{"pageNumber":"698","pageRowStart":"17425","pageSize":"25","recordCount":40790,"records":[{"id":70042555,"text":"70042555 - 2012 - Tectonic setting of the Wooded Island earthquake swarm, eastern Washington","interactions":[],"lastModifiedDate":"2013-03-01T15:12:19","indexId":"70042555","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic setting of the Wooded Island earthquake swarm, eastern Washington","docAbstract":"Magnetic anomalies provide insights into the tectonic implications of a swarm of ~1500 shallow (~1 km deep) earthquakes that occurred in 2009 on the Hanford site,Washington. Epicenters were concentrated in a 2 km2 area nearWooded Island in the Columbia River. The largest earthquake (M 3.0) had first motions consistent with slip on a northwest-striking reverse fault. The swarm was accompanied by 35 mm of vertical surface deformation, seen in satellite interferometry (InSAR), interpreted to be caused by ~50 mm of slip on a northwest-striking reverse fault and associated bedding-plane fault in the underlying Columbia River Basalt Group (CRBG). A magnetic anomaly over exposed CRBG at Yakima Ridge 40 km northwest of Wooded Island extends southeastward beyond the ridge to the Columbia River, suggesting that the Yakima Ridge anticline and its associated thrust fault extend southeastward in the subsurface. In map view, the concealed anticline passes through the earthquake swarm and lies parallel to reverse faults determined from first motions and InSAR data. A forward model of the magnetic anomaly near Wooded Island is consistent with uplift of concealed CRBG, with the top surface <200 m below the surface. The earthquake swarm and the thrust and bedding-plane faults modeled from interferometry all fall within the northeastern limb of the faulted anticline. Although fluids may be responsible for triggering the Wooded Island earthquake swarm, the seismic and aseismic deformation are consistent with regional-scale tectonic compression across the concealed Yakima Ridge anticline.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GeoScienceWorld","publisherLocation":"Alexandria, VA","doi":"10.1785/0120110189","usgsCitation":"Blakely, R.J., Sherrod, B.L., Weaver, C.S., Rohay, A.C., and Wells, R., 2012, Tectonic setting of the Wooded Island earthquake swarm, eastern Washington: Bulletin of the Seismological Society of America, v. 102, no. 4, p. 1786-1795, https://doi.org/10.1785/0120110189.","productDescription":"10 p.","startPage":"1786","endPage":"1795","numberOfPages":"10","ipdsId":"IP-029586","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":268633,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110189"},{"id":268634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01611111111111111,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01611111111111111,0.0011111111111111111 ] ] ] } } ] }","volume":"102","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-08","publicationStatus":"PW","scienceBaseUri":"5131dc12e4b0140546f53c3a","contributors":{"authors":[{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","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":471804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L.","contributorId":16874,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":471805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohay, Alan C.","contributorId":8743,"corporation":false,"usgs":true,"family":"Rohay","given":"Alan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":471807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wells, Ray E. 0000-0002-7796-0160 rwells@usgs.gov","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":2692,"corporation":false,"usgs":true,"family":"Wells","given":"Ray E.","email":"rwells@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":471806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039641,"text":"sir20125135 - 2012 - Estimation of natural historical flows for the Manitowish River near Manitowish Waters, Wisconsin","interactions":[],"lastModifiedDate":"2018-02-06T12:26:43","indexId":"sir20125135","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","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":"2012-5135","title":"Estimation of natural historical flows for the Manitowish River near Manitowish Waters, Wisconsin","docAbstract":"The Wisconsin Department of Natural Resources is charged with oversight of dam operations throughout Wisconsin and is considering modifications to the operating orders for the Rest Lake Dam in Vilas County, Wisconsin. State law requires that the operation orders be tied to natural low flows at the dam. Because the presence of the dam confounds measurement of natural flows, the U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources, installed streamflow-gaging stations and developed two statistical methods to improve estimates of natural flows at the Rest Lake Dam. Two independent methods were used to estimate daily natural flow for the Manitowish River approximately 1 mile downstream of the Rest Lake Dam. The first method was an adjusted drainage-area ratio method, which used a regression analysis that related measured water yield (flow divided by watershed area) from short-term (2009&ndash;11) gaging stations upstream of the Manitowish Chain of Lakes to the water yield from two nearby long-term gaging stations in order to extend the flow record (1991&ndash;2011). In this approach, the computed flows into the Chain of Lakes at the upstream gaging stations were multiplied by a coefficient to account for the monthly hydrologic contributions (precipitation, evaporation, groundwater, and runoff) associated with the additional watershed area between the upstream gaging stations and the dam at the outlet of the Chain of Lakes (Rest Lake Dam). The second method used to estimate daily natural flow at the Rest Lake Dam was a water-budget approach, which used lake stage and dam outflow data provided by the dam operator. A water-budget model was constructed and then calibrated with an automated parameter-estimation program by matching simulated flow-duration statistics with measured flow-duration statistics at the upstream gaging stations. After calibration of the water-budget model, the model was used to compute natural flow at the dam from 1973 to 2011. Daily natural flows at the dam, as computed by the adjusted drainage-area ratio method and the water-budget method, were used to compute monthly flow-duration values for the period of historical data available for each method. Monthly flow-durations provide a means for evaluating the frequency and range in flows that have been observed for each month over the course of many years. Both methods described the pattern and timing of measured high-flow and low-flow events at the upstream gaging stations. The adjusted drainage-area ratio method generally had smaller residual errors across the full range of observed flows and had smaller monthly biases than the water-budget method. Although it is not possible to evaluate which method may be more \"correct\" for estimating monthly natural flows at the dam, comparisons between the results of each method indicate that the adjusted drainage-area ratio method may be susceptible to biases at high flows due to isolated storms outside of the Manitowish River watershed. Conversely, it appears that the water-budget method may be susceptible to biases at low flows because of its sensitivity to the accuracy of reported lake stage and outflows, as well as effects of upstream diversions that could not be fully compensated for with this method. Results from both methods are useful for understanding the natural flow patterns at the dam. Flows for both methods have similar patterns, with high median flows in spring and low median flows in late summer. Similarly, the range from monthly high-flow durations to low-flow durations increases during spring, decreases during summer, and increases again during fall. These seasonal patterns illustrate a challenge with interpreting a single value of natural low flow. That is, a natural low flow computed for September is not representative of a natural low flow in April. Moreover, alteration of natural flows caused by storing water in the Chain of Lakes during spring and releasing it in fall causes a change in the timing of high and low flows compared with natural conditions. That is, the lowest reported dam outflows occurred in spring and highest reported outflows occurred in fall, which is opposite the natural patterns.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125135","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Juckem, P.F., Reneau, P.C., and Robertson, D.M., 2012, Estimation of natural historical flows for the Manitowish River near Manitowish Waters, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2012-5135, vi, 32 p.; col. ill.; map (col.); Appendix, https://doi.org/10.3133/sir20125135.","productDescription":"vi, 32 p.; col. ill.; map (col.); Appendix","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":259724,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5135.jpg"},{"id":259716,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5135/","linkFileType":{"id":5,"text":"html"}},{"id":259717,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5135/pdf/sir2012-5135_web.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Wisconsin","otherGeospatial":"Manitowish River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b99e4b0c8380cd527c1","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul C. 0000-0002-1335-7573 pcreneau@usgs.gov","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":4385,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","email":"pcreneau@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039630,"text":"sir20125042 - 2012 - Groundwater quality and simulation of sources of water to wells in the Marsh Creek valley at the U.S. Geological Survey Northern Appalachian Research Laboratory, Tioga County, Pennsylvania","interactions":[],"lastModifiedDate":"2012-08-18T01:01:45","indexId":"sir20125042","displayToPublicDate":"2012-08-17T00:00:00","publicationYear":"2012","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":"2012-5042","title":"Groundwater quality and simulation of sources of water to wells in the Marsh Creek valley at the U.S. Geological Survey Northern Appalachian Research Laboratory, Tioga County, Pennsylvania","docAbstract":"This report provides a November 2010 snapshot of groundwater quality and an analysis of the sources of water to wells at the U.S. Geological Survey (USGS) Northern Appalachian Research Laboratory (NARL) near Wellsboro, Pennsylvania. The laboratory, which conducts fisheries research, currently (2011) withdraws 1,000 gallons per minute of high-quality groundwater from three wells completed in the glacial sand and gravel aquifer beneath the Marsh Creek valley; a fourth well that taps the same aquifer provides the potable supply for the facility. The study was conducted to document the source areas and quality of the water supply for this Department of Interior facility, which is surrounded by the ongoing development of natural gas from the Marcellus Shale. Groundwater samples were collected from the four wells used by the NARL and from two nearby domestic-supply wells. The domestic-supply wells withdraw groundwater from bedrock of the Catskill Formation. Samples were analyzed for major ions, nutrients, trace metals, radiochemicals, dissolved gases, and stable isotopes of oxygen and hydrogen in water and carbon in dissolved carbonate to document groundwater quality. Organic constituents (other than hydrocarbon gases) associated with hydraulic fracturing and other human activities were not analyzed as part of this assessment. Results show low concentrations of all constituents. Only radon, which ranged from 980 to 1,310 picocuries per liter, was somewhat elevated. These findings are consistent with the pristine nature of the aquifer in the Marsh Creek valley, which is the reason the laboratory was sited at this location. The sources of water and areas contributing recharge to wells were identified by the use of a previously documented MODFLOW groundwater-flow model for the following conditions: (1) withdrawals of 1,000 to 3,000 gallons per minute from the NARL wells, (2) average or dry hydrologic conditions, and (3) withdrawals of 1,000 gallons per minute from a new well 3,500 feet to the southwest that was drilled to provide water for Marcellus gas-well operations. Results of simulations indicate that during average hydrologic conditions, infiltration from Straight Run, a tributary to Marsh Creek, provides nearly all the water to the NARL wells. During dry conditions, the areas contributing recharge expand such that Asaph Run contributes about half of the water to the NARL wells when withdrawals are 1,000 or 2,000 gallons per minute. The addition of a simulated withdrawal of 1,000 gallons per minute from the nearby new well does not substantially affect the sources of water captured by the NARL wells. These results are subject to some limitations. The water-quality samples represent a snapshot of groundwater chemistry for only one hydrologic condition; the concentrations of some constituents may change temporally. In addition, samples were collected and analyzed for hydrocarbon gases, but not organic constituents associated with hydraulic fracturing; additional sampling for these constituents would provide a more complete water-quality baseline. The sources contributing water to the NARL wells and the new well were simulated by use of a simplified one-layer model of the glacial sand and gravel aquifer for steady-state conditions that in reality are never achieved. Steady-state simulations of dry hydrologic conditions show that it is possible for the NARL wells to capture water from Asaph Run; however, maps of simulated groundwater time-of-travel indicate that a dry period of unusually long duration would be required. A better analysis could be done by recalibrating the groundwater-flow model with a finite-difference grid having multiple layers, cells smaller than the 200-foot by 200-foot cells used in this study, and transient stress periods.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125042","usgsCitation":"Risser, D.W., and Breen, K.J., 2012, Groundwater quality and simulation of sources of water to wells in the Marsh Creek valley at the U.S. Geological Survey Northern Appalachian Research Laboratory, Tioga County, Pennsylvania: U.S. Geological Survey Scientific Investigations Report 2012-5042, vii, 41 p., https://doi.org/10.3133/sir20125042.","productDescription":"vii, 41 p.","numberOfPages":"54","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":259705,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5042.png"},{"id":259701,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5042/pdf/sir2012-5042.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259700,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5042/","linkFileType":{"id":5,"text":"html"}}],"scale":"2400","country":"United States","state":"Pennsylvania","county":"Tioga County","city":"Wellsboro","otherGeospatial":"Asaph Run;Marsh Creek;Straight Run","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.41666666666667,41.766666666666666 ], [ -77.41666666666667,41.78333333333333 ], [ -77.38333333333334,41.78333333333333 ], [ -77.38333333333334,41.766666666666666 ], [ -77.41666666666667,41.766666666666666 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2daee4b0c8380cd5bfa9","contributors":{"authors":[{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breen, Kevin J. 0000-0002-9447-6469 kjbreen@usgs.gov","orcid":"https://orcid.org/0000-0002-9447-6469","contributorId":219,"corporation":false,"usgs":true,"family":"Breen","given":"Kevin","email":"kjbreen@usgs.gov","middleInitial":"J.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":466635,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039619,"text":"70039619 - 2012 - A modified night-netting technique for recapturing quail","interactions":[],"lastModifiedDate":"2016-12-14T11:27:32","indexId":"70039619","displayToPublicDate":"2012-08-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"A modified night-netting technique for recapturing quail","docAbstract":"Difficulties in recapturing radiomarked birds often prevent wildlife researchers from replacing transmitters and continuing to collect data over long time periods. We developed an effective, inexpensive capture technique for radiomarked mountain quail (Oreortyx pictus). Twenty-three of 25 mountain quail in south-central Idaho, USA, in 2006 and 2007 were recaptured for transmitter replacement. This technique will provide researchers with an opportunity to recapture relatively small birds, particularly those in dense vegetation, to help conduct long-term studies.","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/wsb.176","usgsCitation":"Troy, R.J., Coates, P.S., Connelly, J., Gillette, G., and Delehanty, D.J., 2012, A modified night-netting technique for recapturing quail: Wildlife Society Bulletin, v. 36, no. 3, p. 578-581, https://doi.org/10.1002/wsb.176.","productDescription":"4 p.","startPage":"578","endPage":"581","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500046,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/f90cc18fae034ddb84d1e6a78d753059","text":"External Repository"},{"id":259668,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259664,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.176","linkFileType":{"id":5,"text":"html"}}],"volume":"36","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-08-10","publicationStatus":"PW","scienceBaseUri":"5059e485e4b0c8380cd466b5","contributors":{"authors":[{"text":"Troy, Ronald J.","contributorId":91733,"corporation":false,"usgs":true,"family":"Troy","given":"Ronald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":466602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connelly, John W.","contributorId":32391,"corporation":false,"usgs":true,"family":"Connelly","given":"John W.","affiliations":[],"preferred":false,"id":466603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillette, Gifford","contributorId":36410,"corporation":false,"usgs":true,"family":"Gillette","given":"Gifford","affiliations":[],"preferred":false,"id":466604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Delehanty, David J.","contributorId":80811,"corporation":false,"usgs":true,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466605,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039615,"text":"70039615 - 2012 - Tampa Bay coastal wetlands: nineteenth to twentieth century tidal marsh-to-mangrove conversion","interactions":[],"lastModifiedDate":"2012-08-17T01:01:55","indexId":"70039615","displayToPublicDate":"2012-08-16T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Tampa Bay coastal wetlands: nineteenth to twentieth century tidal marsh-to-mangrove conversion","docAbstract":"Currently, mangroves dominate the tidal wetlands of Tampa Bay, Florida, but an examination of historic navigation charts revealed dominance of tidal marshes with a mangrove fringe in the 1870s. This study's objective was to conduct a new assessment of wetland change in Tampa Bay by digitizing nineteenth century topographic and public land surveys and comparing these to modern coastal features at four locations. We differentiate between wetland loss, wetland gain through marine transgression, and a wetland conversion from marsh to mangrove. Wetland loss was greatest at study sites to the east and north. Expansion of the intertidal zone through marine transgression, across adjacent low-lying land, was documented primarily near the mouth of the bay. Generally, the bay-wide marsh-to-mangrove ratio reversed from 86:14 to 25:75 in 125 years. Conversion of marsh to mangrove wetlands averaged 72 % at the four sites, ranging from 52 % at Old Tampa Bay to 95 % at Feather Sound. In addition to latitudinal influences, intact wetlands and areas with greater freshwater influence exhibited a lower rate of marsh-to-mangrove conversion. Two sources for nineteenth century coastal landscape were in close agreement, providing an unprecedented view of historic conditions in Tampa Bay.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s12237-012-9503-1","usgsCitation":"Raabe, E.A., Roy, L.C., and McIvor, C.C., 2012, Tampa Bay coastal wetlands: nineteenth to twentieth century tidal marsh-to-mangrove conversion: Estuaries and Coasts, v. 35, no. 5, p. 1145-1162, https://doi.org/10.1007/s12237-012-9503-1.","productDescription":"18 p.","startPage":"1145","endPage":"1162","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259674,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-012-9503-1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-05-30","publicationStatus":"PW","scienceBaseUri":"505ba3d1e4b08c986b31fef5","contributors":{"authors":[{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Laura C.","contributorId":54454,"corporation":false,"usgs":true,"family":"Roy","given":"Laura","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIvor, Carole C.","contributorId":73254,"corporation":false,"usgs":true,"family":"McIvor","given":"Carole","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":466568,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042376,"text":"70042376 - 2012 - Shifting species interactions in terrestrial dryland ecosystems under altered water availability and climate change","interactions":[],"lastModifiedDate":"2013-04-30T12:07:10","indexId":"70042376","displayToPublicDate":"2012-08-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Shifting species interactions in terrestrial dryland ecosystems under altered water availability and climate change","docAbstract":"Species interactions play key roles in linking the responses of populations, communities, and ecosystems to environmental change. For instance, species interactions are an important determinant of the complexity of changes in trophic biomass with variation in resources. Water resources are a major driver of terrestrial ecology and climate change is expected to greatly alter the distribution of this critical resource. While previous studies have documented strong effects of global environmental change on species interactions in general, responses can vary from region to region. Dryland ecosystems occupy more than one-third of the Earth's land mass, are greatly affected by changes in water availability, and are predicted to be hotspots of climate change. Thus, it is imperative to understand the effects of environmental change on these globally significant ecosystems.  Here, we review studies of the responses of population-level plant-plant, plant-herbivore, and predator-prey interactions to changes in water availability in dryland environments in order to develop new hypotheses and predictions to guide future research. To help explain patterns of interaction outcomes, we developed a conceptual model that views interaction outcomes as shifting between (1) competition and facilitation (plant-plant), (2) herbivory, neutralism, or mutualism (plant-herbivore), or (3) neutralism and predation (predator-prey), as water availability crosses physiological, behavioural, or population-density thresholds. We link our conceptual model to hypothetical scenarios of current and future water availability to make testable predictions about the influence of changes in water availability on species interactions. We also examine potential implications of our conceptual model for the relative importance of top-down effects and the linearity of patterns of change in trophic biomass with changes in water availability. Finally, we highlight key research needs and some possible broader impacts of our findings. Overall, we hope to stimulate and guide future research that links changes in water availability to patterns of species interactions and the dynamics of populations and communities in dryland ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1469-185X.2011.00209.x","usgsCitation":"McCluney, K.E., Belnap, J., Collins, S., Gonzalez, A.L., Hagen, E.M., Holland, J.N., Kotler, B.P., Maestre, F.T., Smith, S., and Wolf, B.O., 2012, Shifting species interactions in terrestrial dryland ecosystems under altered water availability and climate change: Biological Reviews, v. 87, no. 3, p. 563-582, https://doi.org/10.1111/j.1469-185X.2011.00209.x.","productDescription":"20 p.","startPage":"563","endPage":"582","numberOfPages":"20","ipdsId":"IP-022117","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488949,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3304283","text":"External Repository"},{"id":271658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271657,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-185X.2011.00209.x"}],"country":"United States","volume":"87","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-11-17","publicationStatus":"PW","scienceBaseUri":"5180e7ece4b0df838b924da7","contributors":{"authors":[{"text":"McCluney, Kevin E.","contributorId":10310,"corporation":false,"usgs":true,"family":"McCluney","given":"Kevin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":471407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":471406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Scott L.","contributorId":71307,"corporation":false,"usgs":false,"family":"Collins","given":"Scott L.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":471413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez, Angelica L.","contributorId":29717,"corporation":false,"usgs":true,"family":"Gonzalez","given":"Angelica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Elizabeth M.","contributorId":17115,"corporation":false,"usgs":true,"family":"Hagen","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holland, J. Nathaniel","contributorId":49912,"corporation":false,"usgs":true,"family":"Holland","given":"J.","email":"","middleInitial":"Nathaniel","affiliations":[],"preferred":false,"id":471411,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kotler, Burt P.","contributorId":17508,"corporation":false,"usgs":true,"family":"Kotler","given":"Burt","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471409,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maestre, Fernando T.","contributorId":62450,"corporation":false,"usgs":true,"family":"Maestre","given":"Fernando","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":471412,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Stanley D.","contributorId":83417,"corporation":false,"usgs":true,"family":"Smith","given":"Stanley D.","affiliations":[],"preferred":false,"id":471414,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolf, Blair O.","contributorId":103950,"corporation":false,"usgs":true,"family":"Wolf","given":"Blair","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":471415,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70039608,"text":"sir20125153 - 2012 - Hydrology and modeling of flow conditions at Bridge 339 and Mile 38-43, Copper River Highway, Alaska","interactions":[],"lastModifiedDate":"2012-08-28T15:39:56","indexId":"sir20125153","displayToPublicDate":"2012-08-15T00:00:00","publicationYear":"2012","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":"2012-5153","title":"Hydrology and modeling of flow conditions at Bridge 339 and Mile 38-43, Copper River Highway, Alaska","docAbstract":"The Copper River basin, the sixth largest watershed in Alaska, drains an area of 24,200 square miles in south-central Alaska. This large, glacier-fed river flows across a wide alluvial fan before it enters the Gulf of Alaska. The Copper River Highway, which traverses the alluvial fan, has been affected by channel planform reconfiguration. Currently (2012), two areas of the Copper River Highway are at risk: at Mile 38-43, the road grade is too low and the highway could be flooded by high flows of the Copper River, and at Mile 36, the main channel of the Copper River has migrated directly toward Bridge 339. Because Bridge 339 was not designed and built to convey the main flow of the Copper River, as much as 50 feet of scour occurred at the piers in 2011. The piers can no longer absorb the lateral or vertical loads, resulting in closure of the bridge and the Copper River Highway. The U.S. Geological Survey <u>F</u>low and <u>S</u>ediment <u>T</u>ransport with <u>M</u>orphologic <u>E</u>volution of <u>Ch</u>annels (FaSTMECH) model was used to simulate the flow of the Copper River and produce simulations of depth, water-surface elevation, and velocity. At the Mile 38-43 area, FaSTMECH was used to analyze the effects of raising the road grade 5 feet, and at Mile 36, FaSTMECH was used to analyze the effects of constructing a channel to divert flow away from Bridge 339. Results from FaSTMECH indicate that if raising the road grade 5 feet in the Mile 38-43 area, a flood with an annual exceedance probability of 2 percent (400,000 cubic feet per second) would not overtop the highway. In the Bridge 339 area, results from FaSTMECH indicate that a design channel could divert flows as much as 100,000 cubic feet per second away from Bridge 339.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125153","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities","usgsCitation":"Brabets, T.P., 2012, Hydrology and modeling of flow conditions at Bridge 339 and Mile 38-43, Copper River Highway, Alaska: U.S. Geological Survey Scientific Investigations Report 2012-5153, vi, 26 p., https://doi.org/10.3133/sir20125153.","productDescription":"vi, 26 p.","numberOfPages":"32","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":259625,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5153.jpg"},{"id":259616,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5153/","linkFileType":{"id":5,"text":"html"}},{"id":259617,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5153/PDF/sir20125153.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Alaska Albers Equal Area","datum":"North American Datum of 1983","country":"United States","state":"Alaska","otherGeospatial":"Copper River Highway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -147,60 ], [ -147,64 ], [ -141,64 ], [ -141,60 ], [ -147,60 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a36cbe4b0c8380cd609dd","contributors":{"authors":[{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":466561,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70138020,"text":"70138020 - 2012 - In situ determination of flocculated suspended material settling velocities and characteristics using a floc camera","interactions":[],"lastModifiedDate":"2015-10-23T16:04:14","indexId":"70138020","displayToPublicDate":"2012-08-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"In situ determination of flocculated suspended material settling velocities and characteristics using a floc camera","docAbstract":"<p>Estimates of suspended sediment settling are necessary for numerical sediment models, water quality studies, and rehabilitation of coastal ecosystems. Settling of cohesive sediment, which is common in estuaries, is more difficult to quantify than noncohesive sediment because of flocculation. Flocs are composed of an aggregation of finer silts, clays, and organic material. Floc characteristics, such as the diameter, density, porosity, and water content determine floc settling velocities. A floc camera provides the ability to capture the settling velocities and other desired characteristics of individual flocs in situ. Water samples taken using a Van Dorn sampler are immediately subsampled using a pipette and transferred to the floc camera. The Perspex settling column is outfitted with a LED backlighting to distinguish flocs. The floc camera&rsquo;s high pixel and temporal resolution allows image analysis software to detect individual flocs and process floc statistics per image. Observed changes in floc location with respect to time presents a way of calculating settling velocities. This work presents results of validation tests with known sediment size distributions and of deployment of the camera during a field study.</p>","conferenceTitle":"Hydraulic Measurement and Experimental Methods Conference","conferenceDate":"12-15 August 2012","conferenceLocation":"Utah, USA","language":"English","publisher":"American Society of Civil Engineers","usgsCitation":"Schoellhamer, D., Haught, D., and Manning, A., 2012, In situ determination of flocculated suspended material settling velocities and characteristics using a floc camera, Hydraulic Measurement and Experimental Methods Conference, Utah, USA, 12-15 August 2012, 1 p.","productDescription":"1 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037190","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":310618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a30e4b00162522207d3","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haught, Dan","contributorId":149407,"corporation":false,"usgs":false,"family":"Haught","given":"Dan","affiliations":[],"preferred":false,"id":578312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Andrew","contributorId":149408,"corporation":false,"usgs":false,"family":"Manning","given":"Andrew","affiliations":[],"preferred":false,"id":578313,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039616,"text":"70039616 - 2012 - Sinks for nitrogen inputs in terrestrial ecosystems: a meta-analysis of <sup>15</sup>N tracer field studies","interactions":[],"lastModifiedDate":"2012-08-17T01:01:55","indexId":"70039616","displayToPublicDate":"2012-08-14T12:44:06","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sinks for nitrogen inputs in terrestrial ecosystems: a meta-analysis of <sup>15</sup>N tracer field studies","docAbstract":"Effects of anthropogenic nitrogen (N) deposition and the ability of terrestrial ecosystems to store carbon (C) depend in part on the amount of N retained in the system and its partitioning among plant and soil pools. We conducted a meta-analysis of studies at 48 sites across four continents that used enriched <sup>15</sup>N isotope tracers in order to synthesize information about total ecosystem N retention (i.e., total ecosystem <sup>15</sup>N recovery in plant and soil pools) across natural systems and N partitioning among ecosystem pools. The greatest recoveries of ecosystem <sup>15</sup>N tracer occurred in shrublands (mean, 89.5%) and wetlands (84.8%) followed by forests (74.9%) and grasslands (51.8%). In the short term (<1 week after <sup>15</sup>N tracer application), total ecosystem <sup>15</sup>N recovery was negatively correlated with fine-root and soil <sup>15</sup>N natural abundance, and organic soil C and N concentration but was positively correlated with mean annual temperature and mineral soil C:N. In the longer term (3&ndash;18 months after <sup>15</sup>N tracer application), total ecosystem <sup>15</sup>N retention was negatively correlated with foliar natural-abundance <sup>15</sup>N but was positively correlated with mineral soil C and N concentration and C: N, showing that plant and soil natural-abundance <sup>15</sup>N and soil C:N are good indicators of total ecosystem N retention. Foliar N concentration was not significantly related to ecosystem <sup>15</sup>N tracer recovery, suggesting that plant N status is not a good predictor of total ecosystem N retention. Because the largest ecosystem sinks for <sup>15</sup>N tracer were below ground in forests, shrublands, and grasslands, we conclude that growth enhancement and potential for increased C storage in aboveground biomass from atmospheric N deposition is likely to be modest in these ecosystems. Total ecosystem <sup>15</sup>N recovery decreased with N fertilization, with an apparent threshold fertilization rate of 46 kg N&middot;ha<sup>-1</sup>&middot;yr<sup>-1</sup> above which most ecosystems showed net losses of applied <sup>15</sup>N tracer in response to N fertilizer addition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1146.1","usgsCitation":"Templer, P., Mack, M., Chapin, F.S., Christenson, L., Compton, J., Crook, H., Currie, W., Curtis, C., Dail, D., D’Antonio, C.M., Emmett, B., Epstein, H., Goodale, C., Gundersen, P., Hobbie, S., Holland, K., Hooper, D., Hungate, B., Lamontagne, S., Nadelhoffer, K., Osenberg, C., Perakis, S., Schleppi, P., Schimel, J., Schmidt, I., Sommerkorn, M., Spoelstra, J., Tietema, A., Wessel, W., and Zak, D., 2012, Sinks for nitrogen inputs in terrestrial ecosystems: a meta-analysis of <sup>15</sup>N tracer field studies: Ecology, v. 93, no. 8, p. 1816-1829, https://doi.org/10.1890/11-1146.1.","productDescription":"14 p.","startPage":"1816","endPage":"1829","numberOfPages":"14","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474378,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/11-1146.1","text":"Publisher Index Page"},{"id":259667,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1146.1","linkFileType":{"id":5,"text":"html"}},{"id":259670,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-03","publicationStatus":"PW","scienceBaseUri":"505b90e9e4b08c986b3196d5","contributors":{"authors":[{"text":"Templer, P.H.","contributorId":6310,"corporation":false,"usgs":true,"family":"Templer","given":"P.H.","affiliations":[],"preferred":false,"id":466569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mack, M.C.","contributorId":87238,"corporation":false,"usgs":true,"family":"Mack","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":466593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapin, F. S. 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,{"id":70039494,"text":"ds691 - 2012 - Bioclimatic predictors for supporting ecological applications in the conterminous United States","interactions":[],"lastModifiedDate":"2018-08-10T16:11:20","indexId":"ds691","displayToPublicDate":"2012-08-14T00:00:00","publicationYear":"2012","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":"691","title":"Bioclimatic predictors for supporting ecological applications in the conterminous United States","docAbstract":"The U.S. Geological Survey (USGS) has developed climate indices, referred to as bioclimatic predictors, which highlight climate conditions best related to species physiology. A set of 20 bioclimatic predictors were developed as Geographic Information Systems (GIS) continuous raster surfaces for each year between 1895 and 2009. The Parameter-elevation Regression on Independent Slopes Model (PRISM) and down-scaled PRISM data, which included both averaged multi-year and averaged monthly climate summaries, was used to develop these multi-scale bioclimatic predictors. Bioclimatic predictors capture information about annual conditions (annual mean temperature, annual precipitation, annual range in temperature and precipitation), as well as seasonal mean climate conditions and intra-year seasonality (temperature of the coldest and warmest months, precipitation of the wettest and driest quarters). Examining climate over time is useful when quantifying the effects of climate changes on species' distributions for past, current, and forecasted scenarios. These data, which have not been readily available to scientists, can provide biologists and ecologists with relevant and multi-scaled climate data to augment research on the responses of species to changing climate conditions. The relationships established between species demographics and distributions with bioclimatic predictors can inform land managers of climatic effects on species during decisionmaking processes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds691","usgsCitation":"O’Donnel, M.S., and Ignizio, D., 2012, Bioclimatic predictors for supporting ecological applications in the conterminous United States: U.S. Geological Survey Data Series 691, iv, 10 p.; Download Data, https://doi.org/10.3133/ds691.","productDescription":"iv, 10 p.; Download Data","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":259600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_691.gif"},{"id":259596,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/691/","linkFileType":{"id":5,"text":"html"}},{"id":259597,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/691/ds691.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.38333333333333 ], [ -66.95,49.38333333333333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f144e4b0c8380cd4ab37","contributors":{"authors":[{"text":"O’Donnel, Michael S.","contributorId":100682,"corporation":false,"usgs":true,"family":"O’Donnel","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":4822,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew A.","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":466363,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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This probabilistic approach accurately represented prediction uncertainty (measured with the log likelihood ratio), and it outperformed the baseline prediction (i.e., the prior distribution based on the observations). Finally, sensitivity studies demonstrated that degrading the resolution of the Bayesian network or removing data from the calibration process reduced the skill of the predictions by 30% to 40%. The reduction in skill did not change conclusions regarding the relative importance of the input variables, and the extended model's skill always outperformed the original model.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2011JF002326","usgsCitation":"Plant, N.G., and Stockdon, H.F., 2012, Probabilistic prediction of barrier-island response to hurricanes: Journal of Geophysical Research, v. 117, no. 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,{"id":70154882,"text":"70154882 - 2012 - Estimating tag loss of the Atlantic Horseshoe crab, Limulus polyphemus, using a multi-state model","interactions":[],"lastModifiedDate":"2016-01-06T11:15:44","indexId":"70154882","displayToPublicDate":"2012-08-09T12:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating tag loss of the Atlantic Horseshoe crab, Limulus polyphemus, using a multi-state model","docAbstract":"<p>The Atlantic Horseshoe crab, Limulus polyphemus, is a valuable resource along the Mid-Atlantic coast which has, in recent years, experienced new management paradigms due to increased concern about this species role in the environment. While current management actions are underway, many acknowledge the need for improved and updated parameter estimates to reduce the uncertainty within the management models. 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,{"id":70039519,"text":"ds680 - 2012 - Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application","interactions":[],"lastModifiedDate":"2013-06-04T13:23:21","indexId":"ds680","displayToPublicDate":"2012-08-09T00:00:00","publicationYear":"2012","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":"680","title":"Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application","docAbstract":"The U.S. Geological Survey Hawaii StreamStats application uses an integrated suite of raster and vector geospatial datasets to delineate and characterize watersheds. The geospatial datasets used to delineate and characterize watersheds on the StreamStats website, and the methods used to develop the datasets are described in this report. The datasets for Hawaii were derived primarily from 10 meter resolution National Elevation Dataset (NED) elevation models, and the National Hydrography Dataset (NHD), using a set of procedures designed to enforce the drainage pattern from the NHD into the NED, resulting in an integrated suite of elevation-derived datasets. Additional sources of data used for computing basin characteristics include precipitation, land cover, soil permeability, and elevation-derivative datasets. The report also includes links for metadata and downloads of the geospatial datasets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds680","collaboration":"Prepared in cooperation with the State of Hawaii Department of Transportation","usgsCitation":"Rea, A., and Skinner, K.D., 2012, Geospatial datasets for watershed delineation and characterization used in the Hawaii StreamStats web application: U.S. Geological Survey Data Series 680, iv, 12 p.; Meta Data Files ZIP, https://doi.org/10.3133/ds680.","productDescription":"iv, 12 p.; Meta Data Files ZIP","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":259526,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_680.jpg"},{"id":259522,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/680/","linkFileType":{"id":5,"text":"html"}},{"id":259523,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/680/pdf/ds680.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":273227,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_originaldata.xml"},{"id":273228,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_statewidelayers.xml"},{"id":273225,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_archydroglobal.xml"},{"id":273226,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds680_archydrohucs.xml"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -162,16.916666666666668 ], [ -162,23 ], [ -154.66666666666666,23 ], [ -154.66666666666666,16.916666666666668 ], [ -162,16.916666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a28ace4b0c8380cd5a2e0","contributors":{"authors":[{"text":"Rea, Alan","contributorId":41018,"corporation":false,"usgs":true,"family":"Rea","given":"Alan","affiliations":[],"preferred":false,"id":466415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466414,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039336,"text":"70039336 - 2012 - Identification of the <i>thiamin pyrophosphokinase</i> gene in rainbow trout: Characteristic structure and expression of seven splice variants in tissues and cell lines and during embryo development","interactions":[],"lastModifiedDate":"2016-12-02T13:58:54","indexId":"70039336","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1293,"text":"Comparative Biochemistry and Physiology, Part B: Biochemistry and Molecular Biology","active":true,"publicationSubtype":{"id":10}},"title":"Identification of the <i>thiamin pyrophosphokinase</i> gene in rainbow trout: Characteristic structure and expression of seven splice variants in tissues and cell lines and during embryo development","docAbstract":"Thiamin pyrophosphokinase (TPK) converts thiamin to its active form, thiamin diphosphate. In humans, <i>TPK</i> expression is down-regulated in some thiamin deficiency related syndrome, and enhanced during pregnancy. Rainbow trout are also vulnerable to thiamin deficiency in wild life and are useful models for thiamin metabolism research. We identified the <i>tpk</i> gene transcript including seven splice variants in the rainbow trout. Almost all cell lines and tissues examined showed co-expression of several <i>tpk</i> splice variants including a potentially major one at both mRNA and protein levels. However, relative to other tissues, the longest variant mRNA expression was predominant in the ovary and abundant in embryos. During embryogenesis, total <i>tpk</i> transcripts increased abruptly in early development, and decreased to about half of the peak shortly after hatching. In rainbow trout, the <i>tpk</i> transcript complex is ubiquitously expressed for all tissues and cells examined, and its increase in expression could be important in the early-middle embryonic stages. Moreover, decimated <i>tpk</i> expression in a hepatoma cell line relative to hepatic and gonadal cell lines appears to be consistent with previously reported down-regulation of thiamin metabolism in cancer.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.cbpb.2012.05.017","usgsCitation":"Yuge, S., Richter, C., Wright-Osment, M., Nicks, D., Saloka, S.K., Tillitt, D.E., and Li, W., 2012, Identification of the <i>thiamin pyrophosphokinase</i> gene in rainbow trout: Characteristic structure and expression of seven splice variants in tissues and cell lines and during embryo development: Comparative Biochemistry and Physiology, Part B: Biochemistry and Molecular Biology, v. 163, no. 2, p. 193-202, https://doi.org/10.1016/j.cbpb.2012.05.017.","productDescription":"10 p.","startPage":"193","endPage":"202","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":259509,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"163","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3840e4b0c8380cd614d0","contributors":{"authors":[{"text":"Yuge, Shinya","contributorId":30496,"corporation":false,"usgs":true,"family":"Yuge","given":"Shinya","email":"","affiliations":[],"preferred":false,"id":466086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Catherine A.","contributorId":100990,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine A.","affiliations":[],"preferred":false,"id":466090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright-Osment, Maureen K.","contributorId":40337,"corporation":false,"usgs":true,"family":"Wright-Osment","given":"Maureen K.","affiliations":[],"preferred":false,"id":466087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicks, Diane 0000-0001-8080-2449 dnicks@usgs.gov","orcid":"https://orcid.org/0000-0001-8080-2449","contributorId":4299,"corporation":false,"usgs":true,"family":"Nicks","given":"Diane","email":"dnicks@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":466085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saloka, Stephanie K.","contributorId":53644,"corporation":false,"usgs":true,"family":"Saloka","given":"Stephanie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":466088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":466084,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":466089,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70039426,"text":"70039426 - 2012 - Osteosarcoma of the maxilla with concurrent osteoma in a southern sea otter (Enhydra lutris nereis)","interactions":[],"lastModifiedDate":"2023-10-23T10:55:22.207424","indexId":"70039426","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2224,"text":"Journal of Comparative Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Osteosarcoma of the maxilla with concurrent osteoma in a southern sea otter (Enhydra lutris nereis)","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"aep-abstract-id5\" class=\"abstract author\" lang=\"en\"><div id=\"aep-abstract-sec-id6\"><p id=\"abspara0010\">Southern sea otters (<i>Enhydra lutris nereis</i>) are threatened marine mammals that belong to the family Mustelidae and are native to the coast of Central California. Neoplasia is reported infrequently in sea otters. An adult female free-ranging southern sea otter was found alive at Pebble Beach, Monterey County, California, on January 1st, 1994 and died soon after capture. The carcass was submitted to the US Geological Survey – National Wildlife Health Center for necropsy examination. Grossly, a mass with rubbery texture was firmly attached to the left maxillary region of the skull and the nasopharynx was occluded by soft neoplastic tissue. Post-mortem skull radiographs showed an oval, smoothly marginated mineralized opaque mass centered on the left maxilla, extending from the canine tooth to caudal to the molar and replacing portions of the zygomatic arch and palatine and temporal bones. The majority of the mass protruded laterally from the maxilla and was characterized by central homogeneous mineral opacity. Microscopically, the mass was characterized by fully differentiated lamellar non-osteonal bone that expanded beyond the margins of the adjacent normal osteonal bone. Sections of the nasopharyngeal mass were comprised of moderately pleomorphic cells with bony stroma. Gross, microscopical and radiological findings were compatible with maxillary osteosarcoma with concurrent osteoma.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jcpa.2012.01.017","usgsCitation":"Fernandez, J.R., Thomas, N., Dubielzig, R., and Drees, R., 2012, Osteosarcoma of the maxilla with concurrent osteoma in a southern sea otter (Enhydra lutris nereis): Journal of Comparative Pathology, v. 147, no. 2-3, p. 391-396, https://doi.org/10.1016/j.jcpa.2012.01.017.","productDescription":"6 p.","startPage":"391","endPage":"396","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030743","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474381,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.jcpa.2012.01.017","text":"External Repository"},{"id":259519,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Monterey County","otherGeospatial":"Pebble Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.95446491241454,\n              36.571320425556756\n            ],\n            [\n              -121.95111751556395,\n              36.5670120564234\n            ],\n            [\n              -121.9460964202881,\n              36.563909881837766\n            ],\n            [\n              -121.94137573242186,\n              36.55963557056634\n            ],\n            [\n              -121.93674087524413,\n              36.55715360388979\n            ],\n            [\n              -121.93000316619873,\n              36.557774103033296\n            ],\n            [\n              -121.92451000213623,\n              36.560428404230386\n            ],\n            [\n              -121.92575454711914,\n              36.567080992221406\n            ],\n            [\n              -121.94124698638915,\n              36.57566301841591\n            ],\n            [\n              -121.94944381713867,\n              36.57576641050757\n            ],\n            [\n              -121.95446491241454,\n              36.571320425556756\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"147","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7156e4b0c8380cd76589","chorus":{"doi":"10.1016/j.jcpa.2012.01.017","url":"http://dx.doi.org/10.1016/j.jcpa.2012.01.017","publisher":"Elsevier BV","authors":"Rodriguez-Ramos Fernandez J., Thomas N.J., Dubielzig R.R., Drees R.","journalName":"Journal of Comparative Pathology","publicationDate":"8/2012"},"contributors":{"authors":[{"text":"Fernandez, J. Rodriguez-Ramos","contributorId":36814,"corporation":false,"usgs":true,"family":"Fernandez","given":"J.","email":"","middleInitial":"Rodriguez-Ramos","affiliations":[],"preferred":false,"id":466226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, N. J. 0000-0002-0161-0391","orcid":"https://orcid.org/0000-0002-0161-0391","contributorId":49731,"corporation":false,"usgs":true,"family":"Thomas","given":"N. J.","affiliations":[],"preferred":false,"id":466228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubielzig, R.R.","contributorId":33186,"corporation":false,"usgs":true,"family":"Dubielzig","given":"R.R.","affiliations":[],"preferred":false,"id":466225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drees, R.","contributorId":42848,"corporation":false,"usgs":true,"family":"Drees","given":"R.","email":"","affiliations":[],"preferred":false,"id":466227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039360,"text":"70039360 - 2012 - Seasonal activity and morphological changes in martian gullies","interactions":[],"lastModifiedDate":"2018-11-01T15:41:36","indexId":"70039360","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal activity and morphological changes in martian gullies","docAbstract":"Recent studies of martian dune and non-dune gullies have suggested a seasonal control on present-day gully activity. The timing of current gully activity, especially activity involving the formation or modification of channels (which commonly have been taken as evidence of fluvial processes), has important implications regarding likely gully formation processes and necessary environmental conditions. In this study, we describe the results of frequent meter-scale monitoring of several active gully sites by the High Resolution Imaging Science Experiment (HiRISE) on the Mars Reconnaissance Orbiter (MRO). The aim is to better assess the scope and nature of current morphological changes and to provide improved constraints on timing of gully activity on both dune and non-dune slopes. Our observations indicate that (1) gully formation on Mars is ongoing today and (2) the most significant morphological changes are strongly associated with seasonal frost and defrosting activity. Observed changes include formation of all major components of typical gully landforms, although we have not observed alcove formation in coherent bedrock. These results reduce the need to invoke recent climate change or present-day groundwater seepage to explain the many martian gullies with pristine appearance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.icarus.2012.04.005","usgsCitation":"Dundas, C.M., Diniega, S., Hansen, C.J., Byrne, S., and McEwen, A.S., 2012, Seasonal activity and morphological changes in martian gullies: Icarus, v. 220, no. 1, p. 124-143, https://doi.org/10.1016/j.icarus.2012.04.005.","productDescription":"20 p.","startPage":"124","endPage":"143","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":259517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259514,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2012.04.005","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Mars","volume":"220","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8862e4b08c986b31694d","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":466139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diniega, Serina","contributorId":80532,"corporation":false,"usgs":true,"family":"Diniega","given":"Serina","affiliations":[],"preferred":false,"id":466143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Candice J.","contributorId":70235,"corporation":false,"usgs":false,"family":"Hansen","given":"Candice","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":466140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":466141,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039438,"text":"70039438 - 2012 - Practical estimates of field-saturated hydraulic conductivity of bedrock outcrops using a modified bottomless bucket method","interactions":[],"lastModifiedDate":"2012-09-21T17:16:41","indexId":"70039438","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Practical estimates of field-saturated hydraulic conductivity of bedrock outcrops using a modified bottomless bucket method","docAbstract":"The bottomless bucket (BB) approach (Nimmo et al., 2009a) is a cost-effective method for rapidly characterizing field-saturated hydraulic conductivity Kfs of soils and alluvial deposits. This practical approach is of particular value for quantifying infiltration rates in remote areas with limited accessibility. A similar approach for bedrock outcrops is also of great value for improving quantitative understanding of infiltration and recharge in rugged terrain. We develop a simple modification to the BB method for application to bedrock outcrops, which uses a non-toxic, quick-drying silicone gel to seal the BB to the bedrock. These modifications to the field method require only minor changes to the analytical solution for calculating Kfs on soils. We investigate the reproducibility of the method with laboratory experiments on a previously studied calcarenite rock and conduct a sensitivity analysis to quantify uncertainty in our predictions. We apply the BB method on both bedrock and soil for sites on Pahute Mesa, which is located in a remote area of the Nevada National Security Site. The bedrock BB tests may require monitoring over several hours to days, depending on infiltration rates, which necessitates a cover to prevent evaporative losses. Our field and laboratory results compare well to Kfs values inferred from independent reports, which suggests the modified BB method can provide useful estimates and facilitate simple hypothesis testing. The ease with which the bedrock BB method can be deployed should facilitate more rapid in-situ data collection than is possible with alternative methods for quantitative characterization of infiltration into bedrock.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012WR012053","usgsCitation":"Mirus, B.B., and Perkins, K.S., 2012, Practical estimates of field-saturated hydraulic conductivity of bedrock outcrops using a modified bottomless bucket method: Water Resources Research, v. 48, 6 p.; W09602, https://doi.org/10.1029/2012WR012053.","productDescription":"6 p.; W09602","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":259520,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259513,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012WR012053","linkFileType":{"id":5,"text":"html"}}],"volume":"48","noUsgsAuthors":false,"publicationDate":"2012-09-14","publicationStatus":"PW","scienceBaseUri":"505a80abe4b0c8380cd7b12c","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":466235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, Kim S.","contributorId":106963,"corporation":false,"usgs":true,"family":"Perkins","given":"Kim","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":466236,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039497,"text":"ofr20121146 - 2012 - Analytical resource assessment method for continuous (unconventional) oil and gas accumulations - The \"ACCESS\" Method","interactions":[],"lastModifiedDate":"2012-08-09T01:02:15","indexId":"ofr20121146","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","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":"2012-1146","title":"Analytical resource assessment method for continuous (unconventional) oil and gas accumulations - The \"ACCESS\" Method","docAbstract":"The U.S. Geological Survey (USGS) periodically assesses petroleum resources of areas within the United States and the world. The purpose of this report is to explain the development of an analytic probabilistic method and spreadsheet software system called Analytic Cell-Based Continuous Energy Spreadsheet System (ACCESS). The ACCESS method is based upon mathematical equations derived from probability theory. The ACCESS spreadsheet can be used to calculate estimates of the undeveloped oil, gas, and NGL (natural gas liquids) resources in a continuous-type assessment unit. An assessment unit is a mappable volume of rock in a total petroleum system. In this report, the geologic assessment model is defined first, the analytic probabilistic method is described second, and the spreadsheet ACCESS is described third. In this revised version of Open-File Report 00-044 , the text has been updated to reflect modifications that were made to the ACCESS program. Two versions of the program are added as appendixes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121146","collaboration":"Revised version of Open-File Report 00?044","usgsCitation":"Crovelli, R.A., and revised by Charpentier, R.R., 2012, Analytical resource assessment method for continuous (unconventional) oil and gas accumulations - The \"ACCESS\" Method (Revised 2012 by Ronald R. Charpentier): U.S. Geological Survey Open-File Report 2012-1146, iii, 32 p.; ACCESS Version 1 XLS; ACCESS Version 3 XLS, https://doi.org/10.3133/ofr20121146.","productDescription":"iii, 32 p.; ACCESS Version 1 XLS; ACCESS Version 3 XLS","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259499,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1146.bmp"},{"id":259496,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1146/","linkFileType":{"id":5,"text":"html"}},{"id":259497,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1146/OF12-1146.pdf","linkFileType":{"id":1,"text":"pdf"}}],"edition":"Revised 2012 by Ronald R. Charpentier","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eb6de4b0c8380cd48dc9","contributors":{"authors":[{"text":"Crovelli, Robert A.","contributorId":92242,"corporation":false,"usgs":true,"family":"Crovelli","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"revised by Charpentier, Ronald R.","contributorId":45948,"corporation":false,"usgs":true,"family":"revised by Charpentier","given":"Ronald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":466367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039483,"text":"70039483 - 2012 - Multivariate statistical approach to estimate mixing proportions for unknown end members","interactions":[],"lastModifiedDate":"2017-10-14T11:28:37","indexId":"70039483","displayToPublicDate":"2012-08-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate statistical approach to estimate mixing proportions for unknown end members","docAbstract":"A multivariate statistical method is presented, which includes principal components analysis (PCA) and an end-member mixing model to estimate unknown end-member hydrochemical compositions and the relative mixing proportions of those end members in mixed waters. PCA, together with the Hotelling <i>T</i><sup>2</sup> statistic and a conceptual model of groundwater flow and mixing, was used in selecting samples that best approximate end members, which then were used as initial values in optimization of the end-member mixing model. This method was tested on controlled datasets (i.e., true values of estimates were known a priori) and found effective in estimating these end members and mixing proportions. The controlled datasets included synthetically generated hydrochemical data, synthetically generated mixing proportions, and laboratory analyses of sample mixtures, which were used in an evaluation of the effectiveness of this method for potential use in actual hydrological settings. For three different scenarios tested, correlation coefficients (<i>R</i><sup>2</sup>) for linear regression between the estimated and known values ranged from 0.968 to 0.993 for mixing proportions and from 0.839 to 0.998 for end-member compositions. The method also was applied to field data from a study of end-member mixing in groundwater as a field example and partial method validation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2012.06.037","usgsCitation":"Valder, J., Long, A.J., Davis, A.D., and Kenner, S.J., 2012, Multivariate statistical approach to estimate mixing proportions for unknown end members: Journal of Hydrology, v. 460-461, p. 65-76, https://doi.org/10.1016/j.jhydrol.2012.06.037.","productDescription":"12 p.","startPage":"65","endPage":"76","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":259510,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"460-461","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60bce4b0c8380cd7164e","contributors":{"authors":[{"text":"Valder, Joshua F. 0000-0003-3733-8868 jvalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-8868","contributorId":1431,"corporation":false,"usgs":true,"family":"Valder","given":"Joshua F.","email":"jvalder@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":466340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":466339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Arden D.","contributorId":14680,"corporation":false,"usgs":true,"family":"Davis","given":"Arden","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":466342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenner, Scott J.","contributorId":6472,"corporation":false,"usgs":true,"family":"Kenner","given":"Scott","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":466341,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039482,"text":"sim3220 - 2012 - Flood-inundation maps for Sweetwater Creek from above the confluence of Powder Springs Creek to the Interstate 20 bridge, Cobb and Douglas Counties, Georgia","interactions":[],"lastModifiedDate":"2017-01-31T08:37:59","indexId":"sim3220","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3220","title":"Flood-inundation maps for Sweetwater Creek from above the confluence of Powder Springs Creek to the Interstate 20 bridge, Cobb and Douglas Counties, Georgia","docAbstract":"Digital flood-inundation maps for a 10.5-mile reach of Sweetwater Creek, from about 1,800 feet above the confluence of Powder Springs Creek to about 160 feet below the Interstate 20 bridge, were developed by the U.S. Geological Survey (USGS) in cooperation with Cobb County, Georgia. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Sweetwater Creek near Austell, Georgia (02337000). Current stage at this USGS streamgage may be obtained at http://waterdata.usgs.gov/ and can be used in conjunction with these maps to estimate near real-time areas of inundation. The National Weather Service (NWS) is incorporating results from this study into the Advanced Hydrologic Prediction Service (AHPS) flood-warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that commonly are collocated at USGS streamgages. The forecasted peak-stage information for the USGS streamgage at Sweetwater Creek near Austell (02337000), which is available through the AHPS Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers Hydrologic Engineering Centers River Analysis System (HEC&ndash;RAS) software for Sweetwater Creek and was used to compute flood profiles for a 10.5-mile reach of the creek. The model was calibrated using the most current stage-discharge relations at the Sweetwater Creek near Austell streamgage (02337000), as well as high-water marks collected during annual peak-flow events in 1982 and 2009. The hydraulic model was then used to determine 21 water-surface profiles for flood stages at the Sweetwater Creek streamgage at 1-foot intervals referenced to the streamgage datum and ranging from just above bankfull stage (12.0 feet) to approximately 1.2 feet above the highest recorded water level at the streamgage (32.0 feet). The simulated water-surface profiles were then combined with a geographic information system digital elevation model&mdash;derived from contour data (8-foot horizontal resolution), in Cobb County, and USGS National Elevation Dataset (31-foot horizontal resolution), in Douglas County&mdash;to delineate the area flooded for each 1-foot increment of stream stage. The availability of these maps, when combined with real-time information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provides emergency management personnel and residents with critical information during flood-response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3220","collaboration":"Prepared in cooperation with Cobb County, Georgia","usgsCitation":"Musser, J.W., 2012, Flood-inundation maps for Sweetwater Creek from above the confluence of Powder Springs Creek to the Interstate 20 bridge, Cobb and Douglas Counties, Georgia: U.S. Geological Survey Scientific Investigations Map 3220, v, 10 p.; maps (col.); PDF and JPG Downloads of Sheets 1-21: 27 x 36 inches; Downloads Directory, https://doi.org/10.3133/sim3220.","productDescription":"v, 10 p.; maps (col.); PDF and JPG Downloads of Sheets 1-21: 27 x 36 inches; Downloads Directory","startPage":"i","endPage":"10","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":259473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3220.jpg"},{"id":259462,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3220/","linkFileType":{"id":5,"text":"html"}},{"id":259463,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3220/pdf/sim3220.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Georgia","county":"Cobb County, Douglas County","city":"Austell","otherGeospatial":"Sweetwater 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,{"id":70039473,"text":"ofr20121065 - 2012 - A multiple-point geostatistical method for characterizing uncertainty of subsurface alluvial units and its effects on flow and transport","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ofr20121065","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","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":"2012-1065","title":"A multiple-point geostatistical method for characterizing uncertainty of subsurface alluvial units and its effects on flow and transport","docAbstract":"This report provides a proof-of-concept to demonstrate the potential application of multiple-point geostatistics for characterizing geologic heterogeneity and its effect on flow and transport simulation. The study presented in this report is the result of collaboration between the U.S. Geological Survey (USGS) and Stanford University. This collaboration focused on improving the characterization of alluvial deposits by incorporating prior knowledge of geologic structure and estimating the uncertainty of the modeled geologic units. In this study, geologic heterogeneity of alluvial units is characterized as a set of stochastic realizations, and uncertainty is indicated by variability in the results of flow and transport simulations for this set of realizations. This approach is tested on a hypothetical geologic scenario developed using data from the alluvial deposits in Yucca Flat, Nevada. Yucca Flat was chosen as a data source for this test case because it includes both complex geologic and hydrologic characteristics and also contains a substantial amount of both surface and subsurface geologic data. Multiple-point geostatistics is used to model geologic heterogeneity in the subsurface. A three-dimensional (3D) model of spatial variability is developed by integrating alluvial units mapped at the surface with vertical drill-hole data. The SNESIM (Single Normal Equation Simulation) algorithm is used to represent geologic heterogeneity stochastically by generating 20 realizations, each of which represents an equally probable geologic scenario. A 3D numerical model is used to simulate groundwater flow and contaminant transport for each realization, producing a distribution of flow and transport responses to the geologic heterogeneity. From this distribution of flow and transport responses, the frequency of exceeding a given contaminant concentration threshold can be used as an indicator of uncertainty about the location of the contaminant plume boundary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121065","collaboration":"Prepared in cooperation with the U.S. Department of Energy Office of Environmental Management, National Nuclear Security Administration, Nevada Site Office, under Interagency Agreement Department of Energy Agreement DOE DE-AI52-07NA28100","usgsCitation":"Cronkite-Ratcliff, C., Phelps, G.A., and Boucher, A., 2012, A multiple-point geostatistical method for characterizing uncertainty of subsurface alluvial units and its effects on flow and transport: U.S. Geological Survey Open-File Report 2012-1065, iii, 24 p.; col. ill.; maps (col.), https://doi.org/10.3133/ofr20121065.","productDescription":"iii, 24 p.; col. ill.; maps (col.)","startPage":"i","endPage":"24","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":259472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1065.gif"},{"id":259458,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1065/of2012-1065.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259457,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1065/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e48fe4b0c8380cd46711","contributors":{"authors":[{"text":"Cronkite-Ratcliff, C.","contributorId":87408,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"C.","affiliations":[],"preferred":false,"id":466315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":466314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boucher, A.","contributorId":107974,"corporation":false,"usgs":true,"family":"Boucher","given":"A.","email":"","affiliations":[],"preferred":false,"id":466316,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039477,"text":"ofr20121004 - 2012 - Sea-floor geology in central Rhode Island Sound south of Sakonnet Point, Rhode Island","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ofr20121004","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","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":"2012-1004","title":"Sea-floor geology in central Rhode Island Sound south of Sakonnet Point, Rhode Island","docAbstract":"The U.S. Geological Survey (USGS) and the National Oceanic and Atmospheric Administration (NOAA) are working together to study the sea floor along the northeastern coast of the United States. NOAA collected multibeam-echosounder data during hydrographic survey H11995 in a 63-square-kilometer area in central Rhode Island Sound, south of Sakonnet Point, Rhode Island. The USGS collected sediment samples, bottom video, and still photographs from 27 stations in this study area to verify an interpretation of the bathymetric data. Collected data are used to map areas of scour depressions and erosional outliers, megaripples, boulders, and relatively undisturbed modern marine sediments. In general, much of the eastern part of the study area, a submerged segment of the Harbor Hill-Roanoke Point-Charlestown-Buzzards Bay moraine, is bouldery. Bottom photography shows boulders are generally encrusted with hydrozoans, algae, and anemone. Scour depressions, presumably formed by long-period storm waves, and erosional outliers of Holocene sediments dominate the western part of the study area and several large areas in the east. The scour depressions tend to have coarser grained sediment than intervening erosional outliers. The coarseness likely creates turbulence in the water over these areas, which prevents fine-grained sediment deposition. Several small areas of megaripples are visible in the bathymetry data in the west. Other sandy areas are typically rippled, with burrows, worm tubes, and starfish present.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121004","usgsCitation":"McMullen, K., Poppe, L., Ackerman, S., Worley, C., Nadeau, M., and Van Hoy, M.V., 2012, Sea-floor geology in central Rhode Island Sound south of Sakonnet Point, Rhode Island: U.S. Geological Survey Open-File Report 2012-1004, HTML Document, https://doi.org/10.3133/ofr20121004.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259471,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1004.png"},{"id":259459,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1004/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Rhode Island","otherGeospatial":"Rhode Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-71.26580619466932, 41.297435949285784], [-71.19556111567424, 41.31782968189743], [-71.11867998082937, 41.335957444218685], [-71.11867998082937, 41.332558488783526], [-71.12709644190716, 41.31572556662802], [-71.12062224107808, 41.31410701642072], [-71.09553471286557, 41.29792151434809], [-71.24152794156043, 41.25389694871062], [-71.26580619466932, 41.297435949285784]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-71.26580619466932, 41.25389694871062, -71.09553471286557, 41.335957444218685], \"type\": \"Feature\", \"id\": \"3091970\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8808e4b08c986b31679d","contributors":{"authors":[{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":466322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":466324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, S.D.","contributorId":88843,"corporation":false,"usgs":true,"family":"Ackerman","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":466325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Worley, C.R.","contributorId":43479,"corporation":false,"usgs":true,"family":"Worley","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":466320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nadeau, M.A.","contributorId":47901,"corporation":false,"usgs":true,"family":"Nadeau","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":466321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Hoy, M. V.","contributorId":69406,"corporation":false,"usgs":true,"family":"Van Hoy","given":"M.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":466323,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039463,"text":"ofr20121161 - 2012 - Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2012-08-09T01:02:14","indexId":"ofr20121161","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","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":"2012-1161","title":"Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California","docAbstract":"Models of the depth to the base of Last Glacial Maximum and sediment thickness over the base of Last Glacial Maximum for the eastern Santa Barbara Channel are a key part of the maps of shallow subsurface geology and structure for offshore Refugio to Hueneme Canyon, California, in the California State Waters Map Series. A satisfactory interpolation of the two datasets that accounted for regional geologic structure was developed using geographic information systems modeling and graphics software tools. Regional sediment volumes were determined from the model. Source data files suitable for geographic information systems mapping applications are provided.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121161","usgsCitation":"Wong, F.L., Phillips, E., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, v, 16 p.; col. ill.; maps col.; GIS Data, https://doi.org/10.3133/ofr20121161.","productDescription":"v, 16 p.; col. ill.; maps col.; GIS Data","startPage":"i","endPage":"16","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259488,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1161.gif"},{"id":259476,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1161/","linkFileType":{"id":5,"text":"html"}},{"id":259477,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1161/of2012-1161.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.206232,34.027787 ], [ -120.206232,34.492447 ], [ -119.123028,34.492447 ], [ -119.123028,34.027787 ], [ -120.206232,34.027787 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c12e4b0c8380cd6f9eb","contributors":{"authors":[{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Eleyne L.","contributorId":104289,"corporation":false,"usgs":true,"family":"Phillips","given":"Eleyne L.","affiliations":[],"preferred":false,"id":466294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":466292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039462,"text":"ofr20121091 - 2012 - Global prediction of continuous hydrocarbon accumulations in self-sourced reservoirs","interactions":[],"lastModifiedDate":"2012-08-08T01:02:14","indexId":"ofr20121091","displayToPublicDate":"2012-08-07T00:00:00","publicationYear":"2012","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":"2012-1091","title":"Global prediction of continuous hydrocarbon accumulations in self-sourced reservoirs","docAbstract":"This report was first presented as an abstract in poster format at the American Association of Petroleum Geologists (AAPG) 2012 Annual Convention and Exhibition, April 22-25, Long Beach, Calif., as Search and Discovery Article no. 90142. Shale resource plays occur in predictable tectonic settings within similar orders of magnitude of eustatic events. A conceptual model for predicting the presence of resource-quality shales is essential for evaluating components of continuous petroleum systems. Basin geometry often distinguishes self-sourced resource plays from conventional plays. Intracratonic or intrashelf foreland basins at active margins are the predominant depositional settings among those explored for the development of self-sourced continuous accumulations, whereas source rocks associated with conventional accumulations typically were deposited in rifted passive margin settings (or other cratonic environments). Generally, the former are associated with the assembly of supercontinents, and the latter often resulted during or subsequent to the breakup of landmasses. Spreading rates, climate, and eustasy are influenced by these global tectonic events, such that deposition of self-sourced reservoirs occurred during periods characterized by rapid plate reconfiguration, predominantly greenhouse climate conditions, and in areas adjacent to extensive carbonate sedimentation. Combined tectonic histories, eustatic curves, and paleogeographic reconstructions may be useful in global predictions of organic-rich shale accumulations suitable for continuous resource development. Accumulation of marine organic material is attributed to upwellings that enhance productivity and oxygen-minimum bottom waters that prevent destruction of organic matter. The accumulation of potential self-sourced resources can be attributed to slow sedimentation rates in rapidly subsiding (incipient, flexural) foreland basins, while flooding of adjacent carbonate platforms and other cratonic highs occurred. In contrast, deposition of this resource type on rifted passive margins was likely the result of reactivation of long-lived cratonic features or salt tectonic regimes that created semi-confined basins. Commonly, loading by thick sections of clastic material, following thermal relaxation after plate collision or rift phases, advances kerogen maturation. With few exceptions, North American self-sourced reservoirs appear to be associated with calcitic seas and predominantly greenhouse or transitional (\"warm\" to \"cool\") global climatic conditions. Significant changes to the global carbon budget may also be a contributing factor in the stratigraphic distribution of continuous resource plays, requiring additional evaluation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121091","usgsCitation":"Eoff, J.D., 2012, Global prediction of continuous hydrocarbon accumulations in self-sourced reservoirs: U.S. Geological Survey Open-File Report 2012-1091, 4 Sheets: 61 x 37 inches; maps (col.), https://doi.org/10.3133/ofr20121091.","productDescription":"4 Sheets: 61 x 37 inches; maps (col.)","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259466,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1091.png"},{"id":259454,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1091/","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Earth","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a295ae4b0c8380cd5a8b3","contributors":{"authors":[{"text":"Eoff, Jennifer D. jeoff@usgs.gov","contributorId":3418,"corporation":false,"usgs":true,"family":"Eoff","given":"Jennifer","email":"jeoff@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":466290,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70133843,"text":"70133843 - 2012 - Regression modeling of particle size distributions in urban stormwater: Advancements through improved sample collection methods","interactions":[],"lastModifiedDate":"2021-02-04T18:42:02.643375","indexId":"70133843","displayToPublicDate":"2012-08-03T12:41:39","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2255,"text":"Journal of Environmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Regression modeling of particle size distributions in urban stormwater: Advancements through improved sample collection methods","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>A new sample collection system was developed to improve the representation of sediment entrained in urban storm water by integrating water quality samples from the entire water column. The depth-integrated sampler arm (DISA) was able to mitigate sediment stratification bias in storm water, thereby improving the characterization of suspended-sediment concentration and particle size distribution at three independent study locations. Use of the DISA decreased variability, which improved statistical regression to predict particle size distribution using surrogate environmental parameters, such as precipitation depth and intensity. The performance of this statistical modeling technique was compared to results using traditional fixed-point sampling methods and was found to perform better. When environmental parameters can be used to predict particle size distributions, environmental managers have more options when characterizing concentrations, loads, and particle size distributions in urban runoff.</p></div>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)EE.1943-7870.0000612","usgsCitation":"Selbig, W.R., and Fienen, M., 2012, Regression modeling of particle size distributions in urban stormwater: Advancements through improved sample collection methods: Journal of Environmental Engineering, v. 138, no. 12, p. 1186-1193, https://doi.org/10.1061/(ASCE)EE.1943-7870.0000612.","productDescription":"8 p.","startPage":"1186","endPage":"1193","ipdsId":"IP-027539","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":383023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Madison","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.63470458984375,\n              42.96044267380142\n            ],\n            [\n              -89.20623779296875,\n              42.96044267380142\n            ],\n            [\n              -89.20623779296875,\n              43.18114705939968\n            ],\n            [\n              -89.63470458984375,\n              43.18114705939968\n            ],\n            [\n              -89.63470458984375,\n              42.96044267380142\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"138","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546dbf2be4b0fc7976bf1e5e","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525480,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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