We measured transpiration by black greasewood (Sarcobatus vermiculatus) (SAVE) and fourwing saltbush (Atriplex canescens) (ATCA) over a nitrate-contaminated aquifer in Monument Valley, Arizona, on the Colorado Plateau. Heat balance sap flow sensors were used to measure transpiration by shrubs in 2006 and 2007 and results were scaled to larger landscape units and longer time scales using leaf area index (LAI), fractional vegetation cover, meteorological data, and the enhanced vegetation index (EVI) from MODIS sensors on the Terra satellite. Transpiration was high depending on leaf area (2·95–6·72 kg m−2 d−1) and was controlled by vapour pressure deficit (D) in the atmosphere. SAVE tended to have higher transpiration rates than ATCA and had a steeper response to D, but both exhibited midday depression of leaf conductance. Over most of the site, fractional vegetation cover (fc) and area-wide LAI were low (0·10 and 0·37, respectively) due to heavy grazing by cattle and sheep. However, a portion of the plume that had been protected from grazing for 10 years had fc = 0·75, LAI = 2·88. Transpiration rates on a ground-area basis varied with LAI, with midsummer daily values ranging from 1·44 mm d−1 (LAI = 0·36) to 13·1 mm d−1 (LAI = 2·88 mm) over the site, corresponding to projected annual values of 159–1447 mm year−1. Controlling grazing could, theoretically, slow or halt the movement of the contamination plume by allowing the shrub community to extract more water than is recharged in the aquifer.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.19","usgsCitation":"Glenn, E., Morino, K., Didan, K., Jordan, F., Carroll, K.C., Nagler, P.L., Hultine, K.R., Sheader, L., and Waugh, J., 2008, Scaling sap flux measurements of grazed and ungrazed shrub communities with fine and coarse-resolution remote sensing: Ecohydrology, v. 1, no. 4, p. 316-329, https://doi.org/10.1002/eco.19.","productDescription":"14 p.","startPage":"316","endPage":"329","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Monument Valley Uranium Mill Tailings Remediation site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.60777723945897,\n 38.61076825966248\n ],\n [\n -109.60777723945897,\n 38.5917504920352\n ],\n [\n -109.58167910696903,\n 38.5917504920352\n ],\n [\n -109.58167910696903,\n 38.61076825966248\n ],\n [\n -109.60777723945897,\n 38.61076825966248\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":952828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morino, Kiyomi","contributorId":78210,"corporation":false,"usgs":true,"family":"Morino","given":"Kiyomi","email":"","affiliations":[],"preferred":false,"id":952829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":952830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Fiona","contributorId":364530,"corporation":false,"usgs":false,"family":"Jordan","given":"Fiona","affiliations":[],"preferred":false,"id":952831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carroll, Kenneth C. 0000-0003-2097-9589","orcid":"https://orcid.org/0000-0003-2097-9589","contributorId":247827,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":952832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":952834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheader, Linda","contributorId":364531,"corporation":false,"usgs":false,"family":"Sheader","given":"Linda","affiliations":[],"preferred":false,"id":952835,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Waugh, Jody","contributorId":196070,"corporation":false,"usgs":false,"family":"Waugh","given":"Jody","affiliations":[],"preferred":false,"id":952836,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":86232,"text":"sir20085107 - 2008 - Estimated Flood Discharges and Map of Flood-Inundated Areas for Omaha Creek, near Homer, Nebraska, 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20085107","displayToPublicDate":"2008-09-25T00:00:00","publicationYear":"2008","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":"2008-5107","title":"Estimated Flood Discharges and Map of Flood-Inundated Areas for Omaha Creek, near Homer, Nebraska, 2005","docAbstract":"Repeated flooding of Omaha Creek has caused damage in the Village of Homer. Long-term degradation and bridge scouring have changed substantially the channel characteristics of Omaha Creek. Flood-plain managers, planners, homeowners, and others rely on maps to identify areas at risk of being inundated.\r\n\r\nTo identify areas at risk for inundation by a flood having a 1-percent annual probability, maps were created using topographic data and water-surface elevations resulting from hydrologic and hydraulic analyses. The hydrologic analysis for the Omaha Creek study area was performed using historical peak flows obtained from the U.S. Geological Survey streamflow gage (station number 06601000). Flood frequency and magnitude were estimated using the PEAKFQ Log-Pearson Type III analysis software. The U.S. Army Corps of Engineers' Hydrologic Engineering Center River Analysis System, version 3.1.3, software was used to simulate the water-surface elevation for flood events. The calibrated model was used to compute streamflow-gage stages and inundation elevations for the discharges corresponding to floods of selected probabilities. Results of the hydrologic and hydraulic analyses indicated that flood inundation elevations are substantially lower than from a previous study.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085107","collaboration":"Prepared in cooperation with the Village of Homer, Nebraska, and the Papio-Missouri River Natural Resources District","usgsCitation":"Dietsch, B.J., Wilson, R.C., and Strauch, K.R., 2008, Estimated Flood Discharges and Map of Flood-Inundated Areas for Omaha Creek, near Homer, Nebraska, 2005 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5107, iv, 11 p., https://doi.org/10.3133/sir20085107.","productDescription":"iv, 11 p.","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":11813,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5107/","linkFileType":{"id":5,"text":"html"}},{"id":195073,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.75,42 ], [ -96.75,42.416666666666664 ], [ -96.33333333333333,42.416666666666664 ], [ -96.33333333333333,42 ], [ -96.75,42 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdc58","contributors":{"authors":[{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Richard C. wilson@usgs.gov","contributorId":846,"corporation":false,"usgs":true,"family":"Wilson","given":"Richard","email":"wilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86231,"text":"sir20085138 - 2008 - Evaluation of selected model constraints and variables on simulated sustainable yield from the Mississippi River Valley alluvial aquifer system in Arkansas","interactions":[],"lastModifiedDate":"2019-12-30T14:06:55","indexId":"sir20085138","displayToPublicDate":"2008-09-23T00:00:00","publicationYear":"2008","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":"2008-5138","title":"Evaluation of selected model constraints and variables on simulated sustainable yield from the Mississippi River Valley alluvial aquifer system in Arkansas","docAbstract":"An existing conjunctive use optimization model of the Mississippi River Valley alluvial aquifer was used to evaluate the effect of selected constraints and model variables on ground-water sustainable yield. Modifications to the optimization model were made to evaluate the effects of varying (1) the upper limit of ground-water withdrawal rates, (2) the streamflow constraint associated with the White River, and (3) the specified stage of the White River. Upper limits of ground-water withdrawal rates were reduced to 75, 50, and 25 percent of the 1997 ground-water withdrawal rates. As the upper limit is reduced, the spatial distribution of sustainable pumping increases, although the total sustainable pumping from the entire model area decreases. In addition, the number of binding constraint points decreases. In a separate analysis, the streamflow constraint associated with the White River was optimized, resulting in an estimate of the maximum sustainable streamflow at DeValls Bluff, Arkansas, the site of potential surface-water withdrawals from the White River for the Grand Prairie Area Demonstration Project. The maximum sustainable streamflow, however, is less than the amount of streamflow allocated in the spring during the paddlefish spawning period. Finally, decreasing the specified stage of the White River was done to evaluate a hypothetical river stage that might result if the White River were to breach the Melinda Head Cut Structure, one of several manmade diversions that prevents the White River from permanently joining the Arkansas River. A reduction in the stage of the White River causes reductions in the sustainable yield of ground water.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085138","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Czarnecki, J.B., 2008, Evaluation of selected model constraints and variables on simulated sustainable yield from the Mississippi River Valley alluvial aquifer system in Arkansas (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5138, iv, 22 p., https://doi.org/10.3133/sir20085138.","productDescription":"iv, 22 p.","onlineOnly":"Y","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":190819,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11811,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5138/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.38427734374999,\n 33.04550781490999\n ],\n [\n -90.85693359375,\n 33.02708758002874\n ],\n [\n -90.85693359375,\n 33.61461929233378\n ],\n [\n -90.54931640625,\n 34.016241889667015\n ],\n [\n -90.3076171875,\n 34.415973384481866\n ],\n [\n -89.82421875,\n 35.37113502280101\n ],\n [\n -89.31884765624999,\n 36.12012758978146\n ],\n [\n -90.02197265625,\n 35.94243575255426\n ],\n [\n -90.81298828125,\n 34.994003757575776\n ],\n [\n -91.47216796875,\n 33.61461929233378\n ],\n [\n -91.38427734374999,\n 33.04550781490999\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e703a","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":297249,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86228,"text":"pp1757 - 2008 - The Inskip Formation, the Harmony Formation, and the Havallah sequence of Northwestern Nevada — An interrelated Paleozoic assemblage in the home of the Sonoma orogeny","interactions":[],"lastModifiedDate":"2022-12-14T22:11:42.350823","indexId":"pp1757","displayToPublicDate":"2008-09-20T00:00:00","publicationYear":"2008","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":"1757","title":"The Inskip Formation, the Harmony Formation, and the Havallah sequence of Northwestern Nevada — An interrelated Paleozoic assemblage in the home of the Sonoma orogeny","docAbstract":"An area between the towns of Winnemucca and Battle Mountain in northwestern Nevada, termed the arkosic triangle, includes the type areas of the middle to upper Paleozoic Inskip Formation and Havallah sequence, the Upper Devonian to Mississippian Harmony Formation, the Sonoma orogeny, and the Golconda thrust. According to an extensive body of scientific literature, the Havallah sequence, a diverse assemblage of oceanic rocks, was obducted onto the continent during the latest Permian or earliest Triassic Sonoma orogeny by way of the Golconda thrust. This has been the most commonly accepted theory for half a century, often cited but rarely challenged. The tectonic roles of the Inskip and Harmony Formations have remained uncertain, and they have never been fully integrated into the accepted theory. New, and newly interpreted, data are incompatible with the accepted theory and force comprehensive stratigraphic and tectonic concepts that include the Inskip and Harmony Formations as follows: middle to upper Paleozoic strata, including the Inskip, Harmony, and Havallah, form an interrelated assemblage that was deposited in a single basin on an autochthonous sequence of Cambrian, Ordovician, and lowest Silurian strata of the outer miogeocline. Sediments composing the Upper Devonian to Permian sequence entered the basin from both sides, arkosic sands, gravel, limestone olistoliths, and other detrital components entered from the west, and quartz, quartzite, chert, and other clasts from the east. Tectonic activity was expressed as: (1) Devonian uplift and erosion of part of the outer miogeocline; (2) Late Devonian depression of the same area, forming a trough, probably fault-bounded, in which the Inskip, Harmony, and Havallah were deposited; (3) production of intraformational and extrabasinal conglomerates derived from the basinal rocks; and (4) folding or tilting of the east side of the depositional basin in the Pennsylvanian. These middle to upper Paleozoic deposits were compressed in the Jurassic, causing east-verging thrusts in the eastern part of the depositional basin (Golconda thrust) and west-verging thrusts and folds in the western part. Hypotheses involving a far-traveled allochthon that was obducted from an ocean or back-arc basin are incompatible with modern observations and concepts.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1757","usgsCitation":"Ketner, K.B., 2008, The Inskip Formation, the Harmony Formation, and the Havallah sequence of Northwestern Nevada — An interrelated Paleozoic assemblage in the home of the Sonoma orogeny (Version 1.0): U.S. Geological Survey Professional Paper 1757, vi, 21 p., https://doi.org/10.3133/pp1757.","productDescription":"vi, 21 p.","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":190605,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1757.gif"},{"id":11806,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1757/","linkFileType":{"id":5,"text":"html"}},{"id":356876,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1757/pdf/pp1757_508.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Nevada","otherGeospatial":"Harmony Formation, Havallah sequence, Inskip Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118,\n 39.5\n ],\n [\n -118,\n 42\n ],\n [\n -117.375,\n 42\n ],\n [\n -117.375,\n 39.5\n ],\n [\n -118,\n 39.5\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c0b6","contributors":{"authors":[{"text":"Ketner, Keith B.","contributorId":957,"corporation":false,"usgs":true,"family":"Ketner","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":true,"id":297244,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86224,"text":"fs20083074 - 2008 - Enhancing The National Map Through Tactical Planning and Performance Monitoring","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"fs20083074","displayToPublicDate":"2008-09-20T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3074","title":"Enhancing The National Map Through Tactical Planning and Performance Monitoring","docAbstract":"Tactical planning and performance monitoring are initial steps toward improving 'the way The National Map works' and supporting the U.S. Geological Survey (USGS) Science Strategy. This Tactical Performance Planning Summary for The National Map combines information from The National Map 2.0 Tactical Plan and The National Map Performance Milestone Matrix. The National Map 2.0 Tactical Plan is primarily a working document to guide The National Map program's execution, production, and metrics monitoring for fiscal years (FY) 2008 and 2009. The Tactical Plan addresses data, products, and services, as well as supporting and enabling activities. \r\n\r\nThe National Map's 2-year goal for FY 2008 and FY 2009 is to provide a range of geospatial products and services that further the National Spatial Data Infrastructure and underpin USGS science. To do this, the National Geospatial Program will develop a renewed understanding during FY 2008 of key customer needs and requirements, develop the infrastructure to support The National Map business model, modernize its business processes, and reengineer its workforce. Priorities for The National Map will be adjusted if necessary to respond to changes to the project that may impact resources, constrain timeframes, or change customer needs. The supporting and enabling activities that make it possible to produce the products and services of The National Map will include partnership activities, improved compatibility of systems, outreach, and integration of data themes.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083074","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, Enhancing The National Map Through Tactical Planning and Performance Monitoring: U.S. Geological Survey Fact Sheet 2008-3074, 6 p., https://doi.org/10.3133/fs20083074.","productDescription":"6 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":124525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3074.jpg"},{"id":11802,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3074/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699ee1","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534983,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86227,"text":"sir20085131 - 2008 - Three-Dimensional Geologic Model of Complex Fault Structures in the Upper Seco Creek Area, Medina and Uvalde Counties, South-Central Texas","interactions":[],"lastModifiedDate":"2025-05-14T18:55:10.78366","indexId":"sir20085131","displayToPublicDate":"2008-09-20T00:00:00","publicationYear":"2008","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":"2008-5131","title":"Three-Dimensional Geologic Model of Complex Fault Structures in the Upper Seco Creek Area, Medina and Uvalde Counties, South-Central Texas","docAbstract":"This multimedia report shows and describes digital three-dimensional faulted geologic surfaces and volumes of the lithologic units of the Edwards aquifer in the upper Seco Creek area of Medina and Uvalde Counties in south-central Texas. This geologic framework model was produced using (1) geologic maps and interpretations of depositional environments and paleogeography; (2) lithologic descriptions, interpretations, and geophysical logs from 31 drill holes; (3) rock core and detailed lithologic descriptions from one drill hole; (4) helicopter electromagnetic geophysical data; and (5) known major and minor faults in the study area. These faults were used because of their individual and collective effects on the continuity of the aquifer-forming units in the Edwards Group. Data and information were compared and validated with each other and reflect the complex relationships of structures in the Seco Creek area of the Balcones fault zone. \r\n\r\nThis geologic framework model can be used as a tool to visually explore and study geologic structures within the Seco Creek area of the Balcones fault zone and to show the connectivity of hydrologic units of high and low permeability between and across faults. The software can be used to display other data and information, such as drill-hole data, on this geologic framework model in three-dimensional space.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085131","usgsCitation":"Pantea, M.P., Cole, J., Smith, B.D., Faith, J.R., Blome, C.D., and Smith, D.V., 2008, Three-Dimensional Geologic Model of Complex Fault Structures in the Upper Seco Creek Area, Medina and Uvalde Counties, South-Central Texas (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5131, Available online and on DVD-ROM, https://doi.org/10.3133/sir20085131.","productDescription":"Available online and on DVD-ROM","costCenters":[{"id":229,"text":"Earth Surface Processes Team","active":false,"usgs":true}],"links":[{"id":11805,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5131/","linkFileType":{"id":5,"text":"html"}},{"id":122378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5131.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b905","contributors":{"authors":[{"text":"Pantea, Michael P. mpantea@usgs.gov","contributorId":1549,"corporation":false,"usgs":true,"family":"Pantea","given":"Michael","email":"mpantea@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, J. C.","contributorId":21539,"corporation":false,"usgs":true,"family":"Cole","given":"J. C.","affiliations":[],"preferred":false,"id":297242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":297238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faith, Jason R.","contributorId":92758,"corporation":false,"usgs":true,"family":"Faith","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":297243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":297239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, David V. 0000-0003-0426-4401 dvsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0426-4401","contributorId":1306,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dvsmith@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":297240,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":86214,"text":"ofr20081283 - 2008 - Elevation Derivatives for Mojave Desert Tortoise Habitat","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"ofr20081283","displayToPublicDate":"2008-09-18T00:00:00","publicationYear":"2008","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":"2008-1283","title":"Elevation Derivatives for Mojave Desert Tortoise Habitat","docAbstract":"This report describes the methods used to derive various elevation-derivative grids that were inputted to the Mojave Desert Tortoise Habitat model (L. Gass and others, unpub. data). These grids, which capture information on surface roughness and topographic characteristics, are a subset of the environmental datasets evaluated for the tortoise habitat model. This habitat model is of major importance to the U.S. Fish and Wildlife Service, which is charged with management of this threatened population, including relocating displaced tortoises to areas identified as suitable habitat.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081283","usgsCitation":"Wallace, C., and Gass, L., 2008, Elevation Derivatives for Mojave Desert Tortoise Habitat (Version 1.0): U.S. Geological Survey Open-File Report 2008-1283, iii, 7 p., https://doi.org/10.3133/ofr20081283.","productDescription":"iii, 7 p.","onlineOnly":"Y","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":190634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11791,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1283/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db605e49","contributors":{"authors":[{"text":"Wallace, Cynthia S.A.","contributorId":70487,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","affiliations":[],"preferred":false,"id":297203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":297202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86219,"text":"sir20075275 - 2008 - Ground-Water Storage Change and Land Subsidence in Tucson Basin and Avra Valley, Southeastern Arizona, 1998-2002","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"sir20075275","displayToPublicDate":"2008-09-18T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5275","title":"Ground-Water Storage Change and Land Subsidence in Tucson Basin and Avra Valley, Southeastern Arizona, 1998-2002","docAbstract":"Gravity and land subsidence were measured annually at wells and benchmarks within two networks in Tucson Basin and Avra Valley from 1998 to 2002. Both networks are within the Tucson Active Management Area. Annual estimates of ground-water storage change, ground-water budgets, and land subsidence were made based on the data. Additionally, estimates of specific yield were made at wells within the monitored region. Increases in gravity and water-level rises followed above-average natural recharge during winter 1998 in Tucson Basin. Overall declining gravity and water-level trends from 1999 to 2002 in Tucson Basin reflected general declining ground-water storage conditions and redistribution of the recent recharge throughout a larger region of the aquifer. The volume of stored ground-water in the monitored portion of Tucson Basin increased 200,000 acre-feet from December 1997 to February 1999; however, thereafter an imbalance in ground-water pumpage in excess of recharge led to a net storage loss for the monitoring period by February 2002. Ground-water storage in Avra Valley increased 70,000 acre-feet during the monitoring period, largely as a result of artificial and incidental recharge in the monitored region. The water-budget for the combined monitored regions of Tucson Basin and Avra Valley was dominated by about 460,000 acre-feet of recharge during 1998 followed by an average-annual recharge rate of about 80,000 acre-feet per year from 1999 to 2002. Above-average recharge during winter 1998, followed by average-annual deficit conditions, resulted in an overall balanced water budget for the monitored period. Monitored variations in storage compared well with simulated average-annual conditions, except for above-average recharge from 1998 to 1999. The difference in observed and simulated conditions indicate that ground-water flow models can be improved by including climate-related variations in recharge rates rather than invariable rates of average-annual recharge. Observed land-subsidence during the monitoring period was less than 1 inch except in the central part of Tucson Basin where land subsidence was about 2-3 inches. \r\n\r\nCorrelations of gravity-based storage and water-level change at 37 wells were variable and illustrate the complex nature of the aquifer system. Storage and water-level variations were insufficient to estimate specific yield at many wells. Correlations at several wells were poor, inverse, or resulted in unreasonably large values of specific yield. Causes of anomalously correlated gravity and water levels include significant storage change in thick unsaturated zones, especially near major ephemeral channels, and multiple aquifers that are poorly connected hydraulically. Good correlation of storage and water-level change at 10 wells that were not near major streams where significant changes in unsaturated zone storage occur resulted in an average specific-yield value of 0.27.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075275","collaboration":"Prepared in cooperation with the Arizona Department of Water Resources, Tucson Water, Pima County, the Town of Oro Valley, and Metropolitan Domestic Water Improvement District","usgsCitation":"Pool, D.R., and Anderson, M.T., 2008, Ground-Water Storage Change and Land Subsidence in Tucson Basin and Avra Valley, Southeastern Arizona, 1998-2002 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5275, vi, 34 p., https://doi.org/10.3133/sir20075275.","productDescription":"vi, 34 p.","onlineOnly":"Y","temporalStart":"1998-01-01","temporalEnd":"2002-12-31","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":11796,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5275/","linkFileType":{"id":5,"text":"html"}},{"id":195202,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5,31.75 ], [ -111.5,32.75 ], [ -110.5,32.75 ], [ -110.5,31.75 ], [ -111.5,31.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d458","contributors":{"authors":[{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Mark T. 0000-0002-1477-6788 manders@usgs.gov","orcid":"https://orcid.org/0000-0002-1477-6788","contributorId":1764,"corporation":false,"usgs":true,"family":"Anderson","given":"Mark","email":"manders@usgs.gov","middleInitial":"T.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":297212,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86220,"text":"ofr20071362 - 2008 - Assessment of 1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene (DDE) transformation rates on the Palos Verdes Shelf, CA","interactions":[],"lastModifiedDate":"2022-07-20T19:20:37.294697","indexId":"ofr20071362","displayToPublicDate":"2008-09-18T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1362","title":"Assessment of 1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene (DDE) transformation rates on the Palos Verdes Shelf, CA","docAbstract":"In 1953, the world's largest producer of DDT, Montrose Chemical Corporation, began to discharge process wastes into sewers of the Los Angeles County Sanitation Districts (LACSD), California. By 1971, when the sewer connection was terminated, approximately 1,500-2,000 metric tons of DDT had been introduced to the LACSD treatment plant in Carson, CA. After treatment, effluent from this plant was released to the ocean through a submarine outfall system on the Palos Verdes Shelf (PVS) near Los Angeles, resulting in the accumulation of highly contaminated marine sediments. Numerous investigations of the PVS have been undertaken since the late 1960s, but few have focused on the biogeochemical fate of DDT and its transformation products.\r\n\r\nIn the early 1990s, it was shown that DDE, the major DDT compound in the sediments, was being reductively dechlorinated by microorganisms resident in sediments on the PVS. The U.S. Geological Survey undertook a study in cooperation with the U.S. Environmental Protection Agency to provide a better understanding of the range of reductive dechlorination rates on the PVS and the environmental factors that control them. Existing data show that rates of reductive dechlorination are variable spatially. A comparison of data from two cores collected approximately 7 kilometers downcurrent from the outfall systems in 1992 and 2003 yielded an average first-order transformation rate of approximately 0.05 yr-1. A multistep reaction model suggests that inventories of DDE in PVS sediments at the study site will continue to decline, whereas the inventory of the metabolite DDNU will reach a maximum around 2014.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071362","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Eganhouse, R., and Pontolillo, J., 2008, Assessment of 1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene (DDE) transformation rates on the Palos Verdes Shelf, CA: U.S. Geological Survey Open-File Report 2007-1362, Report: x, 114 p.; 7 Appendices, https://doi.org/10.3133/ofr20071362.","productDescription":"Report: x, 114 p.; 7 Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195311,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11797,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1362/","linkFileType":{"id":5,"text":"html"}},{"id":404153,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84443.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Palo Verdes Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.455,\n 33.68\n ],\n [\n -118.26,\n 33.68\n ],\n [\n -118.26,\n 33.79\n ],\n [\n -118.455,\n 33.79\n ],\n [\n -118.455,\n 33.68\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db6729c0","contributors":{"authors":[{"text":"Eganhouse, Robert P. eganhous@usgs.gov","contributorId":2031,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert P.","email":"eganhous@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":297213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pontolillo, James jpontoli@usgs.gov","contributorId":2033,"corporation":false,"usgs":true,"family":"Pontolillo","given":"James","email":"jpontoli@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":297214,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86221,"text":"ofr20081212 - 2008 - Potential effects of a scenario earthquake on the economy of southern California: Baseline county-level migration characteristics and trends 1995-2000 and 2001-2010","interactions":[],"lastModifiedDate":"2022-06-10T19:58:07.166407","indexId":"ofr20081212","displayToPublicDate":"2008-09-18T00:00:00","publicationYear":"2008","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":"2008-1212","title":"Potential effects of a scenario earthquake on the economy of southern California: Baseline county-level migration characteristics and trends 1995-2000 and 2001-2010","docAbstract":"The Multi-Hazards Demonstration Project (MHDP) is a collaboration between the U.S. Geological Survey (USGS) and various partners from the public and private sectors and academia, meant to improve Southern California's resiliency to natural hazards. In support of the MHDP objectives, the ShakeOut Scenario was developed. It describes a magnitude 7.8 earthquake along the southernmost 300 kilometers (200 miles) of the San Andreas Fault, identified by geoscientists as a plausible event that will cause moderate to strong shaking over much of the eight-county (Imperial, Kern, Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura) Southern California region. This report uses historical, estimated, and projected population data from several Federal and State data sources to estimate baseline characteristics and trends of the region's population migration (that is, changes in a person's place of residence over time). The analysis characterizes migration by various demographic, economic, family, and household variables for the period 1995-2000. It also uses existing estimates (beginning in 2001) of the three components of population change - births, deaths, and migration - to extrapolate near-term projections of county-level migration trends through 2010. The 2010 date was chosen to provide baseline projections corresponding to a two-year recovery period following the November 2008 date that was selected for the occurrence of the ShakeOut Scenario earthquake. The baseline characteristics and projections shall assist with evaluating the effects of inflow and outflow migration trends for alternative futures in which the simulated M7.8 earthquake either does or does not occur and the impact of the event on housing and jobs, as well as community composition and regional economy changes based on dispersion of intellectual, physical, economic, and cultural capital.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081212","usgsCitation":"Sherrouse, B.C., and Hester, D.J., 2008, Potential effects of a scenario earthquake on the economy of southern California: Baseline county-level migration characteristics and trends 1995-2000 and 2001-2010 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1212, Report: iii, 11 p.; Downloads Directory, https://doi.org/10.3133/ofr20081212.","productDescription":"Report: iii, 11 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1995-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":190817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":402070,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84435.htm"},{"id":11799,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1212/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 33\n ],\n [\n -116,\n 33\n ],\n [\n -116,\n 35.5\n ],\n [\n -119,\n 35.5\n ],\n [\n -119,\n 33\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68391d","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":297216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hester, D. J. 0000-0003-0249-7164 dhester@usgs.gov","orcid":"https://orcid.org/0000-0003-0249-7164","contributorId":2447,"corporation":false,"usgs":true,"family":"Hester","given":"D.","email":"dhester@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297215,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70255620,"text":"70255620 - 2008 - Multiple deleterious effects of experimentally aged sperm in a monogamous bird","interactions":[],"lastModifiedDate":"2024-06-26T15:46:56.129949","indexId":"70255620","displayToPublicDate":"2008-09-16T10:40:12","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Multiple deleterious effects of experimentally aged sperm in a monogamous bird","docAbstract":"Sperm aging is known to be detrimental to reproductive performance. However, this apparently general phenomenon has seldom been studied in an evolutionary context. The negative impact of sperm aging on parental fitness should constitute a strong selective pressure for adaptations to avoid its effects. We studied the impact of sperm aging on black-legged kittiwakes (Rissa tridactyla), a monogamous seabird. Kittiwakes comprise a model system because (i) of evidence that females eject their mates' sperm to prevent fertilization by sperm that would be old and degraded by the time of fertilization and result in reduced reproductive performance and (ii) the lack of extra-pair fertilization in this species makes cryptic female choice an unlikely explanation of postcopulatory sperm ejection by females. We experimentally manipulated the age of the sperm fertilizing kittiwake eggs by fitting males with anti-insemination rings for variable periods of time preceding egg-laying. We found evidence that sperm aging negatively affected four sequential stages of reproduction: fertilization potential, rate of embryonic development, embryonic mortality, and chick condition at hatching. These results may be produced by a continuum of a single process of sperm aging that differentially affects various aspects of development, depending on the degree of damage incurred to the spermatozoa. The marked impact of sperm age on female fitness may thus drive postcopulatory sperm ejection by females. These results provide experimental evidence of deleterious effects of sperm aging on a nondomestic vertebrate, underlining its taxonomic generality and its potential to select for a wide array of adaptations.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.0803067105","usgsCitation":"White, J., Wagner, R., Helfenstein, F., Hatch, S., Mulard, H., Liliana, N., and Danchin, E., 2008, Multiple deleterious effects of experimentally aged sperm in a monogamous bird: PNAS, v. 105, no. 37, p. 13947-13952, https://doi.org/10.1073/pnas.0803067105.","productDescription":"6 p.","startPage":"13947","endPage":"13952","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":476592,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2544559","text":"External Repository"},{"id":430524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"37","noUsgsAuthors":false,"publicationDate":"2008-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Joel","contributorId":60100,"corporation":false,"usgs":false,"family":"White","given":"Joel","email":"","affiliations":[],"preferred":false,"id":904963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Richard H.","contributorId":94943,"corporation":false,"usgs":false,"family":"Wagner","given":"Richard H.","affiliations":[],"preferred":false,"id":904964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helfenstein, F.","contributorId":63922,"corporation":false,"usgs":true,"family":"Helfenstein","given":"F.","email":"","affiliations":[],"preferred":false,"id":904965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott A.","contributorId":201044,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott A.","affiliations":[],"preferred":false,"id":904966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mulard, Herve","contributorId":104602,"corporation":false,"usgs":false,"family":"Mulard","given":"Herve","email":"","affiliations":[],"preferred":false,"id":904967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liliana, Naves.","contributorId":218218,"corporation":false,"usgs":false,"family":"Liliana","given":"Naves.","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":904968,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danchin, Etienne","contributorId":69034,"corporation":false,"usgs":true,"family":"Danchin","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":904969,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":86211,"text":"sir20085091 - 2008 - Resistivity profiling for mapping gravel layers that may control contaminant migration at the Amargosa Desert Research Site, Nevada","interactions":[],"lastModifiedDate":"2020-09-09T15:32:53.196405","indexId":"sir20085091","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-5091","title":"Resistivity profiling for mapping gravel layers that may control contaminant migration at the Amargosa Desert Research Site, Nevada","docAbstract":"Gaseous contaminants, including CFC 113, chloroform, and tritiated compounds, move preferentially in unsaturated subsurface gravel layers away from disposal trenches at a closed low-level radioactive waste-disposal facility in the Amargosa Desert about 17 kilometers south of Beatty, Nevada. Two distinct gravel layers are involved in contaminant transport: a thin, shallow layer between about 0.5 and 2.2 meters below the surface and a layer of variable thickness between about 15 and 30 meters below land surface. From 2003 to 2005, the U.S. Geological Survey used multielectrode DC and AC resistivity surveys to map these gravel layers. Previous core sampling indicates the fine-grained sediments generally have higher water content than the gravel layers or the sediments near the surface. The relatively higher electrical resistivity of the dry gravel layers, compared to that of the surrounding finer sediments, makes the gravel readily mappable using electrical resistivity profiling. The upper gravel layer is not easily distinguished from the very dry, fine-grained deposits at the surface. Two-dimensional resistivity models, however, clearly identify the resistive lower gravel layer, which is continuous near the facility except to the southeast. Multielectrode resistivity surveys provide a practical noninvasive method to image hydrogeologic features in the arid environment of the Amargosa Desert.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085091","usgsCitation":"Lucius, J.E., Abraham, J., and Burton, B., 2008, Resistivity profiling for mapping gravel layers that may control contaminant migration at the Amargosa Desert Research Site, Nevada (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5091, iv, 30 p., https://doi.org/10.3133/sir20085091.","productDescription":"iv, 30 p.","onlineOnly":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":195137,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11789,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5091/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Amargosa Desert Research Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.69581174850464,\n 36.761011583676904\n ],\n [\n -116.69018983840944,\n 36.761011583676904\n ],\n [\n -116.69018983840944,\n 36.76554976089907\n ],\n [\n -116.69581174850464,\n 36.76554976089907\n ],\n [\n -116.69581174850464,\n 36.761011583676904\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629c02","contributors":{"authors":[{"text":"Lucius, Jeffrey E. lucius@usgs.gov","contributorId":817,"corporation":false,"usgs":true,"family":"Lucius","given":"Jeffrey","email":"lucius@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":297192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":297194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":297193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86204,"text":"sir20085147 - 2008 - Regression Analysis of Stage Variability for West-Central Florida Lakes","interactions":[],"lastModifiedDate":"2012-02-10T00:11:42","indexId":"sir20085147","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-5147","title":"Regression Analysis of Stage Variability for West-Central Florida Lakes","docAbstract":"The variability in a lake's stage depends upon many factors, including surface-water flows, meteorological conditions, and hydrogeologic characteristics near the lake. An understanding of the factors controlling lake-stage variability for a population of lakes may be helpful to water managers who set regulatory levels for lakes. The goal of this study is to determine whether lake-stage variability can be predicted using multiple linear regression and readily available lake and basin characteristics defined for each lake.\r\n\r\nRegressions were evaluated for a recent 10-year period (1996-2005) and for a historical 10-year period (1954-63). Ground-water pumping is considered to have affected stage at many of the 98 lakes included in the recent period analysis, and not to have affected stage at the 20 lakes included in the historical period analysis. For the recent period, regression models had coefficients of determination (R2) values ranging from 0.60 to 0.74, and up to five explanatory variables. Standard errors ranged from 21 to 37 percent of the average stage variability. Net leakage was the most important explanatory variable in regressions describing the full range and low range in stage variability for the recent period. The most important explanatory variable in the model predicting the high range in stage variability was the height over median lake stage at which surface-water outflow would occur. Other explanatory variables in final regression models for the recent period included the range in annual rainfall for the period and several variables related to local and regional hydrogeology: (1) ground-water pumping within 1 mile of each lake, (2) the amount of ground-water inflow (by category), (3) the head gradient between the lake and the Upper Floridan aquifer, and (4) the thickness of the intermediate confining unit. Many of the variables in final regression models are related to hydrogeologic characteristics, underscoring the importance of ground-water exchange in controlling the stage of karst lakes in Florida. Regression equations were used to predict lake-stage variability for the recent period for 12 additional lakes, and the median difference between predicted and observed values ranged from 11 to 23 percent.\r\n\r\nCoefficients of determination for the historical period were considerably lower (maximum R2 of 0.28) than for the recent period. Reasons for these low R2 values are probably related to the small number of lakes (20) with stage data for an equivalent time period that were unaffected by ground-water pumping, the similarity of many of the lake types (large surface-water drainage lakes), and the greater uncertainty in defining historical basin characteristics. The lack of lake-stage data unaffected by ground-water pumping and the poor regression results obtained for that group of lakes limit the ability to predict natural lake-stage variability using this method in west-central Florida.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085147","collaboration":"Prepared in cooperation with Southwest Florida Water Management District","usgsCitation":"Sacks, L.A., Ellison, D.L., and Swancar, A., 2008, Regression Analysis of Stage Variability for West-Central Florida Lakes: U.S. Geological Survey Scientific Investigations Report 2008-5147, iv, 34 p., https://doi.org/10.3133/sir20085147.","productDescription":"iv, 34 p.","onlineOnly":"Y","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":11781,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5147/","linkFileType":{"id":5,"text":"html"}},{"id":190664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83,26.75 ], [ -83,28.75 ], [ -81.25,28.75 ], [ -81.25,26.75 ], [ -83,26.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f549","contributors":{"authors":[{"text":"Sacks, Laura A.","contributorId":19134,"corporation":false,"usgs":true,"family":"Sacks","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":297172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Donald L.","contributorId":98401,"corporation":false,"usgs":true,"family":"Ellison","given":"Donald","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":297173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":297171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86207,"text":"ds374 - 2008 - Combined high-resolution LIDAR topography and multibeam bathymetry for northern Resurrection Bay, Seward, Alaska","interactions":[],"lastModifiedDate":"2023-11-02T16:17:22.415872","indexId":"ds374","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"374","displayTitle":"Combined High-Resolution LIDAR Topography and Multibeam Bathymetry for Northern Resurrection Bay, Seward, Alaska","title":"Combined high-resolution LIDAR topography and multibeam bathymetry for northern Resurrection Bay, Seward, Alaska","docAbstract":"A new Digital Elevation Model was created using the best available high-resolution topography and multibeam bathymetry surrounding the area of Seward, Alaska. Datasets of (1) LIDAR topography collected for the Kenai Watershed Forum, (2) Seward harbor soundings from the U.S. Army Corp of Engineers, and (3) multibeam bathymetry from the National Oceanic and Atmospheric Administration contributed to the final combined product. These datasets were placed into a common coordinate system, horizontal datum, vertical datum, and data format prior to being combined. The projected coordinate system of Universal Transverse Mercator Zone 6 North American Datum of 1927 was used for the horizontal coordinates. Z-values in meters were referenced to the tidal datum of Mean High Water. Gaps between the datasets were interpolated to create the final seamless 5-meter grid covering the area of interest around Seward, Alaska.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds374","usgsCitation":"Labay, K., and Haeussler, P.J., 2008, Combined high-resolution LIDAR topography and multibeam bathymetry for northern Resurrection Bay, Seward, Alaska: U.S. Geological Survey Data Series 374, Report: iv, 7 p.; Data Sets, https://doi.org/10.3133/ds374.","productDescription":"Report: iv, 7 p.; Data Sets","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":422343,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84419.htm","linkFileType":{"id":5,"text":"html"}},{"id":11785,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/374/","linkFileType":{"id":5,"text":"html"}},{"id":195522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Seward","otherGeospatial":"Resurrection Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.50516282887597,\n 60.18078902313593\n ],\n [\n -149.50516282887597,\n 60.062484138069465\n ],\n [\n -149.29391266292805,\n 60.062484138069465\n ],\n [\n -149.29391266292805,\n 60.18078902313593\n ],\n [\n -149.50516282887597,\n 60.18078902313593\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae72d","contributors":{"authors":[{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":297181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":297180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86209,"text":"ofr20081222 - 2008 - Potential effects of a scenario earthquake on the economy of southern California: Small business exposure and sensitivity analysis to a magnitude 7.8 earthquake","interactions":[],"lastModifiedDate":"2022-06-08T20:59:18.830262","indexId":"ofr20081222","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-1222","title":"Potential effects of a scenario earthquake on the economy of southern California: Small business exposure and sensitivity analysis to a magnitude 7.8 earthquake","docAbstract":"The Multi-Hazards Demonstration Project (MHDP) is a collaboration between the U.S. Geological Survey (USGS) and various partners from the public and private sectors and academia, meant to improve Southern California's resiliency to natural hazards (Jones and others, 2007). In support of the MHDP objectives, the ShakeOut Scenario was developed. It describes a magnitude 7.8 (M7.8) earthquake along the southernmost 300 kilometers (200 miles) of the San Andreas Fault, identified by geoscientists as a plausible event that will cause moderate to strong shaking over much of the eight-county (Imperial, Kern, Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura) Southern California region. This report contains an exposure and sensitivity analysis of small businesses in terms of labor and employment statistics. Exposure is measured as the absolute counts of labor market variables anticipated to experience each level of Instrumental Intensity (a proxy measure of damage). Sensitivity is the percentage of the exposure of each business establishment size category to each Instrumental Intensity level. The analysis concerns the direct effect of the earthquake on small businesses.\r\n\r\nThe analysis is inspired by the Bureau of Labor Statistics (BLS) report that analyzed the labor market losses (exposure) of a M6.9 earthquake on the Hayward fault by overlaying geocoded labor market data on Instrumental Intensity values. The method used here is influenced by the ZIP-code-level data provided by the California Employment Development Department (CA EDD), which requires the assignment of Instrumental Intensities to ZIP codes. The ZIP-code-level labor market data includes the number of business establishments, employees, and quarterly payroll categorized by business establishment size.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081222","usgsCitation":"Sherrouse, B.C., Hester, D.J., and Wein, A., 2008, Potential effects of a scenario earthquake on the economy of southern California: Small business exposure and sensitivity analysis to a magnitude 7.8 earthquake (Version 1.0): U.S. Geological Survey Open-File Report 2008-1222, iv, 12 p., https://doi.org/10.3133/ofr20081222.","productDescription":"iv, 12 p.","onlineOnly":"Y","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":195757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":401952,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84413.htm"},{"id":11787,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1222/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.92675781249999,\n 32.69486597787505\n ],\n [\n -114.41162109375,\n 32.69486597787505\n ],\n [\n -114.41162109375,\n 35.15584570226544\n ],\n [\n -119.92675781249999,\n 35.15584570226544\n ],\n [\n -119.92675781249999,\n 32.69486597787505\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db683953","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":297188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hester, D. J. 0000-0003-0249-7164 dhester@usgs.gov","orcid":"https://orcid.org/0000-0003-0249-7164","contributorId":2447,"corporation":false,"usgs":true,"family":"Hester","given":"D.","email":"dhester@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M.","contributorId":12007,"corporation":false,"usgs":true,"family":"Wein","given":"Anne M.","affiliations":[],"preferred":false,"id":297187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86210,"text":"ofr20081211 - 2008 - Potential effects of a scenario earthquake on the economy of southern California: Labor market exposure and sensitivity analysis to a magnitude 7.8 earthquake","interactions":[],"lastModifiedDate":"2022-06-09T19:34:11.13795","indexId":"ofr20081211","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-1211","title":"Potential effects of a scenario earthquake on the economy of southern California: Labor market exposure and sensitivity analysis to a magnitude 7.8 earthquake","docAbstract":"The Multi-Hazards Demonstration Project (MHDP) is a collaboration between the U.S. Geological Survey (USGS) and various partners from the public and private sectors and academia, meant to improve Southern California's resiliency to natural hazards (Jones and others, 2007). In support of the MHDP objectives, the ShakeOut Scenario was developed. It describes a magnitude 7.8 (M7.8) earthquake along the southernmost 300 kilometers (200 miles) of the San Andreas Fault, identified by geoscientists as a plausible event that will cause moderate to strong shaking over much of the eight-county (Imperial, Kern, Los Angeles, Orange, Riverside, San Bernardino, San Diego, and Ventura) Southern California region. This report contains an exposure and sensitivity analysis of economic Super Sectors in terms of labor and employment statistics. Exposure is measured as the absolute counts of labor market variables anticipated to experience each level of Instrumental Intensity (a proxy measure of damage). Sensitivity is the percentage of the exposure of each Super Sector to each Instrumental Intensity level. The analysis concerns the direct effect of the scenario earthquake on economic sectors and provides a baseline for the indirect and interactive analysis of an input-output model of the regional economy.\r\n\r\nThe analysis is inspired by the Bureau of Labor Statistics (BLS) report that analyzed the labor market losses (exposure) of a M6.9 earthquake on the Hayward fault by overlaying geocoded labor market data on Instrumental Intensity values. The method used here is influenced by the ZIP-code-level data provided by the California Employment Development Department (CA EDD), which requires the assignment of Instrumental Intensities to ZIP codes. The ZIP-code-level labor market data includes the number of business establishments, employees, and quarterly payroll categorized by the North American Industry Classification System.\r\n\r\nAccording to the analysis results, nearly 225,000 business establishments, or 44 percent of all establishments, would experience Instrumental Intensities between VII (7) and X (10). This represents more than 4 million employees earning over $45 billion in quarterly payroll. Over 57,000 of these establishments, employing over 1 million employees earning over $10 billion in quarterly payroll, would experience Instrumental Intensities of IX (9) or X (10). Based upon absolute counts and percentages, the Trade, Transportation, and Utilities Super Sector and the Manufacturing Super Sector are estimated to have the greatest exposure and sensitivity respectively. The Information and the Natural Resources and Mining Super Sectors are estimated to be the least impacted. Areas estimated to experience an Instrumental Intensity of X (10) account for approximately 3 percent of the region's labor market.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081211","usgsCitation":"Sherrouse, B.C., Hester, D.J., and Wein, A., 2008, Potential effects of a scenario earthquake on the economy of southern California: Labor market exposure and sensitivity analysis to a magnitude 7.8 earthquake (Version 1.0): U.S. Geological Survey Open-File Report 2008-1211, iv, 26 p., https://doi.org/10.3133/ofr20081211.","productDescription":"iv, 26 p.","onlineOnly":"Y","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":195263,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11788,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1211/","linkFileType":{"id":5,"text":"html"}},{"id":402023,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_84412.htm"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.61914062499999,\n 32.63937487360669\n ],\n [\n -114.43359375,\n 32.63937487360669\n ],\n [\n -114.43359375,\n 35.567980458012094\n ],\n [\n -119.61914062499999,\n 35.567980458012094\n ],\n [\n -119.61914062499999,\n 32.63937487360669\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad5e4b07f02db68394c","contributors":{"authors":[{"text":"Sherrouse, Benson C.","contributorId":37831,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":297191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hester, D. J. 0000-0003-0249-7164 dhester@usgs.gov","orcid":"https://orcid.org/0000-0003-0249-7164","contributorId":2447,"corporation":false,"usgs":true,"family":"Hester","given":"D.","email":"dhester@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":297189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M.","contributorId":12007,"corporation":false,"usgs":true,"family":"Wein","given":"Anne M.","affiliations":[],"preferred":false,"id":297190,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86203,"text":"sir20085127 - 2008 - Channel Evolution on the Lower Elwha River, Washington, 1939-2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"sir20085127","displayToPublicDate":"2008-09-16T00:00:00","publicationYear":"2008","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":"2008-5127","title":"Channel Evolution on the Lower Elwha River, Washington, 1939-2006","docAbstract":"Analyses of historical aerial photographs of the lower Elwha River, Clallam County, Washington, reveal rates and patterns of channel change in this dammed, anabranching river between 1939 and 2006. Absolute positional changes of the active-floodplain margins, which commonly exceeded 50 m over that interval, have exceeded 400 m locally. Annualized rates of channel movement were typically ~2 to 10 m/yr; higher annualized rates over some time intervals are attributable to the formation of new channels by episodic avulsion. Channel movement by more gradual lateral meander migration was also common. Anthropogenic modification of the floodplain between the 1940s and 1980s substantially altered channel form and position. \r\n\r\nThis analysis of rates and patterns of channel change over nearly 70 years on the lower Elwha River is intended to characterize the evolution of the river throughout most of the time interval when two large dams have been in place upstream. Channel morphology and rates of channel movement are expected to change significantly in response to removal of the dams and re-establishment of the upstream sediment supply during a major river-restoration project. ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085127","usgsCitation":"Draut, A.E., Logan, J., McCoy, R.E., McHenry, M., and Warrick, J., 2008, Channel Evolution on the Lower Elwha River, Washington, 1939-2006 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5127, iv, 26 p., https://doi.org/10.3133/sir20085127.","productDescription":"iv, 26 p.","onlineOnly":"Y","temporalStart":"1939-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":11780,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5127/","linkFileType":{"id":5,"text":"html"}},{"id":195262,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.6,48.083333333333336 ], [ -123.6,48.166666666666664 ], [ -123.51666666666667,48.166666666666664 ], [ -123.51666666666667,48.083333333333336 ], [ -123.6,48.083333333333336 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5c2d","contributors":{"authors":[{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B.","contributorId":34470,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua B.","affiliations":[],"preferred":false,"id":297166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCoy, Randall E.","contributorId":45795,"corporation":false,"usgs":true,"family":"McCoy","given":"Randall","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McHenry, Michael","contributorId":91198,"corporation":false,"usgs":true,"family":"McHenry","given":"Michael","affiliations":[],"preferred":false,"id":297169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":48255,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","affiliations":[],"preferred":false,"id":297168,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86198,"text":"sir20085015 - 2008 - Hydrochemical Regions of the Glacial Aquifer System, Northern United States, and Their Environmental and Water-Quality Characteristics","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20085015","displayToPublicDate":"2008-09-13T00:00:00","publicationYear":"2008","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":"2008-5015","title":"Hydrochemical Regions of the Glacial Aquifer System, Northern United States, and Their Environmental and Water-Quality Characteristics","docAbstract":"The glacial aquifer system in the United States is a large (953,000 square miles) regional aquifer system of heterogeneous composition. As described in this report, the glacial aquifer system includes all unconsolidated geologic material above bedrock that lies on or north of the line of maximum glacial advance within the United States. Examining ground-water quality on a regional scale indicates that variations in the concentrations of major and minor ions and some trace elements most likely are the result of natural variations in the geologic and physical environment. Study of the glacial aquifer system was designed around a regional framework based on the assumption that two primary characteristics of the aquifer system can affect water quality: intrinsic susceptibility (hydraulic properties) and vulnerability (geochemical properties). The hydrochemical regions described in this report were developed to identify and explain regional spatial variations in ground-water quality in the glacial aquifer system within the hypothetical framework context. Data analyzed for this study were collected from 1991 to 2003 at 1,716 wells open to the glacial aquifer system.\r\n\r\nCluster analysis was used to group wells with similar ground-water concentrations of calcium, chloride, fluoride, magnesium, potassium, sodium, sulfate, and bicarbonate into five unique groups. Maximum Likelihood Classification was used to make the extrapolation from clustered groups of wells, defined by points, to areas of similar water quality (hydrochemical regions) defined in a geospatial model. Spatial data that represented average annual precipitation, average annual temperature, land use, land-surface slope, vertical soil permeability, average soil clay content, texture of surficial deposits, type of surficial deposit, and potential for ground-water recharge were used in the Maximum Likelihood Classification to classify the areas so the characteristics of the hydrochemical regions would resemble the characteristics of the clusters. The result of the Maximum Likelihood Classification is a map showing five hydrochemical regions of the glacial aquifer system.\r\n\r\nStatistical analysis of ion concentrations (calcium, chloride, fluoride, magnesium, sodium, potassium, sulfate, and bicarbonate) in samples collected from wells completed in the glacial aquifer system illustrates that variations in water quality can be explained, in part, by related environmental characteristics that control the movement of ground water through the aquifer system. A comparison of median concentrations of chemical constituents in ground water among the five hydrochemical regions indicates that ground water in the Midwestern Agricultural Region, the Urban-Influenced Region, and the Western Agriculture and Grassland Region has the highest concentrations of major and minor ions, whereas ground water in the Northern and Great Lakes Forested Region and the Mountain and Coastal Forested Region has the lowest concentrations of these ions. Median concentrations of barium, arsenic, lithium, boron, strontium, and nitrite plus nitrate as nitrogen also are significantly different among the hydrochemical regions.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085015","usgsCitation":"Arnold, T., Warner, K., Groschen, G.E., Caldwell, J.P., and Kalkhoff, S.J., 2008, Hydrochemical Regions of the Glacial Aquifer System, Northern United States, and Their Environmental and Water-Quality Characteristics (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5015, viii, 84 p., https://doi.org/10.3133/sir20085015.","productDescription":"viii, 84 p.","temporalStart":"1991-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":195532,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11775,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5015/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,35 ], [ -125,50 ], [ -65,50 ], [ -65,35 ], [ -125,35 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628df0","contributors":{"authors":[{"text":"Arnold, Terri 0000-0003-1406-6054 tlarnold@usgs.gov","orcid":"https://orcid.org/0000-0003-1406-6054","contributorId":1598,"corporation":false,"usgs":false,"family":"Arnold","given":"Terri","email":"tlarnold@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":false,"id":297146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, Kelly L. klwarner@usgs.gov","contributorId":655,"corporation":false,"usgs":true,"family":"Warner","given":"Kelly L.","email":"klwarner@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Groschen, George E.","contributorId":99132,"corporation":false,"usgs":true,"family":"Groschen","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":297149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, James P.","contributorId":46599,"corporation":false,"usgs":true,"family":"Caldwell","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":297148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kalkhoff, Stephen J. 0000-0003-4110-1716 sjkalkho@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-1716","contributorId":1731,"corporation":false,"usgs":true,"family":"Kalkhoff","given":"Stephen","email":"sjkalkho@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297147,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198269,"text":"70198269 - 2008 - Shallow-conduit dynamics at Stromboli Volcano, Italy, imaged from waveform inversions","interactions":[],"lastModifiedDate":"2019-03-06T09:53:31","indexId":"70198269","displayToPublicDate":"2008-09-12T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5011,"text":"Geological Society of London Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Shallow-conduit dynamics at Stromboli Volcano, Italy, imaged from waveform inversions","docAbstract":"Modelling of Very-Long-Period (VLP) seismic data recorded during explosive activity at Stromboli in 1997 provides an image of the uppermost 1 km of its volcanic plumbing system. Two distinct dyke-like conduit structures are identified, each representative of explosive eruptions from two different vents located near the northern and southern perimeters of the summit crater. Observed volumetric changes in the dykes are viewed as the result of a piston-like action of the magma associated with the disruption of a gas slug transiting through discontinuities in the dyke apertures. Accompanying these volumetric source components are single vertical forces resulting from an exchange of linear momentum between the source and the Earth. In the dyke system underlying the northern vent, a primary disruption site is observed at an elevation near 440 m where a bifurcation in the conduit occurs. At a depth of 80 m below sea level, a sharp corner in the conduit marks another location where the elastic response of the solid to the action of the upper source induces pressure and momentum changes in the magma. In the conduit underlying the southern vent, the junction of two inclined dykes with a sub-vertical dyke at 520 m elevation is a primary site of gas slug disruption, and another conduit corner 280 m below sea level represents a coupling location between the elastic response of the solid and fluid motion.
","language":"English","publisher":"The Geological Society of London","publisherLocation":"London","doi":"10.1144/SP307.5","usgsCitation":"Chouet, B.A., and Martini, M., 2008, Shallow-conduit dynamics at Stromboli Volcano, Italy, imaged from waveform inversions: Geological Society of London Special Publications, v. 307, p. 57-84, https://doi.org/10.1144/SP307.5.","productDescription":"28 p.","startPage":"57","endPage":"84","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":356021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Stromboli","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 15.213661193847658,\n 38.81189098781871\n ],\n [\n 15.190315246582033,\n 38.79771102715645\n ],\n [\n 15.184478759765627,\n 38.790753788294424\n ],\n [\n 15.191688537597654,\n 38.7800490179011\n ],\n [\n 15.201988220214846,\n 38.77656962147866\n ],\n [\n 15.215721130371096,\n 38.77041335043523\n ],\n [\n 15.226364135742188,\n 38.77442837007637\n ],\n [\n 15.232543945312498,\n 38.78459874169886\n ],\n [\n 15.240097045898438,\n 38.79450007821985\n ],\n [\n 15.24421691894531,\n 38.80573776659133\n ],\n [\n 15.228080749511719,\n 38.812426025416734\n ],\n [\n 15.216751098632812,\n 38.81296105899589\n ],\n [\n 15.213661193847658,\n 38.81189098781871\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"307","noUsgsAuthors":false,"publicationDate":"2008-09-12","publicationStatus":"PW","scienceBaseUri":"5b98bcd8e4b0702d0e845540","contributors":{"authors":[{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martini, Marcello","contributorId":206498,"corporation":false,"usgs":false,"family":"Martini","given":"Marcello","email":"","affiliations":[],"preferred":false,"id":740819,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":86188,"text":"fs20083061 - 2008 - Moderate Resolution Imaging Spectroradiometer (MODIS) Overview","interactions":[],"lastModifiedDate":"2019-09-19T09:05:12","indexId":"fs20083061","displayToPublicDate":"2008-09-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3061","title":"Moderate Resolution Imaging Spectroradiometer (MODIS) Overview","docAbstract":"The Moderate Resolution Imaging Spectroradiometer (MODIS) is an instrument that collects remotely sensed data used by scientists for monitoring, modeling, and assessing the effects of natural processes and human actions on the Earth's surface. The continual calibration of the MODIS instruments, the refinement of algorithms used to create higher-level products, and the ongoing product validation make MODIS images a valuable time series (2000-present) of geophysical and biophysical land-surface measurements. Carried on two National Aeronautics and Space Administration (NASA) Earth Observing System (EOS) satellites, MODIS acquires morning (EOS-Terra) and afternoon (EOS-Aqua) views almost daily. Terra data acquisitions began in February 2000 and Aqua data acquisitions began in July 2002. Land data are generated only as higher-level products, removing the burden of common types of data processing from the user community. MODIS-based products describing ecological dynamics, radiation budget, and land cover are projected onto a sinusoidal mapping grid and distributed as 10- by 10-degree tiles at 250-, 500-, or 1,000-meter spatial resolution. Some products are also created on a 0.05-degree geographic grid to support climate modeling studies. All MODIS products are distributed in the Hierarchical Data Format-Earth Observing System (HDF-EOS) file format and are available through file transfer protocol (FTP) or on digital video disc (DVD) media.\r\n\r\nVersions 4 and 5 of MODIS land data products are currently available and represent 'validated' collections defined in stages of accuracy that are based on the number of field sites and time periods for which the products have been validated. Version 5 collections incorporate the longest time series of both Terra and Aqua MODIS data products.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083061","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, Moderate Resolution Imaging Spectroradiometer (MODIS) Overview (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3061, 2 p., https://doi.org/10.3133/fs20083061.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":124650,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3061.jpg"},{"id":11765,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3061/","linkFileType":{"id":5,"text":"html"}},{"id":367523,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3061/pdf/fs2008-3061.pdf"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db6996c7","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534980,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86189,"text":"ofr20071440 - 2008 - Users Manual for the Geospatial Stream Flow Model (GeoSFM)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:26","indexId":"ofr20071440","displayToPublicDate":"2008-09-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1440","title":"Users Manual for the Geospatial Stream Flow Model (GeoSFM)","docAbstract":"The monitoring of wide-area hydrologic events requires the manipulation of large amounts of geospatial and time series data into concise information products that characterize the location and magnitude of the event. To perform these manipulations, scientists at the U.S. Geological Survey Center for Earth Resources Observation and Science (EROS), with the cooperation of the U.S. Agency for International Development, Office of Foreign Disaster Assistance (USAID/OFDA), have implemented a hydrologic modeling system. The system includes a data assimilation component to generate data for a Geospatial Stream Flow Model (GeoSFM) that can be run operationally to identify and map wide-area streamflow anomalies. GeoSFM integrates a geographical information system (GIS) for geospatial preprocessing and postprocessing tasks and hydrologic modeling routines implemented as dynamically linked libraries (DLLs) for time series manipulations. Model results include maps that depicting the status of streamflow and soil water conditions. This Users Manual provides step-by-step instructions for running the model and for downloading and processing the input data required for initial model parameterization and daily operation.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071440","collaboration":"Prepared in cooperation with the U.S. Agency for International Development, Office of Foreign Disaster Assistance (USAID/OFDA)","usgsCitation":"Artan, G.A., Asante, K., Smith, J., Pervez, M., Entenmann, D., Verdin, J.P., and Rowland, J., 2008, Users Manual for the Geospatial Stream Flow Model (GeoSFM) (Version 1.0): U.S. Geological Survey Open-File Report 2007-1440, iv, 146 p., https://doi.org/10.3133/ofr20071440.","productDescription":"iv, 146 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":195502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11766,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1440/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db685872","contributors":{"authors":[{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":297123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asante, Kwabena 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":65948,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","affiliations":[],"preferred":false,"id":297128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Jodie","contributorId":29531,"corporation":false,"usgs":true,"family":"Smith","given":"Jodie","email":"","affiliations":[],"preferred":false,"id":297127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":297124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Entenmann, Debbie 0000-0002-8841-697X","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":8194,"corporation":false,"usgs":true,"family":"Entenmann","given":"Debbie","affiliations":[],"preferred":false,"id":297126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":297122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":3108,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":297125,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":86187,"text":"fs20083066 - 2008 - Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Overview","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"fs20083066","displayToPublicDate":"2008-09-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-3066","title":"Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Overview","docAbstract":"The National Aeronautics and Space Administration (NASA) launched Terra, the Earth Observing System's (EOS) flagship satellite platform on December 18, 1999. The polar-orbiting Terra contains five remote sensing instruments, which enable the scientific study and analyses of global terrestrial processes and manifestations of global change. One of the five instruments is the multispectral Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which is built in Japan by a consortium of government, industry, and research groups. It has three spectral bands in the visible near-infrared region (VNIR), six bands in the shortwave infrared region (SWIR), and five bands in the thermal infrared region (TIR), with 15-, 30-, and 90-meter ground resolutions, respectively. This combination of wide spectral coverage and high spatial resolution allows ASTER to discriminate among a wide variety of surface materials. The VNIR subsystem also has a backward-viewing telescope for high-resolution (15-meter) stereoscopic observation in the along-track direction, which facilitates the generation of digital elevation models (DEM).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20083066","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2008, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Overview (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3066, 2 p., https://doi.org/10.3133/fs20083066.","productDescription":"2 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":126304,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3066.jpg"},{"id":11764,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3066/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db6980d7","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534979,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":86185,"text":"sir20085135 - 2008 - Portable chamber measurements of evapotranspiration at the Amargosa Desert Research Site near Beatty, Nye County, Nevada, 2003-06","interactions":[],"lastModifiedDate":"2019-08-20T10:30:15","indexId":"sir20085135","displayToPublicDate":"2008-09-09T00:00:00","publicationYear":"2008","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":"2008-5135","title":"Portable chamber measurements of evapotranspiration at the Amargosa Desert Research Site near Beatty, Nye County, Nevada, 2003-06","docAbstract":"Portable chamber measurements of evapotranspiration (ET) were made at the U.S. Geological Survey's Amargosa Desert Research Site in southern Nevada to help quantify component- and landscape-scale contributions to ET in an arid environment. Evapotranspiration data were collected approximately every 3 months from 2003 to 2006. Chamber measurements of ET were partitioned into bare-soil evaporation and mixed-species transpiration components. The component-scale ET fluxes from native shrubs typically surpassed those from bare soil by as much as a factor of four. Component-scale ET fluxes were extrapolated to landscape-scale ET using a one-layer, multi-component canopy model. Landscape-scale ET fluxes predominantly were controlled by bare-soil evaporation. Bare soil covered 94 percent of the landscape on average and contributed about 70 percent of the landscape-scale vapor flux. Creosote bush, an evergreen shrub, accounted for about 90 percent of transpiration on average due to its dominance across the landscape (80 percent of the 6 percent shrub cover) and evergreen character. ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085135","usgsCitation":"Garcia, C.A., Johnson, M.J., Andraski, B.J., Halford, K.J., and Mayers, C.J., 2008, Portable chamber measurements of evapotranspiration at the Amargosa Desert Research Site near Beatty, Nye County, Nevada, 2003-06: U.S. Geological Survey Scientific Investigations Report 2008-5135, iv, 11 p., https://doi.org/10.3133/sir20085135.","productDescription":"iv, 11 p.","additionalOnlineFiles":"Y","temporalStart":"2003-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":190666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11762,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5135/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","county":"Nye County","city":"Beatty","otherGeospatial":"Amargosa Desert Research Site","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.25,36 ], [ -117.25,37.25 ], [ -115.75,37.25 ], [ -115.75,36 ], [ -117.25,36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e7aa","contributors":{"authors":[{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michael J. johnsonm@usgs.gov","contributorId":2282,"corporation":false,"usgs":true,"family":"Johnson","given":"Michael","email":"johnsonm@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":297114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":297111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":297112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":94745,"corporation":false,"usgs":true,"family":"Mayers","given":"C.","email":"cjmayers@usgs.gov","middleInitial":"Justin","affiliations":[],"preferred":false,"id":297115,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":86175,"text":"sir20085123 - 2008 - Characterization of Suspended-Sediment Loading to and from John Redmond Reservoir, East-Central Kansas, 2007-2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:22","indexId":"sir20085123","displayToPublicDate":"2008-09-09T00:00:00","publicationYear":"2008","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":"2008-5123","title":"Characterization of Suspended-Sediment Loading to and from John Redmond Reservoir, East-Central Kansas, 2007-2008","docAbstract":"Storage capacity in John Redmond Reservoir is being lost to sedimentation more rapidly than in other federal impoundments in Kansas. The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, initiated a study to characterize suspended-sediment loading to and from John Redmond Reservoir from February 21, 2007, through February 21, 2008. Turbidity sensors were installed at two U.S. Geological Survey stream gages upstream (Neosho River near Americus and the Cottonwood River near Plymouth) and one stream gage downstream (Neosho River at Burlington) from the reservoir to compute continuous, real-time (15-minute) measurements of suspended-sediment concentration and loading.\r\n\r\nAbout 1,120,000 tons of suspended-sediment were transported to, and 100,700 tons were transported from John Redmond Reservoir during the study period. Dependent on the bulk density of sediment stored in the reservoir, 5.0 to 1.4 percent of the storage in the John Redmond conservation pool was lost during the study period, with an average deposition of 3.4 to 1.0 inches. Nearly all (98-99 percent) of the incoming sediment load was transported during 9 storms which occurred 25 to 27 percent of the time. The largest storm during the study period (peak-flow recurrence interval of about 4.6-4.9 years) transported about 37 percent of the sediment load to the reservoir. Suspended-sediment yield from the unregulated drainage area upstream from the Neosho River near Americus was 530 tons per square mile, compared to 400 tons per square mile upstream from the Cottonwood River near Plymouth.\r\n\r\nComparison of historical (1964-78) to current (2007) sediment loading estimates indicate statistically insignificant (<90 percent confidence) differences at the Neosho River near Americus and the Cottonwood River near Plymouth, but a significant (>99 percent) decrease in sediment loading at the Neosho River at Burlington. Ninety-percent confidence intervals of streamflow-derived estimates of total sediment load were 7 to 21 times larger than turbidity-derived estimates. Results from this study can be used by natural resource managers to calibrate sediment models and estimate the ability of John Redmond Reservoir to support designated uses into the future.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085123","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Lee, C., Rasmussen, P.P., and Ziegler, A., 2008, Characterization of Suspended-Sediment Loading to and from John Redmond Reservoir, East-Central Kansas, 2007-2008 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5123, vi, 26 p., https://doi.org/10.3133/sir20085123.","productDescription":"vi, 26 p.","temporalStart":"2007-02-21","temporalEnd":"2008-02-21","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":124401,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5123.jpg"},{"id":11752,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5123/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.75,37.75 ], [ -97.75,39 ], [ -95.5,39 ], [ -95.5,37.75 ], [ -97.75,37.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b5e4b07f02db5cb27f","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":297074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":297073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":297072,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":86174,"text":"ofr20071441 - 2008 - Technical Manual for the Geospatial Stream Flow Model (GeoSFM)","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"ofr20071441","displayToPublicDate":"2008-09-09T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1441","title":"Technical Manual for the Geospatial Stream Flow Model (GeoSFM)","docAbstract":"The monitoring of wide-area hydrologic events requires the use of geospatial and time series data available in near-real time. These data sets must be manipulated into information products that speak to the location and magnitude of the event. Scientists at the U.S. Geological Survey Earth Resources Observation and Science (USGS EROS) Center have implemented a hydrologic modeling system which consists of an operational data processing system and the Geospatial Stream Flow Model (GeoSFM). The data processing system generates daily forcing evapotranspiration and precipitation data from various remotely sensed and ground-based data sources. To allow for rapid implementation in data scarce environments, widely available terrain, soil, and land cover data sets are used for model setup and initial parameter estimation. GeoSFM performs geospatial preprocessing and postprocessing tasks as well as hydrologic modeling tasks within an ArcView GIS environment. The integration of GIS routines and time series processing routines is achieved seamlessly through the use of dynamically linked libraries (DLLs) embedded within Avenue scripts. GeoSFM is run operationally to identify and map wide-area streamflow anomalies. Daily model results including daily streamflow and soil water maps are disseminated through Internet map servers, flood hazard bulletins and other media.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071441","collaboration":"Prepared in cooperation with the U.S. Agency for International Development, Office of Foreign Disaster Assistance (USAID/OFDA)","usgsCitation":"Asante, K.O., Artan, G.A., Pervez, M., Bandaragoda, C., and Verdin, J.P., 2008, Technical Manual for the Geospatial Stream Flow Model (GeoSFM) (Version 1.0): U.S. Geological Survey Open-File Report 2007-1441, iv, 65 p., https://doi.org/10.3133/ofr20071441.","productDescription":"iv, 65 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":190641,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11751,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1441/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa1f7","contributors":{"authors":[{"text":"Asante, Kwabena O. 0000-0001-5408-1852","orcid":"https://orcid.org/0000-0001-5408-1852","contributorId":81578,"corporation":false,"usgs":true,"family":"Asante","given":"Kwabena","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":297071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Artan, Guleid A. 0000-0001-8409-6182 gartan@usgs.gov","orcid":"https://orcid.org/0000-0001-8409-6182","contributorId":2938,"corporation":false,"usgs":true,"family":"Artan","given":"Guleid","email":"gartan@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":297068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":297069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bandaragoda, Christina","contributorId":27951,"corporation":false,"usgs":true,"family":"Bandaragoda","given":"Christina","affiliations":[],"preferred":false,"id":297070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":297067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}