{"pageNumber":"974","pageRowStart":"24325","pageSize":"25","recordCount":40811,"records":[{"id":5224643,"text":"5224643 - 2006 - Abundance of ringed seals (<i>Pusa hispida</i>) in the fjords of Spitsbergen, Svalbard, during the peak molting period","interactions":[],"lastModifiedDate":"2017-05-10T15:59:13","indexId":"5224643","displayToPublicDate":"2010-06-16T12:18:29","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of ringed seals (<i>Pusa hispida</i>) in the fjords of Spitsbergen, Svalbard, during the peak molting period","docAbstract":"<p><span>Ringed seal (</span><i>Pusa hispida</i><span>) abundance in Spitsbergen, Svalbard, was estimated during the peak molting period </span><i>via</i><span> aerial, digital photographic surveys. A total of 9,145 images, covering 41.7%–100% of the total fast-ice cover (1,496 km</span><sup>2</sup><span>) of 18 different fjords and bays, were inspected for the presence of ringed seals. A total of 1,708 seals were counted, and when accounting for ice areas that were not covered by images, a total of 3,254 (95% CI: 3,071–3,449) ringed seals were estimated to be hauled out during the surveys. Extensive behavioral data from radio-tagged ringed seals (collected in a companion study) from one of the highest density fjords during the molting period were used to create a model that predicts the proportion of seals hauled out on any given date, time of day, and under various meteorological conditions. Applying this model to the count data from each fjord, we estimated that a total of 7,585 (95% CI: 6,332–9,085) ringed seals were present in the surveyed area during the peak molting period. Data on interannual variability in ringed seal abundance suggested higher numbers of seals in Van Keulenfjorden in 2002 compared to 2003, while other fjords with very stable ice cover showed no statistical differences. Poor ice conditions in general in 2002 probably resulted in seals from a wide area coming to Van Keulenfjorden (a large fjord with stable ice in 2002). The total estimated number of ringed seals present in the study area at the time of the survey must be regarded as a population index, or at least a minimum estimate for the area, because it does not account for individuals leaving and arriving, which might account for a considerable number of animals. The same situation is likely the case for many other studies reporting aerial census data for ringed seals. To achieve accurate estimates of population sizes from aerial surveys, more extensive knowledge of ringed seal behavior will be required.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1748-7692.2006.00035.x","usgsCitation":"Krafft, B., Kovacs, K., Andersen, M., Aars, J., Lydersen, C., Ergon, T., and Haug, T., 2006, Abundance of ringed seals (<i>Pusa hispida</i>) in the fjords of Spitsbergen, Svalbard, during the peak molting period: Marine Mammal Science, v. 22, no. 2, p. 394-412, https://doi.org/10.1111/j.1748-7692.2006.00035.x.","productDescription":"19 p.","startPage":"394","endPage":"412","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477285,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1748-7692.2006.00035.x","text":"Publisher Index Page"},{"id":197896,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2006-01-24","publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a3788","contributors":{"authors":[{"text":"Krafft, B.A.","contributorId":38249,"corporation":false,"usgs":true,"family":"Krafft","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":342212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kovacs, K.M.","contributorId":42319,"corporation":false,"usgs":true,"family":"Kovacs","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":342213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, M.","contributorId":42320,"corporation":false,"usgs":true,"family":"Andersen","given":"M.","email":"","affiliations":[],"preferred":false,"id":342214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aars, Jon","contributorId":91338,"corporation":false,"usgs":false,"family":"Aars","given":"Jon","email":"","affiliations":[{"id":7238,"text":"Norwegian Polar Institute","active":true,"usgs":false}],"preferred":false,"id":342216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lydersen, C.","contributorId":31494,"corporation":false,"usgs":true,"family":"Lydersen","given":"C.","email":"","affiliations":[],"preferred":false,"id":342211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ergon, T.","contributorId":7801,"corporation":false,"usgs":true,"family":"Ergon","given":"T.","email":"","affiliations":[],"preferred":false,"id":342210,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haug, T.","contributorId":76429,"corporation":false,"usgs":true,"family":"Haug","given":"T.","email":"","affiliations":[],"preferred":false,"id":342215,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":5224683,"text":"5224683 - 2006 - Hierarchical models of animal abundance and occurrence","interactions":[],"lastModifiedDate":"2013-03-14T13:14:18","indexId":"5224683","displayToPublicDate":"2010-06-16T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical models of animal abundance and occurrence","docAbstract":"Much of animal ecology is devoted to studies of abundance and occurrence of species, based on surveys of spatially referenced sample units.  These surveys frequently yield sparse counts that are contaminated by imperfect detection, making direct inference about abundance or occurrence based on observational data infeasible.  This article describes a flexible hierarchical modeling framework for estimation and inference about animal abundance and occurrence from survey data that are subject to imperfect detection.  Within this framework, we specify models of abundance and detectability of animals at the level of the local populations defined by the sample units.  Information at the level of the local population is aggregated by specifying models that describe variation in abundance and detection among sites.  We describe likelihood-based and Bayesian methods for estimation and inference under the resulting hierarchical model.  We provide two examples of the application of hierarchical models to animal survey data, the first based on removal counts of stream fish and the second based on avian quadrat counts.  For both examples, we provide a Bayesian analysis of the models using the software WinBUGS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Agricultural, Biological, and Environmental Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6616_Royle.pdf","usgsCitation":"Royle, J., and Dorazio, R., 2006, Hierarchical models of animal abundance and occurrence: Journal of Agricultural, Biological, and Environmental Statistics, v. 11, no. 3, p. 249-263.","productDescription":"249-263","startPage":"249","endPage":"263","numberOfPages":"15","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202046,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":16786,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.amstat.org/doi/abs/10.1198/108571106X129153","linkFileType":{"id":5,"text":"html"}}],"volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635b6f","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":342354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, R.M. 0000-0003-2663-0468","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":23475,"corporation":false,"usgs":true,"family":"Dorazio","given":"R.M.","affiliations":[],"preferred":false,"id":342353,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224611,"text":"5224611 - 2006 - Toxicity and hazard of vanadium to mallard ducks (Anas platyrhynchos) and Canada geese (Branta canadensis)","interactions":[],"lastModifiedDate":"2018-03-29T16:46:33","indexId":"5224611","displayToPublicDate":"2010-06-16T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2481,"text":"Journal of Toxicology and Environmental Health, Part A","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Toxicity and hazard of vanadium to mallard ducks (<i>Anas platyrhynchos</i>) and Canada geese (<i>Branta canadensis</i>)","title":"Toxicity and hazard of vanadium to mallard ducks (Anas platyrhynchos) and Canada geese (Branta canadensis)","docAbstract":"<p><span>A recent Canada goose (</span><i>Branta canadensis</i><span>) die-off at a petroleum refinery fly ash pond in Delaware was attributed to vanadium (V) toxicity. Because of the paucity of V toxicity data for wild birds, a series of studies was undertaken using the forms of V believed to have resulted in this incident. In 7-d single oral dose trials with mallard drakes (</span><i>Anas platyrhynchos</i><span>), the estimated median lethal dose (LD50) for vanadium pentoxide was 113 mg/kg body weight, while the LD50 for sodium metavanadate was 75.5 mg/kg. Sodium metavanadate was found to be even more potent (LD50 = 37.2 mg/kg) in male Canada geese. The most distinctive histopathological lesion of both forms of V was lympho-granulocytic enteritis with hemorrhage into the intestinal lumen. Vanadium accumulation in liver and kidney was proportional to the administered dose, and predictive analyses based on these data suggest that V concentrations of 10 μg/g dry weight (dw) in liver and 25 μg/g dw in kidney are associated with mortality (&gt;90% confidence that exposure is &gt;LD50) in mallards acutely exposed to sodium metavanadate. Chronic exposure to increasing dietary concentrations of sodium metavanadate (38.5 to 2651 ppm) over 67 d resulted in V accumulation in liver and kidney (25.2 and 13.6 μg/g dw, respectively), mild intestinal hemorrhage, blood chemistry changes, and evidence of hepatic oxidative stress in mallards, although some of these responses may have been confounded by food avoidance and weight loss. Dietary exposure of mallards to 250 ppm sodium metavanadate for 4 wk resulted in modest accumulation of V in liver and kidney (&lt;5 μg/g dw) and mild intestinal hemorrhage. Based on these data and other observations, it is unlikely that chronic low-level dietary exposure to V poses a direct lethal hazard to wildlife. However, point sources, such as the V-laden fly ash pond encountered by geese at the petroleum refinery in Delaware, may pose a significant hazard to water birds.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15287390500398265","usgsCitation":"Rattner, B.A., McKernan, M.A., Eisenreich, K.M., Link, W., Olsen, G.H., Hoffman, D.J., Knowles, K., and McGowan, P.C., 2006, Toxicity and hazard of vanadium to mallard ducks (Anas platyrhynchos) and Canada geese (Branta canadensis): Journal of Toxicology and Environmental Health, Part A, v. 69, no. 4, p. 331-351, https://doi.org/10.1080/15287390500398265.","productDescription":"21 p.","startPage":"331","endPage":"351","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-02-24","publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db6280f6","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":342079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKernan, Moira A.","contributorId":33038,"corporation":false,"usgs":true,"family":"McKernan","given":"Moira","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":342072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eisenreich, Karen M.","contributorId":52823,"corporation":false,"usgs":true,"family":"Eisenreich","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":342075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, William A. wlink@usgs.gov","contributorId":145491,"corporation":false,"usgs":true,"family":"Link","given":"William A.","email":"wlink@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":342073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":342076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoffman, David J.","contributorId":86075,"corporation":false,"usgs":true,"family":"Hoffman","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":342074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knowles, K.A.","contributorId":67633,"corporation":false,"usgs":true,"family":"Knowles","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":342078,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":342077,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70156293,"text":"70156293 - 2006 - Prediction of summer maximum and minimum temperature over the central and western United States: The roles of soil moisture and sea surface temperature","interactions":[],"lastModifiedDate":"2021-07-09T12:12:12.928473","indexId":"70156293","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of summer maximum and minimum temperature over the central and western United States: The roles of soil moisture and sea surface temperature","docAbstract":"<p><span>A statistical model based on canonical correlation analysis (CCA) was used to explore climatic associations and predictability of June–August (JJA) maximum and minimum surface air temperatures (Tmax and Tmin) as well as the frequency of Tmax daily extremes (Tmax90) in the central and western United States (west of 90°W). Explanatory variables are monthly and seasonal Pacific Ocean SST (PSST) and the Climate Division Palmer Drought Severity Index (PDSI) during 1950–2001. Although there is a positive correlation between Tmax and Tmin, the two variables exhibit somewhat different patterns and dynamics. Both exhibit their lowest levels of variability in summer, but that of Tmax is greater than Tmin. The predictability of Tmax is mainly associated with local effects related to previous soil moisture conditions at short range (one month to one season), with PSST providing a secondary influence. Predictability of Tmin is more strongly influenced by large-scale (PSST) patterns, with PDSI acting as a short-range predictive influence. For both predictand variables (Tmax and Tmin), the PDSI influence falls off markedly at time leads beyond a few months, but a PSST influence remains for at least two seasons. The maximum predictive skill for JJA Tmin, Tmax, and Tmax90 is from May PSST and PDSI. Importantly, skills evaluated for various seasons and time leads undergo a seasonal cycle that has maximum levels in summer. At the seasonal time frame, summer Tmax prediction skills are greatest in the Midwest, northern and central California, Arizona, and Utah. Similar results were found for Tmax90. In contrast, Tmin skill is spread over most of the western region, except for clusters of low skill in the northern Midwest and southern Montana, Idaho, and northern Arizona.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JCLI3665.1","usgsCitation":"Alfaro, E.J., Gershunov, A., and Cayan, D.R., 2006, Prediction of summer maximum and minimum temperature over the central and western United States: The roles of soil moisture and sea surface temperature: Journal of Climate, v. 19, no. 8, p. 1407-1421, https://doi.org/10.1175/JCLI3665.1.","productDescription":"15 p.","startPage":"1407","endPage":"1421","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":477289,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jcli3665.1","text":"Publisher Index Page"},{"id":386986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.9560546875,\n              48.10743118848039\n            ],\n            [\n              -89.912109375,\n              29.267232865200878\n            ],\n            [\n              -97.20703125,\n              25.997549919572112\n            ],\n            [\n              -108.984375,\n              31.353636941500987\n            ],\n            [\n              -110.9619140625,\n              31.42866311735861\n            ],\n            [\n              -115.04882812499999,\n              32.509761735919426\n            ],\n            [\n              -117.6416015625,\n              32.47269502206151\n            ],\n            [\n              -118.740234375,\n              33.94335994657882\n            ],\n            [\n              -120.9814453125,\n              34.813803317113155\n            ],\n            [\n              -122.51953124999999,\n              37.055177106660814\n            ],\n            [\n              -124.27734374999999,\n              40.38002840251183\n            ],\n            [\n              -124.67285156250001,\n              42.90816007196054\n            ],\n            [\n              -124.1455078125,\n              44.68427737181225\n            ],\n            [\n              -124.5849609375,\n              47.54687159892238\n            ],\n            [\n              -124.98046874999999,\n              49.32512199104001\n            ],\n            [\n              -95.185546875,\n              49.03786794532644\n            ],\n            [\n              -89.9560546875,\n              48.10743118848039\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"8","noUsgsAuthors":false,"publicationDate":"2006-04-15","publicationStatus":"PW","scienceBaseUri":"55d5a8b3e4b0518e3546a4dc","contributors":{"authors":[{"text":"Alfaro, Eric J.","contributorId":146640,"corporation":false,"usgs":false,"family":"Alfaro","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":568543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gershunov, Alexander","contributorId":45238,"corporation":false,"usgs":true,"family":"Gershunov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":568544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":568545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231021,"text":"70231021 - 2006 - An interface between the Agricultural Non-Point Source (AGNPS) pollution model and the ERDAS Imagine Geographic Information System (GIS)","interactions":[],"lastModifiedDate":"2022-04-29T14:12:55.321788","indexId":"70231021","displayToPublicDate":"2009-08-12T09:06:02","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10618,"text":"Geographic Information Sciences","active":true,"publicationSubtype":{"id":10}},"title":"An interface between the Agricultural Non-Point Source (AGNPS) pollution model and the ERDAS Imagine Geographic Information System (GIS)","docAbstract":"<p><span>The U.S. Department of Agriculture developed the Agricultural Non-Point Source (AGNPS) pollution model. The AGNPS pollution model simulates the behavior of runoff, sediment, and nutrient transport from watersheds that have agriculture as their prime use. This model has been used extensively by scientists conducting hydrologic or water quality analyses using computer modeling in an attempt to further understand the complex problem of managing non-point sources of pollution in a watershed hydrology domain. A difficulty with AGNPS is creating and formatting all of the data necessary to execute the model to conduct landscape modeling and watershed analyses. A unique Windows-based program, the AGNPS Data Generator (</span><i>ADGen</i><span>), has been developed to simplify the task of preparing and creating the input for AGNPS through an interface with ERDAS Imagine (a Leica Geosystems product). Because of the complexity and quantity of the input required and the nature of the output text file produced by AGNPS,&nbsp;</span><i>ADGen</i><span>&nbsp;is a helpful tool for the researcher who is trying to analyze non-point source pollution.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10824000609480612","usgsCitation":"Finn, M.P., Usery, E.L., Scheidt, D.J., Jaromack, G.M., and Krupinski, T.D., 2006, An interface between the Agricultural Non-Point Source (AGNPS) pollution model and the ERDAS Imagine Geographic Information System (GIS): Geographic Information Sciences, v. 12, no. 1, p. 10-20, https://doi.org/10.1080/10824000609480612.","productDescription":"11 p.","startPage":"10","endPage":"20","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":477290,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10824000609480612","text":"Publisher Index Page"},{"id":399892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":841767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":841768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheidt, Douglas J.","contributorId":20014,"corporation":false,"usgs":true,"family":"Scheidt","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":841769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaromack, Gregory M.","contributorId":53463,"corporation":false,"usgs":true,"family":"Jaromack","given":"Gregory","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":841770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krupinski, Timothy D.","contributorId":290864,"corporation":false,"usgs":false,"family":"Krupinski","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":841771,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5211374,"text":"5211374 - 2006 - Migratory connectivity of a widely distributed songbird, the American redstart (Setophaga ruticilla)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:27","indexId":"5211374","displayToPublicDate":"2009-06-09T09:23:19","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"61","title":"Migratory connectivity of a widely distributed songbird, the American redstart (Setophaga ruticilla)","docAbstract":"Determining the degree of connectivity between breeding and wintering populations is critical for understanding the ecology and evolution of migratory systems.  We analyzed stable hydrogen isotopic compositions in tail feathers ($Dw) collected from 26 sites in 11 countries throughout the wintering range of the American Redstart (Setophaga ruticilla), a Nearctic- Neotropical migratory passerine bird.  Feathers were assumed to have molted on the breeding grounds, and $Dw was used to estimate breeding origin.  Values of $Dw were highly correlated with longitude of sampling location, indicating that breeding populations were generally distributed along the east-west axis of the wintering grounds.  Within the Caribbean region, Florida, and Bahamas, $Dw values were negatively correlated with winter latitude, which suggests that American Redstarts exhibit a pattern of chain migration in which individuals wintering at northern latitudes are also the most northern breeders.  To identify the most probable breeding regions, we used a likelihood-assignment test incorporated with a prior probability of breeding abundance using Bayes?s rule.  Expected $D values of feathers from five breeding regions were based on interpolated $D values from a model of continent-wide growing-season $D values in precipitation ($Dp) and were adjusted to account for a discrimination factor between precipitation and feathers.  At most wintering locations, breeding assignments were significantly different from expected frequencies based on relative breeding abundance.  Birds wintering in eastern and western Mexico had a high probability of breeding in northwest and midwest North America, whereas birds in the Greater and Lesser Antilles were likely to have originated from breeding regions in the northeast and southeast, respectively.  Migratory connectivity, such as we report here, implies that the dynamics of breeding and nonbreeding populations may be linked at a regional scale.  These results provide a key opportunity for studying the year-round ecology and evolution of spatially connected populations in a migratory species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Patterns of migratory connectivity in two nearctic-neotropical songbirds:  New insights from intrinsic markers","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","collaboration":"OCLC: 75417389  PDF on file: 6763_Norris.pdf","usgsCitation":"Norris, D., Marra, P., Bowen, G., Ratcliffe, L., Royle, J., and Kyser, T., 2006, Migratory connectivity of a widely distributed songbird, the American redstart (Setophaga ruticilla), chap. <i>of</i> Patterns of migratory connectivity in two nearctic-neotropical songbirds:  New insights from intrinsic markers, p. 14-28.","productDescription":"vii, 88","startPage":"14","endPage":"28","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db6355a8","contributors":{"editors":[{"text":"Boulet, Marylene","contributorId":112422,"corporation":false,"usgs":true,"family":"Boulet","given":"Marylene","email":"","affiliations":[],"preferred":false,"id":508048,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Norris, D. Ryan","contributorId":59734,"corporation":false,"usgs":true,"family":"Norris","given":"D.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":508047,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Norris, D.R.","contributorId":38683,"corporation":false,"usgs":true,"family":"Norris","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":330877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marra, P.P.","contributorId":90683,"corporation":false,"usgs":true,"family":"Marra","given":"P.P.","email":"","affiliations":[],"preferred":false,"id":330878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, G.J.","contributorId":18882,"corporation":false,"usgs":true,"family":"Bowen","given":"G.J.","email":"","affiliations":[],"preferred":false,"id":330875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratcliffe, L.M.","contributorId":95593,"corporation":false,"usgs":true,"family":"Ratcliffe","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":330879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":330880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kyser, T.K.","contributorId":25585,"corporation":false,"usgs":true,"family":"Kyser","given":"T.K.","email":"","affiliations":[],"preferred":false,"id":330876,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":5211380,"text":"5211380 - 2006 - Predicting the persistence of coastal wetlands to global change stressors","interactions":[],"lastModifiedDate":"2012-02-02T00:15:28","indexId":"5211380","displayToPublicDate":"2009-06-09T09:23:19","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Predicting the persistence of coastal wetlands to global change stressors","docAbstract":"Despite progress toward understanding the response of coastal wetlands to increases in relative sea-level rise and an improved understanding of the effect of elevated CO2 on plant species allocation patterns, we are limited in our ability to predict the response of coastal wetlands to the effects associated with global change.  Static simulations of the response of coastal wetlands to sea-level rise using LIDAR and GIS lack the biological and physical feedback mechanisms present in such systems.  Evidence from current research suggests that biotic processes are likely to have a major influence on marsh vulnerability to future accelerated rates of sea-level rise and the influence of biotic processes likely varies depending on hydrogeomorphic setting and external stressors.  We have initiated a new research approach using a series of controlled mesocosm and field experiments, landscape scale studies, a comparative network of brackish coastal wetland monitoring sites and a suite of predictive models that address critical questions regarding the vulnerability of coastal brackish wetland systems to global change.  Specifically, this research project evaluates the interaction of sea level rise and elevated CO2 concentrations with flooding, nutrient enrichment and disturbance effects.  The study is organized in a hierarchical structure that links mesocosm, field, landscape and biogeographic levels so as to provide important new information that recognizes that coastal wetland systems respond to multiple interacting drivers and feedback effects controlling wetland surface elevation, habitat stability and ecosystem function.  We also present a new statistical modelling technique (Structural Equation Modelling) that synthesizes and integrates our environmental and biotic measures in a predictive framework that forecasts ecosystem change and informs managers to consider adaptive shifts in strategies for the sustainable management of coastal wetlands.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Catchments to Coast:  Australian Marine Sciences Association, 44th annual conference and the Society of Wetland Scientists 27th International Conference. Book of Abstracts","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Australian Marine Sciences Association and Society of Wetland Scientists","publisherLocation":"[Brisbane, Queensland]","collaboration":"Held Cairns Convention Centre, Cairns, Queensland, Autstralia, 9-14 July 2006.   OCLC: 83612316  PDF on file: 6788_Guntenspergen.pdf","usgsCitation":"Guntenspergen, G., McKee, K., Cahoon, D., Grace, J., and Megonigal, P., 2006, Predicting the persistence of coastal wetlands to global change stressors, chap. <i>of</i> Catchments to Coast:  Australian Marine Sciences Association, 44th annual conference and the Society of Wetland Scientists 27th International Conference. Book of Abstracts.","startPage":"53 (abs)","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e807","contributors":{"authors":[{"text":"Guntenspergen, G.","contributorId":88305,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"G.","email":"","affiliations":[],"preferred":false,"id":330893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":69273,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":330891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, D.","contributorId":38261,"corporation":false,"usgs":true,"family":"Cahoon","given":"D.","affiliations":[],"preferred":false,"id":330890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grace, J.","contributorId":88459,"corporation":false,"usgs":true,"family":"Grace","given":"J.","affiliations":[],"preferred":false,"id":330894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Megonigal, P.","contributorId":72908,"corporation":false,"usgs":true,"family":"Megonigal","given":"P.","email":"","affiliations":[],"preferred":false,"id":330892,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5211341,"text":"5211341 - 2006 - Adaptive harvest management of North American waterfowl populations - recent successes and future prospects","interactions":[],"lastModifiedDate":"2012-02-02T00:15:16","indexId":"5211341","displayToPublicDate":"2009-06-09T09:23:19","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Adaptive harvest management of North American waterfowl populations - recent successes and future prospects","docAbstract":"The history of North American waterfowl harvest management has been characterized by attempts to use population monitoring data to make informed harvest management decisions.  Early attempts can be characterized as intuitive decision processes, and later efforts were guided increasingly by population models and associated predictions.  In 1995, a formal adaptive management process was implemented, and annual decisions about duck harvest regulations in the United States are still based on this process.  This formal decision process is designed to deal appropriately with the various forms of uncertainty that characterize management decisions, environmental uncertainty, structural uncertainty, partial controllability and partial observability.  The key components of the process are (1) objectives, (2) potential management actions, (3) model(s) of population response to management actions, (4) credibility measures for these models, and (5) a monitoring program.  The operation of this iterative process is described, and a brief history of a decade of its use is presented.  Future challenges range from social and political issues such as appropriate objectives and management actions, to technical issues such as multispecies management, geographic allocation of harvest, and incorporation of actions that include habitat acquisition and management.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"XXIV International Ornithological Congress, Hamburg, 2006, Abstracts","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","collaboration":"Symposia 16, Demographic mechanisms of population changes at large spatial scales","usgsCitation":"Nichols, J., Runge, M., Johnson, F., and Williams, B.K., 2006, Adaptive harvest management of North American waterfowl populations - recent successes and future prospects, chap. <i>of</i> XXIV International Ornithological Congress, Hamburg, 2006, Abstracts.","productDescription":"297","startPage":"28 (abs)","numberOfPages":"297","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":200887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697ccb","contributors":{"editors":[{"text":"Schodde, Richard","contributorId":112709,"corporation":false,"usgs":true,"family":"Schodde","given":"Richard","affiliations":[],"preferred":false,"id":508007,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hannon, Susan","contributorId":111506,"corporation":false,"usgs":true,"family":"Hannon","given":"Susan","email":"","affiliations":[],"preferred":false,"id":508005,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Scheiffarth, Gregor","contributorId":113316,"corporation":false,"usgs":true,"family":"Scheiffarth","given":"Gregor","email":"","affiliations":[],"preferred":false,"id":508008,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Bairlein, Franz","contributorId":111596,"corporation":false,"usgs":true,"family":"Bairlein","given":"Franz","email":"","affiliations":[],"preferred":false,"id":508006,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":330785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, M.C. 0000-0002-8081-536X","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":49312,"corporation":false,"usgs":true,"family":"Runge","given":"M.C.","affiliations":[],"preferred":false,"id":330786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A.","contributorId":93863,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred A.","affiliations":[],"preferred":false,"id":330787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, B. Kenneth","contributorId":107798,"corporation":false,"usgs":true,"family":"Williams","given":"B.","email":"","middleInitial":"Kenneth","affiliations":[],"preferred":false,"id":330788,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5211346,"text":"5211346 - 2006 - Development of a banding database for North Pacific albatross: Implications for future data collection","interactions":[],"lastModifiedDate":"2012-02-02T00:15:19","indexId":"5211346","displayToPublicDate":"2009-06-09T09:23:19","publicationYear":"2006","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Development of a banding database for North Pacific albatross: Implications for future data collection","docAbstract":"The effects of fishery practices on black-footed (Phoebastria nigripes) and Laysan albatross (Phoebastria immutabilis) continue to be a source of contention and uncertainty.  Some of this uncertainty is a result of a lack of estimates of albatross demographic parameters such as survival.  To begin to address these informational needs, a database of albatross banding and encounter records was constructed.  Due to uncertainty concerning data collection and validity of assumptions required for mark-recapture analyses, these data should be used with caution.  Although demographic parameter estimates are of interest to many, band loss rates, temporary emigration rates, and discontinuous banding effort can confound these estimates.  We suggest a number of improvements in data collection that can help ameliorate problems, including the use of double banding and collecting data using a `robust? design.  Additionally, sustained banding and encounter efforts are needed to maximize the value of these data.  With these modifications, the usefulness of the banding data could be improved markedly.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Northwestern Hawaiian Islands Third Scientific Symposium. November 2-4, 2004","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","collaboration":"  PDF on file: 6631_Doherty.pdf","usgsCitation":"Doherty, P., Kendall, W., Sillett, S., Gustafson, M., Flint, B., Naughton, M., Robbins, C., and Pyle, P., 2006, Development of a banding database for North Pacific albatross: Implications for future data collection, chap. <i>of</i> Northwestern Hawaiian Islands Third Scientific Symposium. November 2-4, 2004, p. 173-179.","productDescription":"579","startPage":"173","endPage":"179","numberOfPages":"579","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":200778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db666e25","contributors":{"editors":[{"text":"Macintyre, Ian G.","contributorId":94037,"corporation":false,"usgs":true,"family":"Macintyre","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":508015,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Doherty, P.F. Jr.","contributorId":74096,"corporation":false,"usgs":true,"family":"Doherty","given":"P.F.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":330804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, W. L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":32880,"corporation":false,"usgs":true,"family":"Kendall","given":"W. L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":330801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sillett, S.","contributorId":95591,"corporation":false,"usgs":true,"family":"Sillett","given":"S.","email":"","affiliations":[],"preferred":false,"id":330806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustafson, M.","contributorId":93152,"corporation":false,"usgs":true,"family":"Gustafson","given":"M.","email":"","affiliations":[],"preferred":false,"id":330805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, B.","contributorId":49082,"corporation":false,"usgs":true,"family":"Flint","given":"B.","email":"","affiliations":[],"preferred":false,"id":330802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Naughton, M.","contributorId":16959,"corporation":false,"usgs":true,"family":"Naughton","given":"M.","email":"","affiliations":[],"preferred":false,"id":330800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robbins, C.S.","contributorId":53907,"corporation":false,"usgs":true,"family":"Robbins","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":330803,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pyle, P.","contributorId":104594,"corporation":false,"usgs":true,"family":"Pyle","given":"P.","email":"","affiliations":[],"preferred":false,"id":330807,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":5200296,"text":"5200296 - 2006 - Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence","interactions":[],"lastModifiedDate":"2012-02-02T00:15:20","indexId":"5200296","displayToPublicDate":"2009-06-08T16:49:39","publicationYear":"2006","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence","docAbstract":"This is the first book to examine the latest methods in analyzing presence/absence data surveys.  Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.  It provides authoritative insights into the latest in estimation modeling; discusses multiple models which lay the groundwork for future study designs; addresses critical issues of imperfect detectibility and its effects on estimation; and explores the role of probability in estimating in detail.","language":"English","publisher":"Elsevier/Academic Press","publisherLocation":"Burlington, MA","collaboration":"Visit URL for table of contents.  ISBN: 0120887665 ; OCLC:  60856266 ","usgsCitation":"MacKenzie, D., Nichols, J., Royle, J., Pollock, K.H., Bailey, L., and Hines, J., 2006, Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence, xviii, 324.","productDescription":"xviii, 324","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696393","contributors":{"authors":[{"text":"MacKenzie, D.I.","contributorId":69522,"corporation":false,"usgs":true,"family":"MacKenzie","given":"D.I.","email":"","affiliations":[],"preferred":false,"id":327452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":327448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":327453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":327451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, L.L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":61006,"corporation":false,"usgs":true,"family":"Bailey","given":"L.L.","affiliations":[],"preferred":false,"id":327450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":327449,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242797,"text":"70242797 - 2006 - The utility of gravity and magnetic methods for understanding subsurface hydrogeology in large alluvial watersheds: Examples from urbanized basins of the Western United States","interactions":[],"lastModifiedDate":"2023-06-22T16:35:12.725191","indexId":"70242797","displayToPublicDate":"2008-09-30T10:53:19","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The utility of gravity and magnetic methods for understanding subsurface hydrogeology in large alluvial watersheds: Examples from urbanized basins of the Western United States","docAbstract":"<p><span>Population continues to grow rapidly within the large alluvial watersheds associated with structural basins of the Basin and Range Province and the Rio Grande rift of the western United States. Increasing demands on ground‐water resources in these basins, combined with water‐rights disputes, have amplified the need for improved understanding of subsurface hydrogeology. Gravity and magnetic methods provide cost‐effective information critical to the understanding of the subsurface geology that controls hydrology at watershed scales. Gravity models are used to estimate the variations in the overall thickness of basin‐fill aquifers and to define major subbasin boundaries that partition flow systems. High‐resolution aeromagnetic surveys can be used to map the distribution of volcanic and other crystalline rocks in the shallow subsurface that impede flow. In certain geologic settings, the aeromagnetic data can be used to infer the base of basin aquifers or reveal buried, shallow paleotopography. In addition, the utility of high‐resolution aeromagnetic data to locate partially or wholly concealed faults within basin sediments is a non‐conventional application that has gained prominence in recent years. Examples of these uses of gravity and magnetic methods come from studies of basins within the Albuquerque‐Santa Fe, NM, urban corridor, the Virgin Valley in the tristate area of NV, AZ, and UT, the upper Verde River watershed near Prescott, AZ, and the San Luis Valley surrounding Alamosa, CO.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.2923736","usgsCitation":"Grauch, V.J., and Langenheim, V., 2006, The utility of gravity and magnetic methods for understanding subsurface hydrogeology in large alluvial watersheds: Examples from urbanized basins of the Western United States, <i>in</i> Symposium on the application of geophysics to engineering and environmental problems proceedings, p. 938-951, https://doi.org/10.4133/1.2923736.","productDescription":"14 p.","startPage":"938","endPage":"951","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":415925,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":869804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":221236,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":869805,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70242733,"text":"70242733 - 2006 - Resistivity imaging in eastern Nevada Using the audiomagnetotelluric method for hydrogeologic framework studies","interactions":[],"lastModifiedDate":"2023-04-14T15:16:36.932057","indexId":"70242733","displayToPublicDate":"2008-09-30T09:58:33","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Resistivity imaging in eastern Nevada Using the audiomagnetotelluric method for hydrogeologic framework studies","docAbstract":"<p><span>Inversion of audiomagnetotelluric (AMT) sounding data collected in eastern Nevada shows significant structure within the upper kilometer of the subsurface that defines the geologic framework from which hydrologic models will be developed. We collected AMT data along two profiles in Spring and Cave valleys in 2004–2005, using the Geometrics StrataGem EH4 system, a four‐channel, natural and controlled‐source tensor system recording in the range of 10–92,000 Hz. Profiles were 12 and 3 km in length with station spacing of 200–400 m. Two‐dimensional inverse models show detailed structure within the alluvial basin including clear transitions between unsaturated and saturated alluvium/volcanic rocks, highly‐resistive (&gt;1000 ohm‐m) carbonate rocks, and the locations of range‐front and intra‐basin faults. In addition, our results define the shape of and the depth to the basement surface, which correlates well with depth to basement estimates derived from the inversion of gravity data.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.4133/1.2923711","usgsCitation":"McPhee, D., Pellerin, L., Churchel, B.A., Tilden, J.E., and Dixon, G.L., 2006, Resistivity imaging in eastern Nevada Using the audiomagnetotelluric method for hydrogeologic framework studies, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2006, p. 712-718, https://doi.org/10.4133/1.2923711.","productDescription":"7 p.","startPage":"712","endPage":"718","costCenters":[{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"links":[{"id":477292,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.521.7222","text":"External Repository"},{"id":415780,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":869561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":869562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Churchel, B. A.","contributorId":151076,"corporation":false,"usgs":false,"family":"Churchel","given":"B.","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":869563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tilden, Janet E. 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":20423,"corporation":false,"usgs":true,"family":"Tilden","given":"Janet","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":869564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dixon, Gary L.","contributorId":23571,"corporation":false,"usgs":true,"family":"Dixon","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":869565,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242732,"text":"70242732 - 2006 - LIDAR & SASW technologies for geotechnical earthquake engineering","interactions":[],"lastModifiedDate":"2023-04-14T14:56:32.54226","indexId":"70242732","displayToPublicDate":"2008-09-30T09:52:27","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"LIDAR & SASW technologies for geotechnical earthquake engineering","docAbstract":"<p><span>Geotechnical engineering methods are validated through comparison of field‐data of surface deformations and sub‐surface state properties. Recent advances in non‐invasive surface imaging and sub‐surface stiffness characterization allow us to rapidly and inexpensively map these spatial and physical properties in two and three dimensions. In this paper, we discuss new technologies used at the United States Geological Survey (USGS), ground‐based LIDAR (Light Detection And Ranging) used to create ultra high‐resolution three‐dimensional digital terrain models, and surface wave methods used to characterize soil stiffness properties. The power of LIDAR technology in earthquake engineering is its ability to rapidly capture the extremely high detail of failure morphologies, to view them in orientations not previously possible, and to permanently archive them for the engineering research community. The power of surface wave methods, like Spectral Analysis of Surface Waves (SASW), is their ability to non‐invasively and rapidly characterize the stiffness of the ground, to be relatively lightweight and efficient in deployment; and to accurately profile difficult materials such as gravely deposits and stiff soils where conventional methods are not practical. Three active‐source SASW systems used by the USGS are described here, a single‐source harmonic wave vibration system; a large parallel‐array harmonic wave source system; and a seafloor harmonic wave source system. LIDAR and SASW methods allow researchers to directly relate detailed surface damage with the shear wave velocity properties of the ground. LIDAR imagery and movies, and SASW datasets can be viewed at http://walrus.wr.usgs.gov/geotech.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems 2006","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.4133/1.2923583","usgsCitation":"Kayen, R., and Collins, B.D., 2006, LIDAR & SASW technologies for geotechnical earthquake engineering, <i>in</i> Symposium on the application of geophysics to engineering and environmental problems 2006, p. 1259-1269, https://doi.org/10.4133/1.2923583.","productDescription":"11 p.","startPage":"1259","endPage":"1269","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":415779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2012-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kayen, Robert 0000-0002-0356-072X","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":219065,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":869559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":869560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201469,"text":"70201469 - 2006 - Cartography for lunar exploration: 2006 status and planned missions","interactions":[],"lastModifiedDate":"2019-02-11T14:25:55","indexId":"70201469","displayToPublicDate":"2007-09-30T16:17:27","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cartography for lunar exploration: 2006 status and planned missions","docAbstract":"<p>The initial spacecraft exploration of the Moon in the 1960s–70s yielded extensive data, primarily in the form of film and television images, that were used to produce a large number of hardcopy maps by conventional techniques. A second era of exploration, beginning in the early 1990s, has produced digital data including global multispectral imagery and altimetry, from which a new generation of digital map products tied to a rapidly evolving global control network has been made. Efforts are also underway to scan the earlier hardcopy maps for online distribution and to digitize the film images themselves so that modern processing techniques can be used to make high-resolution digital terrain models (DTMs) and image mosaics consistent with the current global control. The pace of lunar exploration is about to accelerate dramatically, with as many of seven new missions planned for the current decade. These missions, of which the most important for cartography are SMART-1 (Europe), SELENE (Japan), Chang'E-1 (China), Chandrayaan-1 (India), and Lunar Reconnaissance Orbiter (USA), will return a volume of data exceeding that of all previous lunar and planetary missions combined. Framing and scanner camera images, including multispectral and stereo data, hyperspectral images, synthetic aperture radar (SAR) images, and laser altimetry will all be collected, including, in most cases, multiple datasets of each type. Substantial advances in international standardization and cooperation, development of new and more efficient data processing methods, and availability of resources for processing and archiving will all be needed if the next generation of missions are to fulfil their potential for high-precision mapping of the Moon in support of subsequent exploration and scientific investigation. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium of ISPRS Commission IV","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium of ISPRS Commission IV","conferenceDate":"September 25-30, 2006","conferenceLocation":"Goa, India","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","usgsCitation":"Kirk, R.L., Archinal, B.A., Gaddis, L.R., and Rosiek, M.R., 2006, Cartography for lunar exploration: 2006 status and planned missions, <i>in</i> Symposium of ISPRS Commission IV, Goa, India, September 25-30, 2006, 12 p.","productDescription":"12 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":360278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360277,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.isprs.org/proceedings/XXXVI/part4/"}],"otherGeospatial":"Moon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c137dd6e4b006c4f85148b8","contributors":{"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":2816,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":824,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":754230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201468,"text":"70201468 - 2006 - USGS Magellan stereomapping of Venus","interactions":[],"lastModifiedDate":"2018-12-13T16:32:13","indexId":"70201468","displayToPublicDate":"2007-09-30T16:04:22","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"USGS Magellan stereomapping of Venus","docAbstract":"<p>This paper describes our methods for generating high resolution Digital Terrain Models (DTMs) of Venus using Magellan synthetic aperture radar (SAR) stereoimages, and the sensor model we developed for Magellan stereomapping on our digital photogrammetric workstation running SOCET SET (® BAE SYSTEMS). In addition to demonstrating the validity of our sensor model and procedures we use for mapping, we explain potential error sources that we have identified as well. We also present test results of our ability to produce DTMs using opposite-side Magellan stereo. This capability can compliment normal same-side stereomapping in areas of low relief by providing exaggerated stereo helpful for DTM generation, and by providing a source of stereo information in gaps occurring in the nominal Magellan stereocoverage. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium of ISPRS Commission IV","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium of ISPRS Commission IV","conferenceDate":"September 25-30, 2006","conferenceLocation":"Goa, India","language":"English","publisher":"International Society for Photogrammetry","usgsCitation":"Howington-Kraus, E., Kirk, R.L., Galuszka, D.M., and Redding, B.L., 2006, USGS Magellan stereomapping of Venus, <i>in</i> Symposium of ISPRS Commission IV, Goa, India, September 25-30, 2006, 6 p.","productDescription":"6 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":360273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360272,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.isprs.org/proceedings/XXXVI/part4/"}],"otherGeospatial":"Venus","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c137dd6e4b006c4f85148bb","contributors":{"authors":[{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":754226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80217,"text":"sir20065319 - 2006 - Diffuse-flow conceptualization and simulation of the Edwards aquifer, San Antonio region, Texas","interactions":[],"lastModifiedDate":"2017-05-23T17:58:49","indexId":"sir20065319","displayToPublicDate":"2007-08-14T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5319","title":"Diffuse-flow conceptualization and simulation of the Edwards aquifer, San Antonio region, Texas","docAbstract":"<p>A numerical ground-water-flow model (hereinafter, the conduit-flow Edwards aquifer model) of the karstic Edwards aquifer in south-central Texas was developed for a previous study on the basis of a conceptualization emphasizing conduit development and conduit flow, and included simulating conduits as one-cell-wide, continuously connected features. Uncertainties regarding the degree to which conduits pervade the Edwards aquifer and influence ground-water flow, as well as other uncertainties inherent in simulating conduits, raised the question of whether a model based on the conduit-flow conceptualization was the optimum model for the Edwards aquifer. Accordingly, a model with an alternative hydraulic conductivity distribution without conduits was developed in a study conducted during 2004-05 by the U.S. Geological Survey, in cooperation with the San Antonio Water System. The hydraulic conductivity distribution for the modified Edwards aquifer model (hereinafter, the diffuse-flow Edwards aquifer model), based primarily on a conceptualization in which flow in the aquifer predominantly is through a network of numerous small fractures and openings, includes 38 zones, with hydraulic conductivities ranging from 3 to 50,000 feet per day. Revision of model input data for the diffuse-flow Edwards aquifer model was limited to changes in the simulated hydraulic conductivity distribution. The root-mean-square error for 144 target wells for the calibrated steady-state simulation for the diffuse-flow Edwards aquifer model is 20.9 feet. This error represents about 3 percent of the total head difference across the model area. The simulated springflows for Comal and San Marcos Springs for the calibrated steady-state simulation were within 2.4 and 15 percent of the median springflows for the two springs, respectively. The transient calibration period for the diffuse-flow Edwards aquifer model was 1947-2000, with 648 monthly stress periods, the same as for the conduit-flow Edwards aquifer model. The root-mean-square error for a period of drought (May-November 1956) for the calibrated transient simulation for 171 target wells is 33.4 feet, which represents about 5 percent of the total head difference across the model area. The root-mean-square error for a period of above-normal rainfall (November 1974-July 1975) for the calibrated transient simulation for 169 target wells is 25.8 feet, which represents about 4 percent of the total head difference across the model area. The root-mean-square error ranged from 6.3 to 30.4 feet in 12 target wells with long-term water-level measurements for varying periods during 1947-2000 for the calibrated transient simulation for the diffuse-flow Edwards aquifer model, and these errors represent 5.0 to 31.3 percent of the range in water-level fluctuations of each of those wells. The root-mean-square errors for the five major springs in the San Antonio segment of the aquifer for the calibrated transient simulation, as a percentage of the range of discharge fluctuations measured at the springs, varied from 7.2 percent for San Marcos Springs and 8.1 percent for Comal Springs to 28.8 percent for Leona Springs. The root-mean-square errors for hydraulic heads for the conduit-flow Edwards aquifer model are 27, 76, and 30 percent greater than those for the diffuse-flow Edwards aquifer model for the steady-state, drought, and above-normal rainfall synoptic time periods, respectively. The goodness-of-fit between measured and simulated springflows is similar for Comal, San Marcos, and Leona Springs for the diffuse-flow Edwards aquifer model and the conduit-flow Edwards aquifer model. The root-mean-square errors for Comal and Leona Springs were 15.6 and 21.3 percent less, respectively, whereas the root-mean-square error for San Marcos Springs was 3.3 percent greater for the diffuse-flow Edwards aquifer model compared to the conduit-flow Edwards aquifer model. The root-mean-square errors for San Antonio and San Pedro Springs were&nbsp;appreciably greater, 80.2 and 51.0 percent, respectively, for the diffuse-flow Edwards aquifer model. The simulated water budgets for the diffuse-flow Edwards aquifer model are similar to those for the conduit-flow Edwards aquifer model. Differences in percentage of total sources or discharges for a budget component are 2.0 percent or&nbsp;less for all budget components for the steady-state and transient simulations. The largest difference in terms of the magnitude of water budget components for the transient simulation for 1956 was a decrease of about 10,730 acre-feet per year (about 2 per-cent) in springflow for the diffuse-flow Edwards aquifer model compared to the conduit-flow Edwards aquifer model. This decrease in springflow (a water budget discharge) was largely offset by the decreased net loss of water from storage (a water budget source) of about 10,500 acre-feet per year.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065319","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Lindgren, R.J., 2006, Diffuse-flow conceptualization and simulation of the Edwards aquifer, San Antonio region, Texas: U.S. Geological Survey Scientific Investigations Report 2006-5319, Report: iv, 48 p.; Plate: 30 x 26 inches, https://doi.org/10.3133/sir20065319.","productDescription":"Report: iv, 48 p.; Plate: 30 x 26 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":192503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065319.gif"},{"id":327721,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2006/5319/pdf/sir2006-5319.pdf","text":"Report","size":"5.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":327722,"rank":102,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2006/5319/pdf/sir2006-5319_pl.pdf","text":"Plate 1","size":"6.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1"},{"id":10037,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5319/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.5,28.5 ], [ -100.5,30.5 ], [ -97.5,30.5 ], [ -97.5,28.5 ], [ -100.5,28.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a85f1","contributors":{"authors":[{"text":"Lindgren, R. J.","contributorId":70808,"corporation":false,"usgs":true,"family":"Lindgren","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":292000,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80128,"text":"fs20063019 - 2006 - LANDFIRE: Collaboration for National Fire Fuel Assessment","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"fs20063019","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","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":"2006-3019","title":"LANDFIRE: Collaboration for National Fire Fuel Assessment","docAbstract":"The implementation of national fire management policies, such as the National Fire Plan and the Healthy Forest Restoration Act, requires geospatial data of vegetation types and structure, wildland fuels, fire risks, and ecosystem fire regime conditions. Presently, no such data sets are available that can meet these requirements. As a result, the U.S. Department of Agriculture (USDA) Forest Service and the Department of the Interior's land management bureaus (Bureau of Indian Affairs (BIA), Bureau of Land Management (BLM), Fish and Wildlife Service (FWS), and National Park Service (NPS)) have jointly sponsored LANDFIRE, a new research and development project. The primary objective of the project is to develop an integrated and repeatable methodology and produce vegetation, fire, and ecosystem information and predictive models for cost-effective national land management applications. The project is conducted collaboratively by the U.S. Geological Survey (USGS), the USDA Forest Service, and The Nature Conservancy.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063019","usgsCitation":"Zhu, Z., 2006, LANDFIRE: Collaboration for National Fire Fuel Assessment: U.S. Geological Survey Fact Sheet 2006-3019, 1 p., https://doi.org/10.3133/fs20063019.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":122413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2006/3019/report-thumb.jpg"},{"id":91229,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2006/3019/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4784","contributors":{"authors":[{"text":"Zhu, Zhi-Liang","contributorId":70726,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhi-Liang","affiliations":[],"preferred":false,"id":291790,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":80121,"text":"fs20063021 - 2006 - Understanding Amphibian Declines Through Geographic Approaches","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"fs20063021","displayToPublicDate":"2007-07-24T00:00:00","publicationYear":"2006","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":"2006-3021","title":"Understanding Amphibian Declines Through Geographic Approaches","docAbstract":"Growing concern over worldwide amphibian declines warrants serious examination. Amphibians are important to the proper functioning of ecosystems and provide many direct benefits to humans in the form of pest and disease control, pharmaceutical compounds, and even food. Amphibians have permeable skin and rely on both aquatic and terrestrial ecosystems during different seasons and stages of their lives. Their association with these ecosystems renders them likely to serve as sensitive indicators of environmental change. While much research on amphibian declines has centered on mysterious causes, or on causes that directly affect humans (global warming, chemical pollution, ultraviolet-B radiation), most declines are the result of habitat loss and habitat alteration. Improving our ability to characterize, model, and monitor the interactions between environmental variables and amphibian habitats is key to addressing amphibian conservation. In 2000, the U.S. Geological Survey (USGS) initiated the Amphibian Research and Monitoring Initiative (ARMI) to address issues surrounding amphibian declines.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063021","usgsCitation":"Gallant, A., 2006, Understanding Amphibian Declines Through Geographic Approaches: U.S. Geological Survey Fact Sheet 2006-3021, 1 p., https://doi.org/10.3133/fs20063021.","productDescription":"1 p.","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":120786,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2006/3021/report-thumb.jpg"},{"id":91223,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2006/3021/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f59f","contributors":{"authors":[{"text":"Gallant, Alisa 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":85280,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","affiliations":[],"preferred":false,"id":291783,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":79855,"text":"ofr20051026 - 2006 - Hydratools manual version 1.0, documentation for a MATLAB<sup>®</sup>-based post-processing package for the Sontek Hydra","interactions":[],"lastModifiedDate":"2017-11-06T08:27:48","indexId":"ofr20051026","displayToPublicDate":"2007-04-28T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-1026","title":"Hydratools manual version 1.0, documentation for a MATLAB<sup>®</sup>-based post-processing package for the Sontek Hydra","docAbstract":"<p>The Sediment Transport Instrumentation Group (STG) at the U.S. Geological Survey (USGS) Woods Hole Science Center has a long-standing comitment to providing scientists with high quality oceanographic data. To meet this commitment, STG personnel are vigilant in checking data as well as hardware for signs of instrument malfunction. STG data sets are accompanied by processing histories to detail data processing procedures that may have modified the natural data signal while removing noise from the data.</p>\n<br>\n<p>The history also allows the data to be reprocessed in the ligth of new insight into instrument function and moored conditions. This toolbox was compiled to meet these data quality commitments for data generated by Sontek Hydra systems using both ADV and PCADP probes.</p>\n<br>\n<p>In the mid 1900's, the USGS Coastal and Marine Program began frequent deployments of Sontek Hydra systems in support of projects in estuaries, coastal, and continental shelf regions nationwide. Hydra data sets are large and complex in structure, and existing processing and editing tools consisted of fragments of MATLAB code written by USGS scientists to satisfy personal research needs.</p>\n<br>\n<p>This code did not meet STG quality control criteria. This toolbox permits engineers and scientists to monitor data quality by:</p>\n<br>\n<p>1.\tprocessing data with interactive critical review;</p>\n<p>2.\tpreserving data quality indicators;</p>\n<p>3.\tpreserving minimally processed and partially processed versions of data sets.</p>\n<br>\n<p>STG usually deploys ADV and PCADP probes configured as downward looking, mounted on bottom tripods, with the objective of measuring high-resolution near-bed currents. The velocity profiles are recorded with minimal internal data processing. Also recorded are parameters such as temperature, conductivity, optical backscatter, light transmission, and high frequency pressure. Sampling consists of high-frequency bursts(1–10 Hz) bursts of long duration (5–30 minutes) at regular and recurring intervals for a duration of 1 to 6 months. The result is very large data files, often 500 MB per Hydra, per deployment, in Sontek's compressed binary format.</p>\n<br>\n<p>This section introduces the Hydratools toolbox and provides information about the history of the system's development. The USGS philosophy regarding data quality is discussed to provide an understating of the motivation for creating the system. General information about the following topics will also be discussed: hardware and software required for the system, basic processing steps, limitations of program usage, and features that are unique to the programs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051026","usgsCitation":"Martini, M.A., Sherwood, C., Horwitz, R., Ramsey, A., Lightsom, F., Lacy, J., and Xu, J., 2006, Hydratools manual version 1.0, documentation for a MATLAB<sup>®</sup>-based post-processing package for the Sontek Hydra: U.S. Geological Survey Open-File Report 2005-1026, Report: 49 p.; Data files, https://doi.org/10.3133/ofr20051026.","productDescription":"Report: 49 p.; Data files","numberOfPages":"49","additionalOnlineFiles":"Y","costCenters":[{"id":528,"text":"Pacific Science Center","active":false,"usgs":true},{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":190645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20051026.PNG"},{"id":9575,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1026/","linkFileType":{"id":5,"text":"html"}},{"id":293466,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2005/1026/zip/hydratools20apr06.zip"},{"id":293465,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2005/1026/pdf/report.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a376","contributors":{"authors":[{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":291006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Chris","contributorId":45007,"corporation":false,"usgs":true,"family":"Sherwood","given":"Chris","email":"","affiliations":[],"preferred":false,"id":291005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horwitz, Rachel","contributorId":40285,"corporation":false,"usgs":true,"family":"Horwitz","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":291003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsey, Andree","contributorId":39069,"corporation":false,"usgs":true,"family":"Ramsey","given":"Andree","email":"","affiliations":[],"preferred":false,"id":291002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lightsom, Fran","contributorId":41053,"corporation":false,"usgs":true,"family":"Lightsom","given":"Fran","email":"","affiliations":[],"preferred":false,"id":291004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lacy, Jessie","contributorId":9356,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessie","email":"","affiliations":[],"preferred":false,"id":291001,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Jingping jpx@usgs.gov","contributorId":2574,"corporation":false,"usgs":true,"family":"Xu","given":"Jingping","email":"jpx@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":291000,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":79840,"text":"sir20065189 - 2006 - Areal distribution and concentration of contaminants of concern in surficial streambed and lakebed sediments, Lake St. Clair and tributaries, Michigan, 1990-2003","interactions":[],"lastModifiedDate":"2017-01-23T10:10:05","indexId":"sir20065189","displayToPublicDate":"2007-04-24T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5189","title":"Areal distribution and concentration of contaminants of concern in surficial streambed and lakebed sediments, Lake St. Clair and tributaries, Michigan, 1990-2003","docAbstract":"<p class=\"body\">As part of the Lake St. Clair Regional Monitoring Project, the U.S. Geological Survey evaluated data collected from surficial streambed and lakebed sediments in the Lake Erie-Lake St. Clair drainages. This study incorporates data collected from 1990 through 2003 and focuses primarily on the U.S. part of the Lake St. Clair Basin, including Lake St. Clair, the St. Clair River, and tributaries to Lake St. Clair. Comparable data from the Canadian part of the study area are included where available. The data are compiled into 4 chemical classes and consist of 21 compounds. The data are compared to effects-based sediment-quality guidelines, where the Threshold Effect Level and Lowest Effect Level represent concentrations below which adverse effects on biota are not expected and the Probable Effect Level and Severe Effect Level represent concentrations above which adverse effects on biota are expected to be frequent.</p><p class=\"body\">Maps in the report show the spatial distribution of the sampling locations and illustrate the concentrations relative to the selected sediment-quality guidelines. These maps indicate that sediment samples from certain areas routinely had contaminant concentrations greater than the Threshold Effect Concentration or Lowest Effect Level. These locations are the upper reach of the St. Clair River, the main stem and mouth of the Clinton River, Big Beaver Creek, Red Run, and Paint Creek. Maps also indicated areas that routinely contained sediment contaminant concentrations that were greater than the Probable Effect Concentration or Severe Effect Level. These locations include the upper reach of the St. Clair River, the main stem and mouth of the Clinton River, Red Run, within direct tributaries along Lake St. Clair and in marinas within the lake, and within the Clinton River headwaters in Oakland County.</p><p class=\"body\">Although most samples collected within Lake St. Clair were from sites adjacent to the mouths of its tributaries, samples analyzed for trace-element concentrations were collected throughout the lake. The distribution of trace-element concentrations corresponded well with the results of a two-dimensional hydrodynamic model of flow patterns from the Clinton River into Lake St. Clair. The model was developed independent from the bed sediment analysis described in this report; yet it showed a zone of deposition for outflow from the Clinton River into Lake St. Clair that corresponded well with the spatial distribution of trace-element concentrations. This zone runs along the western shoreline of Lake St. Clair from L'Anse Creuse Bay to St. Clair Shores, Michigan and is reflected in the samples analyzed for mercury and cadmium.</p><p class=\"body\">Statistical summaries of the concentration data are presented for most contaminants, and selected statistics are compared to effects-based sediment-quality guidelines. Summaries were not computed for dieldrin, chlordane, hexachlorocyclohexane, lindane, and mirex because insufficient data are available for these contaminants. A statistical comparison showed that the median concentration for hexachlorobenzene, anthracene, benz[<i>a</i>]anthracene, chrysene, and pyrene are greater than the Threshold Effect Concentration or Lowest Effect Level.</p><p class=\"body\">Probable Effect Concentration Quotients provide a mechanism for comparing the concentrations of contaminant mixtures against effects-based biota data. Probable Effect Concentration Quotients were calculated for individual samples and compared to effects-based toxicity ranges. The toxicity-range categories used in this study were nontoxic (quotients &lt; 0.5) and toxic (quotients &gt; 0.5). Of the 546 individual samples for which Probable Effect Concentration Quotients were calculated, 469 (86 percent) were categorized as being nontoxic and 77 (14 percent) were categorized as being toxic. Bed-sediment samples with toxic Probable Effect Concentration Quotients were collected from Paint Creek, Galloway Creek, the main stem of the Clinton River, Big Beaver Creek, Red Run, Clinton River towards the mouth, Lake St. Clair along the western shore, and the St. Clair River near Sarnia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065189","collaboration":"In cooperation with the Lake St. Clair Regional Monitoring Project","usgsCitation":"Rachol, C.M., and Button, D.T., 2006, Areal distribution and concentration of contaminants of concern in surficial streambed and lakebed sediments, Lake St. Clair and tributaries, Michigan, 1990-2003: U.S. Geological Survey Scientific Investigations Report 2006-5189, vi, 50 p., https://doi.org/10.3133/sir20065189.","productDescription":"vi, 50 p.","temporalStart":"1990-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":333691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9540,"rank":99,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5189/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.5,\n              43.45\n            ],\n            [\n              -83.5,\n              42.25\n            ],\n            [\n              -82.333333,\n              42.25\n            ],\n            [\n              -82.333333,\n              43.45\n            ],\n            [\n              -83.5,\n              43.45\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db673e70","contributors":{"authors":[{"text":"Rachol, Cynthia M. 0000-0001-9984-3435 crachol@usgs.gov","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":3488,"corporation":false,"usgs":true,"family":"Rachol","given":"Cynthia","email":"crachol@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":290970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79826,"text":"ds192 - 2006 - Percentage of Probability of Nonpoint-Source Nitrate Contamination of Recently Recharged Ground Water in the High Plains Aquifer","interactions":[],"lastModifiedDate":"2013-06-04T10:04:25","indexId":"ds192","displayToPublicDate":"2007-04-20T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"192","title":"Percentage of Probability of Nonpoint-Source Nitrate Contamination of Recently Recharged Ground Water in the High Plains Aquifer","docAbstract":"This raster data set represents the percentage of probability of nonpoint-source nitrate contamination (greater than the proposed background concentration of 4 milligrams per liter (mg/L) as N) of recently (defined as less than 50 years) recharged ground water in the High Plains aquifer of the United States. The High Plains aquifer covers approximately 175,000 square miles in eight States; Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Elevated nitrate concentrations above the background concentration have been detected in recently recharged (less than 50 years) ground water in the High Plains aquifer. This data set is derived from empirical models developed using multivariate logistic regression to evaluate the vulnerability of the High Plains aquifer to nitrate contamination from nonpoint sources. This data set was generated in a geographic information system from these models and represents the spatial extent of vulnerability of nitrate contamination greater than 4 mg/L across the aquifer.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds192","usgsCitation":"Qi, S.L., and Gurdak, J., 2006, Percentage of Probability of Nonpoint-Source Nitrate Contamination of Recently Recharged Ground Water in the High Plains Aquifer: U.S. Geological Survey Data Series 192, Online Only, https://doi.org/10.3133/ds192.","productDescription":"Online Only","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":9522,"rank":100,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds192_hp_npctprob.xml","linkFileType":{"id":5,"text":"html"}},{"id":190778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"projection":"Albers Conical Equal Area","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db6886ae","contributors":{"authors":[{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":290941,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79798,"text":"ofr20061195 - 2006 - Surficial sediment character of the Louisiana offshore continental shelf region: A GIS compilation","interactions":[],"lastModifiedDate":"2022-02-09T20:11:59.812254","indexId":"ofr20061195","displayToPublicDate":"2007-04-14T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-1195","title":"Surficial sediment character of the Louisiana offshore continental shelf region: A GIS compilation","docAbstract":"<p>The Louisiana coastal zone, comprising the Mississippi River delta plain stretching nearly 400 km from Sabine Pass at the Texas border east to the Chandeleur Islands at the Mississippi border, represents one of North America’s most important coastal ecosystems in terms of natural resources, human infrastructure, and cultural heritage. At the same time, this region has the highest rates of coastal erosion and wetland loss in the Nation due to a complex combination of natural processes and anthropogenic actions over the past century. Comparison of historical maps dating back to 1855 and recent aerial photography show the Louisiana coast undergoing net erosion at highly variable rates. Rates have increased significantly during the past several decades. Earlier published statewide average shoreline erosion rates were >6 m/yr; rates have increased recently to >10 m/yr. The increase is attributable to collective action of storms, rapid subsidence, and pervasive man-made alterations of the rivers and the coast. In response to the dramatic landloss, regional-scale restoration plans are being developed by a partnership of federal and state agencies for the delta plain that have the objectives of maintaining the barrier islands, reducing wetland loss, and enhancing the natural sediment delivery processes.</p>\n<br>\n<p>There is growing awareness that the sustainability of coastal Louisiana's natural resources and human infrastructure depends on the successful restoration of natural geologic processes. Critical to the long term success of restoration is scientific understanding of the geologic history and processes of the coastal zone region, including interactions between the rivers, wetlands, coast, and inner shelf.</p>\n<br>\n<p>A variety of geophysical studies and mapping of Late Quaternary sedimentary framework and coastal processes by U.S. Geological Survey and other scientists during the past 50 years document that the Louisiana delta plain is the product of a complex history of cyclic delta switching by the Mississippi River and its distributaries over the past ~10,000 years that resulted in laterally overlapping deltaic depocenters. The interactions among riverine, coastal, and inner shelf processes have been superimposed on the Holocene transgression resulting in distinctive landforms and sedimentary sequences.</p>\n<br>\n<p>Four Holocene shelf-phase delta complexes have been identified using seismic reflection data and vibracores. Each delta complex is bounded by transgressive surfaces. Following each cycle of deposition and abandonment, the delta lobes undergo regional subsidence and marine reworking that forms transgressive coastal systems and barrier islands. Ultimately, the distal end of each of the abandoned delta lobes is marked by submerged marine sand bodies representing drowned barriers. These sand bodies (e.g. Ship Shoal, Outer Shoal, Trinity Shoal, Tiger Shoal, St. Bernard Shoal) offer the largest volumes and highest quality sand for beach nourishment and shoreline and wetlands restoration.</p>\n<br>\n<p>These four large sand shoals on inner continental shelf, representing the reworked remnants of former prograded deltaic headlands that existed on the continental shelf at lower sea level, were generated in the retreat path of the Mississippi River delta plain during the Holocene transgression. Penland and others (1989) have shown these sand bodies represent former shoreline positions associated with lower still stands in sea level. Short periods of rapid relative sea-level rise led to the transgressive submergence of the shorelines which today can be recognized at the -10 m to -20 m isobaths on the Louisiana continental shelf. Trinity Shoal and Ship Shoal represent the -10 m middle-to-late Holocene shoreline trend, whereas Outer Shoal and the St. Bernard Shoals define the -20 m early Holocene shoreline trend (Penland and others, 1989). Collectively, these sand shoals constitute a large volume of high quality sandy sediment potentially suitable for barrier island nourishment and coastal restoration.</p>\n<br>\n<p>The USGS has actively supported coastal and wetlands geologic research for the past two decades in partnership with universities (e.g., Louisiana State University, University of New Orleans), state agencies (e.g. Louisiana Geological Survey, Louisiana Department of Natural Resources), and private organizations (Williams and others, 1992a,b; Williams and Cichon, 1993; List and others, 1994). These studies have focused on regional-scale mapping of coastal and wetland change and developing a better understanding of the processes that cause coastal erosion and wetlands loss, particularly the rapid deterioration of Louisiana's barrier islands, estuaries, and wetlands environments. With a better understanding of these processes, the ability to model and predict erosion and wetlands loss will improve. More accurate predictions will, in turn, allow for proper management of coastal resources. Improved predictions will also allow for better assessments of the utility of different restoration alternatives.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061195","usgsCitation":"Williams, S.J., Arsenault, M.A., Buczkowski, B., Reid, J.A., Flocks, J., Kulp, M., Penland, S., and Jenkins, C.J., 2006, Surficial sediment character of the Louisiana offshore continental shelf region: A GIS compilation: U.S. Geological Survey Open-File Report 2006-1195, vi, 45 p., https://doi.org/10.3133/ofr20061195.","productDescription":"vi, 45 p.","numberOfPages":"49","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":194761,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20061195.PNG"},{"id":295124,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2006/1195/htmldocs/images/pdf/report.pdf"},{"id":9488,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1195/","linkFileType":{"id":5,"text":"html"}},{"id":395721,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81182.htm"}],"country":"United States","state":"Louisiana","otherGeospatial":"Continental shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.4,\n              26.33\n            ],\n            [\n              -88.2,\n              26.33\n            ],\n            [\n              -88.2,\n              30.4\n            ],\n            [\n              -94.4,\n              30.4\n            ],\n            [\n              -94.4,\n              26.33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db6893e0","contributors":{"authors":[{"text":"Williams, S. Jeffress 0000-0002-1326-7420 jwilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-1326-7420","contributorId":2063,"corporation":false,"usgs":true,"family":"Williams","given":"S.","email":"jwilliams@usgs.gov","middleInitial":"Jeffress","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":290859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arsenault, Matthew A.","contributorId":22872,"corporation":false,"usgs":true,"family":"Arsenault","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":290863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buczkowski, Brian J.","contributorId":40299,"corporation":false,"usgs":true,"family":"Buczkowski","given":"Brian J.","affiliations":[],"preferred":false,"id":290864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Jane A. 0000-0003-1771-3894 jareid@usgs.gov","orcid":"https://orcid.org/0000-0003-1771-3894","contributorId":2826,"corporation":false,"usgs":true,"family":"Reid","given":"Jane","email":"jareid@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":290860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":290865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kulp, Mark A.","contributorId":16113,"corporation":false,"usgs":true,"family":"Kulp","given":"Mark A.","affiliations":[],"preferred":false,"id":290862,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Penland, Shea","contributorId":88401,"corporation":false,"usgs":false,"family":"Penland","given":"Shea","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":290866,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jenkins, Chris J.","contributorId":14066,"corporation":false,"usgs":false,"family":"Jenkins","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":290861,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":79779,"text":"pp1731 - 2006 - The Virginia Coastal Plain hydrogeologic framework","interactions":[],"lastModifiedDate":"2026-02-25T14:56:17.123371","indexId":"pp1731","displayToPublicDate":"2007-04-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1731","displayTitle":"The Virginia Coastal Plain Hydrogeologic Framework","title":"The Virginia Coastal Plain hydrogeologic framework","docAbstract":"<p>A refined descriptive hydrogeologic framework of the Coastal Plain of eastern Virginia provides a new perspective on the regional ground-water system by incorporating recent understanding gained by discovery of the Chesapeake Bay impact crater and determination of other geological relations. The seaward-thickening wedge of extensive, eastward-dipping strata of largely unconsolidated sediments is classified into a series of 19 hydrogeologic units, based on interpretations of geophysical logs and allied descriptions and analyses from a regional network of 403 boreholes. </p><p>Potomac aquifer sediments of Early Cretaceous age form the primary ground-water supply resource. The Potomac aquifer is designated as a single aquifer because the fine-grained interbeds, which are spatially highly variable and inherently discontinuous, are not sufficiently dense across a continuous expanse to act as regional barriers to ground-water flow. Part of the Potomac aquifer in the outer part of the Chesapeake Bay impact crater consists of megablock beds, which are relatively undeformed internally but are bounded by widely separated faults. The Potomac aquifer is entirely truncated across the inner part of the crater. The Potomac confining zone approximates a transition from the Potomac aquifer to overlying hydrogeologic units. </p><p>New or revised designations of sediments of Late Cretaceous age that are present only south of the James River include the upper Cenomanian confining unit, the Virginia Beach aquifer and confining zone, and the Peedee aquifer and confining zone. The Virginia Beach aquifer is a locally important ground-water supply resource. </p><p>Sediments of late Paleocene to early Eocene age that compose the Aquia aquifer and overlying Nanjemoy-Marlboro confining unit are truncated along the margin of the Chesapeake Bay impact crater. Sediments of late Eocene age compose three newly designated confining units within the crater, which are from bottom to top, the impact-generated Exmore clast and Exmore matrix confining units, and the Chickahominy confining unit. </p><p>Piney Point aquifer sediments of early Eocene to middle Miocene age overlie most of the Chesapeake Bay impact crater and beyond, but are a locally significant ground-water supply resource only outside of the crater across the middle reaches of the Northern Neck, Middle, and York-James Peninsulas. Sediments of middle Miocene to late Miocene age that compose the Calvert confining unit and overlying Saint Marys confining unit effectively separate the underlying Piney Point aquifer and deeper aquifers from overlying shallow aquifers. Saint Marys aquifer sediments of late Miocene age separate the Calvert and Saint Marys confining units across two limited areas only. </p><p>Sediments of the Yorktown-Eastover aquifer of late Miocene to late Pliocene age form the second most heavily used ground-water supply resource. The Yorktown confining zone approximates a transition to the overlying late Pliocene to Holocene sediments of the surficial aquifer, which extends across the entire land surface in the Virginia Coastal Plain and is a moderately used supply. The Yorktown-Eastover aquifer and the eastern part of the surficial aquifer are closely associated across complex and extensive hydraulic connections and jointly compose a shallow, generally semiconfined ground-water system that is hydraulically separated from the deeper system. </p><p>Vertical faults extend from the basement upward through most of the hydrogeologic units but may be more widespread and ubiquitous than recognized herein, because areas of sparse boreholes do not provide adequate spatial control. Hydraulic conductivity probably is decreased locally by disruption of depositional intergranular structure by fault movement in the generally incompetent sediments. Localized fluid flow in open fractures may be unique in the Chickahominy confining unit. Some hydrogeologic units are partly to wholly truncated where displacements are large relative to unit thickness, resulting in lateral flow barriers or flow conduits. </p><p>The tops of the Saint Marys confining unit, YorktownEastover aquifer, and Yorktown confining zone are widely sculpted by erosion that reflects both the present-day topography and buried paleochannels. Fault displacements across the top surfaces of these hydrogeologic units probably have been beveled by erosion. Additionally, erosion has modified the margins of many hydrogeologic units by truncation along the valleys of major rivers and their tributaries, beneath which underlying hydrogeologic units are incised. As a result, the surficial aquifer is in contact with a “patchwork” of underlying hydrogeologic units that create a complex array of hydraulic connections between the confined and unconfined ground-water systems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1731","isbn":"1411310659","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality","usgsCitation":"McFarland, R.E., and Scott, B.T., 2006, The Virginia Coastal Plain Hydrogeologic Framework: U.S. Geological Survey Professional Paper 1731, Report (x, 119 p.); 25 Plates, https://doi.org/10.3133/pp1731.","productDescription":"Report ix, 118 p.; 25 Plates: 21.16 x 29.87 inches or smaller","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":110720,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81146.htm","linkFileType":{"id":5,"text":"html"},"description":"81146"},{"id":192448,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9467,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/2006/1731/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Virginia","otherGeospatial":"Virginia Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.5,\n              38.5\n            ],\n            [\n              -77.5,\n              36.5\n            ],\n            [\n              -75.5,\n              36.5\n            ],\n            [\n              -75.5,\n              38.5\n            ],\n            [\n              -77.5,\n              38.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d60c","contributors":{"authors":[{"text":"McFarland, E. Randolph 0000-0002-4135-6842 ermcfarl@usgs.gov","orcid":"https://orcid.org/0000-0002-4135-6842","contributorId":195668,"corporation":false,"usgs":true,"family":"McFarland","given":"E.","email":"ermcfarl@usgs.gov","middleInitial":"Randolph","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":290817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruce, T. Scott","contributorId":197588,"corporation":false,"usgs":false,"family":"Bruce","given":"T.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":290816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":79783,"text":"sir20065270 - 2006 - Methods for Adjusting U.S. Geological Survey Rural Regression Peak Discharges in an Urban Setting","interactions":[],"lastModifiedDate":"2012-02-02T00:13:56","indexId":"sir20065270","displayToPublicDate":"2007-04-07T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5270","title":"Methods for Adjusting U.S. Geological Survey Rural Regression Peak Discharges in an Urban Setting","docAbstract":"A study was conducted of 78 U.S. Geological Survey gaged streams that have been subjected to varying degrees of urbanization over the last three decades. Flood-frequency analysis coupled with nonlinear regression techniques were used to generate a set of equations for converting peak discharge estimates determined from rural regression equations to a set of peak discharge estimates that represent known urbanization. Specifically, urban regression equations for the 2-, 5-, 10-, 25-, 50-, 100-, and 500-year return periods were calibrated as a function of the corresponding rural peak discharge and the percentage of impervious area in a watershed. The results of this study indicate that two sets of equations, one set based on imperviousness and one set based on population density, performed well. Both sets of equations are dependent on rural peak discharges, a measure of development (average percentage of imperviousness or average population density), and a measure of homogeneity of development within a watershed. Average imperviousness was readily determined by using geographic information system methods and commonly available land-cover data. Similarly, average population density was easily determined from census data. Thus, a key advantage to the equations developed in this study is that they do not require field measurements of watershed characteristics as did the U.S. Geological Survey urban equations developed in an earlier investigation.\r\n\r\nDuring this study, the U.S. Geological Survey PeakFQ program was used as an integral tool in the calibration of all equations. The scarcity of historical land-use data, however, made exclusive use of flow records necessary for the 30-year period from 1970 to 2000. Such relatively short-duration streamflow time series required a nonstandard treatment of the historical data function of the PeakFQ program in comparison to published guidelines. Thus, the approach used during this investigation does not fully comply with the guidelines set forth in U.S. Geological Survey Bulletin 17B, and modifications may be needed before it can be applied in practice.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20065270","usgsCitation":"Moglen, G.E., and Shivers, D.E., 2006, Methods for Adjusting U.S. Geological Survey Rural Regression Peak Discharges in an Urban Setting: U.S. Geological Survey Scientific Investigations Report 2006-5270, vi, 55 p., https://doi.org/10.3133/sir20065270.","productDescription":"vi, 55 p.","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":191563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9679,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5270/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a0cc","contributors":{"authors":[{"text":"Moglen, Glenn E.","contributorId":106585,"corporation":false,"usgs":false,"family":"Moglen","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":13220,"text":"The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":290824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shivers, Dorianne E.","contributorId":106988,"corporation":false,"usgs":true,"family":"Shivers","given":"Dorianne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":290825,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201467,"text":"70201467 - 2006 - The HRSC DTM test","interactions":[],"lastModifiedDate":"2018-12-13T16:34:21","indexId":"70201467","displayToPublicDate":"2007-03-30T15:45:35","publicationYear":"2006","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"The HRSC DTM test","title":"The HRSC DTM test","docAbstract":"<p>The High Resolution Stereo Camera (HRSC) has been orbiting the planet Mars since January 2004 onboard the ESA Mars Express mission and delivers imagery which is being used for topographic mapping of the planet. The HRSC team is currently conducting a systematic inter-comparison of different alternatives for the production of high resolution Digital Terrain Models (DTMs) from the multilook HRSC push broom imagery. Based on carefully chosen test sites the test participants have produced DTMs which have been subsequently analysed in a quantitative and a qualitative manner. This paper reports on the results obtained in this test.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium of ISPRS Commission IV","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium of ISPRS Commission IV","conferenceDate":"September 25-30, 2006","conferenceLocation":"Goa, India","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","usgsCitation":"Heipke, C., Oberst, J., Albertz, J., Attwenger, M., Dorninger, P., Dorrer, E., Ewe, M., Gehrke, S., Gwinner, K., Hirschmuller, H., Kim, J., Kirk, R.L., Mayer, H., Muller, J., Rengarajan, R., Rentsch, M., Schmidt, R., Scholten, F., Shan, J., Spiegel, M., Wahlisch, M., Neukum, G., and HRSC Co-Investigator Team, 2006, The HRSC DTM test, <i>in</i> Symposium of ISPRS Commission IV, Goa, India, September 25-30, 2006, 15 p.; CD-ROM.","productDescription":"15 p.; CD-ROM","costCenters":[{"id":131,"text":"Astrogeology Science 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