We used a double-sampling technique (air plus ground survey) in 2006, with partial double coverage, to estimate the present size of the osprey (Pandion haliaetus) nesting population in northwestern Mexico. With the exception of Natividad, Cedros, and San Benito Islands along the Pacific Coast of Baja California, all three excluded from our coverage in 2006 due to fog, this survey was a repeat of previous surveys conducted by us with the same protocol in 1977 and 1992/1993 (Baja California surveyed in 1992, Sonora and Sinaloa 1993), allowing for estimates of regional population trends. Population estimates at the 'time of aerial survey' include those nesting, but missed from the air. The population estimate for our coverage area in 2006 was 1,343 nesting pairs, or an 81% increase since 1977, but only a 3% increase since 1992/1993. The population on the Gulf side of Baja California generally remained stable during the three surveys (255, 236 and 252 pairs, respectively). The overall Midriff Islands population remained similar from 1992/1993 (308 pairs) to 2006 (289 pairs), but with notable population changes on the largest two islands (Isla Angel de la Guarda: 45 to 105 pairs [+ 60 pairs]; Isla Tiburon: 164 to 109 pairs [- 55 pairs, or -34%]). The estimated osprey population on the Sonora mainland decreased in a manner similar to adjacent Isla Tiburon, i.e., by 26%, from 214 pairs in 1993 to 158 pairs in 2006. In contrast, the population in Sinaloa, which had increased by 150% between 1977 and 1993, grew again by 58% between 1993 and 2006, from 180 to 285 pairs. Our survey confirmed previously described patterns of rapid population changes at a local level, coupled with apparent shifts in spatial distribution. The large ground nesting population that until recently nested on two islands in San Ignacio Lagoon was no longer present on the islands in 2006, but an equivalent number of pairs were found to the north and south of the lagoon, nesting in small towns and along adjoining power-lines, with no overall change in population size for that general area (198 pairs in 1992; 199 in 2006). Use of artificial nesting structures was 4.3% in 1977 and 6.2% in 1992/1993, but jumped to 26.4% in 2006. Use of power poles poses a risk of electrocution to ospreys as well as causes power outages and fires; modification of power poles to safely accommodate osprey nests has been successful in many countries.
","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071298","usgsCitation":"Henny, C.J., Anderson, D.W., Vera, A.C., and Carton, J.E., 2007, Population size and trends for nesting ospreys in northwestern Mexico: Region-wide surveys, 1977, 1992/1993 and 2006: U.S. Geological Survey Open-File Report 2007-1298, iv, 15 p., https://doi.org/10.3133/ofr20071298.","productDescription":"iv, 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":192200,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10322,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1298/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118,23 ], [ -118,33 ], [ -106,33 ], [ -106,23 ], [ -118,23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db684303","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":292765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Daniel W.","contributorId":74345,"corporation":false,"usgs":false,"family":"Anderson","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":292767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vera, Aradit Castellanos","contributorId":98824,"corporation":false,"usgs":true,"family":"Vera","given":"Aradit","email":"","middleInitial":"Castellanos","affiliations":[],"preferred":false,"id":292768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carton, Jean-Luc E.","contributorId":66361,"corporation":false,"usgs":true,"family":"Carton","given":"Jean-Luc","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":292766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":80485,"text":"ds259 - 2007 - Archive of digital CHIRP seismic reflection data collected during USGS cruise 06SCC01 offshore of Isles Dernieres, Louisiana, June 2006","interactions":[],"lastModifiedDate":"2014-08-27T10:43:36","indexId":"ds259","displayToPublicDate":"2007-10-04T00:00:00","publicationYear":"2007","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":"259","title":"Archive of digital CHIRP seismic reflection data collected during USGS cruise 06SCC01 offshore of Isles Dernieres, Louisiana, June 2006","docAbstract":"In June of 2006, the U.S. Geological Survey conducted a geophysical survey offshore of Isles Dernieres, Louisiana. This report serves as an archive of unprocessed digital CHIRP seismic reflection data, trackline maps, navigation files, GIS information, Field Activity Collection System (FACS) logs, observer's logbook, and formal FGDC metadata. Gained digital images of the seismic profiles are also provided.
\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic UNIX (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds259","usgsCitation":"Harrison, A.S., Dadisman, S.V., Ferina, N.F., Wiese, D.S., and Flocks, J.G., 2007, Archive of digital CHIRP seismic reflection data collected during USGS cruise 06SCC01 offshore of Isles Dernieres, Louisiana, June 2006: U.S. Geological Survey Data Series 259, HTML Document, https://doi.org/10.3133/ds259.","productDescription":"HTML Document","costCenters":[{"id":280,"text":"Florida Integrated Science Center-St. Petersburg / Center for Coastal & Watershed Studies","active":false,"usgs":true}],"links":[{"id":194711,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds259.PNG"},{"id":11144,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/259/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Isles Dernieres","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.8221941,29.0462392 ], [ -90.8221941,29.0575506 ], [ -90.8011907,29.0575506 ], [ -90.8011907,29.0462392 ], [ -90.8221941,29.0462392 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db67425b","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":292712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":292710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferina, Nick F.","contributorId":70501,"corporation":false,"usgs":true,"family":"Ferina","given":"Nick","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":292713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292709,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":80487,"text":"ds289 - 2007 - Sedimentary properties of shallow marine cores collected in June and September 2006, Hanalei Bay, Kaua'i, Hawai'i","interactions":[],"lastModifiedDate":"2022-08-26T19:24:11.979586","indexId":"ds289","displayToPublicDate":"2007-10-04T00:00:00","publicationYear":"2007","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":"289","title":"Sedimentary properties of shallow marine cores collected in June and September 2006, Hanalei Bay, Kaua'i, Hawai'i","docAbstract":"Sedimentary facies, short-lived isotopes 7Be, 137Cs, and 210Pb, and magnetic properties of sediment cores in Hanalei Bay, Kaua‘i, Hawai‘i, were used to assess sediment sources and patterns of deposition associated with seasonal flooding of the Hanalei River. Sediment cores were collected from the seafloor in June and September of 2006 to supplement similar data collected during the summer of 2005. The youngest and thickest terrigenous sediment was observed on the east side of the bay: near the Hanalei River mouth and in a bathymetric depression, known locally as the Black Hole, that acts as a temporary sediment sink. Deposits from floods that occurred between February and April 2006 left flood deposits in the eastern bay that, by June of 2006, were on the order of 10 cm thick. A flood occurred on August 7, 2006, that was smaller than floods that occurred the previous winter but was a substantial discharge event for the summer season. Deposits from the winter 2006 floods continued to dominate the sedimentary record in the eastern bay through early fall, even after the addition of newer sediment during the August 7 flood; this is consistent with the much higher sediment input of the winter floods compared with the August 7 flood. Broad variations in magnetic grain size and relative magnetite-hematite abundance in several sediment cores indicate many sources of upland terrigenous sediment. As a group, recent flood deposits show much less variation in these properties compared with older deposits, implying either that the 2006 winter–spring flood sediment originated from one or more distinct upland settings, or that substantial mixing of sediment from multiple sources occurred during transport.
\nSediment is most readily remobilized and advected out of the bay during winter, when oceanic conditions are energetic. In summer, wave and current measurements made concurrently with this study showed weak currents and little wave energy, indicating that sediment delivered during summer floods most likely remains in the bay until winter storms can remove it. Increased turbidity and sedimentation on corals resulting from floods of the Hanalei River could affect the sustainability of coral reefs and their many associated species. This possibility is of particular concern during summer months when wave energy is low and sediment is not readily remobilized and transported out of the bay. The timing (seasonality) and magnitude of sediment input to the coastal ocean relative to seasonal variations in wave and current energy could have significant ecological consequences for coral-reef communities in the Hawaiian Islands.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds289","usgsCitation":"Draut, A.E., Bothner, M., Reynolds, R.L., Buchan, O.C., Cochran, S., Casso, M.A., Baldwin, S., Goldstein, H.L., Xiao, J., Field, M.E., and Logan, J., 2007, Sedimentary properties of shallow marine cores collected in June and September 2006, Hanalei Bay, Kaua'i, Hawai'i (Version 1.0): U.S. Geological Survey Data Series 289, Report: 68 p.; Appendix; CSV Files, https://doi.org/10.3133/ds289.","productDescription":"Report: 68 p.; Appendix; CSV Files","numberOfPages":"69","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":10310,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/289/","linkFileType":{"id":5,"text":"html"}},{"id":405713,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81849.htm","linkFileType":{"id":1,"text":"pdf"}},{"id":292897,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/289/ds289_appendix3.xls"},{"id":292896,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/289/ds289.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":192417,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds289.PNG"},{"id":292898,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/289/csv"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hanalei Bay, Kauai","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159.5222,\n 22.2028\n ],\n [\n -159.4933,\n 22.2028\n ],\n [\n -159.4933,\n 22.2306\n ],\n [\n -159.5222,\n 22.2306\n ],\n [\n -159.5222,\n 22.2028\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db66089a","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":292731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":292721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buchan, Olivia C.","contributorId":26002,"corporation":false,"usgs":true,"family":"Buchan","given":"Olivia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":292725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":292726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casso, Michael A. mcasso@usgs.gov","contributorId":13306,"corporation":false,"usgs":true,"family":"Casso","given":"Michael","email":"mcasso@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baldwin, Sandra M. sbrosnahan@usgs.gov","contributorId":75620,"corporation":false,"usgs":true,"family":"Baldwin","given":"Sandra M.","email":"sbrosnahan@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292730,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":292722,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xiao, Jiang","contributorId":49850,"corporation":false,"usgs":true,"family":"Xiao","given":"Jiang","email":"","affiliations":[],"preferred":false,"id":292729,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292723,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":292728,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":80483,"text":"ofr20071306 - 2007 - Gravity Data from Newark Valley, White Pine County, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:38","indexId":"ofr20071306","displayToPublicDate":"2007-10-04T00:00:00","publicationYear":"2007","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":"2007-1306","title":"Gravity Data from Newark Valley, White Pine County, Nevada","docAbstract":"The Newark Valley area, eastern Nevada is one of thirteen major ground-water basins investigated by the BARCAS (Basin and Range Carbonate Aquifer Study) Project. Gravity data are being used to help characterize the geophysical framework of the region. Although gravity coverage was extensive over parts of the BARCAS study area, data were sparse for a number of the valleys, including the northern part of Newark Valley. We addressed this lack of data by establishing seventy new gravity stations in and around Newark Valley. All available gravity data were then evaluated to determine their reliability, prior to calculating an isostatic residual gravity map to be used for subsequent analyses. A gravity inversion method was used to calculate depths to pre-Cenozoic basement rock and estimates of maximum alluvial/volcanic fill. The enhanced gravity coverage and the incorporation of lithologic information from several deep oil and gas wells yields a view of subsurface shape of the basin and will provide information useful for the development of hydrogeologic models for the region.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071306","usgsCitation":"Mankinen, E.A., and McKee, E.H., 2007, Gravity Data from Newark Valley, White Pine County, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2007-1306, iii, 18 p., https://doi.org/10.3133/ofr20071306.","productDescription":"iii, 18 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":314,"text":"Geophysics Unit of Menlo Park, CA (GUMP)","active":false,"usgs":true}],"links":[{"id":192293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10308,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1306/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,39.3 ], [ -116,40.2 ], [ -115.3,40.2 ], [ -115.3,39.3 ], [ -116,39.3 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673f00","contributors":{"authors":[{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":292705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Edwin H. mckee@usgs.gov","contributorId":3728,"corporation":false,"usgs":true,"family":"McKee","given":"Edwin","email":"mckee@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":292706,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80486,"text":"ds231 - 2007 - USGS Digital Spectral Library splib06a","interactions":[{"subject":{"id":80486,"text":"ds231 - 2007 - USGS Digital Spectral Library splib06a","indexId":"ds231","publicationYear":"2007","noYear":false,"title":"USGS Digital Spectral Library splib06a"},"predicate":"SUPERSEDED_BY","object":{"id":70180400,"text":"ds1035 - 2017 - USGS Spectral Library Version 7","indexId":"ds1035","publicationYear":"2017","noYear":false,"title":"USGS Spectral Library Version 7"},"id":1}],"supersededBy":{"id":70180400,"text":"ds1035 - 2017 - USGS Spectral Library Version 7","indexId":"ds1035","publicationYear":"2017","noYear":false,"title":"USGS Spectral Library Version 7"},"lastModifiedDate":"2017-04-10T13:45:28","indexId":"ds231","displayToPublicDate":"2007-10-04T00:00:00","publicationYear":"2007","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":"231","title":"USGS Digital Spectral Library splib06a","docAbstract":"Introduction\r\n\r\nWe have assembled a digital reflectance spectral library that covers the wavelength range from the ultraviolet to far infrared along with sample documentation. The library includes samples of minerals, rocks, soils, physically constructed as well as mathematically computed mixtures, plants, vegetation communities, microorganisms, and man-made materials. The samples and spectra collected were assembled for the purpose of using spectral features for the remote detection of these and similar materials.\r\n\r\nAnalysis of spectroscopic data from laboratory, aircraft, and spacecraft instrumentation requires a knowledge base. The spectral library discussed here forms a knowledge base for the spectroscopy of minerals and related materials of importance to a variety of research programs being conducted at the U.S. Geological Survey. Much of this library grew out of the need for spectra to support imaging spectroscopy studies of the Earth and planets. Imaging spectrometers, such as the National Aeronautics and Space Administration (NASA) Airborne Visible/Infra Red Imaging Spectrometer (AVIRIS) or the NASA Cassini Visual and Infrared Mapping Spectrometer (VIMS) which is currently orbiting Saturn, have narrow bandwidths in many contiguous spectral channels that permit accurate definition of absorption features in spectra from a variety of materials. Identification of materials from such data requires a comprehensive spectral library of minerals, vegetation, man-made materials, and other subjects in the scene.\r\n\r\nOur research involves the use of the spectral library to identify the components in a spectrum of an unknown. Therefore, the quality of the library must be very good. However, the quality required in a spectral library to successfully perform an investigation depends on the scientific questions to be answered and the type of algorithms to be used. For example, to map a mineral using imaging spectroscopy and the mapping algorithm of Clark and others (1990a, 2003b), one simply needs a diagnostic absorption band. The mapping system uses continuum-removed reference spectral features fitted to features in observed spectra. Spectral features for such algorithms can be obtained from a spectrum of a sample containing large amounts of contaminants, including those that add other spectral features, as long as the shape of the diagnostic feature of interest is not modified. If, however, the data are needed for radiative transfer models to derive mineral abundances from reflectance spectra, then completely uncontaminated spectra are required. This library contains spectra that span a range of quality, with purity indicators to flag spectra for (or against) particular uses.\r\n\r\nAcquiring spectral measurements and performing sample characterizations for this library has taken about 15 person-years of effort. Software to manage the library and provide scientific analysis capability is provided (Clark, 1980, 1993). A personal computer (PC) reader for the library is also available (Livo and others, 1993). The program reads specpr binary files (Clark, 1980, 1993) and plots spectra. Another program that reads the specpr format is written in IDL (Kokaly, 2005).\r\n\r\nIn our view, an ideal spectral library consists of samples covering a very wide range of materials, has large wavelength range with very high precision, and has enough sample analyses and documentation to establish the quality of the spectra. Time and available resources limit what can be achieved.\r\n\r\nIdeally, for each mineral, the sample analysis would include X-ray diffraction (XRD), electron microprobe (EM) or X-ray fluorescence (XRF), and petrographic microscopic analyses. For some minerals, such as iron oxides, additional analyses such as Mossbauer would be helpful. We have found that to make the basic spectral measurements, provide XRD, EM or XRF analyses, and microscopic analyses, document the results, and complete an entry of one spectral library sample, all takes about ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds231","usgsCitation":"Clark, R.N., Swayze, G.A., Wise, R., Livo, K., Hoefen, T.M., Kokaly, R., and Sutley, S.J., 2007, USGS Digital Spectral Library splib06a: U.S. Geological Survey Data Series 231, Available online, https://doi.org/10.3133/ds231.","productDescription":"Available online","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194844,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10309,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://speclab.cr.usgs.gov/spectral.lib06/ds231/index.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db626a2f","contributors":{"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":292715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":292716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Richard A.","contributorId":84857,"corporation":false,"usgs":true,"family":"Wise","given":"Richard A.","affiliations":[],"preferred":false,"id":292720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livo, K. Eric 0000-0001-7331-8130","orcid":"https://orcid.org/0000-0001-7331-8130","contributorId":26338,"corporation":false,"usgs":true,"family":"Livo","given":"K. Eric","affiliations":[],"preferred":false,"id":292717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":292714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":292719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sutley, Stephen J.","contributorId":60296,"corporation":false,"usgs":true,"family":"Sutley","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":292718,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":80484,"text":"ds263 - 2007 - Water-quality, sediment-quality, stream-habitat, and biological data for Mustang Bayou near Houston, Texas, 2004-05","interactions":[],"lastModifiedDate":"2016-08-23T14:06:02","indexId":"ds263","displayToPublicDate":"2007-10-04T00:00:00","publicationYear":"2007","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":"263","title":"Water-quality, sediment-quality, stream-habitat, and biological data for Mustang Bayou near Houston, Texas, 2004-05","docAbstract":"The U.S. Geological Survey, in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality, collected water-quality, stream-habitat, and biological data from six sites (downstream order M6-M1) primarily in Brazoria County southeast of Houston, Texas, during September 2004-August 2005 and collected bed sediment data from one site in September 2005. Water-quality data collection consisted of continuously monitored (for periods of 24 hours to several days, six times) water temperature, pH, specific conductance, and dissolved oxygen and periodically collected samples of several properties and constituents. Monitored dissolved oxygen measurements were below minimum and 24-hour criteria at all sites except M2. Nitrogen compounds, phosphorus, biochemical oxygen demand, chlorophyll-a, E. coli, chloride, sulfate, solids, suspended sediment concentration, and pesticides were assessed at all sites. Concentrations of nitrogen compounds and phosphorus did not exceed Texas State screening levels. Biochemical oxygen demand was less than 4.0 milligrams per liter at all sites except M6, where the maximum concentration was 8.1 milligrams per liter. Concentrations of chlorophyll-a were less than the State screening level at all sites except M6, where four of eight samples equaled or exceeded the screening level. Twenty of 48 samples from Mustang Bayou had E. coli densities that exceeded the State single-sample water-quality standard. Median chloride concentrations from each site were between 42.2 and 123 milligrams per liter. Fifteen pesticide compounds (six herbicides and nine insecticides) were detected in 24 water samples. The most frequently detected pesticide was atrazine, which was found in every sample. Other frequently detected pesticides were 2-chloro-4-isopropylamino-6-amino-s-triazine (CIAT), prometon, tebuthiuron, fipronil, and the pesticide degradates, fipronil sulfide and fipronil sulfone. Sediment samples were collected from the stream bottom at M1 and analyzed for concentrations of trace elements (metals), polycyclic aromatic hydrocarbons, organochlorine pesticides, and polychlorinated biphenyls. No organochlorine pesticides or polychlorinated biphenyls were detected. No concentrations of metals exceeded State screening levels. Measurable concentrations of 11 polycyclic aromatic hydrocarbon (PAH) compounds were detected, and three other PAH compounds were detected but not quantified by the laboratory. Stream habitat and aquatic biota (benthic macroinvertebrates and fish) were surveyed at each site three times during the study to evaluate aquatic life use. Characteristics of habitat measured during each survey were scored using a habitat quality index. Average aquatic-life-use scores were 'limited' for M3-M6 and 'intermediate' for M1 and M2. A total of 2,557 macroinvertebrate individuals were identified from Mustang Bayou. Benthic macroinvertebrate assemblages were scored using indexes specified by the Texas Commission on Environmental Quality. Average aquatic-life-use scores were 'limited' at M1, 'intermediate' at M3-M6, and 'high' at M2. Forty-six species of fish representing 20 families were collected from Mustang Bayou. A total of 4,115 fish were collected. Sunfish (Centrarchidae) was the most abundant family, accounting for about 28 percent. Aquatic-life-use scores at sites in Mustang Bayou were determined using the regional index of biotic integrity for ecoregion 34 and were 'high' for all sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds263","collaboration":"Prepared in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality","usgsCitation":"Sneck-Fahrer, D.A., and East, J., 2007, Water-quality, sediment-quality, stream-habitat, and biological data for Mustang Bayou near Houston, Texas, 2004-05 (Version 1.0): U.S. Geological Survey Data Series 263, vi, 82 p., https://doi.org/10.3133/ds263.","productDescription":"vi, 82 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-09-01","temporalEnd":"2005-08-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":190984,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds263.gif"},{"id":10575,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/263/","linkFileType":{"id":5,"text":"html"}},{"id":327700,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/263/pdf/ds263.pdf","size":"43.8 MB","linkFileType":{"id":1,"text":"pdf"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.66666666666667,29.25 ], [ -95.66666666666667,29.616666666666667 ], [ -95.05,29.616666666666667 ], [ -95.05,29.25 ], [ -95.66666666666667,29.25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fcc6a","contributors":{"authors":[{"text":"Sneck-Fahrer, Debra A.","contributorId":43844,"corporation":false,"usgs":true,"family":"Sneck-Fahrer","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"East, Jeffery W. jweast@usgs.gov","contributorId":1683,"corporation":false,"usgs":true,"family":"East","given":"Jeffery W.","email":"jweast@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292707,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":80481,"text":"ofr20071111 - 2007 - A human-dimensions review of human-wildlife disturbance: A literature review of impacts, frameworks, and management solutions","interactions":[],"lastModifiedDate":"2017-12-19T19:21:50","indexId":"ofr20071111","displayToPublicDate":"2007-10-03T00:00:00","publicationYear":"2007","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":"2007-1111","title":"A human-dimensions review of human-wildlife disturbance: A literature review of impacts, frameworks, and management solutions","docAbstract":"The following report was prepared for the U.S. Fish and Wildlife Service National Refuge System in support of their Comprehensive Conservation Planning (CCP) efforts by the Policy Analysis and Science Assistance Branch (PASA), Fort Collins Science Center, U.S. Geological Survey. While this document provides a summary of contemporary recreation management literature and methodologies, relevant to the subject of managing wildlife disturbances on national wildlife refuges, this document should be viewed as a starting point for management administrators. This document identifies general issues relating to wildlife disturbance and visitor impacts including a description of disturbance, recreational impacts, related human dimensions applications, management frameworks, and a general summary of management solutions. The section on descriptions of wildlife disturbance and impacts draws heavily from the report entitled 'Managing the Impacts of Visitor Use on Waterbirds -- A Literature Review of Impacts and Mitigation' (DeLong, 2002; Delong and Adamcik, in press) and is referenced in the text. This document is more comprehensive in its review of wildlife response to disturbance. This document is intended to discuss the human-dimensions aspect of wildlife disturbance, summarizing human dimensions and recreation management literature as it applies to this topic.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071111","usgsCitation":"Cline, R., Sexton, N., and Stewart, S., 2007, A human-dimensions review of human-wildlife disturbance: A literature review of impacts, frameworks, and management solutions: U.S. Geological Survey Open-File Report 2007-1111, iv, 88 p., https://doi.org/10.3133/ofr20071111.","productDescription":"iv, 88 p.","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":195481,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4959e4b0b290850ef153","contributors":{"authors":[{"text":"Cline, Robert","contributorId":73299,"corporation":false,"usgs":true,"family":"Cline","given":"Robert","email":"","affiliations":[],"preferred":false,"id":292702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexton, Natalie","contributorId":103320,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","affiliations":[],"preferred":false,"id":292703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Susan C.","contributorId":48257,"corporation":false,"usgs":true,"family":"Stewart","given":"Susan C.","affiliations":[],"preferred":false,"id":292701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":80479,"text":"sir20075141 - 2007 - Hydrologic, Hydraulic, and Flood Analyses of the Blackberry Creek Watershed, Kendall County, Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:19","indexId":"sir20075141","displayToPublicDate":"2007-10-03T00:00:00","publicationYear":"2007","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":"2007-5141","title":"Hydrologic, Hydraulic, and Flood Analyses of the Blackberry Creek Watershed, Kendall County, Illinois","docAbstract":"Results of the hydrologic model, flood-frequency, hydraulic model, and flood-hazard analysis of the Blackberry Creek watershed in Kendall County, Illinois, indicate that the 100-year and 500-year flood plains cover approximately 3,699 and 3,762 acres of land, respectively. On the basis of land-cover data for 2003, most of the land in the flood plains was cropland and residential land. Although many acres of residential land were included in the flood plain, this land was mostly lawns, with 25 homes within the 100-year flood plain, and 41 homes within the 500-year flood plain in the 2003 aerial photograph.\r\n\r\nThis report describes the data collection activities to refine the hydrologic and hydraulic models used in an earlier study of the Kane County part of the Blackberry Creek watershed and to extend the flood-frequency analysis through water year 2003. The results of the flood-hazard analysis are presented in graphical and tabular form.\r\n\r\nThe hydrologic model, Hydrological Simulation Program - FORTRAN (HSPF), was used to simulate continuous water movement through various land-use patterns in the watershed. Flood-frequency analysis was applied to an annual maximum series to determine flood quantiles in subbasins for flood-hazard analysis. The Hydrologic Engineering Center- River Analysis System (HEC-RAS) hydraulic model was used to determine the 100-year and 500-year flood elevations, and the 100-year floodway. The hydraulic model was calibrated and verified using observations during three storms at two crest-stage gages and the U.S. Geological Survey streamflowgaging station near Yorkville. Digital maps of the 100-year and 500-year flood plains and the 100-year floodway for each tributary and the main stem of Blackberry Creek were compiled.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075141","collaboration":"Prepared in cooperation with the United City of Yorkville, Kendall County, the Village of Montgomery, Illinois Department of Natural Resources-Office of Water Resources, and Federal Emergency Management Agency","usgsCitation":"Murphy, E., Straub, T., Soong, D., and Hamblen, C.S., 2007, Hydrologic, Hydraulic, and Flood Analyses of the Blackberry Creek Watershed, Kendall County, Illinois: U.S. Geological Survey Scientific Investigations Report 2007-5141, vi, 47 p., https://doi.org/10.3133/sir20075141.","productDescription":"vi, 47 p.","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":191958,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10307,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5141/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d5e4b07f02db5dd9fc","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":292697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":292695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soong, David T.","contributorId":87487,"corporation":false,"usgs":true,"family":"Soong","given":"David T.","affiliations":[],"preferred":false,"id":292698,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamblen, Christopher S.","contributorId":9726,"corporation":false,"usgs":true,"family":"Hamblen","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":292696,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":80474,"text":"ofr20071280 - 2007 - Metallogeny of Mesoproterozoic sedimentary rocks in Idaho and Montana - Studies by the Mineral Resources Program, U.S. Geological Survey, 2004-2007","interactions":[],"lastModifiedDate":"2022-06-03T21:14:44.777819","indexId":"ofr20071280","displayToPublicDate":"2007-10-02T00:00:00","publicationYear":"2007","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":"2007-1280","title":"Metallogeny of Mesoproterozoic sedimentary rocks in Idaho and Montana - Studies by the Mineral Resources Program, U.S. Geological Survey, 2004-2007","docAbstract":"Preface\r\n\r\nBy J.Michael O'Neill\r\n\r\nThe major emphasis of this project was to extend and refine the known Mesoproterozoic geologic and metallogenic framework of the region along and adjacent to the Idaho-Montana boundary north of the Snake River Plain. The Mesoproterozoic metasedimentary rocks in this part of east-central Idaho host important Cu-Co-Au stratabound mineral resources as well as younger, epigenetic hydrothermal, sulfide base-metal mineral deposits. Two tasks of this study were to more accurately understand and portray the character and origin of cobalt-copper-gold deposits that compose the Idaho cobalt belt and specifically to analyze ore mineralogy and metallogenesis within the Blackbird mining district in the central part of the belt. Inasmuch as the cobalt belt is confined to the Mesoproterozoic Lemhi Group strata of east-central Idaho, geologic investigations were also undertaken to determine the relationship between strata of the Lemhi Group and the more extensive, noncobalt-bearing, Belt-Purcell Supergroup strata to the north and northwest.\r\n\r\nAbrupt lateral differences in the character and thickness of stratigraphic units in the Mesoproterozoic Lemhi Basin may indicate differential sedimentation in contemporaneous fault-bounded subbasins. It is suggested that northeast-trending basement faults of the Great Falls tectonic zone controlled development of the subbasins. O'Neill and others (chapter A, this volume) document a second major basement fault in this area, the newly recognized northwest-striking Great Divide megashear, a zone 1-2 km wide of left-lateral strike-slip faults active during Mesoproterozoic sedimentation and bounding the Cu-Co belt on the northwest. The megashear is a crustal-scale tectonic feature that separates Lemhi Group strata from roughly coeval Belt-Purcell strata to the north and northwest in Montana and northern Idaho.\r\n\r\nThe results of numerous geologic investigations of the Cu- and Co-bearing Mesoproterozoic rocks of east-central Idaho are integrated and summarized by Bookstrom and others (chapter B, this volume). In particular, their field investigations and analysis of evidence and previous arguments for synsedimentary versus epigenetic mineral deposit types, both of which have been postulated by earlier workers, led them to conclude that both processes were likely instrumental in forming the ore deposits of the Blackbird district.\r\n\r\nFinally, this report supplies new data on isotopic ratios of sulfur, oxygen, carbon, and helium in minerals associated with cobalt-bearing ores of the cobalt belt. Slack (chapter C, this volume) identified several previously unrecognized rare-earth-element minerals in Blackbird ores: monazite (Ce,La,Y,Th)PO4, xenotime (YPO4), allanite (CaCe)2(Al,Fe)3Si3O12(OH), and gadolinite (Be2FeY2Si2O10). Light rare-earth elements reside mostly in monazite, whereas yttrium and heavy rare-earth minerals reside mostly in xenotime. Dated monazite, which in the Blackbird district is interstitial to cobaltite, is Cretaceous. This date brings into question the otherwise geologically convincing interpretation of Blackbird ores as being of Mesoproterozoic age and synsedimentary origin.\r\n\r\nThis volume consists of three summary articles:\r\n\r\nA. Great Divide megashear, Montana, Idaho, and Washington: An intraplate crustal-scale shear zone recurrently active since the Mesoproterozoic by J. Michael O'Neill, Edward T. Ruppel, and David A. Lopez\r\n\r\nB. Blackbird Fe-Cu-Co-Au-REE deposits by Arthur A. Bookstrom, Craig A. Johnson, Gary P. Landis, and Thomas P. Frost\r\n\r\nC. Geochemical and mineralogical studies of sulfide and iron oxide deposits in the Idaho cobalt belt by John F. Slack","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071280","usgsCitation":"2007, Metallogeny of Mesoproterozoic sedimentary rocks in Idaho and Montana - Studies by the Mineral Resources Program, U.S. Geological Survey, 2004-2007 (Version 1.0): U.S. Geological Survey Open-File Report 2007-1280, v, 28 p., https://doi.org/10.3133/ofr20071280.","productDescription":"v, 28 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192458,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10302,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1280/","linkFileType":{"id":5,"text":"html"}},{"id":401725,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81839.htm"}],"country":"United States","state":"Idaho, Montana","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-111.044156,43.020052],[-111.046689,42.001567],[-112.173352,41.996568],[-112.192976,42.001167],[-112.709375,42.000309],[-113.893261,41.988057],[-114.041723,41.99372],[-114.598267,41.994511],[-114.831077,42.002207],[-115.031783,41.996008],[-117.026222,42.000252],[-117.02678,43.829841],[-117.01077,43.862269],[-116.98294,43.86771],[-116.977332,43.905812],[-116.96247,43.928336],[-116.963666,43.952644],[-116.971835,43.962806],[-116.942944,43.987512],[-116.934485,44.021249],[-116.943361,44.035645],[-116.972504,44.048771],[-116.977351,44.085364],[-116.933704,44.100039],[-116.894309,44.158114],[-116.900103,44.176851],[-116.925392,44.191544],[-116.971675,44.197256],[-116.975905,44.242844],[-117.031862,44.248635],[-117.042283,44.242775],[-117.050057,44.22883],[-117.089503,44.258234],[-117.098531,44.275533],[-117.107673,44.280763],[-117.118018,44.278945],[-117.143394,44.258262],[-117.170342,44.25889],[-117.198147,44.273828],[-117.222647,44.297578],[-117.217843,44.30718],[-117.2055,44.311789],[-117.189842,44.335007],[-117.196149,44.346362],[-117.235117,44.373853],[-117.242675,44.396548],[-117.22698,44.405583],[-117.215072,44.427162],[-117.215573,44.453746],[-117.225076,44.482346],[-117.200237,44.492027],[-117.181583,44.52296],[-117.161033,44.525166],[-117.149242,44.536151],[-117.14293,44.557236],[-117.147934,44.562143],[-117.146032,44.568603],[-117.126009,44.581553],[-117.120522,44.614658],[-117.098221,44.640689],[-117.095868,44.664737],[-117.07912,44.692175],[-117.061799,44.706654],[-117.062273,44.727143],[-117.03827,44.748179],[-117.013802,44.756841],[-116.998903,44.756382],[-116.972902,44.772581],[-116.9368,44.782881],[-116.9308,44.790981],[-116.931099,44.804781],[-116.896249,44.84833],[-116.865338,44.870599],[-116.852427,44.887577],[-116.83199,44.933007],[-116.850737,44.958113],[-116.858313,44.978761],[-116.846103,44.999878],[-116.848037,45.021728],[-116.797329,45.060267],[-116.78371,45.076972],[-116.783537,45.093605],[-116.774847,45.105536],[-116.754643,45.113972],[-116.731216,45.139934],[-116.724205,45.171501],[-116.709536,45.203015],[-116.703607,45.239757],[-116.691388,45.263739],[-116.675587,45.274867],[-116.672733,45.283183],[-116.673793,45.321511],[-116.619057,45.39821],[-116.597447,45.41277],[-116.588195,45.44292],[-116.554829,45.46293],[-116.558803,45.480076],[-116.548676,45.510385],[-116.523638,45.54661],[-116.502756,45.566608],[-116.48297,45.577008],[-116.463635,45.602785],[-116.463504,45.615785],[-116.487894,45.649769],[-116.535396,45.691734],[-116.535698,45.734231],[-116.546643,45.750972],[-116.593004,45.778541],[-116.632032,45.784979],[-116.646342,45.779815],[-116.665344,45.781998],[-116.680139,45.79359],[-116.697192,45.820135],[-116.711822,45.826267],[-116.736268,45.826179],[-116.759787,45.816167],[-116.782676,45.825376],[-116.788329,45.831928],[-116.790151,45.849851],[-116.814142,45.877551],[-116.84355,45.892273],[-116.859795,45.907264],[-116.892935,45.974396],[-116.91868,45.999875],[-116.942656,46.061],[-116.957372,46.075449],[-116.978938,46.080007],[-116.981962,46.084915],[-116.978823,46.095731],[-116.955263,46.102237],[-116.950276,46.123464],[-116.922648,46.160744],[-116.923958,46.17092],[-116.965841,46.203417],[-116.955264,46.23088],[-116.966742,46.256923],[-116.991134,46.276342],[-116.986688,46.296662],[-117.020663,46.314793],[-117.027744,46.338751],[-117.051735,46.343833],[-117.06263,46.352522],[-117.062785,46.365287],[-117.046915,46.379577],[-117.034696,46.418318],[-117.039813,46.425425],[-117.042657,47.760857],[-117.032351,48.999188],[-104.048736,48.999877],[-104.041662,47.862282],[-104.046822,46.000199],[-104.040128,44.999987],[-105.913382,45.000941],[-105.928184,44.993647],[-106.263586,44.993788],[-107.351441,45.001407],[-109.08301,44.99961],[-109.103445,45.005904],[-110.110103,45.003905],[-110.199503,44.996188],[-110.362698,45.000593],[-110.402927,44.99381],[-110.552433,44.992237],[-110.705272,44.992324],[-110.785008,45.002952],[-111.055199,45.001321],[-111.044156,43.020052]]]},\"properties\":{\"name\":\"Idaho\",\"nation\":\"USA \"}}]}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4fe4b07f02db628738","contributors":{"editors":[{"text":"O’Neill, J. Michael jmoneill@usgs.gov","contributorId":99522,"corporation":false,"usgs":true,"family":"O’Neill","given":"J.","email":"jmoneill@usgs.gov","middleInitial":"Michael","affiliations":[],"preferred":false,"id":749300,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":80477,"text":"sir20075081 - 2007 - Analyses of Water-Level Differentials and Variations in Recharge between the Surficial and Upper Floridan Aquifers in East-Central and Northeast Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:36","indexId":"sir20075081","displayToPublicDate":"2007-10-02T00:00:00","publicationYear":"2007","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":"2007-5081","title":"Analyses of Water-Level Differentials and Variations in Recharge between the Surficial and Upper Floridan Aquifers in East-Central and Northeast Florida","docAbstract":"Continuous (daily) water-level data collected at 29 monitoring-well cluster sites were analyzed to document variations in recharge between the surficial (SAS) and Floridan (FAS) aquifer systems in east-central and northeast Florida. According to Darcy's law, changes in the water-level differentials (differentials) between these systems are proportional to changes in the vertical flux of water between them. Variations in FAS recharge rates are of interest to water-resource managers because changes in these rates affect sensitive water resources subject to minimum flow and water-level restrictions, such as the amount of water discharged from springs and changes in lake and wetland water levels.\r\n\r\nMean daily differentials between 2000-2004 ranged from less than 1 foot at a site in east-central Florida to more than 114 feet at a site in northeast Florida. Sites with greater mean differentials exhibited lower percentage-based ranges in fluctuations than did sites with lower mean differentials. When averaged for all sites, differentials (and thus Upper Floridan aquifer (UFA) recharge rates) decreased by about 18 percent per site between 2000-2004. This pattern can be associated with reductions in ground-water withdrawals from the UFA that occurred after 2000 as the peninsula emerged from a 3-year drought. Monthly differentials exhibited a well-defined seasonal pattern in which UFA recharge rates were greatest during the dry spring months (8 percent above the 5-year daily mean in May) and least during the wetter summer/early fall months (4 percent below the 5-year daily mean in October). In contrast, differentials exceeded the 5-year daily mean in all but 2 months of 2000, indicative of relatively high ground-water withdrawals throughout the year. On average, the UFA received about 6 percent more recharge at the project sites in 2000 than between 2000-2004.\r\n\r\nNo statistically significant correlations were detected between monthly differentials and precipitation at 27 of the 29 sites between 2000-2004. For longer periods of record, double-mass plots of differentials and precipitation indicate the UFA recharge rate increased by about 34 percent at a site in west Orange County between the periods of 1974-1983 and 1983-2004. Given the absence of a trend in rainfall, the increase can likely be attributed to ground-water development. At a site in south Lake County, double-mass plots indicate that dredging of the Palatlakaha River and other nearby drainage improvements may have reduced recharge rates to the UFA by about 30 percent from the period between 1960-1965 to 1965-1970.\r\n\r\nWater-level differentials were positively correlated with land-surface altitude. The correlation was particularly strong for the 11 sites located in physiographically-defined ridge areas (coefficient of determination (R2) = 0.89). Weaker yet statistically significant negative correlations were detected between differentials and the model-calibrated leakance and thickness of the intermediate confining unit (ICU).\r\n\r\nRecharge to the UFA decreased by about 14 percent at the Charlotte Street monitoring-well site in Seminole County between 2000-2004. The decrease can be attributed to a reduction in nearby pumpage, from 57 to 49 million gallons per day over the 5-year period, with a subsequent recovery in UFA water levels that exceeded those in the SAS.\r\n\r\nDifferentials at Charlotte were influenced by system memory of both precipitation and pumpage. While not statistically correlated with monthly precipitation, monthly differentials were well correlated with the 9-month moving average of precipitation. Similarly, differentials were best correlated with the 2-month moving average of pumpage. The polynomial function that quantifies the correlation between differentials and the 2-month moving average of pumpage indicates that, in terms of UFA recharge rates, the system was closer to a steady-state condition in 2000 when pumpage rates were high, than from 2001-2004 when p","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075081","collaboration":"Prepared in cooperation with St. Johns River Water Management District","usgsCitation":"Murray, L.C., 2007, Analyses of Water-Level Differentials and Variations in Recharge between the Surficial and Upper Floridan Aquifers in East-Central and Northeast Florida: U.S. Geological Survey Scientific Investigations Report 2007-5081, viii, 58 p., https://doi.org/10.3133/sir20075081.","productDescription":"viii, 58 p.","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":122356,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5081.jpg"},{"id":10305,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5081/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83,27 ], [ -83,31 ], [ -80,31 ], [ -80,27 ], [ -83,27 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68382d","contributors":{"authors":[{"text":"Murray, Louis C. Jr.","contributorId":19980,"corporation":false,"usgs":true,"family":"Murray","given":"Louis","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":292690,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":80475,"text":"sir20075140 - 2007 - Visualization and Time-Series Analysis of Ground-Water Data for C-Area, Savannah River Site, South Carolina, 1984-2004","interactions":[],"lastModifiedDate":"2017-01-17T09:54:12","indexId":"sir20075140","displayToPublicDate":"2007-10-02T00:00:00","publicationYear":"2007","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":"2007-5140","title":"Visualization and Time-Series Analysis of Ground-Water Data for C-Area, Savannah River Site, South Carolina, 1984-2004","docAbstract":"In 2004, the U.S. Geological Survey, in cooperation with the U.S. Department of Energy, initiated a study of historical ground-water data of C-Area on the Savannah River Site in South Carolina. The soils and ground water at C-Area are contaminated with high concentrations of trichloroethylene and lesser amounts of tetrachloroethylene. The objectives of the investigation were (1) to analyze the historical data to determine if data-mining techniques could be applied to the historical database to ascertain whether natural attenuation of recalcitrant contaminants, such as volatile organic compounds, is occurring and (2) to determine whether inferential (surrogate) analytes could be used for more cost-effective monitoring. Twenty-one years of data (1984-2004) were collected from 396 wells in the study area and converted from record data to time-series data for analysis. A Ground-Water Data Viewer was developed to allow users to spatially and temporally visualize the analyte data. Overall, because the data were temporally and spatially sparse, data analysis was limited to only qualitative descriptions.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075140","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Conrads, P., Roehl, E.A., Daamen, R.C., Chapelle, F.H., Lowery, M.A., and Mundry, U.H., 2007, Visualization and Time-Series Analysis of Ground-Water Data for C-Area, Savannah River Site, South Carolina, 1984-2004: U.S. Geological Survey Scientific Investigations Report 2007-5140, vi, 33 p., https://doi.org/10.3133/sir20075140.","productDescription":"vi, 33 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":120913,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5140.jpg"},{"id":10303,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5140/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","otherGeospatial":"Savannah River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.83333333333333,33 ], [ -81.83333333333333,33.5 ], [ -81.41666666666667,33.5 ], [ -81.41666666666667,33 ], [ -81.83333333333333,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdb56","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":292677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daamen, Ruby C.","contributorId":105391,"corporation":false,"usgs":true,"family":"Daamen","given":"Ruby","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":292681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowery, Mark A.","contributorId":77872,"corporation":false,"usgs":true,"family":"Lowery","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":292680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mundry, Uwe H.","contributorId":55095,"corporation":false,"usgs":true,"family":"Mundry","given":"Uwe","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":292679,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":80476,"text":"ds296 - 2007 - Archive of digital and digitized analog boomer seismic reflection data collected during USGS cruise 96CCT02 in Copano, Corpus Christi, and Nueces Bays and Corpus Christi Bayou, Texas, July 1996","interactions":[],"lastModifiedDate":"2014-08-27T11:01:35","indexId":"ds296","displayToPublicDate":"2007-10-02T00:00:00","publicationYear":"2007","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":"296","title":"Archive of digital and digitized analog boomer seismic reflection data collected during USGS cruise 96CCT02 in Copano, Corpus Christi, and Nueces Bays and Corpus Christi Bayou, Texas, July 1996","docAbstract":"In June of 1996, the U.S. Geological Survey conducted geophysical surveys from Nueces to Copano Bays, Texas. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, GIS information, cruise log, and formal FGDC metadata. Filtered and gained digital images of the seismic profiles and high resolution scanned TIFF images of the original paper printouts are also provided.
\nThe archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992) are also provided.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds296","usgsCitation":"Harrison, A.S., Dadisman, S.V., Kindinger, J.L., Morton, R., Blum, M., Wiese, D.S., and Subiño, J., 2007, Archive of digital and digitized analog boomer seismic reflection data collected during USGS cruise 96CCT02 in Copano, Corpus Christi, and Nueces Bays and Corpus Christi Bayou, Texas, July 1996: U.S. Geological Survey Data Series 296, HTML Document, https://doi.org/10.3133/ds296.","productDescription":"HTML Document","costCenters":[{"id":277,"text":"Florida Integrated Science Center - St. Petersburg","active":false,"usgs":true}],"links":[{"id":192393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds296.PNG"},{"id":10304,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/296/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"Corpus Christi","otherGeospatial":"Corpus Christi Bayou;Nueces Bays","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db69214d","contributors":{"authors":[{"text":"Harrison, Arnell S. 0000-0002-5581-2255","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":35021,"corporation":false,"usgs":true,"family":"Harrison","given":"Arnell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":292687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":292684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":292683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morton, Robert A.","contributorId":88333,"corporation":false,"usgs":true,"family":"Morton","given":"Robert A.","affiliations":[],"preferred":false,"id":292689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blum, Mike D.","contributorId":55096,"corporation":false,"usgs":true,"family":"Blum","given":"Mike D.","affiliations":[],"preferred":false,"id":292688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":292685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Subiño, Janice A.","contributorId":25649,"corporation":false,"usgs":true,"family":"Subiño","given":"Janice A.","affiliations":[],"preferred":false,"id":292686,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":80478,"text":"sir20075170 - 2007 - Comparison of peak-flow estimation methods for small drainage basins in Maine","interactions":[],"lastModifiedDate":"2023-06-14T13:46:40.75839","indexId":"sir20075170","displayToPublicDate":"2007-10-02T00:00:00","publicationYear":"2007","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":"2007-5170","title":"Comparison of peak-flow estimation methods for small drainage basins in Maine","docAbstract":"Understanding the accuracy of commonly used methods for estimating peak streamflows is important because the designs of bridges, culverts, and other river structures are based on these flows. Different methods for estimating peak streamflows were analyzed for small drainage basins in Maine. For the smallest basins, with drainage areas of 0.2 to 1.0 square mile, nine peak streamflows from actual rainfall events at four crest-stage gaging stations were modeled by the Rational Method and the Natural Resource Conservation Service TR-20 method and compared to observed peak flows. The Rational Method had a root mean square error (RMSE) of -69.7 to 230 percent (which means that approximately two thirds of the modeled flows were within -69.7 to 230 percent of the observed flows). The TR-20 method had an RMSE of -98.0 to 5,010 percent. Both the Rational Method and TR-20 underestimated the observed flows in most cases.\r\n\r\nFor small basins, with drainage areas of 1.0 to 10 square miles, modeled peak flows were compared to observed statistical peak flows with return periods of 2, 50, and 100 years for 17 streams in Maine and adjoining parts of New Hampshire. Peak flows were modeled by the Rational Method, the Natural Resources Conservation Service TR-20 method, U.S. Geological Survey regression equations, and the Probabilistic Rational Method.\r\n\r\nThe regression equations were the most accurate method of computing peak flows in Maine for streams with drainage areas of 1.0 to 10 square miles with an RMSE of -34.3 to 52.2 percent for 50-year peak flows. The Probabilistic Rational Method was the next most accurate method (-38.5 to 62.6 percent). The Rational Method (-56.1 to 128 percent) and particularly the TR-20 method (-76.4 to 323 percent) had much larger errors. Both the TR-20 and regression methods had similar numbers of underpredictions and overpredictions. The Rational Method overpredicted most peak flows and the Probabilistic Rational Method tended to overpredict peak flows from the smaller (less than 5 square miles) drainage basins and underpredict peak flows from larger drainage basins. The results of this study are consistent with the most comprehensive analysis of observed and modeled peak streamflows in the United States, which analyzed statistical peak flows from 70 drainage basins in the Midwest and the Northwest.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20075170","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Hodgkins, G.A., Hebson, C., Lombard, P., and Mann, A., 2007, Comparison of peak-flow estimation methods for small drainage basins in Maine: U.S. Geological Survey Scientific Investigations Report 2007-5170, vi, 33 p., https://doi.org/10.3133/sir20075170.","productDescription":"vi, 33 p.","onlineOnly":"Y","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":192084,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10306,"rank":2,"type":{"id":15,"text":"Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae349","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":292691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hebson, Charles","contributorId":60330,"corporation":false,"usgs":true,"family":"Hebson","given":"Charles","email":"","affiliations":[],"preferred":false,"id":292694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":23899,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","affiliations":[],"preferred":false,"id":292693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mann, Alexander","contributorId":18419,"corporation":false,"usgs":true,"family":"Mann","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":292692,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70074727,"text":"70074727 - 2007 - Mineral resource of the month: selenium","interactions":[],"lastModifiedDate":"2014-02-14T13:22:22","indexId":"70074727","displayToPublicDate":"2007-10-01T13:20:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1829,"text":"Geotimes","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: selenium","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geotimes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"George, M.W., 2007, Mineral resource of the month: selenium: Geotimes.","ipdsId":"IP-054300","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":282417,"type":{"id":11,"text":"Document"},"url":"https://www.geotimes.org/oct07/article.html?id=nn_selenium.html"},{"id":282418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6741e4b0b29085101436","contributors":{"authors":[{"text":"George, Micheal W. mgeorge@usgs.gov","contributorId":3128,"corporation":false,"usgs":true,"family":"George","given":"Micheal","email":"mgeorge@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":489756,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200435,"text":"70200435 - 2007 - Is there a risk associated with the insect repellent DEET (N,N-diethyl-m-toluamide) commonly found in aquatic environments?","interactions":[],"lastModifiedDate":"2021-05-27T14:43:22.690989","indexId":"70200435","displayToPublicDate":"2007-10-01T12:24:37","publicationYear":"2007","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":"Is there a risk associated with the insect repellent DEET (N,N-diethyl-m-toluamide) commonly found in aquatic environments?","docAbstract":"DEET (N,N-diethyl-m-toluamide) is the active ingredient of most commercial insect repellents. This compound has commonly been detected in aquatic water samples from around the world indicating that DEET is both mobile and persistent, despite earlier assumptions that DEET was unlikely to enter aquatic ecosystems. DEET's registration category does not require an ecological risk assessment, thus information on the ecological toxicity of DEET is sparse. This paper reviews the presence of DEET in aqueous samples from around the world (e.g. drinking water, streams, open seawater, groundwater and treated effluent) with reported DEET concentrations ranging from 40–3000 ng L− 1. In addition, new DEET data collected from 36 sites in coastal waterways from eastern Australia (detections ranging from 8 to 1500 ng L− 1) are examined. A summary of new and existing toxicity data are discussed with an emphasis on preparing a preliminary risk assessment for DEET in the aquatic environment. Collated information on DEET in the aquatic environment suggests risk to aquatic biota at observed environmental concentrations is minimal. However, the information available was not sufficient to conduct a full risk assessment due to data deficiencies in source characterisation, transport mechanisms, fate, and ecotoxicity studies. These risks warrant further investigation due to the high frequency that this organic contaminant is detected in aquatic environments around the world.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2007.05.036","usgsCitation":"Costanzo, S., Watkinson, A., Murby, E., Kolpin, D.W., and Sandstrom, M.W., 2007, Is there a risk associated with the insect repellent DEET (N,N-diethyl-m-toluamide) commonly found in aquatic environments?: Science of the Total Environment, v. 384, no. 1-3, p. 214-220, https://doi.org/10.1016/j.scitotenv.2007.05.036.","productDescription":"7 p.","startPage":"214","endPage":"220","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10d865e4b034bf6a7fbca6","contributors":{"authors":[{"text":"Costanzo, S.D.","contributorId":8608,"corporation":false,"usgs":true,"family":"Costanzo","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":748848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watkinson, A.J.","contributorId":20887,"corporation":false,"usgs":true,"family":"Watkinson","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":748849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murby, E.J.","contributorId":39112,"corporation":false,"usgs":true,"family":"Murby","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":748850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":748852,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226700,"text":"70226700 - 2007 - Paleoecology and ecosystem restoration: Case studies from Chesapeake Bay and the Florida Everglades","interactions":[],"lastModifiedDate":"2021-12-06T18:43:50.200231","indexId":"70226700","displayToPublicDate":"2007-10-01T12:24:08","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Paleoecology and ecosystem restoration: Case studies from Chesapeake Bay and the Florida Everglades","docAbstract":"Climate extremes that cause droughts, floods, or large temperature fluctuations can complicate ecosystem restoration efforts focused on local and regional human disturbance. Restoration targets are often based primarily on monitoring data and modeling simulations, which provide information on species' short-term response to disturbance and environmental variables. Consequently, the targets may be unsustainable under the spectrum of natural variability inherent in the system or under future climate change. Increasingly, ecologists and restoration planners recognize the value of the long temporal perspective provided by paleoecological data. Advances in paleoclimatology, including better climate proxy methods and temporal resolution, contribute to our understanding of ecosystem response to anthropogenic and climatic forcing at all time scales. We highlight paleoecological research in the Chesapeake Bay and the Florida Everglades and summarize the resulting contributions to restoration planning. Integration of paleoecological, historic, monitoring, and modeling efforts will lead to the development of sustainable, adaptive management strategies for ecosystem restoration.
Diatoms from estuarine and marsh sediments can be used to evaluate a number of geological processes. Information on salinity, elevation, and substrate derived from modern assemblages have been used to determine local and regional Holocene sea level history, identify seismic and tsunami events, and aid in the recognition of regional variations in precipitation. In order to apply diatoms to these questions, it is necessary to have a detailed knowledge of the ecology of marine, brackish, and freshwater taxa, as well as an understanding of the taphonomic processes that determine the final diatom assemblage. The potential for studies of pre-Holocene estuarine depositional systems is largely limited by the availability of study sites.
","largerWorkTitle":"Pond scum to carbon sink: Geological and environmental applications of the diatoms","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S1089332600001479","usgsCitation":"Starratt, S.W., 2007, Diatoms in estuaries and tidal marshes: The Paleontological Society Papers, v. 13, p. 85-109, https://doi.org/10.1017/S1089332600001479.","productDescription":"25 p.","startPage":"85","endPage":"109","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":396251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2017-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":835628,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228814,"text":"70228814 - 2007 - Methods and applications of Cenozoic marine diatom biostratigraphy","interactions":[],"lastModifiedDate":"2022-02-22T16:30:52.100386","indexId":"70228814","displayToPublicDate":"2007-10-01T10:21:44","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10124,"text":"The Paleontological Society Papers","active":true,"publicationSubtype":{"id":10}},"title":"Methods and applications of Cenozoic marine diatom biostratigraphy","docAbstract":"Diatoms provide the chief Cenozoic biostratigraphic tool in marine sediments beneath high primary productivity zones, especially where calcareous fossils are rare or poorly preserved. Diatom biostratigraphy, which is based on originations and extinctions of unique taxa, is especially useful in circum-Antarctic, equatorial Pacific, and high latitude North Pacific marine successions, which are available largely from ocean drilling. Oligocene to Holocene diatom biostratigraphic zonations are correlated with the geopaleomagnetic timescale, resulting in age control of million-year to as little as hundred-thousand year resolution. Paleocene and Eocene zonations are less well developed and have lower chronostratigraphic control, but are more widely applicable, because planktonic diatom assemblages of the globally warm early Paleogene were less provincial. We review the principals and methods of biostratigraphy and the application of diatoms to age control in stratigraphic successions worldwide. Distinct biostratigraphic zonations defined for the low latitudes, the North Pacific and the Antarctic, are reviewed, and Atlantic records and Antarctic coastal records are discussed. New biostratigraphic tools are introduced, including multidimensional graphic correlation of published diatom ranges.
","largerWorkTitle":"Pond scum to carbon sink: Geological and environmental applications of the diatoms","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S1089332600001467","usgsCitation":"Scherer, R., Gladenkov, A.Y., and Barron, J.A., 2007, Methods and applications of Cenozoic marine diatom biostratigraphy: The Paleontological Society Papers, v. 13, p. 61-83, https://doi.org/10.1017/S1089332600001467.","productDescription":"23 p.","startPage":"61","endPage":"83","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":396250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2017-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Scherer, Reed","contributorId":62907,"corporation":false,"usgs":true,"family":"Scherer","given":"Reed","email":"","affiliations":[],"preferred":false,"id":835624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gladenkov, Andrey Yu.","contributorId":279871,"corporation":false,"usgs":false,"family":"Gladenkov","given":"Andrey","email":"","middleInitial":"Yu.","affiliations":[],"preferred":false,"id":835625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":835626,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200422,"text":"70200422 - 2007 - Geologic controls on movement of produced-water releases at US geological survey research Site A, Skiatook lake, Osage county, Oklahoma","interactions":[],"lastModifiedDate":"2018-10-17T09:00:27","indexId":"70200422","displayToPublicDate":"2007-10-01T08:59:41","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Geologic controls on movement of produced-water releases at US geological survey research Site A, Skiatook lake, Osage county, Oklahoma","docAbstract":"Highly saline produced water was released from multiple sources during oil field operations from 1913 to 1973 at the USGS research Site A on Skiatook Lake in northeastern Oklahoma. Two pits, designed to hold produced water and oil, were major sources for release of these fluids at the site. Produced water spills from these and other features moved downslope following topography and downdip by percolating through permeable eolian sand and colluvium, underlying permeable sandstone, and, to a lesser extent, through shales and mudstones. Saline water penetrated progressively deeper units as it moved through the gently dipping bedrock to the north and NW. A large eroded salt scar north of the pits coincides with underlying fine-grained rocks that have retained substantial concentrations of salt, causing slow revegetation. Where not eroded, thick eolian sand or permeable sandstone bedrock is near the surface, and vegetation has been little affected or has reestablished itself after the introduced salt was flushed by precipitation. The extent of salt-contaminated bedrock extends well beyond existing surface salt scars. These results indicate that one of the legacies of surface salt spills can be a volume of subsurface salinization larger than the visible surface disturbance.
Research and development projects at EROS apply unique resources to support the USGS mission of developing understanding, monitoring, and modeling of climate variability and change and their human, physical, and biological impacts. Remote sensing resources, both new and archived, form the core of our ability to determine changes in the state or condition of the Earth’s surface and its dynamic landscape and ecosystem processes. This rich resource provides powerful biophysical information for local to global areas. Archival data form the basis for assessing human and climate impacts on the land surface, trends of land use, and an understanding of climate and management impacts. Biophysical information from satellite data is assimilated into quantitative models that allow all disciplines of the USGS to understand impacts on ecosystem processes. Major processes and problems we address include: carbon fluxes, hydrological processes, albedo changes and regional climates, mangroves and wetland protection of coastal environments, natural and manmade hazards (e.g., fire and drought), ecosystem change and succession, land use and land cover change, and more. The integration of remote sensing, modeling, and multidisciplinary approaches fosters international scientific leadership across all disciplines for the USGS.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20073091","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":482569,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2007/3091/coverthb.jpg"},{"id":482570,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2007/3091/fs20073091.pdf","text":"Report","size":"3.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2007-3091 PDF"}],"contact":"Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198-0001
The knowledge of net primary production (NPP) dynamics at regional scale will help to understand terrestrial carbon cycling, especially with respect to land use and global climate change. Guangdong province has high plant growth potential because of plenty of light, heat, and water resources in this region. Forest coverage increased significantly from less than 30% in the early l980s to approximately 60% in 2000 owing to the launching of the \"Greening Guangdong in 10 years\", a provincial afforestation and reforestation project started in 1985. Meanwhile, economy growth has been fast in Guangdong province during the past 20 years. Long-term spatial and temporal NPP dynamics in Guangdong province are not well-known. To fill this knowledge gap, the spatial and temporal patterns of annual NPP from 1981 to 2000, derived from the global production efficiency model (GLO-PEM), were analyzed in this study. NPP patterns were compared at three spatial scales (i. e. , province, region, and city) and among three major forest types (i. e. , broadleaf, coniferous, and mixed). The results showed that for the entire province annual NPP varied between (1360 ±431) and (1626 ± 471) g/(m^2•a), with a mean value of (1480 ±407)g/(m^2•a). NPP increased to the maximum value (1534 ±121 g/(m^2•a)) in late 1980s (1986~1990) while decreased in early 1990s (1991~1995), and then recovered slightly in late 1990s (1996~2000). NPP differed distinctly across geographic regions, with the highest in the southwest coastal region, followed by the southeast coastal region, and the lowest in the inner land region. The differences were probably caused by vegetation composition, heat and water resources, and the distribution of the cropland. NPP dynamics of 21 cities were divided into three types. NPP kept stable in 12 cities including Shaoguan, Qingyuan, and Meizhou etc. NPP increased in Chaozhou, Shanwei, Zhanjiang and Jieyang, and decreased significantly (p<0.05) in 5 cities (i. e. , Foshan, Zhongshan, Shenzhen, Dongguan and Zhuhai). The decrease of NPP in these 5 cites can partly be explained by land cover and land use changes (e. g. , urbanization) driven by the economy development in the Pearl River Delta. NPP varied among the three major forest types. The mixed forest had the highest NPP, followed by the broadleaf forest and the conifer forest. Long-term mean NPP were (1364 ± 390) g/(m^2•a), (1391 ± 372) g/(m^2•a), and (1704 ± 450) g/(m^2•a) in the conifer, the broadleaf, and the mixed forest, respectively.
","language":"English","publisher":"China Association for Science and Technology","usgsCitation":"Liu, H., Tang, X., Zhou, G., and Liu, S., 2007, Spatial and temporal patterns of net primary productivity in the duration of 1981-2000 in Guangdong, China: Acta Ecologica Sinica, v. 27, no. 10, p. 4065-4074.","productDescription":"10 p.","startPage":"4065","endPage":"4074","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034c3e4b0f42e3d040e48","contributors":{"authors":[{"text":"Liu, Hai-Gui","contributorId":147110,"corporation":false,"usgs":false,"family":"Liu","given":"Hai-Gui","email":"","affiliations":[],"preferred":false,"id":570378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tang, Xu-Li","contributorId":83820,"corporation":false,"usgs":true,"family":"Tang","given":"Xu-Li","email":"","affiliations":[],"preferred":false,"id":570379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhou, Guo-Yi","contributorId":51181,"corporation":false,"usgs":true,"family":"Zhou","given":"Guo-Yi","email":"","affiliations":[],"preferred":false,"id":570380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":570381,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160497,"text":"70160497 - 2007 - Old world climbing fern (Lygodium microphyllum) spore germination in natural substrates","interactions":[],"lastModifiedDate":"2015-12-21T09:41:18","indexId":"70160497","displayToPublicDate":"2007-10-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1672,"text":"Florida Scientist","active":true,"publicationSubtype":{"id":10}},"title":"Old world climbing fern (Lygodium microphyllum) spore germination in natural substrates","docAbstract":"No abstract available
","language":"English","publisher":"Florida Academy of Sciences","usgsCitation":"Call, E.M., Brandt, L., and DeAngelis, D., 2007, Old world climbing fern (Lygodium microphyllum) spore germination in natural substrates: Florida Scientist, p. 55-61.","productDescription":"7 p.","startPage":"55","endPage":"61","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":312574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312573,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.floridaacademyofsciences.org/pdf/FLSC-70-01.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d0e4b0da412f4fb57d","contributors":{"authors":[{"text":"Call, Erynn M.","contributorId":79323,"corporation":false,"usgs":true,"family":"Call","given":"Erynn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":583006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Laura A.","contributorId":23089,"corporation":false,"usgs":true,"family":"Brandt","given":"Laura A.","affiliations":[],"preferred":false,"id":583007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":2860,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":583008,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}