{"pageNumber":"901","pageRowStart":"22500","pageSize":"25","recordCount":46734,"records":[{"id":70028637,"text":"70028637 - 2006 - Phylogeny and evolutionary history of old world suboscine birds (aves: Eurylaimides)","interactions":[],"lastModifiedDate":"2024-09-18T15:05:31.067845","indexId":"70028637","displayToPublicDate":"2006-12-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":739,"text":"American Museum Novitates","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeny and evolutionary history of old world suboscine birds (aves: Eurylaimides)","docAbstract":"<p><span>Molecular and morphological data were used to derive a phylogenetic hypothesis for the Eurylaimides, an Old World bird group now known to be distributed pantropically, and to investigate the evolution and biogeography of the group. Phylogenetic results indicated that the Eurylaimides consist of two monophyletic groups, the pittas (Pittidae) and the broadbills (Eurylaimidae sensu lato), and that the broadbills consist of two highly divergent clades, one containing the sister genera&nbsp;</span><span class=\"genus-species\">Smithornis</span><span>&nbsp;and&nbsp;</span><span class=\"genus-species\">Calyptomena</span><span>, the other containing&nbsp;</span><span class=\"genus-species\">Pseudocalyptomena graueri</span><span>,&nbsp;</span><span class=\"genus-species\">Sapayoa aenigma</span><span>, the asity genera&nbsp;</span><span class=\"genus-species\">Philepitta</span><span>&nbsp;and&nbsp;</span><span class=\"genus-species\">Neodrepanis</span><span>, and five Asian genera. Our results indicate that over a ~10 million year time span in the early Tertiary, the Eurylaimides came to inhabit widely disjunct tropical regions and evolved disparate morphology, diet, and breeding behavior. Biogeographically, although a southern origin for the lineage is likely, time estimates for major lineage splitting do not correspond to Gondwanan vicariance events, and the biogeographic history of the crown clade is better explained by Laurasian climatic and geological processes. In particular, the timing and phylogenetic pattern suggest a likely Laurasian origin for the sole New World representative of the group,&nbsp;</span><span class=\"genus-species\">Sapayoa aenigma</span><span>.</span></p>","language":"English","publisher":"BioOne","doi":"10.1206/0003-0082(2006)3544[1:PAEHOO]2.0.CO;2","issn":"00030082","usgsCitation":"Moyle, R., Chesser, R., Prum, R.O., Schikler, P., and Cracraft, J., 2006, Phylogeny and evolutionary history of old world suboscine birds (aves: Eurylaimides): American Museum Novitates, no. 3544, p. 1-22, https://doi.org/10.1206/0003-0082(2006)3544[1:PAEHOO]2.0.CO;2.","productDescription":"22 p.","startPage":"1","endPage":"22","costCenters":[],"links":[{"id":477300,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/bibliography/169140","text":"External Repository"},{"id":434900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"3544","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7a53e4b0c8380cd78e63","contributors":{"authors":[{"text":"Moyle, R.G.","contributorId":94016,"corporation":false,"usgs":true,"family":"Moyle","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":418962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chesser, R.T. 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":34616,"corporation":false,"usgs":true,"family":"Chesser","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":418960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prum, R. O.","contributorId":10132,"corporation":false,"usgs":true,"family":"Prum","given":"R.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":418959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schikler, P.","contributorId":108230,"corporation":false,"usgs":true,"family":"Schikler","given":"P.","email":"","affiliations":[],"preferred":false,"id":418963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cracraft, J.","contributorId":56768,"corporation":false,"usgs":true,"family":"Cracraft","given":"J.","email":"","affiliations":[],"preferred":false,"id":418961,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79437,"text":"sir20065200 - 2006 - Flow paths in the Edwards aquifer, northern Medina and northeastern Uvalde Counties, Texas, based on hydrologic identification and geochemical characterization and simulation","interactions":[],"lastModifiedDate":"2024-06-17T18:15:29.746224","indexId":"sir20065200","displayToPublicDate":"2006-12-06T00:00:00","publicationYear":"2006","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":"2006-5200","title":"Flow paths in the Edwards aquifer, northern Medina and northeastern Uvalde Counties, Texas, based on hydrologic identification and geochemical characterization and simulation","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the San Antonio Water System, conducted a 4-year study during 2001– 04 to identify major ground-water flow paths in the Edwards aquifer in northern Medina and northeastern Uvalde Counties, Texas. The study involved use of geologic structure, surfacewater and ground-water data, and geochemistry to identify ground-water flow paths. Relay ramps and associated faulting in northern Medina County appear to channel ground-water flow along four distinct flow paths that move water toward the southwest. </p><p>The northwestern Medina flow path is bounded on the north by the Woodard Cave fault and on the south by the Parkers Creek fault. Water moves downdip toward the southwest until the flow encounters a cross fault along Seco Creek. This barrier to flow might force part or most of the flow to the south. Departure hydrographs for two wells and discharge departure for a streamflow-gaging station provide evidence for flow in the northwestern Medina flow path. The north-central Medina flow path (northern part) is bounded by the Parkers Creek fault on the north and the Medina Lake fault on the south. </p><p>The adjacent north-central Medina flow path (southern part) is bounded on the north by the Medina Lake fault and on the south by the Diversion Lake fault. The north-central Medina flow path is separated into a northern and southern part because of water-level differences. Ground water in both parts of the northcentral Medina flow path moves downgradient (and down relay ramp) from eastern Medina County toward the southwest. The north-central Medina flow path is hypothesized to turn south in the vicinity of Seco Creek as it begins to be influenced by structural features. Departure hydrographs for four wells and Medina Lake and discharge departure for a streamflow-gaging station provide evidence for flow in the north-central Medina flow path. </p><p>The south-central Medina flow path is bounded on the north by the Seco Creek and Diversion Lake faults and on the south by the Haby Crossing fault. Because of bounding faults&nbsp;oriented northeast-southwest and adjacent flow paths directed south by other geologic structures, the south-central Medina flow path follows the configuration of the adjacent flow paths—oriented initially southwest and then south. Immediately after turning south, the south-central Medina flow path turns sharply east. Departure hydrographs for four wells and discharge departure for a streamflow-gaging station provide evidence for flow in the south-central Medina flow path. Statistical correlations between water-level departures for 11 continuously monitored wells provide additional evidence for the hypothesized flow paths. </p><p>Of the 55 combinations of departure dataset pairs, the stronger correlations (those greater than .6) are all among wells in the same flow path, with one exception. Simulations of compositional differences in water chemistry along a hypothesized flow path in the Edwards aquifer and between ground-water and surface-water systems near Medina Lake were developed using the geochemical model PHREEQC. Ground-water chemistry for samples from five wells in the Edwards aquifer in the northwestern Medina flow path were used to evaluate the evolution of ground-water chemistry in the northwestern Medina flow path. Seven simulations were done for samples from pairs of these wells collected during 2001–03; three of the seven yielded plausible models. </p><p>Ground-water samples from 13 wells were used to evaluate the evolution of ground-water chemistry in the north-central Medina flow path (northern and southern parts). Five of the wells in the most upgradient part of the flow path were completed in the Trinity aquifer; the remaining eight were completed in the Edwards aquifer. Nineteen simulations were done for samples from well pairs collected during 1995–2003; eight of the 19 yielded plausible models. Ground-water samples from seven wells were used to evaluate the evolution of ground-water chemistry in the south-central Medina flow path. One well was the Trinity aquifer end-member well upgradient from all flow paths, and another was a Trinity aquifer well in the most upgradient part of the flow path; all other wells were completed in the Edwards aquifer. Nine simulations were done for samples from well pairs&nbsp;collected during 1996–2003; seven of the nine yielded plausible models. The plausible models demonstrate that the four hypothesized flow paths can be partially supported geochemically.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065200","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Clark, A.K., and Journey, C.A., 2006, Flow paths in the Edwards aquifer, northern Medina and northeastern Uvalde Counties, Texas, based on hydrologic identification and geochemical characterization and simulation: U.S. Geological Survey Scientific Investigations Report 2006-5200, vi, 48 p., https://doi.org/10.3133/sir20065200.","productDescription":"vi, 48 p.","numberOfPages":"54","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":430299,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78676.htm","linkFileType":{"id":5,"text":"html"}},{"id":8953,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5200/","linkFileType":{"id":5,"text":"html"}},{"id":191319,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065200.PNG"}],"country":"United States","state":"Texas","county":"Medina County, Uvalde County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.6,\n              29.3\n            ],\n            [\n              -99.6,\n              29.7\n            ],\n            [\n              -98.9,\n              29.7\n            ],\n            [\n              -98.9,\n              29.3\n            ],\n            [\n              -99.6,\n              29.3\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df5c0","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","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":289909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79438,"text":"ds226 - 2006 - Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2004","interactions":[],"lastModifiedDate":"2016-07-26T16:32:16","indexId":"ds226","displayToPublicDate":"2006-12-06T00:00:00","publicationYear":"2006","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":"226","title":"Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2004","language":"ENGLISH","doi":"10.3133/ds226","usgsCitation":"Buchanan, P.A., and Lionberger, M., 2006, Summary of Suspended-Sediment Concentration Data, San Francisco Bay, California, Water Year 2004: U.S. Geological Survey Data Series 226, vi, 49 p., https://doi.org/10.3133/ds226.","productDescription":"vi, 49 p.","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2003-10-01","temporalEnd":"2004-09-30","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":191320,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8955,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/226/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db69949f","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lionberger, Megan A.","contributorId":29904,"corporation":false,"usgs":true,"family":"Lionberger","given":"Megan A.","affiliations":[],"preferred":false,"id":289911,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79432,"text":"ds228 - 2006 - Mining claim activity on federal land in the contiguous United States, 1976 through 2004","interactions":[],"lastModifiedDate":"2015-12-03T15:32:11","indexId":"ds228","displayToPublicDate":"2006-12-04T00:00:00","publicationYear":"2006","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":"228","title":"Mining claim activity on federal land in the contiguous United States, 1976 through 2004","docAbstract":"<p>Statistical compilations of mining claim activity on Federal Land derived from the Bureau of Land Management's LR2000 database have been published by the U.S Geological Survey. This report updates Causey (2005) by adding statistics for an additional year of mining claim records, incorporating any corrections in older data done by BLM, adding a Public Land Survey spatial database for South Dakota, and improving correlation of the statistics to spatial databases in Washington and Nevada.</p>\n<p>The statistics compiled from the LR2000 database are counts of number of active mining claims in a section each year from 1976 to 2004 for all states within the contiguous United States. Claims are broken down by lode and placer types and a dataset is provided summarizing all claims including millsite and tunnel-site claims. One table presents data by case type, case status, and number of claims in a section. This report includes a spatial database for each state in which mining claims were recorded. A field is present in both datasets that allows the statistical data to be joined to the spatial databases so that spatial displays and analysis can be done using appropriate software.</p>\n<p>The data show how mining claim activity has changed in intensity, space, and time. Variations can be examined on a state, as well as a national level. The data are tied to a section of land, approximately 640 acres, which allows it to be used at regional, as well as local scale. It is restricted in that it only encompasses Federal land.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds228","usgsCitation":"Causey, J.D., and Frank, D.G., 2006, Mining claim activity on federal land in the contiguous United States, 1976 through 2004: U.S. Geological Survey Data Series 228, 25 p.; data files, https://doi.org/10.3133/ds228.","productDescription":"25 p.; data files","numberOfPages":"25","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1976-01-01","temporalEnd":"2004-12-31","costCenters":[],"links":[{"id":8942,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/228/","linkFileType":{"id":5,"text":"html"}},{"id":194822,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Arizona, Arkansas, California, Colorado, Florida, Idaho, Montana, Nebraska, Nevada, New Mexico, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.732421875,\n              49.03786794532644\n            ],\n            [\n              -103.974609375,\n              45.706179285330855\n            ],\n            [\n              -103.447265625,\n              44.402391829093915\n            ],\n            [\n              -103.18359375,\n              43.004647127794435\n            ],\n            [\n              -104.150390625,\n              42.42345651793833\n            ],\n            [\n              -104.0625,\n              40.78054143186031\n            ],\n            [\n              -103.798828125,\n              37.16031654673677\n            ],\n            [\n              -104.0625,\n              32.02670629333614\n            ],\n            [\n              -106.69921875,\n              31.87755764334002\n            ],\n            [\n              -108.10546875,\n              31.728167146023935\n            ],\n            [\n              -108.28125,\n              31.27855085894653\n            ],\n            [\n              -111.62109375,\n              31.27855085894653\n            ],\n            [\n              -114.9609375,\n              32.32427558887655\n            ],\n            [\n              -115.48828125000001,\n              32.84267363195431\n            ],\n            [\n              -116.98242187499999,\n              32.694865977875075\n            ],\n            [\n              -117.7734375,\n              32.694865977875075\n            ],\n            [\n              -119.970703125,\n              32.99023555965106\n            ],\n            [\n              -122.958984375,\n              36.38591277287654\n            ],\n            [\n              -124.541015625,\n              39.027718840211605\n            ],\n            [\n              -125.24414062499999,\n              42.42345651793833\n            ],\n            [\n              -124.8046875,\n              46.73986059969267\n            ],\n            [\n              -125.15625000000001,\n              48.40003249610685\n            ],\n            [\n              -123.04687499999999,\n              48.28319289548349\n            ],\n            [\n              -123.22265625000001,\n              49.15296965617042\n            ],\n            [\n              -105.732421875,\n              49.03786794532644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699cf6","contributors":{"authors":[{"text":"Causey, J. Douglas","contributorId":41398,"corporation":false,"usgs":true,"family":"Causey","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":289896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frank, David G. dfrank@usgs.gov","contributorId":3274,"corporation":false,"usgs":true,"family":"Frank","given":"David","email":"dfrank@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289895,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79427,"text":"ofr20061345 - 2006 - Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"ofr20061345","displayToPublicDate":"2006-12-03T00:00:00","publicationYear":"2006","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":"2006-1345","title":"Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan","docAbstract":"In 2005, the U.S. Agency for International Development and the U.S. Trade and Development Agency contracted with the U.S. Geological Survey to perform assessments of the natural resources within Afghanistan. The assessments concentrate on the resources that are related to the economic development of that country. Therefore, assessments were initiated in oil and gas, coal, mineral resources, water resources, and earthquake hazards. All of these assessments require geologic, structural, and topographic information throughout the country at a finer scale and better accuracy than that provided by the existing maps, which were published in the 1970s by the Russians and Germans. The very rugged terrain in Afghanistan, the large scale of these assessments, and the terrorist threat in Afghanistan indicated that the best approach to provide the preliminary assessments was to use remotely sensed, satellite image data, although this may also apply to subsequent phases of the assessments. Therefore, the first step in the assessment process was to produce satellite image mosaics of Afghanistan that would be useful for these assessments. This report discusses the production and characteristics of the fundamental satellite image databases produced for these assessments, which are calibrated image mosaics of all six Landsat nonthermal (reflected) bands. ","language":"ENGLISH","doi":"10.3133/ofr20061345","usgsCitation":"Davis, P.A., 2006, Calibrated Landsat ETM+ nonthermal-band image mosaics of Afghanistan (Version 1.0): U.S. Geological Survey Open-File Report 2006-1345, 18 p., https://doi.org/10.3133/ofr20061345.","productDescription":"18 p.","numberOfPages":"18","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":192385,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8933,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1345/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29 ], [ 60,39 ], [ 75,39 ], [ 75,29 ], [ 60,29 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e712a","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":289876,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79431,"text":"wdrNJ053 - 2006 - Water Resources Data, New Jersey, Water Year 2005Volume 3 - Water-Quality Data","interactions":[],"lastModifiedDate":"2012-03-08T17:16:24","indexId":"wdrNJ053","displayToPublicDate":"2006-12-03T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"NJ-05-3","title":"Water Resources Data, New Jersey, Water Year 2005Volume 3 - Water-Quality Data","docAbstract":"Water-resources data for the 2005 water year for New Jersey are presented in three volumes, and consists of records of stage, discharge, and water-quality of streams; stage and contents of lakes and reservoirs; and water levels and water-quality of ground water. Volume 3 contains a summary of surface- and ground-water hydrologic conditions for the 2005 water year, a listing of current water-resources projects in New Jersey, a bibliography of water-related reports, articles, and fact sheets for New Jersey completed by the Geological Survey in recent years, water-quality records of chemical analyses from 118 continuing-record surface-water stations, 30 ground-water sites, records of daily statistics of temperature and other physical measurements from 9 continuous-recording stations, and 5 special studies that included 89 stream, 11 lake, and 29 ground-water sites. Locations of water-quality stations are shown in figures 23-25. Locations of special-study sites are shown in figures 41-46. These data represent\r\nthat part of the National Water Data System operated by the U.S. Geological Survey and cooperating federal, state, and local agencies in New Jersey.","language":"ENGLISH","doi":"10.3133/wdrNJ053","usgsCitation":"DeLuca, M.J., Heckathorn, H.A., Lewis, J.M., Gray, B., and Feinson, L.S., 2006, Water Resources Data, New Jersey, Water Year 2005Volume 3 - Water-Quality Data: U.S. Geological Survey Water Data Report NJ-05-3, 568 p., https://doi.org/10.3133/wdrNJ053.","productDescription":"568 p.","numberOfPages":"568","temporalStart":"2004-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":194787,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8939,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wdr/2005/wdr-nj-05-3/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db6996aa","contributors":{"authors":[{"text":"DeLuca, Michael J.","contributorId":82008,"corporation":false,"usgs":true,"family":"DeLuca","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":289893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heckathorn, Heather A. haheck@usgs.gov","contributorId":1728,"corporation":false,"usgs":true,"family":"Heckathorn","given":"Heather","email":"haheck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":289890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Bonnie J.","contributorId":89624,"corporation":false,"usgs":true,"family":"Gray","given":"Bonnie J.","affiliations":[],"preferred":false,"id":289894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feinson, Lawrence S. lsfeinso@usgs.gov","contributorId":4232,"corporation":false,"usgs":true,"family":"Feinson","given":"Lawrence","email":"lsfeinso@usgs.gov","middleInitial":"S.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289892,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":79428,"text":"ds225 - 2006 - Database for the east half of \"Preliminary Geologic Map of the Blythe 30' by 60' quadrangle, California and Arizona\"","interactions":[],"lastModifiedDate":"2022-08-17T18:24:31.762273","indexId":"ds225","displayToPublicDate":"2006-12-03T00:00:00","publicationYear":"2006","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":"225","title":"Database for the east half of \"Preliminary Geologic Map of the Blythe 30' by 60' quadrangle, California and Arizona\"","docAbstract":"This digital map database was prepared from the published Preliminary Geologic Map of the Blythe 30' by 60' Quadrangle, California and Arizona (U.S. Geological Survey Open-File Report 90-497).  This database represents the east half of the original published map.  The database contains exactly the same scientific content as the original map; no data have been added to, subtracted from, or modified from the original map.  Like the original paper map, this database represents the general distribution of bedrock and surficial deposits in the mapped area.  It provides information on the geologic structure and stratigraphy of the area covered.  The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey.  The scale of the original published map limits the spatial resolution (scale) of the database to 1:100,000 or smaller.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds225","usgsCitation":"Stone, P., 2006, Database for the east half of \"Preliminary Geologic Map of the Blythe 30' by 60' quadrangle, California and Arizona\" (version 1.0): U.S. Geological Survey Data Series 225, HTML Document, https://doi.org/10.3133/ds225.","productDescription":"HTML Document","additionalOnlineFiles":"Y","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":192203,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":405264,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78681.htm","linkFileType":{"id":5,"text":"html"}},{"id":8934,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/225/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona, California","otherGeospatial":"Blythe 30' by 60' quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,33.5 ], [ -114.5,34 ], [ -114,34 ], [ -114,33.5 ], [ -114.5,33.5 ] ] ] } } ] }","edition":"version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db672ccd","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":289877,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79426,"text":"sir20065296 - 2006 - Simulation of constituent transport in the Red River of the North basin, North Dakota and Minnesota, during unsteady-flow conditions, 1977 and 2003-04","interactions":[],"lastModifiedDate":"2017-10-14T14:24:17","indexId":"sir20065296","displayToPublicDate":"2006-12-03T00:00:00","publicationYear":"2006","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":"2006-5296","title":"Simulation of constituent transport in the Red River of the North basin, North Dakota and Minnesota, during unsteady-flow conditions, 1977 and 2003-04","docAbstract":"The Bureau of Reclamation identified eight water-supply alternatives for the Red River Valley Water Supply Project. Of those alternatives, six were considered for this study. Those six alternatives include a no-action alternative, two in-basin alternatives, and three interbasin alternatives. To address concerns of stakeholders and to provide information for an environmental impact statement, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, developed and applied a water-quality model to simulate the transport of total dissolved solids, sulfate, chloride, sodium, and total phosphorus during unsteady-flow conditions and to simulate the effects of the water-supply alternatives on water quality in the Red River and the Sheyenne River. The physical domain of the model, hereinafter referred to as the Red River model, includes the Red River from Wahpeton, North Dakota, to Emerson, Manitoba, and the Sheyenne River from below Baldhill Dam, North Dakota, to the confluence with the Red River.\r\n\r\nBoundary conditions were specified for May 15 through October 31, 2003, and January 15 through June 30, 2004. Measured streamflow data were available for August 1 through October 31, 2003, and April 1 through June 30, 2004, but water-quality data were available only for September 15 through 16, 2003, and May 10 through 13, 2004. The water-quality boundary conditions were assumed to be time invariant for the entire calibration period and to be equal to the measured value.\r\n\r\nThe average difference between the measured and simulated streamflows was less than 4 percent for both calibration periods, and most differences were less than 2 percent. The average differences are considered to be acceptable because the differences are less than 5 percent, or the same as the error that would be expected in a typical streamflow measurement. Simulated total dissolved solids, sulfate, chloride, and sodium concentrations generally were less than measured concentrations for both calibration periods. The average absolute differences generally were less than 25 percent. Total phosphorus was simulated as a nonconservative constituent by assuming that concentrations change according to a first-order decay rate. The average difference between the measured and simulated total phosphorus concentrations was 6.2 percent for the 2003 calibration period and -24 percent for the 2004 calibration period. The Red River model demonstrates sensitivity to changes in boundary conditions so a reasonable assumption is that the model can be used to compare relative effects of the various water-supply alternatives.\r\n\r\nThe calibrated Red River model was used to simulate the effects of the six water-supply alternatives by using measured streamflows for September 1, 1976, through August 31, 1977, when streamflows throughout the Red River Basin were relatively low. Streamflows for the Red River at Fargo, North Dakota, were less than 17.9 cubic feet per second on 159 days of that 12-month period, and monthly average streamflows for the Red River at Grand Forks, North Dakota, and the Red River at Emerson, Manitoba, were less than 30 percent of the respective long-term average monthly streamflows for 11 of the 12 months during September 1976 through August 1977.\r\n\r\nWater-quality boundary conditions were generated using a stochastic approach in which probability distributions derived from all available historical data on instream concentrations were used to produce daily concentrations at model boundaries. Return flow concentrations were estimated from source concentrations and current (2006) wastewater-treatment technology. Because no historical information on ungaged local inflow constituent concentrations is available to estimate those boundary conditions, time-invariant concentrations for the low-flow 2003 calibration period were used as the ungaged local inflow boundary conditions. The effects of the water-supply alternatives on water quality in the Red River and ","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065296","usgsCitation":"Nustad, R.A., and Bales, J.D., 2006, Simulation of constituent transport in the Red River of the North basin, North Dakota and Minnesota, during unsteady-flow conditions, 1977 and 2003-04: U.S. Geological Survey Scientific Investigations Report 2006-5296, vi, 58 p., https://doi.org/10.3133/sir20065296.","productDescription":"vi, 58 p.","numberOfPages":"64","onlineOnly":"Y","temporalStart":"1977-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":123131,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5296.jpg"},{"id":8932,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5296/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota, North Dakota","otherGeospatial":"Red River of the North basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b4e4b07f02db5ca58d","contributors":{"authors":[{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":289874,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70259134,"text":"70259134 - 2006 - Scaling-up of CO2 fluxes to assess carbon sequestration in rangelands of Central Asia","interactions":[],"lastModifiedDate":"2024-09-27T21:49:16.185668","indexId":"70259134","displayToPublicDate":"2006-12-01T16:31:07","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Scaling-up of CO<sub>2</sub> fluxes to assess carbon sequestration in rangelands of Central Asia","title":"Scaling-up of CO2 fluxes to assess carbon sequestration in rangelands of Central Asia","docAbstract":"<p><span>Flux towers provide temporal quantification of local carbon dynamics at specific sites. The number and distribution of flux towers, however, are generally inadequate to quantify carbon fluxes across a landscape or ecoregion. Thus, scaling up of flux tower measurements through use of algorithms developed from remote sensing and GIS data is needed for spatial extrapolation of carbon fluxes and to identify regional sinks and sources of carbon. Spatial and temporal quantification of carbon dynamics are useful in understanding the biophysical factors that cause regions to be sinks or sources of carbon. We analyzed data sets from the Northern Great Plains and the Kazakh Steppe and found similarities in latitude, precipitation, and carbon fluxes between the two regions. These similarities allowed us to pool carbon flux data, remotely sensed data, and GIS data from these two regions to map gross primary productivity (Pg), total ecosystem respiration (Re), and net ecosystem exchange (NEE) for Kazakh Steppe for 2001 using regression tree techniques. We estimated 10-day Pg and Re with mean absolute errors of 3.2 and 2.7 g CO</span><sub>2</sub><span>/m</span><sup>2</sup><span>/day, respectively. The NEE for grasslands in the Kazakh Steppe during the growing season (April through October 2001) was 0.79 t C/ha. Localized carbon sinks and sources were positively correlated with growing season precipitation and Pg. The regression tree technique provided an effective method for the regional mapping of carbon dynamics as seasonally quantified by flux towers in the Northern Great Plains of North America and the Kazakh Steppe of Central Asia.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Rangelands of central Asia: Proceedings of the conference on transformations, issues, and future challenges. RMRS-P-39","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"conferenceTitle":"Conference on Transformations, Issues, and Future Challenges","conferenceDate":"January 27, 2004","conferenceLocation":"Salt Lake City, UT","language":"English","publisher":"USDA Forest Service","usgsCitation":"Wylie, B.K., Gilmanov, T.G., Johnson, D.A., Saliendra, N.Z., Tieszen, L.L., Doyle, R.A., and Laca, E., 2006, Scaling-up of CO2 fluxes to assess carbon sequestration in rangelands of Central Asia, <i>in</i> Rangelands of central Asia: Proceedings of the conference on transformations, issues, and future challenges. RMRS-P-39, Salt Lake City, UT, January 27, 2004, p. 111-119.","productDescription":"9 p.","startPage":"111","endPage":"119","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462387,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://research.fs.usda.gov/treesearch/22875","linkFileType":{"id":5,"text":"html"}},{"id":462388,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmanov, Tagir G.","contributorId":82162,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":914290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas A.","contributorId":146626,"corporation":false,"usgs":false,"family":"Johnson","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":914291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saliendra, Nicanor Z.","contributorId":16623,"corporation":false,"usgs":true,"family":"Saliendra","given":"Nicanor","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":914292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":914293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doyle, Ruth Anne F.","contributorId":344598,"corporation":false,"usgs":false,"family":"Doyle","given":"Ruth","email":"","middleInitial":"Anne F.","affiliations":[],"preferred":false,"id":914294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Laca, Emilio","contributorId":78512,"corporation":false,"usgs":true,"family":"Laca","given":"Emilio","email":"","affiliations":[],"preferred":false,"id":914295,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259378,"text":"70259378 - 2006 - Executive summary","interactions":[],"lastModifiedDate":"2024-10-04T16:49:12.095325","indexId":"70259378","displayToPublicDate":"2006-12-01T11:40:41","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-175","chapter":"1","title":"Executive summary","docAbstract":"<p><span>Geospatial data describing wildland fuel and current as well as historical vegetation conditions are essential for planning, implementing, and monitoring projects supported by the National Fire Plan and the Healthy Forests Restoration Act. Scientifically credible, consistent, and standardized spatial data allow fire and land managers to accurately identify the amount and locations of lands or communities with hazardous fuel build-up or extreme departure from historical conditions. These data also facilitate the prioritization of ecosystem restoration and hazardous fuel reduction treatments to protect ecosystems, property, and people. Moreover, these data may be used during specific wildland fire incidents to maximize firefighter safety, pre-position resources, and evaluate fire behavior under a variety of weather conditions.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The LANDFIRE Prototype Project: Nationally consistent and locally relevant geospatial data for wildland fire management General Technical Report RMRS-GTR-175","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"USDA Forest Service","usgsCitation":"Rollins, M.G., Keane, R.E., and Zhu, Z., 2006, Executive summary: General Technical Report RMRS-GTR-175, 4 p.","productDescription":"4 p.","startPage":"1","endPage":"4","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462615,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://research.fs.usda.gov/treesearch/24641","linkFileType":{"id":5,"text":"html"}},{"id":462616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rollins, Matthew G.","contributorId":54695,"corporation":false,"usgs":true,"family":"Rollins","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":915092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keane, Robert E.","contributorId":73930,"corporation":false,"usgs":true,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":915093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":915094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70258918,"text":"70258918 - 2006 - Mapping existing vegetation composition and structure for the LANDFIRE Prototype Project","interactions":[],"lastModifiedDate":"2024-10-04T18:04:02.029348","indexId":"70258918","displayToPublicDate":"2006-12-01T11:02:53","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-175","chapter":"8","title":"Mapping existing vegetation composition and structure for the LANDFIRE Prototype Project","docAbstract":"<p><span>The Landscape Fire and Resource Management Planning Tools Prototype Project, or LANDFIRE Prototype Project, required the mapping of existing vegetation composition (cover type) and structural stages at a 30-m spatial resolution to provide baseline vegetation data for the development of wildland fuel maps and for comparison to simulated historical vegetation reference conditions to develop indices of ecological departure. For the LANDFIRE Prototype Project, research was conducted to develop a vegetation mapping methodology that could meet the following general requirements:</span><br><br><span>Cover types (species composition) must be characterized at a scale suitable for subsequent mapping of wildland fuel and fire regime condition class (FRCC). The vegetation map unit classification used for mapping cover types must be based on existing national systems, such as the United States National Vegetation Classification System (NVCS; Grossman and others 1998). The alliance (a community with multiple dominant species) or association (a community with a single dominant species) levels of this standard must provide a clearly defined list of map units that can be used as a basis for mapping vegetation classes that are both scaleable and representative of suitable units for modeling historical fire regimes (see Long and others, Ch. 6 for details on the LANDFIRE vegetation map units).</span><br><br><span>The mapping of existing vegetation structure must be based on the relative composition of forest, shrub, and herbaceous canopy cover and average forest, shrub, and herbaceous canopy height. Although structural stages are discrete map units describing unique combinations of canopy cover and canopy height by life form, mapping individual canopy cover and height variables as continuous variables is desired to provide additional information for mapping and modeling vegetation and flexibility for setting threshold values.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The LANDFIRE Prototype Project: Nationally consistent and locally relevant geospatial data for wildland fire management General Technical Report RMRS-GTR-175","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"USDA Forest Service","usgsCitation":"Zhu, Z., Vogelmann, J., Ohlen, D.O., Kost, J.R., Chen, X., and Tolk, B.L., 2006, Mapping existing vegetation composition and structure for the LANDFIRE Prototype Project: General Technical Report RMRS-GTR-175, 19 p.","productDescription":"19 p.","startPage":"197","endPage":"215","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462297,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://research.fs.usda.gov/treesearch/24700","linkFileType":{"id":5,"text":"html"}},{"id":462298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":914116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ohlen, Donald O. ohlen@usgs.gov","contributorId":3779,"corporation":false,"usgs":true,"family":"Ohlen","given":"Donald","email":"ohlen@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":914117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kost, Jay R. jkost@usgs.gov","contributorId":3931,"corporation":false,"usgs":true,"family":"Kost","given":"Jay","email":"jkost@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":914118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":914119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tolk, Brian L. 0000-0002-9060-0266 tolk@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":2992,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","email":"tolk@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":914120,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258499,"text":"70258499 - 2006 - Dissemination of LANDFIRE Prototype Project data","interactions":[],"lastModifiedDate":"2024-09-17T15:47:17.85074","indexId":"70258499","displayToPublicDate":"2006-12-01T10:44:57","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-175","chapter":"14","title":"Dissemination of LANDFIRE Prototype Project data","docAbstract":"<p><span>The transfer of LANDFIRE data to users is the most important aspect of the Landscape Fire and Resource Management Planning Tools Project (LANDFIRE Prototype Project). The creation of an accurate, consistent, nationwide data set provides the foundation for a successful project. The final step is to make the data readily available to the user community. User capabilities and needs vary widely. Many users require LANDFIRE data to solve day-to-day wildfire management problems such as planning fuel treatments or managing active wildfires. Others use LANDFIRE data to gather information over large geographic areas for strategic planning and analyses. The diversity of users and the variety of applications of LANDFIRE data present an interesting challenge: to develop a data dissemination system that is comprehensive, user-friendly, and flexible. The system must be functional across many levels of technology, ranging from powerful computing capability to support national-scale strategic planning to field-level tactical wildfire operations support. The system must be sustainable, dependable, affordable, and adaptable to various levels of and changes in technology.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The LANDFIRE Prototype Project: Nationally consistent and locally relevant geospatial data for wildland fire management General Technical Report RMRS-GTR-175","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"USDA Forest Service","usgsCitation":"Eidenshink, J.C., 2006, Dissemination of LANDFIRE Prototype Project data: General Technical Report RMRS-GTR-175, 4 p.","productDescription":"4 p.","startPage":"413","endPage":"416","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":434850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":434842,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://research.fs.usda.gov/treesearch/24709","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eidenshink, Jeffery C. eidenshink@usgs.gov","contributorId":1352,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeffery","email":"eidenshink@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":913327,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259124,"text":"70259124 - 2006 - Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery","interactions":[],"lastModifiedDate":"2024-09-27T15:36:41.530807","indexId":"70259124","displayToPublicDate":"2006-12-01T10:25:15","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery","docAbstract":"<p>Urban development has expanded rapidly in Las Vegas, Nevada, over the last fifty years. To assess urban land use change in the area, a sub-pixel change detection approach has been used to map urban extent and its temporal changes by determining sub-pixel level impervious surface areas from Landsat satellite remote sensing data in conjunction with digital orthophotography. Sub-pixel percentages of imperviousness are mapped from the 1980s to the 2000s for the Las Vegas metropolitan area using a regression tree model. The spatial-temporal distribution of vegetation in the urban area has also been quantified using the same approach. Analysis suggests that spatial and temporal changes in impervious surface are useful indicators of spatial extent, intensity, and potentially, the types of urban land cover and land use change. Results indicate that areas of 40–60% imperviousness have experienced the largest increase in Las Vegas, suggesting that areas of medium to high development density areas represent the major urban land uses in the region. Urban area fractional vegetation cover has the highest coverage in medium-density urban areas of Las Vegas. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Prospecting for geospatial information integration","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"ASPRS 2006 Annual Conference","conferenceDate":"May 1-5, 2006","conferenceLocation":"Reno, NV","language":"English","publisher":"ASPRS","usgsCitation":"Xian, G.Z., Crane, M., and McMahon, C., 2006, Analysis of urban land use change in the Las Vegas metropolitan area using multi-temporal satellite imagery, <i>in</i> Prospecting for geospatial information integration, Reno, NV, May 1-5, 2006, 10 p.","productDescription":"10 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462339,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/Conference-Proceedings.html","linkFileType":{"id":5,"text":"html"}},{"id":462340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Las Vegas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.54626991302445,\n              36.44889040820341\n            ],\n            [\n              -115.54626991302445,\n              35.8352044368426\n            ],\n            [\n              -114.75273105660025,\n              35.8352044368426\n            ],\n            [\n              -114.75273105660025,\n              36.44889040820341\n            ],\n            [\n              -115.54626991302445,\n              36.44889040820341\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crane, Mike","contributorId":99824,"corporation":false,"usgs":true,"family":"Crane","given":"Mike","email":"","affiliations":[],"preferred":false,"id":914254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, C.","contributorId":59308,"corporation":false,"usgs":true,"family":"McMahon","given":"C.","email":"","affiliations":[],"preferred":false,"id":914255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263317,"text":"70263317 - 2006 - Radiometric characterization and performance assessment of the Ali using bulk trended data","interactions":[],"lastModifiedDate":"2025-02-05T15:43:38.250508","indexId":"70263317","displayToPublicDate":"2006-12-01T09:37:46","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric characterization and performance assessment of the Ali using bulk trended data","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global priorities in land remote sensing","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"16th William T. Pecora Memorial Symposium on Remote Sensing","conferenceDate":"October 23-27, 2005","conferenceLocation":"Sioux Falls, SD","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","usgsCitation":"Ruggles, T., Helder, D., Hollaren, D.M., Nelson, J., and Morfitt, R., 2006, Radiometric characterization and performance assessment of the Ali using bulk trended data, <i>in</i> Global priorities in land remote sensing, Sioux Falls, SD, October 23-27, 2005, 12 p.","productDescription":"12 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":481703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruggles, Tim","contributorId":350548,"corporation":false,"usgs":false,"family":"Ruggles","given":"Tim","affiliations":[],"preferred":false,"id":926310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":99714,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","affiliations":[],"preferred":false,"id":926311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollaren, Douglas M.","contributorId":78253,"corporation":false,"usgs":true,"family":"Hollaren","given":"Douglas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":926312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Jim jnelson@usgs.gov","contributorId":4276,"corporation":false,"usgs":true,"family":"Nelson","given":"Jim","email":"jnelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":926313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":926314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242707,"text":"70242707 - 2006 - Remote sensing observations of landslides and ground deformation from the 2004 Niigata Ken Chuetsu earthquake","interactions":[],"lastModifiedDate":"2023-04-13T15:04:33.383335","indexId":"70242707","displayToPublicDate":"2006-12-01T09:21:07","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14244,"text":"Soils and Foundations","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing observations of landslides and ground deformation from the 2004 Niigata Ken Chuetsu earthquake","docAbstract":"<p><span>In recent years, major developments in remote sensing have made it possible to use these technologies to document the effects of earthquakes. Specifically, high-resolution satellite imagery and three-dimensional laser scanning (LIDAR) can provide important observations of earthquake damage that supplement traditional observations from field reconnaissance. The 2004 Niigata Ken Chuetsu earthquake provided an opportunity to use remote sensing to document the distribution of landslides in the epicentral region through the use of high-resolution satellite imagery and to document the detailed three-dimensional geometries of several failures using LIDAR. The satellite imagery was acquired the day after the earthquake, but at very large acquisition angles that resulted in image distortion. Nonetheless, the satellite imagery accurately identified the landslide distribution in the epicentral region, although the total area of landslides was underestimated by about 25% as compared with traditional aerial reconnaissance because of the large acquisition angle for the satellite imagery. Terrestrial LIDAR was used to collect three-dimensional data at several failure sites, including two large rock slides and a railroad tunnel portal affected by ground deformation. The LIDAR data allowed for precise measurement of failure deformations and geometries, and provided digital terrain models that could be archived and used in future analyses. In the future, satellite imagery and LIDAR, as well as other remote sensing technologies, will play an increasing role in documenting and understanding the effects of earthquakes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.3208/sandf.46.831","usgsCitation":"Rathje, E.M., Kayen, R., and Woo, K., 2006, Remote sensing observations of landslides and ground deformation from the 2004 Niigata Ken Chuetsu earthquake: Soils and Foundations, v. 46, no. 6, p. 831-842, https://doi.org/10.3208/sandf.46.831.","productDescription":"12 p.","startPage":"831","endPage":"842","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":477302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3208/sandf.46.831","text":"Publisher Index Page"},{"id":415711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","state":"Niigata Prefecture","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              138.766667,\n              37.3583\n            ],\n            [\n              138.766667,\n              37.25\n            ],\n            [\n              138.916667,\n              37.25\n            ],\n            [\n              138.916667,\n              37.3583\n            ],\n            [\n              138.766667,\n              37.3583\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rathje, Ellen M.","contributorId":9544,"corporation":false,"usgs":true,"family":"Rathje","given":"Ellen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":869426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayen, Robert E. 0000-0002-0356-072X","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":261195,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":869427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Kyu-Seok","contributorId":304142,"corporation":false,"usgs":false,"family":"Woo","given":"Kyu-Seok","email":"","affiliations":[],"preferred":false,"id":869428,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176689,"text":"70176689 - 2006 - Conceptual ecological model for management of breeding shrubland birds in the Mid-Atlantic Region","interactions":[],"lastModifiedDate":"2016-09-28T11:13:48","indexId":"70176689","displayToPublicDate":"2006-12-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NER/NRTR--2006/043","title":"Conceptual ecological model for management of breeding shrubland birds in the Mid-Atlantic Region","docAbstract":"<p>While grassland birds have become the focus of increased conservation activities, the status of birds occupying shrubland habitats has received relatively little attention (Hunter et al. 2001). Yet, in eastern North America, shrubland birds exhibited consistent population declines during the past 40 years, based on data from the North American Breeding Bird Survey (Pardieck and Sauer 2001). These population declines primarily reflect large-scale changes in land use patterns during the previous century (Lorimer 2001). Large areas of marginal farmland were abandoned and underwent secondary succession during the first half of the twentieth century, producing abundant successional habitats favored by shrubland birds. As these habitats matured, combined with strict fire-suppression policies (Hunter et al. 2001), shrublands succeeded into mature forests, and shrubland bird communities were replaced by woodland birds (Irland 1982; Askins 1993). For example, while nearly 29% of New England forests were classified as sapling stage in 1950, only 8% remained at that stage in the 1980s (Askins 1993). The trend towards forest maturation and loss of shrubland habitats continues, yet concerted conservation activities have not been directed to benefit declining shrubland bird populations. </p><p>The National Park Service (NPS) could contribute to shrubland bird conservation in the Mid- Atlantic Region. The NPS maintains a number of historic sites and former battlefields managed for their cultural significance but also support wildlife populations. Many of these “cultural parks” maintain open landscapes, recreating land use patterns existing at the times of the historical events. While these open landscapes are frequently managed grasslands, some parks also support successional habitats that could be managed to benefit shrubland birds. </p><p>In 2005, the NPS initiated a project exploring the potential of “cultural parks” to support significant breeding grassland and shrubland bird communities. This project involved parks within three NPS Inventory and Monitoring Program (I&amp;M) networks, Mid-Atlantic, National Capital, and Eastern Rivers and Mountains. Five parks were selected for the initial focus of this study, all of which maintain open landscapes for interpreting historic events. Most parks were selected because they contain the most extensive grassland habitats within their networks, although some also support shrubby successional habitats. The five parks included in this study are Antietam National Battlefield, Fort Necessity National Battlefield, Gettysburg National Battlefield, Manassas National Battlefield, and Monocacy National Battlefield. </p><p>This conceptual ecological model is one product of this project. The information presented below allows NPS network coordinators to understand which factors should be considered when making decisions concerning shrubland management within their networks. This model provides park resource managers with information on shrubland ecology in the Mid-Atlantic Region, the ecological requirements of shrubland birds likely to occur in their parks, and management issues influencing whether significant breeding populations can occupy shrublands created and maintained in the parks. Resource managers can then make informed decisions concerning their ability to create and maintain shrubland habitats. The emphasis of this conceptual model is restricted to management of breeding shrubland birds. Additional species occur during migration and winter, and habitat requirements of shrubland birds during nonbreeding seasons may differ from those described for the breeding season.</p>","language":"English","publisher":"U.S. Department of the Interior, National Park Service","publisherLocation":"Philadelphia, PA","usgsCitation":"Peterjohn, B.G., 2006, Conceptual ecological model for management of breeding shrubland birds in the Mid-Atlantic Region: Technical Report NPS/NER/NRTR--2006/043, vii, 61 p.","productDescription":"vii, 61 p.","numberOfPages":"74","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":329065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329064,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/150917","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ed5314e4b090825011d515","contributors":{"authors":[{"text":"Peterjohn, Bruce G. bpeterjohn@usgs.gov","contributorId":4493,"corporation":false,"usgs":true,"family":"Peterjohn","given":"Bruce","email":"bpeterjohn@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":649846,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79425,"text":"pp1650D - 2006 - Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America - Alaska species and ecoregions","interactions":[],"lastModifiedDate":"2023-08-31T13:22:20.331678","indexId":"pp1650D","displayToPublicDate":"2006-11-29T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1650","chapter":"D","title":"Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America - Alaska species and ecoregions","docAbstract":"Climate is the primary factor in controlling the continental-scale distribution of plant species, although the relations between climatic parameters and species' ranges is only now beginning to be quantified. Preceding volumes of this atlas explored the continental-scale relations between climatic parameters and the distributions of woody plant species across all of the continent of North America. This volume presents similar information for important woody species, groups of species, and ecoregions in more detail for the State of Alaska. For these analyses, we constructed a 25-kilometer equal-area grid of modern climatic and bioclimatic parameters for North America from instrumental weather records. We obtained a digital representation of the geographic distribution of each species or ecoregion, either from a published source or by digitizing the published distributions ourselves. The presence or absence of each species or ecoregion was then determined for each point on the 25-kilometer grid, thus providing a basis for comparison of the climatic data with the geographic distribution of each species or ecoregion. The relations between climate and these distributions are presented in graphical and tabular form.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1650D","isbn":"9781411310407","usgsCitation":"Thompson, R.S., Anderson, K.H., Strickland, L.E., Shafer, S., Pelltier, R.T., and Bartlein, P.J., 2006, Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America - Alaska species and ecoregions (Version 1.0): U.S. Geological Survey Professional Paper 1650, Report: iv, 342 p.; Data Release, https://doi.org/10.3133/pp1650D.","productDescription":"Report: iv, 342 p.; Data Release","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":419972,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FPD80E","text":"USGS data release","linkHelpText":"A gridded database of the modern distributions of climate, woody plant taxa, and ecoregions for the continental United States and Canada"},{"id":12000,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/p1650-d/","linkFileType":{"id":5,"text":"html"}},{"id":124715,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1650_d.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -172,51 ], [ -172,72 ], [ -130,72 ], [ -130,51 ], [ -172,51 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db6694b0","contributors":{"authors":[{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Katherine H. 0000-0003-2677-6109","orcid":"https://orcid.org/0000-0003-2677-6109","contributorId":52556,"corporation":false,"usgs":true,"family":"Anderson","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":289872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strickland, Laura E. 0000-0002-1958-7273 lstrickland@usgs.gov","orcid":"https://orcid.org/0000-0002-1958-7273","contributorId":4682,"corporation":false,"usgs":true,"family":"Strickland","given":"Laura","email":"lstrickland@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shafer, Sarah L.","contributorId":32623,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah L.","affiliations":[],"preferred":false,"id":289871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pelltier, Richard T. 0000-0001-8322-7961 rtpelltier@usgs.gov","orcid":"https://orcid.org/0000-0001-8322-7961","contributorId":4683,"corporation":false,"usgs":true,"family":"Pelltier","given":"Richard","email":"rtpelltier@usgs.gov","middleInitial":"T.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":289870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartlein, Patrick J.","contributorId":106879,"corporation":false,"usgs":true,"family":"Bartlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":289873,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":79424,"text":"ofr20061291 - 2006 - Soil Data from a Moderately Well and Somewhat Poorly Drained Fire Chronosequence near Thompson, Manitoba, Canada","interactions":[],"lastModifiedDate":"2012-03-13T17:16:49","indexId":"ofr20061291","displayToPublicDate":"2006-11-29T00:00:00","publicationYear":"2006","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":"2006-1291","title":"Soil Data from a Moderately Well and Somewhat Poorly Drained Fire Chronosequence near Thompson, Manitoba, Canada","docAbstract":"The U.S. Geological Survey project Fate of Carbon in Alaskan Landscapes (FOCAL) is studying the effect of fire and soil drainage on soil carbon storage in the boreal forest. As such this group was invited to be a part of a NSF-funded project (Fire, Ecosystem and Succession - Experiment Boreal or FIRES-ExB) to study the carbon balance of sites that varied in age (time since fire) and soil drainage in the Thompson, Manitoba, Canada region. This report describes the location of our FIRES-ExB sampling sites as well as the procedures used to describe, sample, and analyze the soils. This report also contains data tables with sample related information including, but not limited to, field descriptions, bulk density, particle size distribution, moisture content, carbon (C) concentration, nitrogen (N) concentration, isotopic data for C, and major, minor and trace elemental concentration.","language":"ENGLISH","publisher":"U. S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061291","usgsCitation":"Manies, K., Harden, J., Veldhuis, H., and Trumbore, S., 2006, Soil Data from a Moderately Well and Somewhat Poorly Drained Fire Chronosequence near Thompson, Manitoba, Canada (Version 1.1): U.S. Geological Survey Open-File Report 2006-1291, iv, 13 p. report; 13 p. site descriptions; 5 excel files; Revised 2012, https://doi.org/10.3133/ofr20061291.","productDescription":"iv, 13 p. report; 13 p. site descriptions; 5 excel files; Revised 2012","numberOfPages":"30","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":190717,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8931,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1291/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6985a2","contributors":{"authors":[{"text":"Manies, K.L.","contributorId":23228,"corporation":false,"usgs":true,"family":"Manies","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":289864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":289865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veldhuis, Hugo","contributorId":62294,"corporation":false,"usgs":true,"family":"Veldhuis","given":"Hugo","email":"","affiliations":[],"preferred":false,"id":289867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trumbore, Sue","contributorId":57160,"corporation":false,"usgs":true,"family":"Trumbore","given":"Sue","email":"","affiliations":[],"preferred":false,"id":289866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79419,"text":"ds215 - 2006 - Bedrock Geologic Map of New Hampshire, a Digital Representation of Lyons and Others 1997 Map and Ancillary Files","interactions":[],"lastModifiedDate":"2012-02-10T00:11:38","indexId":"ds215","displayToPublicDate":"2006-11-29T00:00:00","publicationYear":"2006","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":"215","title":"Bedrock Geologic Map of New Hampshire, a Digital Representation of Lyons and Others 1997 Map and Ancillary Files","docAbstract":"The New Hampshire Geological Survey collects data and performs research on the land, mineral, and water resources of the State, and disseminates the findings of such research to the public through maps, reports, and other publications.\r\n\r\nThe Bedrock Geologic Map of New Hampshire, by John B. Lyons, Wallace A. Bothner, Robert H. Moench, and James B. Thompson, was published in paper format by the U.S. Geological Survey (USGS) in 1997. The online version of this CD contains digital datasets of the State map that are intended to assist the professional geologist, land-use planners, water resource professionals, and engineers and to inform the interested layperson. In addition to the bedrock geology, the datasets include geopolitical and hydrologic information, such as political boundaries, quadrangle boundaries, hydrologic units, and water-well data. A more thorough explanation for each of these datasets may be found in the accompanying metadata files. \r\n\r\nThe data are spatially referenced and may be used in a geographic information system (GIS). ArcExplorer, the Environmental Systems Research Institute's (ESRI) free GIS data viewer, is available at http://www.esri.com/software/arcexplorer. ArcExplorer provides basic functions that are needed to harness the power and versatility of the spatial datasets. Additional information on the viewer and other ESRI products may be found on the ArcExplorer website.\r\n\r\nAlthough extensive review and revisions of the data have been performed by the USGS and the New Hampshire Geological Survey, these data represent interpretations made by professional geologists using the best available data, and are intended to provide general geologic information. Use of these data at scales larger than 1:250,000 will not provide greater accuracy. The data are not intended to replace site-specific or specific-use investigations. The U.S. Geological Survey, New Hampshire Geological Survey, and State of New Hampshire make no representation or warranty, expressed or implied, regarding the use, accuracy, or completeness of the data presented herein, or from a map printed from these data; nor shall the act of distribution constitute any such warranty. The New Hampshire Geological Survey disclaims any legal responsibility or liability for interpretations made from the map, or decisions based thereon. \r\n\r\nFor more information on New Hampshire Geological Survey programs please visit the State's website at http://des.nh.gov/Geology/. New Hampshire Geographically Referenced Analysis and Information Transfer System (NH GRANIT) provides access to statewide GIS (http://www.granit.unh.edu/). Questions about this CD or about other datasets should be directed to the New Hampshire Department of Environmental Services.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds215","isbn":"9781411311343","usgsCitation":"Bennett, D.S., Lyons, J.B., Wittkop, C.A., and Dicken, C.L., 2006, Bedrock Geologic Map of New Hampshire, a Digital Representation of Lyons and Others 1997 Map and Ancillary Files: U.S. Geological Survey Data Series 215, Available online and on CD-ROM, https://doi.org/10.3133/ds215.","productDescription":"Available online and on CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":244,"text":"Eastern Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":192368,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13095,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/215/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.56666666666666,42.7 ], [ -72.56666666666666,45.35 ], [ -70.56666666666666,45.35 ], [ -70.56666666666666,42.7 ], [ -72.56666666666666,42.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6be4b07f02db63dab1","contributors":{"authors":[{"text":"Bennett, Derek S.","contributorId":19919,"corporation":false,"usgs":true,"family":"Bennett","given":"Derek","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":289844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, John B.","contributorId":68801,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":289846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wittkop, Chad A.","contributorId":98811,"corporation":false,"usgs":true,"family":"Wittkop","given":"Chad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":289847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":289845,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":79421,"text":"sir20065238 - 2006 - Water-quality trend analysis and sampling design for the Devils Lake Basin, North Dakota, January 1965 through September 2003","interactions":[],"lastModifiedDate":"2017-10-15T11:18:52","indexId":"sir20065238","displayToPublicDate":"2006-11-29T00:00:00","publicationYear":"2006","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":"2006-5238","title":"Water-quality trend analysis and sampling design for the Devils Lake Basin, North Dakota, January 1965 through September 2003","docAbstract":"This report presents the results of a study conducted by the U.S. Geological Survey, in cooperation with the North Dakota State Water Commission, the Devils Lake Basin Joint Water Resource Board, and the Red River Joint Water Resource District, to analyze historical water-quality trends in three dissolved major ions, three nutrients, and one dissolved trace element for eight stations in the Devils Lake Basin in North Dakota and to develop an efficient sampling design to monitor the future trends.\r\n\r\nA multiple-regression model was used to detect and remove streamflow-related variability in constituent concentrations. To separate the natural variability in concentration as a result of variability in streamflow from the variability in concentration as a result of other factors, the base-10 logarithm of daily streamflow was divided into four components-a 5-year streamflow anomaly, an annual streamflow anomaly, a seasonal streamflow anomaly, and a daily streamflow anomaly. The constituent concentrations then were adjusted for streamflow-related variability by removing the 5-year, annual, seasonal, and daily variability. Constituents used for the water-quality trend analysis were evaluated for a step trend to examine the effect of Channel A on water quality in the basin and a linear trend to detect gradual changes with time from January 1980 through September 2003.\r\n\r\nThe fitted upward linear trends for dissolved calcium concentrations during 1980-2003 for two stations were significant. The fitted step trends for dissolved sulfate concentrations for three stations were positive and similar in magnitude. Of the three upward trends, one was significant. The fitted step trends for dissolved chloride concentrations were positive but insignificant. The fitted linear trends for the upstream stations were small and insignificant, but three of the downward trends that occurred during 1980-2003 for the remaining stations were significant. The fitted upward linear trends for dissolved nitrite plus nitrate as nitrogen concentrations during 1987-2003 for two stations were significant. However, concentrations during recent years appear to be lower than those for the 1970s and early 1980s but higher than those for the late 1980s and early 1990s. The fitted downward linear trend for dissolved ammonia concentrations for one station was significant. The fitted linear trends for total phosphorus concentrations for two stations were significant. Upward trends for total phosphorus concentrations occurred from the late 1980s to 2003 for most stations, but a small and insignificant downward trend occurred for one station. Continued monitoring will be needed to determine if the recent trend toward higher dissolved nitrite plus nitrate as nitrogen and total phosphorus concentrations continues in the future.\r\n\r\nFor continued monitoring of water-quality trends in the upper Devils Lake Basin, an efficient sampling design consists of five major-ion, nutrient, and trace-element samples per year at three existing stream stations and at three existing lake stations. This sampling design requires the collection of 15 stream samples and 15 lake samples per year rather than 16 stream samples and 20 lake samples per year as in the 1992-2003 program. Thus, the design would result in a program that is less costly and more efficient than the 1992-2003 program but that still would provide the data needed to monitor water-quality trends in the Devils Lake Basin.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065238","usgsCitation":"Ryberg, K.R., and Vecchia, A.V., 2006, Water-quality trend analysis and sampling design for the Devils Lake Basin, North Dakota, January 1965 through September 2003: U.S. Geological Survey Scientific Investigations Report 2006-5238, v, 64 p., https://doi.org/10.3133/sir20065238.","productDescription":"v, 64 p.","numberOfPages":"69","temporalStart":"1965-01-01","temporalEnd":"2003-09-30","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":125010,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5238.jpg"},{"id":8937,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5238/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Dakota","otherGeospatial":"Devils Lake Basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db6981b9","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":289855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79422,"text":"pp1725 - 2006 - Statistical characteristics of storm interevent time, depth, and duration for eastern New Mexico, Oklahoma, and Texas","interactions":[],"lastModifiedDate":"2016-08-24T15:20:37","indexId":"pp1725","displayToPublicDate":"2006-11-29T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1725","title":"Statistical characteristics of storm interevent time, depth, and duration for eastern New Mexico, Oklahoma, and Texas","docAbstract":"The design of small runoff-control structures, from simple floodwater-detention basins to sophisticated best-management practices, requires the statistical characterization of rainfall as a basis for cost-effective, risk-mitigated, hydrologic engineering design. The U.S. Geological Survey, in cooperation with the Texas Department of Transportation, has developed a framework to estimate storm statistics including storm interevent times, distributions of storm depths, and distributions of storm durations for eastern New Mexico, Oklahoma, and Texas. The analysis is based on hourly rainfall recorded by the National Weather Service. The database contains more than 155 million hourly values from 774 stations in the study area. Seven sets of maps depicting ranges of mean storm interevent time, mean storm depth, and mean storm duration, by county, as well as tables listing each of those statistics, by county, were developed. The mean storm interevent time is used in probabilistic models to assess the frequency distribution of storms. The Poisson distribution is suggested to model the distribution of storm occurrence, and the exponential distribution is suggested to model the distribution of storm interevent times. The four-parameter kappa distribution is judged as an appropriate distribution for modeling the distribution of both storm depth and storm duration. Preference for the kappa distribution is based on interpretation of L-moment diagrams. Parameter estimates for the kappa distributions are provided. Separate dimensionless frequency curves for storm depth and duration are defined for eastern New Mexico, Oklahoma, and Texas. Dimension is restored by multiplying curve ordinates by the mean storm depth or mean storm duration to produce quantile functions of storm depth and duration. Minimum interevent time and location have slight influence on the scale and shape of the dimensionless frequency curves. Ten example problems and solutions to possible applications are provided.\r\n\r\n","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1725","isbn":"1411310411","collaboration":"Prepared in cooperation with the Texas Department of Transportation","usgsCitation":"Asquith, W.H., Roussel, M.C., Cleveland, T., Fang, X., and Thompson, D.B., 2006, Statistical characteristics of storm interevent time, depth, and duration for eastern New Mexico, Oklahoma, and Texas: U.S. Geological Survey Professional Paper 1725, viii, 299 p., https://doi.org/10.3133/pp1725.","productDescription":"viii, 299 p.","numberOfPages":"307","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":194760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1725.PNG"},{"id":8941,"rank":100,"type":{"id":15,"text":"Index 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,{"id":79416,"text":"ofr20061352 - 2006 - National Geomagnetism Program: Current Status & Five-Year Plan, 2006-2010","interactions":[],"lastModifiedDate":"2012-02-02T00:14:11","indexId":"ofr20061352","displayToPublicDate":"2006-11-28T00:00:00","publicationYear":"2006","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":"2006-1352","title":"National Geomagnetism Program: Current Status & Five-Year Plan, 2006-2010","docAbstract":"Executive Summary: The U.S. Geological Survey's Geomagnetism Program serves the scientific community and the broader public by collecting and distributing magnetometer data from an array of ground-based observatories and by conducting scientific analysis on those data. Preliminary, variational time-series can be collected and distributed in near-real time, while fully calibrated, absolute time-series are distributed after processing. The data are used by the civilian and military parts of the Federal Government, by private industry, and by academia, for a wide variety of purposes of both immediately practical importance and long-term scientific interest, including space-weather diagnosis and related hazard mitigation, mapping of the magnetic field and measurement of its activity, and research on the nature of the Earth's interior and the near-Earth space environment. This document reviews the current status of the Program, in terms of its situation within the Government and within the scientific community; summarizes the Program's operations, its staffing situation, and its facilities; describes the diversity of uses of Program magnetometer data; and presents a plan for the next 5 years for enhancing the Program's data-based services, developing products, and conducting scientific research.\r\n","language":"ENGLISH","doi":"10.3133/ofr20061352","usgsCitation":"Love, J.J., 2006, National Geomagnetism Program: Current Status & Five-Year Plan, 2006-2010 (Version 1.0): U.S. Geological Survey Open-File Report 2006-1352, v, 41 p., https://doi.org/10.3133/ofr20061352.","productDescription":"v, 41 p.","numberOfPages":"46","onlineOnly":"Y","temporalStart":"2005-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":313,"text":"Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":192202,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8928,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1352/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64940b","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":289840,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79417,"text":"ofr20061298 - 2006 - Selected Well Data Used in Determining Ground-Water Availability in the North and South Carolina Atlantic Coastal Plain Aquifer Systems","interactions":[],"lastModifiedDate":"2016-12-08T09:17:21","indexId":"ofr20061298","displayToPublicDate":"2006-11-28T00:00:00","publicationYear":"2006","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":"2006-1298","title":"Selected Well Data Used in Determining Ground-Water Availability in the North and South Carolina Atlantic Coastal Plain Aquifer Systems","docAbstract":"The data presented in this report are for selected wells in North and South Carolina that are located in the Atlantic Coastal Plain aquifer system. The data represent a partial inventory of wells in the study area and are to be used to update a regional flow model for North and South Carolina. This inventory includes a total of 813 wells in North Carolina and 461 wells in South Carolina.\r\n\r\nThe well data include well-identification numbers, well locations by latitude and longitude, land-surface elevations, hole depths, well depths, open or screened interval(s), well diameters, depth to water, dates of water-level measurements, and aquifer assignment and transmissivity. Ground-water data presented in this report were obtained from field investigations and compiled from existing well records, both published and unpublished.\r\n","language":"ENGLISH","doi":"10.3133/ofr20061298","usgsCitation":"Harrelson, L.G., and Fine, J.M., 2006, Selected Well Data Used in Determining Ground-Water Availability in the North and South Carolina Atlantic Coastal Plain Aquifer Systems (Version 1.0): U.S. Geological Survey Open-File Report 2006-1298, iv, 81 p., https://doi.org/10.3133/ofr20061298.","productDescription":"iv, 81 p.","numberOfPages":"85","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":8929,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1298/","linkFileType":{"id":5,"text":"html"}},{"id":194759,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"South 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Carolina\",\"nation\":\"USA  \"}}]}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa7ac","contributors":{"authors":[{"text":"Harrelson, Larry G.","contributorId":70059,"corporation":false,"usgs":true,"family":"Harrelson","given":"Larry","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":289842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fine, Jason M. 0000-0002-6386-256X jmfine@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-256X","contributorId":2238,"corporation":false,"usgs":true,"family":"Fine","given":"Jason","email":"jmfine@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":289841,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79413,"text":"ds223 - 2006 - Spatial database of mining-related features in 2001 at selected phosphate mines, Bannock, Bear Lake, Bingham, and Caribou Counties, Idaho","interactions":[],"lastModifiedDate":"2012-02-10T00:11:44","indexId":"ds223","displayToPublicDate":"2006-11-27T00:00:00","publicationYear":"2006","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":"223","title":"Spatial database of mining-related features in 2001 at selected phosphate mines, Bannock, Bear Lake, Bingham, and Caribou Counties, Idaho","docAbstract":"This report describes the spatial database, PHOSMINE01, and the processes used to delineate mining-related features (active and inactive/historical) in the core of the southeastern Idaho phosphate resource area. The spatial data have varying degrees of accuracy and attribution detail. Classification of areas by type of mining-related activity at active mines is generally detailed; however, for many of the closed or inactive mines the spatial coverage does not differentiate mining-related surface disturbance features.\r\nNineteen phosphate mine sites are included in the study, three active phosphate mines - Enoch Valley (nearing closure), Rasmussen Ridge, and Smoky Canyon - and 16 inactive (or historical) phosphate mines - Ballard, Champ, Conda, Diamond Gulch, Dry Valley, Gay, Georgetown Canyon, Henry, Home Canyon, Lanes Creek, Maybe Canyon, Mountain Fuel, Trail Canyon, Rattlesnake, Waterloo, and Wooley Valley. Approximately 6,000 hc (15,000 ac), or 60 km2 (23 mi2) of phosphate mining-related surface disturbance are documented in the spatial coverage. Spatial data for the inactive mines is current because no major changes have occurred; however, the spatial data for active mines were derived from digital maps prepared in early 2001 and therefore recent activity is not included. The inactive Gay Mine has the largest total area of disturbance, 1,900 hc (4,700 ac) or about 19 km2 (7.4 mi2). It encompasses over three times the disturbance area of the next largest mine, the Conda Mine with 610 hc (1,500 ac), and it is nearly four times the area of the Smoky Canyon Mine, the largest of the active mines with about 550 hc (1,400 ac).\r\nThe wide range of phosphate mining-related surface disturbance features (141) from various industry maps were reduced to 15 types or features based on a generic classification system used for this study: mine pit; backfilled mine pit; waste rock dump; adit and waste rock dump; ore stockpile; topsoil stockpile; tailings or tailings pond; sediment catchment; facilities; road; railroad; water reservoir; disturbed land, undifferentiated; and undisturbed land. In summary, the spatial coverage includes polygons totaling about 1,100 hc (2,800 ac) of mine pits, 440 hc (1100 ac) of backfilled mine pits, 1,600 hc (3,800 ac) of waste rock dumps, 31 hc (75 ac) of ore stockpiles, and 44 hc (110 ac) of tailings or tailings ponds. Areas of undifferentiated phosphate mining-related land disturbances, called 'disturbed land, undifferentiated,' total about 2,200 hc (5,500 ac) or nearly 22 km2 (8.6 mi2). No determination has been made as to status of reclamation on any of the lands. Subsequent site-specific studies to delineate distinct mine features will allow additional revisions to this spatial database.","language":"ENGLISH","doi":"10.3133/ds223","usgsCitation":"Moyle, P.R., and Kayser, H.Z., 2006, Spatial database of mining-related features in 2001 at selected phosphate mines, Bannock, Bear Lake, Bingham, and Caribou Counties, Idaho (Version 1.0): U.S. Geological Survey Data Series 223, 58 p.; oversized sheet, 28 by 38 inches; data files, https://doi.org/10.3133/ds223.","productDescription":"58 p.; oversized sheet, 28 by 38 inches; data files","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":658,"text":"Western Mineral Resources","active":false,"usgs":true}],"links":[{"id":194614,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8925,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/223/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6da2","contributors":{"authors":[{"text":"Moyle, Phillip R.","contributorId":100898,"corporation":false,"usgs":true,"family":"Moyle","given":"Phillip","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":289836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kayser, Helen Z.","contributorId":46173,"corporation":false,"usgs":true,"family":"Kayser","given":"Helen","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":289835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176948,"text":"70176948 - 2006 - Long-term population monitoring: Lessons learned from an endangered passerine in Hawai‘i","interactions":[],"lastModifiedDate":"2016-10-13T13:25:01","indexId":"70176948","displayToPublicDate":"2006-11-23T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Long-term population monitoring: Lessons learned from an endangered passerine in Hawai‘i","docAbstract":"<p><span>Obtaining reliable population estimates is crucial to monitoring endangered species and developing recovery strategies. The palila (</span><i>Loxioides bailleui</i><span>) is an endangered seed-eating Hawaiian honeycreeper restricted to the subalpine forests of Mauna Kea, a volcano on the island of Hawai‘i, USA. The species is vulnerable to extinction primarily because &gt;90% of the population is concentrated in &lt;30 km</span><sup>2</sup><span> of habitat on the western slope of this high, dormant volcano. Annual surveys of the palila population have been conducted for ecological, legal, and other purposes since 1980. Because refinements to sampling protocols and analytical methods have evolved, we examined means of adapting the monitoring program to produce comparable estimates of abundance over the past 25-year period and into the future. We conducted variable circular plot surveys during the nonbreeding season (Jan–Mar) and this used data to obtain estimates of effective detection radius and annual density with Distance 4.0, Release 2. For comparability over the time-series, we excluded from analysis the data from new transects. We partitioned the 25-year data set (1980–1996 and 1997–2004) into 2 separate analyses because, beginning in 1997, observers received more training to reduce their tendency to estimate distances to 5-m intervals. We used geographic strata in the analysis of recent surveys because changes in habitat may have invalidated the density-based strata used previously. By adding observer and year and observer and time of day as co-variables, we improved the model fit to the 2 data sets, respectively. Annual estimates were confounded by changes in sampling methodology and analytical procedures over time. However, the addition of new transects, increased training for observers, and use of exact distance estimates instead of rounding also improved model fit. Habitat characteristics and behavior of palila that potentially influenced detection probability, sampling, analysis, and interpretation were regeneration of trees in response to reduced numbers of introduced browsing mammals, seasonally variable rates of vocalization, non-territoriality, and resource-tracking along an elevation gradient. We believe our adaptive approach to analysis and interpretation of 25 years of annual variable circular plot data could help guide similar long-term monitoring efforts.</span></p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.2193/0091-7648(2006)34[1055:LPMLLF]2.0.CO;2","usgsCitation":"Johnson, L., Camp, R., Brinck, K., and Banko, P.C., 2006, Long-term population monitoring: Lessons learned from an endangered passerine in Hawai‘i: Wildlife Society Bulletin, v. 34, no. 4, p. 1055-1063, https://doi.org/10.2193/0091-7648(2006)34[1055:LPMLLF]2.0.CO;2.","startPage":"1055","endPage":"1063","numberOfPages":"9","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":329535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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