{"pageNumber":"1914","pageRowStart":"47825","pageSize":"25","recordCount":184605,"records":[{"id":98351,"text":"sir20095250 - 2010 - Techniques for Estimating the Magnitude and Frequency of Peak Flows on Small Streams in Minnesota Based on Data through Water Year 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095250","displayToPublicDate":"2010-04-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5250","title":"Techniques for Estimating the Magnitude and Frequency of Peak Flows on Small Streams in Minnesota Based on Data through Water Year 2005","docAbstract":"Knowledge of the peak flow of floods of a given recurrence interval is essential for regulation and planning of water resources and for design of bridges, culverts, and dams along Minnesota's rivers and streams. Statistical techniques are needed to estimate peak flow at ungaged sites because long-term streamflow records are available at relatively few places. Because of the need to have up-to-date peak-flow frequency information in order to estimate peak flows at ungaged sites, the U.S. Geological Survey (USGS) conducted a peak-flow frequency study in cooperation with the Minnesota Department of Transportation and the Minnesota Pollution Control Agency.\r\n\r\nEstimates of peak-flow magnitudes for 1.5-, 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence intervals are presented for 330 streamflow-gaging stations in Minnesota and adjacent areas in Iowa and South Dakota based on data through water year 2005. The peak-flow frequency information was subsequently used in regression analyses to develop equations relating peak flows for selected recurrence intervals to various basin and climatic characteristics. Two statistically derived techniques-regional regression equation and region of influence regression-can be used to estimate peak flow on ungaged streams smaller than 3,000 square miles in Minnesota. Regional regression equations were developed for selected recurrence intervals in each of six regions in Minnesota: A (northwestern), B (north central and east central), C (northeastern), D (west central and south central), E (southwestern), and F (southeastern). The regression equations can be used to estimate peak flows at ungaged sites. The region of influence regression technique dynamically selects streamflow-gaging stations with characteristics similar to a site of interest. Thus, the region of influence regression technique allows use of a potentially unique set of gaging stations for estimating peak flow at each site of interest. Two methods of selecting streamflow-gaging stations, similarity and proximity, can be used for the region of influence regression technique.\r\n\r\nThe regional regression equation technique is the preferred technique as an estimate of peak flow in all six regions for ungaged sites. The region of influence regression technique is not appropriate for regions C, E, and F because the interrelations of some characteristics of those regions do not agree with the interrelations throughout the rest of the State. Both the similarity and proximity methods for the region of influence technique can be used in the other regions (A, B, and D) to provide additional estimates of peak flow. The peak-flow-frequency estimates and basin characteristics for selected streamflow-gaging stations and regional peak-flow regression equations are included in this report.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095250","collaboration":"Prepared in cooperation with the Minnesota Department of Transportation and the Minnesota Pollution Control Agency","usgsCitation":"Lorenz, D.L., Sanocki, C.A., and Kocian, M.J., 2010, Techniques for Estimating the Magnitude and Frequency of Peak Flows on Small Streams in Minnesota Based on Data through Water Year 2005: U.S. Geological Survey Scientific Investigations Report 2009-5250, iv, 54 p. , https://doi.org/10.3133/sir20095250.","productDescription":"iv, 54 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":125896,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5250.jpg"},{"id":13600,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5250/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,43 ], [ -98,50 ], [ -89,50 ], [ -89,43 ], [ -98,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db6860bb","contributors":{"authors":[{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocian, Matthew J.","contributorId":19654,"corporation":false,"usgs":false,"family":"Kocian","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98350,"text":"fs20103003 - 2010 - Flood of April and May 2008 in Northern Maine","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"fs20103003","displayToPublicDate":"2010-04-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3003","title":"Flood of April and May 2008 in Northern Maine","docAbstract":"Severe flooding occurred in Aroostook and Penobscot Counties in northern Maine between April 28 and May 1, 2008, and damage was extensive in the town of Fort Kent. Aroostook County was declared a Federal disaster area on May 9, and the declaration was expanded to include Penobscot County on May 16-qualifying the entire region for federal assistance.\r\n\r\nWater in the St. John River peaked at 30.17 feet in Fort Kent (5 feet above flood stage), hit the low steel of the International Bridge connecting Fort Kent to New Brunswick, caused closure of international bridges in Fort Kent, Van Buren, and Hamlin and came within inches of the top of a 30-foot-high earthen dike constructed to protect the downtown area of Fort Kent. Longterm streamgages with 25 to 84 years of record on the Big Black, St. John, Allagash, Fish, and Aroostook Rivers recorded maximum streamflows for their respective periods of record.\r\n\r\nNorthern Maine experienced major floods in 1923, 1973, 1974, 1979, and 1983 (Maloney and Bartlett, 1991). All of these floods were in late April or early May when heavy rain combined with snowmelt runoff.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103003","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Lombard, P., 2010, Flood of April and May 2008 in Northern Maine: U.S. Geological Survey Fact Sheet 2010-3003, https://doi.org/10.3133/fs20103003.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":125899,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3003.jpg"},{"id":13599,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3003/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f0e4b07f02db5ee1bf","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":23899,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","affiliations":[],"preferred":false,"id":305056,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98349,"text":"sir20105003 - 2010 - Flood of April and May 2008 in Northern Maine","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20105003","displayToPublicDate":"2010-04-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5003","title":"Flood of April and May 2008 in Northern Maine","docAbstract":"Severe flooding occurred in Aroostook and Penobscot Counties in northern Maine between April 28 and May 1, 2008, and was most extreme in the town of Fort Kent. Peak streamflows in northern Aroostook County were the result of a persistent heavy snowpack that caused high streamflows when it quickly melted during the third week of April 2008. Snowmelt was followed by from two to four inches of rainfall over a 2-day period in northern Maine. Peak water-surface elevations resulting from the flood were obtained from 13 continuous-record streamgages and 63 surveyed high-water marks in Aroostook and Penobscot Counties. Peak streamflows were obtained from 20 sites on 15 streams through stage/discharge rating curves or hydraulic flow models. Peak water-surface elevations and streamflows were the highest ever recorded at seven continuous-record streamgages, which had between 25 and 84 years of record in northern Aroostook County. The annual exceedance probability (the percent chance of exceeding the streamflow recorded during the April/May 2008 flood during any given year) at six streamgages in northern Maine was equal to or less than 1 percent. \r\n\r\nData from flood-insurance studies published by the Federal Emergency Management Agency were available for five of the locations analyzed for the April/May 2008 flood and were compared to streamflows and observed peak water-surface elevations from the 2008 flood. Water-surface elevations that would be expected given the observed flow as applied to the effective flood insurance studies ranged from between 1 and 4 feet from the water-surface elevations observed during the 2008 flood. Differences were likely the result of up to 30 years of additional data for the calculation of recurrence intervals and the fact that hydraulic models used for the models had not previously been calibrated to a flood of this magnitude. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105003","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Lombard, P., 2010, Flood of April and May 2008 in Northern Maine: U.S. Geological Survey Scientific Investigations Report 2010-5003, iv, 17 p.  , https://doi.org/10.3133/sir20105003.","productDescription":"iv, 17 p.  ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-04-28","temporalEnd":"2008-05-01","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":125900,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5003.jpg"},{"id":13598,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5003/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.5,45 ], [ -70.5,48 ], [ -67,48 ], [ -67,45 ], [ -70.5,45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4814e4b07f02db4dac15","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":23899,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","affiliations":[],"preferred":false,"id":305055,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216852,"text":"70216852 - 2010 - Trends in groundwater levels in wells in the active management areas of Arizona, USA","interactions":[],"lastModifiedDate":"2020-12-10T13:27:59.552004","indexId":"70216852","displayToPublicDate":"2010-04-27T15:42:25","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Trends in groundwater levels in wells in the active management areas of Arizona, USA","docAbstract":"<p>In 1980, the Arizona legislature passed the Groundwater Management Act (GMA), creating the active management areas (AMAs) to protect shared groundwater resources and to control severe overdrafts occurring in many parts of the state. With the 30-year anniversary of the GMA approaching, this article addresses the question: Have there been notable changes in the trends in observed groundwater levels in the AMAs from before enactment of the GMA until present? New tools developed for the US Geological Survey’s National Water Availability and Use Pilot Program are used to analyze and present trends in observed groundwater level data. Trends in groundwater levels in the AMAs were investigated for 10-year time periods from 1970 through 1999 and an 9-year period from 2000–2008. Results indicate that the number of wells with rising trends in water levels increased and the number of wells with falling trends in water levels decreased during the early decades after passage of the GMA in the most-populated Phoenix and heavily agricultural Pinal AMAs. However, these trends in water levels are reversed during the 1995–2004 time period. The value of trend analyses would be improved by consistent groundwater-level monitoring in both developed and undeveloped areas of the region.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-010-0603-3","usgsCitation":"Tillman, F.D., and Leake, S.A., 2010, Trends in groundwater levels in wells in the active management areas of Arizona, USA: Hydrogeology Journal, v. 18, p. 1515-1524, https://doi.org/10.1007/s10040-010-0603-3.","productDescription":"10 p.","startPage":"1515","endPage":"1524","numberOfPages":"10","ipdsId":"IP-014532","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":381179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"4\",\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  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Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806642,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202252,"text":"70202252 - 2010 - Seasonal H2O and CO2 ice cycles at the Mars Phoenix landing site: 1. Prelanding CRISM and HiRISE observations","interactions":[],"lastModifiedDate":"2019-02-18T12:54:17","indexId":"70202252","displayToPublicDate":"2010-04-27T12:52:31","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal H2O and CO2 ice cycles at the Mars Phoenix landing site: 1. Prelanding CRISM and HiRISE observations","docAbstract":"<p><span>The condensation, evolution, and sublimation of seasonal water and carbon dioxide ices were characterized at the Mars Phoenix landing site from Martian northern midsummer to midspring (L</span><sub>s</sub><span>&nbsp;∼ 142° – L</span><sub>s</sub><span>&nbsp;∼ 60°) for the year prior to the Phoenix landing on 25 May 2008. Ice relative abundances and grain sizes were estimated using data from the Compact Reconnaissance Imaging Spectrometer for Mars and High Resolution Imaging Science Experiment aboard Mars Reconnaissance Orbiter and a nonlinear mixing model. Water ice first appeared at the Phoenix landing site during the afternoon in late summer (L</span><sub>s</sub><span>&nbsp;∼ 167°) as an optically thin layer on top of soil. CO</span><sub>2</sub><span>&nbsp;ice appeared after the fall equinox. By late winter (L</span><sub>s</sub><span>∼ 344°), the site was covered by relatively pure CO</span><sub>2</sub><span>&nbsp;ice (∼30 cm thick), with a small amount of ∼100&nbsp;</span><i>μ</i><span>m diameter water ice and soil. As spring progressed, CO</span><sub>2</sub><span>&nbsp;ice grain sizes gradually decreased, a change interpreted to result from granulation during sublimation losses. The combined effect of CO</span><sub>2</sub><span>&nbsp;sublimation and decreasing H</span><sub>2</sub><span>O ice grain sizes allowed H</span><sub>2</sub><span>O ice to dominate spectra during the spring and significantly brightened the surface. CO</span><sub>2</sub><span>&nbsp;ice disappeared by early spring (L</span><sub>s</sub><span>&nbsp;∼ 34°) and H</span><sub>2</sub><span>O ice by midspring (L</span><sub>s</sub><span>&nbsp;∼ 59°). Spring defrosting was not uniform and occurred more rapidly over the centers of polygons and geomorphic units with relatively higher thermal inertia values.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2009JE003340","usgsCitation":"Cull, S., Arvidson, R.E., Mellon, M.T., Wiseman, S.M., Clark, R.N., Titus, T.N., Morris, R., and McGuire, P.E., 2010, Seasonal H2O and CO2 ice cycles at the Mars Phoenix landing site: 1. Prelanding CRISM and HiRISE observations: Journal of Geophysical Research E: Planets, v. 115, no. E4, 14 p., https://doi.org/10.1029/2009JE003340.","productDescription":"14 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":361319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"115","issue":"E4","noUsgsAuthors":false,"publicationDate":"2010-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Cull, Selby","contributorId":19100,"corporation":false,"usgs":true,"family":"Cull","given":"Selby","affiliations":[],"preferred":false,"id":757506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":757507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mellon, Michael T.","contributorId":8603,"corporation":false,"usgs":false,"family":"Mellon","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":757508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiseman, Sandra M.","contributorId":212719,"corporation":false,"usgs":false,"family":"Wiseman","given":"Sandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":757509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":757510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morris, Richard V.","contributorId":167513,"corporation":false,"usgs":false,"family":"Morris","given":"Richard V.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":757512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, Patrick E.","contributorId":71008,"corporation":false,"usgs":false,"family":"McGuire","given":"Patrick","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":757513,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70230290,"text":"70230290 - 2010 - Mg isotope constraints on soil pore-fluid chemistry: Evidence from Santa Cruz, California","interactions":[],"lastModifiedDate":"2022-04-06T16:17:22.640131","indexId":"70230290","displayToPublicDate":"2010-04-27T10:02:58","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Mg isotope constraints on soil pore-fluid chemistry: Evidence from Santa Cruz, California","docAbstract":"<p><span>Mg isotope ratios (</span><sup>26</sup><span>Mg/</span><sup>24</sup><span>Mg) are reported in soil pore-fluids, rain and seawater, grass and smectite from a 90</span><span>&nbsp;</span><span>kyr old soil, developed on an uplifted marine terrace from Santa Cruz, California. Rain water has an invariant&nbsp;</span><sup>26</sup><span>Mg/</span><sup>24</sup><span>Mg ratio (expressed as&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><i>δ26</i>Mg&gt;<span class=\"MJX_Assistive_MathML\"><i>δ26</i>Mg</span></span></span><span>) at −0.79</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>0.05‰, identical to seawater&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><i>δ26</i>Mg&gt;<span class=\"MJX_Assistive_MathML\"><i>δ26</i>Mg</span></span></span><span>. Detrital smectite (from the base of the soil profile, and therefore unweathered) has a&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\">δ26Mg\"&gt;<span class=\"MJX_Assistive_MathML\">δ26Mg</span></span></span><span>&nbsp;</span><span>value of 0.11‰, potentially enriched in&nbsp;</span><sup>26</sup><span>Mg by up to 0.3‰ compared to the bulk silicate Earth Mg isotope composition (although within the range of all terrestrial silicates). The soil pore-waters show a continuous profile with depth for&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><i>δ26</i>Mg&gt;<span class=\"MJX_Assistive_MathML\"><i>δ26</i>Mg</span></span></span><span>, ranging from −0.99‰ near the surface to −0.43‰ at the base of the profile. Shallow pore-waters (&lt;1</span><span>&nbsp;</span><span>m) have&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><i>δ26</i>Mg&gt;<span class=\"MJX_Assistive_MathML\"><i>δ26</i>Mg</span></span></span><span>&nbsp;values that are similar to, or slightly lower than the rain waters. This implies that the degree of biological cycling of Mg in the pore-waters is relatively small and is quantified as &lt;32%, calculated using the average Mg isotope enrichment factor between grass and rain (</span><span class=\"math\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><i>δ26</i>Mggrass-<i>δ26</i>Mgrain&gt;<span class=\"MJX_Assistive_MathML\"><i>δ26</i>Mggrass-<i>δ26</i>Mgrain</span></span></span><span>) of 0.21‰. The deep pore-waters (1–15</span><span>&nbsp;</span><span>m deep) have&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><i>δ26</i>Mg&gt;<span class=\"MJX_Assistive_MathML\"><i>δ26</i>Mg</span></span></span><span>&nbsp;values that are intermediate between the smectite and rain, ranging from −0.76‰ to −0.43‰, and show a similar trend with depth compared to Sr isotope ratios. The similarity between Sr and Mg isotope ratios confirms that the Mg in the pore-waters can be explained by a mixture between rain and smectite derived Mg, despite the fact that Mg and Sr concentrations may be buffered by the exchangeable reservoir. However, whilst Sr isotope ratios in the pore-waters span almost the complete range between mineral and rain inputs, Mg isotopes compositions are much closer to the rain inputs. If Mg and Sr isotope ratios are controlled uniquely by a mixture, the data can be used to estimate the mineral weathering inputs to the pore-waters, by correcting for the rain inputs. This isotopic correction is compared to the commonly used chloride correction for precipitation inputs. A consistent interpretation is only possible if Mg isotope ratios are fractionated either by the precipitation of a secondary Mg bearing phase, not detected by conventional methods, or selective leaching of&nbsp;</span><sup>24</sup><span>Mg from smectite. There is therefore dual control on the Mg isotopic composition of the pore-waters, mixing of two inputs with distinct isotopic compositions, modified by fractionation. The data provide (1) further evidence for Mg isotope fractionation at the surface of the Earth and (2) the first field evidence of Mg isotope fractionation during uptake by natural plants. The coherent behaviour of Mg isotope ratios in soil environments is encouraging for the development of Mg isotope ratios as a quantitative tracer of both weathering inputs of Mg to waters, and the physicochemical processes that cycle Mg, a major cation linked to the carbon cycle, during continental weathering.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2010.04.021","usgsCitation":"Tipper, E.T., Gaillardet, J., Louvat, P., Capmas, F., and White, A.F., 2010, Mg isotope constraints on soil pore-fluid chemistry: Evidence from Santa Cruz, California: Geochimica et Cosmochimica Acta, v. 74, no. 14, p. 3883-3896, https://doi.org/10.1016/j.gca.2010.04.021.","productDescription":"14 p.","startPage":"3883","endPage":"3896","costCenters":[],"links":[{"id":398221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Cruz","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.10891723632812,\n              36.94495296068268\n            ],\n            [\n              -121.93038940429688,\n              36.94495296068268\n            ],\n            [\n              -121.93038940429688,\n              37.04092825594592\n            ],\n            [\n              -122.10891723632812,\n              37.04092825594592\n            ],\n            [\n              -122.10891723632812,\n              36.94495296068268\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tipper, Edward T.","contributorId":289842,"corporation":false,"usgs":false,"family":"Tipper","given":"Edward","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":839881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaillardet, Jerome","contributorId":184199,"corporation":false,"usgs":false,"family":"Gaillardet","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":839882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Louvat, Pascale","contributorId":289843,"corporation":false,"usgs":false,"family":"Louvat","given":"Pascale","email":"","affiliations":[],"preferred":false,"id":839883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capmas, Francoise","contributorId":289844,"corporation":false,"usgs":false,"family":"Capmas","given":"Francoise","email":"","affiliations":[],"preferred":false,"id":839884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Arthur F. afwhite@usgs.gov","contributorId":3718,"corporation":false,"usgs":true,"family":"White","given":"Arthur","email":"afwhite@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":839885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156092,"text":"70156092 - 2010 - Scale-dependent mechanisms of habitat selection for a migratory passerine: an experimental approach","interactions":[],"lastModifiedDate":"2017-05-07T11:51:04","indexId":"70156092","displayToPublicDate":"2010-04-27T01:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Scale-dependent mechanisms of habitat selection for a migratory passerine: an experimental approach","docAbstract":"<p>Habitat selection theory predicts that individuals choose breeding habitats that maximize fitness returns on the basis of indirect environmental cues at multiple spatial scales. We performed a 3-year field experiment to evaluate five alternative hypotheses regarding whether individuals choose breeding territories in heterogeneous landscapes on the basis of (1) shrub cover within a site, (2) forest land-cover pattern surrounding a site, (3) conspecific song cues during prebreeding settlement periods, (4) a combination of these factors, and (5) interactions among these factors. We tested hypotheses with playbacks of conspecific song across a gradient of landscape pattern and shrub density and evaluated changes in territory occupancy patterns in a forest-nesting passerine, the Black-throated Blue Warbler (<i>Dendroica caerulescens</i>). Our results support the hypothesis that vegetation structure plays a primary role during presettlement periods in determining occupancy patterns in this species. Further, both occupancy rates and territory turnover were affected by an interaction between local shrub density and amount of forest in the surrounding landscape, but not by interactions between habitat cues and social cues. Although previous studies of this species in unfragmented landscapes found that social postbreeding song cues played a key role in determining territory settlement, our prebreeding playbacks were not associated with territory occupancy or turnover. Our results suggest that in heterogeneous landscapes during spring settlement, vegetation structure may be a more reliable signal of reproductive performance than the physical location of other individuals.</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2010.09171","usgsCitation":"Donovan, T., and Cornell, K.L., 2010, Scale-dependent mechanisms of habitat selection for a migratory passerine: an experimental approach: The Auk, v. 127, no. 4, p. 899-908, https://doi.org/10.1525/auk.2010.09171.","productDescription":"10 p.","startPage":"899","endPage":"908","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010354","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","county":"Addison, 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,{"id":98344,"text":"fs20103019 - 2010 - Modeling Climate Change and Sturgeon Populations in the Missouri River","interactions":[],"lastModifiedDate":"2012-02-02T00:14:34","indexId":"fs20103019","displayToPublicDate":"2010-04-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3019","title":"Modeling Climate Change and Sturgeon Populations in the Missouri River","docAbstract":"The U.S. Geological Survey (USGS) Columbia Environmental Research Center (CERC), in collaboration with researchers from the University of Missouri and Iowa State University, is conducting research to address effects of climate change on sturgeon populations (Scaphirhynchus spp.) in the Missouri River. \r\n\r\nThe CERC is conducting laboratory, field, and modeling research to identify causative factors for the responses of fish populations to natural and human-induced environmental changes and using this information to understand sensitivity of sturgeon populations to potential climate change in the Missouri River drainage basin. Sturgeon response information is being used to parameterize models predicting future population trends. These models will provide a set of tools for natural resource managers to assess management strategies in the context of global climate change.\r\n\r\nThis research complements and builds on the ongoing Comprehensive Sturgeon Research Program (CSRP) at the CERC. The CSRP is designed to provide information critical to restoration of the Missouri River ecosystem and the endangered pallid sturgeon (S. albus). Current research is being funded by USGS through the National Climate Change Wildlife Science Center (NCCWSC) and the Science Support Partnership (SSP) Program that is held by the USGS and the U.S. Fish and Wildlife Service. The national mission of the NCCWSC is to improve the capacity of fish and wildlife agencies to respond to climate change and to address high-priority climate change effects on fish and wildlife. Within the national context, the NCCWSC research on the Missouri River focuses on temporal and spatial downscaling and associated uncertainty in modeling climate change effects on sturgeon species in the Missouri River. The SSP research focuses on improving survival and population estimates for pallid sturgeon population models.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103019","usgsCitation":"Wildhaber, M.L., 2010, Modeling Climate Change and Sturgeon Populations in the Missouri River: U.S. Geological Survey Fact Sheet 2010-3019, 2 p., https://doi.org/10.3133/fs20103019.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":265,"text":"Environmental Research Center","active":false,"usgs":true}],"links":[{"id":125544,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3019.jpg"},{"id":13593,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3019/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699542","contributors":{"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":305044,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98345,"text":"ofr20101089 - 2010 - Long-Billed Curlew Breeding Success on Mid-Columbia River National Wildlife Refuges, South-Central Washington and North-Central Oregon, 2007-08","interactions":[],"lastModifiedDate":"2012-02-02T00:14:35","indexId":"ofr20101089","displayToPublicDate":"2010-04-27T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1089","title":"Long-Billed Curlew Breeding Success on Mid-Columbia River National Wildlife Refuges, South-Central Washington and North-Central Oregon, 2007-08","docAbstract":"Long-billed curlew (Numenius americanus) reproductive success was evaluated on the Mid-Columbia River National Wildlife Refuges of south-central Washington and north-central Oregon during the 2007 and 2008 breeding seasons. Additionally, we assisted the U.S. Fish and Wildlife Service in collecting information on distribution, abundance, and brood habitat for this shorebird species of conservation concern. A total of 32 breeding pairs were located on the refuges in 2007 and 35 pairs were located in 2008. We monitored 17 nests in 2007 and 23 nests in 2008. Curlew pairs were most abundant on Hanford Reach National Monument in 2007 but more nests were located on Umatilla National Wildlife Refuge in both years, with Columbia National Wildlife Refuge supporting few pairs. Nest success was 23.6 percent in 2007 and 32.9 percent in 2008 after taking into account exposure time and combining data for all the refuges. We were unable to detect any relationship between nest success and habitat type or habitat variables measured. However, our study was the first to document use of agricultural fields on the refuge as curlew nest habitat. We collected 39 and 28 brood locations in 2007 and 2008, respectively, and many observations were likely resightings of the same brood. Broods used a similar variety of habitats as nesting curlew and no clear habitat use pattern was detected.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101089","usgsCitation":"Stocking, J., Elliott-Smith, E., Holcomb, N., and Haig, S.M., 2010, Long-Billed Curlew Breeding Success on Mid-Columbia River National Wildlife Refuges, South-Central Washington and North-Central Oregon, 2007-08: U.S. Geological Survey Open-File Report 2010-1089, iv, 28 p.; Appendices, https://doi.org/10.3133/ofr20101089.","productDescription":"iv, 28 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":193696,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13594,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1089/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63ece1","contributors":{"authors":[{"text":"Stocking, Jessica","contributorId":104167,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","affiliations":[],"preferred":false,"id":305048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott-Smith, Elise eelliott-smith@usgs.gov","contributorId":3645,"corporation":false,"usgs":true,"family":"Elliott-Smith","given":"Elise","email":"eelliott-smith@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":305046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holcomb, Neil","contributorId":10887,"corporation":false,"usgs":true,"family":"Holcomb","given":"Neil","email":"","affiliations":[],"preferred":false,"id":305047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":305045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227335,"text":"70227335 - 2010 - Separation, characterization and initial reaction studies of magnetite particles from Hanford sediments","interactions":[],"lastModifiedDate":"2022-01-10T15:55:57.025028","indexId":"70227335","displayToPublicDate":"2010-04-24T09:47:34","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3069,"text":"Physics and Chemistry of the Earth, Parts A/B/C","active":true,"publicationSubtype":{"id":10}},"title":"Separation, characterization and initial reaction studies of magnetite particles from Hanford sediments","docAbstract":"<p><span>Magnetic and density separation methods have been applied to composite sediment samples from the Hanford formation from sediment recovered during drilling of an uncontaminated borehole located near the 200 West Area of the Hanford Site in southeastern Washington State. This paper describes the results of using those separation methods and from the characterization and initial reactivity measurements on a highly magnetic fraction isolated from that sediment. X-ray diffraction (XRD) analysis of the highly magnetic sediment fraction indicates that this material contains predominantly magnetite (Fe</span><sub>3</sub><span>O</span><sub>4</sub><span>). Particle morphology observed by scanning electron microscopy (SEM) and compositions determined energy dispersive spectroscopy (EDS) are consistent with this identification. Analyses by X-ray photoelectron spectroscopy (XPS) indicates that there is a thin coating on the particles that are likely a type of aluminosilicate. This highly magnetic fraction of material is not reactive with indigo carmine, an organic redox probe molecule that was shown to readily react with synthetic magnetite. Because of the limited amounts of material readily available, initial tests have been conducted that demonstrate the ability to complete U(VI) sorption on individual particles (nominally ∼100</span><span>&nbsp;</span><span>μm in size) of the isolated sediment and to remove and mount these individual particles for analysis of the concentration and chemical state of the sorbed U species using small area XPS.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.pce.2010.04.010","usgsCitation":"Baer, D.R., Grosz, A., Ilton, E.S., Krupka, K.M., Liu, J., Penn, R.L., and Pepin, A., 2010, Separation, characterization and initial reaction studies of magnetite particles from Hanford sediments: Physics and Chemistry of the Earth, Parts A/B/C, v. 35, no. 6-8, p. 233-241, https://doi.org/10.1016/j.pce.2010.04.010.","productDescription":"9 p.","startPage":"233","endPage":"241","costCenters":[],"links":[{"id":394106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Hanford Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.8114013671875,\n              46.34123949998618\n            ],\n            [\n              -119.267578125,\n              46.34123949998618\n            ],\n            [\n              -119.267578125,\n              46.63765100682623\n            ],\n            [\n              -119.8114013671875,\n              46.63765100682623\n            ],\n            [\n              -119.8114013671875,\n              46.34123949998618\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"6-8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baer, D. R.","contributorId":271040,"corporation":false,"usgs":false,"family":"Baer","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":830501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosz, Andrew agrosz@usgs.gov","contributorId":4774,"corporation":false,"usgs":true,"family":"Grosz","given":"Andrew","email":"agrosz@usgs.gov","affiliations":[],"preferred":true,"id":830502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ilton, E. S.","contributorId":271041,"corporation":false,"usgs":false,"family":"Ilton","given":"E.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":830503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krupka, K. M.","contributorId":60772,"corporation":false,"usgs":false,"family":"Krupka","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":830505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Penn, R. L.","contributorId":271042,"corporation":false,"usgs":false,"family":"Penn","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":830506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pepin, A.","contributorId":271043,"corporation":false,"usgs":false,"family":"Pepin","given":"A.","email":"","affiliations":[],"preferred":false,"id":830507,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98343,"text":"gip91 - 2010 - Tsunami Preparedness in California (videos)","interactions":[],"lastModifiedDate":"2018-08-15T15:51:10","indexId":"gip91","displayToPublicDate":"2010-04-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"91","title":"Tsunami Preparedness in California (videos)","docAbstract":"Tsunamis are a constant threat to the coasts of our world. Although tsunamis are infrequent along the West coast of the United States, it is possible and necessary to prepare for potential tsunami hazards to minimize loss of life and property. Community awareness programs are important, as they strive to create an informed society by providing education and training. \r\n\r\nThese videos about tsunami preparedness in California distinguish between a local tsunami and a distant event and focus on the specific needs of each region. They offer guidelines for correct tsunami response and community preparedness from local emergency managers, first-responders, and leading experts on tsunami hazards and warnings, who have been working on ways of making the tsunami affected regions safer for the people and communities on a long-term basis. \r\n\r\nThese videos were produced by the U.S. Geological Survey (USGS) in cooperation with the California Emergency Management Agency (CalEMA) and Pacific Gas and Electric Company (PG&E). \r\n\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/gip91","collaboration":"In cooperation with California Emergency Management Agency and Pacific Gas and Electric Company\r\n","usgsCitation":"Loeffler, K., and Gesell, J., 2010, Tsunami Preparedness in California (videos): U.S. Geological Survey General Information Product 91, Three videos, three sound files: Northern California (GIP 91-A); Central Area and the San Francisco Bay Area (GIP 91-B); Southern California (GIP 91-C), https://doi.org/10.3133/gip91.","productDescription":"Three videos, three sound files: Northern California (GIP 91-A); Central Area and the San Francisco Bay Area (GIP 91-B); Southern California (GIP 91-C)","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":196683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13592,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gip/91/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db6241d2","contributors":{"authors":[{"text":"Loeffler, Kurt","contributorId":78434,"corporation":false,"usgs":false,"family":"Loeffler","given":"Kurt","affiliations":[],"preferred":false,"id":305043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gesell, Justine","contributorId":18475,"corporation":false,"usgs":true,"family":"Gesell","given":"Justine","email":"","affiliations":[],"preferred":false,"id":305042,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98341,"text":"sir20105052 - 2010 - Regional Regression Equations to Estimate Flow-Duration Statistics at Ungaged Stream Sites in Connecticut","interactions":[],"lastModifiedDate":"2017-11-10T18:52:18","indexId":"sir20105052","displayToPublicDate":"2010-04-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5052","title":"Regional Regression Equations to Estimate Flow-Duration Statistics at Ungaged Stream Sites in Connecticut","docAbstract":"Multiple linear regression equations for determining flow-duration statistics were developed to estimate select flow exceedances ranging from 25- to 99-percent for six 'bioperiods'-Salmonid Spawning (November), Overwinter (December-February), Habitat Forming (March-April), Clupeid Spawning (May), Resident Spawning (June), and Rearing and Growth (July-October)-in Connecticut. Regression equations also were developed to estimate the 25- and 99-percent flow exceedances without reference to a bioperiod. In total, 32 equations were developed. The predictive equations were based on regression analyses relating flow statistics from streamgages to GIS-determined basin and climatic characteristics for the drainage areas of those streamgages. Thirty-nine streamgages (and an additional 6 short-term streamgages and 28 partial-record sites for the non-bioperiod 99-percent exceedance) in Connecticut and adjacent areas of neighboring States were used in the regression analysis. Weighted least squares regression analysis was used to determine the predictive equations; weights were assigned based on record length. The basin characteristics-drainage area, percentage of area with coarse-grained stratified deposits, percentage of area with wetlands, mean monthly precipitation (November), mean seasonal precipitation (December, January, and February), and mean basin elevation-are used as explanatory variables in the equations.\r\n\r\nStandard errors of estimate of the 32 equations ranged from 10.7 to 156 percent with medians of 19.2 and 55.4 percent to predict the 25- and 99-percent exceedances, respectively. Regression equations to estimate high and median flows (25- to 75-percent exceedances) are better predictors (smaller variability of the residual values around the regression line) than the equations to estimate low flows (less than 75-percent exceedance). The Habitat Forming (March-April) bioperiod had the smallest standard errors of estimate, ranging from 10.7 to 20.9 percent. In contrast, the Rearing and Growth (July-October) bioperiod had the largest standard errors, ranging from 30.9 to 156 percent. The adjusted coefficient of determination of the equations ranged from 77.5 to 99.4 percent with medians of 98.5 and 90.6 percent to predict the 25- and 99-percent exceedances, respectively.\r\n\r\nDescriptive information on the streamgages used in the regression, measured basin and climatic characteristics, and estimated flow-duration statistics are provided in this report. Flow-duration statistics and the 32 regression equations for estimating flow-duration statistics in Connecticut are stored on the U.S. Geological Survey World Wide Web application ?StreamStats? (http://water.usgs.gov/osw/streamstats/index.html). The regression equations developed in this report can be used to produce unbiased estimates of select flow exceedances statewide.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105052","collaboration":"Prepared in cooperation with the Connecticut Department of Environmental Protection","usgsCitation":"Ahearn, E.A., 2010, Regional Regression Equations to Estimate Flow-Duration Statistics at Ungaged Stream Sites in Connecticut: U.S. Geological Survey Scientific Investigations Report 2010-5052, iv, 45 p., https://doi.org/10.3133/sir20105052.","productDescription":"iv, 45 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":118642,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5052.jpg"},{"id":13589,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5052/","linkFileType":{"id":5,"text":"html"}}],"projection":"Connecticut State Plane","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,40.5 ], [ -74,42.5 ], [ -71.16666666666667,42.5 ], [ -71.16666666666667,40.5 ], [ -74,40.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db614b9f","contributors":{"authors":[{"text":"Ahearn, Elizabeth A. 0000-0002-5633-2640 eaahearn@usgs.gov","orcid":"https://orcid.org/0000-0002-5633-2640","contributorId":194658,"corporation":false,"usgs":true,"family":"Ahearn","given":"Elizabeth","email":"eaahearn@usgs.gov","middleInitial":"A.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"preferred":false,"id":305038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98339,"text":"sir20095264 - 2010 - Field Surveys of Rare Plants on Santa Cruz Island, California, 2003-2006: Historical Records and Current Distributions","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095264","displayToPublicDate":"2010-04-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5264","title":"Field Surveys of Rare Plants on Santa Cruz Island, California, 2003-2006: Historical Records and Current Distributions","docAbstract":"Santa Cruz Island is the largest of the northern Channel Islands located off the coast of California. It is owned and managed as a conservation reserve by The Nature Conservancy and the Channel Islands National Park. The island is home to nine plant taxa listed in 1997 as threatened or endangered under the federal Endangered Species Act, because of declines related to nearly 150 years of ranching on the island. Feral livestock were removed from the island as a major conservation step, which was part of a program completed in early 2007 with the eradication of pigs and turkeys. For the first time in more than a century, the rare plants of Santa Cruz Island have a chance to recover in the wild. This study provides survey information and living plant materials needed for recovery management of the listed taxa. We developed a database containing information about historical collections of the nine taxa and used it to plan a survey strategy. Our objectives were to relocate as many of the previously known populations as possible, with emphasis on documenting sites not visited in several decades, sites that were poorly documented in the historical record, and sites spanning the range of environmental conditions inhabited by the taxa. From 2003 through 2006, we searched for and found 39 populations of the taxa, indicating that nearly 80 percent of the populations known earlier in the 1900s still existed. Most populations are small and isolated, occupying native-dominated habitat patches in a highly fragmented and invaded landscape; they are still at risk of declining through population losses. Most are not expanding beyond the edges of their habitat patches. However, most taxa appeared to have good seed production and a range of size classes in populations, indicating a good capacity for plant recruitment and population growth in these restricted sites. For these taxa, seed collection and outplanting might be a good strategy to increase numbers of populations for species recovery. Several taxa have particular problems evidenced by lack of fruit set, very small population sizes, or unstable habitats. We collected seeds of all but two taxa for seed banking, and live cuttings of two clonal shrubs for cultivation at the Santa Barbara Botanic Garden. The survey data, seeds and cuttings provide a baseline and a foundation for planning, conducting, and tracking recovery of the nine federally listed plant taxa of Santa Cruz Island.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095264","collaboration":"Prepared in cooperation with La Luna Biological Consulting","usgsCitation":"McEachern, A.K., Chess, K., and Niessen, K., 2010, Field Surveys of Rare Plants on Santa Cruz Island, California, 2003-2006: Historical Records and Current Distributions: U.S. Geological Survey Scientific Investigations Report 2009-5264, vi, 34 p., https://doi.org/10.3133/sir20095264.","productDescription":"vi, 34 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":118637,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5264.jpg"},{"id":13587,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5264/","linkFileType":{"id":5,"text":"html"}}],"projection":"UniversalTransverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.95,33.916666666666664 ], [ -119.95,34.083333333333336 ], [ -119.5,34.083333333333336 ], [ -119.5,33.916666666666664 ], [ -119.95,33.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fce4b07f02db5f59e7","contributors":{"authors":[{"text":"McEachern, A. Kathryn","contributorId":30165,"corporation":false,"usgs":true,"family":"McEachern","given":"A.","email":"","middleInitial":"Kathryn","affiliations":[],"preferred":false,"id":305033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chess, Katherine A.","contributorId":76778,"corporation":false,"usgs":true,"family":"Chess","given":"Katherine A.","affiliations":[],"preferred":false,"id":305034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niessen, Ken","contributorId":93590,"corporation":false,"usgs":true,"family":"Niessen","given":"Ken","email":"","affiliations":[],"preferred":false,"id":305035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98342,"text":"ofr20101072 - 2010 - Thermal Maturity Data Used by the U.S. Geological Survey for the U.S. Gulf Coast Region Oil and Gas Assessment","interactions":[],"lastModifiedDate":"2012-02-02T00:14:44","indexId":"ofr20101072","displayToPublicDate":"2010-04-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1072","title":"Thermal Maturity Data Used by the U.S. Geological Survey for the U.S. Gulf Coast Region Oil and Gas Assessment","docAbstract":"The U.S. Geological Survey is currently assessing the oil and natural gas resources of the U.S. Gulf of Mexico region using a total petroleum system approach. An essential part of this geologically based method is evaluating the effectiveness of potential source rocks in the petroleum system. The purpose of this report is to make available to the public RockEval and vitrinite reflectance data from more than 1,900 samples of Mesozoic and Tertiary rock core and coal samples in the Gulf of Mexico area in a format that facilitates inclusion into a geographic information system. These data provide parameters by which the thermal maturity, type, and richness of potential sources of oil and gas in this region can be evaluated. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101072","usgsCitation":"Dennen, K., Warwick, P.D., and McDade, E.C., 2010, Thermal Maturity Data Used by the U.S. Geological Survey for the U.S. Gulf Coast Region Oil and Gas Assessment: U.S. Geological Survey Open-File Report 2010-1072, Report: iii, 7 p.; Appendix (xls), https://doi.org/10.3133/ofr20101072.","productDescription":"Report: iii, 7 p.; Appendix (xls)","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118644,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1072.jpg"},{"id":13590,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1072/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4c32","contributors":{"authors":[{"text":"Dennen, Kristin O.","contributorId":61437,"corporation":false,"usgs":true,"family":"Dennen","given":"Kristin O.","affiliations":[],"preferred":false,"id":305041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":305039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDade, Elizabeth Chinn","contributorId":59899,"corporation":false,"usgs":true,"family":"McDade","given":"Elizabeth","email":"","middleInitial":"Chinn","affiliations":[],"preferred":false,"id":305040,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98340,"text":"sir20105061 - 2010 - Quality of groundwater at and near an aquifer storage and recovery site, Bexar, Atascosa, and Wilson Counties, Texas, June 2004-August 2008","interactions":[],"lastModifiedDate":"2022-12-15T21:04:55.299248","indexId":"sir20105061","displayToPublicDate":"2010-04-24T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5061","title":"Quality of groundwater at and near an aquifer storage and recovery site, Bexar, Atascosa, and Wilson Counties, Texas, June 2004-August 2008","docAbstract":"<p><span>The U.S. Geological Survey, in cooperation with the San Antonio Water System, did a study during 2004–08 to characterize the quality of native groundwater from the Edwards aquifer and pre- and post-injection water from the Carrizo aquifer at and near an aquifer storage and recovery (ASR) site in Bexar, Atascosa, and Wilson Counties, Texas. Groundwater samples were collected and analyzed for selected&nbsp;physical properties and constituents to characterize the quality of native groundwater from the Edwards aquifer and pre- and post-injection water from the Carrizo aquifer at and near the ASR site. Geochemical and isotope data indicated no substantial changes in major-ion, trace-element, and isotope chemistry occurred as the water from the Edwards aquifer was transferred through a 38-mile pipeline to the aquifer storage and recovery site. The samples collected from the four ASR recovery wells were similar in major-ion and stable isotope chemistry compared to the samples collected from the Edwards aquifer source wells and the ASR injection well. The similarity could indicate that as Edwards aquifer water was injected, it displaced native Carrizo aquifer water, or, alternatively, if mixing of Edwards and Carrizo aquifer waters was occurring, the major-ion and stable isotope signatures for the Carrizo aquifer water might have been obscured&nbsp;by the signatures of the injected Edwards aquifer water. Differences in the dissolved iron and dissolved manganese concentrations indicate that either minor amounts of mixing occurred between the waters from the two aquifers, or as Edwards aquifer water displaced Carrizo aquifer water it dissolved the iron and manganese directly from the Carrizo Sand. Concentrations of radium-226 in the samples collected at the ASR recovery wells were smaller than the concentrations in samples collected from the Edwards aquifer source wells and from the ASR injection well. The smaller radium-226 concentrations in the samples collected from the ASR recovery wells likely indicate some degree of mixing of the two waters occurred rather than continued decay of radium-226 in the injected water. Geochemical and isotope data measured in samples collected in May 2005 from two Carrizo aquifer monitoring wells and in July 2008 from the three ASR production-only wells in the northern section of the ASR site indicate that injected Edwards aquifer water had not migrated to these five sites. Geochemical and isotope data measured in samples collected from Carrizo aquifer wells in 2004, 2005, and 2008 were graphically analyzed to determine if changes in chemistry could be detected. Major-ion, trace element, and isotope chemistry varied spatially in the samples collected from the Carrizo aquifer. With the exception of a few samples, major-ion concentrations measured in samples collected in Carrizo aquifer wells in 2004, 2005, and 2008 were similar. A slightly larger sulfate con­centration and a slightly smaller bicarbonate concentration were measured in samples collected in 2005 and 2008 from well NC1 compared to samples collected at well NC1 in 2004. Larger sodium concentrations and smaller calcium, magnesium, bicarbonate, and sulfate concentrations were measured in samples collected in 2008 from well WC1 than in samples collected at this well in 2004 and 2005. Larger calcium and magnesium concentrations and a smaller sodium concentration were measured in the samples collected in 2008 at well EC2 compared to samples collected at this well in 2004 and 2005. While in some cases the computed percent differences (compared to concentrations from June 2004) in dissolved iron and dissolved manganese concentrations in 11 wells sampled in the Carrizo aquifer in 2005 and 2008 were quite large, no trends that might have been caused by migration of injected Edwards aquifer water were observed.&nbsp;Because of the natural variation in geochemical data in the Carrizo aquifer and the small data set collected for this study, differences in major-ion and trace element data among the samples collected in 2004, 2005 and 2008 cannot be directly attributed to the ASR site operations. When the data were analyzed graphically, no appreciable differences in isotope concentrations were observed between&nbsp;samples collected in 2004 and 2008 from Carrizo aquifer wells, indicating that the Edwards aquifer source water might not have affected the isotope chemistry of the native Carrizo aquifer water near the sampled Carrizo wells by July 2008.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105061","collaboration":"In cooperation with the San Antonio Water System","usgsCitation":"Otero, C.L., and Petri, B.L., 2010, Quality of groundwater at and near an aquifer storage and recovery site, Bexar, Atascosa, and Wilson Counties, Texas, June 2004-August 2008: U.S. Geological Survey Scientific Investigations Report 2010-5061, vii, 34 p., https://doi.org/10.3133/sir20105061.","productDescription":"vii, 34 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-06-01","temporalEnd":"2008-08-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":410578,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93056.htm","linkFileType":{"id":5,"text":"html"}},{"id":118640,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5061.jpg"},{"id":13588,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5061/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Atascosa County, Bexar County, Wilson County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.75,\n              28.905\n            ],\n            [\n              -98.75,\n              29.4742\n            ],\n            [\n              -98,\n              29.4742\n            ],\n            [\n              -98,\n              28.905\n            ],\n            [\n              -98.75,\n              28.905\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63f23d","contributors":{"authors":[{"text":"Otero, Cassi L.","contributorId":100469,"corporation":false,"usgs":true,"family":"Otero","given":"Cassi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petri, Brian L.","contributorId":64712,"corporation":false,"usgs":true,"family":"Petri","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":305036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118913,"text":"70118913 - 2010 - Evidence for a temperature acclimation mechanism in bacteria: an empirical test of a membrane-mediated trade-off","interactions":[],"lastModifiedDate":"2014-07-31T09:54:25","indexId":"70118913","displayToPublicDate":"2010-04-23T09:52:09","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for a temperature acclimation mechanism in bacteria: an empirical test of a membrane-mediated trade-off","docAbstract":"<p>1. Shifts in bacterial community composition along temporal and spatial temperature gradients occur in a wide range of habitats and have potentially important implications for ecosystem functioning. However, it is often challenging to empirically link an adaptation or acclimation that defines environmental niche or biogeography with a quantifiable phenotype, especially in micro-organisms.</p>\n<br/>\n<p>2. Here we evaluate a possible mechanistic explanation for shifts in bacterioplankton community composition in response to temperature by testing a previously hypothesized membrane mediated trade-off between resource acquisition and respiratory costs.</p>\n<br/>\n<p>3. We isolated two strains of <i>Flavobacterium</i> sp. at two temperatures (cold isolate and warm isolate) from the epilimnion of a small temperate lake in North Central Minnesota.</p>\n<br/>\n<p>4. Compared with the cold isolate the warm isolate had higher growth rate, higher carrying capacity, lower lag time and lower respiration at the high temperature and lower phosphorus uptake at the low temperature. We also observed significant differences in membrane lipid composition between isolates and between environments that were consistent with adjustments necessary to maintain membrane fluidity at different temperatures.</p>\n<br/>\n<p>5. Our results suggest that temperature acclimation in planktonic bacteria is, in part, a resource-dependent membrane-facilitated phenomenon. This study provides an explicit example of how a quantifiable phenotype can be linked through physiology to competitive ability and environmental niche.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Functional Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","publisherLocation":"Oxford, U.K.","doi":"10.1111/j.1365-2435.2010.01707.x","usgsCitation":"Hall, E.K., Singer, G.A., Kainz, M.J., and Lennon, J.T., 2010, Evidence for a temperature acclimation mechanism in bacteria: an empirical test of a membrane-mediated trade-off: Functional Ecology, v. 24, no. 4, p. 898-908, https://doi.org/10.1111/j.1365-2435.2010.01707.x.","productDescription":"11 p.","startPage":"898","endPage":"908","numberOfPages":"11","costCenters":[],"links":[{"id":291461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291460,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2435.2010.01707.x"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-13","publicationStatus":"PW","scienceBaseUri":"53db5842e4b0fba533fa3574","contributors":{"authors":[{"text":"Hall, Edward K. ehall@usgs.gov","contributorId":4837,"corporation":false,"usgs":true,"family":"Hall","given":"Edward","email":"ehall@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":497439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singer, Gabriel A.","contributorId":98654,"corporation":false,"usgs":true,"family":"Singer","given":"Gabriel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kainz, Martin J.","contributorId":38905,"corporation":false,"usgs":true,"family":"Kainz","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":497441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lennon, Jay T.","contributorId":38069,"corporation":false,"usgs":true,"family":"Lennon","given":"Jay","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497440,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175009,"text":"70175009 - 2010 - Avian botulism: a case study in translocated endangered Laysan ducks (<i>Anas laysanensis</i>) on Midway Atoll","interactions":[],"lastModifiedDate":"2018-01-04T12:56:52","indexId":"70175009","displayToPublicDate":"2010-04-22T14:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Avian botulism: a case study in translocated endangered Laysan ducks (<i>Anas laysanensis</i>) on Midway Atoll","docAbstract":"<p>Laysan Ducks are endemic to the Hawaiian archipelago and are one of the world&rsquo;s most endangered waterfowl. For 150 yr, Laysan Ducks were restricted to an estimated 4 km2 of land on Laysan Island in the northwestern Hawaiian Islands. In 2004 and 2005, 42 Laysan Ducks were translocated to Midway Atoll, and the population increased to approximately 200 by 2007. In August 2008, mortality due to botulism type C was identified, and 181 adult, fledgling, and duckling carcasses were collected from August to October. Diseased birds were found on two islands within Midway Atoll at multiple wetlands; however, one wetland contributed most carcasses. The epidemic was discovered approximately 14&ndash;21 days after the mortality started and lasted for 50 additional days. The details of this epidemic highlight the disease risk to birds restricted to small island populations and the challenges associated with managing newly translocated endangered species. Frequent population monitoring for early disease detection and comprehensive wetland monitoring and management will be needed to manage avian botulism in endangered Laysan Ducks. Vaccination may also be beneficial to reduce mortality in this small, geographically closed population.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-46.2.499","usgsCitation":"Work, T.M., Klavitter, J.L., Reynolds, M.H., and Blehert, D., 2010, Avian botulism: a case study in translocated endangered Laysan ducks (<i>Anas laysanensis</i>) on Midway Atoll: Journal of Wildlife Diseases, v. 46, no. 2, p. 499-506, https://doi.org/10.7589/0090-3558-46.2.499.","productDescription":"7 p.","startPage":"499","endPage":"506","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014166","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":325660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579889b2e4b0589fa1c6ba2b","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":643589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klavitter, John L.","contributorId":23847,"corporation":false,"usgs":true,"family":"Klavitter","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":643590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":643591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":643592,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98336,"text":"ofr20101081 - 2010 - Nitrogen Loads in Groundwater Entering Back Bays and Ocean from Fire Island National Seashore, Long Island, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20101081","displayToPublicDate":"2010-04-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1081","title":"Nitrogen Loads in Groundwater Entering Back Bays and Ocean from Fire Island National Seashore, Long Island, New York","docAbstract":"Fire Island is a barrier island that lies south of central Long Island, N.Y. It is about 60 km (37 mi) long and 0.5 km (1/4 mi) wide and is bounded by the Great South Bay, Narrow Bay, and Moriches Bay estuaries to the north; by the Atlantic Ocean to the south; by Fire Island Inlet to the west; and by Moriches Inlet to the east (fig. 1). Fire Island National Seashore (FIIS) encompasses a 42-km (26-mi) length of Fire Island that is bordered by Robert Moses State Park to the west and Smith Point County Park to the east (fig. 2). Interspersed throughout FIIS are 17 residential beach communities that together contain about 4,100 homes.\r\n\r\nThe barrier island's summer population increases 50-fold through the arrival of summer residents and vacationers. The National Park Service (NPS) has established several facilities on the island to accommodate visitors to FIIS. About 2.2 million people visit at least one of the 17 communities and (or) Smith Point County Park, the waterways surrounding Fire Island, or a FIIS facility annually (National Park Service, 2007). Combined visitation on a peak-season weekend day can be as high as 100,000 (National Park Service, 2002).\r\n\r\nMost homes and businesses in the 17 barrier-island communities discharge untreated wastewater directly to the shallow (water-table) aquifer through private septic systems and cesspools; the NPS facilities discharge wastewater to this aquifer through leach fields and cesspools. (The community of Ocean Beach (fig. 2) has a treatment plant that discharges to tidewater.) Contaminants in sewage entering the shallow groundwater move through the flow system and are ultimately discharged to adjacent marine surface waters, where they can pose a threat to coastal habitats. A contaminant of major concern is nitrogen, which is derived from fertilizers and human waste. The continuous inflow of nitrogen to surface-water bodies can lead to increased production of phytoplankton and macroalgae, which in turn can cause oxygen depletion, decreases in size of estuarine fish and shellfish communities, and loss of submerged seagrass habitat through light limitation (Valiela and others, 1992).\r\n\r\nThe FIIS boundary extends roughly 1.2 km (0.8 mi) into the back-barrier estuaries of Great South Bay, Narrow Bay, and Moriches Bay (fig. 1). Within this estuarine zone are extensive areas of seagrass, shellfish, and finfish habitat, as well as intense recreational activity (Bokuniewicz and others, 1993). Management strategies for protection of these habitats require data on (1) concentrations and movement of nutrients and other human-derived contaminants that enter the groundwater system from on-site septic systems, and (2) aquifer characteristics and groundwater flow patterns. These data can then be used in three-dimensional flow models of the shallow aquifer system to predict the rates of groundwater discharge to the marine surface waters that bound Fire Island and the concentrations of nitrogen entering these water bodies from the aquifer's discharge zones.\r\n\r\nIn 2004, the U.S. Geological Survey (USGS), in cooperation with the NPS, began a 3-year investigation to (1) measure groundwater levels within four local study areas at FIIS, (2) collect groundwater samples from these areas for nutrient (nitrogen) analysis, (3) develop a three-dimensional model of the hydrologic system and adjacent saltwater bodies for groundwater-flow delineation and particle tracking, and (4) apply the results of groundwater-discharge simulations to calculate the annual nitrogen loads in these discharges, particularly those entering Great South Bay, which together with the other back bays receives an estimated 80 percent of the total groundwater discharge from Fire Island.\r\n\r\nThe four areas on which the investigation focused were the communities of Kismet and Robbins Rest, the NPS Visitor Center at Watch Hill, and the undeveloped Otis Pike Fire Island High Dune Wilderness (shown in panels A, B, C, and D in fig. 2); these were","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101081","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Schubert, C., deVries, M.P., and Finch, A.J., 2010, Nitrogen Loads in Groundwater Entering Back Bays and Ocean from Fire Island National Seashore, Long Island, New York: U.S. Geological Survey Open-File Report 2010-1081, 16 p., https://doi.org/10.3133/ofr20101081.","productDescription":"16 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":125893,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1081.jpg"},{"id":13584,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1081/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.33333333333333,40.53333333333333 ], [ -73.33333333333333,40.85 ], [ -72.76666666666667,40.85 ], [ -72.76666666666667,40.53333333333333 ], [ -73.33333333333333,40.53333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629c59","contributors":{"authors":[{"text":"Schubert, Christopher 0000-0003-0705-3933 schubert@usgs.gov","orcid":"https://orcid.org/0000-0003-0705-3933","contributorId":1243,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":305026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"deVries, M. Peter pdevries@usgs.gov","contributorId":1555,"corporation":false,"usgs":true,"family":"deVries","given":"M.","email":"pdevries@usgs.gov","middleInitial":"Peter","affiliations":[],"preferred":true,"id":305027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finch, Anne J.","contributorId":102494,"corporation":false,"usgs":true,"family":"Finch","given":"Anne","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305028,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98337,"text":"sir20105034 - 2010 - Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992-2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20105034","displayToPublicDate":"2010-04-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5034","title":"Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992-2007","docAbstract":"A method was developed to estimate annual atrazine use during 1992 to 2007 on sixteen crops and four agricultural land uses. For each year, atrazine use was estimated for all counties in the conterminous United States (except California) by combining (1) proprietary data from the Doane Marketing Research-Kynetec (DMRK) AgroTrak database on the mass of atrazine applied to agricultural crops, (2) county harvested crop acreage, by county, from the 1992, 1997, 2002, and 2007 Censuses of Agriculture, and (3) annual harvested crop acreage from National Agriculture Statistics Service (NASS) for non-Census years. DMRK estimates of pesticide use on individual crops were derived from surveys of major field crops and selected specialty crops in multicounty areas referred to as Crop Reporting Districts (CRD). The CRD-level atrazine-use estimates were disaggregated to obtain county-level application rates by dividing the mass (pounds) of pesticides applied to a crop by the acreage of that crop in the CRD to yield a rate per harvested acre. When atrazine-use estimates were not available for a CRD, crop, or year, an estimated rate was developed following a hierarchy of decision rules that checked first for the availability of a crop application rate from surveyed atrazine application rate(s) for adjacent CRDs for a specific year, and second, the rates from surveyed CRDs within for U.S. Department of Agriculture Farm Production Regions for a specific year or multiple years. The estimation method applied linear interpolation to estimate crop acreage for years when harvested acres for a crop and county were not reported in either the Census of Agriculture or the NASS database, but were reported by these data sources for other years for that crop and county. Data for atrazine use for the counties in California was obtained from farmers' reports of pesticide use collected and published by the California Department of Pesticide Regulation-Pesticide Use Reporting (DPR-PUR) because these data are more complete than DMRK survey data. National and state annual atrazine-use totals derived by this method were compared with other published pesticide-use estimates and were highly correlated. The method developed is designed to be applicable to other pesticides for which there are similar data; however, for some pesticides that are applied to specialty crops, fewer surveys are usually available to estimate application rates and there are a greater number of years with unreported crop acreage, potentially resulting in greater uncertainty in use ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105034","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Thelin, G.P., and Stone, W.W., 2010, Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992-2007: U.S. Geological Survey Scientific Investigations Report 2010-5034, viii, 29 p.; Tables; Appendixes, https://doi.org/10.3133/sir20105034.","productDescription":"viii, 29 p.; Tables; Appendixes","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":125895,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5034.jpg"},{"id":13585,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5034/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624848","contributors":{"authors":[{"text":"Thelin, Gail P.","contributorId":75178,"corporation":false,"usgs":true,"family":"Thelin","given":"Gail","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":305030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":305029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98338,"text":"ofr20101063 - 2010 - Digital tabulation of geologic and hydrologic data from wells in the northern San Francisco Bay region, northern California","interactions":[],"lastModifiedDate":"2022-06-28T21:40:25.068848","indexId":"ofr20101063","displayToPublicDate":"2010-04-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1063","title":"Digital tabulation of geologic and hydrologic data from wells in the northern San Francisco Bay region, northern California","docAbstract":"Downhole lithologic information and aquifer pumping test data are reported from 464 wells from a broad area of the northern part of the Coast Ranges in California. These data were originally published in paper form as numerous tables within three USGS Water-Supply Papers describing geology and groundwater conditions in Napa and Sonoma Valleys, the Santa Rosa and Petaluma Valley areas, and in the Russian River Valley and areas in Sonoma and Mendocino Counties, Calif. The well data are compiled in this report in digital form suitable for use in a digital mapping environment. These data, although mostly from relatively shallow water wells, provide important subsurface information that displays the disposition and facies transition of lithologic units throughout this broad area. Well lithologic data themselves and simple three-dimensional interpolation of those data show distinct spatial patterns that are linked to subsurface stratigraphy and structure and can be used to aid in the assessment of the groundwater resources.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101063","usgsCitation":"Sweetkind, D.S., and Taylor, E.M., 2010, Digital tabulation of geologic and hydrologic data from wells in the northern San Francisco Bay region, northern California: U.S. Geological Survey Open-File Report 2010-1063, Report: iv, 17.; Appendixes; 1 Plate: 42.0 x 33.0 inches, https://doi.org/10.3133/ofr20101063.","productDescription":"Report: iv, 17.; Appendixes; 1 Plate: 42.0 x 33.0 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":402654,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92518.htm","linkFileType":{"id":5,"text":"html"}},{"id":13586,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1063/","linkFileType":{"id":5,"text":"html"}},{"id":125894,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1063.jpg"}],"country":"United States","state":"California","otherGeospatial":"northern San Francisco Bay region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.958984375,\n              37.97018468810549\n            ],\n            [\n              -121.5087890625,\n              37.97018468810549\n            ],\n            [\n              -121.5087890625,\n              39.26628442213066\n            ],\n            [\n              -122.958984375,\n              39.26628442213066\n            ],\n            [\n              -122.958984375,\n              37.97018468810549\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d5c7","contributors":{"authors":[{"text":"Sweetkind, D. S.","contributorId":61507,"corporation":false,"usgs":true,"family":"Sweetkind","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":305032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, E. M.","contributorId":55842,"corporation":false,"usgs":true,"family":"Taylor","given":"E.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":305031,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003440,"text":"70003440 - 2010 - Influence of tidal range on the stability of coastal marshland","interactions":[],"lastModifiedDate":"2021-02-16T16:51:31.79513","indexId":"70003440","displayToPublicDate":"2010-04-21T11:50:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Influence of tidal range on the stability of coastal marshland","docAbstract":"<p><span>Early comparisons between rates of vertical accretion and sea level rise across marshes in different tidal ranges inspired a paradigm that marshes in high tidal range environments are more resilient to sea level rise than marshes in low tidal range environments. We use field‐based observations to propose a relationship between vegetation growth and tidal range and to adapt two numerical models of marsh evolution to explicitly consider the effect of tidal range on the response of the marsh platform channel network system to accelerating rates of sea level rise. We find that the stability of both the channel network and vegetated platform increases with increasing tidal range. Our results support earlier hypotheses that suggest enhanced stability can be directly attributable to a vegetation growth range that expands with tidal range. Accretion rates equilibrate to the rate of sea level rise in all experiments regardless of tidal range, suggesting that comparisons between accretion rate and tidal range will not likely produce a significant relationship. Therefore, our model results offer an explanation to widely inconsistent field‐based attempts to quantify this relationship while still supporting the long‐held paradigm that high tidal range marshes are indeed more stable.</span></p>","language":"English","publisher":"American Geophysical Union","usgsCitation":"Kirwan, M., and Guntenspergen, G.R., 2010, Influence of tidal range on the stability of coastal marshland: Journal of Geophysical Research, v. 115, no. F2, 11 p.","productDescription":"11 p.","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":383287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"F2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b90e4b0c8380cd6264d","contributors":{"authors":[{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":347299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347298,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98334,"text":"tm2A10 - 2010 - A Natural History Summary and Survey Protocol for the Southwestern Willow Flycatcher","interactions":[],"lastModifiedDate":"2012-02-02T00:15:02","indexId":"tm2A10","displayToPublicDate":"2010-04-21T00:00:00","publicationYear":"2010","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-A10","title":"A Natural History Summary and Survey Protocol for the Southwestern Willow Flycatcher","docAbstract":"The Southwestern Willow Flycatcher (Empidonax traillii extimus) has been the subject of substantial research, monitoring, and management activity since it was listed as an endangered species in 1995. When proposed for listing in 1993, relatively little was known about the flycatcher's natural history, and there were only 30 known breeding sites supporting an estimated 111 territories rangewide (Sogge and others, 2003a). Since that time, thousands of presence/absences surveys have been conducted throughout the historical range of the flycatcher, and many studies of its natural history and ecology have been completed. As a result, the ecology of the flycatcher is much better understood than it was just over a decade ago. In addition, we have learned that the current status of the flycatcher is better than originally thought: as of 2007, the population was estimated at approximately 1,300 territories distributed among approximately 280 breeding sites (Durst and others, 2008a). \r\n\r\nConcern about the Southwestern Willow Flycatcher on a rangewide scale was brought to focus by Unitt (1987), who described declines in flycatcher abundance and distribution throughout the Southwest. E. t. extimus populations declined during the 20th century, primarily because of habitat loss and modification from activities, such as dam construction and operation, groundwater pumping, water diversions, and flood control. In 1991, the U.S. Fish and Wildlife Service (USFWS) designated the Southwestern Willow Flycatcher as a candidate category 1 species (U.S. Fish and Wildlife Service, 1991). In July 1993, the USFWS proposed to list E. t. extimus as an endangered species and to designate critical habitat under the Act (U.S. Fish and Wildlife Service, 1993). A final rule listing E. t. extimus as endangered was published in February 1995 (U.S. Fish and Wildlife Service, 1995); critical habitat was designated in 1997 (U.S. Fish and Wildlife Service, 1997). The USFWS Service released a Recovery Plan for the Southwestern Willow Flycatcher in 2002 (U.S. Fish and Wildlife Service, 2002), and re-designated critical habitat in 2005 (U.S. Fish and Wildlife Service, 2005). \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/tm2A10","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the U.S. Fish and Wildlife Service","usgsCitation":"Sogge, M.K., Water Resources Division, U.S. Geological Survey, Ahlers, D., Bureau of Reclamation, Sferra, S.J., and U.S. Fish and Wildlife Service, 2010, A Natural History Summary and Survey Protocol for the Southwestern Willow Flycatcher: U.S. Geological Survey Techniques and Methods 2-A10, Report: iv, 38 p.; Appendices (doc, PDF, xls)  , https://doi.org/10.3133/tm2A10.","productDescription":"Report: iv, 38 p.; Appendices (doc, PDF, xls)  ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_2_a10.jpg"},{"id":13583,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm2a10/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd495de4b0b290850ef1a7","contributors":{"authors":[{"text":"Sogge, Mark K. 0000-0002-8337-5689 mark_sogge@usgs.gov","orcid":"https://orcid.org/0000-0002-8337-5689","contributorId":3710,"corporation":false,"usgs":true,"family":"Sogge","given":"Mark","email":"mark_sogge@usgs.gov","middleInitial":"K.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":305020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahlers, Darrell","contributorId":68428,"corporation":false,"usgs":true,"family":"Ahlers","given":"Darrell","affiliations":[],"preferred":false,"id":305024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bureau of Reclamation","contributorId":127878,"corporation":true,"usgs":false,"organization":"Bureau of Reclamation","id":535024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sferra, Susan J.","contributorId":57964,"corporation":false,"usgs":true,"family":"Sferra","given":"Susan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"U.S. Fish and Wildlife Service","contributorId":128143,"corporation":true,"usgs":false,"organization":"U.S. Fish and Wildlife Service","id":535026,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98333,"text":"sir20105014 - 2010 - Potentiometric Surfaces and Water-Level Trends in the Cockfield (Upper Claiborne) and Wilcox (Lower Wilcox) Aquifers of Southern and Northeastern Arkansas, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"sir20105014","displayToPublicDate":"2010-04-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5014","title":"Potentiometric Surfaces and Water-Level Trends in the Cockfield (Upper Claiborne) and Wilcox (Lower Wilcox) Aquifers of Southern and Northeastern Arkansas, 2009","docAbstract":"Eocene-age sand beds near the base of the Cockfield Formation of Claiborne Group constitute the aquifer known locally as the Cockfield aquifer. Upper-Paleocene age sand beds within the lower parts of the Wilcox Group constitute the aquifer known locally as the Wilcox aquifer. In 2005, reported water withdrawals from the Cockfield aquifer in Arkansas totaled 16.1 million gallons per day, while reported water withdrawals from the Wilcox aquifer in Arkansas totaled 27.0 million gallons per day. Major withdrawals from these units were for industrial and public water supplies with lesser but locally important withdrawals for commercial, domestic, and agricultural uses. \r\n\r\nDuring February 2009, 56 water-level measurements were made in wells completed in the Cockfield aquifer and 57 water-level measurements were made in wells completed in the Wilcox aquifer. The results from the 2009 water-level measurements are presented in potentiometric-surface maps and in combination with previous water-level measurements. \r\n\r\nTrends in water-level change over time within the two aquifers are investigated using water-level difference maps and well hydrographs. Water-level difference maps were constructed for each aquifer using the difference between depth to water measurements made in 2003 to 2009. Well hydrographs for each aquifer were constructed for wells with 20 or more years of historical water-level data. The hydrographs were evaluated individually using linear regression to calculate the annual rise or decline in water levels, and by aggregating the regression results by county and statistically summarizing for the range, mean, and median water-level change in each county.\r\n\r\nThe 2009 potentiometric surface of the Cockfield aquifer map indicates the regional direction of groundwater flow generally towards the east and southeast, except in two areas of intense groundwater withdrawals that have developed into cones of depression. The lowest water-level altitude measured was 43 feet and the highest water-level altitude measured was 351 feet. \r\n\r\nA water-level difference map was constructed from 54 wells completed in the Cockfield aquifer within Arkansas. The largest rise in water level was 14.9 feet and the largest decline was 27.4 feet. Seven wells had a rise in water level, and the remaining 47 wells had a decline in water level. \r\n\r\nHydrographs for 33 wells completed in the Cockfield aquifer were developed. Hydrographs indicate water-level changes in individual wells ranged from rises of 0.33 feet per year to declines of 1.21 feet per year over the 20-year period (1990-2009). County summaries of the linear regression analysis indicate Cleveland and Columbia Counties have mean annual rises. Arkansas, Ashley, Bradley, Calhoun, Chicot, Desha, Drew, Lincoln, and Union Counties have mean annual declines. \r\n\r\nThe potentiometric surface for the Wilcox aquifer is presented using two maps, one for a southern area and another for a northeastern area, because of the absence of water-level data in the central part of the State. The direction of groundwater flow in the southern area is generally the east, except around two cones of depression and around two mounds of elevated water levels. Water-level altitudes in the southern area range from 147 feet to 400 feet. The direction of groundwater flow in the northeastern area is generally to the south and southeast except in an area of intense groundwater withdrawals that has altered the flow to a westerly direction.\r\n\r\nTwo water-level difference maps were constructed using water-level altitudes measured in 2003 to 2009 from 53 wells completed in the Wilcox aquifer within southern and northeastern Arkansas. In the southern area the largest rise in water level was 16.0 feet and the largest decline was 17.7 feet. Eight wells in the southern area had rising water levels and the remaining five wells had declining water levels. In the northeastern area, the largest rise in water level was 1.3 feet and the larg","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105014","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Pugh, A., 2010, Potentiometric Surfaces and Water-Level Trends in the Cockfield (Upper Claiborne) and Wilcox (Lower Wilcox) Aquifers of Southern and Northeastern Arkansas, 2009: U.S. Geological Survey Scientific Investigations Report 2010-5014, v, 47 p. , https://doi.org/10.3133/sir20105014.","productDescription":"v, 47 p. ","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":118633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5014.jpg"},{"id":13582,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5014/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.7,33 ], [ -94.7,36.5 ], [ -89.68333333333334,36.5 ], [ -89.68333333333334,33 ], [ -94.7,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a1ae4b07f02db606677","contributors":{"authors":[{"text":"Pugh, Aaron L. apugh@usgs.gov","contributorId":2480,"corporation":false,"usgs":true,"family":"Pugh","given":"Aaron L.","email":"apugh@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305019,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70236427,"text":"70236427 - 2010 - Payload-directed control of geophysical magnetic surveys","interactions":[],"lastModifiedDate":"2022-09-06T19:54:21.681001","indexId":"70236427","displayToPublicDate":"2010-04-20T14:29:17","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Payload-directed control of geophysical magnetic surveys","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"AIAA Infotech@Aerospace 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"AIAA Infotech@Aerospace 2010","conferenceDate":"April 20-22, 2010","conferenceLocation":"Atlanta, Georgia, United States","language":"English","publisher":"American Institute of Aeronautics and Astronautics","doi":"10.2514/6.2010-3345","usgsCitation":"Lee, R., Yeh, Y., Ippolito, C., Spritzer, J., and Phelps, G., 2010, Payload-directed control of geophysical magnetic surveys, <i>in</i> AIAA Infotech@Aerospace 2010, Atlanta, Georgia, United States, April 20-22, 2010, p. 1-18, https://doi.org/10.2514/6.2010-3345.","productDescription":"3345, 18 p.","startPage":"1","endPage":"18","costCenters":[],"links":[{"id":489811,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20100027528","text":"External Repository"},{"id":406264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Ritchie","contributorId":296239,"corporation":false,"usgs":false,"family":"Lee","given":"Ritchie","email":"","affiliations":[{"id":34272,"text":"Carnegie Mellon University Silicon Valley Campus","active":true,"usgs":false}],"preferred":false,"id":850983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeh, Yoo-Hsiu","contributorId":296240,"corporation":false,"usgs":false,"family":"Yeh","given":"Yoo-Hsiu","email":"","affiliations":[{"id":34272,"text":"Carnegie Mellon University Silicon Valley Campus","active":true,"usgs":false}],"preferred":false,"id":850984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ippolito, C.","contributorId":47686,"corporation":false,"usgs":true,"family":"Ippolito","given":"C.","email":"","affiliations":[],"preferred":false,"id":850985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spritzer, John jspritzer@usgs.gov","contributorId":5335,"corporation":false,"usgs":true,"family":"Spritzer","given":"John","email":"jspritzer@usgs.gov","affiliations":[],"preferred":true,"id":850986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209979,"text":"70209979 - 2010 - Holocene stratigraphy and chronology of the Casper Dune Field, Casper, Wyoming, USA","interactions":[],"lastModifiedDate":"2020-05-07T17:58:02.635462","indexId":"70209979","displayToPublicDate":"2010-04-20T12:52:34","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1905,"text":"Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Holocene stratigraphy and chronology of the Casper Dune Field, Casper, Wyoming, USA","docAbstract":"<p><span>Activation chronologies of dune fields within the North American Great Plains are significant sources of paleoclimate information. Although many regional chronologies exist, several dune fields have been understudied, including the Casper Dune Field of central Wyoming. This study investigated aeolian dune sediment and buried soils of the Casper Dune Field. Complex parabolic and hairpin parabolic dunes dominate the eastern dune field, while simple parabolic and linear dunes dominate the western dune field. Buried soils are found throughout the dune field, though their distribution and degree of development varies. Buried soils in the eastern dune field are weakly developed with typical A-C profiles, whereas soils in the western dune field typically exhibit A-Bt-C profiles. Optically stimulated luminescence (OSL) and radiocarbon ages were used to provide a chronology of dune field activation that spans most of the Holocene. At the onset of the Holocene, alluvium was deposited first, followed by widespread dune activity ~ 10.0—6.2 ka. Following activity, the dune field stabilized until about 4.1 ka. During this stabilization period, however, reactivation occurred in at least one locality within the dune field at 5.1 ka. Subsequent aeolian activity occurred at 4.1 ka and between 1.0 ka and 0.4 ka. The resulting activation chronology is compared with those obtained from elsewhere in Wyoming and from other west-central Great Plains dune fields.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/0959683610362812","usgsCitation":"Halfen, A.F., Fredlund, G.G., and Mahan, S.A., 2010, Holocene stratigraphy and chronology of the Casper Dune Field, Casper, Wyoming, USA: Holocene, v. 20, no. 5, p. 773-783, https://doi.org/10.1177/0959683610362812.","productDescription":"11 p.","startPage":"773","endPage":"783","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":374546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","city":"Caspar","otherGeospatial":"Caspar Dune Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.028564453125,\n              42.71473218539458\n            ],\n            [\n              -104.1888427734375,\n              42.71473218539458\n            ],\n            [\n              -104.1888427734375,\n              43.92559366355069\n            ],\n            [\n              -108.028564453125,\n              43.92559366355069\n            ],\n            [\n              -108.028564453125,\n              42.71473218539458\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Halfen, Alan F.","contributorId":224604,"corporation":false,"usgs":false,"family":"Halfen","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":788676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredlund, G. G.","contributorId":53568,"corporation":false,"usgs":true,"family":"Fredlund","given":"G.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":788677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788678,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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