The Mount Hood 30- by 60-minute quadrangle covers the axis and east flank of the Cascade Range in northern Oregon. Its namesake, Mount Hood volcano, dominates the view in the northwest quarter of the quadrangle, but the entire area is underlain by Oligocene and younger volcanic and volcaniclastic rocks of the Cascade Range. Since the time of the Columbia River Basalt Group about 15 million years (m.y.) ago, the locus and composition of Cascade Range volcanism have shifted sporadically across the map area. Andesitic eruptions were predominant in the western part from about 14 to 10 m.y. ago (Salmon and Sandy Rivers area), producing the Rhododendron Formation and overlying lava flows. From about 8 to 6.5 m.y. ago, lithic pyroclastic debris of the Dalles Formation was shed by chiefly andesitic volcanoes in the north-central part of the map area (Hood River valley escarpment). Andesitic to dacitic volcanism was again predominant about 5 to 3 m.y. ago, with known eruptive centers located from Lookout Mountain westward to Lolo Pass, probably including the area now occupied by Mount Hood. A major episode of mafic volcanism-basalt and basaltic andesite-began about 3-4 m.y. ago and lasted until about 2 m.y. ago. Volcanism since about 2 m.y. ago has been concentrated along the axis of the High Cascades. North and south of Mount Hood these youngest rocks are predominantly basaltic andesite lava flows; whereas at Mount Hood itself, andesite is predominant, forming pyroclastic and debris-flow deposits and lava flows.
\nThis geodatabase contains information derived from legacy mapping that was published in 1995 as U.S. Geological Survey Open-File Report 95-219. The main component of this publication is a geologic map database prepared using geographic information system (GIS) applications. Included are pdf files to view or print the map sheet, the accompanying pamphlet from Open-File Report 95-219, and links to the original publication, which is available as scanned files in pdf format.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds906","collaboration":"Oregon Department of Geology and Mineral Industries","usgsCitation":"Lina Ma, Sherrod, D.R., and Scott, W.E., 2014, Digital data for preliminary geologic map of the Mount Hood 30- by 60-minute quadrangle, northern Cascade Range, Oregon: U.S. Geological Survey Data Series 906, Report: 6 p.; Plate: 47.99 x 35.98 in.; 5 Tables, https://doi.org/10.3133/ds906.","productDescription":"Report: 6 p.; Plate: 47.99 x 35.98 in.; 5 Tables","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056523","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":296871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds906.jpg"},{"id":296863,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0906/"},{"id":296864,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0906/pdf/ds906_quickreferenceguide.pdf"},{"id":296865,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/0906/pdf/ds906_geologyplotfile.pdf"},{"id":296866,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0906/metadata.html"},{"id":296867,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0906/tables.html"},{"id":296868,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0906/downloads/ds906_esrishpfiles.zip"},{"id":296869,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0906/downloads/ds906_mapinfotabfiles.zip"},{"id":296870,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/0906/excelfiles.html"}],"country":"United States","state":"Oregon","otherGeospatial":"Northern Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.60693359374999,\n 41.983994270935625\n ],\n [\n -124.60693359374999,\n 46.164614496897094\n ],\n [\n -116.87255859374999,\n 46.164614496897094\n ],\n [\n -116.87255859374999,\n 41.983994270935625\n ],\n [\n -124.60693359374999,\n 41.983994270935625\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a6ae4b08de9379b3046","contributors":{"authors":[{"text":"Lina Ma","contributorId":130986,"corporation":false,"usgs":false,"family":"Lina Ma","affiliations":[{"id":7198,"text":"Oregon Department Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":537186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, William E. 0000-0001-8156-979X wescott@usgs.gov","orcid":"https://orcid.org/0000-0001-8156-979X","contributorId":1725,"corporation":false,"usgs":true,"family":"Scott","given":"William","email":"wescott@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":537188,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70136074,"text":"ofr20141226 - 2014 - Groundwater quality in central New York, 2012","interactions":[],"lastModifiedDate":"2014-12-22T16:18:25","indexId":"ofr20141226","displayToPublicDate":"2014-12-22T17:15:00","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":"2014-1226","title":"Groundwater quality in central New York, 2012","docAbstract":"Water samples were collected from 14 production wells and 15 private wells in central New York from August through December 2012 in a study conducted by the U.S. Geological Survey in cooperation with the New York State Department of Environmental Conservation. The samples were analyzed to characterize the groundwater quality in unconsolidated and bedrock aquifers in this area. Fifteen of the wells are finished in sand-and-gravel aquifers, and 14 are finished in bedrock aquifers. Six of the 29 wells were sampled in a previous central New York study, which was conducted in 2007. Water samples from the 2012 study were analyzed for 147 physiochemical properties and constituents, including major ions, nutrients, trace elements, radionuclides, pesticides, volatile organic compounds, dissolved gases (argon, carbon dioxide, methane, nitrogen, oxygen), and indicator bacteria. Results of the water-quality analyses are presented in tabular form for individual wells, and summary statistics for specific constituents are presented by aquifer type. The results are compared with Federal and New York State drinking-water standards, which typically are identical. The results indicate that the groundwater generally is of acceptable quality, although for all of the wells sampled, at least one of the following constituents was detected at a concentration that exceeded current or proposed Federal or New York State drinking-water standards: color (2 samples), pH (7 samples), sodium (9 samples), chloride (2 samples), fluoride (2 samples), sulfate (2 samples), dissolved solids (8 samples), aluminum (4 samples), arsenic (1 sample), iron (9 samples), manganese (13 samples), radon-222 (13 samples), total coliform bacteria (6 samples), and heterotrophic bacteria (2 samples). Drinking-water standards for nitrate, nitrite, antimony, barium, beryllium, cadmium, chromium, copper, lead, mercury, selenium, silver, thallium, zinc, gross alpha radioactivity, uranium, fecal coliform, and Escherichia coliwere not exceeded in any of the samples collected. None of the pesticides or volatile organic compounds analyzed exceeded drinking-water standards. Methane was detected in 11 sand-and-gravel wells and 9 bedrock wells. Five of the 14 bedrock wells had water with methane concentrations approaching 10 mg/L; water in one bedrock well had 37 mg/L of methane.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141226","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Reddy, J.E., 2014, Groundwater quality in central New York, 2012: U.S. Geological Survey Open-File Report 2014-1226, Report: v, 13 p., https://doi.org/10.3133/ofr20141226.","productDescription":"Report: v, 13 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-051719","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":296857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141226.jpg"},{"id":296854,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1226/"},{"id":296855,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1226/pdf/ofr2014-1226.pdf","size":"1.75 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296856,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1226/appendix/ofr2014-1226_appendix1.xlsx","text":"Appendix 1","size":"89.3 kB","linkFileType":{"id":3,"text":"xlsx"}}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.62939453125,\n 42.167475010395336\n ],\n [\n -77.62939453125,\n 43.75522505306928\n ],\n [\n -75.02014160156249,\n 43.75522505306928\n ],\n [\n -75.02014160156249,\n 42.167475010395336\n ],\n [\n -77.62939453125,\n 42.167475010395336\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a84e4b08de9379b30be","contributors":{"authors":[{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70136057,"text":"ds69II - 2014 - Map of assessed coalbed-gas resources in the United States, 2014","interactions":[],"lastModifiedDate":"2014-12-22T12:55:40","indexId":"ds69II","displayToPublicDate":"2014-12-22T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"II","title":"Map of assessed coalbed-gas resources in the United States, 2014","docAbstract":"This report presents a digital map of coalbed-gas resource assessments in the United States as part of the U.S. Geological Survey’s (USGS) National Assessment of Oil and Gas Project. Using a geology-based assessment methodology, the USGS quantitatively estimated potential volumes of undiscovered, technically recoverable natural gas resources within coalbed-gas assessment units (AUs). This is the third digital map product in a series of USGS unconventional oil and gas resource maps. The map plate included in this report can be printed in hardcopy form or downloaded in a Geographic Information System (GIS) data package, including an ArcGIS ArcMap document (.mxd), geodatabase (.gdb), and published map file (.pmf). In addition, the publication access table contains hyperlinks to current USGS coalbed-gas assessment publications and web pages.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69II","usgsCitation":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team, and Biewick, L., 2014, Map of assessed coalbed-gas resources in the United States, 2014: U.S. Geological Survey Data Series 69, Report: iii, 6 p.; Map: 46.00 x 35.00 inches; Table; Downloads Directory, https://doi.org/10.3133/ds69II.","productDescription":"Report: iii, 6 p.; Map: 46.00 x 35.00 inches; Table; Downloads Directory","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-01-01","temporalEnd":"2014-12-31","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69II.jpg"},{"id":296842,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/"},{"id":296843,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/pdf/dds69ii.pdf","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296844,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/downloads/DDS69II_plate1.pdf","text":"Map","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296845,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/downloads/table_1.pdf","text":"Table","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296846,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-ii/downloads/","text":"Downloads Directory"}],"projection":"Albers Equal Area Conic projection","datum":"North American Datum of 1983","country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8046875,\n 24.846565348219734\n ],\n [\n -124.8046875,\n 49.03786794532644\n ],\n [\n -66.533203125,\n 49.03786794532644\n ],\n [\n -66.533203125,\n 24.846565348219734\n ],\n [\n -124.8046875,\n 24.846565348219734\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -187.82226562499997,\n 51.069016659603896\n ],\n [\n -187.82226562499997,\n 71.13098770917023\n ],\n [\n -140.888671875,\n 71.13098770917023\n ],\n [\n -140.888671875,\n 51.069016659603896\n ],\n [\n -187.82226562499997,\n 51.069016659603896\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -175.341796875,\n 18.687878686034196\n ],\n [\n -175.341796875,\n 26.745610382199022\n ],\n [\n -153.8525390625,\n 26.745610382199022\n ],\n [\n -153.8525390625,\n 18.687878686034196\n ],\n [\n -175.341796875,\n 18.687878686034196\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"U.S. Geological Survey National Assessment of Oil and Gas Resources Project","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a94e4b08de9379b3110","contributors":{"authors":[{"text":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","contributorId":128233,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey National Assessment of Oil and Gas Resources Team","id":537065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biewick, Laura R. H. (compiler) lbiewick@usgs.gov","contributorId":92561,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura R. H.","suffix":"(compiler)","email":"lbiewick@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":537066,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133977,"text":"sir20145217 - 2014 - Abundance of host fish and frequency of glochidial parasitism in fish assessed in field and laboratory settings and frequency of juvenile mussels or glochidia recovered from hatchery-held fish, central and southeastern Texas, 2012-13","interactions":[],"lastModifiedDate":"2016-08-05T12:03:03","indexId":"sir20145217","displayToPublicDate":"2014-12-22T11:00:00","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":"2014-5217","title":"Abundance of host fish and frequency of glochidial parasitism in fish assessed in field and laboratory settings and frequency of juvenile mussels or glochidia recovered from hatchery-held fish, central and southeastern Texas, 2012-13","docAbstract":"In 2012–13, the U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS), completed the first phase of a two-phase study of mussel host-fish relations for five endemic mussel species in central and southeastern Texas that were State-listed as threatened on January 17, 2010: (1) Texas fatmucket (Lampsilis bracteata), (2) golden orb (Quadrula aurea), (3) smooth pimpleback (Quadrula houstonensis), (4) Texas pimpleback (Quadrula petrina), and (5) Texas fawnsfoot (Truncilla macrodon). On October 6, 2011, the USFWS announced the completion of a status review and determined that the five mussel species warranted listing under the Endangered Species Act; however, listing of these species at that time was precluded by higher priority listing actions, and currently (December 2014), they remained unlisted.
\n\n
Freshwater mussels are long-lived, sedentary organisms that spend their larval stage as obligate parasites on the gills or fins of fishes, and many of these larvae, which are referred to as “glochidia,” can survive only on a narrow range of host-fish species. Results from both study phases are likely to provide information useful for propagation of rare mussels, reintroduction of host fish, population and reproduction monitoring, habitat restoration and enhancement, and adaptive management.
\n\n
The abundance of host fish, frequency of parasitism in fish, and frequency of juvenile mussels or glochidia recovered from hatchery-held fish was assessed by collecting fish and mussels at 14 sites distributed among seven streams in central and southeastern Texas (juvenile mussels and glochidia were not differentiated in hatchery-held fish). All fish collected and assessed in this study were wild-caught. Qualitative surveys of the resident mussel communities were made, focusing on the five candidate species. A subsample (3 percent in 2012 and 19 percent in 2013) of the fish collected during aquatic biota surveys was submitted to the USFWS San Marcos National Fish Hatchery and Technology Center to collect juvenile mussels and glochidia recovered from the host fish, which were held for 28 days in holding tanks to allow time for most of the attached glochidia to release from the gills of the fish after transforming into juvenile mussels. All fish not sent to the hatchery were assessed for glochidia in the field or in the USGS Texas Water Science Center laboratory in Austin, Tex. Juvenile mussels and glochidia that were recovered from fish at the hatchery were submitted for use in the second phase of this study, the development of deoxyribonucleic acid (DNA) identification keys to determine mussel and host-fish relationships through DNA-based molecular identification (DNA typing of the juvenile mussels and glochidia). Reporting on the results of DNA-based molecular identification research is beyond the scope of this report.
\n\n
In 2012, the majority of the fish that were collected, in terms of total number and species types, belonged to the sunfish family Centrarchidae (centrarchids; 1,277 individuals and at least 10 species). Redbreast sunfish (Lepomis auritus) was the most common species collected in 2012 (603 individuals), but the largemouth bass (Micropterus salmoides) species was caught at all 10 sites. The largest number of species (19) was collected at the San Saba Menard site (San Saba River near Menard, Tex.) on May 22, 2012.
\n\n
In 2013, most of the fish that were collected, in terms of total number and species types, were centrarchids (763 individuals) and cyprinids (10 species), respectively. Blacktail shiner (Cyprinella venusta) was the most common species collected in 2013 (287 individuals), but bluegill (Lepomis macrochirus) was the only species that was caught at all nine sites. The largest number of individuals (382) and species (19) was collected from the Colorado Columbus site (Colorado River near Columbus, Tex.) on June 11, 2013.
\n\n
A minimum of two fish (any species) parasitized with glochidia was collected from each of the 10 sites sampled during 2012. The highest percentage of parasitized fish (19.1 percent) was measured at the Guadalupe Victoria site (Guadalupe River near Victoria, Tex.). The catfish family Ictaluridae (ictalurids) exhibited the highest proportion of parasitized fish (12.1 percent). Of the nine sites sampled in 2013, the Pedernales Fredericksburg site (Pedernales River near Fredericksburg, Tex.) had the highest proportion of parasitized fish at 22.7 percent. Ictalurids again exhibited the highest frequency of parasitism (26.5 percent).
\n\n
Of the fish that were not sent to the hatchery but assessed for glochidia in the field or in the laboratory in 2012, at least 13 species were parasitized, and longear sunfish (Lepomis megalotis) was the species with the highest percentage of parasitized individuals (17.3 percent). Of the fish that were not sent to the hatchery but assessed for glochidia in the field or in the laboratory in 2013, only eight species were parasitized, and flathead catfish (Pylodictis olivaris) was the species with the highest percentage of parasitized individuals (42.9 percent).
\n\n
With the exception of the San Antonio Charco site, fish were submitted to the hatchery from all sampling sites in 2013. During the first sampling period in 2013 (April 1–5), slightly more than half (16 out of 29) of the fish species (on a per site basis) that were submitted to the hatchery released juvenile mussels and glochidia. Compared to the other sampling periods in 2013, substantially fewer glochidia per fish were present on fish submitted to the hatchery during the second sampling period in 2013 (April 29–May 2). Although only two sites were sampled during the third sampling period in 2013 (June 10–11), more juvenile mussels and glochidia were recovered at the hatchery during this sampling period (107) than were recovered during the first two sampling periods in 2013 combined (102). An average of 17 juvenile mussels or glochidia was recovered per largemouth bass submitted to the hatchery from the Guadalupe Victoria site during the third sampling period.
\n\n
A total of 19 fish species collected at nine sites was submitted to the hatchery in 2013, and 14 of these species had juvenile mussels or glochidia that were recovered at the hatchery. The three most productive species, in terms of the average number of juvenile mussels or glochidia recovered, were longear sunfish, spotted bass, and largemouth bass, each of which averaged more than two juvenile mussels or glochidia recovered per individual.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145217","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Braun, C.L., Stevens, C.L., Echo-Hawk, P.D., Johnson, N.A., and Moring, J., 2014, Abundance of host fish and frequency of glochidial parasitism in fish assessed in field and laboratory settings and frequency of juvenile mussels or glochidia recovered from hatchery-held fish, central and southeastern Texas, 2012-13: U.S. Geological Survey Scientific Investigations Report 2014-5217, v, 53 p., https://doi.org/10.3133/sir20145217.","productDescription":"v, 53 p.","numberOfPages":"63","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-055845","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":296840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145217.jpg"},{"id":296830,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5217/"},{"id":296839,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5217/pdf/sir2014-5217.pdf","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Albers Equal Area projection","datum":"North American Datum of 1983","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 -106.63330078125,\n 25.859223554761407\n ],\n [\n -106.63330078125,\n 36.58024660149866\n ],\n [\n -93.44970703125,\n 36.58024660149866\n ],\n [\n -93.44970703125,\n 25.859223554761407\n ],\n [\n -106.63330078125,\n 25.859223554761407\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a4fe4b08de9379b2fd7","contributors":{"authors":[{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Charrish L.","contributorId":127550,"corporation":false,"usgs":false,"family":"Stevens","given":"Charrish","email":"","middleInitial":"L.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":537052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Echo-Hawk, Patricia D.","contributorId":127551,"corporation":false,"usgs":false,"family":"Echo-Hawk","given":"Patricia","email":"","middleInitial":"D.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":537054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":537055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moring, James B. jbmoring@usgs.gov","contributorId":1509,"corporation":false,"usgs":true,"family":"Moring","given":"James B.","email":"jbmoring@usgs.gov","affiliations":[],"preferred":false,"id":537056,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70133442,"text":"sir20145210 - 2014 - Chemical and biological quality of water in Grand Lake St. Marys, Ohio, 2011-12, with emphasis on cyanobacteria","interactions":[],"lastModifiedDate":"2014-12-22T09:33:22","indexId":"sir20145210","displayToPublicDate":"2014-12-22T10:30:00","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":"2014-5210","title":"Chemical and biological quality of water in Grand Lake St. Marys, Ohio, 2011-12, with emphasis on cyanobacteria","docAbstract":"Grand Lake St. Marys (GLSM) is a shallow lake in northwest Ohio, which is about 9 miles long and 3 miles wide with depths averaging less than 8 feet. Cyanobacteria blooms are common in GLSM, and high concentrations of microcystins—toxins produced by cyanobacteria—have been documented therein. During 2011–12, the U.S. Geological Survey collected 11 sets of water samples at 6 locations in the lake. The water samples were analyzed for concentrations of nutrients, chlorophyll, and microcystin and to determine plankton community structure and abundance. Analysis by quantitative polymerase chain reaction (qPCR) and quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was used to identify the relations between microcystin concentrations and Planktothrix and Microcystisgenotypes (toxic versus non-toxic). The qPCR analysis targets deoxyribonucleic acid (DNA) genes and quantifies the potential for toxin production, whereas the qRT-PCR analysis targets ribonucleic acid (RNA) transcripts and quantifies the expression of the toxin gene. Water samples were collected six times at one site for analyses of major ions and trace elements. In addition, field measurements were made to determine transparency, temperature, dissolved oxygen, pH, and specific conductance of the water.
\n\n
GLSM is shallow with a long fetch, which contributes to the warm and turbid water conditions. Secchi-disk measurements generally ranged from 0.2 to 0.3 meters, and summer water temperatures in GLSM frequently exceed 25 degrees Celsius (°C), with peak temperatures greater than 30 °C. Dissolved oxygen readings below 0.5 milligrams per liter (mg/L) occurred at the lake bottom, which can lead to the internal recycling of phosphorus in the lake.
\n\n
Phytoplankton analyses indicated that GLSM is dominated by cyanobacteria with Planktothrix, the dominant genera during 2011–12. Nitrate ranged from 0.19 to 3.23 mg/L, although concentrations in most samples were less than 1 mg/L. Total nitrogen concentrations ranged from 1.86 to 5.42 mg/L. Orthophosphate (as P) concentrations ranged from less than 0.004 to 0.067 mg/L, although concentrations of most samples were less than 0.004 mg/L. Total phosphorus (as P) concentrations ranged from 0.12 to 0.43 mg/L. Microcystin concentrations ranged from 7.3 to 83 micrograms per liter.
\n\n
Microcystin concentrations were correlated to cyanobacteria biovolumes, and to concentrations of one ion (sodium) and three trace elements (molybdenum, antimony, and lithium). Concentrations of toxin genes (mcyE) determined by qPCR were consistently low forMicrocystis and consistently high for Planktothrix throughout both sampling years. Concentrations of cyanobacteria found by qPCR were correlated to microcystin concentrations, cyanobacteria biovolumes, selected nutrient concentrations, and other parameters. Results from qRT-PCR assays showed that toxin gene expression was predominantly from the genus Planktothrix, and concentrations of the RNA transcript varied throughout the two sampling years. A number of conditions that may play a role in the dominance ofPlanktothrix and the production of microcystin were identified including water temperature; low-light transmission; low concentrations of silica and manganese; and relatively high concentrations of sodium, sulfate, and the trace elements of strontium, vanadium, and boron.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145210","collaboration":"Prepared in cooperation with the Ohio Water Development Authority; the Ohio Department of Natural Resources, Ohio State Parks; and the City of Celina, Water Treatment Plant","usgsCitation":"Dumouchelle, D.H., and Stelzer, E.A., 2014, Chemical and biological quality of water in Grand Lake St. Marys, Ohio, 2011-12, with emphasis on cyanobacteria: U.S. Geological Survey Scientific Investigations Report 2014-5210, Report: viii, 51 p.; 5 Appendixes, https://doi.org/10.3133/sir20145210.","productDescription":"Report: viii, 51 p.; 5 Appendixes","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-054452","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":296838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145210.jpg"},{"id":296831,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5210/"},{"id":296832,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5210/pdf/sir20145210.pdf","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296833,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5210/downloads/Appendix1_USGS_Water-Quality_Data_SIR20145210.xlsx","text":"Appendix 1","size":"39 kB","linkFileType":{"id":3,"text":"xlsx"}},{"id":296834,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5210/downloads/Appendix2_Plankton-data_SIR20145210/","text":"Appendix 2"},{"id":296835,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5210/downloads/Appendix3_OEPA-water-quality-data_SIR20145210","text":"Appendix 3"},{"id":296836,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5210/downloads/Appendix4_DNA-and-RNA-methods-results_SIR20145210.docx","text":"Appendix 4","size":"23 kB"},{"id":296837,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5210/downloads/Appendix5_Quality-Assurance_Quality-Control_SIR20145210","text":"Appendix 5"}],"scale":"24000","projection":"State Plane Ohio North projection","datum":"North American Datum of 1983","country":"United States","state":"Ohio","otherGeospatial":"Grand Lake St. Marys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.57481384277344,\n 40.49056515559304\n ],\n [\n -84.57481384277344,\n 40.549287249082035\n ],\n [\n -84.41619873046875,\n 40.549287249082035\n ],\n [\n -84.41619873046875,\n 40.49056515559304\n ],\n [\n -84.57481384277344,\n 40.49056515559304\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ee4b08de9379b3016","contributors":{"authors":[{"text":"Dumouchelle, Denise H. ddumouch@usgs.gov","contributorId":1847,"corporation":false,"usgs":true,"family":"Dumouchelle","given":"Denise","email":"ddumouch@usgs.gov","middleInitial":"H.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525209,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103863,"text":"fs20143046 - 2014 - Effects of projected climate (2011–50) on karst hydrology and species vulnerability—Edwards aquifer, south-central Texas, and Madison aquifer, western South Dakota","interactions":[],"lastModifiedDate":"2019-11-11T12:09:34","indexId":"fs20143046","displayToPublicDate":"2014-12-22T09:15:00","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":"2014-3046","title":"Effects of projected climate (2011–50) on karst hydrology and species vulnerability—Edwards aquifer, south-central Texas, and Madison aquifer, western South Dakota","docAbstract":"Karst aquifers—formed by the dissolution of soluble rocks such as limestone—are critical groundwater resources in North America, and karst springs, caves, and streams provide habitat for unique flora and fauna. Springflow and groundwater levels in karst terrane can change greatly over short time scales, and therefore are likely to respond rapidly to climate change. How might the biological communities and ecosystems associated with karst respond to climate change and accompanying changes in groundwater levels and springflow?
\nSites in two central U.S. regions—the Balcones Escarpment of south-central Texas and the Black Hills of western South Dakota (fig. 1)—were selected to study climate change and its potential effects on the local karst hydrology and ecosystem. The ecosystems associated with the Edwards aquifer (Balcones Escarpment region) and Madison aquifer (Black Hills region) support federally listed endangered and threatened species and numerous State-listed species of concern, including amphibians, birds, insects, and plants. Full results are provided in Stamm and others (2014), and are summarized in this fact sheet.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143046","collaboration":"Prepared in cooperation with the Department of Interior South-Central Climate Science Center","usgsCitation":"Mahler, B.J., Stamm, J.F., Symstad, A.J., Poteet, M.F., Musgrove, MaryLynn, Long, A.J., and Norton, P.A., 2015, Effects of projected climate (2011–50) on karst hydrology and species vulnerability—Edwards aquifer, south-central Texas, and Madison aquifer, western South Dakota: U.S. Geological Survey Fact Sheet 2014–3046, 4 p., https://dx.doi.org/10.3133/fs20143046.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051145","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":312205,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3046/fs20143046.pdf","text":"Report","size":"1.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2014-3046"},{"id":312203,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2014/3046/coverthb.jpg"}],"country":"United States","state":"South Dakota, Texas","otherGeospatial":"Balcones Escarpment, Black Hills, Edwards Aquifer, Madison Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.99658203125,\n 43.11702412135048\n ],\n [\n -103.095703125,\n 43.11702412135048\n ],\n [\n -103.095703125,\n 44.809121700077355\n ],\n [\n -103.99658203125,\n 44.809121700077355\n ],\n [\n -103.99658203125,\n 43.11702412135048\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.21728515624999,\n 28.246327971048842\n ],\n [\n -96.9873046875,\n 28.246327971048842\n ],\n [\n -96.9873046875,\n 31.147006308556566\n ],\n [\n -100.21728515624999,\n 31.147006308556566\n ],\n [\n -100.21728515624999,\n 28.246327971048842\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Climate Change and Wildlife Science Center (NCCWSC)
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 516
Reston, VA 20192
https://nccwsc.usgs.gov/karst
Concern for future water supplies in Tennessee has grown in recent years as a result of increased awareness of competing needs, the impact of droughts, and the need for more water to support growing populations. The U.S. Geological Survey conducts investigations to improve the knowledge about interactions of geology, climate, humans, and ecosystems with the water cycle, which is critical to understanding and optimizing water availability. The Hixson Utility District in Hamilton County, Tennessee, uses groundwater resources in the Cave Springs area as a water supply, withdrawing water from two well fields located at Cave Springs and Walkers Corner. Historically, Hixson Utility District has withdrawn about 5 million gallons per day (Mgal/d) at the Cave Springs well field and between 2 and 3 Mgal/d at the Walkers Corner well field. To assess the capacity of the groundwater resources in the Cave Springs area to meet future demands, four different scenarios of increased groundwater withdrawals were analyzed using computer model simulations.
\n\n
In the study area, groundwater is present in both regolith and bedrock. Groundwater flow in the regolith occurs as diffuse flow as recharge from precipitation moves through the regolith to discharge to streams and springs or to the underlying bedrock. Most of the bedrock in the study area has low primary porosity and permeability; however, fracturing and dissolution have produced substantial secondary porosity and permeability. Groundwater flow through the bedrock occurs as both diffuse and conduit flow. Recharge to the aquifer is from two distinct sources: direct infiltration of precipitation and losing streams. A major source of recharge to the aquifer that supplies Cave Springs is surface water that is lost from North Chickamauga Creek as it flows from the Cumberland Plateau onto the Newman Limestone. Average annual streamflow loss (groundwater recharge) from this reach of North Chickamauga Creek for the period November 2000 through June 2006 is about 18 cubic feet per second (ft3/s). Groundwater leaves the aquifer as either discharge to North Chickamauga Creek, Poe Branch, and Lick Branch; discharge to Chickamauga Lake; spring flow to Cave Springs or Rogers Spring; or withdrawals at the Cave Springs or Walkers Corner well fields.
\n\n
Using computer model simulations, four scenarios of increased groundwater withdrawals were analyzed. Each of these four scenarios are compared to a base-case simulation that uses groundwater withdrawal rates from 2012 of 5.1 Mgal/d from the Cave Springs well field and 2.7 Mgal/d from the Walkers Corner well field. Under scenarios A and B, pumpage is increased at Cave Springs by 2 Mgal/d and 5 Mgal/d, respectively, while pumpage at Walkers Corner remains unchanged. Under scenarios C and D, pumpage is increased at Walkers Corner by 2.6 Mgal/d and 4.5 Mgal/d, respectively, while pumpage at Cave Springs remains unchanged. The effects of the increased withdrawals were analyzed by comparing water budget changes of the groundwater discharges to Chickamauga Lake, North Chickamauga Creek, Cave Springs, Poe Branch, and Lick Branch/Rogers Spring for each of the scenarios and evaluating changes in groundwater levels at the well fields.
\n\n
Under scenarios A and B, the largest change in the water budget occurs for flow to Cave Springs with decreases of 1.9 and 4.7 ft3/s, respectively. Similarly, groundwater discharge to North Chickamauga Creek decreases by 1.0 ft3/s and 2.6 ft33/s, respectively. Under scenarios C and D, the largest change in the water budget occurs for flow to Chickamauga Lake with decreases of 1.3 ft3/s and 2.3 ft3/s, respectively. Similarly, groundwater discharge to North Chickamauga Creek decreases by 1.1 ft3/s and 2.1 ft3/s, respectively. Changes in groundwater levels at the well fields were also analyzed. At the Cave Springs well field, maximum declines in groundwater levels due to additional pumpage are less than 1 foot for all scenarios. Groundwater level changes at the Cave Springs well field are small due to the highly transmissive nature of the aquifer in this location. Maximum groundwater-level declines at Walkers Corner are less than 1 foot for scenarios A and B and about 52 feet and 82 feet for scenarios C and D, respectively. Under scenarios C and D, the regional potentiometric surface shows a large cone of depression centered on the Walkers Corner well field and elongated along geologic strike.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145222","collaboration":"Prepared in cooperation with the Hixson Utility District","usgsCitation":"Haugh, C.J., 2014, Simulated effects of increased groundwater withdrawals in the Cave Springs area, Hixson, Tennessee: U.S. Geological Survey Scientific Investigations Report 2014-5222, v, 28 p., https://doi.org/10.3133/sir20145222.","productDescription":"v, 28 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055468","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":296826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145222.jpg"},{"id":296825,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5222/pdf/sir2014-5222.pdf","size":"4.52 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296824,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5222/"}],"scale":"100000","country":"United States","state":"Tennessee","city":"Chattanooga","otherGeospatial":"Cave Springs, Hixson","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.37063598632812,\n 35.206355445199605\n ],\n [\n -85.37063598632812,\n 35.570214567965984\n ],\n [\n -84.90234375,\n 35.570214567965984\n ],\n [\n -84.90234375,\n 35.206355445199605\n ],\n [\n -85.37063598632812,\n 35.206355445199605\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ab3e4b08de9379b318e","contributors":{"authors":[{"text":"Haugh, Connor J. 0000-0002-5204-8271 cjhaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":3932,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor","email":"cjhaugh@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537031,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70129333,"text":"cir1402 - 2014 - The National Climate Change and Wildlife Science Center annual report for 2013","interactions":[],"lastModifiedDate":"2018-04-24T14:10:44","indexId":"cir1402","displayToPublicDate":"2014-12-19T10:45:00","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":"1402","title":"The National Climate Change and Wildlife Science Center annual report for 2013","docAbstract":"In 2008, Congress created the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Geological Survey (USGS). The center was formed to respond to the demands of natural resource managers for rigorous scientific information and effective tools for assessing and responding to climate change. Located at the USGS National Headquarters in Reston, Va., the NCCWSC has invested more than $93 million (through FY13) in cutting-edge climate change research and, in response to Secretarial Order No. 3289, established and is managing eight regional Department of Interior (DOI) Climate Science Centers (CSCs). In 2013:
\n\n
\n
\n
\n
\n
\n
\n
\n
Learn more about these achievements in The National Climate Change and Wildlife Science Center Annual Report for 2013.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1402","usgsCitation":"Varela-Acevedo, E., 2014, The National Climate Change and Wildlife Science Center annual report for 2013: U.S. Geological Survey Circular 1402, v, 31 p., https://doi.org/10.3133/cir1402.","productDescription":"v, 31 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057023","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":296820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1402.jpg"},{"id":296818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1402/"},{"id":296819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1402/pdf/circ1402.pdf","size":"4.22 MB","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2abee4b08de9379b31c6","contributors":{"authors":[{"text":"Varela-Acevedo, Elda evarela-acevedo@usgs.gov","contributorId":292,"corporation":false,"usgs":true,"family":"Varela-Acevedo","given":"Elda","email":"evarela-acevedo@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":519829,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70134240,"text":"sir20145214 - 2014 - Analysis of floods, including the tropical storm Irene inundation, of the Ottauquechee River in Woodstock, Bridgewater, and Killington and of Reservoir Brook in Bridgewater and Plymouth, Vermont","interactions":[],"lastModifiedDate":"2014-12-18T15:26:24","indexId":"sir20145214","displayToPublicDate":"2014-12-18T16:15:00","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":"2014-5214","title":"Analysis of floods, including the tropical storm Irene inundation, of the Ottauquechee River in Woodstock, Bridgewater, and Killington and of Reservoir Brook in Bridgewater and Plymouth, Vermont","docAbstract":"Digital flood-inundation maps were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers, New York District for a 25-mile reach of the Ottauquechee River and a 2-mile reach of Reservoir Brook in Vermont. The reach of the Ottauquechee River that was studied extends from River Road Bridge in Killington, Vt., to the Taftsville Dam in the village of Taftsville, in the town of Woodstock, Vt., and the reach of Reservoir Brook extends from a location downstream from the Woodward Reservoir in Plymouth, Vt., to its confluence with the Ottauquechee River in Bridgewater, Vt. The inundation maps depict estimates of the areal extent of flooding corresponding to the 1-percent annual exceedance probability (AEP) flood (also referred to as the 100-year flood) and the peak of the tropical storm Irene flood of August 28, 2011, which was greater than the 0.2-percent AEP flood (also referred to as the 500-year flood), as referenced to the USGS Ottauquechee River near West Bridgewater, Vt. streamgage (station 01150900).
\n\n
In addition to the two digital flood inundation maps, flood profiles were created that depict the study reach flood elevation of tropical storm Irene of August 2011 and the 10-, 2-, 1-, and 0.2-percent AEP floods, also known as the 10-, 50-, 100-, and 500-year floods, respectively. The 10-, 2-, 1-, and 0.2-percent AEP flood discharges were determined using annual peak flow data from the USGS Ottauquechee River near West Bridgewater, Vt. streamgage (station 01150900). Flood profiles were computed for the Ottauquechee River and Reservoir Brook by means of a one-dimensional step-backwater model. The model was calibrated using documented high-water marks of the peak of the tropical storm Irene flood of August 2011 as well as stage discharge data as determined for USGS Ottauquechee River near West Bridgewater, Vt. streamgage (station 01150900). The simulated water-surface profiles were combined with a digital elevation model within a geographic information system to delineate the areas flooded during tropical storm Irene and for the 1-percent AEP water-surface profile. The digital elevation model data were derived from light detection and ranging (lidar) data obtained for a 3,281-foot (1,000-meter) corridor along the Ottauquechee River study reach and were augmented with 33-foot (10- meter) contour interval data in the modeled flood-inundation areas outside the lidar corridor. The 33-foot (10-meter) contour interval USGS 15-minute quadrangle topographic digital raster graphics map used to augment lidar data was produced at a scale of 1:24,000. The digital flood inundation maps and flood profiles along with information regarding current stage from USGS streamgages on the Internet provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145214","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Flynn, R.H., 2014, Analysis of floods, including the tropical storm Irene inundation, of the Ottauquechee River in Woodstock, Bridgewater, and Killington and of Reservoir Brook in Bridgewater and Plymouth, Vermont: U.S. Geological Survey Scientific Investigations Report 2014-5214, Report: vii, 11 p.; Readme; 5 Appendixes, https://doi.org/10.3133/sir20145214.","productDescription":"Report: vii, 11 p.; Readme; 5 Appendixes","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055865","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":296815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145214.jpg"},{"id":296807,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5214/"},{"id":296808,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5214/pdf/sir2014-5214.pdf","size":"2.25 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296809,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2014/5214/appendix/sir2014-5214_app-readme.txt","text":"Appendix 1-5 Readme","size":"14 kB"},{"id":296810,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5214/appendix/sir2014-5214_apend01.pdf","text":"Appendix 1","size":"7.71 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296811,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5214/appendix/sir2014-5214_apend02.pdf","text":"Appendix 2","size":"172 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296812,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5214/appendix/sir2014-5214_apend03.pdf","text":"Appendix 3","size":"140 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":296813,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5214/appendix/sir2014-5214_apend04.pdf","text":"Appendix 4","size":"59 kB","linkFileType":{"id":1,"text":"pdf"}},{"id":296814,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5214/appendix/sir2014-5214_apend05.pdf","text":"Appendix 5","size":"55.3 kB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Vermont","otherGeospatial":"Ottauquechee River, Reservoir Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.74871826171875,\n 43.511708955963776\n ],\n [\n -72.74871826171875,\n 43.7572088788494\n ],\n [\n -72.23236083984375,\n 43.7572088788494\n ],\n [\n -72.23236083984375,\n 43.511708955963776\n ],\n [\n -72.74871826171875,\n 43.511708955963776\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a54e4b08de9379b2fe6","contributors":{"authors":[{"text":"Flynn, Robert H. rflynn@usgs.gov","contributorId":2137,"corporation":false,"usgs":true,"family":"Flynn","given":"Robert","email":"rflynn@usgs.gov","middleInitial":"H.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525746,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70134861,"text":"fs20143121 - 2014 - The Caloosahatchee River Estuary: a monitoring partnership between Federal, State, and local governments, 2007-13","interactions":[],"lastModifiedDate":"2014-12-18T14:55:44","indexId":"fs20143121","displayToPublicDate":"2014-12-18T15:45:00","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":"2014-3121","title":"The Caloosahatchee River Estuary: a monitoring partnership between Federal, State, and local governments, 2007-13","docAbstract":"The tidal Caloosahatchee River and downstream estuaries have substantial environmental, recreational, and economic value for southwest Florida residents and visitors. Modifications to the Caloosahatchee River watershed have altered the predevelopment hydrology, thereby threatening the environmental health of estuaries in the area. Hydrologic monitoring of the freshwater contributions from tributaries to the tidal Caloosahatchee River and its estuaries is necessary to adequately describe the total freshwater inflow and constituent loads to the delicate estuarine system.
\n\n
From 2007 to 2013, the U.S. Geological Survey (USGS), in cooperation with the Florida Department of Environmental Protection (FDEP) and the South Florida Water Management District (SFWMD), operated a flow and salinity monitoring network at tributaries flowing into and at key locations within the tidal Caloosahatchee River. This network was designed to supplement existing long-term monitoring stations, such as W.P. Franklin Lock, also known as S–79, which are operated by the USGS in cooperation with the U.S. Army Corps of Engineers, Lee County, and the City of Cape Coral. Additionally, a monitoring station was operated on Sanibel Island from 2010 to 2013 as part of the USGS Greater Everglades Priority Ecosystem Science initiative and in partnership with U.S. Fish and Wildlife Service (J.N. Ding Darling National Wildlife Refuge). Moving boat water-quality surveys throughout the tidal Caloosahatchee River and downstream estuaries began in 2011 and are ongoing. Information generated by these monitoring networks has proved valuable to the FDEP for developing total maximum daily load criteria, and to the SFWMD for calibrating and verifying a hydrodynamic model. The information also supports the Caloosahatchee River Watershed Protection Plan.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143121","collaboration":"Prepared in cooperation with the Florida Department of Environmental Protection and the South Florida Water Management District","usgsCitation":"Patino, E., 2014, The Caloosahatchee River Estuary: a monitoring partnership between Federal, State, and local governments, 2007-13: U.S. Geological Survey Fact Sheet 2014-3121, 4 p., https://doi.org/10.3133/fs20143121.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056907","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":296806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143121.jpg"},{"id":296803,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3121/"},{"id":296804,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3121/pdf/fs2014-3121.pdf","size":"760 kB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Florida","otherGeospatial":"Caloosahatchee River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.15713500976562,\n 26.394329964650204\n ],\n [\n -82.15713500976562,\n 26.713720362159552\n ],\n [\n -81.66000366210938,\n 26.713720362159552\n ],\n [\n -81.66000366210938,\n 26.394329964650204\n ],\n [\n -82.15713500976562,\n 26.394329964650204\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2abee4b08de9379b31c4","contributors":{"authors":[{"text":"Patino, Eduardo 0000-0003-1016-3658 epatino@usgs.gov","orcid":"https://orcid.org/0000-0003-1016-3658","contributorId":1743,"corporation":false,"usgs":true,"family":"Patino","given":"Eduardo","email":"epatino@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":526631,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70119847,"text":"70119847 - 2014 - Genetic diversity and demography of two endangered captive pronghorn subspecies from the Sonoran Desert","interactions":[],"lastModifiedDate":"2015-01-13T09:33:09","indexId":"70119847","displayToPublicDate":"2014-12-18T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity and demography of two endangered captive pronghorn subspecies from the Sonoran Desert","docAbstract":"Species that have experienced population reduction provide valuable case studies for understanding genetic responses to demographic change. Pronghorn (Antilocapra americana) were once widespread across the North American plains but were subject to drastic population reductions due to overexploitation and habitat fragmentation during the late 19th and early 20th centuries. A. a. peninsularis and A. a. sonoriensis, 2 pronghorn subspecies that inhabit the southern edge of the species' distribution, are almost extinct and now breed almost exclusively in captivity. We therefore sequenced the complete mitochondrial control region and genotyped 18 microsatellite loci in 109 individuals to evaluate the impact of population bottlenecks, captive breeding, small population sizes, and isolation on the genetic composition of captive populations of these 2 subspecies. We found extremely low levels of genetic diversity in both subspecies. The 2 subspecies showed high and significant genetic differentiation, indicating the absence of historic and recent gene flow despite their geographic proximity within the Sonoran Desert. Historical effective population size estimates for the 2 subspecies were inferred to be similar, whereas the Sonoran pronghorn has a contemporary effective size (Ne) more than twice as high as the Peninsular subspecies. Our findings suggest the need for careful genetic management of both subspecies in order to minimize the further loss of genetic variability.
","language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/13-MAMM-A-321","usgsCitation":"Klimova, A., Munguia-Vega, A., Hoffman, J.I., and Culver, M., 2014, Genetic diversity and demography of two endangered captive pronghorn subspecies from the Sonoran Desert: Journal of Mammalogy, v. 95, no. 6, p. 1263-1277, https://doi.org/10.1644/13-MAMM-A-321.","productDescription":"15 p.","startPage":"1263","endPage":"1277","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056777","costCenters":[{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":472571,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/13-mamm-a-321","text":"Publisher Index Page"},{"id":296801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America, Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.93847656250001,\n 24.367113562651262\n ],\n [\n -116.93847656250001,\n 35.04798673426734\n ],\n [\n -107.314453125,\n 35.04798673426734\n ],\n [\n -107.314453125,\n 24.367113562651262\n ],\n [\n -116.93847656250001,\n 24.367113562651262\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a7ce4b08de9379b309a","contributors":{"authors":[{"text":"Klimova, Anastasia","contributorId":131029,"corporation":false,"usgs":false,"family":"Klimova","given":"Anastasia","email":"","affiliations":[],"preferred":false,"id":536968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munguia-Vega, Adrian","contributorId":56909,"corporation":false,"usgs":false,"family":"Munguia-Vega","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":536969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoffman, Joseph I.","contributorId":131030,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joseph","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":536970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":519214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70135050,"text":"70135050 - 2014 - Understanding the magnitude dependence of PGA and PGV in NGA-West 2 data","interactions":[],"lastModifiedDate":"2017-05-16T10:54:45","indexId":"70135050","displayToPublicDate":"2014-12-18T11:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the magnitude dependence of PGA and PGV in NGA-West 2 data","docAbstract":"The Next Generation Attenuation‐West 2 (NGA‐West 2) 2014 ground‐motion prediction equations (GMPEs) model ground motions as a function of magnitude and distance, using empirically derived coefficients (e.g., Bozorgniaet al., 2014); as such, these GMPEs do not clearly employ earthquake source parameters beyond moment magnitude (M) and focal mechanism. To better understand the magnitude‐dependent trends in the GMPEs, we build a comprehensive earthquake source‐based model to explain the magnitude dependence of peak ground acceleration and peak ground velocity in the NGA‐West 2 ground‐motion databases and GMPEs. Our model employs existing models (Hanks and McGuire, 1981; Boore, 1983, 1986; Anderson and Hough, 1984) that incorporate a point‐source Brune model, including a constant stress drop and the high‐frequency attenuation parameter κ0, random vibration theory, and a finite‐fault assumption at the large magnitudes to describe the data from magnitudes 3 to 8. We partition this range into four different magnitude regions, each of which has different functional dependences on M. Use of the four magnitude partitions separately allows greater understanding of what happens in any one subrange, as well as the limiting conditions between the subranges. This model provides a remarkably good fit to the NGA data for magnitudes from 3<M<8 at close rupture distances (Rrup≤20 km). We explore the trade‐offs between Δσ and κ0 in ground‐motion models and data, which play an important role in understanding small‐magnitude data, for which the corner frequency is masked by the attenuation of high frequencies. That this simple, source‐based model matches the NGA‐West 2 GMPEs and data so well suggests that considerable simplicity underlies the parametrically complex NGA GMPEs.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130283","usgsCitation":"Baltay Sundstrom, A.S., and Hanks, T.C., 2014, Understanding the magnitude dependence of PGA and PGV in NGA-West 2 data: Bulletin of the Seismological Society of America, v. 104, no. 6, p. 2851-2865, https://doi.org/10.1785/0120130283.","productDescription":"15 p.","startPage":"2851","endPage":"2865","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052324","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":296788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-10-21","publicationStatus":"PW","scienceBaseUri":"54dd2ac6e4b08de9379b31fb","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":526749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":526750,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70135868,"text":"70135868 - 2014 - River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons","interactions":[],"lastModifiedDate":"2014-12-18T10:06:50","indexId":"70135868","displayToPublicDate":"2014-12-18T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons","docAbstract":"Chloride concentrations in northern U.S. included in this study have increased substantially over time with average concentrations approximately doubling from 1990 to 2011, outpacing the rate of urbanization in the northern U.S. Historical data were examined for 30 monitoring sites on 19 streams that had chloride concentration and flow records of 18 to 49 years. Chloride concentrations in most studied streams increased in all seasons (13 of 19 in all seasons; 16 of 19 during winter); maximum concentrations occurred during winter. Increasing concentrations during non-deicing periods suggest that chloride was stored in hydrologic reservoirs, such as the shallow groundwater system, during the winter and slowly released in baseflow throughout the year. Streamflow dependency was also observed with chloride concentrations increasing as streamflow decreased, a result of dilution during rainfall- and snowmelt-induced high-flow periods. The influence of chloride on aquatic life increased with time; 29% of sites studied exceeded the concentration for the USEPA chronic water quality criteria of 230 mg/L by an average of more than 100 individual days per year during 2006–2011. The rapid rate of chloride concentration increase in these streams is likely due to a combination of possible increased road salt application rates, increased baseline concentrations, and greater snowfall in the Midwestern U.S. during the latter portion of the study period.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.12.012","usgsCitation":"Corsi, S., De Cicco, L., Lutz, M., and Hirsch, R.M., 2014, River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons: Science of the Total Environment, v. 508, p. 488-497, https://doi.org/10.1016/j.scitotenv.2014.12.012.","productDescription":"10 p.","startPage":"488","endPage":"497","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061255","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":472572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2014.12.012","text":"Publisher Index Page"},{"id":296782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"projection":"Albers Equal Area Conic USGS CONUS Projection","datum":"North American Datum of 1983","country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.26660156249999,\n 42.58544425738491\n ],\n [\n -123.26660156249999,\n 45.9511496866914\n ],\n [\n -119.53125,\n 45.9511496866914\n ],\n [\n -119.53125,\n 42.58544425738491\n ],\n [\n -123.26660156249999,\n 42.58544425738491\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.853515625,\n 38.95940879245423\n ],\n [\n -104.853515625,\n 39.791654835253425\n ],\n [\n -104.17236328125,\n 39.791654835253425\n ],\n [\n -104.17236328125,\n 38.95940879245423\n ],\n [\n -104.853515625,\n 38.95940879245423\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.89892578125,\n 32.26855544621479\n ],\n [\n -98.89892578125,\n 34.125447565116126\n ],\n [\n -96.30615234375,\n 34.125447565116126\n ],\n [\n -96.30615234375,\n 32.26855544621479\n ],\n [\n -98.89892578125,\n 32.26855544621479\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.3408203125,\n 44.715513732021336\n ],\n [\n -89.3408203125,\n 45.82879925192134\n ],\n [\n -87.56103515625,\n 45.82879925192134\n ],\n [\n -87.56103515625,\n 44.715513732021336\n ],\n [\n -89.3408203125,\n 44.715513732021336\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.3408203125,\n 41.918628865183045\n ],\n [\n -89.3408203125,\n 44.134913443750726\n ],\n [\n -87.47314453125,\n 44.134913443750726\n ],\n [\n -87.47314453125,\n 41.918628865183045\n ],\n [\n -89.3408203125,\n 41.918628865183045\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.84765625,\n 42.293564192170095\n ],\n [\n -83.84765625,\n 43.08493742707592\n ],\n [\n -82.7490234375,\n 43.08493742707592\n ],\n [\n -82.7490234375,\n 42.293564192170095\n ],\n [\n -83.84765625,\n 42.293564192170095\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.650390625,\n 41.1290213474951\n ],\n [\n -81.650390625,\n 41.77131167976407\n ],\n [\n -80.595703125,\n 41.77131167976407\n ],\n [\n -80.595703125,\n 41.1290213474951\n ],\n [\n -81.650390625,\n 41.1290213474951\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.65087890624999,\n 37.84015683604134\n ],\n [\n -79.65087890624999,\n 40.94671366508002\n ],\n [\n -74.970703125,\n 40.94671366508002\n ],\n [\n -74.970703125,\n 37.84015683604134\n ],\n [\n -79.65087890624999,\n 37.84015683604134\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"508","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2aabe4b08de9379b3173","chorus":{"doi":"10.1016/j.scitotenv.2014.12.012","url":"http://dx.doi.org/10.1016/j.scitotenv.2014.12.012","publisher":"Elsevier BV","authors":"Corsi Steven R., De Cicco Laura A., Lutz Michelle A., Hirsch Robert M.","journalName":"Science of The Total Environment","publicationDate":"3/2015","auditedOn":"1/16/2015","publiclyAccessibleDate":"12/5/2014"},"contributors":{"authors":[{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":131018,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":536944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Cicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":4814,"corporation":false,"usgs":true,"family":"De Cicco","given":"Laura A.","email":"ldecicco@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":536945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":1839,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle A.","email":"malutz@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":536946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":536947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70111439,"text":"sir20145089 - 2014 - Historical and projected climate (1901–2050) and hydrologic response of karst aquifers, and species vulnerability in south-central Texas and western South Dakota","interactions":[],"lastModifiedDate":"2017-10-12T20:06:13","indexId":"sir20145089","displayToPublicDate":"2014-12-18T06:30:00","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":"2014-5089","title":"Historical and projected climate (1901–2050) and hydrologic response of karst aquifers, and species vulnerability in south-central Texas and western South Dakota","docAbstract":"Two karst aquifers, the Edwards aquifer in the Balcones Escarpment region of south-central Texas and the Madison aquifer in the Black Hills of western South Dakota, were evaluated for hydrologic response to projected climate change through 2050. Edwards aquifer sites include Barton Springs, the Bexar County Index Well, and Comal Springs. Madison aquifer sites include Spearfish Creek and Rhoads Fork Spring. Climate projections at sites were based on output from the Community Climate System Model of global climate, linked to the Weather Research and Forecasting (WRF) model of regional climate. The WRF model output was bias adjusted to match means for 1981–2010 from records at weather stations near Madison and Edwards aquifer sites, including Boerne, Texas, and Custer and Lead, South Dakota. Hydrologic response at spring and well sites was based on the Rainfall-Response Aquifer and Watershed Flow (RRAWFLOW) model. The WRF model climate projections for 2011–50 indicate a significant upward trend in annual air temperature for all three weather stations and a significant downward trend in annual precipitation for the Boerne weather station. Annual springflow simulated by the RRAWFLOW model had a significant downward trend for Edwards aquifer sites and no trend for Madison aquifer sites.
\nFlora and fauna that rely on springflow from Edwards and Madison aquifer sites were assessed for vulnerability to projected climate change on the basis of the Climate Change Vulnerability Index (CCVI). The CCVI is determined by the exposure of a species to climate, the sensitivity of the species, and the ability of the species to cope with climate change. Sixteen species associated with springs and groundwater were assessed in the Balcones Escarpment region. The Barton Springs salamander (Eurycea sosorum) was scored as highly vulnerable with moderate confidence. Nine species—three salamanders, a fountain darter (Etheostoma fonticola), three insects, and two amphipods—were scored as moderately vulnerable. The remaining six species—four vascular plants, the Barton cavesnail (Stygopyrgus bartonensis), and a cave shrimp—were scored as not vulnerable/presumed stable (not vulnerable and evidence does not support change in abundance or range of the species). Vulnerability of eight species associated with streams that receive springflow from the Madison aquifer in the Black Hills was assessed. Of these, the American dipper (Cinclus mexicanus) and the lesser yellow lady’s slipper (Cypripedium parviflorum) were scored as moderately vulernable with high confidence. The dwarf scouringrush (Equisetum scirpoides) and autumn willow (Salix serissima) were also scored as moderately vulnerable with moderate to low confidence, respectively. Other species were assessed as not vulnerable/presumed stable or not vulnerable/increase likely (not vulnerable and evidence supporting an increase in abundance or range of the species). Lower vulnerability scores for the Black Hills species in comparison to the Balcones Escarpment species reflect lower endemicity, higher projected springflow than in the historical period, and high thermal tolerance of many of the species for the Black Hills. Importantly, climate change vulnerability scores differed substantially for Edwards aquifer species when RRAWFLOW model projections were included, resulting in increased vulnerability scores for 12 of the 16 species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145089","collaboration":"Prepared in cooperation with the Department of Interior South-Central Climate Science Center","usgsCitation":"Stamm, J.F., Poteet, M.F., Symstad, A.J., Musgrove, MaryLynn, Long, A.J., Mahler, B.J., and Norton, P.A., 2015, Historical and projected climate (1901–2050) and hydrologic response of karst aquifers, and species vulnerability in south-central Texas and western South Dakota: U.S. Geological Survey Scientific Investigations Report 2014–5089, 59 p., plus supplements, https://dx.doi.org/10.3133/sir20145089.","productDescription":"Report: viii, 61 p.; 3 Supplements","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046230","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":312182,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5089/downloads/","text":"Supplement 1-3","linkFileType":{"id":5,"text":"html"},"description":"Supplement 1-3"},{"id":312140,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2014/5089/coverthb.jpg"},{"id":312141,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5089/sir20145089.pdf","text":"Report","size":"4.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2014-5089"}],"country":"United States","state":"South Dakota, Texas","otherGeospatial":"Barton Springs, Bexar County Index Well, Comal Springs, Rhoads Fork Spring, Spearfish Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5,\n 43\n ],\n [\n -104.5,\n 44.5\n ],\n [\n -103,\n 44.5\n ],\n [\n -103,\n 43\n ],\n [\n -104.5,\n 43\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 29\n ],\n [\n -100,\n 31.5\n ],\n [\n -97,\n 31.5\n ],\n [\n -97,\n 29\n ],\n [\n -100,\n 29\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, South Dakota Water Science Center
1608 Mountain View Road
Rapid City, SD 57702
http://sd.water.usgs.gov/
Mountaintop removal/valley fill (MTR/VF) mining in the central Appalachians is a major driver of landscape change within terrestrial ecosystems.
\nWe quantified avian community and individual taxa thresholds in response to changing landscapes from MTR/VF using a Threshold Indicator Taxa Analysis approach.
\nWe conducted 50-m fixed radius avian surveys (n = 707) within forest adjacent to mine lands in 2012–2013 and obtained data for additional surveys (n = 905) sampled using comparable methods during 2008–2013. We quantified positive and negative community, habitat guild, and species thresholds in abundance and occurrence for each of five landscape metrics within a 1-km radius of each survey point.
\nReclaimed mine-dominated landscapes (less forest and more grassland/shrubland cover) elicited more negative (57 %) than positive (39 %) species responses. Negative thresholds for each landscape metric generally occurred at lower values than positive thresholds, thus negatively responding species were detrimentally affected before positively responding species benefitted. Forest interior birds generally responded negatively to landscape metric thresholds, interior edge species responses were mixed, and early successional birds responded positively. The forest interior guild declined most at 4 % forest loss, while the shrubland guild increased greatest after 52 % loss. Based on random forest importance ranks, total amount of landscape grassland/shrubland had the most influence, although this varied by guild.
\nBecause of little overlap in habitat requirements, managing landscapes simultaneously to maximally benefit both guilds may not be possible. Our avian thresholds identify single community management targets accounting for scarce species. Guild or individual species thresholds allow for species-specific management.
\nIn July 2011, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, completed a geophysical survey using electrical resistivity along an approximately 6-mile reach of the lower American River in Sacramento, California, to map near-surface lithological variations. This survey is a part of a manifold and comprehensive study of river-flow dynamics and geologic boundary-property knowledge necessary to estimate scour potential and levee erosion risk. Data were acquired on the left (south or west) bank between river mile 5 and 10.7 as well as a short section on the right bank from river mile 5.4 to 6. Thirteen direct-current resistivity profiles and approximately 8.3 miles of capacitively coupled resisistivity data were acquired along accessible areas of the floodplain between the levee and river bank. Capacitively coupled resistivity was used as a reconnaissance tool, because it allowed for greater spatial coverage of data but with lower resolution and depth of investigation than the DC resistivity method. The study area contains Pleistocene-age alluvial deposits, dominated by gravels, sands, silts, and clays, that vary in both lateral extent and depth. Several generations of lithologic logs were used to help interpret resistivity variations observed in the resistivity models.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141242","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Burton, B.L., Powers, M.H., and Ball, L.B., 2014, Characterization of subsurface stratigraphy along the lower American River floodplain using electrical resistivity, Sacramento, California, 2011: U.S. Geological Survey Open-File Report 2014-1242, Report: iv, 62 p.; Direct-current resistivity data; Capacitively coupled resistivity data, https://doi.org/10.3133/ofr20141242.","productDescription":"Report: iv, 62 p.; Direct-current resistivity data; Capacitively coupled resistivity data","numberOfPages":"66","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-055799","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":296766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141242.jpg"},{"id":296763,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1242/pdf/ofr2014-1242.pdf","text":"Report","size":"19.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":296764,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1242/App3/AmRiv_DCres_stg.zip","text":"Direct-current resistivity data","size":"592 kB","description":"Digital Data"},{"id":296762,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1242/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":296765,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1242/App3/AmRiv_CCres_BIN.zip","text":"Capacitively coupled resistivity data","size":"284 kB","description":"Digital Data"}],"projection":"California State Plane projection, zone 2","datum":"North American Datum of 1983","country":"United States","state":"California","city":"Sacramento","otherGeospatial":"American River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a92ee4b00eda8915acf3","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":138925,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany","email":"blburton@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":758621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Michael H. 0000-0002-4480-7856 mhpowers@usgs.gov","orcid":"https://orcid.org/0000-0002-4480-7856","contributorId":851,"corporation":false,"usgs":true,"family":"Powers","given":"Michael","email":"mhpowers@usgs.gov","middleInitial":"H.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":536902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":536903,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134072,"text":"ofr20141119B - 2014 - Geologic map of the Weka Dur gold deposit, Badakhshan Province, Afghanistan, modified from the 1967 original map compilation of M.P. Guguev and others","interactions":[],"lastModifiedDate":"2014-12-18T08:58:16","indexId":"ofr20141119B","displayToPublicDate":"2014-12-17T11:00:00","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":"2014-1119","chapter":"B","title":"Geologic map of the Weka Dur gold deposit, Badakhshan Province, Afghanistan, modified from the 1967 original map compilation of M.P. Guguev and others","docAbstract":"This geologic map of the Weka Dur gold deposit located in Badakhshan Province, Afghanistan, is a redrafted and modified version of the Geological map of the Weka Dur area, scale 1:10,000 and Geological map of the Weka Dur deposit, scale 1:2,000 from Guguev and others (1967) (Soviet report no. R1584). That unpublished Soviet report contains the original maps and cross sections, which were prepared in cooperation with the Ministry of Mines and Industries of the Republic of Afghanistan in 1967 under contract no. 1378 (Technoexport, USSR). This USGS publication not only reproduces the geology of the original Soviet maps and cross sections, but also illustrates a mapped adit with reported gold concentrations from sampling within the adit, and shows the location of Soviet trenches along the Weka Dur gold deposit.
\n\n
The Weka Dur gold deposit lies in a cluster of other gold deposits in Badakhshan Province (Ragh district), such as the Kadar, Nesheb Dur, and Rishaw gold occurrences. These gold occurrences lie within a zone of late Hercynian folding and are most likely related to fluids that originated from orogenic processes. The Weka Dur deposit is the largest recorded gold occurrence in Afghanistan and is hosted in Proterozoic mica schist and amphibolite that is intruded by diabase dikes and other intrusive rocks. The tabular orebody is 350 meters (m) long and 2 m wide and can be traced downdip for 110 m. Mineralization consists of ochreous, brecciated schists containing high gold concentrations along gently and steeply dipping fissures. The brecciated rocks grade to 46.7 grams per ton (g/t) silver and contain arsenopyrite, galena, chalcopyrite, and scheelite. Trenches and adits were constructed, mapped, and sampled during the 1960s. Calculated resources are 958.3 kilograms of gold, averaging 4.1 g/t gold.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141119B","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense","usgsCitation":"Peters, S., Stettner, W.R., and Masonic, L., 2014, Geologic map of the Weka Dur gold deposit, Badakhshan Province, Afghanistan, modified from the 1967 original map compilation of M.P. Guguev and others: U.S. Geological Survey Open-File Report 2014-1119, Map: 48 inches x 39 inches, https://doi.org/10.3133/ofr20141119B.","productDescription":"Map: 48 inches x 39 inches","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042822","costCenters":[],"links":[{"id":296751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141119b.jpg"},{"id":296749,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1119/B/pdf/ofr2014-1119b.pdf","text":"Report","size":"85.8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296750,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1119/A/","text":"OFR 2014-1119-A"},{"id":296748,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1119/B/"}],"country":"Afghanistan","otherGeospatial":"Badakhshan Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 69.9609375,\n 38.41055825094609\n ],\n [\n 75.146484375,\n 38.20365531807149\n ],\n [\n 74.35546875,\n 35.60371874069731\n ],\n [\n 69.697265625,\n 35.817813158696616\n ],\n [\n 69.9609375,\n 38.41055825094609\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a933e4b00eda8915acf9","contributors":{"authors":[{"text":"Peters, Stephen G. speters@usgs.gov","contributorId":2793,"corporation":false,"usgs":true,"family":"Peters","given":"Stephen G.","email":"speters@usgs.gov","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":525675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stettner, Will R. wstettne@usgs.gov","contributorId":4021,"corporation":false,"usgs":true,"family":"Stettner","given":"Will","email":"wstettne@usgs.gov","middleInitial":"R.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":525676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masonic, Linda M. lmasonic@usgs.gov","contributorId":1418,"corporation":false,"usgs":true,"family":"Masonic","given":"Linda M.","email":"lmasonic@usgs.gov","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":false,"id":525674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134071,"text":"ofr20141119A - 2014 - Geologic map of metallic and nonmetallic mineral deposits, Badakhshan Province, Afghanistan, modified from the 1967 original map compilation of G.G. Semenov and others","interactions":[],"lastModifiedDate":"2014-12-18T09:01:27","indexId":"ofr20141119A","displayToPublicDate":"2014-12-17T11:00:00","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":"2014-1119","chapter":"A","title":"Geologic map of metallic and nonmetallic mineral deposits, Badakhshan Province, Afghanistan, modified from the 1967 original map compilation of G.G. Semenov and others","docAbstract":"This geologic map of central Badakhshan Province, Afghanistan, is a combined, redrafted, and modified version of the Geological map of central Badakhshan, scale 1:200,000 (sheet 217), and Map of minerals of central Badakhshan, scale 1:200,000 (also sheet 217) from Semenov and others (1967) (Soviet report no. R0815). That unpublished Soviet report contains the original maps and cross sections, which were prepared in cooperation with the Ministry of Mines and Industries of the Republic of Afghanistan in 1967 under contract no. 1378 (Technoexport, USSR). This USGS publication also includes the gold metallogeny summarized in Abdullah and others (1977) and Peters and others (2007, 2011), and additional compilations from Guguev and others (1967).
\n\n
Badakhshan Province consists of volcanic, sedimentary, and metamorphic rocks of various ages from late Proterozoic to Cenozoic. The rocks are intensively dislocated and cut by intrusions of magmatic rocks. Primary gold occurrences are distinguished in shear zones with hydrothermal alterations or in contact-metasomatic rocks near magmatic intrusions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141119A","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense","usgsCitation":"Peters, S., Stettner, W.R., Mathieux, D.P., Masonic, L., and Moran, T.W., 2014, Geologic map of metallic and nonmetallic mineral deposits, Badakhshan Province, Afghanistan, modified from the 1967 original map compilation of G.G. Semenov and others: U.S. Geological Survey Open-File Report 2014-1119, Report: 39.50 x 55.00 inches, https://doi.org/10.3133/ofr20141119A.","productDescription":"Report: 39.50 x 55.00 inches","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-034815","costCenters":[],"links":[{"id":296747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141119A.jpg"},{"id":296746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1119/A/pdf/ofr2014-1119a.pdf","size":"96.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296745,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1119/A/"}],"scale":"100000","projection":"Universal Transverse Mercator projection","datum":"World Geodetic System 1984 Datum","country":"Afghanistan","state":"Badakhshan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 69.2578125,\n 36.474306755095206\n ],\n [\n 69.2578125,\n 37.96152331396616\n ],\n [\n 71.2353515625,\n 37.96152331396616\n ],\n [\n 71.2353515625,\n 36.474306755095206\n ],\n [\n 69.2578125,\n 36.474306755095206\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a933e4b00eda8915acfb","contributors":{"authors":[{"text":"Peters, Stephen G. speters@usgs.gov","contributorId":2793,"corporation":false,"usgs":true,"family":"Peters","given":"Stephen G.","email":"speters@usgs.gov","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":525671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stettner, Will R. wstettne@usgs.gov","contributorId":4021,"corporation":false,"usgs":true,"family":"Stettner","given":"Will","email":"wstettne@usgs.gov","middleInitial":"R.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":525672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathieux, Donald P. dmathieu@usgs.gov","contributorId":3295,"corporation":false,"usgs":true,"family":"Mathieux","given":"Donald","email":"dmathieu@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":525670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masonic, Linda M. lmasonic@usgs.gov","contributorId":1418,"corporation":false,"usgs":true,"family":"Masonic","given":"Linda M.","email":"lmasonic@usgs.gov","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":false,"id":536931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Thomas W.","contributorId":127557,"corporation":false,"usgs":false,"family":"Moran","given":"Thomas","email":"","middleInitial":"W.","affiliations":[{"id":7050,"text":"Contractor, ETI","active":true,"usgs":false}],"preferred":false,"id":525673,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134073,"text":"ofr20141199 - 2014 - Geologic map of the Ahankashan-Rakhna basin, Badghis, Ghor, and Herat Provinces, Afghanistan, modified from the 1974 original map compilation of Y.I. Shcherbina and others","interactions":[],"lastModifiedDate":"2014-12-17T09:41:37","indexId":"ofr20141199","displayToPublicDate":"2014-12-17T10:30:00","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":"2014-1199","title":"Geologic map of the Ahankashan-Rakhna basin, Badghis, Ghor, and Herat Provinces, Afghanistan, modified from the 1974 original map compilation of Y.I. Shcherbina and others","docAbstract":"This geologic map of the Ahankashan-Rakhna basin, Afghanistan, is a redrafted and modified version of the Geological map of the area of Ahankashan-Rakhna basin, scale 1:50,000 and Geological map of the Ahankashan area with data on mineral resources, scale 1:12,000 from Shcherbina and others (1974) (Soviet report no. 0822). That unpublished Soviet report contains the original maps and cross sections, which were prepared in cooperation with the Ministry of Mines and Industries of the Republic of Afghanistan in Kabul during 1974 under contract no. 50728 (Technoexport, USSR). The redrafted maps and cross sections in this USGS publication illustrate the geology of the Ahankashan and Rakhna basins, located within Badghis, Ghor, and Herat Provinces.
\n\n
The Ahankashan and Rakhna prospect area is one of several gold and copper deposits within west-central Afghanistan. Here, various felsic to intermediate igneous porphyries intrude Lower Triassic to lower Paleogene sedimentary rocks, producing mineral and ore-bearing zones related to hydrothermal alteration, skarns, silicification, and crushing (brecciation). Mineralized skarns contain assemblages such as magnetite, magnetite-hematite, epidote-hematite, and epidote-garnet, as well as disseminations of chalcopyrite, covellite, chalcocite, cuprite, malachite, and azurite. Gold mineralization is mainly associated with zones of crushing along faults, and with small silicified igneous veins within granite and quartz porphyry.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141199","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense","usgsCitation":"Tucker, R.D., Stettner, W.R., Masonic, L., and Bogdanow, A.K., 2014, Geologic map of the Ahankashan-Rakhna basin, Badghis, Ghor, and Herat Provinces, Afghanistan, modified from the 1974 original map compilation of Y.I. Shcherbina and others: U.S. Geological Survey Open-File Report 2014-1199, Report: 51.00 x 41.00 inches, https://doi.org/10.3133/ofr20141199.","productDescription":"Report: 51.00 x 41.00 inches","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056911","costCenters":[{"id":497,"text":"Office of International Programs","active":false,"usgs":true}],"links":[{"id":296743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141199.jpg"},{"id":296739,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1199/"},{"id":296740,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1199/pdf/ofr2014-1199.pdf","size":"76.5 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"500000","projection":"Universal Transverse Mercator projection","datum":"World Geodetic System 1984 Datum","country":"Afghanistan","state":"Badghis, Ghor, Herat","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 63.369140625,\n 33.797408767572485\n ],\n [\n 63.369140625,\n 35.371135022800985\n ],\n [\n 65.58837890625,\n 35.371135022800985\n ],\n [\n 65.58837890625,\n 33.797408767572485\n ],\n [\n 63.369140625,\n 33.797408767572485\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a936e4b00eda8915acfd","contributors":{"authors":[{"text":"Tucker, Robert D. 0000-0001-8463-4358 rtucker@usgs.gov","orcid":"https://orcid.org/0000-0001-8463-4358","contributorId":2007,"corporation":false,"usgs":true,"family":"Tucker","given":"Robert","email":"rtucker@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":525677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stettner, Will R. wstettne@usgs.gov","contributorId":4021,"corporation":false,"usgs":true,"family":"Stettner","given":"Will","email":"wstettne@usgs.gov","middleInitial":"R.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":525678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masonic, Linda M. lmasonic@usgs.gov","contributorId":1418,"corporation":false,"usgs":true,"family":"Masonic","given":"Linda M.","email":"lmasonic@usgs.gov","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":false,"id":525679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bogdanow, Anya K. abogdanow@usgs.gov","contributorId":5406,"corporation":false,"usgs":true,"family":"Bogdanow","given":"Anya","email":"abogdanow@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":525680,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70135665,"text":"70135665 - 2014 - Waterfowl populations of conservation concern: learning from diverse challenges, models, and conservation strategies","interactions":[],"lastModifiedDate":"2014-12-17T09:36:24","indexId":"70135665","displayToPublicDate":"2014-12-17T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl populations of conservation concern: learning from diverse challenges, models, and conservation strategies","docAbstract":"There are 30 threatened or endangered species of waterfowl worldwide, and several sub-populations are also threatened. Some of these species occur in North America, and others there are also of conservation concern due to declining population trends and their importance to hunters. Here we review conservation initiatives being undertaken for several of these latter species, along with conservation measures in place in Europe, to seek common themes and approaches that could be useful in developing broad conservation guidelines. While focal species may vary in their life histories, population threats and geopolitical context, most conservation efforts have used a systematic approach to understand factors limiting populations and o identify possible management or policy actions. This approach generally includes a priori identification of plausible hypotheses about population declines or status, incorporation of hypotheses into conceptual or quantitative planning models, and the use of some form of structured decision making and adaptive management to develop and implement conservation actions in the face of many uncertainties. A climate of collaboration among jurisdictions sharing these birds is important to the success of a conservation or management programme. The structured conservation approach exemplified herein provides an opportunity to involve stakeholders at all planning stages, allows for all views to be examined and incorporated into model structures, and yields a format for improved communication, cooperation and learning, which may ultimately be one of the greatest benefits of this strategy.
","language":"English","publisher":"Wildfowl & Wetlands Trust","usgsCitation":"Austin, J.E., Slattery, S., and Clark, R.G., 2014, Waterfowl populations of conservation concern: learning from diverse challenges, models, and conservation strategies: Wildfowl, v. 2014, no. Special Issue 4, p. 470-497.","productDescription":"28 p.","startPage":"470","endPage":"497","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053628","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":296742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296688,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2617"}],"volume":"2014","issue":"Special Issue 4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a937e4b00eda8915ad01","contributors":{"authors":[{"text":"Austin, Jane E. jaustin@usgs.gov","contributorId":2839,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":536714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slattery, Stuart","contributorId":130965,"corporation":false,"usgs":false,"family":"Slattery","given":"Stuart","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":536715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Robert G.","contributorId":33781,"corporation":false,"usgs":false,"family":"Clark","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":536716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135738,"text":"70135738 - 2014 - Effects of capturing and collaring on polar bears: findings from long-term research on the southern Beaufort Sea population","interactions":[],"lastModifiedDate":"2018-08-19T21:52:56","indexId":"70135738","displayToPublicDate":"2014-12-17T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of capturing and collaring on polar bears: findings from long-term research on the southern Beaufort Sea population","docAbstract":"Context: The potential for research methods to affect wildlife is an increasing concern among both scientists and the public. This topic has a particular urgency for polar bears because additional research is needed to monitor and understand population responses to rapid loss of sea ice habitat.
Aims: This study used data collected from polar bears sampled in the Alaska portion of the southern Beaufort Sea to investigate the potential for capture to adversely affect behaviour and vital rates. We evaluated the extent to which capture, collaring and handling may influence activity and movement days to weeks post-capture, and body mass, body condition, reproduction and survival over 6 months or more.
Methods: We compared post-capture activity and movement rates, and relationships between prior capture history and body mass, body condition and reproductive success. We also summarised data on capture-related mortality.
Key results: Individual-based estimates of activity and movement rates reached near-normal levels within 2–3 days and fully normal levels within 5 days post-capture. Models of activity and movement rates among all bears had poor fit, but suggested potential for prolonged, lower-level rate reductions. Repeated captures was not related to negative effects on body condition, reproduction or cub growth or survival. Capture-related mortality was substantially reduced after 1986, when immobilisation drugs were changed, with only 3 mortalities in 2517 captures from 1987–2013.
Conclusions: Polar bears in the southern Beaufort Sea exhibited the greatest reductions in activity and movement rates 3.5 days post-capture. These shorter-term, post-capture effects do not appear to have translated into any long-term effects on body condition, reproduction, or cub survival. Additionally, collaring had no effect on polar bear recovery rates, body condition, reproduction or cub survival.
Implications: This study provides empirical evidence that current capture-based research methods do not have long-term implications, and are not contributing to observed changes in body condition, reproduction or survival in the southern Beaufort Sea. Continued refinement of capture protocols, such as the use of low-impact dart rifles and reversible drug combinations, might improve polar bear response to capture and abate short-term reductions in activity and movement post-capture.
","language":"English","publisher":"Csiro Publishing","doi":"10.1071/WR13225","usgsCitation":"Rode, K.D., Pagano, A.M., Bromaghin, J.F., Atwood, T.C., Durner, G.M., Simac, K.S., and Amstrup, S.C., 2014, Effects of capturing and collaring on polar bears: findings from long-term research on the southern Beaufort Sea population: Wildlife Research, v. 41, no. 4, p. 311-322, https://doi.org/10.1071/WR13225.","productDescription":"12 p.","startPage":"311","endPage":"322","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053304","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.3359375,\n 74.4964131169431\n ],\n [\n -123.662109375,\n 74.56673621013677\n ],\n [\n -127.529296875,\n 69.83962194067463\n ],\n [\n -136.7578125,\n 69.00567519658819\n ],\n [\n -157.5,\n 71.27259471233448\n ],\n [\n -154.3359375,\n 74.4964131169431\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a931e4b00eda8915acf7","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":536864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":536865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":536866,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70135739,"text":"70135739 - 2014 - Identifying polar bear resource selection patterns to inform offshore development in a dynamic and changing Arctic","interactions":[],"lastModifiedDate":"2014-12-18T09:06:36","indexId":"70135739","displayToPublicDate":"2014-12-17T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Identifying polar bear resource selection patterns to inform offshore development in a dynamic and changing Arctic","docAbstract":"Although sea ice loss is the primary threat to polar bears (Ursus maritimus), little can be done to mitigate its effects without global efforts to reduce greenhouse gas emissions. Other factors, however, could exacerbate the impacts of sea ice loss on polar bears, such as exposure to increased industrial activity. The Arctic Ocean has enormous oil and gas potential, and its development is expected to increase in the coming decades. Estimates of polar bear resource selection will inform managers how bears use areas slated for oil development and to help guide conservation planning. We estimated temporally-varying resource selection patterns for non-denning adult female polar bears in the Chukchi Sea population (2008–2012) at two scales (i.e., home range and weekly steps) to identify factors predictive of polar bear use throughout the year, before any offshore development. From the best models at each scale, we estimated scale-integrated resource selection functions to predict polar bear space use across the population's range and determined when bears were most likely to use the region where offshore oil and gas development in the United States is slated to occur. Polar bears exhibited significant intra-annual variation in selection patterns at both scales but the strength and annual patterns of selection differed between scales for most variables. Bears were most likely to use the offshore oil and gas planning area during ice retreat and growth with the highest predicted use occurring in the southern portion of the planning area. The average proportion of predicted high-value habitat in the planning area was >15% of the total high-value habitat for the population during sea ice retreat and growth and reached a high of 50% during November 2010. Our results provide a baseline on which to judge future changes to non-denning adult female polar bear resource selection in the Chukchi Sea and help guide offshore development in the region. Lastly, our study provides a framework for assessing potential impacts of offshore oil and gas development to other polar bear populations around the Arctic.
Founded in 1912 at the edge of the caldera of Kīlauea Volcano, HVO was the vision of Thomas A. Jaggar, Jr., a geologist from the Massachusetts Institute of Technology, whose studies of natural disasters around the world had convinced him that systematic, continuous observations of seismic and volcanic activity were needed to better understand—and potentially predict—earthquakes and volcanic eruptions. Jaggar summarized the aim of HVO by stating that “the work should be humanitarian” and have the goals of developing “prediction and methods of protecting life and property on the basis of sound scientific achievement.” These goals align well with those of the USGS, whose mission is to serve the Nation by providing reliable scientific information to describe and understand the Earth; minimize loss of life and property from natural disasters; manage natural resources; and enhance and protect our quality of life.
“Characteristics of Hawaiian Volcanoes” establishes a benchmark for the current understanding of volcanism in Hawai‘i, and the articles herein build upon the elegant and pioneering work of Jaggar and many other USGS and academic scientists. Each chapter synthesizes the lessons learned about a specific aspect of volcanism in Hawai‘i, based largely on continuous observation of eruptive activity (like that occurring now at Kīlauea Volcano) and on systematic research into volcanic and earthquake processes during HVO’s first 100 years. Researchers and students interested in basaltic volcanism should find the volume to be a valuable starting point for future investigations of Hawaiian volcanoes and an important reference for decades to come, as well as an informative and entertaining read.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1801","usgsCitation":"2014, Characteristics of Hawaiian volcanoes: U.S. Geological Survey Professional Paper 1801, xi, 442 p., https://doi.org/10.3133/pp1801.","productDescription":"xi, 442 p.","numberOfPages":"442","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-048942","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":296744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1801.gif"},{"id":296737,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1801/downloads/pp1801_full_report.pdf","size":"114 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Full Report"},{"id":296667,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1801/"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.1474609375,\n 18.03097474989003\n ],\n [\n -161.1474609375,\n 23.61432859499169\n ],\n [\n -151.23779296875,\n 23.61432859499169\n ],\n [\n -151.23779296875,\n 18.03097474989003\n ],\n [\n -161.1474609375,\n 18.03097474989003\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5492a928e4b00eda8915acf1","contributors":{"editors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":536858,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Takahashi, T. Jane jtakahashi@usgs.gov","contributorId":4298,"corporation":false,"usgs":true,"family":"Takahashi","given":"T. Jane","email":"jtakahashi@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":536859,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Landowski, Claire M. clandowski@usgs.gov","contributorId":3180,"corporation":false,"usgs":true,"family":"Landowski","given":"Claire","email":"clandowski@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":536860,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70160769,"text":"70160769 - 2014 - Efficacy of iodine for disinfection of Lake Sturgeon eggs from the St. Lawrence River, New York","interactions":[],"lastModifiedDate":"2015-12-30T14:36:17","indexId":"70160769","displayToPublicDate":"2014-12-16T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of iodine for disinfection of Lake Sturgeon eggs from the St. Lawrence River, New York","docAbstract":"Optimal fish husbandry to reduce the risk of disease is particularly important when using wild fish as the source for gametes. The propagation and reestablishment of Lake Sturgeon Acipenser fulvescens in New York waters to become a viable self-sustaining population is considered a high priority by managers. While standard hatchery egg disinfection practices have been used to prevent the transmission of diseases, data on the bacterial loads present on egg surfaces following iodine disinfection is lacking. Our study investigated the bacteria present on the outer surface of Lake Sturgeon eggs and the effectiveness of an iodine disinfection treatment in eliminating bacteria that could pose a threat to egg survival and cause hatchery disease outbreaks. During the springs of 2011–2013, 12 to 41 different species of bacteria were recovered from the outer egg surfaces prior to an iodine treatment; Aeromonas, Pseudomonas, Shewanella, and Chryseobacterium were the most common genera identified. Cohort eggs treated using the standard protocol of a single treatment of 50 mg/L iodine for 30 min resulted in an average of 57.8% reduction in bacterial CFU/g. While this is a significant reduction, bacteria were not completely eliminated and hatchery managers should be aware that pathogens could remain on Lake Sturgeon eggs following the standard iodine disinfection treatment.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/15222055.2014.963768","usgsCitation":"Chalupnicki, M.A., Dittman, D.E., Starliper, C.E., and Iwanowicz, D.D., 2014, Efficacy of iodine for disinfection of Lake Sturgeon eggs from the St. Lawrence River, New York: North American Journal of Aquaculture, v. 77, no. 1, p. 82-89, https://doi.org/10.1080/15222055.2014.963768.","productDescription":"8 p.","startPage":"82","endPage":"89","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057777","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"St. Lawrence River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.66583251953125,\n 44.990055522906864\n ],\n [\n -74.68505859374999,\n 45.02403855956774\n ],\n [\n -74.78118896484375,\n 45.02209721486682\n ],\n [\n -74.94873046875,\n 45.00753503123719\n ],\n [\n -75.04898071289062,\n 44.95799590837475\n ],\n [\n -75.14236450195312,\n 44.91522187614324\n ],\n [\n -75.25634765625,\n 44.86949623772188\n ],\n [\n -75.37582397460938,\n 44.80522439622254\n ],\n [\n -75.49530029296875,\n 44.735027899515465\n ],\n [\n -75.706787109375,\n 44.58655513209543\n ],\n [\n -75.89218139648438,\n 44.44652641501047\n ],\n [\n -75.94985961914062,\n 44.37000528941461\n ],\n [\n -76.09954833984375,\n 44.34938634389529\n ],\n [\n -76.18881225585938,\n 44.3258129498022\n ],\n [\n -76.53350830078125,\n 44.213709909702054\n ],\n [\n -76.365966796875,\n 44.10040688311735\n ],\n [\n -76.2066650390625,\n 44.187127873177666\n ],\n [\n -75.992431640625,\n 44.26683800273895\n ],\n [\n -75.73974609375,\n 44.44652641501047\n ],\n [\n -75.7562255859375,\n 44.47789073724073\n ],\n [\n -75.69854736328124,\n 44.53959000445632\n ],\n [\n -75.48019409179686,\n 44.69404054463804\n ],\n [\n -75.27969360351562,\n 44.817889670988784\n ],\n [\n -75.10665893554688,\n 44.88603949514269\n ],\n [\n -74.92813110351562,\n 44.94633342311665\n ],\n [\n -74.80728149414062,\n 44.9715991458543\n ],\n [\n -74.66583251953125,\n 44.990055522906864\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-16","publicationStatus":"PW","scienceBaseUri":"56850e8ae4b0a04ef49338d9","contributors":{"authors":[{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starliper, Clifford E. cstarliper@usgs.gov","contributorId":1948,"corporation":false,"usgs":true,"family":"Starliper","given":"Clifford","email":"cstarliper@usgs.gov","middleInitial":"E.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":583828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":583829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}