The Agnesi quadrangle (V–45), named for centrally located Agnesi crater, encompasses approximately 6,500,000 km2 extending from lat 25° to 50° S. and from long 30° to 60° E. The V–45 quadrangle lies within Venus’ lowland broadly between highlands Ovda Regio to the northeast and Alpha Regio to the west. The region ranges in altitude from 6,051 to 6,054 km, with an average of ~6,052 km, which is essentially mean planetary radius. The quadrangle displays a wide range of features including large to small arcuate exposures of ribbon-tessera terrain (Hansen and Willis, 1998), ten lowland coronae, two montes, 13 pristine impact craters, and long but localized volcanic flows sourced to the west in V–44. Shield terrain (Hansen, 2005) occurs across much of the V–45 quadrangle. Although V–45 lies topographically within the lowland, it includes only one planitia (Fonueha Planitia), perhaps because the features mentioned decorate it.
\nGeologic mapping of the Agnesi quadrangle (V–45) provides an opportunity (1) to examine the nature of lowland ribbon-tessera terrain, as compared to highland ribbon-tessera terrain; (2) to examine the nature and history of lowland coronae and montes to evaluate hypotheses for the evolution of these features; and (3) to evaluate global catastrophic/episodic resurfacing hypotheses.
\nRibbon-tessera terrain (Hansen and Willis, 1998), a structurally distinctive terrain marked by roughly orthogonal fold axes and ribbon troughs, characterizes Venusian crustal plateaus (Hansen and others, 1999), although this distinctive fabric is also variably preserved across some lowland regions (Hansen and Willis, 1996, 1998), including the Agnesi quadrangle. Isolated kipukas of ribbon-tessera terrain protrude through the shield-terrain veneer and preserve evidence of local surface processes that predated shield-terrain emplacement, including those leading to regional development of tessera terrain fabrics. The ribbon-tessera fabrics are similar to the fabrics that characterize high-standing crustal plateaus, such as nearby Ovda and Alpha Regiones. Ribbon-bearing kipukas may preserve evidence of ancient collapsed crustal plateaus (Phillips and Hansen, 1994; Ivanov and Head, 1996; Hansen and Willis, 1998; Ghent and Tibuleac, 2002), or they may record different, but rheologically similar, processes.
\nGeologic mapping of the V–45 quadrangle constrains the geologic history of 12 lowland coronae and montes. Lowland coronae are relatively rare (10% of coronae); they do not form chains, typical of mesoland coronae (Phillips and Hansen, 1994), nor do they cluster, typical of highland coronae associated with volcanic rises (Stofan and others, 2001). The evolution of all coronae, whether by a single mechanism or a range of mechanisms, is a topic of debate (for example, Stofan and others, 1992, 2001; Vita-Finzi and others, 2005; Hamilton, 2005). The V–45 quadrangle hosts about 20 percent of the lowland coronae on Venus; the geologic history of these features should provide critical insight toward understanding coronae evolution.
\nTwo general classes of hypotheses have emerged to address the near random spatial distribution of ~970 apparently pristine impact craters across the surface of Venus: (1) catastrophic/episodic resurfacing and (2) equilibrium/evolutionary resurfacing. Catastrophic/episodic hypotheses propose that a global-scale, temporally punctuated event or events dominated Venus’ evolution and that the generally uniform impact crater distribution (Schaber and others, 1992; Phillips and others, 1992; Herrick and others, 1997) reflects craters that accumulated during relative global quiescence since that event (for example, Strom and others, 1994; Herrick, 1994; Turcotte and others, 1999). Equilibrium/evolutionary hypotheses suggest instead that the near random crater distribution results from relatively continuous, but spatially localized, resurfacing in which volcanic and (or) tectonic processes occur across the planet through time, although the style of operative processes may have varied temporally and spatially (for example, Phillips and others, 1992; Guest and Stofan, 1999; Hansen and Young, 2007). Geologic relations within the map area allow us to test the catastrophic/episodic versus equilibrium/evolutionary resurfacing hypotheses.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3250","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Hansen, V.L., and Tharalson, E.R., 2014, Geologic map of the Agnesi quadrangle (V-45), Venus: U.S. Geological Survey Scientific Investigations Map 3250, Map: 45.42 x 38.42 inches; Pamphlet: i, 22 p., https://doi.org/10.3133/sim3250.","productDescription":"Map: 45.42 x 38.42 inches; Pamphlet: i, 22 p.","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-025666","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":438732,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MRI3CI","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3250 Geologic Map of the Agnesi Quadrangle (V-45), Venus"},{"id":298010,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3250.gif"},{"id":298003,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3250/"},{"id":298009,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3250/downloads/sim3250_pamphlet.pdf","text":"Pamphlet","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":298008,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3250/downloads/sim3250_map.pdf","text":"Map","size":"59.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Map"},{"id":405393,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/P9MRI3CI","text":"Interactive map","description":"Hansen, V.L., and Tharalson, E.R., 2014, Geologic map of the Agnesi quadrangle (V-45), Venus: U.S. Geological Survey Scientific Investigations Map 3250, scale 1:5,000,000, pamphlet 22 p., https://dx.doi.org/10.3133/sim3250.","linkHelpText":"- Geologic Map of the Agnesi Quadrangle (V-45), Venus, 1:5M. Hansen and Tharalson (2014)"}],"scale":"4711886","projection":"Lambert Projection","otherGeospatial":"Venus","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7b1e4b02d776a669e9f","contributors":{"authors":[{"text":"Hansen, Vicki L.","contributorId":101238,"corporation":false,"usgs":false,"family":"Hansen","given":"Vicki","email":"","middleInitial":"L.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":540719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tharalson, Erik R.","contributorId":139305,"corporation":false,"usgs":false,"family":"Tharalson","given":"Erik","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":540718,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157479,"text":"70157479 - 2014 - Late 20th Century benthic foraminiferal distribution in Central San Francisco Bay, California: Influence of the Trochammina hadai invasion","interactions":[],"lastModifiedDate":"2019-11-12T11:50:09","indexId":"70157479","displayToPublicDate":"2015-01-28T18:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Late 20th Century benthic foraminiferal distribution in Central San Francisco Bay, California: Influence of the Trochammina hadai invasion","docAbstract":"The distribution of foraminifera in most of San Francisco Bay is well documented, but this is not the case for the subembayment known as Central Bay. To resolve this, 55 grab samples obtained in 1998 were analyzed to characterize the foraminiferal fauna in the surface sediments of the area. Thirty-five species were identified, including the invasive Japanese species Trochammina hadai that was introduced into the bay in the early 1980s. A cluster analysis of the samples from Central Bay produced three groups (biofacies) and one outlier. The Shallow Subtidal Biofacies is characterized by a marsh to shallow-subtidal agglutinated fauna, dominated by T. hadai but also including T. inflata, T. macrescens, Haplophragmoides subinvolutum, and Miliammina fusca. The Intermediate Subtidal Biofacies, the Intermediate Subtidal Outlier, and the Deep Subtidal Biofacies are dominated by calcareous taxa, most notably Ammonia tepida, Elphidium excavatum, and Elphidiella hannai. Ammonia tepida is most abundant in the warmer, intermediate depths of eastern Central Bay, abundances of E. excavatum peak in the cooler estuarine water near Alcatraz Island, and E. hannai thrives in the cold water west of Angel Island in a transitional setting between the deep subtidal estuarine and the nearshore marine environments. The recovery of oceanic species as far east as Angel Island indicate that western Central Bay is the most marine-influenced region of San Francisco Bay.
\nSamples collected from 1965 onward were also compared with those from 1998 to investigate how the distribution of benthic foraminifera in Central Bay has changed over the latter half of the 20th Century, particularly in response to the invasion by Trochammina hadai. In 1998, T. hadai was recovered at 46 of 55 sites in Central Bay, comprising from 0.3 to 97% (mean = 23%) of the foraminiferal fauna. With the species’ affiliation for shallow environments, it is not unexpected that it dominated the fauna of the Shallow Subtidal Biofacies (68-97%, mean = 77%) and was also a significant component of the Intermediate Subtidal Biofacies (7-51%, averaging 28%). In the deeper waters west of Alcatraz Island, the abundance of T. hadai was significantly less (mean = 8%), most likely reflecting allochthonous specimens that were the result of post-mortem transport. A cluster analysis clearly distinguishes pre- and post-invasion biofacies, illustrating how dominant T. hadai has become in Central Bay.
","language":"English","publisher":"MicroPress","publisherLocation":"New York, NY","usgsCitation":"McGann, M., 2014, Late 20th Century benthic foraminiferal distribution in Central San Francisco Bay, California: Influence of the Trochammina hadai invasion: Micropaleontology, v. 60, no. 6, p. 519-542.","productDescription":"24 p.","startPage":"519","endPage":"542","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018614","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308501,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-313/article-1904","text":"Index Page","linkFileType":{"id":5,"text":"html"},"description":"Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.18969726562499,\n 37.16031654673677\n ],\n [\n -121.56372070312499,\n 37.16031654673677\n ],\n [\n -121.56372070312499,\n 38.28993659801203\n ],\n [\n -123.18969726562499,\n 38.28993659801203\n ],\n [\n -123.18969726562499,\n 37.16031654673677\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64d5e4b058f706e536d4","contributors":{"authors":[{"text":"McGann, Mary L. 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":147188,"corporation":false,"usgs":true,"family":"McGann","given":"Mary L.","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":573273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70139553,"text":"70139553 - 2014 - Modeling a historical mountain pine beetle outbreak using Landsat MSS and multiple lines of evidence","interactions":[],"lastModifiedDate":"2015-01-28T14:59:14","indexId":"70139553","displayToPublicDate":"2015-01-28T14:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Modeling a historical mountain pine beetle outbreak using Landsat MSS and multiple lines of evidence","docAbstract":"Mountain pine beetles are significant forest disturbance agents, capable of inducing widespread mortality in coniferous forests in western North America. Various remote sensing approaches have assessed the impacts of beetle outbreaks over the last two decades. However, few studies have addressed the impacts of historical mountain pine beetle outbreaks, including the 1970s event that impacted Glacier National Park. The lack of spatially explicit data on this disturbance represents both a major data gap and a critical research challenge in that wildfire has removed some of the evidence from the landscape. We utilized multiple lines of evidence to model forest canopy mortality as a proxy for outbreak severity. We incorporate historical aerial and landscape photos, aerial detection survey data, a nine-year collection of satellite imagery and abiotic data. This study presents a remote sensing based framework to (1) relate measurements of canopy mortality from fine-scale aerial photography to coarse-scale multispectral imagery and (2) classify the severity of mountain pine beetle affected areas using a temporal sequence of Landsat data and other landscape variables. We sampled canopy mortality in 261 plots from aerial photos and found that insect effects on mortality were evident in changes to the Normalized Difference Vegetation Index (NDVI) over time. We tested multiple spectral indices and found that a combination of NDVI and the green band resulted in the strongest model. We report a two-step process where we utilize a generalized least squares model to account for the large-scale variability in the data and a binary regression tree to describe the small-scale variability. The final model had a root mean square error estimate of 9.8% canopy mortality, a mean absolute error of 7.6% and an R2 of 0.82. The results demonstrate that a model of percent canopy mortality as a continuous variable can be developed to identify a gradient of mountain pine beetle severity on the landscape.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2014.09.002","usgsCitation":"Assal, T.J., Sibold, J., and Reich, R.M., 2014, Modeling a historical mountain pine beetle outbreak using Landsat MSS and multiple lines of evidence: Remote Sensing of Environment, v. 155, p. 275-288, https://doi.org/10.1016/j.rse.2014.09.002.","productDescription":"14 p.","startPage":"275","endPage":"288","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057978","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":297600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5654296875,\n 48.22101291025667\n ],\n [\n -114.5654296875,\n 49.11523132594606\n ],\n [\n -113.15093994140625,\n 49.11523132594606\n ],\n [\n -113.15093994140625,\n 48.22101291025667\n ],\n [\n -114.5654296875,\n 48.22101291025667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"155","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a98e4b08de9379b3128","contributors":{"authors":[{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":539441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sibold, Jason","contributorId":10724,"corporation":false,"usgs":false,"family":"Sibold","given":"Jason","affiliations":[],"preferred":false,"id":539442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reich, Robin M.","contributorId":98578,"corporation":false,"usgs":false,"family":"Reich","given":"Robin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":539443,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70127402,"text":"70127402 - 2014 - Book review: Fowler's zoo and wild animal medicine (volume 8)","interactions":[],"lastModifiedDate":"2017-06-28T15:05:55","indexId":"70127402","displayToPublicDate":"2015-01-23T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2528,"text":"Journal of the American Veterinary Medical Association","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Fowler's zoo and wild animal medicine (volume 8)","docAbstract":"In the eighth volume of Fowler's Zoo and Wild Animal Medicine, the editors have returned to the original, comprehensive, taxa-based format last used in the fifth volume that was released in 2003. The book consists of 82 chapters, divided into taxonomic classes that include amphibians, reptiles, birds, and mammals, and a general topics section. The editors deliberately selected new senior authors who are expert veterinary advisors for the various taxa. This international assemblage of authors is impressive, although the book would have benefited from a greater diversity of disciplinary expertise. Synthesis of the large and expanding body of knowledge about zoo and wild animal medicine is a Sisyphean task, but one that the editors have accomplished well. The chapters were well written and are beautifully illustrated with high-quality images and generally well referenced. Much of the information is summarized in tabular format, which I found both a blessing and a curse. Tabulation of hematologic variables and anesthetic doses is helpful; however, tabulation of information regarding infectious and parasitic diseases results in a loss of detail. For example, methods of diagnosis for some diseases are omitted from some tables. The need for succinctness results in trade-offs, and statements such as “Batrachochytrium dendrobatidis … is one of the most well described pathogens of anurans” with no further information leaves readers unsated. In addition, the book does not have any chapters on fish or invertebrates, which are notable omissions given the importance of these species. Those quibbles aside, this is a must-have book for all zoo and wild animal medicine students and practitioners. However, perhaps it is time to recognize that, during the 36 years since the first volume was published, this discipline has become too large to be contained in 1 book. This is largely because of the success of this book series, and it is a nice problem to have.
\nReview info: Fowler's Zoo and Wild Animal Medicine (Volume 8). By R. Eric Miller & Murray E. Fowler, 2015. ISBN 978-1455773978, 773 pp.
","language":"English","publisher":"American Veterinary Medical Association","doi":"10.2460/javma.245.12.1348","usgsCitation":"Sleeman, J.M., 2014, Book review: Fowler's zoo and wild animal medicine (volume 8): Journal of the American Veterinary Medical Association, v. 245, no. 12, p. 1353-1353, https://doi.org/10.2460/javma.245.12.1348.","productDescription":"1 p.","startPage":"1353","endPage":"1353","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059946","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":297477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"245","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ae4b08de9379b3004","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":519608,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70133424,"text":"cir1357 - 2014 - The quality of our Nation's waters: Water quality in the Denver Basin aquifer system, Colorado, 2003-05","interactions":[],"lastModifiedDate":"2023-02-10T19:31:37.565701","indexId":"cir1357","displayToPublicDate":"2015-01-21T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1357","title":"The quality of our Nation's waters: Water quality in the Denver Basin aquifer system, Colorado, 2003-05","docAbstract":"Availability and sustainability of groundwater in the Denver Basin aquifer system depend on water quantity and water quality. The Denver Basin aquifer system underlies about 7,000 square miles of the Great Plains in eastern Colorado and is the primary or sole source of water for domestic and public supply in many areas of the basin. Use of groundwater from the Denver Basin sandstone aquifers has been instrumental for development of the south Denver metropolitan area and other areas, but has resulted in a decline in water levels in some parts of the system. Human activities in many areas have adversely affected the quality of water in the aquifer system, especially the shallow parts. Groundwater in deeper parts of the system used for drinking water, once considered isolated from the effects of overlying land use, is increasingly vulnerable to contamination from human activities and geologic materials. Availability and sustainability of high-quality groundwater are vital to the economic health of the Denver Basin area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1357","usgsCitation":"Bauch, N.J., Musgrove, M., Mahler, B., and Paschke, S.S., 2014, The quality of our Nation's waters: Water quality in the Denver Basin aquifer system, Colorado, 2003-05: U.S. Geological Survey Circular 1357, Report: vii, 100 p.; Appendix 2, https://doi.org/10.3133/cir1357.","productDescription":"Report: vii, 100 p.; Appendix 2","numberOfPages":"113","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2005-12-31","ipdsId":"IP-056275","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":297420,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1357.jpg"},{"id":297419,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1357/"},{"id":297417,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1357/pdf/circ1357.pdf","size":"15.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297418,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/circ/1357/appendix/circ1357appendix2.xlsx","text":"Appendix 2","size":"548 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2","linkHelpText":"Table A2–1. Water-quality properties and constituents analyzed. Table A2–2. Water-quality data for samples collected Readme.txt"}],"country":"United States","state":"Colorado","otherGeospatial":"Denver Basin Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.99609375,\n 38.634036452919226\n ],\n [\n -105.99609375,\n 40.51379915504413\n ],\n [\n -103.29345703125,\n 40.51379915504413\n ],\n [\n -103.29345703125,\n 38.634036452919226\n ],\n [\n -105.99609375,\n 38.634036452919226\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"National Water-Quality Assessment Program","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac1e4b08de9379b31da","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":538872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":1316,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":538873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":538874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70138206,"text":"70138206 - 2014 - Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada","interactions":[],"lastModifiedDate":"2015-02-02T14:42:41","indexId":"70138206","displayToPublicDate":"2015-01-15T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada","docAbstract":"Strong fluid underpressures have been detected in Paleozoic strata in the eastern Michigan Basin, with hydraulic heads reaching ~400 m below land surface (~4 MPa underpressure) and ~200 m below sea level in strata where unusually low permeabilities (~10−20–10−23 m2) were measured in situ. Multiple glaciations, including three with as much as 3 km of ice cover at the site in the last 120 ka, suggest a causal link with the underpressures. We examined this possibility using a one-dimensional groundwater flow model incorporating mechanical loading from both ice weight and lithospheric flexure. Because hydrologic and mechanical changes during glaciation are not well characterized and subsurface properties are imperfectly known, the model was used inversely to estimate flexural loads and loosely constrained permeabilities by matching observed pressures. Acceptable matches were obtained for a surprisingly wide range of scenarios with permeabilities close to measured values and plausible flexural loads. Matches were not obtained when too many parameters were preselected, or when permeabilities were constrained to be significantly larger than measured values. In successful model runs groundwater expulsion under glacial-mechanical loads caused the underpressuring, and flexural loads were important if aquifer and sub-glacial pressures were significantly elevated during glaciation. Simulated fluid pressures in the low-permeability strata fluctuated by 30–40 MPa during glacial cycles but resulted in advective transport of only tens of meters or less. Although other mechanisms cannot be ruled out, we conclude that glacial-mechanical forcing of a water-saturated system can explain the observed underpressures.
","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1002/2014JB011643","usgsCitation":"Neuzil, C.E., and Provost, A.M., 2014, Ice sheet load cycling and fluid underpressures in the Eastern Michigan Basin, Ontario, Canada: Journal of Geophysical Research B: Solid Earth, v. 119, no. 12, p. 8748-8769, https://doi.org/10.1002/2014JB011643.","productDescription":"22 p.","startPage":"8748","endPage":"8769","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060238","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011643","text":"Publisher Index Page"},{"id":297302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Eastern Michigan Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.296875,\n 40.54720023441049\n ],\n [\n -89.296875,\n 47.7097615426664\n ],\n [\n -76.9921875,\n 47.7097615426664\n ],\n [\n -76.9921875,\n 40.54720023441049\n ],\n [\n -89.296875,\n 40.54720023441049\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-14","publicationStatus":"PW","scienceBaseUri":"54dd2a87e4b08de9379b30d3","contributors":{"authors":[{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":538611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":538612,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135681,"text":"sir20145227 - 2014 - Hydrographic survey of Chaktomuk, the confluence of the Mekong, Tonlé Sap, and Bassac Rivers near Phnom Penh, Cambodia, 2012","interactions":[],"lastModifiedDate":"2015-01-15T12:52:06","indexId":"sir20145227","displayToPublicDate":"2015-01-15T12:45:00","publicationYear":"2014","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":"2014-5227","title":"Hydrographic survey of Chaktomuk, the confluence of the Mekong, Tonlé Sap, and Bassac Rivers near Phnom Penh, Cambodia, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of State, Mekong River Commission, Phnom Penh Autonomous Port, and the Cambodian Ministry of Water Resources and Meteorology, completed a hydrographic survey of Chaktomuk, which is the confluence of the Mekong, Tonlé Sap (also spelled Tônlé Sab), and Bassac Rivers near Phnom Penh, Cambodia. The hydrographic survey used a high-resolution multibeam echosounder mapping system to map the riverbed during April 21–May 2, 2012.
\nThe multibeam echosounder mapping system was made up of several components: A RESON Seabat™ 7125 multibeam echosounder, an inertial measurement unit and navigation unit, data collection computers, and a Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) base station. The survey area was divided into six survey subreaches and each subreach was surveyed within 3 days along survey lines oriented parallel to the flow direction. Complete coverage of the riverbed was the operational objective; however, to obtain broad spatial coverage, gaps between parallel swaths were permitted, especially in wide, shallow areas where multibeam swath widths were narrow.
\nThe survey was referenced to two existing bench marks with known geographic coordinates by establishing a GNSS base station on the bench marks each day and using real-time corrections from the base station to correct boat navigation data. The World Geodetic System of 1984 (WGS 84) ellipsoid was used during data collection to reference height, and data were adjusted to the local datum, Ha Tien 1960, during postprocessing.
\nThe quality of hydrographic surveys was described by an uncertainty estimate called total propagated uncertainty (TPU). Calculations of TPU were completed for the hydrographic survey data resulting in the maximum TPU of 0.33 meters. The mean and median TPUs were 0.18 meters, and 99.9 percent of TPU values were less than 0.25 meters.
\nDetailed hydrographic maps of Mekong, Tonlé Sap, and Bassac Rivers showing the riverbed elevations surveyed April 21–May 2, 2012, referenced to Ha Tien 1960 were produced. The surveyed area included a 2-km stretch of the Mekong River between the confluence with the Tonlé Sap and Bassac Rivers, and extended 4 km upstream and 3.6 km downstream from the 2,000-m confluence stretch of the Mekong River. In addition, 0.7 km of the Bassac River downstream and 3.5 km of the Tonlé Sap River (from the confluence to Chroy Changvar Bridge) upstream from their confluence with the Mekong River were surveyed. Riverbed features (such as dunes, shoals, and the effects of sediment mining, which were observed during data collection) are visible on the hydrographic maps. All surveys were completed at low annual water levels as referenced to nearby Mekong River Commission streamflow-gaging stations. Riverbed elevations surveyed ranged from 24.08 m below to 1.54 m above Ha Tien 1960.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145227","collaboration":"Prepared in cooperation with the U.S. Department of State, the Mekong River Commission, Phnom Penh Autonomous Port, and the Cambodian Ministry of Water Resources and Meteorology","usgsCitation":"Dietsch, B.J., Densmore, B.K., and Wilson, R.C., 2014, Hydrographic survey of Chaktomuk, the confluence of the Mekong, Tonlé Sap, and Bassac Rivers near Phnom Penh, Cambodia, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5227, vi, 23 p., https://doi.org/10.3133/sir20145227.","productDescription":"vi, 23 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057927","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":297297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145227.jpg"},{"id":297293,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5227/"},{"id":297294,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5227/pdf/sir2014-5227.pdf","text":"Report","size":"10.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"World Geodectic System 1984","country":"Cambodia","city":"Phnom Penh","otherGeospatial":"Bassac River, Chaktomuk, Mekong River, Tonlé Sap River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 103.64501953125,\n 10.914224006944366\n ],\n [\n 103.64501953125,\n 13.036669323115246\n ],\n [\n 105.8148193359375,\n 13.036669323115246\n ],\n [\n 105.8148193359375,\n 10.914224006944366\n ],\n [\n 103.64501953125,\n 10.914224006944366\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a86e4b08de9379b30cf","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Richard C. wilson@usgs.gov","contributorId":846,"corporation":false,"usgs":true,"family":"Wilson","given":"Richard","email":"wilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":536754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134080,"text":"sir20145219 - 2014 - Flood-inundation maps for the White River near Edwardsport, Indiana","interactions":[],"lastModifiedDate":"2015-01-14T13:40:48","indexId":"sir20145219","displayToPublicDate":"2015-01-14T13:30:00","publicationYear":"2014","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":"2014-5219","title":"Flood-inundation maps for the White River near Edwardsport, Indiana","docAbstract":"Digital flood-inundation maps for a 3.3-mile reach of the White River near Edwardsport, (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 03360730, White River near Edwardsport, Ind. Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (site EDWI3.)
\nFlood profiles were computed for the White River near Edwardsport reach by means of a one-dimensional step-back-water model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03360730, White River near Edwardsport, Ind., and high-water marks from the flood of April 2013. The calibrated hydraulic model was then used to determine 19 water-surface profiles for flood stages at approximately 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a geographic information system digital elevation model to delineate the area flooded at each water level.
\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage 03360730 White River near Edwardsport, Ind., and forecasted stream stages from the National Weather Service, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145219","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., 2014, Flood-inundation maps for the White River near Edwardsport, Indiana: U.S. Geological Survey Scientific Investigations Report 2014-5219, Report: iv, 11 p.; Downloads Directory, https://doi.org/10.3133/sir20145219.","productDescription":"Report: iv, 11 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-025600","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":297244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145219.jpg"},{"id":297242,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5219/pdf/sir2014-5219.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297241,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5219/"},{"id":297243,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5219/downloads/gis_data","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","city":"Edwardsport","otherGeospatial":"White River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.26800918579102,\n 38.770948699444624\n ],\n [\n -87.26800918579102,\n 38.833824233697726\n ],\n [\n -87.20312118530273,\n 38.833824233697726\n ],\n [\n -87.20312118530273,\n 38.770948699444624\n ],\n [\n -87.26800918579102,\n 38.770948699444624\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a78e4b08de9379b308b","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525682,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70135268,"text":"70135268 - 2014 - White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host","interactions":[],"lastModifiedDate":"2015-01-14T10:32:47","indexId":"70135268","displayToPublicDate":"2015-01-14T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3845,"text":"BMC Physiology","active":true,"publicationSubtype":{"id":10}},"title":"White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host","docAbstract":"The physiological effects of white-nose syndrome (WNS) in hibernating bats and ultimate causes of mortality from infection with Pseudogymnoascus (formerly Geomyces) destructans are not fully understood. Increased frequency of arousal from torpor described among hibernating bats with late-stage WNS is thought to accelerate depletion of fat reserves, but the physiological mechanisms that lead to these alterations in hibernation behavior have not been elucidated. We used the doubly labeled water (DLW) method and clinical chemistry to evaluate energy use, body composition changes, and blood chemistry perturbations in hibernating little brown bats (Myotis lucifugus) experimentally infected with P. destructans to better understand the physiological processes that underlie mortality from WNS.
\nThese data indicated that fat energy utilization, as demonstrated by changes in body composition, was two-fold higher for bats with WNS compared to negative controls. These differences were apparent in early stages of infection when torpor-arousal patterns were equivalent between infected and non-infected animals, suggesting that P. destructans has complex physiological impacts on its host prior to onset of clinical signs indicative of late-stage infections. Additionally, bats with mild to moderate skin lesions associated with early-stage WNS demonstrated a chronic respiratory acidosis characterized by significantly elevated dissolved carbon dioxide, acidemia, and elevated bicarbonate. Potassium concentrations were also significantly higher among infected bats, but sodium, chloride, and other hydration parameters were equivalent to controls.
\nIntegrating these novel findings on the physiological changes that occur in early-stage WNS with those previously documented in late-stage infections, we propose a multi-stage disease progression model that mechanistically describes the pathologic and physiologic effects underlying mortality of WNS in hibernating bats. This model identifies testable hypotheses for better understanding this disease, knowledge that will be critical for defining effective disease mitigation strategies aimed at reducing morbidity and mortality that results from WNS.
","language":"English","publisher":"BioMed Central Ltd.","doi":"10.1186/s12899-014-0010-4","usgsCitation":"Verant, M.L., Meteyer, C.U., Speakman, J.R., Cryan, P.M., Lorch, J.M., and Blehert, D., 2014, White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host: BMC Physiology, v. 14, no. 10, 10 p., https://doi.org/10.1186/s12899-014-0010-4.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055615","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12899-014-0010-4","text":"Publisher Index Page"},{"id":297231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-12-09","publicationStatus":"PW","scienceBaseUri":"54dd2ad0e4b08de9379b321e","contributors":{"authors":[{"text":"Verant, Michelle L. mverant@usgs.gov","contributorId":5566,"corporation":false,"usgs":true,"family":"Verant","given":"Michelle","email":"mverant@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":527001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":127748,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":527002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Speakman, John R.","contributorId":127833,"corporation":false,"usgs":false,"family":"Speakman","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":7165,"text":"University of Aberdeen","active":true,"usgs":false}],"preferred":false,"id":527004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":527003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":527005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":127747,"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":527000,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70137249,"text":"70137249 - 2014 - Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents","interactions":[],"lastModifiedDate":"2015-01-13T08:36:49","indexId":"70137249","displayToPublicDate":"2015-01-13T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents","docAbstract":"In cooperation with FHWA, the U.S. Geological Survey developed the stochastic empirical loading and dilution model (SELDM) to supersede the 1990 FHWA runoff quality model. The SELDM tool is designed to transform disparate and complex scientific data into meaningful information about the adverse risks of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such measures for reducing such risks. The SELDM tool is easy to use because much of the information and data needed to run it are embedded in the model and obtained by defining the site location and five simple basin properties. Information and data from thousands of sites across the country were compiled to facilitate the use of the SELDM tool. A case study illustrates how to use the SELDM tool for conducting the types of sensitivity analyses needed to properly assess water quality risks. For example, the use of deterministic values to model upstream stormflows instead of representative variations in prestorm flow and runoff may substantially overestimate the proportion of highway runoff in downstream flows. Also, the risks for total phosphorus excursions are substantially affected by the selected criteria and the modeling methods used. For example, if a single deterministic concentration is used rather than a stochastic population of values to model upstream concentrations, then the percentage of water quality excursions in the downstream receiving waters may depend entirely on the selected upstream concentration.
","language":"English","publisher":"Transportation Research Board of the National Academies","doi":"10.3141/2436-14","usgsCitation":"Granato, G., and Jones, S.C., 2014, Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents: Transportation Research Record, v. 2436, p. 139-147, https://doi.org/10.3141/2436-14.","productDescription":"9 p.","startPage":"139","endPage":"147","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052062","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":297148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2436","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-01","publicationStatus":"PW","scienceBaseUri":"54dd2ab8e4b08de9379b31a6","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":537567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","interactions":[{"subject":{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","indexId":"ofr20131024G","publicationYear":"2014","noYear":false,"chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1}],"isPartOf":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"lastModifiedDate":"2018-12-14T12:12:21","indexId":"ofr20131024G","displayToPublicDate":"2015-01-12T16:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1024","chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","docAbstract":"From December 2010 to January 2011, the U.S. Geological Survey conducted airborne electromagnetic and magnetic surveys of Leach Lake Basin within the National Training Center, Fort Irwin, California. These data were collected to characterize the subsurface and provide information needed to understand and manage groundwater resources within Fort Irwin. A resistivity stratigraphy was developed using ground-based time-domain electromagnetic soundings together with laboratory resistivity measurements on hand samples and borehole geophysical logs from nearby basins. This report releases data associated with the airborne surveys, as well as resistivity cross-sections and depth slices derived from inversion of the airborne electromagnetic data. The resulting resistivity models confirm and add to the geologic framework, constrain the hydrostratigraphy and the depth to basement, and reveal the distribution of faults and folds within the basin.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024G","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Bedrosian, P.A., Ball, L.B., and Bloss, B.R., 2014, Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California, chap. G of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open File Report 2013–1024, 20 p., \nhttps://doi.org/10.3133/ofr20131024G.","productDescription":"Report: vi, 20 p.; 2 Appendixes","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059815","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":297138,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/OFR2013-1024-G.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297139,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2013-1024-g_appendix_a.pdf","text":"Appendix A","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/g/images/coverthb.jpg"},{"id":297140,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2014-2014-g_appendix_b.zip","text":"Appendix B","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"}}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
The lateral blast, debris avalanche, and lahars of the May 18th, 1980, eruption of Mount St. Helens, Washington, dramatically altered the surrounding landscape. Lava domes were extruded during the subsequent eruptive periods of 1980–1986 and 2004–2008. More than three decades after the emplacement of the 1980 debris avalanche, high sediment production persists in the North Fork Toutle River basin, which drains the northern flank of the volcano. Because this sediment increases the risk of flooding to downstream communities on the Toutle and Cowlitz Rivers, the U.S. Army Corps of Engineers (USACE), under the direction of Congress to maintain an authorized level of flood protection, built a sediment retention structure on the North Fork Toutle River in 1989 to help reduce this risk and to prevent sediment from clogging the shipping channel of the Columbia River. From September 16–20, 2009, Watershed Sciences, Inc., under contract to USACE, collected high-precision airborne lidar (light detection and ranging) data that cover 214 square kilometers (83 square miles) of Mount St. Helens and the upper North Fork Toutle River basin from the sediment retention structure to the volcano's crater. These data provide a digital dataset of the ground surface, including beneath forest cover. Such remotely sensed data can be used to develop sediment budgets and models of sediment erosion, transport, and deposition. The U.S. Geological Survey (USGS) used these lidar data to develop digital elevation models (DEMs) of the study area. DEMs are fundamental to monitoring natural hazards and studying volcanic landforms, fluvial and glacial geomorphology, and surface geology. Watershed Sciences, Inc., provided files in the LASer (LAS) format containing laser returns that had been filtered, classified, and georeferenced. The USGS produced a hydro-flattened DEM from ground-classified points at Castle, Coldwater, and Spirit Lakes. Final results averaged about five laser last-return points per square meter. As reported by Watershed Sciences, Inc., vertical accuracy is 10 centimeters (cm) at the 95-percent confidence interval on bare road surfaces; however, over natural terrain, USGS found vertical accuracy to be 10–50 cm. This USGS data series contains the bare-earth lidar data as 1- and 10-meter (m) resolution Esri grid files. Digital-elevation data can be downloaded (1m_DEM.zip and 10m_DEM.zip), as well as a 1-m resolution hillshade image with pyramids (1m_hillshade.zip). These geospatial data files require geographic information system (GIS) software for viewing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds904","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Mosbrucker, A.R., 2014, High-resolution digital elevation model of Mount St. Helens crater and upper North Fork Toutle River basin, Washington, based on an airborne lidar survey of September 2009: U.S. Geological Survey Data Series 904, Report: 24 p.; Readme; 1m DEM data; 10m DEM data; 1m hillshade image; Metadata, https://doi.org/10.3133/ds904.","productDescription":"Report: 24 p.; Readme; 1m DEM data; 10m DEM data; 1m hillshade image; Metadata","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050820","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":297105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds904.gif"},{"id":297098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0904/"},{"id":297099,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/0904/1_readme.txt","size":"5 kB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"Report by Watershed Sciences, Inc., under contract to USACE, on high-precision airbone lidar data collected September 16–20, 2009"},{"id":297100,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0904/downloads/ds904_delivery_report.pdf","text":"Delivery Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297103,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/1m_hillshade.zip","text":"1m hillshade","size":"211 MB","linkHelpText":"1-m resolution hillshade image with pyramids. Refer to the Readme and Metadata files for more information."},{"id":297104,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0904/FGDC_Metadata.txt","size":"211 MB","linkFileType":{"id":2,"text":"txt"}},{"id":297101,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/1m_DEM.zip","text":"1m DEM","size":"572 MB","description":"Digital-elevation data","linkHelpText":"Digital-elevation data using bare-earth lidar data as 1-m resolution Esri grid files. Refer to the Readme and Metadata files for more information."},{"id":297102,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/10m_DEM.zip","text":"10m DEM","size":"7.2 MB","description":"Digital-elevation data","linkHelpText":"Digital-elevation data using bare-earth lidar data as 10-m resolution Esri grid files. Refer to the Readme and Metadata files for more information"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens, upper North Fork Toutle River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.58132934570311,\n 46.13702492883557\n ],\n [\n -122.58132934570311,\n 46.38293856752681\n ],\n [\n -122.0855712890625,\n 46.38293856752681\n ],\n [\n -122.0855712890625,\n 46.13702492883557\n ],\n [\n -122.58132934570311,\n 46.13702492883557\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a85e4b08de9379b30c6","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":537964,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70135353,"text":"70135353 - 2014 - Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture","interactions":[],"lastModifiedDate":"2015-01-08T13:50:25","indexId":"70135353","displayToPublicDate":"2015-01-08T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture","docAbstract":"Quantitative methods of spatial conservation prioritization have traditionally been applied to issues in conservation biology and reserve design, though their use in other types of natural resource management is growing. The utility maximization problem is one form of a covering problem where multiple criteria can represent the expected social benefits of conservation action. This approach allows flexibility with a problem formulation that is more general than typical reserve design problems, though the solution methods are very similar. However, few studies have addressed optimization in utility maximization problems for conservation planning, and the effect of solution procedure is largely unquantified. Therefore, this study mapped five criteria describing elements of multifunctional agriculture to determine a hypothetical conservation resource allocation plan for agricultural land conservation in the Central Valley of CA, USA. We compared solution procedures within the utility maximization framework to determine the difference between an open source integer programming approach and a greedy heuristic, and find gains from optimization of up to 12%. We also model land availability for conservation action as a stochastic process and determine the decline in total utility compared to the globally optimal set using both solution algorithms. Our results are comparable to other studies illustrating the benefits of optimization for different conservation planning problems, and highlight the importance of maximizing the effectiveness of limited funding for conservation and natural resource management.
","language":"English","publisher":"PeerJ Inc.","publisherLocation":"Corte Madera, CA","doi":"10.7717/peerj.690","usgsCitation":"Kreitler, J.R., Stoms, D.M., and Davis, F., 2014, Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture: PeerJ, v. 2, 19 p.; e690, https://doi.org/10.7717/peerj.690.","productDescription":"19 p.; e690","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-043247","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.690","text":"Publisher Index Page"},{"id":297088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.8878173828125,\n 37.43125050179356\n ],\n [\n -121.8878173828125,\n 38.75408327579141\n ],\n [\n -120.86334228515624,\n 38.75408327579141\n ],\n [\n -120.86334228515624,\n 37.43125050179356\n ],\n [\n -121.8878173828125,\n 37.43125050179356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2014-12-11","publicationStatus":"PW","scienceBaseUri":"54dd2a9fe4b08de9379b3146","contributors":{"authors":[{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":527102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoms, David M.","contributorId":127848,"corporation":false,"usgs":false,"family":"Stoms","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":7167,"text":"California Energy Commission, previously UCSB","active":true,"usgs":false}],"preferred":false,"id":527103,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Davis, Frank W.","contributorId":127849,"corporation":false,"usgs":false,"family":"Davis","given":"Frank W.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":527104,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70137396,"text":"70137396 - 2014 - Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i","interactions":[],"lastModifiedDate":"2020-12-10T13:26:16.602331","indexId":"70137396","displayToPublicDate":"2015-01-08T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i","docAbstract":"Kaloko-Honokōhau National Historical Park (KAHO) is a coastal sanctuary on the western side of the Island of Hawai‘i that was established in 1978 to preserve, interpret, and perpetuate traditional Native Hawaiian culture and activities. KAHO contains a variety of culturally and ecologically significant water resources and water-related habitat for species that have been declared as threatened or endangered by the U.S. Fish and Wildlife Service, or are candidate threatened or endangered species. These habitats are dependent on coastal unconfined groundwater in a freshwater-lens system. The coastal unconfined-groundwater system is recharged by local infiltration of rainfall but also may receive recharge from an inland groundwater system containing groundwater impounded to high altitudes. The area inland of and near KAHO is being rapidly urbanized and increased groundwater withdrawals from the inland impounded-groundwater system may affect habitat and water quality in KAHO, depending on the extent of connection between the coastal unconfined groundwater and inland impounded-groundwater. An investigation of the geochemistry of surface-water and groundwater samples in and near KAHO was performed to evaluate the presence or absence of a connection between the inland impounded- and coastal unconfined-groundwater systems in the area. Analyses of major ions, selected trace elements, rare-earth elements, and strontium-isotope ratio results from ocean, fishpond, anchialine pool, and groundwater samples were consistent with a linear mixing process between the inland impounded and coastal unconfined-groundwater systems. Stable isotopes of water in many samples from the coastal unconfined-groundwater system require an aggregate recharge altitude that is substantially higher than the boundary between the coastal unconfined and inland impounded systems, a further indication of a hydrologic connection between the two systems. The stable isotope composition of the freshwater component of water samples from KAHO indicates that about 25–70% of the freshwater is derived from the inland impounded system.
","language":"English","publisher":"Elseiver","doi":"10.1016/j.apgeochem.2014.10.003","usgsCitation":"Tillman, F., Oki, D.S., Johnson, A.G., Barber, L.B., and Beisner, K.R., 2014, Investigation of geochemical indicators to evaluate the connection between inland and coastal groundwater systems near Kaloko-Honokōhau National Historical Park, Hawai‘i: Applied Geochemistry, v. 51, p. 278-292, https://doi.org/10.1016/j.apgeochem.2014.10.003.","productDescription":"15 p.","startPage":"278","endPage":"292","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057293","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":472521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2014.10.003","text":"Publisher Index Page"},{"id":297086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokōhau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.08001708984375,\n 19.42126831604998\n ],\n [\n -156.08001708984375,\n 19.73697619787738\n ],\n [\n -155.84999084472656,\n 19.73697619787738\n ],\n [\n -155.84999084472656,\n 19.42126831604998\n ],\n [\n -156.08001708984375,\n 19.42126831604998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a8ce4b08de9379b30ea","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - 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High dissolved-solids loading to the River and tributaries are derived primarily from geologic material deposited in inland seas in the mid-to-late Cretaceous Period, but this loading may be increased by human activities. High dissolved solids in the River causes substantial damages to users, primarily in reduced agricultural crop yields and corrosion. The Colorado River Basin Salinity Control Program was created to manage dissolved-solids loading to the River and has focused primarily on reducing irrigation-related loading from agricultural areas. This work presents a reconnaissance of existing data from sites in the Upper Colorado River Basin (UCRB) in order to highlight areas where suspended-sediment control measures may be useful in reducing dissolved-solids concentrations. Multiple linear regression was used on data from 164 sites in the UCRB to develop dissolved-solids models that include combinations of explanatory variables of suspended sediment, flow, and time. Results from the partial t-test, overall likelihood ratio, and partial likelihood ratio on the models were used to group the sites into categories of strong, moderate, weak, and no-evidence of a relation between suspended-sediment and dissolved-solids concentrations. Results show 68 sites have strong or moderate evidence of a relation, with drainage areas for many of these sites composed of a large percentage of clastic sedimentary rocks. These results could assist water managers in the region in directing field-scale evaluation of suspended-sediment control measures to reduce UCRB dissolved-solids loading.
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Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70136281,"text":"ofr20141257 - 2014 - Agricultural irrigated land-use inventory for Osceola County, Florida, October 2013-April 2014","interactions":[],"lastModifiedDate":"2015-01-07T11:29:14","indexId":"ofr20141257","displayToPublicDate":"2015-01-06T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File 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This report provides a detailed digital map and summary of irrigated areas within Osceola County for the agricultural growing period October 2013–April 2014. The irrigated areas were first delineated using land-use data and satellite imagery and then field verified between February and April 2014. Selected attribute data were collected for the irrigated areas, including crop type, primary water source, and type of irrigation system. Results indicate that an estimated 27,450 acres were irrigated during the study period. This includes 4,370 acres of vegetables, 10,970 acres of orchard crops, 1,620 acres of field crops, and 10,490 acres of ornamentals and grasses. Specifically, irrigated acreage included citrus (10,860 acres), sod (5,640 acres), pasture (4,580 acres), and potatoes (3,320 acres). Overall, groundwater was used to irrigate 18,350 acres (67 percent of the total acreage), and surface water was used to irrigate the remaining 9,100 acres (33 percent). Microirrigation systems accounted for 45 percent of the total acreage irrigated, flood systems 30 percent, and sprinkler systems the remaining 25 percent. An accurate, detailed, spatially referenced, and field-verified inventory of irrigated crop acreage can be used to assist resource managers making current and future county-level water-use estimates in Osceola County.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141257","collaboration":"Florida Department of Agriculture and Consumer Services","usgsCitation":"Marella, R.L., and Dixon, J.F., 2014, Agricultural irrigated land-use inventory for Osceola County, Florida, October 2013-April 2014: U.S. Geological Survey Open-File Report 2014-1257, Report: 8 p.; 1 Appendix, https://doi.org/10.3133/ofr20141257.","productDescription":"Report: 8 p.; 1 Appendix","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057250","costCenters":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"links":[{"id":297029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141257.jpg"},{"id":297026,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1257/"},{"id":297027,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1257/pdf/ofr2014-1257.pdf"},{"id":297028,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1257/pdf/ofr2014-1257_appendix1.pdf"}],"country":"United States","state":"Florida","county":"Osceola County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.9854736328125,\n 27.72243591897343\n ],\n [\n -81.9854736328125,\n 28.65203063036226\n ],\n [\n -80.7000732421875,\n 28.65203063036226\n ],\n [\n -80.7000732421875,\n 27.72243591897343\n ],\n [\n -81.9854736328125,\n 27.72243591897343\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a51e4b08de9379b2fdc","contributors":{"authors":[{"text":"Marella, Richard L. 0000-0003-4861-9841 rmarella@usgs.gov","orcid":"https://orcid.org/0000-0003-4861-9841","contributorId":2443,"corporation":false,"usgs":true,"family":"Marella","given":"Richard","email":"rmarella@usgs.gov","middleInitial":"L.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Joann F. 0000-0001-9200-6407 jdixon@usgs.gov","orcid":"https://orcid.org/0000-0001-9200-6407","contributorId":1756,"corporation":false,"usgs":true,"family":"Dixon","given":"Joann","email":"jdixon@usgs.gov","middleInitial":"F.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":537294,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133600,"text":"fs20143117 - 2014 - Data and spatial studies of the USGS Texas Water Science Center","interactions":[],"lastModifiedDate":"2016-08-05T12:04:40","indexId":"fs20143117","displayToPublicDate":"2015-01-03T11:45:00","publicationYear":"2014","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":"2014-3117","title":"Data and spatial studies of the USGS Texas Water Science Center","docAbstract":"Hydrologists, geographers, geophysicists, and geologists with the U.S. Geological Survey (USGS) Texas Water Science Center (TXWSC) work in the USGS Water Mission Area on a diverse range of projects built on a foundation of spatial data. The TXWSC has developed sophisticated data and spatial-studies-related capabilities that are an integral part of the projects undertaken by the Center.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143117","usgsCitation":"Burley, T.E., 2014, Data and spatial studies of the USGS Texas Water Science Center: U.S. Geological Survey Fact Sheet 2014-3117, 4 p., https://doi.org/10.3133/fs20143117.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060637","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":296978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143117.jpg"},{"id":296977,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3117/pdf/fs2014-3117.pdf","size":"1.12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296974,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3117/"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.74316406249999,\n 25.859223554761407\n ],\n [\n -106.74316406249999,\n 36.527294814546245\n ],\n [\n -93.40576171875,\n 36.527294814546245\n ],\n [\n -93.40576171875,\n 25.859223554761407\n ],\n [\n -106.74316406249999,\n 25.859223554761407\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a62e4b08de9379b3030","contributors":{"authors":[{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537543,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70136549,"text":"ofr20101083P - 2014 - Seismicity of the Earth 1900-2013 East African Rift","interactions":[],"lastModifiedDate":"2015-01-12T14:32:14","indexId":"ofr20101083P","displayToPublicDate":"2015-01-03T11:00:00","publicationYear":"2014","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":"2010-1083","chapter":"P","title":"Seismicity of the Earth 1900-2013 East African Rift","docAbstract":"The East African Rift system (EARS) is a 3,000-km-long Cenozoic age continental rift extending from the Afar triple junction, between the horn of Africa and the Middle East, to western Mozambique. Sectors of active extension occur from the Indian Ocean, west to Botswana and the Democratic Republic of the Congo (DRC). It is the only rift system in the world that is active on a continent-wide scale, providing geologists with a view of how continental rifts develop over time into oceanic spreading centers like the Mid-Atlantic Ridge.
\nRifting in East Africa is not all coeval; volcanism and faulting have been an ongoing phenomenon on the continent since the Eocene (~45 Ma). The rifting began in northern East Africa, and led to the separation of the Nubia (Africa) and Arabia plates in the Red Sea and Gulf of Aden, and in the Lake Turkana area at the Kenya-Ethiopia border. A Paleogene mantle superplume beneath East Africa caused extension within the Nubia plate, as well as a first order topographic high known as the African superswell which now includes most of the eastern and southern sectors of the Nubia plate. Widespread volcanism erupted onto much of the rising plateau in Ethiopia during the Eocene-Oligocene (45–29 Ma), with chains of volcanoes forming along the rift separating Africa and Arabia. Since the initiation of rifting in northeastern Africa, the system has propagated over 3,000 km to the south and southwest, and it experiences seismicity as a direct result of the extension and active magmatism.
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However, there is little doubt that modern trade and transportation in support of the humans has continued to introduce additional species, genotypes, and hybrids to every country on the globe. We assessed the utility of species distributions modeling of genotypes to assess the risk of current and future invaders. We evaluated 93 locations of the genus Tamarix for which genetic data were available. Maxent models of habitat suitability showed that the hybrid, T. ramosissima x T. chinensis, was slightly greater than the parent taxa (AUCs > 0.83). General linear models of Africanized honey bees, a hybrid cross of Tanzanian Apis mellifera scutellata and a variety of European honey bee including A. m. ligustica, showed that the Africanized bees (AUC = 0.81) may be displacing European honey bees (AUC > 0.76) over large areas of the southwestern U.S. More important, Maxent modeling of sub-populations (A1 and A26 mitotypes based on mDNA) could be accurately modeled (AUC > 0.9), and they responded differently to environmental drivers. This suggests that rapid evolutionary change may be underway in the Africanized bees, allowing the bees to spread into new areas and extending their total range. Protecting native species and ecosystems may benefit from risk maps of harmful invasive species, hybrids, and genotypes.
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Using Oklahoma as an example, where invasive bighead carp (Hypophthalmichthys nobilis) are established in certain reservoirs, but predicted to be widely distributed based on broad-scale niche models, we cast bighead carp reproductive ecology in a site-specific geospatial framework to determine their potential establishment in additional reservoirs. Because bighead carp require large, long free-flowing rivers with suitable hydrology for reproduction but can persist in reservoirs, we considered reservoir tributaries with mean annual daily discharge ≥8.5 cubic meters per second (m3 /s) and quantified the length of their unimpeded portions. In contrast to published broad-scale niche models that identified nearly the entire state as susceptible to invasion, our site-specific models showed that few reservoirs in Oklahoma (N = 9) were suitable for bighead carp establishment. Moreover, this method was rapid and identified sites that could be prioritized for increased study or scrutiny. Our results highlight the importance of considering the environmental characteristics of individual sites, which is often the level at which management efforts are implemented when assessing susceptibility to invasion.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Helsinki","doi":"10.3391/mbi.2014.5.4.07","usgsCitation":"Long, J.M., Liang, Y., Shoup, D.E., Dzialowski, A.R., and Bidwell, J.R., 2014, GIS-based rapid-assessment of bighead carp Hypophthalmichthys nobilis (Richardson, 1845) suitability in reservoirs: Management of Biological Invasions, v. 5, no. 4, p. 363-370, https://doi.org/10.3391/mbi.2014.5.4.07.","productDescription":"8 p.","startPage":"363","endPage":"370","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037998","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2014.5.4.07","text":"Publisher Index Page"},{"id":305763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.48791503906249,\n 33.61461929233378\n ],\n [\n -95.2020263671875,\n 33.94335994657882\n ],\n [\n -96.361083984375,\n 33.67406853374198\n ],\n [\n -96.932373046875,\n 33.88865750124075\n ],\n [\n -97.119140625,\n 33.701492795584365\n ],\n [\n -97.9705810546875,\n 33.87953701355924\n ],\n [\n -98.1683349609375,\n 34.098159345215535\n ],\n [\n -98.8165283203125,\n 34.116352469972746\n ],\n [\n -99.1900634765625,\n 34.1890858311724\n ],\n [\n -99.33837890625,\n 34.420504880133834\n ],\n [\n -99.68994140625,\n 34.35250666867596\n ],\n [\n -100.0250244140625,\n 34.551811369170494\n ],\n [\n -100.03051757812499,\n 36.48314061639213\n ],\n [\n -103.062744140625,\n 36.47872381162464\n ],\n [\n -103.0517578125,\n 38.51378825951165\n ],\n [\n -94.6142578125,\n 38.556757147352215\n ],\n [\n -94.6142578125,\n 36.474306755095206\n ],\n [\n -94.41650390625,\n 35.348735749472546\n ],\n [\n -94.48791503906249,\n 33.61461929233378\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a78438e4b0183d66e45e8a","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liang, Yu","contributorId":145642,"corporation":false,"usgs":false,"family":"Liang","given":"Yu","affiliations":[],"preferred":false,"id":564868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dzialowski, Andrew R.","contributorId":145641,"corporation":false,"usgs":false,"family":"Dzialowski","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bidwell, Joseph R.","contributorId":105122,"corporation":false,"usgs":true,"family":"Bidwell","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70150449,"text":"70150449 - 2014 - Golden alga presence and abundance are inversely related to salinity in a high-salinity river ecosystem, Pecos River, USA","interactions":[],"lastModifiedDate":"2015-07-21T11:41:44","indexId":"70150449","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Golden alga presence and abundance are inversely related to salinity in a high-salinity river ecosystem, Pecos River, USA","docAbstract":"Prymnesium parvum (golden alga, GA) is a toxigenic harmful alga native to marine ecosystems that has also affected brackish inland waters. The first toxic bloom of GA in the western hemisphere occurred in the Pecos River, one of the saltiest rivers in North America. Environmental factors (water quality) associated with GA occurrence in this basin, however, have not been examined. Water quality and GA presence and abundance were determined at eight sites in the Pecos River basin with or without prior history of toxic blooms. Sampling was conducted monthly from January 2012 to July 2013. Specific conductance (salinity) varied spatiotemporally between 4408 and 73,786 mS/cm. Results of graphical, principal component (PCA), and zero-inflated Poisson (ZIP) regression analyses indicated that the incidence and abundance of GA are reduced as salinity increases spatiotemporally. LOWESS regression and correlation analyses of archived data for specific conductance and GA abundance at one of the study sites retrospectively confirmed the negative association between these variables. Results of PCA also suggested that at <15,000 mS/cm, GA was present at a relatively wide range of nutrient (nitrogen and phosphorus) concentrations whereas at higher salinity, GA was observed only at mid-to-high nutrient levels. Generally consistent with earlier studies, results of ZIP regression indicated that GA presence is positively associated with organic phosphorus and in samples where GA is present, GA abundance is positively associated with organic nitrogen and negatively associated with inorganic nitrogen. This is the first report of an inverse relation between salinity and GA presence and abundance in riverine waters and of interaction effects of salinity and nutrients in the field. These observations contribute to a more complete understanding of environmental conditions that influence GA distribution in inland waters.
","language":"English","publisher":"Elsevier Science BV","publisherLocation":"Amsterdam","doi":"10.1016/j.hal.2014.06.012","usgsCitation":"Israel, N., VanLandeghem, M., Denny, S., Ingle, J., and Patino, R., 2014, Golden alga presence and abundance are inversely related to salinity in a high-salinity river ecosystem, Pecos River, USA: Harmful Algae, v. 39, no. 2014, p. 81-91, https://doi.org/10.1016/j.hal.2014.06.012.","productDescription":"11 p.","startPage":"81","endPage":"91","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2013-07-31","ipdsId":"IP-052901","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Pecos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.66650390625,\n 29.305561325527698\n ],\n [\n -105.66650390625,\n 36.31512514748051\n ],\n [\n -100.8544921875,\n 36.31512514748051\n ],\n [\n -100.8544921875,\n 29.305561325527698\n ],\n [\n -105.66650390625,\n 29.305561325527698\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"2014","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55af6d2be4b09a3b01b51aa4","contributors":{"authors":[{"text":"Israel, Natascha","contributorId":145737,"corporation":false,"usgs":false,"family":"Israel","given":"Natascha","email":"","affiliations":[],"preferred":false,"id":565135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":565136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denny, Shawn","contributorId":145738,"corporation":false,"usgs":false,"family":"Denny","given":"Shawn","email":"","affiliations":[],"preferred":false,"id":565137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingle, John","contributorId":145739,"corporation":false,"usgs":false,"family":"Ingle","given":"John","email":"","affiliations":[],"preferred":false,"id":565138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556898,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155852,"text":"70155852 - 2014 - Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","interactions":[],"lastModifiedDate":"2015-08-13T09:31:04","indexId":"70155852","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta","docAbstract":"Nitrogen (N) is a ubiquitous contaminant throughout agricultural landscapes due to both the application of inorganic and organic fertilizers to agricultural fields and the general persistence of nitrate (NO3 ) in oxygenated aqueous environments (Denver et al. 2010; Domagalski et al. 2008; Green et al. 2008; Coupe 2001; Nolan and Stoner 2000). In order to understand why excess N occurs various hydrologic systems (environments), it is important to consider potential sources, the locations of these sources in the watershed, and the timing of the application of sources with respect to the movement of water. To learn how to manage N in a watershed, it is necessary to identify and quantify flow paths and biogeochemical conditions, which ultimately combine to determine transport and fate. If sources, transport mechanisms, and biogeochemical controls were uniformly distributed, it would be possible to manage N uniformly throughout a watershed. However, uniform conditions are rare to nonexistent in the natural world and in the landscape altered for agricultural production. In order to adjust management activities on the landscape to have the greatest effect, it is important to understand the fate and transport N within the intersection of hydrology and biogeochemistry, that is, to understand the extent and duration of the hydrologic and biogeochemical controls as N is routed through and among each hydrologic compartment.
","language":"English","publisher":"Soil and Water Conservation Society","publisherLocation":"Ankeny, IA","doi":"10.2489/jswc.69.1.11A","usgsCitation":"Barlow, J.R., and Kröger, R., 2014, Nitrogen transport within an agricultural landscape: insights on how hydrology, biogeochemistry, and the landscape intersect to control the fate and transport of nitrogen in the Mississippi Delta: Journal of Soil and Water Conservation, v. 69, no. 1, p. 11A-16A, https://doi.org/10.2489/jswc.69.1.11A.","productDescription":"6 p.","startPage":"11A","endPage":"16A","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052573","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":306625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi Delta","volume":"69","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"55cdbfbae4b08400b1fe1423","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kröger, Robert","contributorId":146206,"corporation":false,"usgs":false,"family":"Kröger","given":"Robert","affiliations":[{"id":16626,"text":"Assistant Professor, Aquatic Sciences, College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":566606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048719,"text":"70048719 - 2014 - Science during crisis: the application of social science during major environmental crises","interactions":[],"lastModifiedDate":"2014-07-03T13:08:49","indexId":"70048719","displayToPublicDate":"2015-01-01T11:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Science during crisis: the application of social science during major environmental crises","docAbstract":"Historical and contemporary experience suggests that science plays an increasingly critical role in governmental and institutional responses to major environmental crises. Recent examples include major western wildfires (2009), the Deepwater Horizon oil spill (2010), the Fukushima nuclear accident (2011), and Hurricane Sandy (2012).
\nThe application of science during such crises has several distinctive characteristics, as well as essential requirements if it is to be useful to decision makers. these include scope conditions that include coupled natural/human systems, clear statement of uncertainties and limitations, description of cascading consequences, accurate sense of place, estimates of magnitude of impacts, identification of beneficiaries and those adversely affected, clarity and conciseness, compelling visualization and presentation, capacity to speak \"truth to power\", and direct access to decision makers.
\nIn this chapter, we explore the role and significance of science – including all relevant disciplines and focusing attention on the social sciences – in responding to major environmental crises. We explore several important questions: How is science during crisis distinctive? What social science is most useful during crises? What distinctive characteristics are necessary for social science to make meaningful contributions to emergency response and recovery? How might the social sciences be integrated into the strategic science needed to respond to future crises?
\nThe authors, both members of the Department of the Interior's innovative Strategic Sciences Group, describe broad principles of engagement as well as specific examples drawn from history, contemporary efforts (such as during the Deepwater Horizon oil spill), and predictions of environmental crises still to be confronted.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding society and natural resources: forging new strands in integration across the social sciences","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer Netherlands","publisherLocation":"Netherlands","doi":"10.1007/978-94-017-8959-2_3","isbn":"978-94-017-8958-5","usgsCitation":"Machlis, G., and Ludwig, K., 2014, Science during crisis: the application of social science during major environmental crises, chap. of Understanding society and natural resources: forging new strands in integration across the social sciences, https://doi.org/10.1007/978-94-017-8959-2_3.","productDescription":"p. 47-65","startPage":"19","ipdsId":"IP-045117","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":289431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289430,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-94-017-8959-2_3"}],"noUsgsAuthors":false,"publicationDate":"2014-04-25","publicationStatus":"PW","scienceBaseUri":"54dd2aace4b08de9379b3178","contributors":{"editors":[{"text":"Manfredo, Michael J.","contributorId":127326,"corporation":false,"usgs":false,"family":"Manfredo","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":523233,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Vaske, Jerry J.","contributorId":114016,"corporation":false,"usgs":true,"family":"Vaske","given":"Jerry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":523231,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Rechkemmer, Andreas","contributorId":127323,"corporation":false,"usgs":true,"family":"Rechkemmer","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":523232,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Duke, Esther","contributorId":127327,"corporation":false,"usgs":true,"family":"Duke","given":"Esther","email":"","affiliations":[],"preferred":false,"id":523234,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Machlis, Gary","contributorId":65318,"corporation":false,"usgs":true,"family":"Machlis","given":"Gary","email":"","affiliations":[],"preferred":false,"id":523135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludwig, Kris","contributorId":127113,"corporation":false,"usgs":true,"family":"Ludwig","given":"Kris","email":"","affiliations":[],"preferred":false,"id":523136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046843,"text":"70046843 - 2014 - Soil: Organic Matter and Available Water Capacity","interactions":[],"lastModifiedDate":"2016-07-01T11:50:03","indexId":"70046843","displayToPublicDate":"2015-01-01T10:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Soil: Organic Matter and Available Water Capacity","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Encyclopedia of Natural Resources, Vol 1","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","isbn":"9781439852583","usgsCitation":"Huntington, T.G., 2014, Soil: Organic Matter and Available Water Capacity, chap. of The Encyclopedia of Natural Resources, Vol 1.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039517","costCenters":[],"links":[{"id":324741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324740,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Encyclopedia-of-Natural-Resources---Two-Volume-Set-Print/Wang/p/book/9781439852583"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57779435e4b07dd077c90626","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":117440,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518046,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70121031,"text":"70121031 - 2014 - Physical and biogeochemical controls on light attenuation in a eutrophic, back-barrier estuary","interactions":[],"lastModifiedDate":"2016-07-01T11:45:53","indexId":"70121031","displayToPublicDate":"2015-01-01T08:10:44","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Physical and biogeochemical controls on light attenuation in a eutrophic, back-barrier estuary","docAbstract":"Light attenuation is a critical parameter governing the ecological function of shallow estuaries. In these systems primary production is often dominated by benthic macroalgae and seagrass; thus light penetration to the bed is of primary importance. We quantified light attenuation in three seagrass meadows in Barnegat Bay, New Jersey, a shallow eutrophic back-barrier estuary; two of the sites were located within designated Ecologically Sensitive Areas (ESAs). We sequentially deployed instrumentation measuring photosynthetically active radiation, chlorophyll-a (chl-a) fluorescence, dissolved organic matter fluorescence (fDOM; a proxy for colored DOM absorbance), turbidity, pressure, and water velocity at 10 min intervals over three week periods at each site. At the southernmost site, where sediment availability was highest, light attenuation was highest and dominated by turbidity and to a lesser extent chl-a and CDOM. At the central site, chl-a dominated followed by turbidity and CDOM, and at the northernmost site turbidity and CDOM contributed equally to light attenuation. At a given site, the temporal variability of light attenuation exceeded the difference in median light attenuation at the three sites, indicating the need for continuous high-temporal resolution measurements. Vessel wakes, anecdotally implicated in increasing sediment resuspension, did not contribute to local resuspension within the seagrass beds, though frequent vessel wakes were observed in the channels. With regards to light attenuation and water clarity, physical and biogeochemical variables appear to outweigh any regulation of boat traffic within the ESAs.
","language":"English","publisher":"EGU","doi":"10.5194/bgd-11-12183-2014","usgsCitation":"Ganju, N., Miselis, J.L., and Aretxabaleta, A.L., 2014, Physical and biogeochemical controls on light attenuation in a eutrophic, back-barrier estuary: Biogeosciences, v. 11, p. 7193-7205, https://doi.org/10.5194/bgd-11-12183-2014.","productDescription":"13 p.","startPage":"7193","endPage":"7205","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057131","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bgd-11-12183-2014","text":"Publisher Index Page"},{"id":324738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57779433e4b07dd077c90603","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":1314,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":519242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aretxabaleta, Alfredo L. 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":5464,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":519243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}