{"pageNumber":"584","pageRowStart":"14575","pageSize":"25","recordCount":46700,"records":[{"id":70044989,"text":"fs20133006 - 2013 - Gallium--A smart metal","interactions":[],"lastModifiedDate":"2023-08-17T19:10:41.695642","indexId":"fs20133006","displayToPublicDate":"2013-03-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3006","title":"Gallium--A smart metal","docAbstract":"Gallium is a soft, silvery metallic element with an atomic number of 31 and the chemical symbol Ga. The French chemist Paul-Emile Lecoq de Boisbaudran discovered gallium in sphalerite (a zinc-sulfide mineral) in 1875 using spectroscopy. He named the element \"gallia\" after his native land of France (formerly Gaul; in Latin, Gallia). The existence of gallium had been predicted in 1871 by Dmitri Mendeleev, the Russian chemist who published the first periodic table of the elements. Mendeleev noted a gap in his table and named the missing element \"eka-aluminum\" because he determined that its location was one place away from aluminum in the table. Mendeleev thought that the missing element (gallium) would be very much like aluminum in its chemical properties, and he was right. Solid gallium has a low melting temperature (~29 degrees Celsius, or °C) and an unusually high boiling point (~2,204 °C). Because of these properties, the earliest uses of gallium were in high-temperature thermometers and in designing metal alloys that melt easily. The development of a gallium-based direct band-gap semiconductor in the 1960s led to what is now one of the most well-known applications for gallium-based products--the manufacture of smartphones and data-centric networks.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133006","usgsCitation":"Foley, N., and Jaskula, B.W., 2013, Gallium--A smart metal: U.S. Geological Survey Fact Sheet 2013-3006, 2 p., https://doi.org/10.3133/fs20133006.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":270103,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3006/"},{"id":270104,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3006/pdf/fs2013-3006.pdf"},{"id":270105,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133006.gif"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152b561e4b01197b08e9be1","contributors":{"authors":[{"text":"Foley, Nora","contributorId":9342,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","affiliations":[],"preferred":false,"id":476571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaskula, Brian W. bjaskula@usgs.gov","contributorId":1935,"corporation":false,"usgs":true,"family":"Jaskula","given":"Brian","email":"bjaskula@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":476570,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045004,"text":"ofr20131040 - 2013 - Preliminary assessment of bioengineered fringing shoreline reefs in Grand Isle and Breton Sound, Louisiana","interactions":[],"lastModifiedDate":"2013-03-26T13:56:33","indexId":"ofr20131040","displayToPublicDate":"2013-03-26T00:00:00","publicationYear":"2013","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":"2013-1040","title":"Preliminary assessment of bioengineered fringing shoreline reefs in Grand Isle and Breton Sound, Louisiana","docAbstract":"Restoration of three-dimensional shell habitats in coastal Louisiana presents a valuable and potentially self-sustaining approach to providing shoreline protection and critical nekton habitat and may contribute to water quality maintenance. The use of what has been called “living shorelines” is particularly promising because in addition to the hypothesized shoreline protection services, it is predicted that, if built and located in viable sites, these living shorelines may ultimately contribute to water quality maintenance through filtration of bivalves and may enhance nekton habitat. This approach, however, has not been tested extensively in different shallow water estuarine settings; understanding under what conditions a living shoreline must have to support a sustainable oyster population, and where these reefs may provide valuable shoreline protection, is key to ensuring that this approach provides an effective tool for coastal restoration. This project gathered preliminary data on the sustainability and shoreline stabilization of three large bioengineered fringing reefs located in Grand Isle, Lake Eloi, and Lake Fortuna, Louisiana. We collected preconstruction and postconstruction physiochemical and biological data by using a before-after-control-impact approach to evaluate the effectiveness of these living shoreline structures on reducing marsh erosion, enabling reef sustainability, and providing other ecosystem benefits. Although this project was originally designed to compare reef performance and impacts across three different locations over 2 years, delays in construction because of the Deepwater Horizon oil spill resulted in reefs being built from 12 to 18 months later than anticipated. As a result, monitoring postconstruction was severely limited. One reef, Grand Isle, was completed in March 2011 and monitored up to 18 months postcreation, whereas Lake Eloi and Lake Fortuna reefs were not completed until January 2012, and only 8 months of postconstruction data are available. Data for the latter two sites thus reflect only the 2012 spring/summer seasons, which were further impacted by a direct hit by Hurricane Isaac in August 2012, which resulted in shoreward movement of approximately 14 percent of the bioengineered structures at Lake Fortuna. Given the shortened monitoring timeframe and significant differences in construction schedules, we were not able to provide a full postconstruction assessment of the sites or a full comparison of site success based on local site characteristics. Because many of the impacts that were identified for monitoring reflect long-term processes, results and data presented should be interpreted cautiously. Sustainable oyster reefs require recruitment, growth, and survival at a rate that keeps pace with mortality and shell disarticulation. Although one site failed to recruit (establishment plus survival > 50 millimeters [mm]) over two spawning seasons, two sites only had 6 months postconstruction data available for assessment. Although there are good data on the requirements for oyster growth, there is limited explicit information on the site-specific water quality, hydrodynamic, and biological interaction effects that may determine successful reef establishment. Furthermore, interannual variability can significantly affect reef establishment, and our shortened timeframe of sampling (less than one spawning season for two of the reefs; two spawning seasons for one reef), combined with a lack of prerestoration monitoring data, limit our ability to draw any conclusions about long-term reef sustainability. Bioengineered reefs are thought to provide some benefits to shoreline stabilization through their structure by immediately attenuating wave energies and directly reducing erosion rates at shorelines sheltered by the reefs but also by increasing sediment deposition behind the reefs. Preliminary data indicate differences in reef impact by site; given the short timeframe of postconstruction data at two of the sites, and differences in reef placement between sites, however, it is difficult to draw any conclusions. Longer-term data collection and further analyses comparing reef placement; local wind, wave energy, sediment transport processes; and local bathymetry may help in parameterizing sites where fringing reefs may be most beneficial for shoreline protection. In addition to basic reef sustainability and shoreline stabilization, we measured both water quality parameters and nekton abundances around the newly created reefs and adjacent reference sites. Within the timeframe of monitoring, no effect of reefs on water quality was detected at any site. Given that water quality effects are hypothesized to result from the filtration activities of bivalves, and reefs either failed to recruit (settlement plus survival to > 50 mm) or successfully recruited but only had a couple months of growth prior to this report, it was not expected that an effect would be detectable in this timeframe. Nekton such as blue crab, gulf menhaden, and anchovies were found to be more abundant on the reefs; larger, more transient species were not found to be affected by reef presence. Future work examining smaller organisms and juveniles, including more explicit studies examining why and how these organisms preferentially use oyster reefs, would be useful in the design of other bioengineered reefs and help in understanding the role of the reefs in supporting the nekton community. It is clear from the initial work that ensuring correct site selection by better understanding what local site factors influence oyster populations is key to establishing successful living shoreline reefs. Ultimately, the success of the reefs in providing any ecosystem service relies on their ability to build a viable oyster population that is self-sustaining over the long term. As many of the ecosystem processes hypothesized to result from reefs develop over the long term (4–6 years), some level of monitoring over the next few years is highly recommended in order to accurately assess the long term viability of the reefs, their provision of ecosystem services, and to provide better guidance for future projects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131040","collaboration":"Prepared in cooperation with the Louisiana State University Agricultural Center","usgsCitation":"La Peyre, M., Schwarting, L., and Miller, S., 2013, Preliminary assessment of bioengineered fringing shoreline reefs in Grand Isle and Breton Sound, Louisiana: U.S. Geological Survey Open-File Report 2013-1040, vi, 34 p., https://doi.org/10.3133/ofr20131040.","productDescription":"vi, 34 p.","numberOfPages":"40","onlineOnly":"Y","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":270145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131040.gif"},{"id":270143,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1040/OFR13-1040.pdf"},{"id":270144,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1040/"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound;Grand Isle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.7526,28.9553 ], [ -90.7526,30.1784 ], [ -89.1431,30.1784 ], [ -89.1431,28.9553 ], [ -90.7526,28.9553 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152b563e4b01197b08e9be9","contributors":{"authors":[{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":476595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarting, Lindsay","contributorId":56125,"corporation":false,"usgs":true,"family":"Schwarting","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":476594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Shea","contributorId":103544,"corporation":false,"usgs":true,"family":"Miller","given":"Shea","email":"","affiliations":[],"preferred":false,"id":476596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045003,"text":"ofr20131053 - 2013 - Baseline data for evaluating development trajectory and provision of ecosystem services of created fringing oyster reefs in Vermilion Bay, Louisiana","interactions":[],"lastModifiedDate":"2013-03-26T13:40:29","indexId":"ofr20131053","displayToPublicDate":"2013-03-26T00:00:00","publicationYear":"2013","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":"2013-1053","title":"Baseline data for evaluating development trajectory and provision of ecosystem services of created fringing oyster reefs in Vermilion Bay, Louisiana","docAbstract":"Understanding the time frame in which ecosystem services (that is, water quality maintenance, shoreline protection, habitat provision) are expected to be provided is important when restoration projects are being designed and implemented. Restoration of three-dimensional shell habitats in coastal Louisiana and elsewhere presents a valuable and potentially self-sustaining approach to providing shoreline protection, enhancing nekton habitat, and providing water quality maintenance. As with most restoration projects, the development of expected different ecosystem services often occurs over varying time frames, with some services provided immediately and others taking longer to develop.\n\nThis project was designed initially to compare the provision and development of ecosystem services by created fringing shoreline reefs in subtidal and intertidal environments in Vermilion Bay, Louisiana. Specifically, the goal was to test the null hypothesis that over time, the oyster recruitment and development of a sustainable oyster reef community would be similar at both intertidal and subtidal reef bases, and these sustainable reefs would in time provide similar shoreline stabilization, nekton habitat, and water quality services over similar time frames. Because the ecosystem services hypothesized to be provided by oyster reefs reflect long-term processes, fully testing the above-stated null hypothesis requires a longer-time frame than this project allowed. As such, this project was designed to provide the initial data on reef development and provision of ecosystem services, to identify services that may develop immediately, and to provide baseline data to allow for longer-term follow up studies tracking reef development over time.\n\nUnfortunately, these initially created reef bases (subtidal, intertidal) were not constructed as planned because of the Deepwater Horizon oil spill in April 2010, which resulted in reef duplicates being created 6 months apart. Further confounding the project were additional construction and restoration projects along the same shorelines which occurred between 2011 and June 2012. Because of constant activity near and around the reefs and continuing construction, development trajectories could not be compared among reef types at this time. This report presents the data collected at the sites over 3 years (2010–2012), describing only conditions and trends. In addition, these data provide an extensive and detailed dataset documenting initial conditions and initial ecosystem changes which will prove valuable in future data collection and analyses of reef development at this site.\n\nData collection characterized the local water quality conditions (salinity, temperature, total suspended sediments, dissolved oxygen, chlorophyll a), adjacent marsh vegetation, soils, and shoreline position along the project shoreline at Vermilion Bay. During the study, marsh vegetation and soil characteristics were similar across the study area and did not change over time. Shoreline movement indicated shoreline loss at all sites, which varied by reefs. Water quality conditions followed expected seasonal patterns for this region, and no significant nonseasonal changes were measured throughout the study period. Despite oyster recruitment in fall 2010 and 2011, few if any oysters survived from the 2010 year class to 2012. At the last sampling of this project, some oysters recruited in fall 2011 survived through 2012, resulting in an on-reef density of 18.3 ± 2.1 individuals per square meter (mean size: 85.6 ± 2.2 millimeters). Because project goals were to compare reef development and provision of ecosystem services over time, as well as many of the processes identified for monitoring reflect long-term processes, results and data are presented only qualitatively, and trends or observations should be interpreted cautiously at this point. Measurable system responses to reef establishment require more time than was available for this study. These data provide a valuable baseline that can be ultimately used to help inform site selections for future restoration projects as well to further investigate the development trajectories of ecosystem provision of created reefs in this region.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131053","collaboration":"Prepared in cooperation with the Louisiana State University Agricultural Center","usgsCitation":"La Peyre, M., Schwarting, L., and Miller, S., 2013, Baseline data for evaluating development trajectory and provision of ecosystem services of created fringing oyster reefs in Vermilion Bay, Louisiana: U.S. Geological Survey Open-File Report 2013-1053, vi, 43 p., https://doi.org/10.3133/ofr20131053.","productDescription":"vi, 43 p.","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"links":[{"id":270142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131053.gif"},{"id":270140,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1053/"},{"id":270141,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1053/OFR13-1053.pdf"}],"country":"United States","state":"Louisiana","otherGeospatial":"Vermilion Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.214068,29.605755 ], [ -92.214068,29.857735 ], [ -91.783144,29.857735 ], [ -91.783144,29.605755 ], [ -92.214068,29.605755 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152b552e4b01197b08e9bd9","contributors":{"authors":[{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarting, Lindsay","contributorId":56125,"corporation":false,"usgs":true,"family":"Schwarting","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":476591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Shea","contributorId":103544,"corporation":false,"usgs":true,"family":"Miller","given":"Shea","email":"","affiliations":[],"preferred":false,"id":476593,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045001,"text":"ds69F7 - 2013 - Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment--San Juan Basin Province (5022): Chapter 7 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T13:07:24","indexId":"ds69F7","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69-F-7","title":"Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment--San Juan Basin Province (5022): Chapter 7 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"This chapter describes data used in support of the process being applied by the U.S. Geological Survey (USGS) National Oil and Gas Assessment (NOGA) project. Digital tabular data used in this report and archival data that permit the user to perform further analyses are available elsewhere on this CD–ROM. Computers and software may import the data without transcription from the Portable Document Format files (.pdf files) of the text by the reader. Because of the number and variety of platforms and software available, graphical images are provided as .pdf files and tabular data are provided in a raw form as tab-delimited text files (.tab files).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F7","collaboration":"This report is Chapter 7 in Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","usgsCitation":"Klett, T., and Le, P., 2013, Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment--San Juan Basin Province (5022): Chapter 7 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-7, iii, 17 p., https://doi.org/10.3133/ds69F7.","productDescription":"iii, 17 p.","numberOfPages":"22","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f7.gif"},{"id":270129,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270130,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter7_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c3b8e4b01197b08e9d18","contributors":{"authors":[{"text":"Klett, T. R. 0000-0001-9779-1168","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":83067,"corporation":false,"usgs":true,"family":"Klett","given":"T. R.","affiliations":[],"preferred":false,"id":476589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Le, P. A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":64737,"corporation":false,"usgs":true,"family":"Le","given":"P. A.","affiliations":[],"preferred":false,"id":476588,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044992,"text":"ds69F5 - 2013 - Geology, sequence stratigraphy, and oil and gas assessment of the Lewis Shale Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T13:01:07","indexId":"ds69F5","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69-F-5","title":"Geology, sequence stratigraphy, and oil and gas assessment of the Lewis Shale Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"The Lewis Shale Total Petroleum System (TPS) in the San Juan Basin Province contains a continuous gas accumulation in three distinct stratigraphic units deposited in genetically related depositional environments: offshore-marine shales, mudstones, siltstones, and sandstones of the Lewis Shale, and marginal-marine shoreface sandstones and siltstones of both the La Ventana Tongue and the Chacra Tongue of the Cliff House Sandstone. The Lewis Shale was not a completion target in the San Juan Basin (SJB) in early drilling from about the 1950s through 1990. During that time, only 16 wells were completed in the Lewis from natural fracture systems encountered while drilling for deeper reservoir objectives. In 1991, existing wells that penetrated the Lewis Shale were re-entered by petroleum industry operators in order to fracture-stimulate the Lewis and to add Lewis gas production onto preexisting, and presumably often declining, Mesaverde Group production stratigraphically lower in the section. By 1997, approximately 101 Lewis completions had been made, both as re-entries into existing wells and as add-ons to Mesaverde production in new wells. Based on recent industry drilling and completion practices leading to successful gas production from the Lewis and because new geologic models indicate that the Lewis Shale contains both source rocks and reservoir rocks, the Lewis Shale TPS was defined and evaluated as part of this U.S. Geological Survey oil and gas assessment of the San Juan Basin. Gas in the Lewis Shale Total Petroleum System is produced from shoreface sandstones and siltstones in the La Ventana and Chacra Tongues and from distal facies of these prograding clastic units that extend into marine rocks of the Lewis Shale in the central part of the San Juan Basin. Reservoirs are in shoreface sandstone parasequences of the La Ventana and Chacra and their correlative distal parasequences in the Lewis Shale where both natural and artificially enhanced fractures produce gas. The Lewis Continuous Gas Assessment Unit (AU 50220261) is thought to be self-sourced from and self-sealed by marine shales and mudstones deposited within the Lewis Shale that enclose clastic parasequences in the La Ventana and Chacra Tongues. The gas resource is thought to be a continuous accumulation sourced from the Lewis Shale throughout the depositional basin. In the Lewis Continuous Gas Assessment Unit (AU 50220261), for continuous gas resources, there is an F95 of 8,315.22 billion cubic feet of gas (BCFG) and an F5 of 12,282.31 BCFG, with a mean value of 10,177.24 BCFG. There is an F95 of 18.08 million barrels of natural gas liquids (MMBNGL) and an F5 of 47.32 MMBNGL, with a mean of 30.53 MMBNGL.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F5","collaboration":"This report is Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","usgsCitation":"Dubiel, R.F., 2013, Geology, sequence stratigraphy, and oil and gas assessment of the Lewis Shale Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-5, iii, 45 p., https://doi.org/10.3133/ds69F5.","productDescription":"iii, 45 p.","numberOfPages":"49","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f5.gif"},{"id":270122,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270123,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter5_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c391e4b01197b08e9ca4","contributors":{"authors":[{"text":"Dubiel, R. F. 0000-0002-1280-0350","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":41820,"corporation":false,"usgs":true,"family":"Dubiel","given":"R.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":476580,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045000,"text":"ds69F6 - 2013 - Geology and oil and gas assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 6 in <i>Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T13:00:17","indexId":"ds69F6","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69-F-6","title":"Geology and oil and gas assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 6 in <i>Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado</i>","docAbstract":"The Fruitland Total Petroleum System (TPS) of the San Juan Basin Province includes all genetically related hydrocarbons generated from coal beds and organic-rich shales in the Cretaceous Fruitland Formation. Coal beds are considered to be the primary source of the hydrocarbons. Potential reservoir rocks in the Fruitland TPS consist of the Upper Cretaceous Pictured Cliffs Sandstone, Fruitland Formation (both sandstone and coal beds), and the Farmington Sandstone Member of the Kirtland Formation, and the Tertiary Ojo Alamo Sandstone, and Animas, Nacimiento, and San Jose Formations.\nAnalysis of the geochemistry of Fruitland coal-bed gas and co-produced water suggests that hydrocarbons in Fruitland coal beds began to form early in the depositional history of the Fruitland Formation with the generation of early microbial gas. Source rocks in the Fruitland entered the oil generation zone in the late Eocene and continued to generate minor oil and large quantities of thermogenic gas into middle Miocene time. Near the end of the Miocene, thermogenic hydrocarbon generation and subsidence in the San Juan Basin ceased, and the basin was uplifted and differentially eroded. Late-stage (secondary) microbial gas has been documented in Fruitland coal-bed reservoirs and was formed by microbial reduction of carbon dioxide during introduction of groundwater in the late Pliocene and Pleistocene. Most of this late-stage microbial gas is found just downdip from the northern, western, and southern Fruitland outcrops. The northern part of the Fruitland Formation is overpressured as a result of artesian conditions established in the Pliocene or Pleistocene. South and east of the overpressured area, the Fruitland is either normally pressured or underpressured.\nFour assessment units (AU) were defined in the Fruitland TPS. Of the four AUs, one consists of conventional gas accumulations and the other three are continuous-type gas accumulations: Tertiary Conventional Gas AU, Pictured Cliffs Continuous Gas AU, Basin Fruitland Coalbed Gas (CBG) AU, and Fruitland Fairway CBG AU. No oil resources that have the potential for additions to reserves in the next 30 years were estimated for this TPS. Gas resources that have the potential for additions to reserves in the next 30 years are estimated at a mean of 29.3 trillion cubic feet of gas (TCFG). Of this amount, 23.58 TCFG will come from coal-bed gas accumulations and 83.1 percent of this total is estimated to come from the Basin Fruitland CBG AU. The remaining 5.72 TCFG is allocated to continuous-type gas accumulations (5.64 TCFG) and conventional gas accumulations (0.08 TCFG). Although the Fruitland Fairway CBG AU has produced the most significant amount of coal-bed gas to date, the area of the AU is limited. New potentially productive wells will come from infill drilling, and the number of these wells will be limited by effective drainage area. Total natural gas liquids (NGL) that have the potential for additions to reserves in the next 30 years are estimated at a mean of 17.76 million barrels. Of this amount, 16.92 million barrels will come from the Pictured Cliffs Continuous Gas AU and the remainder from the Tertiary Conventional Gas AU.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F6","collaboration":"This report is Chapter 6 in Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","usgsCitation":"Ridgley, J., Condon, S.M., and Hatch, J.R., 2013, Geology and oil and gas assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 6 in <i>Geology and Oil and Gas Assessment of the Fruitland Total Petroleum System, San Juan Basin, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-6, vii, 100 p., https://doi.org/10.3133/ds69F6.","productDescription":"vii, 100 p.","numberOfPages":"108","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f6.gif"},{"id":270125,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270126,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter6_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c38ce4b01197b08e9c98","contributors":{"authors":[{"text":"Ridgley, J.L.","contributorId":17307,"corporation":false,"usgs":true,"family":"Ridgley","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":476586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Condon, S. M.","contributorId":107688,"corporation":false,"usgs":true,"family":"Condon","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatch, J. R.","contributorId":14775,"corporation":false,"usgs":true,"family":"Hatch","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476585,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044985,"text":"ds69F2 - 2013 - Introduction to the 2002 geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks: Chapter 2 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T13:01:27","indexId":"ds69F2","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69-F-2","title":"Introduction to the 2002 geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks: Chapter 2 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"The U.S Geological Survey (USGS) periodically conducts assessments of undiscovered oil and gas resources in the United States. The purpose of the U.S. Geological Survey National Oil and Gas Assessment is to develop geologically based hypotheses regarding the potential for additions to oil and gas reserves in priority areas of the United States. The last major USGS assessment of oil and gas of the most important oil and gas provinces in the United States was in 1995 (Gautier and others, 1996). Since then a number of individual assessment provinces have been reappraised using new methodology. This was done particularly for those provinces where new information has become available, where new methodology was expected to reveal more insight to provide a better estimate, where additional geologic investigation was needed, or where continuous accumulations were deemed important. The San Juan Basin was reevaluated because of industry exploitation of new hydrocarbon accumulations that were not previously assessed and because of a change in application of assessment methodology to potential undiscovered hydrocarbon accumulations. Several changes have been made in this study. The methodology is different from that used in 1995 (Schmoker, 2003; Schmoker and Klett, 2003). In this study the total petroleum system (TPS) approach (Magoon and Dow, 1994) is used rather than the play approach. The Chama Basin is not included. The team of scientists studying the basin is different. The 1995 study focused on conventional accumulations, whereas in this 2002 assessment, it was a priority to assess continuous-type accumulations, including coal-bed gas. Consequently we are presenting here an entirely new study and results for the San Juan Basin Province. The results of this 2002 assessment of undiscovered oil and gas resources in the San Juan Basin Province (5022) are presented in this report within the geologic context of individual TPSs and their assessment units (AU) (table 1). Results are reported as the estimated mean of potential additions to reserves as well as for the 95, 50, and 5 percent fractiles.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F2","collaboration":"This report is Chapter 2 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i> (DS 69-F)","usgsCitation":"U.S. Geological Survey San Juan Basin Assessment Team, 2013, Introduction to the 2002 geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks: Chapter 2 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-2, iii, 8 p., https://doi.org/10.3133/ds69F2.","productDescription":"iii, 8 p.","numberOfPages":"12","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f2.gif"},{"id":270097,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270098,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter2_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e5e4b087909f0bbe4b","contributors":{"authors":[{"text":"U.S. Geological Survey San Juan Basin Assessment Team","contributorId":128072,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey San Juan Basin Assessment Team","id":535459,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044990,"text":"ds69F4 - 2013 - Geology and oil and gas assessment of the Mancos-Menefee Composite Total Petroleum System: Chapter 4 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2021-01-04T13:40:25.493211","indexId":"ds69F4","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69-F-4","title":"Geology and oil and gas assessment of the Mancos-Menefee Composite Total Petroleum System: Chapter 4 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"The Mancos-Menefee Composite Total Petroleum System (TPS) includes all genetically related hydrocarbons generated from organic-rich shales in the Cretaceous Mancos Shale and from carbonaceous shale, coal beds, and humate in the Cretaceous Menefee Formation of the Mesaverde Group. The system is called a composite total petroleum system because the exact source of the hydrocarbons in some of the reservoirs is not known. Reservoir rocks that contain hydrocarbons generated in Mancos and Menefee source beds are found in the Cretaceous Dakota Sandstone, at the base of the composite TPS, through the lower part of the Cliff House Sandstone of the Mesaverde Group, at the top. Source rocks in both the Mancos Shale and Menefee Formation entered the oil generation window in the late Eocene and continued to generate oil or gas into the late Miocene. Near the end of the Miocene in the San Juan Basin, subsidence ceased, hydrocarbon generation ceased, and the basin was uplifted and differentially eroded. Reservoirs are now underpressured.\nEight assessment units were defined in the Mancos-Menefee Composite TPS. Of the eight assessment units, four were assessed as conventional oil or gas accumulations and four as continuous-type accumulations. The conventional assessment units are Dakota-Greenhorn Conventional Oil and Gas Assessment Unit (AU), Gallup Sandstone Conventional Oil and Gas AU, Mancos Sandstones Conventional Oil AU, and the Mesaverde Updip Conventional Oil AU. Continuous-type assessments are Dakota-Greenhorn Continuous Gas AU, Mancos Sandstones Continuous Gas AU, Mesaverde Central-Basin Continuous Gas AU, and Menefee Coalbed Gas AU. The Mesaverde Updip Conventional AU was not quantitatively assessed for undiscovered oil and gas resources, because the producing oil fields were smaller than the 0.5 million barrel cutoff, and the potential of finding fields above this cutoff was considered to be low. Total oil resources that have the potential for additions to reserves in the next 30 years are estimated at a mean of 16.78 million barrels. Most of this resource will come from reservoirs in the Mancos Sandstones Oil AU. Gas resources that have the potential for additions to reserves in the next 30 years are estimated at a mean of 11.11 trillion cubic feet of gas (TCFG). Of this amount, 11.03 TCFG will come from continuous gas accumulations; the remainder will be gas associated with oil in conventional accumulations.Total natural gas liquids (NGL) that have the potential for additions to reserves in the next 30 years are estimated at a mean of 99.86 million barrels. Of this amount, 96.95 million barrels will come from the continuous gas assessment units, and 78.3 percent of this potential resource will come from the Mancos Sandstones Continuous Gas AU.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F4","collaboration":"This report is Chapter 4 in Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","usgsCitation":"Ridgley, J., Condon, S.M., and Hatch, J.R., 2013, Geology and oil and gas assessment of the Mancos-Menefee Composite Total Petroleum System: Chapter 4 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-4, ix, 97 p., https://doi.org/10.3133/ds69F4.","productDescription":"ix, 97 p.","numberOfPages":"107","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f4.gif"},{"id":381842,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/MAP.pdf","text":"Plate 3","linkFileType":{"id":1,"text":"pdf"}},{"id":381841,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/PLATE2.pdf","text":"Plate 2","linkFileType":{"id":1,"text":"pdf"}},{"id":381840,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/PLATE1.pdf","text":"Plate 1","linkFileType":{"id":1,"text":"pdf"}},{"id":270112,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/","linkFileType":{"id":5,"text":"html"}},{"id":270113,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter4_508.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c38de4b01197b08e9c9c","contributors":{"authors":[{"text":"Ridgley, J.L.","contributorId":17307,"corporation":false,"usgs":true,"family":"Ridgley","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":476573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Condon, S. M.","contributorId":107688,"corporation":false,"usgs":true,"family":"Condon","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatch, J. R.","contributorId":14775,"corporation":false,"usgs":true,"family":"Hatch","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476572,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044971,"text":"fs20133009 - 2013 - Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time","interactions":[],"lastModifiedDate":"2016-07-14T13:56:17","indexId":"fs20133009","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3009","title":"Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time","docAbstract":"<p>The Ecosystem Dynamics Branch of the Fort Collins Science Center offers an interdisciplinary team of talented and creative scientists with expertise in biology, botany, ecology, geology, biogeochemistry, physical sciences, geographic information systems, and remote-sensing, for tackling complex questions about natural resources. As demand for natural resources increases, the issues facing natural resource managers, planners, policy makers, industry, and private landowners are increasing in spatial and temporal scope, often involving entire regions, multiple jurisdictions, and long timeframes. Needs for addressing these issues include (1) a better understanding of biotic and abiotic ecosystem components and their complex interactions; (2) the ability to easily monitor, assess, and visualize the spatially complex movements of animals, plants, water, and elements across highly variable landscapes; and (3) the techniques for accurately predicting both immediate and long-term responses of system components to natural and human-caused change. The overall objectives of our research are to provide the knowledge, tools, and techniques needed by the U.S. Department of the Interior, state agencies, and other stakeholders in their endeavors to meet the demand for natural resources while conserving biodiversity and ecosystem services. Ecosystem Dynamics scientists use field and laboratory research, data assimilation, and ecological modeling to understand ecosystem patterns, trends, and mechanistic processes. This information is used to predict the outcomes of changes imposed on species, habitats, landscapes, and climate across spatiotemporal scales. The products we develop include conceptual models to illustrate system structure and processes; regional baseline and integrated assessments; predictive spatial and mathematical models; literature syntheses; and frameworks or protocols for improved ecosystem monitoring, adaptive management, and program evaluation. The descriptions in this fact sheet provide snapshots of our three research emphases, followed by descriptions of select current projects.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133009","usgsCitation":"Bowen, Z.H., Melcher, C.P., and Wilson, J.T., 2013, Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time: U.S. Geological Survey Fact Sheet 2013-3009, 4 p., https://doi.org/10.3133/fs20133009.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":270011,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3009/FS13-3009.pdf"},{"id":270012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133009.gif"},{"id":270010,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3009/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e2e4b087909f0bbe3f","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Juliette T.","contributorId":86439,"corporation":false,"usgs":true,"family":"Wilson","given":"Juliette","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":476537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044975,"text":"tm6D2 - 2013 - CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models","interactions":[],"lastModifiedDate":"2013-03-25T16:12:26","indexId":"tm6D2","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-D2","title":"CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models","docAbstract":"The U.S. Geological Survey Cascade Routing Tool (CRT) is a computer application for watershed models that include the coupled Groundwater and Surface-water FLOW model, GSFLOW, and the Precipitation-Runoff Modeling System (PRMS). CRT generates output to define cascading surface and shallow subsurface flow paths for grid-based model domains. CRT requires a land-surface elevation for each hydrologic response unit (HRU) of the model grid; these elevations can be derived from a Digital Elevation Model raster data set of the area containing the model domain. Additionally, a list is required of the HRUs containing streams, swales, lakes, and other cascade termination features along with indices that uniquely define these features. Cascade flow paths are determined from the altitudes of each HRU. Cascade paths can cross any of the four faces of an HRU to a stream or to a lake within or adjacent to an HRU. Cascades can terminate at a stream, lake, or HRU that has been designated as a watershed outflow location.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Ground-Water/Surface-Water in Book 6: <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6D2","collaboration":"Groundwater Resources Program; This report is Chapter 2 of Section D: Ground-Water/Surface-Water in Book 6: <i>Modeling Techniques</i>","usgsCitation":"Henson, W., Medina, R.L., Mayers, C.J., Niswonger, R., and Regan, R., 2013, CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models: U.S. Geological Survey Techniques and Methods 6-D2, Pamphlet: vii, 28 p.; Software, https://doi.org/10.3133/tm6D2.","productDescription":"Pamphlet: vii, 28 p.; Software","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":270035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6D2.jpg"},{"id":270034,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://water.usgs.gov/ogw/CRT/"},{"id":270032,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6d2/"},{"id":270033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm6d2/pdf/tm6-D2.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163d2e4b087909f0bbe2b","contributors":{"authors":[{"text":"Henson, Wesley R. 0000-0003-4962-5565","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":96561,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley R.","affiliations":[],"preferred":false,"id":476548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medina, Rose L. 0000-0002-3463-7224 rlmedina@usgs.gov","orcid":"https://orcid.org/0000-0002-3463-7224","contributorId":4378,"corporation":false,"usgs":true,"family":"Medina","given":"Rose","email":"rlmedina@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":94745,"corporation":false,"usgs":true,"family":"Mayers","given":"C.","email":"cjmayers@usgs.gov","middleInitial":"Justin","affiliations":[],"preferred":false,"id":476547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":476545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R.S.","contributorId":51794,"corporation":false,"usgs":true,"family":"Regan","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":476546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044931,"text":"ofr20131025 - 2013 - Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010","interactions":[],"lastModifiedDate":"2013-03-25T09:27:57","indexId":"ofr20131025","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"2013-1025","title":"Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010","docAbstract":"Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Coalbed methane, which is sometimes extracted using the same technique, is commonly located in the same general area as the Marcellus Shale and is frequently developed in clusters of wells across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Allegheny County and Susquehanna County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131025","usgsCitation":"Slonecker, E., Milheim, L., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Allegheny and Susquehanna Counties, Pennsylvania, 2004--2010: U.S. Geological Survey Open-File Report 2013-1025, v, 33 p., https://doi.org/10.3133/ofr20131025.","productDescription":"v, 33 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131025.gif"},{"id":269978,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1025/"},{"id":269979,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1025/OFR2013_1025.pdf"}],"country":"United States","state":"Pennsylvania","county":"Allegheny County;Susquehanna County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.616,39.8197 ], [ -80.616,42.4619 ], [ -75.1771,42.4619 ], [ -75.1771,39.8197 ], [ -80.616,39.8197 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e6e4b087909f0bbe4f","contributors":{"authors":[{"text":"Slonecker, E.T.","contributorId":41132,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.T.","email":"","affiliations":[],"preferred":false,"id":476481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milheim, L.E.","contributorId":106320,"corporation":false,"usgs":true,"family":"Milheim","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":476484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roig-Silva, C.M.","contributorId":45176,"corporation":false,"usgs":true,"family":"Roig-Silva","given":"C.M.","affiliations":[],"preferred":false,"id":476482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malizia, A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":476483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044976,"text":"sim3251 - 2013 - Flood-inundation maps for the White River at Spencer, Indiana","interactions":[],"lastModifiedDate":"2013-03-25T16:53:52","indexId":"sim3251","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"3251","title":"Flood-inundation maps for the White River at Spencer, Indiana","docAbstract":"Digital flood-inundation maps for a 5.3-mile reach of the White River at Spencer, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. 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 White River at Spencer, Indiana (sta. no. 03357000). Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/. National Weather Service (NWS)-forecasted peak-stage inforamation may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation at the White River at Spencer, Indiana, streamgage and documented high-water marks from the flood of June 8, 2008. The hydraulic model was then used to compute 20 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the NWS action stage (9 feet) to the highest rated stage (28 feet) at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps along with Internet information regarding the current stage from the Spencer USGS streamgage and forecasted stream stages from the NWS will provide emergency management personnel and residents with information that is critical for 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/sim3251","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Nystrom, E.A., 2013, Flood-inundation maps for the White River at Spencer, Indiana: U.S. Geological Survey Scientific Investigations Map 3251, Pamphlet: vi, 8 p.; 20 Sheets: Low Resolution JPGs; 20 Sheets: 17 x 22 inches; Downloads Directory; ReadMe; Grids; Polygons; Metadata, https://doi.org/10.3133/sim3251.","productDescription":"Pamphlet: vi, 8 p.; 20 Sheets: Low Resolution JPGs; 20 Sheets: 17 x 22 inches; Downloads Directory; ReadMe; Grids; Polygons; Metadata","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":270050,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet01_534.63_SIM3251.pdf"},{"id":270051,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet02_535.63_SIM3251.pdf"},{"id":270063,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet09_542.63_SIM3251.pdf"},{"id":270053,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet03_536.63_SIM3251.pdf"},{"id":270054,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet04_537.63_SIM3251.pdf"},{"id":270056,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet06_539.63_SIM3251.pdf"},{"id":270064,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet10_543.63_SIM3251.pdf"},{"id":270068,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet12_545.63_SIM3251.pdf"},{"id":270066,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet11_544.63_SIM3251.pdf"},{"id":270069,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet14_547.63_SIM3251.pdf"},{"id":270071,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet13_546.63_SIM3251.pdf"},{"id":270059,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet05_538.63_SIM3251.pdf"},{"id":270060,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet07_540.63_SIM3251.pdf"},{"id":270075,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet16_549.63_SIM3251.pdf"},{"id":270076,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet17_550.63_SIM3251.pdf"},{"id":270062,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet08_541.63_SIM3251.pdf"},{"id":270072,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet15_548.63_SIM3251.pdf"},{"id":270079,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet20_553.63_SIM3251.pdf"},{"id":270087,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3251/Downloads/00Readme.txt"},{"id":270078,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet18_551.63_SIM3251.pdf"},{"id":270088,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3251/Downloads/gis_data/depth_grids/SIM3251_dep_grd_metadata.xml"},{"id":270081,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3251/pdf/pdf_mapsheets/sheet19_552.63_SIM3251.pdf"},{"id":270083,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3251/"},{"id":270084,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3251/pdf/sim3251.pdf"},{"id":270086,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3251/Downloads"},{"id":270089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3251.gif"}],"country":"United States","state":"Indiana","city":"Spencer","otherGeospatial":"White River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.783333,39.000000 ], [ -86.783333,39.308333 ], [ -86.733333,39.308333 ], [ -86.733333,39.000000 ], [ -86.783333,39.000000 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e1e4b087909f0bbe3b","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476549,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044988,"text":"ds69F3 - 2013 - Geology and oil and gas assessment of the Todilto Total Petroleum System, San Juan Basin Province, New Mexico and Colorado: Chapter 3 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T08:48:24","indexId":"ds69F3","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69-F-3","title":"Geology and oil and gas assessment of the Todilto Total Petroleum System, San Juan Basin Province, New Mexico and Colorado: Chapter 3 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"Organic-rich, shaly limestone beds, which contain hydrocarbon source beds in the lower part of the Jurassic Todilto Limestone Member of the Wanakah Formation, and sandstone reservoirs in the overlying Jurassic Entrada Sandstone, compose the Todilto Total Petroleum System (TPS). Source rock facies of the Todilto Limestone were deposited in a combined marine-lacustrine depositional setting. Sandstone reservoirs in the Entrada Sandstone were deposited in eolian depositional environments. Oil in Todilto source beds was generated beginning in the middle Paleocene, about 63 million years ago, and maximum generation of oil occurred in the middle Eocene. In the northern part of the San Juan Basin, possible gas and condensate were generated in Todilto Limestone Member source beds until the middle Miocene. The migration distance of oil from the Todilto source beds into the underlying Entrada Sandstone reservoirs was short, probably within the dimensions of a single dune crest. Traps in the Entrada are mainly stratigraphic and diagenetic. Regional tilt of the strata to the northeast has influenced structural trapping of oil, but also allowed for later introduction of water. Subsequent hydrodynamic forces have influenced the repositioning of the oil in some reservoirs and flushing in others. Seals are mostly the anhydrite and limestone facies of the Todilto, which thin to as little as 10 ft over the crests of the dunes. The TPS contains only one assessment unit, the Entrada Sandstone Conventional Oil Assessment Unit (AU) (50220401). Only four of the eight oil fields producing from the Entrada met the 0.5 million barrels of oil minimum size used for this assessment. The AU was estimated at the mean to have potential additions to reserves of 2.32 million barrels of oil (MMBO), 5.56 billion cubic feet of natural gas (BCFG), and 0.22 million barrels of natural gas liquids (MMBNGL).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F3","collaboration":"This report is Chapter 3 in Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","usgsCitation":"Ridgley, J., and Hatch, J.R., 2013, Geology and oil and gas assessment of the Todilto Total Petroleum System, San Juan Basin Province, New Mexico and Colorado: Chapter 3 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-3, iv, 29 p., https://doi.org/10.3133/ds69F3.","productDescription":"iv, 29 p.","numberOfPages":"33","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f3.gif"},{"id":270101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter3_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c38ee4b01197b08e9ca0","contributors":{"authors":[{"text":"Ridgley, J.L.","contributorId":17307,"corporation":false,"usgs":true,"family":"Ridgley","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":476569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatch, J. R.","contributorId":14775,"corporation":false,"usgs":true,"family":"Hatch","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476568,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044984,"text":"ds69F1 - 2013 - Executive summary--2002 assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado: Chapter 1 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T13:00:00","indexId":"ds69F1","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69-F-1","title":"Executive summary--2002 assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado: Chapter 1 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"In 2002, the U.S. Geological Survey (USGS) estimated undiscovered oil and gas resources that have the potential for additions to reserves in the San Juan Basin Province (5022), New Mexico and Colorado (fig. 1). Paleozoic rocks were not appraised. The last oil and gas assessment for the province was in 1995 (Gautier and others, 1996). There are several important differences between the 1995 and 2002 assessments. The area assessed is smaller than that in the 1995 assessment. This assessment of undiscovered hydrocarbon resources in the San Juan Basin Province also used a slightly different approach in the assessment, and hence a number of the plays defined in the 1995 assessment are addressed differently in this report. After 1995, the USGS has applied a total petroleum system (TPS) concept to oil and gas basin assessments. The TPS approach incorporates knowledge of the source rocks, reservoir rocks, migration pathways, and time of generation and expulsion of hydrocarbons; thus the assessments are geologically based. Each TPS is subdivided into one or more assessment units, usually defined by a unique set of reservoir rocks, but which have in common the same source rock. Four TPSs and 14 assessment units were geologically evaluated, and for 13 units, the undiscovered oil and gas resources were quantitatively assessed.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F1","collaboration":"This report is Chapter 1 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i> (DS 69-F)","usgsCitation":"U.S. Geological Survey San Juan Basin Assessment Team, 2013, Executive summary--2002 assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado: Chapter 1 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-1, iii, 4 p., https://doi.org/10.3133/ds69F1.","productDescription":"iii, 4 p.","numberOfPages":"8","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f1.gif"},{"id":270094,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270095,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter1_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163dfe4b087909f0bbe37","contributors":{"authors":[{"text":"U.S. Geological Survey San Juan Basin Assessment Team","contributorId":128072,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey San Juan Basin Assessment Team","id":535458,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044983,"text":"ds69F - 2013 - Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado","interactions":[],"lastModifiedDate":"2013-03-25T20:04:21","indexId":"ds69F","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","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":"69","chapter":"F","title":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado","docAbstract":"In 2002, the U.S. Geological Survey (USGS) estimated undiscovered oil and gas resources that have the potential for additions to reserves in the San Juan Basin Province, New Mexico and Colorado. Paleozoic rocks were not appraised. The last oil and gas assessment for the province was in 1995. There are several important differences between the 1995 and 2002 assessments. The area assessed is smaller than that in the 1995 assessment. This assessment of undiscovered hydrocarbon resources in the San Juan Basin Province also used a slightly different approach in the assessment, and hence a number of the plays defined in the 1995 assessment are addressed differently in this report. After 1995, the USGS has applied a total petroleum system (TPS) concept to oil and gas basin assessments. The TPS approach incorporates knowledge of the source rocks, reservoir rocks, migration pathways, and time of generation and expulsion of hydrocarbons; thus the assessments are geologically based. Each TPS is subdivided into one or more assessment units, usually defined by a unique set of reservoir rocks, but which have in common the same source rock. Four TPSs and 14 assessment units were geologically evaluated, and for 13 units, the undiscovered oil and gas resources were quantitatively assessed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F","collaboration":"National Assessment of Oil and Gas Project","usgsCitation":"U.S. Geological Survey San Juan Basin Assessment Team, 2013, Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado: U.S. Geological Survey Data Series 69, Variously Paginated; 7 Chapters; Spatial Data, https://doi.org/10.3133/ds69F.","productDescription":"Variously Paginated; 7 Chapters; Spatial Data","numberOfPages":"345","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f.gif"},{"id":270091,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270092,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/DDS-69F_BOOK_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e7e4b087909f0bbe57","contributors":{"authors":[{"text":"U.S. Geological Survey San Juan Basin Assessment Team","contributorId":128072,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey San Juan Basin Assessment Team","id":535457,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040199,"text":"70040199 - 2013 - Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface","interactions":[],"lastModifiedDate":"2013-03-24T22:04:10","indexId":"70040199","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface","docAbstract":"Ethanol (EtOH), an emerging contaminant with potential direct and indirect environmental effects, poses threats to water supplies when spilled in large volumes. A series of experiments was directed at understanding the electrical geophysical signatures arising from groundwater contamination by ethanol. Conductivity measurements were performed at the laboratory scale on EtOH–water mixtures (0 to 0.97 v/v EtOH) and EtOH–salt solution mixtures (0 to 0.99 v/v EtOH) with and without a sand matrix using a conductivity probe and a four-electrode electrical measurement over the low frequency range (1–1000 Hz). A Lichtenecker–Rother (L–R) type mixing model was used to simulate electrical conductivity as a function of EtOH concentration in the mixture. For all three experimental treatments increasing EtOH concentration resulted in a decrease in measured conductivity magnitude (|σ|). The applied L–R model fitted the experimental data at concentration ≤ 0.4 v/v EtOH, presumably due to predominant and symmetric intermolecular (EtOH–water) interaction in the mixture. The deviation of the experimental |σ| data from the model prediction at higher EtOH concentrations may be associated with hydrophobic effects of EtOH–EtOH interactions in the mixture. The |σ| data presumably reflected changes in relative strength of the three types of interactions (water–water, EtOH–water, and EtOH–EtOH) occurring simultaneously in EtOH–water mixtures as the ratio of EtOH to water changed. No evidence of measurable polarization effects at the EtOH–water and EtOH–water–mineral interfaces over the investigated frequency range was found. Our results indicate the potential for using electrical measurements to characterize and monitor EtOH spills in the subsurface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2012.10.011","usgsCitation":"Personna, Y.R., Slater, L., Ntarlagiannis, D., Werkema, D.D., and Szabo, Z., 2013, Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface: Journal of Contaminant Hydrology, v. 144, no. 1, p. 99-107, https://doi.org/10.1016/j.jconhyd.2012.10.011.","productDescription":"9 p.","startPage":"99","endPage":"107","ipdsId":"IP-037076","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":269971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2012.10.011"}],"volume":"144","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5150125fe4b08df5cb1312cd","contributors":{"authors":[{"text":"Personna, Yves Robert","contributorId":77820,"corporation":false,"usgs":false,"family":"Personna","given":"Yves","email":"","middleInitial":"Robert","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":467875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":467874,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042105,"text":"70042105 - 2013 - Contraception can lead to trophic asynchrony between birth pulse and resources","interactions":[],"lastModifiedDate":"2013-03-24T15:44:25","indexId":"70042105","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Contraception can lead to trophic asynchrony between birth pulse and resources","docAbstract":"Abiotic inputs such as photoperiod and temperature can regulate reproductive cyclicity in many species. When humans perturb this process by intervening in reproductive cycles, the ecological consequences may be profound. Trophic mismatches between birth pulse and resources in wildlife species may cascade toward decreased survival and threaten the viability of small populations. We followed feral horses (Equus caballus) in three populations for a longitudinal study of the transient immunocontraceptive porcine zona pellucida (PZP), and found that repeated vaccinations extended the duration of infertility far beyond the targeted period. After the targeted years of infertility, the probability of parturition from post-treated females was 25.6% compared to 64.1% for untreated females, when the data were constrained only to females that had demonstrated fertility prior to the study. Estimated time to parturition increased 411.3 days per year of consecutive historical treatment. Births from untreated females in these temperate latitude populations were observed to peak in the middle of May, indicating peak conception occurred around the previous summer solstice. When the post-treated females did conceive and give birth, parturition was an estimated 31.5 days later than births from untreated females, resulting in asynchrony with peak forage availability. The latest neonate born to a post-treated female arrived 7.5 months after the peak in births from untreated females, indicating conception occurred within 24–31 days of the winter solstice. These results demonstrate surprising physiological plasticity for temperate latitude horses, and indicate that while photoperiod and temperature are powerful inputs driving the biological rhythms of conception and birth in horses, these inputs may not limit their ability to conceive under perturbed conditions. The protracted infertility observed in PZP-treated horses may be of benefit for managing overabundant wildlife, but also suggests caution for use in small refugia or rare species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0054972","usgsCitation":"Ransom, J.I., Hobbs, N., and Bruemmer, J., 2013, Contraception can lead to trophic asynchrony between birth pulse and resources: PLoS ONE, v. 8, no. 1, e54972; 9 p., https://doi.org/10.1371/journal.pone.0054972.","productDescription":"e54972; 9 p.","ipdsId":"IP-042567","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054972","text":"Publisher Index Page"},{"id":269938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269937,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054972"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-28","publicationStatus":"PW","scienceBaseUri":"5150125ae4b08df5cb1312bd","contributors":{"authors":[{"text":"Ransom, Jason I. 0000-0002-5930-4004","orcid":"https://orcid.org/0000-0002-5930-4004","contributorId":71645,"corporation":false,"usgs":true,"family":"Ransom","given":"Jason","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":470776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobbs, N. Thompson","contributorId":35031,"corporation":false,"usgs":true,"family":"Hobbs","given":"N. Thompson","affiliations":[],"preferred":false,"id":470775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruemmer, Jason","contributorId":75405,"corporation":false,"usgs":true,"family":"Bruemmer","given":"Jason","email":"","affiliations":[],"preferred":false,"id":470777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041623,"text":"70041623 - 2013 - Development and application of an agricultural intensity index to invertebrate and algal metrics from streams at two scales","interactions":[],"lastModifiedDate":"2013-04-04T14:24:55","indexId":"70041623","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Development and application of an agricultural intensity index to invertebrate and algal metrics from streams at two scales","docAbstract":"Research was conducted at 28-30 sites within eight study areas across the United States along a gradient of nutrient enrichment/agricultural land use between 2003 and 2007. Objectives were to test the application of an agricultural intensity index (AG-Index) and compare among various invertebrate and algal metrics to determine indicators of nutrient enrichment nationally and within three regions. The agricultural index was based on total nitrogen and phosphorus input to the watershed, percent watershed agriculture, and percent riparian agriculture. Among data sources, agriculture within riparian zone showed significant differences among values generated from remote sensing or from higher resolution orthophotography; median values dropped significantly when estimated by orthophotography. Percent agriculture in the watershed consistently had lower correlations to invertebrate and algal metrics than the developed AG-Index across all regions. Percent agriculture showed fewer pairwise comparisons that were significant than the same comparisons using the AG-Index. Highest correlations to the AG-Index regionally were −0.75 for Ephemeroptera, Plecoptera, and Trichoptera richness (EPTR) and −0.70 for algae Observed/Expected (O/E), nationally the highest was −0.43 for EPTR vs. total nitrogen and −0.62 for algae O/E vs. AG-Index. Results suggest that analysis of metrics at national scale can often detect large differences in disturbance, but more detail and specificity is obtained by analyzing data at regional scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/jawr.12032","usgsCitation":"Waite, I.R., 2013, Development and application of an agricultural intensity index to invertebrate and algal metrics from streams at two scales: Journal of the American Water Resources Association, v. 49, no. 2, p. 431-448, https://doi.org/10.1111/jawr.12032.","productDescription":"18 p.","startPage":"431","endPage":"448","ipdsId":"IP-040822","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":269967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269966,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12032"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-25","publicationStatus":"PW","scienceBaseUri":"5150125de4b08df5cb1312c5","contributors":{"authors":[{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469998,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044915,"text":"sir20135012 - 2013 - Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2013-03-23T15:52:02","indexId":"sir20135012","displayToPublicDate":"2013-03-23T00:00:00","publicationYear":"2013","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":"2013-5012","title":"Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","docAbstract":"Paleomagnetic inclination and polarity studies were conducted on subcore samples from eight coreholes located at and near the Naval Reactors Facility (NRF), Idaho National Laboratory (INL). These studies were used to characterize and to correlate successive stratigraphic basalt flow groups in each corehole to basalt flow groups with similar paleomagnetic inclinations in adjacent coreholes. Results were used to extend the subsurface geologic framework at the INL previously derived from paleomagnetic data for south INL coreholes. Geologic framework studies are used in conceptual and numerical models of groundwater flow and contaminant transport. Sample handling and demagnetization protocols are described, as well as the paleomagnetic data averaging process.\n\nPaleomagnetic inclination comparisons among NRF coreholes show comparable stratigraphic successions of mean inclination values over tens to hundreds of meters of depth. Corehole USGS 133 is more than 5 kilometers from the nearest NRF area corehole, and the mean inclination values of basalt flow groups in that corehole are somewhat less consistent than with NRF area basalt flow groups. Some basalt flow groups in USGS 133 are missing, additional basalt flow groups are present, or the basalt flow groups are at depths different from those of NRF area coreholes.\n\nAge experiments on young, low potassium olivine tholeiite basalts may yield inconclusive results; paleomagnetic and stratigraphic data were used to choose the most reasonable ages. Results of age experiments using conventional potassium argon and argon-40/argon-39 protocols indicate that the youngest and uppermost basalt flow group in the NRF area is 303 ± 30 ka and that the oldest and deepest basalt flow group analyzed is 884 ± 53 ka.\n\nA south to north line of cross-section drawn through the NRF coreholes shows corehole-to-corehole basalt flow group correlations derived from the paleomagnetic inclination data. From stratigraphic top to bottom, key results include the following:\n\n* The West of Advanced Test Reactor Complex (ATRC) flow group is the uppermost basalt flow group in the NRF area and correlates among seven continuously cored holes in this study under surficial sediments. The West of ATRC flow group is also found in coreholes near the ATRC, the Idaho Nuclear Technology and Engineering Center (INTEC), and in corehole USGS 129.\n* The ATRC Unknown Vent flow group correlates among seven continuously cored holes in this study underlying the West of ATRC flow group and a sedimentary interbed. Additional paleomagnetic inclination and stratigraphic data derived from the NRF coreholes changed the previously reported interpretation of the subsurface distribution of this basalt flow group. The ATRC Unknown Vent flow group also is found in coreholes near the ATRC and INTEC.\n* The Central Facilities Area (CFA) Buried Vent flow group correlates among all eight coreholes in the NRF area. It also is found in coreholes near the CFA and the Radioactive Waste Management Complex (RWMC) to the south. This basalt flow group is thickest near the CFA, which may indicate proximity to the vent. The State Butte flow group is found below the CFA Buried Vent flow group in the four northern NRF coreholes. It correlates to the State Butte surface vent located just northeast of the NRF. It is not found in coreholes south of the NRF.\n* The Atomic Energy Commission (AEC) Butte flow group is found in coreholes USGS 133, NRF 6P, and NRF 7P. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The AEC Butte flow group vent is exposed at the surface near the ATRC, and its flows are found in many coreholes near the ATRC and INTEC. The AEC Butte flow group abruptly pinches out against the Matuyama Chron reversed polarity flows of the East Matuyama Middle flow group between coreholes NRF 7P and NRF 15.\n* The East Matuyama Middle flow group correlates between coreholes NRF 15 and NRF 16 and may correlate to coreholes NPR Test/W-02 and ANL-OBS-A-001.\n* The North Late Matuyama flow group correlates among coreholes USGS 133, NRF 6P, NRF 7P, NRF 15, and NRF 16. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The vent that produced the North Late Matuyama flow group may be located in the general NRF area because it is thickest near corehole NRF 6P.\n* The Matuyama flow group is found in coreholes in the southern INL from south of the RWMC to corehole USGS 133 and may extend north to corehole NRF 15. The Matuyama flow group is thickest near the RWMC and thins to the north.\n* The Jaramillo (Matuyama) flow group is found in corehole NRF 15, which is the deepest NRF corehole, and shows that the basalt flow group is thick in the subsurface at NRF. This flow group is thickest between the RWMC and INTEC and thins towards the ATRC and NRF.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135012","collaboration":"DOE/ID-22223 Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Champion, D.E., Davis, L.C., Hodges, M., and Lanphere, M.A., 2013, Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5012, vi, 48 p.; Plate: 1 Sheet: 17  x 11 inches, https://doi.org/10.3133/sir20135012.","productDescription":"vi, 48 p.; Plate: 1 Sheet: 17  x 11 inches","numberOfPages":"58","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":269874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135012.jpg"},{"id":269871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5012/"},{"id":269873,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012_plate1.pdf"},{"id":269872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012.pdf"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.5,-43.0 ], [ -113.5,44.5 ], [ -112.0,44.5 ], [ -112.0,-43.0 ], [ -113.5,-43.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514ec0d8e4b0978cb8834030","contributors":{"authors":[{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":476460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Mary K.V.","contributorId":66848,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K.V.","affiliations":[],"preferred":false,"id":476461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanphere, Marvin A. alder@usgs.gov","contributorId":2696,"corporation":false,"usgs":true,"family":"Lanphere","given":"Marvin","email":"alder@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":476459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041274,"text":"70041274 - 2013 - Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments","interactions":[],"lastModifiedDate":"2013-04-04T14:19:57","indexId":"70041274","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments","docAbstract":"Rates of U(VI) release from individual dry-sieved size fractions of a field-aggregated, field-contaminated composite sediment from the seasonally saturated lower vadose zone of the Hanford 300-Area were examined in flow-through reactors to maintain quasi-constant chemical conditions. The principal source of variability in equilibrium U(VI) adsorption properties of the various size fractions was the impact of variable chemistry on adsorption. This source of variability was represented using surface complexation models (SCMs) with different stoichiometric coefficients with respect to hydrogen ion and carbonate concentrations for the different size fractions. A reactive transport model incorporating equilibrium expressions for cation exchange and calcite dissolution, along with rate expressions for aerobic respiration and silica dissolution, described the temporal evolution of solute concentrations observed during the flow-through reactor experiments. Kinetic U(VI) desorption was well described using a multirate SCM with an assumed lognormal distribution for the mass-transfer rate coefficients. The estimated mean and standard deviation of the rate coefficients were the same for all <2 mm size fractions but differed for the 2–8 mm size fraction. Micropore volumes, assessed using t-plots to analyze N2 desorption data, were also the same for all dry-sieved <2 mm size fractions, indicating a link between micropore volumes and mass-transfer rate properties. Pore volumes for dry-sieved size fractions exceeded values for the corresponding wet-sieved fractions. We hypothesize that repeated field wetting and drying cycles lead to the formation of aggregates and/or coatings containing (micro)pore networks which provided an additional mass-transfer resistance over that associated with individual particles. The 2–8 mm fraction exhibited a larger average and standard deviation in the distribution of mass-transfer rate coefficients, possibly caused by the abundance of microporous basaltic rock fragments.","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":"10.1002/wrcr.20104","usgsCitation":"Stoliker, D., Liu, C., Kent, D.B., and Zachara, J.M., 2013, Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments: Water Resources Research, v. 49, no. 2, p. 1163-1177, https://doi.org/10.1002/wrcr.20104.","productDescription":"15 p.","startPage":"1163","endPage":"1177","ipdsId":"IP-042410","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20104","text":"Publisher Index Page"},{"id":269865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269864,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20104"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-12","publicationStatus":"PW","scienceBaseUri":"514c1ddde4b0cf4196fef2d1","contributors":{"authors":[{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":469486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Chongxuan","contributorId":66983,"corporation":false,"usgs":true,"family":"Liu","given":"Chongxuan","email":"","affiliations":[],"preferred":false,"id":469488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":469485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469487,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70040826,"text":"70040826 - 2013 - Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow","interactions":[],"lastModifiedDate":"2013-04-20T20:16:02","indexId":"70040826","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow","docAbstract":"The impact of preferential flow on recharge and contaminant transport poses a considerable challenge to water-resources management. Typical hydrologic models require extensive site characterization, but can underestimate fluxes when preferential flow is significant. A recently developed source-responsive model incorporates film-flow theory with conservation of mass to estimate unsaturated-zone preferential fluxes with readily available data. The term source-responsive describes the sensitivity of preferential flow in response to water availability at the source of input. We present the first rigorous tests of a parsimonious formulation for simulating water table fluctuations using two case studies, both in arid regions with thick unsaturated zones of fractured volcanic rock. Diffuse flow theory cannot adequately capture the observed water table responses at both sites; the source-responsive model is a viable alternative. We treat the active area fraction of preferential flow paths as a scaled function of water inputs at the land surface then calibrate the macropore density to fit observed water table rises. Unlike previous applications, we allow the characteristic film-flow velocity to vary, reflecting the lag time between source and deep water table responses. Analysis of model performance and parameter sensitivity for the two case studies underscores the importance of identifying thresholds for initiation of film flow in unsaturated rocks, and suggests that this parsimonious approach is potentially of great practical value.","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":"10.1002/wrcr.20141","usgsCitation":"Mirus, B.B., and Nimmo, J., 2013, Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow: Water Resources Research, v. 49, no. 3, p. 1458-1465, https://doi.org/10.1002/wrcr.20141.","productDescription":"8 p.","startPage":"1458","endPage":"1465","ipdsId":"IP-042286","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473910,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20141","text":"Publisher Index Page"},{"id":269842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269841,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20141"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-12","publicationStatus":"PW","scienceBaseUri":"514c1ddae4b0cf4196fef2c5","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":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":469083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":469084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044741,"text":"70044741 - 2013 - Characterization of the OmyY1 region on the rainbow trout Y chromosome","interactions":[],"lastModifiedDate":"2013-03-21T15:08:05","indexId":"70044741","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2045,"text":"International Journal of Genomics","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the OmyY1 region on the rainbow trout Y chromosome","docAbstract":"We characterized the male-specific region on the Y chromosome of rainbow trout, which contains both sdY (the sex-determining gene) and the male-specific genetic marker, OmyY1. Several clones containing the OmyY1 marker were screened from a BAC library from a YY clonal line and found to be part of an 800 kb BAC contig.  Using fluorescence in situ hybridization (FISH), these clones were localized to the end of the short arm of the Y chromosome in rainbow trout, with an additional signal on the end of the X chromosome in many cells. We sequenced a minimum tiling path of these clones using Illumina and 454 pyrosequencing.  The region is rich in transposons and rDNA, but also appears to contain several single-copy protein-coding genes.  Most of these genes are also found on the X chromosome; and in several cases sex-specific SNPs in these genes were identified between the male (YY) and female (XX) homozygous clonal lines. Additional genes were identified by hybridization of the BACs to the cGRASP salmonid 4x44K oligo microarray. By BLASTn evaluations using hypothetical transcripts of OmyY1-linked candidate genes as query against several EST databases, we conclude at least 12 of these candidate genes are likely functional, and expressed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Genomics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","publisherLocation":"Cairo, Egypt","doi":"10.1155/2013/261730","usgsCitation":"Phillips, R.B., DeKoning, J.J., Brunelli, J.P., Faber-Hammond, J.J., Hansen, J.D., Christensen, K.A., Renn, S., and Thorgaard, G.H., 2013, Characterization of the OmyY1 region on the rainbow trout Y chromosome: International Journal of Genomics, v. 2013, 261730; 10 p., https://doi.org/10.1155/2013/261730.","productDescription":"261730; 10 p.","ipdsId":"IP-043508","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2013/261730","text":"Publisher Index Page"},{"id":269861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269860,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1155/2013/261730"}],"volume":"2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddce4b0cf4196fef2cd","chorus":{"doi":"10.1155/2013/261730","url":"http://dx.doi.org/10.1155/2013/261730","publisher":"Hindawi Publishing Corporation","authors":"Phillips Ruth B., DeKoning Jenefer J., Brunelli Joseph P., Faber-Hammond Joshua J., Hansen John D., Christensen Kris A., Renn Suzy C. P., Thorgaard Gary H.","journalName":"International Journal of Genomics","publicationDate":"2013","auditedOn":"11/9/2014","publiclyAccessibleDate":"1/1/2013"},"contributors":{"authors":[{"text":"Phillips, Ruth B.","contributorId":9607,"corporation":false,"usgs":true,"family":"Phillips","given":"Ruth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":476270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeKoning, Jenefer J.","contributorId":19052,"corporation":false,"usgs":true,"family":"DeKoning","given":"Jenefer","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunelli, Joseph P.","contributorId":84237,"corporation":false,"usgs":true,"family":"Brunelli","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":476275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faber-Hammond, Joshua J.","contributorId":95352,"corporation":false,"usgs":true,"family":"Faber-Hammond","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, John D. 0000-0002-3006-2734 jhansen@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":3440,"corporation":false,"usgs":true,"family":"Hansen","given":"John","email":"jhansen@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christensen, Kris A.","contributorId":48066,"corporation":false,"usgs":true,"family":"Christensen","given":"Kris","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Renn, Suzy","contributorId":62487,"corporation":false,"usgs":true,"family":"Renn","given":"Suzy","email":"","affiliations":[],"preferred":false,"id":476274,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thorgaard, Gary H.","contributorId":60512,"corporation":false,"usgs":true,"family":"Thorgaard","given":"Gary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476273,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044743,"text":"sim3246 - 2013 - Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","interactions":[],"lastModifiedDate":"2013-03-21T16:12:53","indexId":"sim3246","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"3246","title":"Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","docAbstract":"Digital flood-inundation maps for a 4.0-mile reach of the Iroquois River at Rensselaer, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. 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 USGS streamgage 05522500, Iroquois River at Rensselaer, Ind. Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet at (http://waterdata.usgs.gov/in/nwis/uv?site_no=05522500). In addition, the National Weather Service (NWS) forecasts flood hydrographs at the Rensselaer streamgage. That forecasted peak-stage information, also available on the Internet (http://water.weather.gov/ahps/), may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nFor this study, flood profiles were computed for the Iroquois River reach by means of a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current (June 27, 2012) stage-discharge relations at USGS streamgage 05522500, Iroquois River at Rensselaer, Ind., and high-water marks from the flood of July 2003. The calibrated hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage at Rensselaer, Ind., and forecasted stream stages from the NWS, provides emergency management personnel and residents with information that is critical for 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/sim3246","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., and Bunch, A.R., 2013, Flood-inundation maps for the Iroquois River at Rensselaer, Indiana: U.S. Geological Survey Scientific Investigations Map 3246, Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory, https://doi.org/10.3133/sim3246.","productDescription":"Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":269870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3246.png"},{"id":269868,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3246/SIM3246_map_sheets_pdf"},{"id":269869,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3246/Downloads"},{"id":269866,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3246/"},{"id":269867,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3246/pdf/SIM3246.pdf"}],"country":"United States","state":"Indiana","city":"Rensselaer","otherGeospatial":"Iroquois River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.216667,40.55 ], [ -87.216667,40.966667 ], [ -87.1,40.966667 ], [ -87.1,40.55 ], [ -87.216667,40.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddde4b0cf4196fef2d5","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476278,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044740,"text":"sir20125247 - 2013 - Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","interactions":[],"lastModifiedDate":"2013-03-21T14:03:42","indexId":"sir20125247","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"2012-5247","title":"Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","docAbstract":"Ninety percent of the drinking water for New York City passes through the Hillview Reservoir facility in the City of Yonkers, Westchester County, New York. In the past, several seeps located downslope from the reservoir have flowed out from the side of the steepest slope at the southern end of the earthen embankment. One seep that has been flowing continuously was discovered during an inspection of the embankment in 1999. Efforts were made in 2001 to locate the potential sources of the continuous flowing seep. In 2005, the U.S. Geological Survey, in cooperation with the New York City Department of Environmental Protection, began a cooperative study to investigate the relevant hydrogeologic framework to characterize the local groundwater-flow system and to determine possible sources of the seeps. The two agencies used hydrologic and surface geophysical techniques to assess the earthen embankment of the Hillview Reservoir. Between April 1, 2005 and March 1, 2008, water levels were measured manually each month at 46 wells surrounding the reservoir, and flow was measured monthly at three of the five seeps on the embankment. Water levels were measured hourly in the East Basin of the reservoir, at 24 of 46 wells, and discharge was measured hourly at two of the five seeps. Slug tests were performed at 16 wells to determine the hydraulic conductivity of the geologic material surrounding the screened zone. Estimated hydraulic conductivities for 25 wells on the southern embankment ranged from 0.0063 to 1.2 feet per day and averaged 0.17 foot per day. The two-dimensional resistivity surveys indicate a subsurface mound of electrically conductive material (low-resistivity zone) beneath the terrace area (top of dam) surrounding the reservoir with a distinct elevation increase closer to the crest. Two-dimensional shear wave velocity surveys indicate a similar structure of the high shear wave velocity materials (high-velocity zone), increasing in elevation toward the crest and decreasing toward the reservoir and toward the northern part of the study area. Water-quality samples collected from 12 wells, downtake chamber 1 of the reservoir, and two seeps detected the presence of arsenic, toluene, and two trihalomethanes. Water-quality samples collected at the two seeps detected fluoride, indicating a connection with reservoir water.\n\nShallow wells on the southern embankment exhibited the largest seasonal water-level fluctuations ranging between 6 feet and 12 feet. The embankment is constructed from reworked low-permeability glacial deposits at the site. Water-level responses in observation wells within the embankment indicate that there is a shallow (approximately the upper 45 feet of the embankment) and a deep water-bearing unit within the embankment with a large downward vertical gradient between the shallow and deep water-bearing units. Precipitation strongly affected water levels in shallow wells, whereas the basin appears to be the main control on water levels in the deep wells. Seeps on the embankment slope appear to be caused by above-average precipitation that increases water levels in the shallow water-bearing unit, but does not easily recharge the deep water-bearing unit. Based on the data that have been analyzed, source water to the seeps appears to be primarily groundwater and, to a lesser extent, water from the East Basin of the reservoir.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125247","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Chu, A., Stumm, F., Joesten, P.K., and Noll, M.L., 2013, Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York: U.S. Geological Survey Scientific Investigations Report 2012-5247, vii, 64 p., https://doi.org/10.3133/sir20125247.","productDescription":"vii, 64 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":269858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125247.gif"},{"id":269856,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5247/"},{"id":269857,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5247/pdf/sir2012-5247_report_508.pdf"}],"country":"United States","state":"New York","county":"Westchester County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.982887,40.878872 ], [ -73.982887,41.36384 ], [ -73.482709,41.36384 ], [ -73.482709,40.878872 ], [ -73.982887,40.878872 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddee4b0cf4196fef2d9","contributors":{"authors":[{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":476266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044671,"text":"70044671 - 2013 - Representation of ecological systems within the protected areas network of the continental United States","interactions":[],"lastModifiedDate":"2018-12-20T13:16:17","indexId":"70044671","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Representation of ecological systems within the protected areas network of the continental United States","docAbstract":"If conservation of biodiversity is the goal, then the protected areas network of the continental US may be one of our best conservation tools for safeguarding ecological systems (i.e., vegetation communities). We evaluated representation of ecological systems in the current protected areas network and found insufficient representation at three vegetation community levels within lower elevations and moderate to high productivity soils. We used national-level data for ecological systems and a protected areas database to explore alternative ways we might be able to increase representation of ecological systems within the continental US. By following one or more of these alternatives it may be possible to increase the representation of ecological systems in the protected areas network both quantitatively (from 10% up to 39%) and geographically and come closer to meeting the suggested Convention on Biological Diversity target of 17% for terrestrial areas. We used the Landscape Conservation Cooperative framework for regional analysis and found that increased conservation on some private and public lands may be important to the conservation of ecological systems in Western US, while increased public-private partnerships may be important in the conservation of ecological systems in Eastern US. We have not assessed the pros and cons of following the national or regional alternatives, but rather present them as possibilities that may be considered and evaluated as decisions are made to increase the representation of ecological systems in the protected areas network across their range of ecological, geographical, and geophysical occurrence in the continental US into the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0054689","usgsCitation":"Aycrigg, J.L., Davidson, A., Svancara, L.K., Gergely, K.J., McKerrow, A., and Scott, J.M., 2013, Representation of ecological systems within the protected areas network of the continental United States: PLoS ONE, v. 8, no. 1, e54689; 15 p., https://doi.org/10.1371/journal.pone.0054689.","productDescription":"e54689; 15 p.","ipdsId":"IP-035086","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":473908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054689","text":"Publisher Index Page"},{"id":269836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269835,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054689"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.0,23.5 ], [ -126.0,49.0 ], [ -68.5,49.0 ], [ -68.5,23.5 ], [ -126.0,23.5 ] ] ] } } ] }","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-23","publicationStatus":"PW","scienceBaseUri":"514c1de1e4b0cf4196fef2e5","contributors":{"authors":[{"text":"Aycrigg, Jocelyn L.","contributorId":99445,"corporation":false,"usgs":true,"family":"Aycrigg","given":"Jocelyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":476213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davidson, Anne","contributorId":48268,"corporation":false,"usgs":true,"family":"Davidson","given":"Anne","affiliations":[],"preferred":false,"id":476211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svancara, Leona K.","contributorId":20071,"corporation":false,"usgs":true,"family":"Svancara","given":"Leona","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gergely, Kevin J. 0000-0002-4379-2189 gergely@usgs.gov","orcid":"https://orcid.org/0000-0002-4379-2189","contributorId":2706,"corporation":false,"usgs":true,"family":"Gergely","given":"Kevin","email":"gergely@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":476208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":4542,"corporation":false,"usgs":false,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":476209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, J. Michael","contributorId":98877,"corporation":false,"usgs":true,"family":"Scott","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":476212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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