{"pageNumber":"1462","pageRowStart":"36525","pageSize":"25","recordCount":165307,"records":[{"id":70045037,"text":"70045037 - 2013 - Comparative spring-staging ecology of sympatric arctic-nesting geese in south-central Nebraska","interactions":[],"lastModifiedDate":"2020-12-18T19:27:38.920107","indexId":"70045037","displayToPublicDate":"2013-03-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Comparative spring-staging ecology of sympatric arctic-nesting geese in south-central Nebraska","docAbstract":"<p><span>The Rainwater Basin in Nebraska has been a historic staging area for midcontinent greater white-fronted geese (</span><span class=\"genus-species\">Anser albifrons frontalis</span><span>) since the 1950s and, in the mid-1990s, millions of midcontinent lesser snow geese (</span><span class=\"genus-species\">Chen caerulescens caerulescens</span><span>) expanded their spring migration route to include this region. In response to speculation that snow geese may be in direct competition with white-fronted geese, we compared staging ecology by quantifying diet, habitat use, movement patterns, and time budgets during springs 1998–1999. Collected white-fronted geese (n  =  190) and snow geese (n  =  203) consumed primarily corn (</span><span class=\"genus-species\">Zea mays</span><span>; 97–98% aggregate dry mass) while staging in Nebraska; thus, diet overlap was nearly complete. Both species used cornfields most frequently during the morning (54–55%) and wetlands more during the afternoon (51–65%). When found grouped together, snow goose abundance was greater than white-fronted goose abundance by an average of 57 times (</span><span>se</span><span>&nbsp; =  11, n  =  131 groups) in crop fields and 28 times (</span><span>se</span><span>&nbsp; =  9, n  =  84 groups) in wetlands. Snow geese and white-fronted geese flew similar distances between roosting and feeding sites, leaving and returning to wetland roost sties at similar times in mornings and afternoons. Overlap in habitat-specific time budgets was high; resting was the most common behavior on wetlands, and foraging was a common behavior in fields. We observed 111 interspecific agonistic interactions while observing white-fronted and snow geese. White-fronted geese initiated and dominated more interactions with other waterfowl species than did snow geese (32 vs. 14%). Certain aspects of spring-staging niches (</span><i>i.e.</i><span>, diet, habitat use, movement patterns, and habitat-specific behavior) of white-fronted and snow geese overlapped greatly at this mid-latitude staging site, creating opportunity for potential food- and habitat-based competition between species. Snow geese did not consistently dominate interactions with white-fronted geese; yet large differences in their numbers coupled with high degrees of spatial, temporal, and ecological overlap support potential for exploitative competition during years when waste corn may be in short supply and dry years when few wetlands are available for staging waterfowl.</span></p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-169.2.371","usgsCitation":"Pearse, A.T., Krapu, G.L., and Cox, R.R., 2013, Comparative spring-staging ecology of sympatric arctic-nesting geese in south-central Nebraska: American Midland Naturalist, v. 169, no. 2, p. 371-381, https://doi.org/10.1674/0003-0031-169.2.371.","productDescription":"11 p.","startPage":"371","endPage":"381","ipdsId":"IP-030689","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":381506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0,40.0 ], [ -104.0,43.0 ], [ -95.3,43.0 ], [ -95.3,40.0 ], [ -104.0,40.0 ] ] ] } } ] }","volume":"169","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5155584fe4b04e73fa963872","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":476684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krapu, Gary L. 0000-0001-8482-6130 gkrapu@usgs.gov","orcid":"https://orcid.org/0000-0001-8482-6130","contributorId":3074,"corporation":false,"usgs":true,"family":"Krapu","given":"Gary","email":"gkrapu@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":476685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Robert R. Jr.","contributorId":6575,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476686,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045008,"text":"70045008 - 2013 - Mapping spatial resources with GPS animal telemetry: foraging manatees locate seagrass beds in the Ten Thousand Islands, Florida, USA","interactions":[],"lastModifiedDate":"2013-03-27T12:26:47","indexId":"70045008","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Mapping spatial resources with GPS animal telemetry: foraging manatees locate seagrass beds in the Ten Thousand Islands, Florida, USA","docAbstract":"Turbid water conditions make the delineation and characterization of benthic habitats difficult by traditional in situ and remote sensing methods. Here, we develop and validate modeling and sampling methodology for detecting and characterizing seagrass beds by analyzing GPS telemetry records from radio-tagged manatees. Between October 2002 and October 2005, 14 manatees were tracked in the Ten Thousand Islands (TTI) in southwest Florida (USA) using Global Positioning System (GPS) tags. High density manatee use areas were found to occur off each island facing the open, nearshore waters of the Gulf of Mexico. We implemented a spatially stratified random sampling plan and used a camera-based sampling technique to observe and record bottom observations of seagrass and macroalgae presence and abundance. Five species of seagrass were identified in our study area: Halodule wrightii, Thalassia testudinum, Syringodium filiforme, Halophila engelmannii, and Halophila decipiens. A Bayesian model was developed to choose and parameterize a spatial process function that would describe the observed patterns of seagrass and macroalgae. The seagrasses were found in depths <2 m and in the higher manatee use strata, whereas macroalgae was found at moderate densities at all sampled depths and manatee use strata. The manatee spatial data showed a strong association with seagrass beds, a relationship that increased seagrass sampling efficiency. Our camera-based field sampling proved to be effective for assessing seagrass density and spatial coverage under turbid water conditions, and would be an effective monitoring tool to detect changes in seagrass beds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research Science Center","publisherLocation":"Lüneburg, Germany","doi":"10.3354/meps10156","usgsCitation":"Slone, D., Reid, J.P., and Kenworthy, W., 2013, Mapping spatial resources with GPS animal telemetry: foraging manatees locate seagrass beds in the Ten Thousand Islands, Florida, USA: Marine Ecology Progress Series, v. 476, p. 285-299, https://doi.org/10.3354/meps10156.","productDescription":"15 p.","startPage":"285","endPage":"299","temporalStart":"2002-10-01","temporalEnd":"2005-10-31","ipdsId":"IP-034057","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10156","text":"Publisher Index Page"},{"id":270318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270317,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10156"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.52,24.85 ], [ -81.52,25.9 ], [ -80.385,25.9 ], [ -80.385,24.85 ], [ -81.52,24.85 ] ] ] } } ] }","volume":"476","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406dce4b030c71ee0670b","contributors":{"authors":[{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":476609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":476610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenworthy, W. Judson","contributorId":6927,"corporation":false,"usgs":true,"family":"Kenworthy","given":"W. Judson","affiliations":[],"preferred":false,"id":476611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045021,"text":"ofr20121225 - 2013 - Web-based flood database for Colorado, water years 1867 through 2011","interactions":[],"lastModifiedDate":"2013-03-27T09:10:10","indexId":"ofr20121225","displayToPublicDate":"2013-03-27T00:00:00","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":"2012-1225","title":"Web-based flood database for Colorado, water years 1867 through 2011","docAbstract":"In order to provide a centralized repository of flood information for the State of Colorado, the U.S. Geological Survey, in cooperation with the Colorado Department of Transportation, created a Web-based geodatabase for flood information from water years 1867 through 2011 and data for paleofloods occurring in the past 5,000 to 10,000 years. The geodatabase was created using the Environmental Systems Research Institute ArcGIS JavaScript Application Programing Interface 3.2. The database can be accessed at http://cwscpublic2.cr.usgs.gov/projects/coflood/COFloodMap.html.\n\nData on 6,767 flood events at 1,597 individual sites throughout Colorado were compiled to generate the flood database. The data sources of flood information are indirect discharge measurements that were stored in U.S. Geological Survey offices (water years 1867–2011), flood data from indirect discharge measurements referenced in U.S. Geological Survey reports (water years 1884–2011), paleoflood studies from six peer-reviewed journal articles (data on events occurring in the past 5,000 to 10,000 years), and the U.S. Geological Survey National Water Information System peak-discharge database (water years 1883–2010). A number of tests were performed on the flood database to ensure the quality of the data. The Web interface was programmed using the Environmental Systems Research Institute ArcGIS JavaScript Application Programing Interface 3.2, which allows for display, query, georeference, and export of the data in the flood database. The data fields in the flood database used to search and filter the database include hydrologic unit code, U.S. Geological Survey station number, site name, county, drainage area, elevation, data source, date of flood, peak discharge, and field method used to determine discharge. Additional data fields can be viewed and exported, but the data fields described above are the only ones that can be used for queries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121225","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Jarrett, R.D., Krammes, G.S., and Mommandi, A., 2013, Web-based flood database for Colorado, water years 1867 through 2011: U.S. Geological Survey Open-File Report 2012-1225, vi, 26 p., https://doi.org/10.3133/ofr20121225.","productDescription":"vi, 26 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1867-09-30","temporalEnd":"2011-09-30","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":270312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121225.gif"},{"id":270310,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1225/"},{"id":270311,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1225/OF12-1225-508.pdf"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406e1e4b030c71ee06717","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarrett, Robert D. rjarrett@usgs.gov","contributorId":2260,"corporation":false,"usgs":true,"family":"Jarrett","given":"Robert","email":"rjarrett@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":476633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krammes, Gary S. gkrammes@usgs.gov","contributorId":5102,"corporation":false,"usgs":true,"family":"Krammes","given":"Gary","email":"gkrammes@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":476635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mommandi, Amanullah","contributorId":40874,"corporation":false,"usgs":true,"family":"Mommandi","given":"Amanullah","email":"","affiliations":[],"preferred":false,"id":476636,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045007,"text":"70045007 - 2013 - Per capita invasion probabilities: an empirical model to predict rates of invasion via ballast water","interactions":[],"lastModifiedDate":"2013-03-27T12:31:53","indexId":"70045007","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Per capita invasion probabilities: an empirical model to predict rates of invasion via ballast water","docAbstract":"Ballast water discharges are a major source of species introductions into marine and estuarine ecosystems. To mitigate the introduction of new invaders into these ecosystems, many agencies are proposing standards that establish upper concentration limits for organisms in ballast discharge. Ideally, ballast discharge standards will be biologically defensible and adequately protective of the marine environment. We propose a new technique, the per capita invasion probability (PCIP), for managers to quantitatively evaluate the relative risk of different concentration-based ballast water discharge standards. PCIP represents the likelihood that a single discharged organism will become established as a new nonindigenous species. This value is calculated by dividing the total number of ballast water invaders per year by the total number of organisms discharged from ballast. Analysis was done at the coast-wide scale for the Atlantic, Gulf, and Pacific coasts, as well as the Great Lakes, to reduce uncertainty due to secondary invasions between estuaries on a single coast. The PCIP metric is then used to predict the rate of new ballast-associated invasions given various regulatory scenarios. Depending upon the assumptions used in the risk analysis, this approach predicts that approximately one new species will invade every 10–100 years with the International Maritime Organization (IMO) discharge standard of <10 organisms with body size >50 μm per m<sup>3</sup> of ballast. This approach resolves many of the limitations associated with other methods of establishing ecologically sound discharge standards, and it allows policy makers to use risk-based methodologies to establish biologically defensible discharge standards.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1637.1","usgsCitation":"Reusser, D.A., Lee, H., Frazier, M., Ruiz, G., Fofonoff, P.W., Minton, M.S., and Miller, A.W., 2013, Per capita invasion probabilities: an empirical model to predict rates of invasion via ballast water: Ecological Applications, v. 23, no. 2, p. 321-330, https://doi.org/10.1890/11-1637.1.","productDescription":"10 p.","startPage":"321","endPage":"330","ipdsId":"IP-028025","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270319,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1637.1"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406dfe4b030c71ee0670f","contributors":{"authors":[{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":476605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frazier, Melanie","contributorId":59701,"corporation":false,"usgs":true,"family":"Frazier","given":"Melanie","affiliations":[],"preferred":false,"id":476606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruiz, Gregory M.","contributorId":71073,"corporation":false,"usgs":true,"family":"Ruiz","given":"Gregory M.","affiliations":[],"preferred":false,"id":476607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fofonoff, Paul W.","contributorId":21042,"corporation":false,"usgs":true,"family":"Fofonoff","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":476603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minton, Mark S.","contributorId":73896,"corporation":false,"usgs":true,"family":"Minton","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476608,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, A. Whitman","contributorId":39665,"corporation":false,"usgs":true,"family":"Miller","given":"A.","email":"","middleInitial":"Whitman","affiliations":[],"preferred":false,"id":476604,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045009,"text":"70045009 - 2013 - Counting at low concentrations: the statistical challenges of verifying ballast water discharge standards","interactions":[],"lastModifiedDate":"2013-03-27T12:16:12","indexId":"70045009","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Counting at low concentrations: the statistical challenges of verifying ballast water discharge standards","docAbstract":"Discharge from the ballast tanks of ships is one of the primary vectors of nonindigenous species in marine environments. To mitigate this environmental and economic threat, international, national, and state entities are establishing regulations to limit the concentration of living organisms that may be discharged from the ballast tanks of ships. The proposed discharge standards have ranged from zero detectable organisms to <10 organisms/m<sup>3</sup>. If standard sampling methods are used, verifying whether ballast discharge complies with these stringent standards will be challenging due to the inherent stochasticity of sampling. Furthermore, at low concentrations, very large volumes of water must be sampled to find enough organisms to accurately estimate concentration. Despite these challenges, adequate sampling protocols comprise a critical aspect of establishing standards because they help define the actual risk level associated with a standard. A standard that appears very stringent may be effectively lax if it is paired with an inadequate sampling protocol. We describe some of the statistical issues associated with sampling at low concentrations to help regulators understand the uncertainties of sampling as well as to inform the development of sampling protocols that ensure discharge standards are adequately implemented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1639.1","usgsCitation":"Frazier, M., Miller, A.W., Lee, H., and Reusser, D.A., 2013, Counting at low concentrations: the statistical challenges of verifying ballast water discharge standards: Ecological Applications, v. 23, no. 2, p. 339-351, https://doi.org/10.1890/11-1639.1.","productDescription":"13 p.","startPage":"339","endPage":"351","ipdsId":"IP-026931","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270315,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1639.1"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406d9e4b030c71ee06707","contributors":{"authors":[{"text":"Frazier, Melanie","contributorId":59701,"corporation":false,"usgs":true,"family":"Frazier","given":"Melanie","affiliations":[],"preferred":false,"id":476615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, A. Whitman","contributorId":39665,"corporation":false,"usgs":true,"family":"Miller","given":"A.","email":"","middleInitial":"Whitman","affiliations":[],"preferred":false,"id":476613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":476614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476612,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045015,"text":"70045015 - 2013 - Approaches to setting organism-based ballast water discharge standards","interactions":[],"lastModifiedDate":"2013-03-27T12:11:39","indexId":"70045015","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Approaches to setting organism-based ballast water discharge standards","docAbstract":"As a vector by which foreign species invade coastal and freshwater waterbodies, ballast water discharge from ships is recognized as a major environmental threat. The International Maritime Organization (IMO) drafted an international treaty establishing ballast water discharge standards based on the number of viable organisms per volume of ballast discharge for different organism size classes. Concerns that the IMO standards are not sufficiently protective have initiated several state and national efforts in the United States to develop more stringent standards. We evaluated seven approaches to establishing discharge standards for the >50-μm size class: (1) expert opinion/management consensus, (2) zero detectable living organisms, (3) natural invasion rates, (4) reaction–diffusion models, (5) population viability analysis (PVA) models, (6) per capita invasion probabilities (PCIP), and (7) experimental studies. Because of the difficulty in synthesizing scientific knowledge in an unbiased and transparent fashion, we recommend the use of quantitative models instead of expert opinion. The actual organism concentration associated with a “zero detectable organisms” standard is defined by the statistical rigor of its monitoring program; thus it is not clear whether such a standard is as stringent as other standards. For several reasons, the natural invasion rate, reaction–diffusion, and experimental approaches are not considered suitable for generating discharge standards. PVA models can be used to predict the likelihood of establishment of introduced species but are limited by a lack of population vital rates for species characteristic of ballast water discharges. Until such rates become available, PVA models are better suited to evaluate relative efficiency of proposed standards rather than predicting probabilities of invasion. The PCIP approach, which is based on historical invasion rates at a regional scale, appears to circumvent many of the indicated problems, although it may underestimate invasions by asexual and parthenogenic species. Further research is needed to better define propagule dose–responses, densities at which Allee effects occur, approaches to predicting the likelihood of invasion from multi-species introductions, and generation of formal comparisons of approaches using standardized scenarios.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1638.1","usgsCitation":"Lee, H., Reusser, D.A., and Frazier, M., 2013, Approaches to setting organism-based ballast water discharge standards: Ecological Applications, v. 23, no. 2, p. 301-310, https://doi.org/10.1890/11-1638.1.","productDescription":"10 p.","startPage":"301","endPage":"310","ipdsId":"IP-030188","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270313,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1638.1"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406cfe4b030c71ee06703","contributors":{"authors":[{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":476622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frazier, Melanie","contributorId":59701,"corporation":false,"usgs":true,"family":"Frazier","given":"Melanie","affiliations":[],"preferred":false,"id":476623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045006,"text":"70045006 - 2013 - Rapid microsatellite marker development using next generation pyrosequencing to inform invasive Burmese python -- Python molurus bivittatus -- management","interactions":[],"lastModifiedDate":"2013-03-27T12:42:45","indexId":"70045006","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2059,"text":"International Journal of Molecular Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rapid microsatellite marker development using next generation pyrosequencing to inform invasive Burmese python -- Python molurus bivittatus -- management","docAbstract":"Invasive species represent an increasing threat to native ecosystems, harming indigenous taxa through predation, habitat modification, cross-species hybridization and alteration of ecosystem processes. Additionally, high economic costs are associated with environmental damage, restoration and control measures. The Burmese python, Python molurus bivittatus, is one of the most notable invasive species in the US, due to the threat it poses to imperiled species and the Greater Everglades ecosystem. To address population structure and relatedness, next generation sequencing was used to rapidly produce species-specific microsatellite loci. The Roche 454 GS-FLX Titanium platform provided 6616 di-, tri- and tetra-nucleotide repeats in 117,516 sequences. Using stringent criteria, 24 of 26 selected tri- and tetra-nucleotide loci were polymerase chain reaction (PCR) amplified and 18 were polymorphic. An additional six cross-species loci were amplified, and the resulting 24 loci were incorporated into eight PCR multiplexes. Multi-locus genotypes yielded an average of 61% (39%–77%) heterozygosity and 3.7 (2–6) alleles per locus. Population-level studies using the developed microsatellites will track the invasion front and monitor population-suppression dynamics. Additionally, cross-species amplification was detected in the invasive Ball, P. regius, and Northern African python, P. sebae. These markers can be used to address the hybridization potential of Burmese pythons and the larger, more aggressive P. sebae.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Molecular Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI Publishing (Multidisciplinary Digital Publishing Institute)","publisherLocation":"Basel, Switzerland","doi":"10.3390/ijms14034793","usgsCitation":"Hunter, M., and Hart, K.M., 2013, Rapid microsatellite marker development using next generation pyrosequencing to inform invasive Burmese python -- Python molurus bivittatus -- management: International Journal of Molecular Sciences, v. 14, no. 3, p. 4793-4804, https://doi.org/10.3390/ijms14034793.","productDescription":"12 p.","startPage":"4793","endPage":"4804","ipdsId":"IP-041345","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijms14034793","text":"Publisher Index Page"},{"id":270322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270321,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/ijms14034793"},{"id":270323,"type":{"id":11,"text":"Document"},"url":"https://www.mdpi.com/1422-0067/14/3/4793/pdf"},{"id":270324,"type":{"id":7,"text":"Companion Files"},"url":"https://www.mdpi.com/1422-0067/14/3/4793/s1"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.0,24.85 ], [ -82.0,27.3 ], [ -80.0,27.3 ], [ -80.0,24.85 ], [ -82.0,24.85 ] ] ] } } ] }","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-28","publicationStatus":"PW","scienceBaseUri":"515406e0e4b030c71ee06713","contributors":{"authors":[{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":476601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":476600,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045012,"text":"fs20123136 - 2013 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment","interactions":[{"subject":{"id":70045012,"text":"fs20123136 - 2013 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment","indexId":"fs20123136","publicationYear":"2013","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment"},"predicate":"SUPERSEDED_BY","object":{"id":70252088,"text":"fs20243002 - 2024 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","indexId":"fs20243002","publicationYear":"2024","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment"},"id":1}],"supersededBy":{"id":70252088,"text":"fs20243002 - 2024 - California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment","indexId":"fs20243002","publicationYear":"2024","noYear":false,"title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project: Domestic-Supply Assessment"},"lastModifiedDate":"2024-03-14T18:22:18.787833","indexId":"fs20123136","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":"2012-3136","title":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project--shallow aquifer assessment","docAbstract":"The California State Water Resources Control Board’s (SWRCB) GAMA Program is a comprehensive assessment of statewide groundwater quality in California. From 2004 to 2012, the GAMA Program’s Priority Basin Project focused on assessing groundwater resources used for public drinking-water supplies. More than 2,000 public-supply wells were sampled by U.S. Geological Survey (USGS) for this effort. Starting in 2012, the GAMA Priority Basin Project began an assessment of water resources in shallow aquifers in California. These shallow aquifers provide water for domestic and small community-supply wells, which are often drilled to shallower depths in the groundwater system than public-supply wells. Shallow aquifers are of interest because shallow groundwater may respond more quickly and be more susceptible to contamination from human activities at the land surface, than the deeper aquifers. The SWRCB’s GAMA Program was developed in response to the Groundwater Quality Monitoring Act of 2001 (Water Code sections 10780-10782.3): a public mandate to assess and monitor the quality of groundwater resources used for drinking-water supplies, and to increase the availability of information about groundwater quality to the public. The U.S. Geological Survey is the technical lead of the Priority Basin Project.\n\nStewardship of California’s groundwater resources is a responsibility shared between well owners, communities, and the State. Participants and collaborators in the GAMA Program include Regional Water Quality Control Boards, Department of Water Resources, Department of Public Health, local and regional groundwater management entities, county and local water agencies, community groups, and private citizens. Well-owner participation in the GAMA Program is entirely voluntary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123136","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"U.S. Geological Survey, 2018, California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project—Shallow aquifer assessment (ver. 1.1, September 2018): U.S. Geological Survey Fact Sheet 2012–3136, 2 p.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357265,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2012/3136/pdf/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Fact Sheet 2012-3136"},{"id":270226,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":270224,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3136/"},{"id":270225,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3136/pdf/fs20123136_v1.1.pdf","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2012-3136"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","edition":"Ver. 1.1: Sept. 2018; Ver. 1.0: March 2013","publishedDate":"2013-03-26","revisedDate":"2018-09-14","noUsgsAuthors":false,"publicationDate":"2013-03-26","publicationStatus":"PW","scienceBaseUri":"5152b561e4b01197b08e9bdd","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535460,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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 &deg;C) and an unusually high boiling point (~2,204 &deg;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":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":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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","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":70045002,"text":"fs20133017 - 2013 - Trends and causes of historical wetland loss in coastal Louisiana","interactions":[],"lastModifiedDate":"2013-03-26T13:23:54","indexId":"fs20133017","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":"2013-3017","title":"Trends and causes of historical wetland loss in coastal Louisiana","docAbstract":"Wetland losses in the northern Gulf Coast region of the United States are so extensive that they represent critical concerns to government environmental agencies and natural resource managers. In Louisiana, almost 3,000 square kilometers (km<sup>2</sup>) of low-lying wetlands converted to open water between 1956 and 2004, and billions of dollars in State and Federal funding have been allocated for coastal restoration projects intended to compensate for some of those wetland losses. Recent research at the St. Petersburg Coastal and Marine Science Center (SPCMSC) focused on understanding the physical processes and human activities that contributed to historical wetland loss in coastal Louisiana and the spatial and temporal trends of that loss.\n\nThe physical processes (land-surface subsidence and sediment erosion) responsible for historical wetland loss were quantified by comparing marsh-surface elevations, water depths, and vertical displacements of stratigraphic contacts at 10 study areas in the Mississippi River delta plain and 6 sites at Sabine National Wildlife Refuge (SNWR) in the western chenier plain. The timing and extent of land loss at the study areas was determined by comparing historical maps, aerial photographs, and satellite imagery; the temporal and spatial trends of those losses were compared with historical subsidence rates and hydrocarbon production trends.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133017","usgsCitation":"Bernier, J., 2013, Trends and causes of historical wetland loss in coastal Louisiana: U.S. Geological Survey Fact Sheet 2013-3017, 4 p., https://doi.org/10.3133/fs20133017.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":270137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133017.gif"},{"id":270135,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3017/"},{"id":270136,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3017/pdf/fs2013-3017.pdf"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,33.0195 ], [ -88.8162,33.0195 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152b565e4b01197b08e9bf1","contributors":{"authors":[{"text":"Bernier, Julie","contributorId":36435,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","affiliations":[],"preferred":false,"id":476590,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"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":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":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":70043512,"text":"70043512 - 2013 - Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems","interactions":[],"lastModifiedDate":"2013-03-25T11:39:38","indexId":"70043512","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems","docAbstract":"Inhibition of bacterial oxidation of ferrous iron (Fe(II)) by Pb(NO<sub>3</sub>)<sub>2</sub> was investigated with a mixed culture of Acidithiobacillus ferrooxidans. The culture was incubated at 30 °C in ferrous-sulfate medium amended with 0–24.2 mM Pb(II) added as Pb(NO<sub>3</sub>)<sub>2</sub>. Anglesite (PbSO<sub>4</sub>) precipitated immediately upon Pb addition and was the only solid phase detected in the abiotic controls. Both anglesite and jarosite (KFe<sub>3</sub>(SO<sub>4</sub>)<sub>2</sub>(OH)<sub>6</sub>) were detected in inoculated cultures. Precipitation of anglesite maintained dissolved Pb concentrations at 16.9–17.6 μM regardless of the concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> added. Fe(II) oxidation was suppressed by 24.2 mM Pb(NO<sub>3</sub>)<sub>2</sub> addition even when anglesite was removed before inoculation. Experiments with 0–48 mM KNO<sub>3</sub> demonstrated that bacterial Fe(II) oxidation decreased as nitrate concentration increased. Therefore, inhibition of Fe(II) oxidation at 24.2 mM Pb(NO<sub>3</sub>)<sub>2</sub> addition resulted from nitrate toxicity instead of Pb addition. Geochemical modeling that considered the initial precipitation of anglesite to equilibrium followed by progressive oxidation of Fe(II) and the precipitation of jarosite and an amorphous iron hydroxide phase, without allowing plumbojarosite to precipitate were consistent with the experimental time-series data on Fe(II) oxidation under biotic conditions. Anglesite precipitation in mine tailings and other sulfate-rich systems maintains dissolved Pb concentrations below the toxicity threshold of A. ferrooxidans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hazardous Materials","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhazmat.2012.11.004","usgsCitation":"Wang, H., Gong, L., Cravotta, C.A., Yang, X., Tuovinen, O.H., Dong, H., and Fu, X., 2013, Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems: Journal of Hazardous Materials, v. 244-245, p. 718-725, https://doi.org/10.1016/j.jhazmat.2012.11.004.","productDescription":"8 p.","startPage":"718","endPage":"725","ipdsId":"IP-041560","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":269991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269990,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhazmat.2012.11.004"}],"volume":"244-245","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e4e4b087909f0bbe47","contributors":{"authors":[{"text":"Wang, Hongmei","contributorId":47663,"corporation":false,"usgs":true,"family":"Wang","given":"Hongmei","affiliations":[],"preferred":false,"id":473743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gong, Linfeng","contributorId":52467,"corporation":false,"usgs":true,"family":"Gong","given":"Linfeng","email":"","affiliations":[],"preferred":false,"id":473745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":473740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Xiaofen","contributorId":27333,"corporation":false,"usgs":true,"family":"Yang","given":"Xiaofen","email":"","affiliations":[],"preferred":false,"id":473742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tuovinen, Olli H.","contributorId":101165,"corporation":false,"usgs":true,"family":"Tuovinen","given":"Olli","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":473746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dong, Hailiang","contributorId":50802,"corporation":false,"usgs":false,"family":"Dong","given":"Hailiang","affiliations":[{"id":36002,"text":"State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":473744,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fu, Xiang","contributorId":25429,"corporation":false,"usgs":true,"family":"Fu","given":"Xiang","email":"","affiliations":[],"preferred":false,"id":473741,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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":70042980,"text":"70042980 - 2013 - Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA","interactions":[],"lastModifiedDate":"2013-04-20T20:21:43","indexId":"70042980","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA","docAbstract":"Tidal-signal attenuations are analyzed to compute hydraulic diffusivities and estimate regional hydraulic conductivities of the Northern Guam Lens Aquifer, Territory of Guam (Pacific Ocean), USA. The results indicate a significant tidal-damping effect at the coastal boundary. Hydraulic diffusivities computed using a simple analytical solution for well responses to tidal forcings near the periphery of the island are two orders of magnitude lower than for wells in the island’s interior. Based on assigned specific yields of ~0.01–0.4, estimated hydraulic conductivities are ~20–800 m/day for peripheral wells, and ~2,000–90,000 m/day for interior wells. The lower conductivity of the peripheral rocks relative to the interior rocks may best be explained by the effects of karst evolution: (1) dissolutional enhancement of horizontal hydraulic conductivity in the interior; (2) case-hardening and concurrent reduction of local hydraulic conductivity in the cliffs and steeply inclined rocks of the periphery; and (3) the stronger influence of higher-conductivity regional-scale features in the interior relative to the periphery. A simple numerical model calibrated with measured water levels and tidal response estimates values for hydraulic conductivity and storage parameters consistent with the analytical solution. The study demonstrates how simple techniques can be useful for characterizing regional aquifer properties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"http://www.springer.com","doi":"10.1007/s10040-012-0949-9","usgsCitation":"Rotzoll, K., Gingerich, S.B., Jenson, J.W., and El-Kadi, A.I., 2013, Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA: Hydrogeology Journal, v. 21, no. 3, p. 643-654, https://doi.org/10.1007/s10040-012-0949-9.","productDescription":"12 p.","startPage":"643","endPage":"654","ipdsId":"IP-038920","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":270019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270018,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-012-0949-9"}],"country":"Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.618381,13.246191 ], [ 144.618381,13.654225 ], [ 144.956536,13.654225 ], [ 144.956536,13.246191 ], [ 144.618381,13.246191 ] ] ] } } ] }","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-15","publicationStatus":"PW","scienceBaseUri":"515163dee4b087909f0bbe33","contributors":{"authors":[{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenson, John W.","contributorId":23112,"corporation":false,"usgs":true,"family":"Jenson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":472726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I.","contributorId":41702,"corporation":false,"usgs":true,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":472727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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. 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,{"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":70043578,"text":"70043578 - 2013 - Polyphasic characterization of Aeromonas salmonicida isolates recovered from salmonid and non-salmonid fish","interactions":[],"lastModifiedDate":"2013-10-23T08:58:15","indexId":"70043578","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Polyphasic characterization of Aeromonas salmonicida isolates recovered from salmonid and non-salmonid fish","docAbstract":"Michigan's fisheries rely primarily upon the hatchery propagation of salmonid fish for release in public waters. One limitation on the success of these efforts is the presence of bacterial pathogens, including Aeromonas salmonicida, the causative agent of furunculosis. This study was undertaken to determine the prevalence of A. salmonicida in Michigan fish, as well as to determine whether biochemical or gene sequence variability exists among Michigan isolates. A total of 2202 wild, feral and hatchery-propagated fish from Michigan were examined for the presence of A. salmonicida. The examined fish included Chinook salmon, Oncorhynchus tshawytscha (Walbaum), coho salmon, O. kisutcha (Walbaum), steelhead trout, O. mykiss (Walbaum), Atlantic salmon, Salmo salar L., brook trout, Salvelinus fontinalis (Mitchill), and yellow perch, Perca flavescens (Mitchill). Among these, 234 fish yielded a brown pigment-producing bacterium that was presumptively identified as A. salmonicida. Further phenotypic and phylogenetic analyses identified representative isolates as Aeromonas salmonicida subsp. salmonicida and revealed some genetic and biochemical variability. Logistic regression analyses showed that infection prevalence varied according to fish species/strain, year and gender, whereby Chinook salmon and females had the highest infection prevalence. Moreover, this pathogen was found in six fish species from eight sites, demonstrating its widespread nature within Michigan.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/jfd.12092","usgsCitation":"Diamanka, A., Loch, T., Cipriano, R.C., and Faisal, M., 2013, Polyphasic characterization of Aeromonas salmonicida isolates recovered from salmonid and non-salmonid fish: Journal of Fish Diseases, v. 36, no. 11, p. 949-963, https://doi.org/10.1111/jfd.12092.","productDescription":"15 p.","startPage":"949","endPage":"963","ipdsId":"IP-043701","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270013,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jfd.12092"}],"volume":"36","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"515163e7e4b087909f0bbe53","contributors":{"authors":[{"text":"Diamanka, A.","contributorId":80154,"corporation":false,"usgs":true,"family":"Diamanka","given":"A.","affiliations":[],"preferred":false,"id":473880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loch, T.P.","contributorId":93358,"corporation":false,"usgs":true,"family":"Loch","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":473881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cipriano, R. C.","contributorId":12400,"corporation":false,"usgs":true,"family":"Cipriano","given":"R.","middleInitial":"C.","affiliations":[],"preferred":false,"id":473878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faisal, M.","contributorId":19116,"corporation":false,"usgs":true,"family":"Faisal","given":"M.","affiliations":[],"preferred":false,"id":473879,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":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":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}]}}
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