{"pageNumber":"768","pageRowStart":"19175","pageSize":"25","recordCount":46689,"records":[{"id":97488,"text":"ofr20091075 - 2009 - Abundance Trends and Status of the Little Colorado River Population of Humpback Chub: An Update Considering Data From 1989-2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"ofr20091075","displayToPublicDate":"2009-05-09T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1075","title":"Abundance Trends and Status of the Little Colorado River Population of Humpback Chub: An Update Considering Data From 1989-2008","docAbstract":"Mark-recapture methods have been used for the past two decades to assess trends in adult abundance and recruitment of the Little Colorado River (LCR) population of humpback chub. These methods indicate that the adult population declined through the 1980s and early 1990s but has been increasing for the past decade. Recruitment appears also to have increased, particularly in the 2003-4 period. Considering a range of assumed natural mortality-rates and magnitude of ageing error, it is unlikely that there are currently less than 6,000 adults or more than 10,000 adults. Our best estimate of the current adult (age 4 years or more) population is approximately 7,650 fish. \r\n\r\nRecent humpback chub assessments using the Age-Structured Mark-Recapture model (ASMR) and reported in 2006 (Melis and others, 2006) and 2008 (Coggins, 2008a,b) have provided abundance and recruitment trend estimates that have changed progressively over time as more data are considered by the model. The general pattern of change implies a less severe decline in adult abundance during the late 1980s through early 1990s, with attendant changes in recruitment supporting this demographic pattern. We have been concerned that these changes are not indicative of the true population and may be associated with a 'retrospective' bias as additional data are included in the ASMR model. To investigate this possibility, we developed a realistic individual-based simulation model (IBM) to generate replicate artificial data sets with similar characteristics to the true humpback chub data. The artificial data have known abundance trends and we analyzed these data with ASMR. On the basis of these simulations, we believe that errors in assigning age (and therefore brood-year) to fish based on their length are likely to have caused the retrospective bias pattern seen in the assessments and to have caused both less severe trends in the adult abundance estimates and progressively more severe downward bias in estimates of adult mortality-rates. This 'smearing', or assignment of fish from a single brood-year into multiple incorrect brood-years, is a result of variation in growth rates. The IBM simulations indicate that as a result of this error source, the best estimates of abundance and recruitment for any calendar year are those obtained from data collected previous to and within a year or two after each calendar year.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091075","collaboration":"The science provider to the Glen Canyon Dam Adaptive Management Program","usgsCitation":"Coggins, and Walters, C.J., 2009, Abundance Trends and Status of the Little Colorado River Population of Humpback Chub: An Update Considering Data From 1989-2008 (Version 1.0 ): U.S. Geological Survey Open-File Report 2009-1075, iv, 18 p., https://doi.org/10.3133/ofr20091075.","productDescription":"iv, 18 p.","onlineOnly":"Y","temporalStart":"1989-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":195433,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12635,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1075/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.83333333333333,35 ], [ -114.83333333333333,37.833333333333336 ], [ -110.83333333333333,37.833333333333336 ], [ -110.83333333333333,35 ], [ -114.83333333333333,35 ] ] ] } } ] }","edition":"Version 1.0 ","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a37de","contributors":{"authors":[{"text":"Coggins, Jr.","contributorId":54306,"corporation":false,"usgs":true,"family":"Coggins","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":302277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Carl J.","contributorId":25122,"corporation":false,"usgs":true,"family":"Walters","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":302276,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97499,"text":"ds406 - 2009 - EAARL Coastal Topography - St. John, U.S. Virgin Islands 2003: First Surface","interactions":[],"lastModifiedDate":"2023-04-21T11:16:38.466747","indexId":"ds406","displayToPublicDate":"2009-05-09T00:00:00","publicationYear":"2009","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":"406","title":"EAARL Coastal Topography - St. John, U.S. Virgin Islands 2003: First Surface","docAbstract":"

These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), South Florida-Caribbean Network, Miami, FL; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds406","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Patterson, M., Yates, X., and Bonisteel, J.M., 2009, EAARL Coastal Topography - St. John, U.S. Virgin Islands 2003: First Surface: U.S. Geological Survey Data Series 406, HTML Document, https://doi.org/10.3133/ds406.","productDescription":"HTML Document","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":197915,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":115725,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/406/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"U.S. Virgin Islands, St. John","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.81132644173451,\n 18.380026056899197\n ],\n [\n -64.81132644173451,\n 18.284904703191145\n ],\n [\n -64.6534658802415,\n 18.284904703191145\n ],\n [\n -64.6534658802415,\n 18.380026056899197\n ],\n [\n -64.81132644173451,\n 18.380026056899197\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a59e4b07f02db62fdfe","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patterson, Matt","contributorId":93982,"corporation":false,"usgs":true,"family":"Patterson","given":"Matt","email":"","affiliations":[],"preferred":false,"id":302318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":302317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302314,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":97498,"text":"sir20095047 - 2009 - Fish Communities and Habitat of Geomorphically Stable Reference Reaches in Streams of the Catskill Mountain Region, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20095047","displayToPublicDate":"2009-05-09T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5047","title":"Fish Communities and Habitat of Geomorphically Stable Reference Reaches in Streams of the Catskill Mountain Region, New York","docAbstract":"In 2002, the U.S. Geological Survey, in cooperation with the New York City Department of Environmental Protection, began a 5-year study to develop a database that documents the physical and biological characteristics of nine stable reference reaches from seven streams in the New York City West of Hudson Water Supply Watershed in the Catskill Mountain region of New York State. Primary objectives of this study were to (1) develop a reference-reach database of morphology, aquatic biology, and fluvial processes, and (2) summarize the relations between fish communities, aquatic habitat, and stable stream morphology in streams in the Catskill Mountain region. Secondary objectives included documenting year-to-year variability in fish populations and stream habitat in geomorphically stable streams and demonstrating how reliably Habitat Suitability Index models can be used to characterize habitat conditions and predict the presence and abundance of populations of trout species.\r\n\r\nFish and habitat databases were developed, and several important relations were identified. Fish-community indices differed considerably among sites where trout were present and where they were either absent or present in very low numbers; these differences were reflected in higher Habitat Suitability Index scores at trout-dominated sites. Several fish- community and habitat variables were found to be strongly associated with indices of stability and, therefore, determined to be useful tools for evaluating stream condition. Lastly, preliminary results suggest Rosgen stream type data can help refine fish and habitat relations and assist in our ability to predict habitat potential and fish-community composition.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095047","collaboration":"Prepared in cooperation with New York City Department of Environmental Protection","usgsCitation":"Mulvihill, C., Baldigo, B.P., and Ernst, A., 2009, Fish Communities and Habitat of Geomorphically Stable Reference Reaches in Streams of the Catskill Mountain Region, New York: U.S. Geological Survey Scientific Investigations Report 2009-5047, vi, 45 p., https://doi.org/10.3133/sir20095047.","productDescription":"vi, 45 p.","onlineOnly":"Y","temporalStart":"2002-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":195687,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12646,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5047/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76,41.5 ], [ -76,42.75 ], [ -73.5,42.75 ], [ -73.5,41.5 ], [ -76,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e499fe4b07f02db5bd052","contributors":{"authors":[{"text":"Mulvihill, Christiane I.","contributorId":31821,"corporation":false,"usgs":true,"family":"Mulvihill","given":"Christiane I.","affiliations":[],"preferred":false,"id":302311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ernst, Anne G.","contributorId":37825,"corporation":false,"usgs":true,"family":"Ernst","given":"Anne G.","affiliations":[],"preferred":false,"id":302312,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97484,"text":"sir20095029 - 2009 - Primary Productivity in Meduxnekeag River, Maine, 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095029","displayToPublicDate":"2009-05-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5029","title":"Primary Productivity in Meduxnekeag River, Maine, 2005","docAbstract":"During August and September 2005, dissolved oxygen, temperature, pH, specific conductance, streamflow, and light intensity (LI) were determined continuously at six sites defining five reaches on Meduxnekeag River above and below Houlton, Maine. These data were collected as input for a dual-station whole-stream metabolism model to evaluate primary productivity in the river above and below Houlton. The river receives nutrients and organic matter from tributaries and the Houlton wastewater treatment plant (WWTP). Model output estimated gross and net primary productivity for each reach. Gross primary productivity (GPP) varied in each reach but was similar and positive among the reaches. GPP was correlated to LI in the four reaches above the WWTP but not in the reach below. Net primary productivity (NPP) decreased in each successive downstream reach and was negative in the lowest two reaches. NPP was weakly related to LI in the upper two reaches and either not correlated or negatively correlated in the lower three reaches. Relations among GPP, NPP, and LI indicate that the system is heterotrophic in the downstream reaches. The almost linear decrease in NPP (the increase in metabolism and respiration) indicates a cumulative effect of inputs of nutrients and organic matter from tributaries that drain agricultural land, the town of Houlton, and the discharges from the WWTP.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095029","collaboration":"Prepared in cooperation with the Houlton Band of Maliseet Indians","usgsCitation":"Goldstein, R.M., Schalk, C.W., and Kempf, J.P., 2009, Primary Productivity in Meduxnekeag River, Maine, 2005: U.S. Geological Survey Scientific Investigations Report 2009-5029, iv, 17 p., https://doi.org/10.3133/sir20095029.","productDescription":"iv, 17 p.","onlineOnly":"Y","temporalStart":"2005-08-01","temporalEnd":"2005-09-30","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":195161,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12631,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5029/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9,46.083333333333336 ], [ -67.9,46.2 ], [ -67.76666666666667,46.2 ], [ -67.76666666666667,46.083333333333336 ], [ -67.9,46.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667d23","contributors":{"authors":[{"text":"Goldstein, Robert M.","contributorId":68267,"corporation":false,"usgs":true,"family":"Goldstein","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schalk, Charles W. cwschalk@usgs.gov","contributorId":1726,"corporation":false,"usgs":true,"family":"Schalk","given":"Charles","email":"cwschalk@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kempf, Joshua P.","contributorId":35834,"corporation":false,"usgs":true,"family":"Kempf","given":"Joshua","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":302268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97483,"text":"sir20095084 - 2009 - Baseline Channel Geometry and Aquatic Habitat Data for Selected Streams in the Matanuska-Susitna Valley, Alaska","interactions":[],"lastModifiedDate":"2018-05-06T10:51:36","indexId":"sir20095084","displayToPublicDate":"2009-05-06T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5084","title":"Baseline Channel Geometry and Aquatic Habitat Data for Selected Streams in the Matanuska-Susitna Valley, Alaska","docAbstract":"Small streams in the rapidly developing Matanuska-Susitna Valley in south-central Alaska are known to support anadromous and resident fish but little is known about their hydrologic and riparian conditions, or their sensitivity to the rapid development of the area or climate variability. To help address this need, channel geometry and aquatic habitat data were collected in 2005 as a baseline of stream conditions for selected streams. Three streams were selected as representative of various stream types, and one drainage network, the Big Lake drainage basin, was selected for a systematic assessment. Streams in the Big Lake basin were drawn in a Geographic Information System (GIS), and 55 reaches along 16 miles of Meadow Creek and its primary tributary Little Meadow Creek were identified from orthoimagery and field observations on the basis of distinctive physical and habitat parameters, most commonly gradient, substrate, and vegetation. Data-collection methods for sites at the three representative reaches and the 55 systematically studied reaches consisted of a field survey of channel and flood-plain geometry and collection of 14 habitat attributes using published protocols or slight modifications. Width/depth and entrenchment ratios along the Meadow-Little Meadow Creek corridor were large and highly variable upstream of Parks Highway and lower and more consistent downstream of Parks Highway. Channel width was strongly correlated with distance, increasing downstream in a log-linear relation. Runs formed the most common habitat type, and instream vegetation dominated the habitat cover types, which collectively covered 53 percent of the channel. Gravel suitable for spawning covered isolated areas along Meadow Creek and about 29 percent of Little Meadow Creek. Broad wetlands were common along both streams. For a comprehensive assessment of small streams in the Mat-Su Valley, critical additional data needs include hydrologic, geologic and geomorphic, and biologic data, in particular the contribution of ground water and lakes to streamflow, water quality, flood plain connectivity, and surficial geology. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095084","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Curran, J.H., and Rice, W.J., 2009, Baseline Channel Geometry and Aquatic Habitat Data for Selected Streams in the Matanuska-Susitna Valley, Alaska: U.S. Geological Survey Scientific Investigations Report 2009-5084, Report: vi, 25 p.; Appendix; Zip File, https://doi.org/10.3133/sir20095084.","productDescription":"Report: vi, 25 p.; Appendix; Zip File","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":124399,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5084.jpg"},{"id":12630,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5084/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.08333333333334,61.333333333333336 ], [ -150.08333333333334,61.833333333333336 ], [ -148.83333333333334,61.833333333333336 ], [ -148.83333333333334,61.333333333333336 ], [ -150.08333333333334,61.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648806","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":302265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, William J.","contributorId":24464,"corporation":false,"usgs":true,"family":"Rice","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":302266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156083,"text":"70156083 - 2009 - Vulnerability of carbon storage in North American boreal forests to wildfires during the 21st century","interactions":[],"lastModifiedDate":"2021-02-04T21:12:59.986279","indexId":"70156083","displayToPublicDate":"2009-05-04T11:15:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of carbon storage in North American boreal forests to wildfires during the 21st century","docAbstract":"
The boreal forest contains large reserves of carbon. Across this region, wildfires influence the temporal and spatial dynamics of carbon storage. In this study, we estimate fire emissions and changes in carbon storage for boreal North America over the 21st century. We use a gridded data set developed with a multivariate adaptive regression spline approach to determine how area burned varies each year with changing climatic and fuel moisture conditions. We apply the process‐based Terrestrial Ecosystem Model to evaluate the role of future fire on the carbon dynamics of boreal North America in the context of changing atmospheric carbon dioxide (CO2) concentration and climate in the A2 and B2 emissions scenarios of the CGCM2 global climate model. Relative to the last decade of the 20th century, decadal total carbon emissions from fire increase by 2.5–4.4 times by 2091–2100, depending on the climate scenario and assumptions about CO2 fertilization. Larger fire emissions occur with warmer climates or if CO2 fertilization is assumed to occur. Despite the increases in fire emissions, our simulations indicate that boreal North America will be a carbon sink over the 21st century if CO2 fertilization is assumed to occur in the future. In contrast, simulations excluding CO2 fertilization over the same period indicate that the region will change to a carbon source to the atmosphere, with the source being 2.1 times greater under the warmer A2 scenario than the B2 scenario. To improve estimates of wildfire on terrestrial carbon dynamics in boreal North America, future studies should incorporate the role of dynamic vegetation to represent more accurately post‐fire successional processes, incorporate fire severity parameters that change in time and space, account for human influences through increased fire suppression, and integrate the role of other disturbances and their interactions with future fire regime.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2009.01877.x","usgsCitation":"Balshi, M.S., McGuire, A., Duffy, P., Flannigan, M., Kicklighter, D., and Melillo, J., 2009, Vulnerability of carbon storage in North American boreal forests to wildfires during the 21st century: Global Change Biology, v. 15, no. 6, p. 1491-1510, https://doi.org/10.1111/j.1365-2486.2009.01877.x.","productDescription":"20 p.","startPage":"1491","endPage":"1510","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009717","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.32421875,\n 43.83452678223682\n ],\n [\n -63.10546874999999,\n 43.32517767999296\n ],\n [\n -51.328125,\n 47.635783590864854\n ],\n [\n -18.984375,\n 72.18180355624855\n ],\n [\n -10.37109375,\n 81.62135170283739\n ],\n [\n -30.05859375,\n 83.81102365639774\n ],\n [\n -54.31640625,\n 83.06877413473718\n ],\n [\n -77.6953125,\n 83.3391531415795\n ],\n [\n -132.5390625,\n 74.68325030051861\n ],\n [\n -136.0546875,\n 71.46912418989677\n ],\n [\n -150.46875,\n 71.46912418989677\n ],\n [\n -165.76171875,\n 71.30079291637452\n ],\n [\n -171.73828125,\n 63.470144746565424\n ],\n [\n -169.62890625,\n 52.5897007687178\n ],\n [\n -156.796875,\n 54.67383096593114\n ],\n [\n -147.12890625,\n 58.99531118795094\n ],\n [\n -137.98828125,\n 56.559482483762245\n ],\n [\n -131.484375,\n 51.508742458803326\n ],\n [\n -127.265625,\n 46.92025531537451\n ],\n [\n -67.32421875,\n 43.83452678223682\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Balshi, M. S.","contributorId":9469,"corporation":false,"usgs":false,"family":"Balshi","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":568428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Anthony ffadm@usgs.gov","contributorId":146428,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":567836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duffy, P.","contributorId":40435,"corporation":false,"usgs":false,"family":"Duffy","given":"P.","affiliations":[],"preferred":false,"id":568429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flannigan, M.","contributorId":62391,"corporation":false,"usgs":false,"family":"Flannigan","given":"M.","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":568430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kicklighter, D. W.","contributorId":31537,"corporation":false,"usgs":false,"family":"Kicklighter","given":"D. W.","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":568431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melillo, J.","contributorId":33081,"corporation":false,"usgs":false,"family":"Melillo","given":"J.","affiliations":[{"id":13206,"text":"Sea Education Association, Woods Hole, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":568432,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":97471,"text":"tm6A29 - 2009 - ModelMuse - A Graphical User Interface for MODFLOW-2005 and PHAST","interactions":[],"lastModifiedDate":"2021-11-09T15:25:31.411388","indexId":"tm6A29","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","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-A29","title":"ModelMuse - A Graphical User Interface for MODFLOW-2005 and PHAST","docAbstract":"ModelMuse is a graphical user interface (GUI) for the U.S. Geological Survey (USGS) models MODFLOW-2005 and PHAST. This software package provides a GUI for creating the flow and transport input file for PHAST and the input files for MODFLOW-2005. In ModelMuse, the spatial data for the model is independent of the grid, and the temporal data is independent of the stress periods. Being able to input these data independently allows the user to redefine the spatial and temporal discretization at will. This report describes the basic concepts required to work with ModelMuse. These basic concepts include the model grid, data sets, formulas, objects, the method used to assign values to data sets, and model features. \r\n\r\nThe ModelMuse main window has a top, front, and side view of the model that can be used for editing the model, and a 3-D view of the model that can be used to display properties of the model. ModelMuse has tools to generate and edit the model grid. It also has a variety of interpolation methods and geographic functions that can be used to help define the spatial variability of the model. ModelMuse can be used to execute both MODFLOW-2005 and PHAST and can also display the results of MODFLOW-2005 models. An example of using ModelMuse with MODFLOW-2005 is included in this report. Several additional examples are described in the help system for ModelMuse, which can be accessed from the Help menu.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 29 of Section A, Ground Water, Book 6, Modeling Techniques","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm6A29","usgsCitation":"Winston, R.B., 2009, ModelMuse - A Graphical User Interface for MODFLOW-2005 and PHAST: U.S. Geological Survey Techniques and Methods 6-A29, vii, 52 p., https://doi.org/10.3133/tm6A29.","productDescription":"vii, 52 p.","onlineOnly":"Y","ipdsId":"IP-028230","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":124847,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_a29.gif"},{"id":12615,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6A29/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61104e","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":302234,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97476,"text":"sir20095075 - 2009 - Streamflow Simulations and Percolation Estimates Using the Soil and Water Assessment Tool for Selected Basins in North-Central Nebraska, 1940-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20095075","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5075","title":"Streamflow Simulations and Percolation Estimates Using the Soil and Water Assessment Tool for Selected Basins in North-Central Nebraska, 1940-2005","docAbstract":"The U.S. Geological Survey, in cooperation with the Upper Elkhorn, Lower Elkhorn, Upper Loup, Lower Loup, Middle Niobrara, Lower Niobrara, Lewis and Clark, and Lower Platte North Natural Resources Districts, used the Soil and Water Assessment Tool to simulate streamflow and estimate percolation in north-central Nebraska to aid development of long-term strategies for management of hydrologically connected ground and surface water. Although groundwater models adequately simulate subsurface hydrologic processes, they often are not designed to simulate the hydrologically complex processes occurring at or near the land surface. The use of watershed models such as the Soil and Water Assessment Tool, which are designed specifically to simulate surface and near-subsurface processes, can provide helpful insight into the effects of surface-water hydrology on the groundwater system. The Soil and Water Assessment Tool was calibrated for five stream basins in the Elkhorn-Loup Groundwater Model study area in north-central Nebraska to obtain spatially variable estimates of percolation.\r\n\r\nSix watershed models were calibrated to recorded streamflow in each subbasin by modifying the adjustment parameters. The calibrated parameter sets were then used to simulate a validation period; the validation period was half of the total streamflow period of record with a minimum requirement of 10 years. If the statistical and water-balance results for the validation period were similar to those for the calibration period, a model was considered satisfactory. Statistical measures of each watershed model's performance were variable. These objective measures included the Nash-Sutcliffe measure of efficiency, the ratio of the root-mean-square error to the standard deviation of the measured data, and an estimate of bias. The model met performance criteria for the bias statistic, but failed to meet statistical adequacy criteria for the other two performance measures when evaluated at a monthly time step. A primary cause of the poor model validation results was the inability of the model to reproduce the sustained base flow and streamflow response to precipitation that was observed in the Sand Hills region.\r\n\r\nThe watershed models also were evaluated based on how well they conformed to the annual mass balance (precipitation equals the sum of evapotranspiration, streamflow/runoff, and deep percolation). The model was able to adequately simulate annual values of evapotranspiration, runoff, and precipitation in comparison to reported values, which indicates the model may provide reasonable estimates of annual percolation. Mean annual percolation estimated by the model as basin averages varied within the study area from a maximum of 12.9 inches in the Loup River Basin to a minimum of 1.5 inches in the Shell Creek Basin. Percolation also varied within the studied basins; basin headwaters tended to have greater percolation rates than downstream areas. This variance in percolation rates was mainly was because of the predominance of sandy, highly permeable soils in the upstream areas of the modeled basins.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095075","collaboration":"Prepared in cooperation with the Upper Elkhorn, Lower Elkhorn, Upper Loup, Lower Loup, Middle Niobrara, Lower Niobrara, Lewis and Clark, and Lower Platte North Natural Resources Districts","usgsCitation":"Strauch, K.R., and Linard, J.I., 2009, Streamflow Simulations and Percolation Estimates Using the Soil and Water Assessment Tool for Selected Basins in North-Central Nebraska, 1940-2005: U.S. Geological Survey Scientific Investigations Report 2009-5075, iv, 20 p., https://doi.org/10.3133/sir20095075.","productDescription":"iv, 20 p.","temporalStart":"1940-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":124575,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5075.jpg"},{"id":12621,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5075/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105,39.5 ], [ -105,43.25 ], [ -94.75,43.25 ], [ -94.75,39.5 ], [ -105,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b27e4b07f02db6b0682","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97477,"text":"ofr20081348 - 2009 - Benthic foraminiferal census data from Louisiana continental shelf cores, Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-12-06T15:46:10.840332","indexId":"ofr20081348","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","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":"2008-1348","title":"Benthic foraminiferal census data from Louisiana continental shelf cores, Gulf of Mexico","docAbstract":"

An area of oxygen-depleted bottom- and subsurface-water (hypoxia = dissolved oxygen < 2 mg/L-1) occurs seasonally on the Louisiana Shelf near the Mississippi River. The area of hypoxia, also known as the “dead zone,” forms when spring and early summer freshwater flow from the Mississippi River supplies a large amount of nutrients to the shelf while creating a freshwater lens, or cap, above the shelf water. The excess nutrients cause phytoplankton blooms in the shallow shelf water. After the bloom ceases, the organic material sinks in the water column and uses up oxygen during decomposition. Thus, the subsurface waters become oxygen depleted. The seasonal dead zone exists until a reduction in freshwater flow, or overturning by storms, allows mixing of the water column to restore normal oxygen conditions (Rabalais and others, 1994, 1996; Rabalais, 2002).

Since systematic measurement of the extent of the dead zone began in 1985, the overall pattern indicates that the area of the dead zone is increasing (Rabalais and Turner, 2001; Turner and others, 2005). Several studies have concluded that the expansion of the Louisiana Shelf dead zone is related to increased nutrients (primarily nitrogen, but possibly also phosphorous) in the Mississippi River drainage basin and is responsible for the degradation of Gulf of Mexico marine habitats (Goolsby and others, 2001). This paper presents the benthic foraminiferal data from 10 sediment cores collected from the Continental Shelf of Louisiana (table 1), obtained as part of an initiative to investigate the geographic and temporal extent of hypoxia prior to 1985 in the Gulf of Mexico.

Benthic foraminifers provide a method to track the development of hypoxia prior to 1985 (Blackwelder and others, 1996; Sen Gupta and others, 1996). Previous work (Osterman, 2003) has shown statistically that the relative occurrence of three low-oxygen-tolerant species represents the modern seasonal Louisiana hypoxia zone. The cumulative percentage of these three species (% Pseudononion atlanticum + % Epistominella vitrea, + % Buliminella morgani = PEB index of hypoxia) provides a way to investigate fluctuation in paleohypoxia. Interpretation of some of these cores is provided in Osterman and others (2005), Osterman and others (2008a,b), and Swarzenski and others (2008). Our hypothesis is that the increased relative abundance of PEB species in dated sediment cores accurately tracks past seasonal low-oxygen conditions on the Louisiana Shelf.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081348","usgsCitation":"Osterman, L.E., Kelly, W.S., and Ricardo, J.P., 2009, Benthic foraminiferal census data from Louisiana continental shelf cores, Gulf of Mexico: U.S. Geological Survey Open-File Report 2008-1348, iv, 16 p., https://doi.org/10.3133/ofr20081348.","productDescription":"iv, 16 p.","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":12622,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1348/","linkFileType":{"id":5,"text":"html"}},{"id":198111,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,28 ], [ -94,30 ], [ -89,30 ], [ -89,28 ], [ -94,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b5f8","contributors":{"authors":[{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":302247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Wendy S.","contributorId":22465,"corporation":false,"usgs":true,"family":"Kelly","given":"Wendy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":302248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricardo, John P.","contributorId":73307,"corporation":false,"usgs":true,"family":"Ricardo","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":302249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97473,"text":"ds433 - 2009 - Selected Geochemical Data for Modeling Near-Surface Processes in Mineral Systems","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"ds433","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","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":"433","title":"Selected Geochemical Data for Modeling Near-Surface Processes in Mineral Systems","docAbstract":"The database herein was initiated, designed, and populated to collect and integrate geochemical, geologic, and mineral deposit data in an organized manner to facilitate geoenvironmental mineral deposit modeling. The Microsoft Access database contains data on a variety of mineral deposit types that have variable environmental effects when exposed at the ground surface by mining or natural processes. The data tables describe quantitative and qualitative geochemical analyses determined by 134 analytical laboratory and field methods for over 11,000 heavy-mineral concentrate, rock, sediment, soil, vegetation, and water samples. The database also provides geographic information on geology, climate, ecoregion, and site contamination levels for over 3,000 field sites in North America.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds433","usgsCitation":"Giles, S.A., Granitto, M., and Eppinger, R.G., 2009, Selected Geochemical Data for Modeling Near-Surface Processes in Mineral Systems: U.S. Geological Survey Data Series 433, Available online and on CD-ROM, https://doi.org/10.3133/ds433.","productDescription":"Available online and on CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":12617,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/433/","linkFileType":{"id":5,"text":"html"}},{"id":198110,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -175,23 ], [ -175,67 ], [ -65,67 ], [ -65,23 ], [ -175,23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5bec","contributors":{"authors":[{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":302241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":302240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppinger, Robert G. eppinger@usgs.gov","contributorId":849,"corporation":false,"usgs":true,"family":"Eppinger","given":"Robert","email":"eppinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":302239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97478,"text":"ofr20081342 - 2009 - Examining Submarine Ground-Water Discharge into Florida Bay by using 222Rn and Continuous Resistivity Profiling","interactions":[],"lastModifiedDate":"2022-11-15T12:07:21.443041","indexId":"ofr20081342","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","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":"2008-1342","title":"Examining Submarine Ground-Water Discharge into Florida Bay by using 222Rn and Continuous Resistivity Profiling","docAbstract":"Estimates of submarine ground-water discharge (SGD) into Florida Bay remain one of the least understood components of a regional water balance. To quantify the magnitude and seasonality of SGD into upper Florida Bay, research activities included the use of the natural geochemical tracer, 222Rn, to examine potential SGD hotspots (222Rn surveys) and to quantify the total (saline + fresh water component) SGD rates at select sites (222Rn time-series). To obtain a synoptic map of the 222Rn distribution within our study site in Florida Bay, we set up a flow-through system on a small boat that consisted of a Differential Global Positioning System, a calibrated YSI, Inc CTD sensor with a sampling rate of 0.5 min, and a submersible pump (z = 0.5 m) that continuously fed water into an air/water exchanger that was plumbed simultaneously into four RAD7 222Rn air monitors. To obtain local advective ground-water flux estimates, 222Rn time-series experiments were deployed at strategic positions across hydrologic and geologic gradients within our study site. These time-series stations consisted of a submersible pump, a Solinist DIVER (to record continuous CTD parameters) and two RAD7 222Rn air monitors plumbed into an air/water exchanger. Repeat time-series 222Rn measurements were conducted for 3-4 days across several tidal excursions. Radon was also measured in the air during each sampling campaign by a dedicated RAD7. We obtained ground-water discharge information by calculating a 222Rn mass balance that accounted for lateral and horizontal exchange, as well as an appropriate ground-water 222Rn end member activity. \r\n\r\nAnother research component utilized marine continuous resistivity profiling (CRP) surveys to examine the subsurface salinity structure within Florida Bay sediments. This system consisted of an AGI SuperSting 8 channel receiver attached to a streamer cable that had two current (A,B) electrodes and nine potential electrodes that were spaced 10 m apart. A separate DGPS continuously sent position information to the SuperSting. \r\n\r\nResults indicate that the 222Rn maps provide a useful gauge of relative ground-water discharge into upper Florida Bay. The 222Rn time-series measurements provide a reasonable estimate of site- specific total (saline and fresh) ground-water discharge (mean = 12.5+-11.8 cm d-1), while the saline nature of the shallow ground-water at our study site, as evidenced by CPR results, indicates that most of this discharge must be recycled sea water. The CRP data show some interesting trends that appear to be consistent with subsurface geologic and hydrologic characterization. For example, some of the highest resistivity (electrical conductivity-1) values were recorded where one would expect a slight subsurface freshening (for example bayside Key Largo, or below the C111 canal).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081342","collaboration":"Prepared in cooperation with South Florida Water Management District","usgsCitation":"Swarzenski, P., Reich, C., and Rudnick, D., 2009, Examining Submarine Ground-Water Discharge into Florida Bay by using 222Rn and Continuous Resistivity Profiling (Version 1.0): U.S. Geological Survey Open-File Report 2008-1342, viii, 66 p., https://doi.org/10.3133/ofr20081342.","productDescription":"viii, 66 p.","onlineOnly":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":12623,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1342/","linkFileType":{"id":5,"text":"html"}},{"id":198163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.7,25 ], [ -80.7,25.3 ], [ -80.3,25.3 ], [ -80.3,25 ], [ -80.7,25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f96c5","contributors":{"authors":[{"text":"Swarzenski, Peter 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":99664,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","affiliations":[],"preferred":false,"id":302252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Chris","contributorId":27953,"corporation":false,"usgs":true,"family":"Reich","given":"Chris","affiliations":[],"preferred":false,"id":302251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudnick, David","contributorId":12590,"corporation":false,"usgs":true,"family":"Rudnick","given":"David","affiliations":[],"preferred":false,"id":302250,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97474,"text":"ds436 - 2009 - Oblique Aerial Photography of the Arctic Coast of Alaska, Nulavik to Demarcation Point, August 7-10, 2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"ds436","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","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":"436","title":"Oblique Aerial Photography of the Arctic Coast of Alaska, Nulavik to Demarcation Point, August 7-10, 2006","docAbstract":"The Arctic Coastal Plain of northern Alaska, an area of strategic economic importance to the United States, is home to remote Native American communities and encompasses unique habitats of global significance. Coastal erosion along the Arctic coast is chronic and widespread; recent evidence suggests that erosion rates are among the highest in the world (up to ~16 m/yr) and may be accelerating. Coastal erosion adversely impacts energy-related infrastructure, natural shoreline habitats, and Native American communities. Climate change is thought to be a key component of recent environmental changes in the Arctic. Reduced sea-ice cover in the Arctic Ocean is one of the probable mechanisms responsible for increasing coastal exposure to wave attack and the resulting increase in erosion. Extended periods of permafrost melting and associated decrease in bluff cohesion and stability are another possible source of the increase in erosion. \r\n\r\nSeveral studies of selected areas on the Alaska coast document past shoreline positions and coastal change, but none have examined the entire North coast systematically. Results from these studies indicate high rates of coastal retreat that vary spatially along the coast. To address the need for a comprehensive and regionally consistent evaluation of shoreline change along the North coast of Alaska, the U.S. Geological Survey (USGS), as part of their Coastal and Marine Geology Program's (CMGP) National Assessment of Shoreline Change Study, is evaluating shoreline change from Peard Bay to the United States/Canadian border, using historical maps and photography and a standardized methodology that is consistent with other shoreline-change studies along the Nation's coastlines (for example, URL http://coastal.er.usgs.gov/shoreline-change/ (last accessed March 2, 2009). \r\n\r\nThis report contains photographs collected during an aerial-reconnaissance survey conducted in support of this study. An accompanying ESRI ArcGIS shape file (and plain-text copy) indicates the position of the aircraft and time when each photograph was taken. The USGS-CMGP Field Activity ID for the survey is A-1-06-AK, and more information on the survey and how to view the photographs using Google Earth software is available online at: URL http://walrus.wr.usgs.gov/infobank/a/a106ak/html/a-1-06-ak.meta.html (last accessed March 2, 2009).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds436","usgsCitation":"Gibbs, A.E., and Richmond, B.M., 2009, Oblique Aerial Photography of the Arctic Coast of Alaska, Nulavik to Demarcation Point, August 7-10, 2006 (Version 1.0): U.S. Geological Survey Data Series 436, Report: 14 p.; Metadata; Zip Files, https://doi.org/10.3133/ds436.","productDescription":"Report: 14 p.; Metadata; Zip Files","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-08-07","temporalEnd":"2006-08-10","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":195406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12618,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/436/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -160,69 ], [ -160,72 ], [ -140,72 ], [ -140,69 ], [ -160,69 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a61ba","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":302243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":302242,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148674,"text":"70148674 - 2009 - Defining optimal freshwater flow for oyster production: effects of freshet rate and magnitude of change and duration on eastern oysters and Perkinsus marinus infection","interactions":[],"lastModifiedDate":"2015-06-19T10:01:59","indexId":"70148674","displayToPublicDate":"2009-05-01T11:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Defining optimal freshwater flow for oyster production: effects of freshet rate and magnitude of change and duration on eastern oysters and Perkinsus marinus infection","docAbstract":"

In coastal Louisiana, the development of large-scale freshwater diversion projects has led to controversy over their effects on oyster resources. Using controlled laboratory experiments in combination with a field study, we examined the effects of pulsed freshwater events (freshet) of different magnitude, duration, and rate of change on oyster resources. Laboratory and field evidence indicate that low salinity events (<5 psu) decreased Perkinsus marinus infection intensities. Furthermore, when salinity was low (<5 psu), parasite infection intensities continued to decrease even as temperatures exceeded 20°C. At the same time, oyster growth was positively correlated with salinity. To maximize oyster production, data indicate that both low and high salinity events will be necessary.

","language":"English","publisher":"Estuarine Research Federation","publisherLocation":"Port Republic, MD","doi":"10.1007/s12237-009-9149-9","collaboration":"National Sea Grant Gulf Oyster Industry Program LSU AgCenter","usgsCitation":"LaPeyre, M.K., Gossman, B., and La Peyre, J.F., 2009, Defining optimal freshwater flow for oyster production: effects of freshet rate and magnitude of change and duration on eastern oysters and Perkinsus marinus infection: Estuaries and Coasts, v. 32, no. 3, p. 522-534, https://doi.org/10.1007/s12237-009-9149-9.","productDescription":"13 p.","startPage":"522","endPage":"534","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007925","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2009-03-10","publicationStatus":"PW","scienceBaseUri":"55853d39e4b023124e8f5af9","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":548980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gossman, B.","contributorId":47163,"corporation":false,"usgs":true,"family":"Gossman","given":"B.","email":"","affiliations":[],"preferred":false,"id":548989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":548990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70209189,"text":"70209189 - 2009 - Seismic-wave strain, rotation, and gradiometry for the 4 March 2008 TAIGER explosions","interactions":[],"lastModifiedDate":"2020-03-23T08:56:27","indexId":"70209189","displayToPublicDate":"2009-05-01T08:50:56","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismic-wave strain, rotation, and gradiometry for the 4 March 2008 TAIGER explosions","docAbstract":"

Acceleration spatial gradients, horizontal strains, and horizontal rotation were computed using strong-motion array data from the 4 March 2008 TAIGER explosions in northeastern Taiwan and used in conjunction with the original three component acceleration data to perform a gradiometric analysis of the strong ground motion wave train. The analysis yields a complex, frequency-dependent view of the nature of seismic-wave propagation over short propagation distances that imply significant lateral velocity changes in structure. Areal strain and rotation about the vertical axis have equal amplitudes and suggest significant wave scattering within the confines of the river valley where the experiment was performed and/or significant departure from an axisymmetric explosion source. Gradiometry shows that the P wave arrives at the array 35° off-azimuth clockwise from the straight-line path and appears to have been refracted from the northern side of the valley. Large, slowly propagating secondary surface waves initially arrive 45° counterclockwise from the straight-line path but later arrivals are seen to propagate in all directions, including back toward the explosion source. A frequency-dependent radiation pattern for the triple-borehole explosion in comparison to the single-borehole explosion explains the differences in the maximum amplitudes between the sources seen in the acceleration data. The use of seismic strain and rotation with standard particle motion wave fields at a single location allows for a direct view of seismic-wave propagation that illuminates the true nature of the seismogram.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120080200","usgsCitation":"Langston, C.A., Lee, W., Lin, C., and Liu, C., 2009, Seismic-wave strain, rotation, and gradiometry for the 4 March 2008 TAIGER explosions: Bulletin of the Seismological Society of America, v. 99, no. 2B, p. 1287-1301, https://doi.org/10.1785/0120080200.","productDescription":"15 p.","startPage":"1287","endPage":"1301","costCenters":[],"links":[{"id":373434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Taiwan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[121.77782,24.39427],[121.17563,22.79086],[120.74708,21.97057],[120.22008,22.81486],[120.10619,23.55626],[120.69468,24.53845],[121.49504,25.29546],[121.95124,24.9976],[121.77782,24.39427]]]},\"properties\":{\"name\":\"Taiwan\"}}]}","volume":"99","issue":"2B","noUsgsAuthors":false,"publicationDate":"2009-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Langston, Charles A.","contributorId":52581,"corporation":false,"usgs":true,"family":"Langston","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":785299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, W.H.K.","contributorId":35303,"corporation":false,"usgs":true,"family":"Lee","given":"W.H.K.","affiliations":[],"preferred":false,"id":785300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, C.J.","contributorId":99385,"corporation":false,"usgs":true,"family":"Lin","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":785301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, C.-C.","contributorId":89662,"corporation":false,"usgs":true,"family":"Liu","given":"C.-C.","affiliations":[],"preferred":false,"id":785302,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97470,"text":"sir20095088 - 2009 - Iodine-129 in the Snake River Plain Aquifer at and Near the Idaho National Laboratory, Idaho, 2003 and 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"sir20095088","displayToPublicDate":"2009-05-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5088","title":"Iodine-129 in the Snake River Plain Aquifer at and Near the Idaho National Laboratory, Idaho, 2003 and 2007","docAbstract":"From 1953 to 1988, wastewater containing approximately 0.94 curies of iodine-129 (129I) was generated at the Idaho National Laboratory (INL) in southeastern Idaho. Almost all of this wastewater was discharged at or near the Idaho Nuclear Technology and Engineering Center (INTEC) on the INL site. Most of the wastewater was discharged directly into the eastern Snake River Plain aquifer through a deep disposal well until 1984; however, some wastewater also was discharged into unlined infiltration ponds or leaked from distribution systems below the INTEC.\r\n\r\nIn 2003, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, collected samples for 129I from 36 wells used to monitor the Snake River Plain aquifer, and from one well used to monitor a perched zone at the INTEC. Concentrations of 129I in the aquifer ranged from 0.0000066 +- 0.0000002 to 0.72 +- 0.051 picocuries per liter (pCi/L). Many wells within a 3-mile radius of the INTEC showed decreases of as much as one order of magnitude in concentration from samples collected during 1990-91, and all of the samples had concentrations less than the Environmental Protection Agency's Maximum Contaminant Level (MCL) of 1 pCi/L. The average concentration of 129I in 19 wells sampled during both collection periods decreased from 0.975 pCi/L in 1990-91 to 0.249 pCi/L in 2003. These decreases are attributed to the discontinuation of disposal of 129I in wastewater after 1988 and to dilution and dispersion in the aquifer.\r\n\r\nAlthough water from wells sampled in 2003 near the INTEC showed decreases in concentrations of 129I compared with data collected in 1990-91, some wells south and east of the Central Facilities Area, near the site boundary, and south of the INL showed slight increases. These slight increases may be related to variable discharge rates of wastewater that eventually moved to these well locations as a mass of water from a particular disposal period.\r\n\r\nIn 2007, the USGS collected samples for 129I from 36 wells that are used to monitor the aquifer south of INTEC and from 2 wells that are used to monitor perched zones at INTEC. Concentrations of 129I in the eastern Snake River Plain aquifer ranged from 0.000026 +- 0.000002 to 1.16 +- 0.04 pCi/L, and the concentration at one well exceeded the maximum contaminant level (1 pCi/L) for public drinking water supplies. The average concentration of 19 wells sampled in 2003 and 2007 did not differ; however, slight increases and decreases of concentrations in several areas around the INTEC were evident in the aquifer. The decreases are attributed to the discontinued disposal and to dilution and dispersion in the aquifer. The increases may be due to the movement into the aquifer of remnant perched water below the INTEC. \r\n\r\nIn 2007, the USGS also collected samples from 31 zones in 6 wells equipped with multi-level WestbayTM packer sampling systems to help define the vertical distribution of 129I in the aquifer. Concentrations ranged from 0.000011 +- 0.0000005 to 0.0167 +- 0.0007 pCi/L. For three wells, concentrations of 129I between zones varied one to two orders of magnitude. For two wells, concentrations varied for one zone by more than an order of magnitude from the wells' other zones. Similar concentrations were measured from all five zones sampled in one well. All of the 31 zones had concentrations two or more magnitudes below the maximum contaminant level.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095088","collaboration":"Prepared in cooperation with U.S. Department of Energy DOE/ID-22208","usgsCitation":"Bartholomay, R.C., 2009, Iodine-129 in the Snake River Plain Aquifer at and Near the Idaho National Laboratory, Idaho, 2003 and 2007: U.S. Geological Survey Scientific Investigations Report 2009-5088, vi, 29 p., https://doi.org/10.3133/sir20095088.","productDescription":"vi, 29 p.","temporalStart":"2003-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":197906,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12614,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5088/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,44.25 ], [ -112.16666666666667,44.25 ], [ -112.16666666666667,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6671e5","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302233,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97467,"text":"ofr20091064 - 2009 - Drilling and testing the DOI-04-1A coalbed methane well, Fort Yukon, Alaska","interactions":[],"lastModifiedDate":"2021-09-08T21:22:19.075332","indexId":"ofr20091064","displayToPublicDate":"2009-05-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1064","title":"Drilling and testing the DOI-04-1A coalbed methane well, Fort Yukon, Alaska","docAbstract":"The need for affordable energy sources is acute in rural communities of Alaska where costly diesel fuel must be delivered by barge or plane for power generation. Additionally, the transport, transfer, and storage of fuel pose great difficulty in these regions. Although small-scale energy development in remote Arctic locations presents unique challenges, identifying and developing economic, local sources of energy remains a high priority for state and local government.\r\n\r\nMany areas in rural Alaska contain widespread coal resources that may contain significant amounts of coalbed methane (CBM) that, when extracted, could be used for power generation. However, in many of these areas, little is known concerning the properties that control CBM occurrence and production, including coal bed geometry, coalbed gas content and saturation, reservoir permeability and pressure, and water chemistry. Therefore, drilling and testing to collect these data are required to accurately assess the viability of CBM as a potential energy source in most locations. \r\n\r\nIn 2004, the U.S. Geological Survey (USGS) and Bureau of Land Management (BLM), in cooperation with the U.S. Department of Energy (DOE), the Alaska Department of Geological and Geophysical Surveys (DGGS), the University of Alaska Fairbanks (UAF), the Doyon Native Corporation, and the village of Fort Yukon, organized and funded the drilling of a well at Fort Yukon, Alaska to test coal beds for CBM developmental potential. Fort Yukon is a town of about 600 people and is composed mostly of Gwich'in Athabascan Native Americans. It is located near the center of the Yukon Flats Basin, approximately 145 mi northeast of Fairbanks.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091064","usgsCitation":"Clark, A., Barker, C., and Weeks, E.P., 2009, Drilling and testing the DOI-04-1A coalbed methane well, Fort Yukon, Alaska: U.S. Geological Survey Open-File Report 2009-1064, iv, 69 p., https://doi.org/10.3133/ofr20091064.","productDescription":"iv, 69 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195209,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12610,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1064/","linkFileType":{"id":5,"text":"html"}},{"id":388975,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86612.htm"}],"country":"United States","state":"Alaska","city":"Fort Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.2,\n 66.5639\n ],\n [\n -145.2139,\n 66.5639\n ],\n [\n -145.2139,\n 66.5528\n ],\n [\n -145.2,\n 66.5528\n ],\n [\n -145.2,\n 66.5639\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db6352c4","contributors":{"authors":[{"text":"Clark, Arthur","contributorId":26034,"corporation":false,"usgs":true,"family":"Clark","given":"Arthur","affiliations":[],"preferred":false,"id":302227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barker, Charles E.","contributorId":93070,"corporation":false,"usgs":true,"family":"Barker","given":"Charles E.","affiliations":[],"preferred":false,"id":302228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weeks, Edwin P. epweeks@usgs.gov","contributorId":2576,"corporation":false,"usgs":true,"family":"Weeks","given":"Edwin","email":"epweeks@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":302226,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97464,"text":"ofr20091010 - 2009 - Preliminary assessment of vertical stability and gravel transport along the Umpqua River, southwestern Oregon","interactions":[],"lastModifiedDate":"2019-04-29T10:30:08","indexId":"ofr20091010","displayToPublicDate":"2009-04-29T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1010","title":"Preliminary assessment of vertical stability and gravel transport along the Umpqua River, southwestern Oregon","docAbstract":"

This report addresses physical channel issues related to instream gravel mining on the Umpqua River and its two primary tributaries, the North and South Umpqua Rivers. This analysis constitutes a “Phase I” investigation, as designated by an interagency team cochaired by the U.S. Army Corps of Engineers, Portland District, and the Oregon Department of State Lands to address instream gravel mining issues across Oregon. Phase I analyses rely primarily on existing datasets and cursory analysis to determine the vertical stability of a channel to ascertain whether a particular river channel is aggrading, degrading, or at equilibrium. Additionally, a Phase I analysis identifies other critical issues or questions pertinent to physical channel conditions that may be related to instream gravel mining activities.

This analysis can support agency permitting decisions as well as possibly indicating the need for additional studies. This specific analysis focuses on the mainstem Umpqua River from the Pacific Ocean at River Mile (RM) 0 to the confluence of the North and South Umpqua Rivers (at RM 111.8), as well as the lower 29 mi of the North Umpqua River and the lower 80 mi of the South Umpqua River (fig. 1). It is within these reaches where mining of gravel bars for aggregate has been most prevalent.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091010","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Portland District","usgsCitation":"O'Connor, J., Wallick, J., Sobieszczyk, S., Cannon, C., and Anderson, S.W., 2009, Preliminary assessment of vertical stability and gravel transport along the Umpqua River, southwestern Oregon: U.S. Geological Survey Open-File Report 2009-1010, vi, 40 p., https://doi.org/10.3133/ofr20091010.","productDescription":"vi, 40 p.","numberOfPages":"47","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":195534,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12606,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1010/","linkFileType":{"id":5,"text":"html"}},{"id":352589,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1010/ofr20091010.pdf"}],"country":"United States","state":"Oregon","otherGeospatial":"Umpqua River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.5,42.5 ], [ -124.5,44 ], [ -122,44 ], [ -122,42.5 ], [ -124.5,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e748","contributors":{"authors":[{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":302220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, Charles ccannon@usgs.gov","contributorId":4471,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":107001,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":302221,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97451,"text":"ds420 - 2009 - Archive of digital boomer and CHIRP seismic reflection data collected during USGS field activity 08LCA03 in Lake Panasoffkee, Florida, May 2008","interactions":[],"lastModifiedDate":"2023-12-07T16:08:56.268076","indexId":"ds420","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"420","title":"Archive of digital boomer and CHIRP seismic reflection data collected during USGS field activity 08LCA03 in Lake Panasoffkee, Florida, May 2008","docAbstract":"In May of 2008, the U.S. Geological Survey (USGS) conducted geophysical surveys in Lake Panasoffkee, located in central Florida, as part of the USGS Lakes and Coastal Aquifers (LCA) study. This report serves as an archive of unprocessed digital boomer and Compressed High Intensity Radar Pulse (CHIRP)* seismic reflection data, trackline maps, navigation files, Field Activity Collection System (FACS) logs, Geographic Information System (GIS) files, and formal Federal Geographic Data Committee (FGDC) metadata. Filtered and gained (a relative increase in signal amplitude) digital images of the seismic profiles and geospatially corrected interactive profiles are also provided. Refer to the Acronyms page for expansions of acronyms and abbreviations used in this report. *Due to poor data acquisition conditions associated with the lake bottom sediments, only two CHIRP tracklines were collected during this field activity.\r\n\r\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are provided.\r\n\r\nThe USGS Florida Integrated Science Center (FISC) - St. Petersburg assigns a unique identifier to each cruise or field activity. For example, 08LCA03 tells us the data were collected in 2008 for the Lakes and Coastal Aquifers (LCA) study and the data were collected during the third field activity for that study in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID. The naming convention used for each seismic line is as follows: yye##a, where 'yy' are the last two digits of the year in which the data were collected, 'e' is a 1-letter abbreviation for the equipment type (for example, b for boomer and c for CHIRP), '##' is a 2-digit number representing a specific track, and 'a' is a letter representing the section of a line if recording was prematurely terminated or rerun for quality or acquisition problems.\r\n\r\nThe boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and, when discharged, emits a short acoustic pulse, or shot, which propagates through the water, sediment column, or rock beneath. The acoustic energy is reflected at density boundaries (such as the seafloor, sediment, or rock layers beneath the seafloor), detected by the receiver, and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2-D) vertical profile of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the boomer acquisition geometry. \r\n\r\nThe EdgeTech SB-424 CHIRP system used for this survey has a vertical resolution of 4 - 8 cm, a penetration depth that is usually less than 2 m beneath the seafloor, and uses a signal of continuously varying frequency. The towfish is a sound source and receiver, which is typically towed 2 - 5 m above the seafloor. The acoustic energy is reflected at density boundaries (such as the seafloor or sediment layers beneath the seafloor), detected by a receiver, and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.125 s) and recorded for specific intervals of time (for example, 50 ms); the resulting profile is a two-dimensional vertical image of the shallow geologic structure beneath the ship track. Figure 2 displays the acquisition geometry for the CHIRP system. Refer to table 1 for a summary of acquisition parameters and table 2 for trackline statistics.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds420","usgsCitation":"Harrison, A.S., Dadisman, S.V., McBride, W., Flocks, J.G., and Wiese, D.S., 2009, Archive of digital boomer and CHIRP seismic reflection data collected during USGS field activity 08LCA03 in Lake Panasoffkee, Florida, May 2008: U.S. Geological Survey Data Series 420, HTML Document; CD-ROM, https://doi.org/10.3133/ds420.","productDescription":"HTML Document; CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-05-13","temporalEnd":"2008-05-14","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":423301,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97321.htm","linkFileType":{"id":5,"text":"html"}},{"id":12590,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/420/","linkFileType":{"id":5,"text":"html"}},{"id":196424,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Panasoffkee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.15670456847309,\n 28.840833035568238\n ],\n [\n -82.15670456847309,\n 28.76151526340054\n ],\n [\n -82.09104056486755,\n 28.76151526340054\n ],\n [\n -82.09104056486755,\n 28.840833035568238\n ],\n [\n -82.15670456847309,\n 28.840833035568238\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679e09","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":302179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":302176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, W. Scott","contributorId":15293,"corporation":false,"usgs":true,"family":"McBride","given":"W. Scott","affiliations":[],"preferred":false,"id":302178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":302175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":302177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97448,"text":"ds399 - 2009 - EAARL Coastal Topography - Northern Gulf of Mexico, 2007: First surface","interactions":[],"lastModifiedDate":"2022-07-08T20:34:31.078402","indexId":"ds399","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"399","title":"EAARL Coastal Topography - Northern Gulf of Mexico, 2007: First surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) elevation data were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThe project provides highly detailed and accurate datasets of select barrier islands and peninsular regions of Louisiana, Mississippi, Alabama, and Florida, acquired June 27-30, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.\r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds399","usgsCitation":"Smith, K., Nayegandhi, A., Wright, C.W., Bonisteel, J.M., and Brock, J., 2009, EAARL Coastal Topography - Northern Gulf of Mexico, 2007: First surface: U.S. Geological Survey Data Series 399, HTML document: DVD-ROMs, https://doi.org/10.3133/ds399.","productDescription":"HTML document: DVD-ROMs","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-06-27","temporalEnd":"2007-06-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":197779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403318,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86526.htm","linkFileType":{"id":5,"text":"html"}},{"id":12587,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/399/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.2167,\n 29.75\n ],\n [\n -87.0839,\n 29.75\n ],\n [\n -87.0839,\n 30.3847\n ],\n [\n -89.2167,\n 30.3847\n ],\n [\n -89.2167,\n 29.75\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f53f","contributors":{"authors":[{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":302162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302160,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97450,"text":"ds401 - 2009 - EAARL topography - George Washington Birthplace National Monument 2008","interactions":[],"lastModifiedDate":"2022-08-02T20:28:17.004286","indexId":"ds401","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"401","title":"EAARL topography - George Washington Birthplace National Monument 2008","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) and first surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the George Washington Birthplace National Monument in Virginia, acquired on March 26, 2008. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL) was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds401","usgsCitation":"Brock, J., Nayegandhi, A., Wright, C.W., Stevens, S., and Yates, X., 2009, EAARL topography - George Washington Birthplace National Monument 2008: U.S. Geological Survey Data Series 401, HTML Document, DVD-ROM, https://doi.org/10.3133/ds401.","productDescription":"HTML Document, DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-03-26","temporalEnd":"2008-03-26","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":197815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":404712,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86524.htm","linkFileType":{"id":5,"text":"html"}},{"id":12589,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/401/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.93553924560547,\n 38.18071964090608\n ],\n [\n -76.91167831420898,\n 38.18071964090608\n ],\n [\n -76.91167831420898,\n 38.202171463410224\n ],\n [\n -76.93553924560547,\n 38.202171463410224\n ],\n [\n -76.93553924560547,\n 38.18071964090608\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c4a3","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":302174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":302173,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97446,"text":"ofr20091051 - 2009 - Transient electromagnetic soundings near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 field season)","interactions":[],"lastModifiedDate":"2021-04-15T14:08:27.651497","indexId":"ofr20091051","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1051","displayTitle":"Transient Electromagnetic Soundings Near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 Field Season)","title":"Transient electromagnetic soundings near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 field season)","docAbstract":"Time-domain electromagnetic (TEM) soundings were made near Great Sand Dunes National Park and Preserve in the San Luis Valley of southern Colorado to obtain subsurface information of use to hydrologic modeling. Seventeen soundings were made to the east and north of the sand dunes. Using a small loop TEM system, maximum exploration depths of about 75 to 150 m were obtained. In general, layered earth interpretations of the data found that resistivity decreases with depth. Comparison of soundings with geologic logs from nearby wells found that zones logged as having increased clay content usually corresponded with a significant resistivity decrease in the TEM determined model. This result supports the use of TEM soundings to map the location of the top of the clay unit deposited at the bottom of the ancient Lake Alamosa that filled the San Luis Valley from Pliocene to middle Pleistocene time.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091051","usgsCitation":"Fitterman, D.V., and de Souza Filho, O.A., 2009, Transient electromagnetic soundings near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 field season): U.S. Geological Survey Open-File Report 2009-1051, Report: vi, 55 p.; Downloads Directory, https://doi.org/10.3133/ofr20091051.","productDescription":"Report: vi, 55 p.; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":385124,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2009/1051/downloads/","text":"Downloads Directory","linkFileType":{"id":5,"text":"html"}},{"id":385123,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1051/downloads/OF09-1051.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":195501,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2009/1051/images/coverthb.gif"},{"id":12585,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1051/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.7706298828125,\n 37.22595454983972\n ],\n [\n -105.545654296875,\n 37.22595454983972\n ],\n [\n -105.545654296875,\n 38.55246141354153\n ],\n [\n -106.7706298828125,\n 38.55246141354153\n ],\n [\n -106.7706298828125,\n 37.22595454983972\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4de4b07f02db626e2c","contributors":{"authors":[{"text":"Fitterman, David V. dfitterman@usgs.gov","contributorId":1106,"corporation":false,"usgs":true,"family":"Fitterman","given":"David","email":"dfitterman@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":302156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Souza Filho, Oderson A.","contributorId":88620,"corporation":false,"usgs":true,"family":"de Souza Filho","given":"Oderson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":302157,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97447,"text":"tm2A9 - 2009 - Quantifying Equid Behavior - A Research Ethogram for Free-Roaming Feral Horses","interactions":[],"lastModifiedDate":"2012-02-02T00:15:10","indexId":"tm2A9","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"2-A9","title":"Quantifying Equid Behavior - A Research Ethogram for Free-Roaming Feral Horses","docAbstract":"Feral horses (Equus caballus) are globally distributed in free-roaming populations on all continents except Antarctica and occupy a wide range of habitats including forest, grassland, desert, and montane environments. The largest populations occur in Australia and North America and have been the subject of scientific study for decades, yet guidelines and ethograms for feral horse behavioral research are largely absent in the scientific literature. The U.S. Geological Survey (USGS) Fort Collins Science Center conducted research on the influences of the immunocontraceptive porcine zona pellucida (PZP) on feral horse behavior from 2003-2006 in three discrete populations in the American west. These populations were the Little Book Cliffs Wild Horse Range in Colorado, McCullough Peaks Herd Management Area in Wyoming, and Pryor Mountain Wild Horse Range in Montana; the research effort included over 1,800 hours of behavioral observations of 317 adult free-roaming feral horses. An ethogram was developed during the course of this study to facilitate accurate scientific data collection on feral horse behavior, which is often challenging to quantify. By developing this set of discrete behavioral definitions and a set of strict research protocols, scientists were better able to address both applied questions, such as behavioral changes related to fertility control, and theoretical questions, such as understanding networks and dominance hierarchies within social groups of equids.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/tm2A9","usgsCitation":"Ransom, J.I., and Cade, B.S., 2009, Quantifying Equid Behavior - A Research Ethogram for Free-Roaming Feral Horses: U.S. Geological Survey Techniques and Methods 2-A9, vi, 23 p., https://doi.org/10.3133/tm2A9.","productDescription":"vi, 23 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":195913,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12586,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/02a09/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e486fe4b07f02db50d488","contributors":{"authors":[{"text":"Ransom, Jason I. 0000-0002-5930-4004","orcid":"https://orcid.org/0000-0002-5930-4004","contributorId":71645,"corporation":false,"usgs":true,"family":"Ransom","given":"Jason","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":302159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":302158,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97449,"text":"ds400 - 2009 - EAARL coastal topography — Northern Gulf of Mexico, 2007: Bare earth","interactions":[],"lastModifiedDate":"2022-07-11T20:48:10.309219","indexId":"ds400","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"400","title":"EAARL coastal topography — Northern Gulf of Mexico, 2007: Bare earth","docAbstract":"

These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.

The purpose of this project is to provide highly detailed and accurate datasets of select barrier islands and peninsular regions of Louisiana, Mississippi, Alabama, and Florida, acquired on June 27-30, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.

Elevation measurements were collected over the survey area using the EAARL system and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.

","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds400","usgsCitation":"Smith, K., Nayegandhi, A., Wright, C.W., Bonisteel, J.M., and Brock, J., 2009, EAARL coastal topography — Northern Gulf of Mexico, 2007: Bare earth: U.S. Geological Survey Data Series 400, HTML Document: DVD-ROM, https://doi.org/10.3133/ds400.","productDescription":"HTML Document: DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-06-27","temporalEnd":"2007-06-30","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":197780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403437,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86525.htm","linkFileType":{"id":5,"text":"html"}},{"id":12588,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/400/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.3792724609375,\n 29.57345707301757\n ],\n [\n -86.98974609375,\n 29.57345707301757\n ],\n [\n -86.98974609375,\n 30.557530797259172\n ],\n [\n -89.3792724609375,\n 30.557530797259172\n ],\n [\n -89.3792724609375,\n 29.57345707301757\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f53d","contributors":{"authors":[{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":302167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302165,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97452,"text":"ds421 - 2009 - Archive of digital boomer seismic reflection data collected during USGS field activity 08LCA01 in 10 central Florida lakes, March 2008","interactions":[],"lastModifiedDate":"2023-06-02T15:20:17.815115","indexId":"ds421","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"421","displayTitle":"Archive of Digital Boomer Seismic Reflection Data Collected During USGS Field Activity 08LCA01 in 10 Central Florida Lakes, March 2008","title":"Archive of digital boomer seismic reflection data collected during USGS field activity 08LCA01 in 10 central Florida lakes, March 2008","docAbstract":"

No abstract available.

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Center","active":true,"usgs":true}],"preferred":true,"id":302182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":97455,"text":"ofr20091061 - 2009 - Hurricane Ike: Observations and analysis of coastal change","interactions":[],"lastModifiedDate":"2022-07-14T13:19:35.634939","indexId":"ofr20091061","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-1061","title":"Hurricane Ike: Observations and analysis of coastal change","docAbstract":"Understanding storm-induced coastal change and forecasting these changes require knowledge of the physical processes associated with the storm and the geomorphology of the impacted coastline. The primary physical processes of interest are the wind field, storm surge, and wave climate. Not only does wind cause direct damage to structures along the coast, but it is ultimately responsible for much of the energy that is transferred to the ocean and expressed as storm surge, mean currents, and large waves. Waves and currents are the processes most responsible for moving sediments in the coastal zone during extreme storm events. Storm surge, the rise in water level due to the wind, barometric pressure, and other factors, allows both waves and currents to attack parts of the coast not normally exposed to those processes.\r\n\r\nCoastal geomorphology, including shapes of the shoreline, beaches, and dunes, is equally important to the coastal change observed during extreme storm events. Relevant geomorphic variables include sand dune elevation, beach width, shoreline position, sediment grain size, and foreshore beach slope. These variables, in addition to hydrodynamic processes, can be used to predict coastal vulnerability to storms\r\n\r\nThe U.S. Geological Survey's (USGS) National Assessment of Coastal Change Hazards Project (http://coastal.er.usgs.gov/hurricanes), strives to provide hazard information to those interested in the Nation's coastlines, including residents of coastal areas, government agencies responsible for coastal management, and coastal researchers. As part of the National Assessment, observations were collected to measure coastal changes associated with Hurricane Ike, which made landfall near Galveston, Texas, on September 13, 2008. Methods of observation included aerial photography and airborne topographic surveys. This report documents these data-collection efforts and presents qualitative and quantitative descriptions of hurricane-induced changes to the shoreline, beaches, dunes, and infrastructure in the region that was heavily impacted by Hurricane Ike.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091061","usgsCitation":"Doran, K., Plant, N.G., Stockdon, H.F., Sallenger, A., and Serafin, K.A., 2009, Hurricane Ike: Observations and analysis of coastal change: U.S. Geological Survey Open-File Report 2009-1061, vi, 35 p., https://doi.org/10.3133/ofr20091061.","productDescription":"vi, 35 p.","temporalStart":"2008-09-13","temporalEnd":"2008-09-13","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":195347,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12595,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1061/","linkFileType":{"id":5,"text":"html"}},{"id":403718,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86529.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.4,\n 28.8417\n ],\n [\n -93.3667,\n 28.8417\n ],\n [\n -93.3667,\n 29.775\n ],\n [\n -95.4,\n 29.775\n ],\n [\n -95.4,\n 28.8417\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4fe4b07f02db628737","contributors":{"authors":[{"text":"Doran, Kara S. 0000-0001-8050-5727","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":33010,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","affiliations":[],"preferred":false,"id":302190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":302188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":302187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, Asbury H. 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