{"pageNumber":"877","pageRowStart":"21900","pageSize":"25","recordCount":68935,"records":[{"id":5224865,"text":"5224865 - 2008 - Sediment ingestion rates in waterfowl (Anatidae) and their use in environmental risk assessment","interactions":[],"lastModifiedDate":"2022-04-14T16:57:38.178076","indexId":"5224865","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Sediment ingestion rates in waterfowl (Anatidae) and their use in environmental risk assessment","docAbstract":"<p><span>When waterfowl (Anatidae) ingest sediment as they feed, they are exposed to the environmental contaminants in those sediments. The rate of ingestion may be key to assessing environmental risk. Rates of sediment ingestion were estimated as from &lt;2% to 22% in 16 species of waterfowl collected in the northeastern United States. The piscivorous red-breasted merganser (</span><i>Mergus serrator</i><span>) ingested sediment at the lowest rate and the benthos-feeding canvasback (</span><i>Aythya valisineria</i><span>) at the highest rate. Sediment ingestion rates were related to diet and to the sediments where waterfowl fed. Waterfowl ingested the least sediment from hard-bottomed habitats with fast-moving water and ingested the most sediment from soft-bottomed areas with slow-moving water. Understanding the greater hazards from contaminants associated with low-flow habitats may help in prioritizing sites to be remediated. The tundra swan (</span><i>Cygnus columbianus</i><span>), which ingests sediment at an estimated 8.4% of its diet, dry weight, is suggested as a potential generic model for use in environmental risk assessments designed to protect waterfowl.</span></p>","language":"English","publisher":"Wiley","doi":"10.1897/IEAM_2007-069.1","usgsCitation":"Beyer, W.N., Perry, M., and Osenton, P.C., 2008, Sediment ingestion rates in waterfowl (Anatidae) and their use in environmental risk assessment: Integrated Environmental Assessment and Management, v. 4, no. 2, p. 246-251, https://doi.org/10.1897/IEAM_2007-069.1.","productDescription":"6 p.","startPage":"246","endPage":"251","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202099,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-04-01","publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685b17","contributors":{"authors":[{"text":"Beyer, W. Nelson 0000-0002-8911-9141 nbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":3301,"corporation":false,"usgs":true,"family":"Beyer","given":"W.","email":"nbeyer@usgs.gov","middleInitial":"Nelson","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":342947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Matthew C. 0000-0001-6452-9534","orcid":"https://orcid.org/0000-0001-6452-9534","contributorId":91601,"corporation":false,"usgs":true,"family":"Perry","given":"Matthew C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":342945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osenton, Peter C.","contributorId":174040,"corporation":false,"usgs":false,"family":"Osenton","given":"Peter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":342946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224858,"text":"5224858 - 2008 - Effect of climate fluctuations on long-term vegetation dynamics in Carolina bay wetlands","interactions":[],"lastModifiedDate":"2012-02-02T00:15:31","indexId":"5224858","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Effect of climate fluctuations on long-term vegetation dynamics in Carolina bay wetlands","docAbstract":"Carolina bays and similar depression wetlands of the U.S. Southeastern Coastal Plain have hydrologic regimes that are driven primarily by rainfall.  Therefore, climate fluctuations such as drought cycles have the potential to shape long-term vegetation dynamics.  Models suggest two potential long-term responses to hydrologic fluctuations, either cyclic change maintaining open emergent vegetation, or directional succession toward forest vegetation.  In seven Carolina bay wetlands on the Savannah River Site, South Carolina, we assessed hydrologic variation and vegetation response over a 15-year period spanning two drought and reinundation cycles.  Changes in pond stage (water depth) were monitored bi-weekly to monthly each year from 1989?2003.  Vegetation composition was sampled in three years (1989, 1993, and 2003) and analyzed in relation to changes in hydrologic conditions.  Multi-year droughts occurred prior to the 1989 and 2003 sampling years, whereas 1993 coincided with a wet period. Wetland plant species generally maintained dominance after both wet and dry conditions, but the abundances of different plant growth forms and species indicator categories shifted over the 15-year period.  Decreased hydroperiods and water depths during droughts led to increased cover of grass, upland, and woody species, particularly at the shallower wetland margins.  Conversely, reinundation and longer hydroperiods resulted in expansion of aquatic and emergent species and reduced the cover of flood-intolerant woody and upland species.  These semi-permanent Upper Coastal Plain bays generally exhibited cyclic vegetation dynamics in response to climate fluctuation, with wet periods favoring dominance by herbaceous species.  Large basin morphology and deep ponding, paired with surrounding upland forest dominated by flood-intolerant pines, were features contributing to persistence of herbaceous vegetation.  Drought cycles may promote directional succession to forest in bays that are smaller, shallower, or colonized by flood-tolerant hardwoods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6914_Stroh.pdf","usgsCitation":"Stroh, C., De Steven, D., and Guntenspergen, G., 2008, Effect of climate fluctuations on long-term vegetation dynamics in Carolina bay wetlands: Wetlands, v. 28, no. 1, p. 17-27.","productDescription":"17-27","startPage":"17","endPage":"27","numberOfPages":"11","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":16900,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.bioone.org/perlserv/?request=get-abstract&doi=10.1672%2F06-117.1","linkFileType":{"id":5,"text":"html"}}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db62574d","contributors":{"authors":[{"text":"Stroh, C.L.","contributorId":77273,"corporation":false,"usgs":true,"family":"Stroh","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":342923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Steven, D.","contributorId":55123,"corporation":false,"usgs":true,"family":"De Steven","given":"D.","affiliations":[],"preferred":false,"id":342922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, G.R. 0000-0002-8593-0244","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":95424,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"G.R.","affiliations":[],"preferred":false,"id":342924,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224864,"text":"5224864 - 2008 - The Overmyer mastodon (Mammut americanum) from Fulton County, Indiana","interactions":[],"lastModifiedDate":"2023-02-09T16:44:28.99952","indexId":"5224864","displayToPublicDate":"2010-06-16T12:18:33","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"The Overmyer mastodon (Mammut americanum) from Fulton County, Indiana","docAbstract":"<p><span>In June 1978 the partial skeleton of an American mastodon,&nbsp;</span><i><span class=\"genus-species\">Mammut americanum</span></i><span>, was salvaged from a drainage ditch in Fulton County, north-central Indiana. The remains were recovered mostly from ca. 170–260 cm below the current land surface in marl overlain by peat and peaty marl. The stratigraphy of the site indicates that the remains were deposited in a small, open-water pond that subsequently filled. The skeleton, which is 41–48% complete, is that of a mature female, ca. 30–34 y old at death based on dental eruption and wear. Postcranial bone measurements indicate that this individual was relatively large for a female. Radiocarbon dating of wood from under the pelvis of the mastodon provided a maximum date of 12,575 ± 260&nbsp;</span><sup>14</sup><span>C y BP [15,550–13,850 cal y BP] for the animal, which is up to 2575&nbsp;</span><sup>14</sup><span>C y before the species is believed to have become extinct. Pollen samples from the site corroborate the interpretation that the regional climate was cooler and more humid than at present and supported a mixed spruce-deciduous parkland assemblage. The relatively small size of the molars of this and other mastodons from Indiana supports the hypothesis that late-glacial mastodons—just prior to their extinction—were smaller in size relative to earlier, full-glacial conspecifics. The relationship between molar size and body size is not clear, however, and there may be geographical factors as well as a temporal influence to size variation in these animals.</span></p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031(2008)159[125:TOMMAF]2.0.CO;2","usgsCitation":"Woodman, N., and Branstrator, J.W., 2008, The Overmyer mastodon (Mammut americanum) from Fulton County, Indiana: American Midland Naturalist, v. 159, no. 1, p. 125-146, https://doi.org/10.1674/0003-0031(2008)159[125:TOMMAF]2.0.CO;2.","productDescription":"22 p.","startPage":"125","endPage":"146","numberOfPages":"22","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":196177,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","county":"Fulton County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.35,\n              41.1525\n            ],\n            [\n              -86.35,\n              41.14\n            ],\n            [\n              -86.34,\n              41.14\n            ],\n            [\n              -86.34,\n              41.1525\n            ],\n            [\n              -86.35,\n              41.1525\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"159","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67ae95","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":342943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branstrator, J. W.","contributorId":105401,"corporation":false,"usgs":false,"family":"Branstrator","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":342944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224863,"text":"5224863 - 2008 - Hierarchical modeling of cluster size in wildlife surveys","interactions":[],"lastModifiedDate":"2013-03-14T13:13:46","indexId":"5224863","displayToPublicDate":"2010-06-16T00:00:00","publicationYear":"2008","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 modeling of cluster size in wildlife surveys","docAbstract":"Clusters or groups of individuals are the fundamental unit of observation in many wildlife sampling problems, including aerial surveys of waterfowl, marine mammals, and ungulates.  Explicit accounting of cluster size in models for estimating abundance is necessary because detection of individuals within clusters is not independent and detectability of clusters is likely to increase with cluster size.  This induces a cluster size bias in which the average cluster size in the sample is larger than in the population at large.  Thus, failure to account for the relationship between delectability and cluster size will tend to yield a positive bias in estimates of abundance or density.  I describe a hierarchical modeling framework for accounting for cluster-size bias in animal sampling.  The hierarchical model consists of models for the observation process conditional on the cluster size distribution and the cluster size distribution conditional on the total number of clusters.  Optionally, a spatial model can be specified that describes variation in the total number of clusters per sample unit.  Parameter estimation, model selection, and criticism may be carried out using conventional likelihood-based methods.  An extension of the model is described for the situation where measurable covariates at the level of the sample unit are available.  Several candidate models within the proposed class are evaluated for aerial survey data on mallard ducks (Anas platyrhynchos).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Agricultural, Biological, and Environmental Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6919_Royle.pdf","usgsCitation":"Royle, J., 2008, Hierarchical modeling of cluster size in wildlife surveys: Journal of Agricultural, Biological, and Environmental Statistics, v. 13, no. 1, p. 23-36.","productDescription":"23-36","startPage":"23","endPage":"36","numberOfPages":"14","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":16903,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.amstat.org/doi/abs/10.1198/108571108X273188","linkFileType":{"id":5,"text":"html"}},{"id":202266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db60518e","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":342942,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70000495,"text":"70000495 - 2008 - Variability in triactinomyxon production from Tubifex tubifex populations from the same mitochondrial DNA lineage infected with Myxobolus cerebralis, the causative agent of whirling disease in salmonids","interactions":[],"lastModifiedDate":"2016-12-29T12:18:35","indexId":"70000495","displayToPublicDate":"2010-06-01T23:09:21","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Variability in triactinomyxon production from Tubifex tubifex populations from the same mitochondrial DNA lineage infected with Myxobolus cerebralis, the causative agent of whirling disease in salmonids","docAbstract":"Myxobolus cerebralis, the causative agent of whirling disease, infects both salmonid fish and an aquatic oligochaete, Tubifex tubifex. Although M. cerebralis has been detected in river drainages throughout the United States, disease severity among wild fish populations has been highly variable. Tubifex tubifex populations have been genetically characterized using sequences from the 16S mitochondrial DNA (mtDNA) gene, the 18S ribosomal RNA gene, the internal transcribed spacer region 1 (ITS1), and randomly amplified polymorphic DNA (RAPD). Our earlier work indicated that large differences in compatibility between the parasite and populations of T. tubifex may play a substantial role in the distribution of whirling disease and resulting mortality in different watersheds. In the present study, we examined 4 laboratory populations of T. tubifex belonging to 16S mtDNA lineage III and 1 population belonging to 16S mtDNA lineage I for triactinomyxon (TAM) production after infection with M. cerebralis myxospores. All 4 16S mtDNA lineage III populations produced TAMs, but statistically significant differences in TAM production were observed. Most individuals in the 16S mtDNA lineage III-infected populations produced TAMs. The 16S mtDNA lineage I population produced few TAMs. Further genetic characterization of the 16S mtDNA lineage III populations with RAPD markers indicated that populations producing similar levels of TAMs had more genetic similarity. ?? American Society of Parasitologists 2008.","language":"English","publisher":"American Society of Parasitologists","doi":"10.1645/GE-1274R.1","issn":"00223395","usgsCitation":"Rasmussen, C., Zickovich, J., Winton, J., and Kerans, B., 2008, Variability in triactinomyxon production from Tubifex tubifex populations from the same mitochondrial DNA lineage infected with Myxobolus cerebralis, the causative agent of whirling disease in salmonids: Journal of Parasitology, v. 94, no. 3, p. 700-708, https://doi.org/10.1645/GE-1274R.1.","productDescription":"9 p. ","startPage":"700","endPage":"708","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":18905,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1645/GE-1274R.1"},{"id":203579,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602bd4","contributors":{"authors":[{"text":"Rasmussen, C.","contributorId":66392,"corporation":false,"usgs":true,"family":"Rasmussen","given":"C.","email":"","affiliations":[],"preferred":false,"id":346049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zickovich, J.","contributorId":28724,"corporation":false,"usgs":true,"family":"Zickovich","given":"J.","email":"","affiliations":[],"preferred":false,"id":346048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winton, J. R. 0000-0002-3505-5509","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":82441,"corporation":false,"usgs":true,"family":"Winton","given":"J. R.","affiliations":[],"preferred":false,"id":346050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kerans, B.L.","contributorId":93610,"corporation":false,"usgs":true,"family":"Kerans","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":346051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98197,"text":"sir20095226 - 2008 - Potentiometric Surfaces and Changes in Groundwater Levels in Selected Bedrock Aquifers in the Twin Cities Metropolitan Area, March-August 2008 and 1988-2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"sir20095226","displayToPublicDate":"2010-02-13T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5226","title":"Potentiometric Surfaces and Changes in Groundwater Levels in Selected Bedrock Aquifers in the Twin Cities Metropolitan Area, March-August 2008 and 1988-2008","docAbstract":"This report depicts potentiometric surfaces and groundwater- level changes in three aquifers that underlie the seven-county Twin Cities Metropolitan Area. Approximately 350 groundwater levels were measured in wells from the three aquifers-the Prairie du Chien-Jordan, the Franconia-Ironton-Galesville, and the Mount Simon-Hinckley aquifers-in March and August of 2008. The report presents maps, associated data tables, and 22 geographic information system datasets. The maps presented in this report show the potentiometric surfaces in March and August of 2008 for all three aquifers, groundwater-level changes from March to August 2008 for each aquifer, and revised potentiometric-surface contours for the winter of 1988-89 for the Prairie du Chien-Jordan and the Mount Simon-Hinckley aquifers, and the estimated long-term (winter of 1988-89 to March 2008) groundwater-level changes for the Prairie du Chien-Jordan and Mount Simon-Hinckley aquifers. This report documents the methods used to construct the maps and provides a context for the period of the measurements.\r\n\r\nAlthough withdrawal demand is increasing in the Twin Cities Metropolitan area, particularly in the Prairie du Chien-Jordan aquifer, year-to-year changes in withdrawals can be substantial, and the relation between potentiometric surfaces in the major aquifers and year-to-year withdrawals is not well established. The estimated long-term (19-year) groundwater-level changes for the Prairie du Chien-Jordan and Mount Simon-Hinckley aquifers have not been large based on data and maps produced during this study, despite the large seasonal fluctuations shown by the March and August 2008 synoptic measurements.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095226","usgsCitation":"Sanocki, C.A., Langer, S.K., and Menard, J.C., 2008, Potentiometric Surfaces and Changes in Groundwater Levels in Selected Bedrock Aquifers in the Twin Cities Metropolitan Area, March-August 2008 and 1988-2008: U.S. Geological Survey Scientific Investigations Report 2009-5226, Report: iv, 67 p.; Downloads Directory , https://doi.org/10.3133/sir20095226.","productDescription":"Report: iv, 67 p.; Downloads Directory ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":199351,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13441,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5226/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,44.5 ], [ -94,45.333333333333336 ], [ -92.75,45.333333333333336 ], [ -92.75,44.5 ], [ -94,44.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac3e4b07f02db678773","contributors":{"authors":[{"text":"Sanocki, Christopher A.","contributorId":100432,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langer, Susan K. slanger@usgs.gov","contributorId":107824,"corporation":false,"usgs":true,"family":"Langer","given":"Susan","email":"slanger@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":false,"id":304641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menard, Jason C.","contributorId":19661,"corporation":false,"usgs":true,"family":"Menard","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":304639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224837,"text":"5224837 - 2008 - Population dynamics of the Concho water snake in rivers and reservoirs","interactions":[],"lastModifiedDate":"2016-10-19T14:05:36","indexId":"5224837","displayToPublicDate":"2010-01-01T12:18:34","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of the Concho water snake in rivers and reservoirs","docAbstract":"<p><span>The Concho Water Snake (</span><i>Nerodia harteri paucimaculata</i><span>) is confined to the Concho–Colorado River valley of central Texas, thereby occupying one of the smallest geographic ranges of any North American snake. In 1986, </span><i>N. h. paucimaculata</i><span> was designated as a federally threatened species, in large part because of reservoir projects that were perceived to adversely affect the amount of habitat available to the snake. During a ten-year period (1987–1996), we conducted capture–recapture field studies to assess dynamics of five subpopulations of snakes in both natural (river) and man-made (reservoir) habitats. Because of differential sampling of subpopulations, we present separate results for all five subpopulations combined (including large reservoirs) and three of the five subpopulations (excluding large reservoirs). We used multistate capture–recapture models to deal with stochastic transitions between pre-reproductive and reproductive size classes and to allow for the possibility of different survival and capture probabilities for the two classes. We also estimated both the finite rate of increase (λ) for a deterministic, stage-based, female-only matrix model using the average litter size, and the average rate of adult population change, λ ˆ, which describes changes in numbers of adult snakes, using a direct capture–recapture approach to estimation. Average annual adult survival was about 0.23 and similar for males and females. Average annual survival for subadults was about 0.14. The parameter estimates from the stage-based projection matrix analysis all yielded asymptotic values of λ &lt; 1, suggesting populations that are not viable. However, the direct estimates of average adult λ for the three subpopulations excluding major reservoirs were λ ˆ  =  1.26, </span><i>SE</i><span> ˆ(λ ˆ)  =  0.18 and λ ˆ  =  0.99, </span><i>SE</i><span> ˆ(λ ˆ)  =  0.79, based on two different models. Thus, the direct estimation approach did not provide strong evidence of population declines of the riverine subpopulations, but the estimates are characterized by substantial uncertainty.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-06-271","usgsCitation":"Whiting, M., Dixon, J., Greene, B., Mueller, J., Thornton, O., Hatfield, J., Nichols, J., and Hines, J., 2008, Population dynamics of the Concho water snake in rivers and reservoirs: Copeia, v. 2008, no. 2, p. 438-445, https://doi.org/10.1643/CE-06-271.","productDescription":"8 p.","startPage":"438","endPage":"445","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202960,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2008","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db683f95","contributors":{"authors":[{"text":"Whiting, M.J.","contributorId":84880,"corporation":false,"usgs":true,"family":"Whiting","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":342849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, J.R.","contributorId":106057,"corporation":false,"usgs":true,"family":"Dixon","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":342850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, B.D.","contributorId":24477,"corporation":false,"usgs":true,"family":"Greene","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":342844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, J.M.","contributorId":45429,"corporation":false,"usgs":true,"family":"Mueller","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":342847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thornton, O.W. Jr.","contributorId":82261,"corporation":false,"usgs":true,"family":"Thornton","given":"O.W.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":342848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatfield, Jeff S.","contributorId":41372,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff S.","affiliations":[],"preferred":false,"id":342846,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":342843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":342845,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035300,"text":"70035300 - 2008 - Electrical characterization of non‐Fickian transport in groundwater and hyporheic systems","interactions":[],"lastModifiedDate":"2019-10-21T11:57:31","indexId":"70035300","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Electrical characterization of non‐Fickian transport in groundwater and hyporheic systems","docAbstract":"<p><span>Recent work indicates that processes controlling solute mass transfer between mobile and less mobile domains in porous media may be quantified by combining electrical geophysical methods and electrically conductive tracers. Whereas direct geochemical measurements of solute preferentially sample the mobile domain, electrical geophysical methods are sensitive to changes in bulk electrical conductivity (bulk EC) and therefore sample EC in both the mobile and immobile domains. Consequently, the conductivity difference between direct geochemical samples and remotely sensed electrical geophysical measurements may provide an indication of mass transfer rates and mobile and immobile porosities in situ. Here we present (1) an overview of a theoretical framework for determining parameters controlling mass transfer with electrical resistivity in situ; (2) a review of a case study estimating mass transfer processes in a pilot‐scale aquifer storage recovery test; and (3) an example application of this method for estimating mass transfer in watershed settings between streams and the hyporheic corridor. We demonstrate that numerical simulations of electrical resistivity studies of the stream/hyporheic boundary can help constrain volumes and rates of mobile‐immobile mass transfer. We conclude with directions for future research applying electrical geophysics to understand field‐scale transport in aquifer and fluvial systems subject to rate‐limited mass transfer.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2008WR007048","usgsCitation":"Singha, K., Pidlisecky, A., Day-Lewis, F.D., and Gooseff, M.N., 2008, Electrical characterization of non‐Fickian transport in groundwater and hyporheic systems: Water Resources Research, v. 44, no. 4, W00D07; 14 p., https://doi.org/10.1029/2008WR007048.","productDescription":"W00D07; 14 p.","ipdsId":"IP-006019","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476562,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008wr007048","text":"Publisher Index Page"},{"id":243008,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-11-05","publicationStatus":"PW","scienceBaseUri":"505a088ee4b0c8380cd51b80","contributors":{"authors":[{"text":"Singha, Kamini","contributorId":76733,"corporation":false,"usgs":true,"family":"Singha","given":"Kamini","affiliations":[],"preferred":false,"id":450082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pidlisecky, Adam","contributorId":94877,"corporation":false,"usgs":true,"family":"Pidlisecky","given":"Adam","email":"","affiliations":[],"preferred":false,"id":450083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":450081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gooseff, Michael N.","contributorId":71880,"corporation":false,"usgs":true,"family":"Gooseff","given":"Michael","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":450080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192444,"text":"70192444 - 2008 - MIKE SHE: Software for integrated surface water/ground water modeling","interactions":[],"lastModifiedDate":"2017-12-14T17:09:09","indexId":"70192444","displayToPublicDate":"2009-10-25T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"MIKE SHE: Software for integrated surface water/ground water modeling","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2008.00500.x","usgsCitation":"Hughes, J.D., and Liu, J., 2008, MIKE SHE: Software for integrated surface water/ground water modeling: Groundwater, v. 46, no. 6, p. 797-802, https://doi.org/10.1111/j.1745-6584.2008.00500.x.","productDescription":"6 p.","startPage":"797","endPage":"802","ipdsId":"IP-010070","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":347492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2008-10-23","publicationStatus":"PW","scienceBaseUri":"5a07fa9ce4b09af898c8ce2b","contributors":{"authors":[{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":716436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Jie","contributorId":201274,"corporation":false,"usgs":false,"family":"Liu","given":"Jie","email":"","affiliations":[],"preferred":false,"id":725112,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5211433,"text":"5211433 - 2008 - Environmental contaminant hazards to wildlife at National Capital region and Mid-Atlantic National Park Service units","interactions":[],"lastModifiedDate":"2012-02-02T00:15:23","indexId":"5211433","displayToPublicDate":"2009-06-09T09:23:20","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Environmental contaminant hazards to wildlife at National Capital region and Mid-Atlantic National Park Service units","docAbstract":"Pollutant data for air, water, soil and biota were compiled from databases and internet sources and by staff interviews at 23 National Park Service (NPS) units in 2005.  A metric was derived describing the quality and quantity of data for each park, and in combination with known contaminant threats, the need for ecotoxicological study was identified and ranked.  Over half of NP units were near Toxic Release Inventory sites discharging persistent pollutants, and fish consumption advisories were in effect at or near 22 of the units.  Pesticide and herbicide use was found to be minimal, with the exception of those units with agricultural leases.  Only 70 reports were found that describe terrestrial vertebrate environmental contaminant data at or near the units.  Of the >75,000 compounds in commerce, empirical exposure data were limited to merely 58 halogenated compounds, insecticides, rodenticides, metals, and some contemporary compounds.  Further ecotoxicological monitoring and research is warranted at several units including Shenandoah National Park, Richmond National Battlefield Park, Chesapeake & Ohio Canal National Historical Park, Valley Forge National Historical Park, Hopewell Furnace National Historic Site, Monocacy National Battlefield, and Harpers Ferry National Historical Park.  The types of investigations vary according to the wildlife species present and potential contaminant threats, but should focus on contemporary use pesticides and herbicides, polychlorinated biphenyls, mercury, lead, and perhaps antibiotics, flame retardants, pharmaceuticals, and surfactants.  Other management recommendations include inclusion of screening level contaminant risk assessments into the NPS Vital Signs Program, development of protocols for toxicological analysis of seemingly affected wildlife, alternative methods and compounds for pest management, and use of non-toxic fishing tackle by visitors.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rethinking Protected Areas in a Changing World: Proceedings of the 2007 George Wright Society Biennial Conference on parks, protected areas & cultural sites, April 16-20, 2007, St. Paul, Minnesota.","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"George Wright Society","publisherLocation":"Hancock, Michigan","collaboration":"  PDF on file: 6953_Rattner.pdf","usgsCitation":"Rattner, B., and Ackerson, B., 2008, Environmental contaminant hazards to wildlife at National Capital region and Mid-Atlantic National Park Service units, chap. <i>of</i> Rethinking Protected Areas in a Changing World: Proceedings of the 2007 George Wright Society Biennial Conference on parks, protected areas & cultural sites, April 16-20, 2007, St. Paul, Minnesota., p. 307-311.","startPage":"307","endPage":"311","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202513,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db667298","contributors":{"editors":[{"text":"Weber, S.","contributorId":102823,"corporation":false,"usgs":true,"family":"Weber","given":"S.","email":"","affiliations":[],"preferred":false,"id":508118,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Harmon, David","contributorId":111703,"corporation":false,"usgs":true,"family":"Harmon","given":"David","email":"","affiliations":[],"preferred":false,"id":508119,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":95843,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett A.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":331024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerson, B.K.","contributorId":20853,"corporation":false,"usgs":true,"family":"Ackerson","given":"B.K.","email":"","affiliations":[],"preferred":false,"id":331023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5211451,"text":"5211451 - 2008 - Wildlife values of North American ricelands","interactions":[],"lastModifiedDate":"2012-02-02T00:15:23","indexId":"5211451","displayToPublicDate":"2009-06-09T09:23:20","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Wildlife values of North American ricelands","docAbstract":"Ricelands have become an indispensable component of waterbird habitat and a leading example of integrating agricultural and natural resource management in the Mississippi Alluvial Valley, Gulf Coast, and Central California.  Residual rice, weed seeds, and invertebrates provide food for many avian species during fall and winter.  In North America, considerable information exists on the use of ricefields by wintering waterbirds, the value of ricelands as breeding habitat for birds, and the effects of organic chemicals on birds that- feed in ricefields.  Recent research has also examined the influence of field management practices, such as winter flooding and post-harvest straw manipulation, on the suitability of ricefields for wildlife.  Whereas early studies focused on detrimental effects of wildlife on rice production (e.g., crop depredation), it has become apparent that waterbirds may benefit producers by enhancing straw decomposition, reducing weed and pest pressure, and providing additional income through hunting and wildlife viewing opportunities.  A comprehensive evaluation of agronomic and environmental issues is needed to meet the challenges of producing food and sustaining wildlife in twenty-first-century rice lands.  Changes in agricultural markets, pressures of increased urban development, conflicting needs for limited resources such as water, endangered species constraints, and concerns over water quality must be addressed in developing a sustainable, mutually beneficial partnership among the rice industry, wildlife, and environmental interests.  Research is also needed to evaluate potential reductions in the wildlife carrying capacity of ricelands resulting from new harvest and field management techniques, crop conversion, or loss of rice acreage.  Key uncertainties include: (1) changes in waste grain abundance and availability due to various harvest and post-harvest management practices; (2) evaluating food depletion by birds feeding in rice6elds and derermining threshold food levels required to maintain bird use; (3) quantifying use of ricefields by nonwaterfowl species throughout the year; and (4) determining the amount and distribution of rice habitat needed to meet objectives of the North American Waterfowl Management Plan and the United States Shorebird Conservation Plan.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conservation in ricelands of North America","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"The Rice Foundation","publisherLocation":"Stuttgart, Arkansas","usgsCitation":"Eadie, J., Elphick, C., Reinecke, K.J., and Miller, M.R., 2008, Wildlife values of North American ricelands, chap. <i>of</i> Conservation in ricelands of North America, p. 7-90.","productDescription":"180","startPage":"7","endPage":"90","numberOfPages":"180","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202970,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db6857e7","contributors":{"editors":[{"text":"Manley, Scott W.","contributorId":111335,"corporation":false,"usgs":true,"family":"Manley","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":508151,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Eadie, J.M.","contributorId":8034,"corporation":false,"usgs":true,"family":"Eadie","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":331092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elphick, C.S.","contributorId":66388,"corporation":false,"usgs":true,"family":"Elphick","given":"C.S.","affiliations":[],"preferred":false,"id":331095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reinecke, K. J.","contributorId":54537,"corporation":false,"usgs":true,"family":"Reinecke","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":331094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, M. R.","contributorId":19104,"corporation":false,"usgs":true,"family":"Miller","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":331093,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5211461,"text":"5211461 - 2008 - Estimating total population size for adult female sea turtles: Accounting for non-nesters","interactions":[],"lastModifiedDate":"2012-02-02T00:15:27","indexId":"5211461","displayToPublicDate":"2009-06-09T09:23:20","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating total population size for adult female sea turtles: Accounting for non-nesters","docAbstract":"Assessment of population size and changes therein is important to sea turtle management and population or life history research.  Investigators might be interested in testing hypotheses about the effect of current population size or density (number of animals per unit resource) on future population processes.  Decision makers might want to determine a level of allowable take of individual turtles of specified life stage.  Nevertheless, monitoring most stages of sea turtle life histories is difficult, because obtaining access to individuals is difficult.  Although in-water assessments are becoming more common, nesting females and their hatchlings remain the most accessible life stages.  In some cases adult females of a given nesting population are sufficiently philopatric that the population itself can be well defined.  If a well designed tagging study is conducted on this population, survival, breeding probability, and the size of the nesting population in a given year can be estimated.  However, with published statistical methodology the size of the entire breeding population (including those females skipping nesting in that year) cannot be estimated without assuming that each adult female in this population has the same probability of nesting in a given year (even those that had just nested in the previous year).  We present a method for estimating the total size of a breeding population (including nesters those skipping nesting) from a tagging study limited to the nesting population, allowing for the probability of nesting in a given year to depend on an individual's nesting status in the previous year (i.e., a Markov process).  From this we further develop estimators for rate of growth from year to year in both nesting population and total breeding population, and the proportion of the breeding population that is breeding in a given year.  We also discuss assumptions and apply these methods to a breeding population of hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean.  We anticipate that this method could also be useful for in-water studies of well defined populations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Twenty-seventh Annual Symposium on Sea Turtle Biology and Conservation : 22 to 28 February 2007, Myrtle Beach, South Carolina, USA","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center","publisherLocation":"Miami, Florida","collaboration":"OCLC: 252236814","usgsCitation":"Kendall, W., and Richardson, J., 2008, Estimating total population size for adult female sea turtles: Accounting for non-nesters, chap. <i>of</i> Proceedings of the Twenty-seventh Annual Symposium on Sea Turtle Biology and Conservation : 22 to 28 February 2007, Myrtle Beach, South Carolina, USA.","productDescription":"xxxiv, 261","startPage":"239 (abs)","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202990,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fc034","contributors":{"editors":[{"text":"Rees, Alan F.","contributorId":112862,"corporation":false,"usgs":true,"family":"Rees","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":508179,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"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":331127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, J.I.","contributorId":46200,"corporation":false,"usgs":true,"family":"Richardson","given":"J.I.","email":"","affiliations":[],"preferred":false,"id":331128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97529,"text":"ofr20081152 - 2008 - Fischer-assays of oil-shale drill cores and rotary cuttings from the greater Green River basin, southwestern Wyoming","interactions":[],"lastModifiedDate":"2022-06-28T19:44:44.014256","indexId":"ofr20081152","displayToPublicDate":"2009-05-20T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1152","title":"Fischer-assays of oil-shale drill cores and rotary cuttings from the greater Green River basin, southwestern Wyoming","docAbstract":"<p>Chapter 1 of this CD–ROM is a database of digitized Fischer (shale-oil) assays of cores and cuttings from boreholes drilled in the Eocene Green River oil shale deposits in southwestern Wyoming. Assays of samples from some surface sections are also included. Most of the Fischer assay analyses were made by the former U.S. Bureau of Mines (USBM) at its laboratory in Laramie, Wyoming. Other assays, made by institutional or private laboratories, were donated to the U.S. Geological Survey (USGS) and are included in this database as well as Adobe PDF-scanned images of some of the original laboratory assay reports and lithologic logs prepared by USBM geologists. The size of this database is 75.2 megabytes and includes information on 971 core holes and rotary-drilled boreholes and numerous surface sections. Most of these data were released previously by the USBM and the USGS through the National Technical Information Service but are no longer available from that agency. Fischer assays for boreholes in northeastern Utah and northwestern Colorado have been published by the USGS.</p><p>Additional data include geophysical logs, groundwater data, chemical and X-ray diffraction analyses, and other data. These materials are available for inspection in the office of the USGS Central Energy Resources Team in Lakewood, Colorado. The digitized assays were checked with the original laboratory reports, but some errors likely remain. Other information, such as locations and elevations of core holes and oil and gas tests, were not thoroughly checked. However, owing to the current interest in oil-shale development, it was considered in the public interest to make this preliminary database available at this time.</p><p>Chapter 2 of this CD–ROM presents oil-yield histograms of samples of cores and cuttings from exploration drill holes in the Eocene Green River Formation in the Great Divide, Green River, and Washakie Basins of southwestern Wyoming. A database was compiled that includes about 47,000 Fischer assays from 186 core holes and 240 rotary drill holes. Most of the oil yield data are from analyses performed by the former U.S. Bureau of Mines oil shale laboratory in Laramie, Wyoming, with some analyses made by private laboratories. Location data for 971 Wyoming oil-shale drill holes are listed in a spreadsheet that is included in the CD–ROM.</p><p>These Wyoming Fischer assays and histograms are part of a much larger collection of oil-shale information, including geophysical and lithologic logs, water data, chemical and X-ray diffraction analyses on the Green River oil-shale deposits in Colorado, Utah, and Wyoming held by the U.S. Geological Survey. Because of an increased interest in oil shale, this CD–ROM containing Fischer assay data and oil-yield histograms for the Green River oil-shale deposits in southwestern Wyoming is being released to the public.</p><p>Microsoft Excel spreadsheets included with Chapter 2 contain the Fischer assay data from the 426 holes and data on the company name and drill-hole name, and location. Histograms of the oil yields obtained from the Fischer assays are presented in both Grapher and PDF format. Fischer assay text data files are also included in the CD–ROM.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081152","isbn":"9781411321847","usgsCitation":"U.S. Geological Survey Oil Shale Assessment Team, 2008, Fischer-assays of oil-shale drill cores and rotary cuttings from the greater Green River basin, southwestern Wyoming (Version 1.0): U.S. Geological Survey Open-File Report 2008-1152, Chapter 1: ii, 16 p.; Chapter 2: ii, 10 p.; Downloads Directory, https://doi.org/10.3133/ofr20081152.","productDescription":"Chapter 1: ii, 16 p.; Chapter 2: ii, 10 p.; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121065,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2008_1152.jpg"},{"id":402632,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93981.htm","linkFileType":{"id":5,"text":"html"}},{"id":14088,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1152/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.9619140625,\n              40.98819156349393\n            ],\n            [\n              -106.171875,\n              40.98819156349393\n            ],\n            [\n              -106.171875,\n              42.65012181368022\n            ],\n            [\n              -110.9619140625,\n              42.65012181368022\n            ],\n            [\n              -110.9619140625,\n              40.98819156349393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f46b0","contributors":{"authors":[{"text":"U.S. Geological Survey Oil Shale Assessment Team","contributorId":128035,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Oil Shale Assessment Team","id":535011,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97490,"text":"cir1312 - 2008 - Ground water on tropical Pacific Islands— Understanding a vital resource","interactions":[],"lastModifiedDate":"2021-09-02T20:32:25.340412","indexId":"cir1312","displayToPublicDate":"2009-05-09T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1312","title":"Ground water on tropical Pacific Islands— Understanding a vital resource","docAbstract":"To a casual observer, tropical Pacific islands seem idyllic. Closer scrutiny reveals that their generally small size makes them particularly vulnerable to economic and environmental stresses imposed by rapidly growing populations, increasing economic development, and global climate change. On these islands, freshwater is one of the most precious resources. Ground water is the main source of drinking water on many islands, and for quite a few islands, it is the only reliable source of water throughout the year. Faced with a growing demand for this valuable resource, and the potential negative effects on its availability and quality from changes in global climate, increasingly sophisticated management approaches will be needed to ensure a dependable supply of freshwater for the residents of these islands. \r\n\r\nMuch scientific information has been collected by the U.S. Geological Survey (USGS) and other organizations about the ground-water resources of tropical Pacific islands. The aim of this Circular is to give members of the public, policymakers, and other stakeholders knowledge that will help ensure that this information can be used to make informed decisions about the management of these life-giving resources. \r\n\r\nAs the demand for freshwater grows, new monitoring and research efforts will be needed to (1) characterize the extent and sustainability of ground-water resources on different tropical Pacific islands, (2) better understand linkages between ground-water discharge and freshwater and nearshore ecosystems, and (3) prepare for the effects of climate change, which will likely include the loss of habitable land and reduced areas for the accumulation of ground water as a result of rising sea levels.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/cir1312","isbn":"9781411318595","usgsCitation":"Tribble, G., 2008, Ground water on tropical Pacific Islands— Understanding a vital resource (Version 1.0): U.S. Geological Survey Circular 1312, vi, 35 p., https://doi.org/10.3133/cir1312.","productDescription":"vi, 35 p.","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":195131,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":388813,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86627.htm"},{"id":12637,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1312/","linkFileType":{"id":5,"text":"html"}}],"country":"Republic of the Marshall Islands","otherGeospatial":"Laura area of Majuro Atoll","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              170.8428955078125,\n              6.980954426458497\n            ],\n            [\n              171.44439697265625,\n              6.980954426458497\n            ],\n            [\n              171.44439697265625,\n              7.318881730366756\n            ],\n            [\n              170.8428955078125,\n              7.318881730366756\n            ],\n            [\n              170.8428955078125,\n              6.980954426458497\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66dd33","contributors":{"authors":[{"text":"Tribble, Gordon","contributorId":32632,"corporation":false,"usgs":true,"family":"Tribble","given":"Gordon","affiliations":[],"preferred":false,"id":302279,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97431,"text":"ds398 - 2008 - EAARL coastal topography– Northeast barrier islands 2007: Bare earth","interactions":[],"lastModifiedDate":"2022-04-29T21:07:14.055866","indexId":"ds398","displayToPublicDate":"2009-04-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"398","title":"EAARL coastal topography– Northeast barrier islands 2007: Bare earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the northeast coastal barrier islands in New York and New Jersey, acquired April 29-30 and May 15-16, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds398","usgsCitation":"Nayegandhi, A., Brock, J., Sallenger, A., Wright, C.W., Yates, X., and Bonisteel, J.M., 2008, EAARL coastal topography– Northeast barrier islands 2007: Bare earth: U.S. Geological Survey Data Series 398, HTML Document; 1 DVD-ROM, https://doi.org/10.3133/ds398.","productDescription":"HTML Document; 1 DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-04-26","temporalEnd":"2007-05-16","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":195467,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":399954,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86505.htm"},{"id":12568,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/398/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.08333333333333,40.25 ], [ -74.08333333333333,41.1175 ], [ -71.75,41.1175 ], [ -71.75,40.25 ], [ -74.08333333333333,40.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f462","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":302102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":302103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302099,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97430,"text":"ds397 - 2008 - EAARL coastal topography–Northeast Barrier Islands 2007: First surface","interactions":[],"lastModifiedDate":"2023-06-15T12:13:34.672336","indexId":"ds397","displayToPublicDate":"2009-04-11T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"397","title":"EAARL coastal topography–Northeast Barrier Islands 2007: First surface","docAbstract":"<p>These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced collaboratively by the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. This project provides highly detailed and accurate datasets of the northeast coastal barrier islands in New York and New Jersey, acquired April 29-30 and May 15-16, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. Elevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds397","usgsCitation":"Nayegandhi, A., Brock, J., Sallenger, A., Wright, C.W., Yates, X., and Bonisteel, J.M., 2008, EAARL coastal topography–Northeast Barrier Islands 2007: First surface: U.S. Geological Survey Data Series 397, DVD-ROM, https://doi.org/10.3133/ds397.","productDescription":"DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-04-29","temporalEnd":"2007-05-16","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195383,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":388255,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86504.htm"},{"id":12567,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/397/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.08333333333333,40.25 ], [ -74.08333333333333,41.1175 ], [ -71.75,41.1175 ], [ -71.75,40.25 ], [ -74.08333333333333,40.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f48a","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":302096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":302097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302093,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97421,"text":"sir20085236 - 2008 - Ground-Water Availability in the Wailuku Area, Maui, Hawai'i","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085236","displayToPublicDate":"2009-04-10T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-5236","title":"Ground-Water Availability in the Wailuku Area, Maui, Hawai'i","docAbstract":"Most of the public water supply in Maui, Hawai'i, is from a freshwater lens in the Wailuku area of the island. Because of population growth, ground-water withdrawals from wells in this area increased from less than 10 Mgal/d during 1970 to about 23 Mgal/d during 2006. In response to increased withdrawals from the freshwater lens in the Wailuku area, water levels declined, the transition zone between freshwater and saltwater became shallower, and the chloride concentrations of water pumped from wells increased. These responses led to concern over the long-term sustainability of withdrawals from existing and proposed wells. \r\n\r\nA three-dimensional numerical ground-water flow and transport model was developed to simulate the effects of selected withdrawal and recharge scenarios on water levels, on the transition zone between freshwater and saltwater, and on surface-water/ground-water interactions. The model was constructed using time-varying recharge, withdrawals, and ocean levels. Hydraulic characteristics used to construct the model were initially based on published estimates but ultimately were varied to obtain better agreement between simulated and measured water levels and salinity profiles in the modeled area during the period 1926-2006. Scenarios included ground-water withdrawal at 2006 and 1996 rates and locations with average recharge (based on 2000-04 land use and 1926-2004 rainfall) and withdrawal at redistributed rates and locations with several different recharge scenarios. Simulation results indicate that continuing 1996 and 2006 withdrawal distributions into the future results in decreased water levels, a thinner freshwater lens, increased salinity from pumped wells, and higher salinity at several current withdrawal sites. \r\n\r\nA redistributed withdrawal condition in which ground-water withdrawal was redistributed to maximize withdrawal and minimize salinities in the withdrawn water was determined. The redistributed withdrawal simulates 27.1 Mgal/d of withdrawal from 14 wells or well fields in the Wailuku area. Simulation results from the five scenarios that include redistributed withdrawal conditions indicate the following for the Wailuku Aquifer Sector: (1) withdrawal during times of average recharge rates cause average water levels to decrease 2-3 ft and the transition zone to become more than 200 ft shallower after 150 years; (2) a 5-yr drought condition similar to the 1998-2002 drought results in additional salinity increases after 30 years (12.5 years of normal recharge after drought conditions) but only one well has salinity increases of concern; (3) additional recharge from restored streamflow significantly increases water levels, thickens the freshwater body, and decreases salinity at withdrawal sites in the Waihe'e and 'Iao Aquifer Systems; and (4) a complete removal of irrigation recharge decreases water levels and increases salinity in the central isthmus where irrigation is reduced, but recharge through restored streams still significantly increases water levels, thickens the freshwater body, and decreases salinity at withdrawal sites in the Waihe'e and 'Iao Aquifer Systems.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085236","collaboration":"Prepared in cooperation with the County of Maui Department of Water Supply","usgsCitation":"Gingerich, S.B., 2008, Ground-Water Availability in the Wailuku Area, Maui, Hawai'i (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5236, x, 95 p., https://doi.org/10.3133/sir20085236.","productDescription":"x, 95 p.","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":195307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12557,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5236/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.75,20.583333333333332 ], [ -156.75,21.083333333333332 ], [ -156.25,21.083333333333332 ], [ -156.25,20.583333333333332 ], [ -156.75,20.583333333333332 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a54ee","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302053,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97358,"text":"ds389 - 2008 - EAARL topography: Jean Lafitte National Historical Park and Preserve 2006","interactions":[],"lastModifiedDate":"2026-01-23T16:08:13.280497","indexId":"ds389","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"389","title":"EAARL topography: Jean Lafitte National Historical Park and Preserve 2006","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) and bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Jean Lafitte National Historical Park and Preserve in Louisiana, acquired on September 22, 2006. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds389","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Segura, M., and Yates, X., 2008, EAARL topography: Jean Lafitte National Historical Park and Preserve 2006: U.S. Geological Survey Data Series 389, HTML Document, DVD-ROM, https://doi.org/10.3133/ds389.","productDescription":"HTML Document, DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194991,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":420181,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86437.htm","linkFileType":{"id":5,"text":"html"}},{"id":12417,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/389/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Jean Lafitte National Historical Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.25,\n              29.875\n            ],\n            [\n              -90.25,\n              29.725\n            ],\n            [\n              -90.0833,\n              29.725\n            ],\n            [\n              -90.0833,\n              29.875\n            ],\n            [\n              -90.25,\n              29.875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c5c7","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":301821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":301822,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97362,"text":"ds392 - 2008 - EAARL topography - Natchez Trace Parkway 2007: First surface","interactions":[],"lastModifiedDate":"2022-07-22T18:49:55.502374","indexId":"ds392","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"392","title":"EAARL topography - Natchez Trace Parkway 2007: First surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the Natchez Trace Parkway in Mississippi, acquired on September 14, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds392","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Segura, M., and Yates, X., 2008, EAARL topography - Natchez Trace Parkway 2007: First surface: U.S. Geological Survey Data Series 392, HTML Document, https://doi.org/10.3133/ds392.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":195571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":404379,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86441.htm","linkFileType":{"id":5,"text":"html"}},{"id":12421,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/392/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.8236,\n              32.05\n            ],\n            [\n              -89.9333,\n              32.05\n            ],\n            [\n              -89.9333,\n              32.5578\n            ],\n            [\n              -90.8236,\n              32.5578\n            ],\n            [\n              -90.8236,\n              32.05\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c5eb","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":301843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":301844,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97357,"text":"ds384 - 2008 - EAARL coastal topography - Northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-05-02T20:32:35.960168","indexId":"ds384","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"384","title":"EAARL coastal topography - Northern Gulf of Mexico","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived coastal topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA. One objective of this research is to create techniques to survey areas for the purposes of geomorphic change studies following major storm events. The USGS Coastal and Marine Geology Program's National Assessment of Coastal Change Hazards project is a multi-year undertaking to identify and quantify the vulnerability of U.S. shorelines to coastal change hazards such as effects of severe storms, sea-level rise, and shoreline erosion and retreat. Airborne Lidar surveys conducted during periods of calm weather are compared to surveys collected following extreme storms in order to quantify the resulting coastal change. Other applications of high-resolution topography include habitat mapping, ecological monitoring, volumetric change detection, and event assessment.\r\n\r\nThe purpose of this project is to provide highly detailed and accurate datasets of the northern Gulf of Mexico coastal areas, acquired on September 19, 2004, immediately following Hurricane Ivan. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Airborne Advanced Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532 nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking RGB (red-green-blue) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers and an integrated miniature digital inertial measurement unit which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.\r\n\r\nElevation measurements were collected over the survey area using the EAARL system on September 19, 2004. The survey resulted in the acquisition of 3.2 gigabytes of data. The data were processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for pre-survey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of 'last return' elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds384","usgsCitation":"Nayegandhi, A., Brock, J., Sallenger, A., Wright, C.W., Travers, L.J., and Lebonitte, J., 2008, EAARL coastal topography - Northern Gulf of Mexico: U.S. Geological Survey Data Series 384, HTML Document; DVD-ROM, https://doi.org/10.3133/ds384.","productDescription":"HTML Document; DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195570,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12416,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/384/","linkFileType":{"id":5,"text":"html"}},{"id":416630,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86436.htm","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"United States","state":"Alabama, Florida, Mississippi","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.61749999999999,29.3675 ], [ -88.61749999999999,30.6175 ], [ -84.25,30.6175 ], [ -84.25,29.3675 ], [ -88.61749999999999,29.3675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f4a5","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sallenger, Abby","contributorId":9363,"corporation":false,"usgs":true,"family":"Sallenger","given":"Abby","email":"","affiliations":[],"preferred":false,"id":301814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":301813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lebonitte, James","contributorId":72891,"corporation":false,"usgs":true,"family":"Lebonitte","given":"James","email":"","affiliations":[],"preferred":false,"id":301817,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97363,"text":"ds395 - 2008 - EAARL submerged topography– U.S. Virgin Islands 2003","interactions":[],"lastModifiedDate":"2021-09-22T20:06:30.087093","indexId":"ds395","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"395","title":"EAARL submerged topography– U.S. Virgin Islands 2003","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived submerged topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), South Florida-Caribbean Network, Miami, FL; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate bathymetric datasets of a portion of the U.S. Virgin Islands, acquired on April 21, 23, and 30, May 2, and June 14 and 17, 2003. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds395","usgsCitation":"Nayegandhi, A., Brock, J., Wright, C.W., Stevens, S., Yates, X., and Bonisteel, J.M., 2008, EAARL submerged topography– U.S. Virgin Islands 2003: U.S. Geological Survey Data Series 395, HTML Document; DVD-ROM, https://doi.org/10.3133/ds395.","productDescription":"HTML Document; DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2003-04-21","temporalEnd":"2003-06-17","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":389607,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86448.htm"},{"id":12422,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/395/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","country":"U.S. Virgin Islands","otherGeospatial":"St John Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -64.8175,17.716666666666665 ], [ -64.8175,18.4 ], [ -64.6,18.4 ], [ -64.6,17.716666666666665 ], [ -64.8175,17.716666666666665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f2fd","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":301847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":301845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":301848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":301850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":301849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":301846,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":97360,"text":"ds390 - 2008 - EAARL topography - Vicksburg National Military Park 2008: Bare earth","interactions":[],"lastModifiedDate":"2022-08-02T19:23:53.189894","indexId":"ds390","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"390","title":"EAARL topography - Vicksburg National Military Park 2008: Bare earth","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the Vicksburg National Military Park in Mississippi, acquired on March 6, 2008. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or first surface topography. 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,{"id":97361,"text":"ds391 - 2008 - EAARL coastal topography — Fire Island National Seashore 2007","interactions":[],"lastModifiedDate":"2022-08-04T20:59:55.055215","indexId":"ds391","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"391","title":"EAARL coastal topography — Fire Island National Seashore 2007","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) and bare earth (BE) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of Fire Island National Seashore in New York, acquired on April 29-30 and May 15-16, 2007. 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Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. 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,{"id":97359,"text":"ds393 - 2008 - EAARL coastal topography — Sandy Hook 2007","interactions":[],"lastModifiedDate":"2022-08-04T21:10:20.582745","indexId":"ds393","displayToPublicDate":"2009-03-14T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"393","title":"EAARL coastal topography — Sandy Hook 2007","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of Gateway National Recreation Area's Sandy Hook Unit in New Jersey, acquired on May 16, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL) was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for pre-survey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. 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,{"id":97337,"text":"tm6A27 - 2008 - User Guide for HUFPrint, A Tabulation and Visualization Utility for the Hydrogeologic-Unit Flow (HUF) Package of MODFLOW","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"tm6A27","displayToPublicDate":"2009-02-28T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A27","title":"User Guide for HUFPrint, A Tabulation and Visualization Utility for the Hydrogeologic-Unit Flow (HUF) Package of MODFLOW","docAbstract":"This report documents HUFPrint, a computer program that extracts and displays information about model structure and hydraulic properties from the input data for a model built using the Hydrogeologic-Unit Flow (HUF) Package of the U.S. Geological Survey's MODFLOW program for modeling ground-water flow. HUFPrint reads the HUF Package and other MODFLOW input files, processes the data by hydrogeologic unit and by model layer, and generates text and graphics files useful for visualizing the data or for further processing. For hydrogeologic units, HUFPrint outputs such hydraulic properties as horizontal hydraulic conductivity along rows, horizontal hydraulic conductivity along columns, horizontal anisotropy, vertical hydraulic conductivity or anisotropy, specific storage, specific yield, and hydraulic-conductivity depth-dependence coefficient. For model layers, HUFPrint outputs such effective hydraulic properties as horizontal hydraulic conductivity along rows, horizontal hydraulic conductivity along columns, horizontal anisotropy, specific storage, primary direction of anisotropy, and vertical conductance. Text files tabulating hydraulic properties by hydrogeologic unit, by model layer, or in a specified vertical section may be generated. Graphics showing two-dimensional cross sections and one-dimensional vertical sections at specified locations also may be generated. HUFPrint reads input files designed for MODFLOW-2000 or MODFLOW-2005.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 27 of Book 6. Modeling Techniques, Section A. Ground Water","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/tm6A27","isbn":"9781411323339","usgsCitation":"Banta, E., and Provost, A., 2008, User Guide for HUFPrint, A Tabulation and Visualization Utility for the Hydrogeologic-Unit Flow (HUF) Package of MODFLOW: U.S. Geological Survey Techniques and Methods 6-A27, vi, 13 p., https://doi.org/10.3133/tm6A27.","productDescription":"vi, 13 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":122422,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_a27.gif"},{"id":12391,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/06A27/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db60419c","contributors":{"authors":[{"text":"Banta, Edward R.","contributorId":49820,"corporation":false,"usgs":true,"family":"Banta","given":"Edward R.","affiliations":[],"preferred":false,"id":301739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Provost, Alden M.","contributorId":85652,"corporation":false,"usgs":true,"family":"Provost","given":"Alden M.","affiliations":[],"preferred":false,"id":301740,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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