2, p. 845-867, https://doi.org/10.1016/j.icarus.2009.11.035.","productDescription":"23 p.","startPage":"845","endPage":"867","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":359050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"207","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10c6f2e4b034bf6a7f4c4e","contributors":{"authors":[{"text":"Patterson, G. Wesley","contributorId":29302,"corporation":false,"usgs":true,"family":"Patterson","given":"G.","email":"","middleInitial":"Wesley","affiliations":[],"preferred":false,"id":750493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Geoffrey C.","contributorId":40512,"corporation":false,"usgs":true,"family":"Collins","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":750494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Head, James W.","contributorId":70772,"corporation":false,"usgs":false,"family":"Head","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7002,"text":"Department of Earth, Environmental, and Planetary Sciences, Brown University","active":true,"usgs":false}],"preferred":false,"id":750495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pappalardo, Robert T.","contributorId":102380,"corporation":false,"usgs":true,"family":"Pappalardo","given":"Robert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":750496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prockter, Louise M.","contributorId":36850,"corporation":false,"usgs":true,"family":"Prockter","given":"Louise","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":750497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucchitta, Baerbel K. blucchitta@usgs.gov","contributorId":3649,"corporation":false,"usgs":true,"family":"Lucchitta","given":"Baerbel","email":"blucchitta@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":750498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kay, Jonathan P.","contributorId":210339,"corporation":false,"usgs":false,"family":"Kay","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":750499,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70236329,"text":"70236329 - 2010 - XANES evidence for rapid arsenic(III) oxidation at magnetite and ferrihydrite surfaces by dissolved O2 via Fe2+-mediated reactions","interactions":[],"lastModifiedDate":"2022-09-02T13:30:13.735708","indexId":"70236329","displayToPublicDate":"2010-06-01T15:03:57","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"XANES evidence for rapid arsenic(III) oxidation at magnetite and ferrihydrite surfaces by dissolved O<sub>2</sub> via Fe<sup>2+</sup>-mediated reactions","title":"XANES evidence for rapid arsenic(III) oxidation at magnetite and ferrihydrite surfaces by dissolved O2 via Fe2+-mediated reactions","docAbstract":"<p>To reduce the adverse effects of arsenic on humans, various technologies are used to remove arsenic from groundwater, most relying on As adsorption on Fe-(oxyhydr)oxides and concomitant oxidation of As(III) by dissolved O<sub>2</sub>. This reaction can be catalyzed by microbial activity or by strongly oxidizing radical species known to form upon oxidation of Fe(II) by dissolved O<sub>2</sub>. Such catalyzed oxidation reactions have been invoked to explain the enhanced kinetics of As(III) oxidation in aerated water, in the presence of zerovalent iron or dissolved Fe(II). In the present study, we used arsenic K-edge X-ray absorption near edge structure (XANES) spectroscopy to investigate the role of Fe(II) in the oxidation of As(III) at the surface of magnetite and ferrihydrite under oxygenated conditions. Our results show rapid oxidation of As(III) to As(V) upon sorption onto magnetite under oxic conditions at neutral pH. Moreover, under similar oxic conditions, As(III) oxidized upon sorption onto ferrihydrite only after addition of Fe(II)<sub>aq</sub> within the investigated time frame of 24 h. These results confirm that Fe(II) is able to catalyze As(III) oxidation in the presence of dissolved O<sub>2</sub> and suggest that oxidation of As(III) upon sorption on magnetite under oxic conditions can be explained by an Fe<sup>2+</sup>-mediated Fenton-like reactions. Thus, the present study shows that magnetite might be an efficient alternative to the current use of oxidants and Fe(II) to remove As from aerated water. In addition, this study emphasizes that special care is needed to preserve arsenic oxidation state during laboratory sorption experiments as well as in collecting As-bearing samples from natural environments.</p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es1000616","usgsCitation":"Ona-Nguema, G., Morin, G., Wang, Y., Foster, A.L., Juillot, F., Calas, G., and Brown, G.E., 2010, XANES evidence for rapid arsenic(III) oxidation at magnetite and ferrihydrite surfaces by dissolved O2 via Fe2+-mediated reactions: Environmental Science and Technology, v. 44, no. 14, p. 5416-5422, https://doi.org/10.1021/es1000616.","productDescription":"7 p.","startPage":"5416","endPage":"5422","costCenters":[],"links":[{"id":406095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"14","noUsgsAuthors":false,"publicationDate":"2010-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Ona-Nguema, Georges","contributorId":72484,"corporation":false,"usgs":true,"family":"Ona-Nguema","given":"Georges","email":"","affiliations":[],"preferred":false,"id":850632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morin, Guillaume","contributorId":296089,"corporation":false,"usgs":false,"family":"Morin","given":"Guillaume","email":"","affiliations":[],"preferred":false,"id":850633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Yuheng","contributorId":296090,"corporation":false,"usgs":false,"family":"Wang","given":"Yuheng","email":"","affiliations":[],"preferred":false,"id":850634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":850635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Juillot, Farid","contributorId":296091,"corporation":false,"usgs":false,"family":"Juillot","given":"Farid","email":"","affiliations":[],"preferred":false,"id":850636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calas, Georges","contributorId":296092,"corporation":false,"usgs":false,"family":"Calas","given":"Georges","email":"","affiliations":[],"preferred":false,"id":850637,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Gordon E. Jr.","contributorId":10166,"corporation":false,"usgs":true,"family":"Brown","given":"Gordon","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":850638,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70221804,"text":"70221804 - 2010 - Integration of tectonic, sedimentary, and geohydrologic processes leading to a small-scale extension model for the Mormon Mountains area north of Lake Mead, Lincoln County, Nevada","interactions":[],"lastModifiedDate":"2021-07-07T19:31:52.481576","indexId":"70221804","displayToPublicDate":"2010-06-01T14:12:49","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Integration of tectonic, sedimentary, and geohydrologic processes leading to a small-scale extension model for the Mormon Mountains area north of Lake Mead, Lincoln County, Nevada","docAbstract":"<p><span>Scattered remnants of highly diverse stratigraphic sections of Tertiary lacustrine limestone, andesite flows, and 23.8–18.2 Ma regional ash-flow tuffs on the north flank of the Mormon Mountains record previously unrecognized deformation, which we interpret as pre–17 Ma uplift and possibly weak extension on the north flank of a growing dome. Directly to the north of the Mormon dome, 17–14 Ma ash-flow tuffs and rhyolite are interstratified with landslides, debris avalanches, debris flows, and alluvial-fan deposits that accumulated to a thickness of more than 2 km in an extension-parallel basin. The source for the landslides and debris avalanche deposits is unknown, but it was probably an adjacent scarp along a transverse fault bounding an early part of the Mormon dome. An average 45° of easterly tilt of the entire Tertiary basin-fill succession represents the major post–14 Ma deformation event in the region. We question the basis for the published estimate of 22 km of westerly displacement on the Mormon Peak detachment fault and, on the basis of landslides in the upper plate having a probable source in the adjacent Mormon dome, constrain the heave to ~4 km. We interpret the dome and basin as coupled strains similar to others in the region and suggest that these strains reflect a waveform pattern of extension-normal lateral midcrustal ductile flow. Previously, doming was interpreted as an isostatic response to tectonic unloading by large-displacement detachment faults or as pseudo-structural highs stranded by removal of middle crust from adjacent areas. Moreover, we argue that the strong thinning of upper-plate rock successions throughout the Mormon Mountains and Tule Springs Hills resulted from a loss of rock volume by protracted fluid flow, dissolution, and collapse, seriously limiting the usefulness of upper-plate strain in evaluating extension magnitude. We present a geohydrologic model that couples uplift driven by ductile inflow with dissolution driven by fluid infiltration, possibly augmented by mantle-derived CO</span><sub>2</sub><span>-rich fluids. Karsting in the uplands led to carbonate sedimentation in adjacent lowlands. Whether or not our downward revision of extension in the Mormon Mountains is valid, extension at that latitude is isolated from extension in the Lake Mead area by a low-strain corridor between the two areas. Recognition of the isolated and potentially diminished strain impacts estimates of maximum finite elongation of the Basin and Range Province because one of three vector paths used in those estimates passes through the Mormon Mountains.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Miocene tectonics of the Lake Mead Region, central basin and range","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.2463(18)","usgsCitation":"Anderson, R.E., Felger, T.J., Diehl, S.F., Page, W.R., and Workman, J.B., 2010, Integration of tectonic, sedimentary, and geohydrologic processes leading to a small-scale extension model for the Mormon Mountains area north of Lake Mead, Lincoln County, Nevada, chap. <i>of</i> Miocene tectonics of the Lake Mead Region, central basin and range, v. 463, p. 395-426, https://doi.org/10.1130/2010.2463(18).","productDescription":"32 p.","startPage":"395","endPage":"426","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":387000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mormon Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.80163574218751,\n              36.71687068791304\n            ],\n            [\n              -114.31549072265625,\n              36.71687068791304\n            ],\n            [\n              -114.31549072265625,\n              37.29153547292737\n            ],\n            [\n              -114.80163574218751,\n              37.29153547292737\n            ],\n            [\n              -114.80163574218751,\n              36.71687068791304\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"463","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Umhoefer, Paul J.","contributorId":73483,"corporation":false,"usgs":true,"family":"Umhoefer","given":"Paul J.","affiliations":[],"preferred":false,"id":818786,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beard, L. Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":152,"corporation":false,"usgs":true,"family":"Beard","given":"L.","email":"sbeard@usgs.gov","middleInitial":"Sue","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818787,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lamb, Melissa","contributorId":260799,"corporation":false,"usgs":false,"family":"Lamb","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":818788,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Anderson, R. Ernest","contributorId":104484,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Ernest","affiliations":[],"preferred":false,"id":818781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Felger, Tracey J. 0000-0003-0841-4235 tfelger@usgs.gov","orcid":"https://orcid.org/0000-0003-0841-4235","contributorId":1117,"corporation":false,"usgs":true,"family":"Felger","given":"Tracey","email":"tfelger@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diehl, Sharon F. diehl@usgs.gov","contributorId":1089,"corporation":false,"usgs":true,"family":"Diehl","given":"Sharon","email":"diehl@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":818783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":818784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Workman, Jeremiah B. 0000-0001-7816-6420 jworkman@usgs.gov","orcid":"https://orcid.org/0000-0001-7816-6420","contributorId":714,"corporation":false,"usgs":true,"family":"Workman","given":"Jeremiah","email":"jworkman@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":818785,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236426,"text":"70236426 - 2010 - Implications of geophysical analysis on basin geometry and fault offsets in the northern Colorado River extensional corridor and adjoining Lake Mead region, Nevada and Arizona","interactions":[],"lastModifiedDate":"2022-09-06T19:25:40.208439","indexId":"70236426","displayToPublicDate":"2010-06-01T14:09:39","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5614,"text":"Special Papers of the Geological Society of America","printIssn":"0072-1077","active":true,"publicationSubtype":{"id":24}},"title":"Implications of geophysical analysis on basin geometry and fault offsets in the northern Colorado River extensional corridor and adjoining Lake Mead region, Nevada and Arizona","docAbstract":"<p>The northern Colorado River extensional corridor and Lake Mead region are characterized by prominent gravity and magnetic anomalies that provide insight into the geometry of extensional basins, amount of vertical and strike-slip offset on faults that bound these basins, and composition of major basement blocks. Although large-magnitude extension throughout the extensional corridor and major strike-slip faulting north of Lake Mead have highly disrupted many basins, most of the older basins (middle to late Miocene) are not associated with prominent geophysical anomalies. Instead, the most conspicuous anomalies (e.g., gravity lows) generally correspond to the younger (late Miocene to recent), structurally more coherent basins. Most of the geophysically expressed basins lie north of Lake Mead and are bounded by Quaternary normal and/or strike-slip fault zones. Both Quaternary faults and geophysically conspicuous basins are largely absent south of Lake Mead, where the only prominent gravity low corresponds to a structurally intact basin filled primarily with halite along the less extended, eastern margin of the corridor. Relatively continuous northeast-trending magnetic anomalies south of Lake Mead, presumably caused by Proterozoic basement rocks, suggest that strike-slip displacement is negligible on many of the major normal faults. In contrast, magnetic anomalies are smeared along the Lake Mead fault system and Las Vegas Valley shear zone. Offset anomalies suggest left-lateral displacement of 12–20 km for the Hamblin Bay fault zone, 12–15 km for the Lime Ridge fault, and 12 km on the Gold Butte fault. These values are compatible with or lower than published estimates based on geologic mapping.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Miocene tectonics of the Lake Mead region, central Basin and Range","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.2463(03)","usgsCitation":"Langenheim, V., Beard, L.S., and Faulds, J., 2010, Implications of geophysical analysis on basin geometry and fault offsets in the northern Colorado River extensional corridor and adjoining Lake Mead region, Nevada and Arizona, chap. <i>of</i> Miocene tectonics of the Lake Mead region, central Basin and Range: Special Papers of the Geological Society of America, v. 463, p. 39-60 p., https://doi.org/10.1130/2010.2463(03).","productDescription":"22 p.","startPage":"39","endPage":"60 p.","costCenters":[],"links":[{"id":406261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Basin and Range Province, Colorado River, Lake Mead","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.08154296875001,\n              34.939985151560435\n            ],\n            [\n              -111.97265625,\n              34.939985151560435\n            ],\n            [\n              -111.97265625,\n              37.00255267215955\n            ],\n            [\n              -116.08154296875001,\n              37.00255267215955\n            ],\n            [\n              -116.08154296875001,\n              34.939985151560435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"463","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Umhoefer, Paul J.","contributorId":73483,"corporation":false,"usgs":true,"family":"Umhoefer","given":"Paul J.","affiliations":[],"preferred":false,"id":850981,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lamb, Melissa","contributorId":260799,"corporation":false,"usgs":false,"family":"Lamb","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":850982,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, L. Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":152,"corporation":false,"usgs":true,"family":"Beard","given":"L.","email":"sbeard@usgs.gov","middleInitial":"Sue","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":850979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulds, James E.","contributorId":211978,"corporation":false,"usgs":false,"family":"Faulds","given":"James E.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":850980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236356,"text":"70236356 - 2010 - Palaeoenvironmental significance of diatom and vertebrate fossils from Late Cenozoic tectonic basins in west-central México: A review","interactions":[],"lastModifiedDate":"2022-09-02T19:00:29.270988","indexId":"70236356","displayToPublicDate":"2010-06-01T13:45:47","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Palaeoenvironmental significance of diatom and vertebrate fossils from Late Cenozoic tectonic basins in west-central México: A review","docAbstract":"<p>Pronounced lacustrine sedimentation developed in west-central México during the late Miocene, between approximately 11 and 7 Ma. This was in response to tectonic extension associated with the initial emplacement of the late Miocene substrata of the Trans-Mexican Volcanic Belt. Climatic conditions in west-central México during this interval were relatively warm and humid based on the widespread distribution of interpreted lacustrine beds.</p><p>Following a latest Miocene (8.0–5.4 Ma) stage of arid conditions and greatly reduced deposition of fine-grained lacustrine sediments, extensive, east–west oriented, relatively deep, perennial lakes ensued. They mark the early Pliocene (5.3–4.0 Ma). Lower Pliocene diatomites contain the same diatom species (e.g., Stephanodiscus carconensis and Tertiarius aff. baikalensis) found in rocks of this age in the western United States. The relatively warm and humid conditions that characterized this interval in central México coincide with a period of high-latitude warming, higher global sea level, and a reduction in size of the Antarctic Ice sheets. Because the Central American Seaway persisted until at least the latest Miocene, it might have acted to increase precipitation in central Mexico. This could have continued into the earliest Pliocene. Mexican Pliocene mammalian faunas also support a savanna setting with moist and warm conditions prevailing at the time.</p><p>Shallow lakes and fluvial conditions dominate after 4.0 Ma, until the end of Pleistocene. A combination of reduced precipitation, due to general global cooling and drying, as well as volcanic and tectonic processes, are presumed to have been the cause for this mid-Pliocene reduction in lake size and extent in central México.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2010.01.012","usgsCitation":"Israde-Alcántara, I., Miller, W., Garduño-Monroy, V., Barron, J.A., and Rodriguez-Pascua, M., 2010, Palaeoenvironmental significance of diatom and vertebrate fossils from Late Cenozoic tectonic basins in west-central México: A review: Quaternary International, v. 219, no. 1-2, p. 79-94, https://doi.org/10.1016/j.quaint.2010.01.012.","productDescription":"6 p.","startPage":"79","endPage":"94","costCenters":[],"links":[{"id":406169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","city":"Chincua, Ixtlahuaca","otherGeospatial":"Acambay fault, Chapala Lake, Cuitzeo Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.809814453125,\n              19.160735484156255\n            ],\n            [\n              -99.569091796875,\n              19.160735484156255\n            ],\n            [\n              -99.569091796875,\n              20.519644202728962\n            ],\n            [\n              -103.809814453125,\n              20.519644202728962\n            ],\n            [\n              -103.809814453125,\n              19.160735484156255\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"219","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Israde-Alcántara, I.","contributorId":60422,"corporation":false,"usgs":true,"family":"Israde-Alcántara","given":"I.","affiliations":[],"preferred":false,"id":850741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, W.E.","contributorId":24118,"corporation":false,"usgs":true,"family":"Miller","given":"W.E.","email":"","affiliations":[],"preferred":false,"id":850742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garduño-Monroy, V.H.","contributorId":65015,"corporation":false,"usgs":true,"family":"Garduño-Monroy","given":"V.H.","affiliations":[],"preferred":false,"id":850743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":850744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Pascua, M. A.","contributorId":67325,"corporation":false,"usgs":true,"family":"Rodriguez-Pascua","given":"M. A.","affiliations":[],"preferred":false,"id":850745,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236355,"text":"70236355 - 2010 - The northwestern margin of the Basin and Range province: Part 2: Structural setting of a developing basin from seismic and potential field data","interactions":[],"lastModifiedDate":"2022-09-02T18:44:23.421585","indexId":"70236355","displayToPublicDate":"2010-06-01T13:35:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"The northwestern margin of the Basin and Range province: Part 2: Structural setting of a developing basin from seismic and potential field data","docAbstract":"<p>Surprise Valley in northeastern California offers an ideal opportunity to examine the structural setting of a developing extensional basin due to its late Miocene to recent activity in isolation from other major normal fault-bound basins. Seismic velocity and potential field modeling help determine the nature of basin fill and identify intra-basin faults. Based on a detailed gravity and magnetic profile, we identify shallow subsurface basalt flows and several faults within the valley that may accommodate hundreds of meters of vertical offset, possibly cutting and offsetting the ~ 30° east-dipping Surprise Valley fault that rotated during footwall tilting of the adjacent Warner Mountains. Some of these intra-basin faults correspond with mapped Quaternary fault scarps, but others have no surface expression. These faults may represent the currently active fault system within the basin. If so, they would indicate that basin development is transitioning away from the main range-front normal fault to a new set of steep intra-basin faults that are more favorable for accommodating regional transtensional strain.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2009.05.029","usgsCitation":"Egger, A.E., Glen, J.M., and Ponce, D.A., 2010, The northwestern margin of the Basin and Range province: Part 2: Structural setting of a developing basin from seismic and potential field data: Tectonophysics, v. 488, no. 1-4, p. 150-161, https://doi.org/10.1016/j.tecto.2009.05.029.","productDescription":"12 p.","startPage":"150","endPage":"161","costCenters":[],"links":[{"id":406167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Surprise Valley, Warner Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.27557373046876,\n              41.9921602333763\n            ],\n            [\n              -120.37994384765624,\n              41.80817277478235\n            ],\n            [\n              -120.39642333984374,\n              41.47977575214487\n            ],\n            [\n              -120.34973144531249,\n              41.43449030894922\n            ],\n            [\n              -120.30853271484375,\n              41.42419375330273\n            ],\n            [\n              -120.30303955078124,\n              41.265420628926684\n            ],\n            [\n              -120.2838134765625,\n              41.20758898181025\n            ],\n            [\n              -120.18218994140626,\n              41.017210578228436\n            ],\n            [\n              -120.00091552734375,\n              41.01513821521511\n            ],\n            [\n              -119.9981689453125,\n              41.99624282178583\n            ],\n            [\n              -120.27557373046876,\n              41.9921602333763\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"488","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Egger, Anne E.","contributorId":48669,"corporation":false,"usgs":true,"family":"Egger","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":850738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850740,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70114634,"text":"ofr20091072 - 2010 - Geophysical and sampling data from the inner continental shelf: Duxbury to Hull, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:27:27","indexId":"ofr20091072","displayToPublicDate":"2010-06-01T12:32:21","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1072","title":"Geophysical and sampling data from the inner continental shelf: Duxbury to Hull, Massachusetts","docAbstract":"The U.S. Geological Survey (USGS) and the Massachusetts Office of Coastal Zone Management (CZM) have cooperated to map approximately 200 km² of the Massachusetts inner continental shelf between Duxbury and Hull. This report contains geophysical and geological data collected by the USGS on three cruises between 2006 and 2007. These USGS data are supplemented with a National Oceanic and Atmospheric Administration (NOAA) hydrographic survey conducted in 2003 to update navigation charts. The geophysical data include (1) swath bathymetry from interferometric sonar and multibeam echosounders, (2) acoustic backscatter from sidescan sonar and multibeam echosounders, and (3) subsurface stratigraphy and structure from seismic-reflection profilers. The geological data include sediment samples, seafloor photographs, and bottom videos. These spatial data support research on the influence sea-level change and sediment supply have on coastal evolution, and on efforts to understand the type, distribution, and quality of subtidal marine habitats in the Massachusetts coastal ocean.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091072","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Barnhardt, W., Ackerman, S.D., Andrews, B., and Baldwin, W.E., 2010, Geophysical and sampling data from the inner continental shelf: Duxbury to Hull, Massachusetts: U.S. Geological Survey Open-File Report 2009-1072, HTML Document, https://doi.org/10.3133/ofr20091072.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":289080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20091072.jpg"},{"id":289079,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1072/title_page.html"},{"id":289078,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1072/"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-70.78167703927289, 42.26594054308327], [-70.81895584008204, 42.26485905082643], [-70.82370896316127, 42.26787684931167], [-70.82052214136814, 42.272405609332175], [-70.82750519532038, 42.27088119624965], [-70.82478279110302, 42.27405559321806], [-70.82564863217482, 42.34878565735807], [-70.80097657886824, 42.33562025264728], [-70.78750306546061, 42.3345256324182], [-70.73741472785917, 42.295667064456936], [-70.73598872536519, 42.300123322250656], [-70.72287132802893, 42.298922005391645], [-70.60589020751091, 42.20820908113818], [-70.59704260735691, 42.208110511325785], [-70.59722287569411, 42.08067714263482], [-70.61807433016685, 42.08061423039673], [-70.62044811220066, 42.08404497258078], [-70.62181481198644, 42.0815825548348], [-70.62468095714827, 42.08853420325009], [-70.63157537951327, 42.083329121064914], [-70.63303734467206, 42.09427108581133], [-70.64003438729651, 42.096109602592605], [-70.65276385903655, 42.113666940941116], [-70.664417747843, 42.11571324657221], [-70.71086169864378, 42.18005692143486], [-70.70626504620292, 42.20539753483665], [-70.74878476112009, 42.23615172523561], [-70.75302517919353, 42.24515504451862], [-70.74431497027392, 42.24757723101977], [-70.74717330986721, 42.25054300920509], [-70.74293723075891, 42.25912928524051], [-70.75017751751574, 42.26446932746604], [-70.78167703927289, 42.26594054308327]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-70.82750519532038, 42.0803625889854, -70.5950818539277, 42.34878565735807], \"type\": \"Feature\", \"id\": \"3091909\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ad40f1e4b0729c154181c7","contributors":{"authors":[{"text":"Barnhardt, Walter A.","contributorId":80656,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter A.","affiliations":[],"preferred":false,"id":495374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Brian D. bandrews@usgs.gov","contributorId":138513,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian D.","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":495373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":495371,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236352,"text":"70236352 - 2010 - Upper mantle rheology from GRACE and GPS postseismic deformation after the 2004 Sumatra-Andaman earthquake","interactions":[],"lastModifiedDate":"2022-09-02T17:43:28.635127","indexId":"70236352","displayToPublicDate":"2010-06-01T11:58:51","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Upper mantle rheology from GRACE and GPS postseismic deformation after the 2004 Sumatra-Andaman earthquake","docAbstract":"<div class=\"article-section__content en main\"><p>Mantle rheology is one of the essential, yet least understood, material properties of our planet, controlling the dynamic processes inside the Earth's mantle and the Earth's response to various forces. With the advent of GRACE satellite gravity, measurements of mass displacements associated with many processes are now available. In the case of mass displacements related to postseismic deformation, these data may provide new constraints on the mantle rheology. We consider the postseismic deformation due to the<span>&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;</span>= 9.2 Sumatra 26 December 2004 and<span>&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;</span>= 8.7 Nias 28 March 2005 earthquakes. Applying wavelet analyses to enhance those local signals in the GRACE time varying geoids up to September 2007, we detect a clear postseismic gravity signal. We supplement these gravity variations with GPS measurements of postseismic crustal displacements to constrain postseismic relaxation processes throughout the upper mantle. The observed GPS displacements and gravity variations are well explained by a model of viscoelastic relaxation plus a small amount of afterslip at the downdip extension of the coseismically ruptured fault planes. Our model uses a 60 km thick elastic layer above a viscoelastic asthenosphere with Burgers body rheology. The mantle below depth 220 km has a Maxwell rheology. Assuming a low transient viscosity in the 60–220 km depth range, the GRACE data are best explained by a constant steady state viscosity throughout the ductile portion of the upper mantle (e.g., 60–660 km). This suggests that the localization of relatively low viscosity in the asthenosphere is chiefly in the transient viscosity rather than the steady state viscosity. We find a 8.10<sup>18</sup><span>&nbsp;</span>Pa s mantle viscosity in the 220–660 km depth range. This may indicate a transient response of the upper mantle to the high amount of stress released by the earthquakes. To fit the remaining misfit to the GRACE data, larger at the smaller spatial scales, cumulative afterslip of about 75 cm at depth should be added over the period spanned by the GRACE models. It produces only small crustal displacements. Our results confirm that satellite gravity data are an essential complement to ground geodetic and geophysical networks in order to understand the seismic cycle and the Earth's inner structure.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009GC002905","usgsCitation":"Panet, I., Pollitz, F., Mikhailov, V., Diament, M., Banerjee, P., and Grijalva, K., 2010, Upper mantle rheology from GRACE and GPS postseismic deformation after the 2004 Sumatra-Andaman earthquake: Geochemistry, Geophysics, Geosystems, v. 11, no. 6, Q06008, 20 p., https://doi.org/10.1029/2009GC002905.","productDescription":"Q06008, 20 p.","costCenters":[],"links":[{"id":475717,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-01356011","text":"External Repository"},{"id":406158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Andaman Sea, Sumatra","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              97.84423828125,\n              -0.06591795420830737\n            ],\n            [\n              99.07470703125,\n              0.7031073524364909\n            ],\n            [\n              98.7451171875,\n              1.845383988573187\n            ],\n            [\n              97.8662109375,\n              2.5040852618529215\n            ],\n            [\n              97.71240234375,\n              3.030812122664383\n            ],\n            [\n              96.85546875,\n              3.9519408561575946\n            ],\n            [\n              95.38330078125,\n              5.156598738411155\n            ],\n            [\n              94.15283203125,\n              7.27529233637217\n            ],\n            [\n              92.8125,\n              9.925565912405506\n            ],\n            [\n              93.27392578125,\n              13.7313809749427\n            ],\n            [\n              92.46093749999999,\n              13.987376214146467\n            ],\n            [\n              91.93359375,\n              14.00869637063467\n            ],\n            [\n              91.49414062499999,\n              10.595820834654047\n            ],\n            [\n              93.2958984375,\n              6.075011000682009\n            ],\n            [\n              95.625,\n              2.701635047944533\n            ],\n            [\n              96.6357421875,\n              1.691648704756987\n            ],\n            [\n              97.84423828125,\n              -0.06591795420830737\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Panet, I.","contributorId":103862,"corporation":false,"usgs":true,"family":"Panet","given":"I.","email":"","affiliations":[],"preferred":false,"id":850724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mikhailov, V.","contributorId":37953,"corporation":false,"usgs":true,"family":"Mikhailov","given":"V.","affiliations":[],"preferred":false,"id":850726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diament, M.","contributorId":90104,"corporation":false,"usgs":true,"family":"Diament","given":"M.","affiliations":[],"preferred":false,"id":850727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banerjee, P.","contributorId":90525,"corporation":false,"usgs":true,"family":"Banerjee","given":"P.","email":"","affiliations":[],"preferred":false,"id":850728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grijalva, K.","contributorId":72204,"corporation":false,"usgs":true,"family":"Grijalva","given":"K.","email":"","affiliations":[],"preferred":false,"id":850729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209745,"text":"70209745 - 2010 - Three-dimensional geologic modeling of the Santa Rosa Plain, California ","interactions":[],"lastModifiedDate":"2020-04-23T17:01:14.298967","indexId":"70209745","displayToPublicDate":"2010-06-01T11:55:03","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional geologic modeling of the Santa Rosa Plain, California ","docAbstract":"<p>New three-dimensional (3D) lithologic and stratigraphic models of the Santa Rosa Plain (California, USA) delineate the thickness, extent, and distribution of subsurface geologic units and allow integration of diverse data sets to produce a lithologic, stratigraphic, and structural architecture for the region. This framework can be used to predict pathways of groundwater flow beneath the Santa Rosa Plain and potential areas of enhanced or focused seismic shaking.</p><p>Lithologic descriptions from 2683 wells were simplified to 19 internally consistent lithologic classes. These distinctive lithologic classes were used to construct a 3D model of lithologic variations within the basin by extrapolating data away from drill holes using a nearest-neighbor approach. Subsurface stratigraphy was defined through the identification of distinctive lithologic packages tied, where possible, to high-quality well control and to surface exposures. The 3D stratigraphic model consists of three bounding components: fault surfaces, stratigraphic surfaces, and a surface representing the top of pre-Cenozoic basement, derived from inversion of regional gravity data.</p><p>The 3D lithologic model displays a west to east transition from dominantly marine sands to heterogeneous continental sediments. In contrast to previous stratigraphic studies, the new models emphasize the prevalence of the clay-rich Petaluma Formation and its heterogeneous nature. Isopach maps of the Glen Ellen Formation and the 3D stratigraphic model show the influence of the Trenton Ridge, a concealed basement ridge that bisects the plain, on sedimentation; the thickest deposits of the Glen Ellen Formation are confined to north of the Trenton Ridge.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00513.1","usgsCitation":"Sweetkind, D.S., Taylor, E.M., McCabe, C.A., Langenheim, V., and McLaughlin, R.J., 2010, Three-dimensional geologic modeling of the Santa Rosa Plain, California : Geosphere, v. 6, no. 3, p. 237-274, https://doi.org/10.1130/GES00513.1.","productDescription":"38 p.","startPage":"237","endPage":"274","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":475718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00513.1","text":"Publisher Index Page"},{"id":374232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Rosa Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.97134399414061,\n              38.21444607848999\n            ],\n            [\n              -122.4755859375,\n              38.21444607848999\n            ],\n            [\n              -122.4755859375,\n              38.634036452919226\n            ],\n            [\n              -122.97134399414061,\n              38.634036452919226\n            ],\n            [\n              -122.97134399414061,\n              38.21444607848999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796 dsweetkind@usgs.gov","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":139913,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald","email":"dsweetkind@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Emily M. 0000-0003-1152-5761 emtaylor@usgs.gov","orcid":"https://orcid.org/0000-0003-1152-5761","contributorId":127802,"corporation":false,"usgs":true,"family":"Taylor","given":"Emily","email":"emtaylor@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":787810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Craig A.","contributorId":69256,"corporation":false,"usgs":true,"family":"McCabe","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":787811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":206978,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":787812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":787813,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118931,"text":"70118931 - 2010 - A cost-benefit analysis of preventative management for zebra and quagga mussels in the Colorado-Big Thompson System","interactions":[],"lastModifiedDate":"2018-01-12T12:30:52","indexId":"70118931","displayToPublicDate":"2010-06-01T11:33:56","publicationYear":"2010","noYear":false,"publicationType":{"id":21,"text":"Thesis"},"publicationSubtype":{"id":28,"text":"Thesis"},"title":"A cost-benefit analysis of preventative management for zebra and quagga mussels in the Colorado-Big Thompson System","docAbstract":"<p>Zebra and quagga mussels are fresh water invaders that have the potential to \ncause severe ecological and economic damage. It is estimated that mussels cause $1 \nbillion dollars per year in damages to water infrastructure and industries in the \nUnited States (Pimentel et al., 2004). Following their introduction to the Great \nLakes in the late 1980s, mussels spread rapidly throughout the Mississippi River \nBasin and the Eastern U.S. The mussel invasion in the West is young. Mussels were \nfirst identified in Nevada in 2007, and have since been identified in California, \nArizona, Colorado, Utah, and Texas.</p>\n<br/>\n<p>Western water systems are very different from those found in the East. The \nrapid spread of mussels through the eastern system was facilitated by connected \nand navigable waterways. Western water systems are less connected and are \ncharacterized by man-made reservoirs and canals. The main vector of spread for \nmussels in the West is overland on recreational boats (Bossenbroek et al., 2001). In \nresponse to the invasion, many western water managers have implemented \npreventative management programs to slow the overland spread of mussels on \nrecreational boats. In Colorado, the Colorado Department of Wildlife (CDOW) has \nimplemented a mandatory boat inspection program that requires all trailered boats \nto be inspected before launching in any Colorado water body. The objective of this \nstudy is to analyze the costs and benefits of the CDOW boat inspection program in Colorado, and to identify variables that affect the net benefits of preventative \nmanagement.</p>\n<br/>\n<p>Predicting the potential economic benefits of slowing the spread of mussels \nrequires integrating information about mussel dispersal potential with estimates of \ncontrol costs (Keller et al., 2009). Uncertainty surrounding the probabilities of \nestablishment, the timing of invasions, and the damage costs associated with an \ninvasion make a simulation model an excellent tool for addressing \"what if\" \nscenarios and shedding light on the net benefits of preventative management \nstrategies. This study builds a bioeconomic simulation model to predict and compare the expected economic costs of the CDOW boat inspection program ot the benefits of reduced expected control costs to water conveyance systems, hydropower generation stations, and minicipal water treatment facilities.  The model is based on a case study water delivery and storage system, the Colorado-Big Thompson system.  The Colorado-Big Thomspon system is an excellent example of water systems in the Rocky Mountain West.  The system is nearly entirely man-made, with all of its reservoirs and delivery points connected via pipelines, tunnels, and canals.  The structures and hydropower systems of the Colorado-Big Thompson system are common to other western storage and delivery systems, making the methods and insight developed from this case study transferal to other western systems.</p>\n<br/>\n<p>The model developed in this study contributes to the bioeconomic literature in several ways.  Foremost, the model predicts the spread of dreissena mussels and associated damage costs for a connected water system in the Rocky Mountain West.  Very few zebra mussel studies have focused on western water systems.  Another distinguishing factor is the simultaneous consideration of spread from propagules introduced by boats and by flows.  Most zebra mussel dispersal models consider boater movement patterns combined with limnological characteristics as predictors of spread.  A separate set of studies have addressed mussel spread via downstream flows.  To the author's knowledge, this is the first study that builds a zebra mussel spread model that specifically accounts for propagule pressure from boat introductions and from downstream flow introductions.  By modeling an entire connected system, the study highlights how the spatial layout of a system, and the risk of invasion within a system affect the benefits of preventative management.</p>\n<br/>\n<p>This report is presented in five chapters.  The first chapter provides background information including a history of the zebra mussel invasion in the U.S. and in the West, and details about the Colorado preventative management program and the Colorado-Big Thompson system.  The chapter also includes a literature review of mussel dispersal models and economic studies that address control costs and preventative management for aquatic invasive species.  Chapter 2 presents the methodological approach used to analyze the costs and benefits of preventative management in the Colorado-Big Thompson system and provides details of the bioeconomic simulation model used to predict invasion patterns and the net benefits of preventative management.  Results of the analysis and sensitivity testing of model parameters are presented in Chapter 3.  Chapter 4 provides a summary of the analysis and conclusions.  A discussion of the limitations of the model and areas for future research is presented in Chapter 5.</p>","language":"English","publisher":"Colorado State University","publisherLocation":"Fort Collins, CO","usgsCitation":"Thomas, C.M., 2010, A cost-benefit analysis of preventative management for zebra and quagga mussels in the Colorado-Big Thompson System, xi, 185 p.","productDescription":"xi, 185 p.","numberOfPages":"194","costCenters":[],"links":[{"id":291487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg","text":"https://pubs.er.usgs.gov/manager/#bibliodata-pane"},{"id":350426,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://dspace.library.colostate.edu/handle/10217/39343"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53db583fe4b0fba533fa355f","contributors":{"authors":[{"text":"Thomas, Catherine M. 0000-0001-8168-1271","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":29331,"corporation":false,"usgs":true,"family":"Thomas","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":497522,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148185,"text":"70148185 - 2010 - Interactive effects of senescence and natural disturbance on the annual survival probabilities of snail kites","interactions":[],"lastModifiedDate":"2015-05-26T10:23:44","indexId":"70148185","displayToPublicDate":"2010-06-01T11:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of senescence and natural disturbance on the annual survival probabilities of snail kites","docAbstract":"<p>Individuals in wild populations face risks associated with both intrinsic (i.e. aging) and external (i.e. environmental) sources of mortality. Condition-dependent mortality occurs when there is an interaction between such factors; however, few studies have clearly demonstrated condition-dependent mortality and some have even argued that condition-dependent mortality does not occur in wild avian populations. Using large sample sizes (2084 individuals, 3746 re-sights) of individual-based longitudinal data collected over a 33 year period (1976-2008) on multiple cohorts, we used a capture-mark-recapture framework to model age-dependent survival in the snail kite Rostrhamus sociabilis plumbeus population in Florida. Adding to the growing amount of evidence for actuarial senescence in wild populations, we found evidence of senescent declines in survival probabilities in adult kites. We also tested the hypothesis that older kites experienced condition-dependent mortality during a range-wide drought event (2000-2002). The results provide convincing evidence that the annual survival probability of senescent kites was disproportionately affected by the drought relative to the survival probability of prime-aged adults. To our knowledge, this is the first evidence of condition-dependent mortality to be demonstrated in a wild avian population, a finding which challenges recent conclusions drawn in the literature. Our study suggests that senescence and condition-dependent mortality can affect the demography of wild avian populations. Accounting for these sources of variation may be particularly important to appropriately compute estimates of population growth rate, and probabilities of quasi-extinctions.</p>","language":"English","publisher":"Scandinavian Society Oikos","publisherLocation":"Copenhagen","doi":"10.1111/j.1600-0706.2010.18366.x","collaboration":"US Army Corps of Engineers; US Fish and Wildlife Service; St Johns River Water Management District; USGS","usgsCitation":"Reichert, B.E., Martin, J., Kendall, W.L., Cattau, C.E., and Kitchens, W.M., 2010, Interactive effects of senescence and natural disturbance on the annual survival probabilities of snail kites: Oikos, v. 119, no. 6, p. 972-979, https://doi.org/10.1111/j.1600-0706.2010.18366.x.","productDescription":"8 p.","startPage":"972","endPage":"979","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-015221","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-03-19","publicationStatus":"PW","scienceBaseUri":"5565994be4b0d9246a9eb62d","contributors":{"authors":[{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, J.","contributorId":18871,"corporation":false,"usgs":true,"family":"Martin","given":"J.","affiliations":[],"preferred":false,"id":547593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":547594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cattau, Christopher E.","contributorId":54406,"corporation":false,"usgs":true,"family":"Cattau","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":547595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70150455,"text":"70150455 - 2010 - Effects of visible implant elastomer mark colour on the predation of red shiners by largemouth bass","interactions":[],"lastModifiedDate":"2015-06-26T09:35:26","indexId":"70150455","displayToPublicDate":"2010-06-01T10:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of visible implant elastomer mark colour on the predation of red shiners by largemouth bass","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/j.1365-2400.2009.00720.x","usgsCitation":"Bouska, W.W., and Paukert, C.P., 2010, Effects of visible implant elastomer mark colour on the predation of red shiners by largemouth bass: Fisheries Management and Ecology, v. 17, no. 3, p. 294-296, https://doi.org/10.1111/j.1365-2400.2009.00720.x.","productDescription":"3 p.","startPage":"294","endPage":"296","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011013","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-07","publicationStatus":"PW","scienceBaseUri":"558e77b5e4b0b6d21dd65950","contributors":{"authors":[{"text":"Bouska, Wesley W.","contributorId":143724,"corporation":false,"usgs":false,"family":"Bouska","given":"Wesley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":556938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556906,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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