{"pageNumber":"2254","pageRowStart":"56325","pageSize":"25","recordCount":184617,"records":[{"id":70143020,"text":"70143020 - 2007 - Ground water flow modeling with sensitivity analyses to guide field data collection in a mountain watershed","interactions":[],"lastModifiedDate":"2015-03-16T14:17:56","indexId":"70143020","displayToPublicDate":"2007-12-01T15:30:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Ground water flow modeling with sensitivity analyses to guide field data collection in a mountain watershed","docAbstract":"<p>In mountain watersheds, the increased demand for clean water resources has led to an increased need for an understanding of ground water flow in alpine settings. In Prospect Gulch, located in southwestern Colorado, understanding the ground water flow system is an important first step in addressing metal loads from acid-mine drainage and acid-rock drainage in an area with historical mining. Ground water flow modeling with sensitivity analyses are presented as a general tool to guide future field data collection, which is applicable to any ground water study, including mountain watersheds. For a series of conceptual models, the observation and sensitivity capabilities of MODFLOW-2000 are used to determine composite scaled sensitivities, dimensionless scaled sensitivities, and 1% scaled sensitivity maps of hydraulic head. These sensitivities determine the most important input parameter(s) along with the location of observation data that are most useful for future model calibration. The results are generally independent of the conceptual model and indicate recharge in a high-elevation recharge zone as the most important parameter, followed by the hydraulic conductivities in all layers and recharge in the next lower-elevation zone. The most important observation data in determining these parameters are hydraulic heads at high elevations, with a depth of less than 100 m being adequate. Evaluation of a possible geologic structure with a different hydraulic conductivity than the surrounding bedrock indicates that ground water discharge to individual stream reaches has the potential to identify some of these structures. Results of these sensitivity analyses can be used to prioritize data collection in an effort to reduce time and money spend by collecting the most relevant model calibration data.</p>","language":"English","publisher":"National Ground Water Association","publisherLocation":"Dublin, OH","doi":"10.1111/j.1745-6592.2006.00125.x","usgsCitation":"Johnson, R.H., 2007, Ground water flow modeling with sensitivity analyses to guide field data collection in a mountain watershed: Groundwater Monitoring & Remediation, v. 27, no. 1, p. 75-83, https://doi.org/10.1111/j.1745-6592.2006.00125.x.","productDescription":"9 p.","startPage":"75","endPage":"83","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":476873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1745-6592.2006.00125.x","text":"Publisher Index Page"},{"id":298580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-20","publicationStatus":"PW","scienceBaseUri":"5507fec0e4b02e76d757c14a","contributors":{"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":542436,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70217279,"text":"70217279 - 2007 - Three-dimensional geologic model of the northern Nevada rift and the Beowawe geothermal system, north-central Nevada","interactions":[],"lastModifiedDate":"2021-01-14T21:27:15.982562","indexId":"70217279","displayToPublicDate":"2007-12-01T15:20:49","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional geologic model of the northern Nevada rift and the Beowawe geothermal system, north-central Nevada","docAbstract":"<p>A three-dimensional (3D) geologic model of part of the northern Nevada rift encompassing the Beowawe geothermal system was developed from a series of two-dimensional (2D) geologic and geophysical models. The 3D model was constrained by local geophysical, geologic, and drill-hole information and integrates geologic and tectonic interpretations for the region. It places important geologic constraints on the extent and configuration of the active Beowawe geothermal system. The geologic framework represented in this model facilitates hydrologic modeling of the Beowawe geothermal system and evaluation of fluid flow in faults and adjacent rock units.</p><p>Basin depths were determined using an iterative gravity-inversion technique that calculates the thickness of low-density, basin-filling deposits. The remaining subsurface structure was modeled using 2D potential-field modeling software. Crustal cross sections from the 2D models were generalized for use in the 3D model and consist of six stratigraphic layers defined as low-density basin sediments, volcanic rocks, basalt-andesite rocks of the northern Nevada rift, Jurassic and Cretaceous intrusive rocks, and Paleozoic siliceous and carbonate sedimentary rocks of the upper and lower plates of the Roberts Mountains allochthon, respectively. This simplified stratigraphy was combined with mapped surface geology and was extrapolated across the 3D model area. Features along the northern Nevada rift depicted by the model may represent preexisting crustal structures that controlled the locations and character of Tertiary tectonic and magmatic events related to Basin and Range extension and emplacement of the middle Miocene northern Nevada rift. Several of the geologic features represented are important components of the Beowawe geothermal system. Prominent ENE-trending faults (e.g., Malpais fault) that bound the southern edge of Whirlwind Valley, and older NNW-striking faults (e.g., Dunphy Pass and Muleshoe faults) that form major features of the model, are likely important pathways for geothermal fluids and groundwater flow from the Humboldt River, which may recharge the Beowawe system.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00100.1","usgsCitation":"Watt, J., Glen, J.M., John, D.A., and Ponce, D.A., 2007, Three-dimensional geologic model of the northern Nevada rift and the Beowawe geothermal system, north-central Nevada: Geosphere, v. 3, no. 6, p. 667-682, https://doi.org/10.1130/GES00100.1.","productDescription":"16 p.","startPage":"667","endPage":"682","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":382184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.4273681640625,\n              39.85072092501597\n            ],\n            [\n              -115.79589843749999,\n              39.85072092501597\n            ],\n            [\n              -115.79589843749999,\n              41.12488359929119\n            ],\n            [\n              -117.4273681640625,\n              41.12488359929119\n            ],\n            [\n              -117.4273681640625,\n              39.85072092501597\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":808248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":808249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":808250,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044688,"text":"70044688 - 2007 - Book review: Geology of gem deposits","interactions":[],"lastModifiedDate":"2022-03-25T15:21:04.684258","indexId":"70044688","displayToPublicDate":"2007-12-01T11:26:13","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Geology of gem deposits","docAbstract":"<p><i>Geology of Gem Deposits</i><span>&nbsp;is the most recent addition to the classic short course volumes published by the Mineralogical Association of Canada. Although not as comprehensive as the title might imply, this volume does contain overview papers devoted (in varying degrees) to the geology of diamond, beryl, corundum, chrysoberyl, tanzanite and tsarvorite, topaz, and jade deposits, as well as gem-bearing pegmatites and colored gemstones of Canada. Individually, most of the chapters provide robust overviews of the gems they cover. However, as presented, these papers do not make a well-organized and cohesive volume. The content, structure, and organization of each of these papers vary significantly. Despite this shortcoming, a number of the chapters cover relevant geologic information, making the book an important contribution for economic geologists interested in the exploration and geology of gem deposits.</span></p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/gsecongeo.102.8.1565","usgsCitation":"Marsh, E.E., 2007, Book review: Geology of gem deposits: Economic Geology, v. 102, no. 8, p. 1565-1566, https://doi.org/10.2113/gsecongeo.102.8.1565.","productDescription":"2 p.","startPage":"1565","endPage":"1566","ipdsId":"IP-003985","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science 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Erin E. 0000-0001-5245-9532 emarsh@usgs.gov","orcid":"https://orcid.org/0000-0001-5245-9532","contributorId":1250,"corporation":false,"usgs":true,"family":"Marsh","given":"Erin","email":"emarsh@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":838666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70200680,"text":"70200680 - 2007 - Statistical modeling of storm level Kp occurrences: Solar cycle modulation","interactions":[],"lastModifiedDate":"2018-10-29T11:18:20","indexId":"70200680","displayToPublicDate":"2007-12-01T11:18:11","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Statistical modeling of storm level Kp occurrences: Solar cycle modulation","docAbstract":"<p><span>We consider the nonstationary, statistical modeling of the occurrence in time of large&nbsp;</span><i>Kp</i><span>&nbsp;geomagnetic storms over the course of multiple solar cycles. Previous work showed that wait times between storms can be represented by an exponential density function, consistent with the realization of a Poisson process. Here we also assume a Poisson process, but to account for solar cycle modulation of storm likelihood, we assume an occurrence rate given by a parametric constant plus a simple sinusoidal function of time. Parameter estimation is accomplished using maximum likelihood, yielding good fits to the&nbsp;</span><i>Kp</i><span>&nbsp;data. We find that the relative phase between storms and sunspots depends on storm size. We quantify previous observations that small storms tend to occur during the declining phase of the solar cycle, while large storms tend to occur very close to solar maximum. We predict average wait time between storms and the storm occurrence rate up through the year 2018.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2006SW000287","usgsCitation":"Love, J.J., Remick, K., and Perkins, D.M., 2007, Statistical modeling of storm level Kp occurrences: Solar cycle modulation: Space Weather, v. 5, no. 12, Article S12005; 14 p., https://doi.org/10.1029/2006SW000287.","productDescription":"Article S12005; 14 p.","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":358878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"12","noUsgsAuthors":false,"publicationDate":"2007-12-29","publicationStatus":"PW","scienceBaseUri":"5c10d7f5e4b034bf6a7fb8c8","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Remick, K.J.","contributorId":78139,"corporation":false,"usgs":true,"family":"Remick","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":750112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, David M. perkins@usgs.gov","contributorId":2114,"corporation":false,"usgs":true,"family":"Perkins","given":"David","email":"perkins@usgs.gov","middleInitial":"M.","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":true,"id":750113,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70180898,"text":"70180898 - 2007 - Spatial trends in marsh sediment deposition within a microtidal creek system, Waccasassa Bay, Florida","interactions":[],"lastModifiedDate":"2017-02-10T09:41:30","indexId":"70180898","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial trends in marsh sediment deposition within a microtidal creek system, Waccasassa Bay, Florida","docAbstract":"<p><span>Marsh surface deposition, suspended sediment concentrations, tidal hydrodynamics, and marsh surface characteristics were measured within a tidal creek system of a west-central Florida, microtidal, open marine </span><i>Juncus roemerianus</i><span> marsh to examine the depositional relationship between a creek system and the surrounding marsh during nonstorm conditions. Results suggest that short-term marsh deposition is highly episodic with deposition showing an inverse relationship with marsh surface inundation. Deposition was greatest at marsh sites adjacent to secondary creek segments over all examined timescales. Variations in hydroperiod, time–velocity asymmetry, vegetation density, and sediment availability could not explain the observed differences in short-term deposition.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","publisherLocation":"Fort Lauderdale, FL","doi":"10.2112/04-0243.1","usgsCitation":"Wood, N., and Hine, A.C., 2007, Spatial trends in marsh sediment deposition within a microtidal creek system, Waccasassa Bay, Florida: Journal of Coastal Research, v. 23, no. 4, p. 823-833, https://doi.org/10.2112/04-0243.1.","productDescription":"11 p.","startPage":"823","endPage":"833","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":334868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Waccasassa Bay, Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.2159423828125,\n              28.837455983116197\n            ],\n            [\n              -83.2159423828125,\n              29.293585226541634\n            ],\n            [\n              -82.58697509765625,\n              29.293585226541634\n            ],\n            [\n              -82.58697509765625,\n              28.837455983116197\n            ],\n            [\n              -83.2159423828125,\n              28.837455983116197\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589aeab2e4b0efcedb72d243","contributors":{"authors":[{"text":"Wood, Nathan 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":71151,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":662754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hine, Albert C.","contributorId":87580,"corporation":false,"usgs":true,"family":"Hine","given":"Albert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":662755,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80678,"text":"sir20075147 - 2007 - Assessment of Historical Water-Quality Data for National Park Units in the Rocky Mountain Network, Colorado and Montana, through 2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"sir20075147","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5147","title":"Assessment of Historical Water-Quality Data for National Park Units in the Rocky Mountain Network, Colorado and Montana, through 2004","docAbstract":"This report summarizes historical water-quality data for six National Park units that compose the Rocky Mountain Network. The park units in Colorado are Florissant Fossil Beds National Monument, Great Sand Dunes National Park and Preserve, and Rocky Mountain National Park; and in Montana, they are Glacier National Park, Grant-Kohrs Ranch National Historic Site, and Little Bighorn Battlefield National Monument. This study was conducted in cooperation with the Inventory and Monitoring Program of the National Park Service to aid in the design of an effective and efficient water-quality monitoring plan for each park. Data were retrieved from a number of sources for the period of record through 2004 and compiled into a relational database. Descriptions of the environmental setting of each park and an overview of the park's water resources are presented. Statistical summaries of water-quality constituents are presented and compared to aquatic-life and drinking-water standards. Spatial, seasonal, and temporal patterns in constituent concentrations also are described and suggestions for future water-quality monitoring are provided.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075147","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Mast, M.A., 2007, Assessment of Historical Water-Quality Data for National Park Units in the Rocky Mountain Network, Colorado and Montana, through 2004: U.S. Geological Survey Scientific Investigations Report 2007-5147, x, 80 p., https://doi.org/10.3133/sir20075147.","productDescription":"x, 80 p.","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":125712,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5147.jpg"},{"id":10535,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5147/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,37 ], [ -117,49 ], [ -100,49 ], [ -100,37 ], [ -117,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672951","contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293263,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169992,"text":"70169992 - 2007 - Spatial design and strength of spatial signal: Effects on covariance estimation","interactions":[],"lastModifiedDate":"2016-04-08T08:40:16","indexId":"70169992","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","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":"Spatial design and strength of spatial signal: Effects on covariance estimation","docAbstract":"<p><span>In a spatial regression context, scientists are often interested in a physical interpretation of components of the parametric covariance function. For example, spatial covariance parameter estimates in ecological settings have been interpreted to describe spatial heterogeneity or &ldquo;patchiness&rdquo; in a landscape that cannot be explained by measured covariates. In this article, we investigate the influence of the strength of spatial dependence on maximum likelihood (ML) and restricted maximum likelihood (REML) estimates of covariance parameters in an exponential-with-nugget model, and we also examine these influences under different sampling designs&mdash;specifically, lattice designs and more realistic random and cluster designs&mdash;at differing intensities of sampling (</span><i class=\"EmphasisTypeItalic \">n</i><span>=144 and 361). We find that neither ML nor REML estimates perform well when the range parameter and/or the nugget-to-sill ratio is large&mdash;ML tends to underestimate the autocorrelation function and REML produces highly variable estimates of the autocorrelation function. The best estimates of both the covariance parameters and the autocorrelation function come under the cluster sampling design and large sample sizes. As a motivating example, we consider a spatial model for stream sulfate concentration.</span></p>","language":"English","publisher":"Springer","doi":"10.1198/108571107X249799","usgsCitation":"Irvine, K.M., Gitelman, A.I., and Hoeting, J.A., 2007, Spatial design and strength of spatial signal: Effects on covariance estimation: Journal of Agricultural, Biological, and Environmental Statistics, v. 12, no. 4, p. 450-469, https://doi.org/10.1198/108571107X249799.","productDescription":"20 p.","startPage":"450","endPage":"469","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":476874,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.3156","text":"External Repository"},{"id":319693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56fe4acde4b075ab2b2ab918","contributors":{"authors":[{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":625813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gitelman, Alix I.","contributorId":168402,"corporation":false,"usgs":false,"family":"Gitelman","given":"Alix","email":"","middleInitial":"I.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":625814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoeting, Jennifer A.","contributorId":168403,"corporation":false,"usgs":false,"family":"Hoeting","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":625815,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80679,"text":"ofr20071312 - 2007 - Thermal Maturity of Pennsylvanian Coals and Coaly Shales, Eastern Shelf and Fort Worth Basin, Texas","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ofr20071312","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1312","title":"Thermal Maturity of Pennsylvanian Coals and Coaly Shales, Eastern Shelf and Fort Worth Basin, Texas","docAbstract":"The U.S. Geological Survey and the Texas Bureau of Economic Geology are engaged in an ongoing collaborative study to characterize the organic composition and thermal maturity of Upper Paleozoic coal-bearing strata from the Eastern Shelf of the Midland basin and from the Fort Worth basin, north-central Texas. Data derived from this study will have application to a better understanding of the potential for coalbed gas resources in the region. This is an important effort in that unconventional resources such as coalbed gas are expected to satisfy an increasingly greater component of United States and world natural gas demand in coming decades. In addition, successful coalbed gas production from equivalent strata in the Kerr basin of southern Texas and from equivalent strata elsewhere in the United States suggests that a closer examination of the potential for coalbed gas resources in north-central Texas is warranted. This report presents thermal maturity data for shallow (<2,000 ft; <610 m) coal and coaly shale cuttings, core, and outcrop samples from the Middle-Upper Pennsylvanian Strawn, Canyon, and Cisco Groups from the Eastern Shelf of the Midland basin. Data for Lower Pennsylvanian Atoka Group strata from deeper wells (5,400 ft; 1,645 m) in the western part of the Fort Worth basin also are included herein. The data indicate that the maturity of some Pennsylvanian coal and coaly shale samples is sufficient to support thermogenic coalbed gas generation on the Eastern Shelf and in the western Fort Worth basin.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071312","collaboration":"Prepared in cooperation with the Bureau of Economic Geology, The University of Texas at Austin","usgsCitation":"Hackley, P.C., Guevara, E.H., Hentz, T.F., and Hook, R.W., 2007, Thermal Maturity of Pennsylvanian Coals and Coaly Shales, Eastern Shelf and Fort Worth Basin, Texas: U.S. Geological Survey Open-File Report 2007-1312, iii, 158 p., https://doi.org/10.3133/ofr20071312.","productDescription":"iii, 158 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194387,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10536,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1312/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.5,29.5 ], [ -99.5,34.5 ], [ -96,34.5 ], [ -96,29.5 ], [ -99.5,29.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a57e4b07f02db62e600","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guevara, Edgar H.","contributorId":62298,"corporation":false,"usgs":true,"family":"Guevara","given":"Edgar","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":293267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hentz, Tucker F.","contributorId":16524,"corporation":false,"usgs":true,"family":"Hentz","given":"Tucker","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":293265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hook, Robert W.","contributorId":26006,"corporation":false,"usgs":true,"family":"Hook","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":293266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70029721,"text":"70029721 - 2007 - Mountains on Titan observed by Cassini Radar","interactions":[],"lastModifiedDate":"2018-12-07T15:35:04","indexId":"70029721","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Mountains on Titan observed by Cassini Radar","docAbstract":"<p><span>The Cassini&nbsp;Titan&nbsp;Radar mapper has observed elevated blocks and ridge-forming block chains on Saturn's moon Titan demonstrating high topography we term “mountains.” Summit flanks measured from the T3 (February 2005) and T8 (October 2005) flybys have a mean maximum slope of 37° and total elevations up to 1930 m as derived from a shape-from-shading model corrected for the probable effects of&nbsp;image resolution. Mountain peak morphologies and surrounding, diffuse blankets give evidence that erosion has acted upon these features, perhaps in the form of fluvial runoff. Possible&nbsp;formation mechanisms&nbsp;for these mountains include crustal compressional tectonism and upthrusting of blocks, extensional tectonism and formation of horst-and-graben, deposition as blocks of impact&nbsp;</span>ejecta<span>, or dissection and erosion of a preexisting layer of material. All above processes may be at work, given the diversity of geology evident across Titan's surface. Comparisons of mountain and blanket volumes and&nbsp;erosion rate&nbsp;estimates for Titan provide a typical mountain age as young as 20–100 million years.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2007.06.020","issn":"00191035","usgsCitation":"Radebaugh, J., Lorenz, R.D., Kirk, R.L., Lunine, J.I., Stofan, E.R., Lopes, R., Wall, S.D., and The Cassini Radar Team, 2007, Mountains on Titan observed by Cassini Radar: Icarus, v. 192, no. 1, p. 77-91, https://doi.org/10.1016/j.icarus.2007.06.020.","productDescription":"15 p.","startPage":"77","endPage":"91","numberOfPages":"15","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":240202,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"192","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5ebde4b0c8380cd70c42","contributors":{"authors":[{"text":"Radebaugh, Jani","contributorId":101792,"corporation":false,"usgs":true,"family":"Radebaugh","given":"Jani","email":"","affiliations":[],"preferred":false,"id":423997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, Ralph D.","contributorId":56360,"corporation":false,"usgs":false,"family":"Lorenz","given":"Ralph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":424001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":424002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lunine, Jonathan I.","contributorId":82447,"corporation":false,"usgs":true,"family":"Lunine","given":"Jonathan","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":423999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stofan, Ellen R.","contributorId":103746,"corporation":false,"usgs":true,"family":"Stofan","given":"Ellen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":424003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopes, Rosaly","contributorId":210492,"corporation":false,"usgs":false,"family":"Lopes","given":"Rosaly","email":"","affiliations":[],"preferred":false,"id":423998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wall, Stephen D.","contributorId":7825,"corporation":false,"usgs":true,"family":"Wall","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":424000,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"The Cassini Radar Team","contributorId":127994,"corporation":true,"usgs":false,"organization":"The Cassini Radar Team","id":753396,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70171283,"text":"70171283 - 2007 - Nowcasting recreational water quality","interactions":[],"lastModifiedDate":"2016-05-26T10:53:20","indexId":"70171283","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Nowcasting recreational water quality","docAbstract":"<p><span>Advances in molecular techniques may soon provide new opportunities to provide more timely information on whether recreational beaches are free from fecal contamination. However, an alternative approach is the use of predictive models. This chapter presents a summary of these developing efforts. First, we describe documented physical, chemical, and biological factors that have been demonstrated by researchers to affect bacterial concentrations at beaches and thus represent logical parameters for inclusion in a model. Then, we illustrate how various types of models can be applied to predict water quality at freshwater and marine beaches.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Statistical framework for recreational water quality criteria and monitoring","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9780470518328.ch10","usgsCitation":"Boehm, A., Whitman, R.L., Nevers, M., Hou, D., and Weisberg, S., 2007, Nowcasting recreational water quality, chap. 10 <i>of</i> Statistical framework for recreational water quality criteria and monitoring, p. 179-210, https://doi.org/10.1002/9780470518328.ch10.","productDescription":"32 p.","startPage":"179","endPage":"210","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":321729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2007-12-11","publicationStatus":"PW","scienceBaseUri":"57481e39e4b07e28b664dbe8","contributors":{"authors":[{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":630426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":630427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nevers, Meredith 0000-0001-6963-6734 mnevers@usgs.gov","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":2013,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"mnevers@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":630428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hou, Deyi","contributorId":169641,"corporation":false,"usgs":false,"family":"Hou","given":"Deyi","email":"","affiliations":[],"preferred":false,"id":630429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weisberg, Stephen B.","contributorId":11110,"corporation":false,"usgs":true,"family":"Weisberg","given":"Stephen B.","affiliations":[],"preferred":false,"id":630430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70158997,"text":"70158997 - 2007 - Remote sensing sensors and applications in environmental resources mapping and modeling","interactions":[],"lastModifiedDate":"2015-10-12T11:56:00","indexId":"70158997","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing sensors and applications in environmental resources mapping and modeling","docAbstract":"<p><span>The history of remote sensing and development of different sensors for environmental and natural resources mapping and data acquisition is reviewed and reported. Application examples in urban studies, hydrological modeling such as land-cover and floodplain mapping, fractional vegetation cover and impervious surface area mapping, surface energy flux and micro-topography correlation studies is discussed. The review also discusses the use of remotely sensed-based rainfall and potential evapotranspiration for estimating crop water requirement satisfaction index and hence provides early warning information for growers. The review is not an exhaustive application of the remote sensing techniques rather a summary of some important applications in environmental studies and modeling.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/s7123209","usgsCitation":"Melesse, A.M., Weng, Q., Thenkabail, P.S., and Senay, G.B., 2007, Remote sensing sensors and applications in environmental resources mapping and modeling: Sensors, v. 7, no. 12, p. 3209-3241, https://doi.org/10.3390/s7123209.","productDescription":"33 p.","startPage":"3209","endPage":"3241","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s7123209","text":"Publisher Index Page"},{"id":309829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","noUsgsAuthors":false,"publicationDate":"2007-11-11","publicationStatus":"PW","scienceBaseUri":"561cd9ace4b0cdb063e584a6","contributors":{"authors":[{"text":"Melesse, Assefa M.","contributorId":45044,"corporation":false,"usgs":false,"family":"Melesse","given":"Assefa","email":"","middleInitial":"M.","affiliations":[{"id":7003,"text":"Deprtment of Earth & Environmental ECS 339, Florida Interational University","active":true,"usgs":false}],"preferred":false,"id":577206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weng, Qihao","contributorId":112678,"corporation":false,"usgs":true,"family":"Weng","given":"Qihao","email":"","affiliations":[],"preferred":false,"id":577207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":577208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":577209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80680,"text":"ofr20071313 - 2007 - Coal Rank and Stratigraphy of Pennsylvanian Coal and Coaly Shale Samples, Young County, North-Central Texas","interactions":[],"lastModifiedDate":"2012-02-02T00:14:10","indexId":"ofr20071313","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1313","title":"Coal Rank and Stratigraphy of Pennsylvanian Coal and Coaly Shale Samples, Young County, North-Central Texas","docAbstract":"Vitrinite reflectance measurements were made to determine the rank of selected subsurface coal and coaly shale samples from Young County, north-central Texas, for the National Coal Resources Database System State Cooperative Program conducted by the Bureau of Economic Geology at The University of Texas at Austin. This research is the continuation of a pilot study that began in adjacent Archer County, and forms part of a larger investigation of the coalbed methane resource potential of Pennsylvanian coals in north-central Texas.\r\n\r\nA total of 57 samples of coal and coaly shale fragments were hand-picked from drill cuttings from depths of about 2,000 ft in five wells, and Ro determinations were made on an initial 10-sample subset. Electric-log correlation of the sampled wells indicates that the collected samples represent coal and coaly shale layers in the Strawn (Pennsylvanian), Canyon (Pennsylvanian), and Cisco (Pennsylvanian-Permian) Groups. Coal rank in the initial sample subset ranges from lignite (Ro=0.39), in a sample from the Cisco Group at a depth of 310 to 320 ft, to high volatile bituminous A coal (Ro=0.91) in a sample from the lower part of the Canyon Group at a depth of 2,030 to 2,040 ft.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071313","collaboration":"Prepared in cooperation with the Bureau of Economic Geology, The University of Texas at Austin","usgsCitation":"Guevara, E.H., Breton, C., and Hackley, P.C., 2007, Coal Rank and Stratigraphy of Pennsylvanian Coal and Coaly Shale Samples, Young County, North-Central Texas: U.S. Geological Survey Open-File Report 2007-1313, Report: iii, 28 p. + Plate (1 p., 36 x 24 inches), https://doi.org/10.3133/ofr20071313.","productDescription":"Report: iii, 28 p. + Plate (1 p., 36 x 24 inches)","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10537,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1313/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49ade4b07f02db5c7585","contributors":{"authors":[{"text":"Guevara, Edgar H.","contributorId":62298,"corporation":false,"usgs":true,"family":"Guevara","given":"Edgar","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":293269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breton, Caroline","contributorId":105390,"corporation":false,"usgs":true,"family":"Breton","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":293270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176687,"text":"70176687 - 2007 - Grassland and shrubland birds of Gettysburg National Military Park and Eisenhower National Historic Site: Current status and management recommendations","interactions":[],"lastModifiedDate":"2016-09-28T10:54:04","indexId":"70176687","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NER/NRTR—2007/102","title":"Grassland and shrubland birds of Gettysburg National Military Park and Eisenhower National Historic Site: Current status and management recommendations","docAbstract":"<p>Gettysburg National Military Park (NMP) and Eisenhower National Historic Site (NHS) were surveyed for grassland birds during the 2005 breeding season. These parks currently maintain a total of approximately 1,220 ha (3,015 ac) of grassland habitats within a mosaic of cultivated fields and woodlands. The grasslands are hayfields managed through agricultural leases and fields maintained by the National Park Service (NPS). Most grasslands are composed of introduced cool-season grasses, but Gettysburg NMP maintains a few fields dominated by switchgrass (Panicum virgatum) and is creating additional warm-season grasslands. Hayfields managed through agricultural leases support few grassland birds. The most numerous grassland bird communities are found between Seminary and Cemetery ridges in fields managed by the NPS. The parks discourage hay harvesting before July in all fields in an effort to improve the reproductive success of grassland birds.<br></p><p>Shrub-dominated habitats were scarce in both parks. A few areas that were harvested recently for timber supported early successional communities in Gettysburg NMP. Other shrublands were limited to narrow corridors (&lt;10 m [32 ft]) bordering fields and drainages. No shrublands were present on Eisenhower NHS, but an abandoned pasture along Willoughby Run was reverting into a mesic shrubland.<br></p><p>Four species of obligate grassland birds were recorded during the 2005 surveys. A population of approximately 130 bobolinks (Dolichonyx oryzivorus) was primarily restricted to grasslands between Seminary and Cemetery ridges maintained by the NPS and a hayfield on Eisenhower NHS. This population is large for southeastern Pennsylvania and the surrounding region. Eastern meadowlarks (Sturnella magna) were most numerous in the same fields occupied by bobolinks but smaller numbers were scattered in other grasslands. Grasshopper sparrows (Ammodramus savannarum) were locally distributed in Conservation Reserve Program fields and other grasslands with more open vegetation. Savannah sparrows (Passervulus sandwichensis) were limited to one disturbed area undergoing conversion to warm-season grasses. When compared with other cultural parks in this region, the Gettysburg-Eisenhower complex supports a relatively abundant grassland bird community. This community is restricted to a portion of existing grassland habitats, but the potential exists to support a more diverse and abundant grassland avifauna.<br></p><p>The following recommendations provide the most immediate benefits for breeding grassland birds in these parks under the current habitat conditions and management strategies. These recommendations are based on the assumption that the current policy of delayed mowing continues in both parks: improve grassland composition on leased hayfields; increase extent of early successional stages of grasslands; reduce fragmentation of grassland habitats; and improve grassland diversity by creating additional communities of native warm-season grasses.<br></p><p>Because shrublands are currently scarce in both parks, the only recommendation is directed towards creating and maintaining shrub-dominated successional habitats: Explore opportunities for creating shrubby successional habitats in both parks.</p>","language":"English","publisher":"U.S. Department of Interior, National Park Service","publisherLocation":"Philadelphia, PA","usgsCitation":"Peterjohn, B.G., 2007, Grassland and shrubland birds of Gettysburg National Military Park and Eisenhower National Historic Site: Current status and management recommendations: Technical Report NPS/NER/NRTR—2007/102, ix, 27 p.","productDescription":"ix, 27 p.","numberOfPages":"42","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":329061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329060,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/440162"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ed5314e4b090825011d513","contributors":{"authors":[{"text":"Peterjohn, Bruce G. bpeterjohn@usgs.gov","contributorId":4493,"corporation":false,"usgs":true,"family":"Peterjohn","given":"Bruce","email":"bpeterjohn@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":649844,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179372,"text":"70179372 - 2007 - Wind River Watershed Restoration: Annual report April 2006 to March 2007","interactions":[],"lastModifiedDate":"2016-12-29T14:24:49","indexId":"70179372","displayToPublicDate":"2007-12-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River Watershed Restoration: Annual report April 2006 to March 2007","docAbstract":"<p>This report summarizes work completed by U.S. Geological Survey’s Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin during the period April 2006 through March 2007 under Bonneville Power Administration (BPA) contract 26922. During this period, we collected temperature, flow, and habitat data to characterize physical habitat condition and variation within and among tributaries and mainstem sections in the Wind River subbasin. We also conducted electrofishing and snorkeling surveys to determine juvenile salmonid populations within select study areas throughout the subbasin. Portions of this work were completed with additional funding from U.S. Fish and Wildlife Service (USFWS) and the Lower Columbia Fish Enhancement Group (LCFEG). Funding from USFWS was for work to contribute to a study of potential interactions between introduced Chinook salmon Oncorhynchus tshawytscha and wild steelhead O. mykiss. Funding from LCFEG was for work to evaluate the effects of nutrient enrichment in small streams. A statement of work (SOW) was submitted to BPA in March 2006 that outlined work to be performed by USGS-CRRL. The SOW was organized by work elements, with each describing a research task. This report summarizes the progress completed under each work element. </p>","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Connolly, P., Jezorek, I.G., and Munz, C.S., 2007, Wind River Watershed Restoration: Annual report April 2006 to March 2007, 28 p. .","productDescription":"28 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wind river ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.80559158325195,\n              45.7163679593565\n            ],\n            [\n              -121.92506790161133,\n              45.779855442739716\n            ],\n            [\n              -121.92850112915039,\n              45.790748860419896\n            ],\n            [\n              -122.03012466430663,\n              45.816357959181374\n            ],\n            [\n              -122.03956604003906,\n              45.846977678695666\n            ],\n            [\n              -122.03733444213866,\n              45.86730177869193\n            ],\n            [\n              -121.99922561645506,\n              45.885706609686494\n            ],\n            [\n              -121.97742462158202,\n              45.890247123837774\n            ],\n            [\n              -121.94034576416016,\n              45.88259972825987\n            ],\n            [\n              -121.83597564697266,\n              45.79314273281927\n            ],\n            [\n              -121.77005767822266,\n              45.719124575395526\n            ],\n            [\n              -121.76902770996092,\n              45.70785754764231\n            ],\n            [\n              -121.80559158325195,\n              45.7163679593565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58662f1be4b0cd2dabe7c4d7","contributors":{"authors":[{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munz, Carrie S. cmunz@usgs.gov","contributorId":3582,"corporation":false,"usgs":true,"family":"Munz","given":"Carrie","email":"cmunz@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656965,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80675,"text":"sir20075223 - 2007 - Petrographic Descriptions of Selected Rock Specimens From the Meade Peak Phosphatic Shale Member, Phosphoria Formation (Permian), Southeastern Idaho","interactions":[],"lastModifiedDate":"2012-02-10T00:11:40","indexId":"sir20075223","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5223","title":"Petrographic Descriptions of Selected Rock Specimens From the Meade Peak Phosphatic Shale Member, Phosphoria Formation (Permian), Southeastern Idaho","docAbstract":"Based on petrographic observations of 135 thin sections, rocks in the Meade Peak Phosphatic Shale Member of the Permian Phosphoria Formation in southeastern Idaho can be placed into one of four major lithofacies: organic claystone, muddy siltstone, peloidal phosphorite, and dolomitized calclithite-in order of decreasing abundance. Organic claystones are the most common lithofacies in the Meade Peak. Many of these rocks contain sufficient amounts of silt to make silty, organic claystones a common subtype. Organic claystones commonly contain crystals of muscovite and bioclasts as accessory components, and they are typically parallel laminated. Muddy siltstones are composed primarily of quartz silt, but some feldspar and rare carbonate silt are also present; some rocks are parallel laminated. Phosphate peloids are composed of varying amounts of opaque, complex, and translucent material, and observed internal structures are classified as simple, banded, cored, zoned, oolitic, nucleated, and polynucleated. Opaque, complex, and translucent peloids form the framework grains of three peloidal phosphorite rocks: wackestone phosphorite, packstone phosphorite, and grainstone phosphorite. Wackestone phosphorite is phosphatic-mud supported and contains more than 10 percent peloids; it is the most common type of phosphorite. Packstone phosphorite is peloid supported and contains interstitial phosphatic mud; it is also a common type. Grainstone phosphorite is peloid supported but lacks phosphatic mud; it is the least common type. Dolomitized calclithites contain three types of carbonate grains: macrocrystalline, microcrystalline, and crystalline with a microcrystalline nuclei-in order of decreasing abundance. Based on chemical staining and X-ray diffraction analyses, most of the carbonate is dolomite. Sufficient amounts of quartz silt or muddy material allow some rocks to be called silty dolomitized calclithite or muddy dolomitized calclithite, respectively. Sedimentary structures are absent except in some muddy dolomitized calclithites. Organic claystones, muddy siltstones, and dolomitized calclithites are detrital deposits. Many rocks in the Meade Peak contain calcite and apatite as fracture fillings and vug linings. As expected, peloidal phosphorites are most common in ore zones, and detrital rocks are most common in waste zones. Mine-specific marker beds are mostly composed of dolomitized calclithite.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075223","usgsCitation":"Johnson, E., Grauch, R.I., and Herring, J.R., 2007, Petrographic Descriptions of Selected Rock Specimens From the Meade Peak Phosphatic Shale Member, Phosphoria Formation (Permian), Southeastern Idaho (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5223, iv, 17 p., https://doi.org/10.3133/sir20075223.","productDescription":"iv, 17 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192055,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10531,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5223/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.75,42 ], [ -111.75,43.25 ], [ -110.75,43.25 ], [ -110.75,42 ], [ -111.75,42 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db687ed2","contributors":{"authors":[{"text":"Johnson, Edward A.","contributorId":25552,"corporation":false,"usgs":true,"family":"Johnson","given":"Edward A.","affiliations":[],"preferred":false,"id":293257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, Richard I. 0000-0002-1763-0813 rgrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-1763-0813","contributorId":1193,"corporation":false,"usgs":true,"family":"Grauch","given":"Richard","email":"rgrauch@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":293256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herring, James R.","contributorId":95492,"corporation":false,"usgs":true,"family":"Herring","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":293258,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80676,"text":"ofr20071261 - 2007 - A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ofr20071261","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1261","title":"A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas","docAbstract":"A survey of the seagrass resources of Padre Island National Seashore was conducted in fall 2002 and 2003, with additional sampling through 2006, to resolve distribution questions. Location coordinates were recorded to thousandths of minutes of latitude and longitude and converted to decimal degrees (minus decimal degrees for longitude) for import into ArcView (Environmental Systems Research Institute, Inc.). The seagrass core frequency data were developed as a theme in ArcView and overlaid on digital orthophoto quarter quadrangles of the U.S. Geological Survey to show sample depth with respect to mean sea level and frequency of occurrence of seagrass for five samples collected from every station sampled. These data were used to draw boundaries of area submerged at mean sea level and seagrass meadow in relation to the boundary of Padre Island National Seashore. Frequency of seagrass occurrence, mean plant height, shoot density, plant height multiplied by shoot density, live biomass, and dead biomass on a 1' latitude by 0.25' longitude grid were collected, and their distribution was plotted in space and according to depth. A User Guide for displaying data in ArcView is included at the end of this report.\r\n\r\nSeagrasses covered almost two-thirds of the regularly flooded part of Laguna Madre within the borders of Padre Island National Seashore. Comparisons with earlier surveys showed that substantial areas of seagrass cover had been lost in deep water between 1988 and 1998 as a result of a persistent phytoplankton bloom, and little recovery has occurred since. Maximum depth of seagrass occurrence responded to changes in water clarity. In contrast, much of the cover at shallow to intermediate depths lost at the south end of the study area between 1988 and 1998 was replaced by 2003. The seven stations with greatest plant height were located in this area of recent recolonization. Continuity of cover as measured by frequency of occurrence was high except near the edge of seagrass meadow. Decrease in this measure may be an indicator of meadow fragmentation, signaling deterioration of seagrass meadow before loss. The other measures of condition were so variable that they were insensitive indicators of impending change.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071261","usgsCitation":"Onuf, C.P., and Ingold, J.J., 2007, A GIS Analysis of Seagrass Resources and Condition Within Padre Island National Seashore, Texas (Version 1.0): U.S. Geological Survey Open-File Report 2007-1261, Report: vi, 34 p.; Downloads Directory, https://doi.org/10.3133/ofr20071261.","productDescription":"Report: vi, 34 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10532,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1261/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.5,26.916666666666668 ], [ -97.5,27.75 ], [ -97.16666666666667,27.75 ], [ -97.16666666666667,26.916666666666668 ], [ -97.5,26.916666666666668 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4955e4b0b290850ef10b","contributors":{"authors":[{"text":"Onuf, Christopher P.","contributorId":55091,"corporation":false,"usgs":true,"family":"Onuf","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":293260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingold, Jaimie J.","contributorId":33007,"corporation":false,"usgs":true,"family":"Ingold","given":"Jaimie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293259,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80674,"text":"ofr20071384 - 2007 - Methods for the Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Fires of 2007, Southern California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:43","indexId":"ofr20071384","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1384","title":"Methods for the Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Fires of 2007, Southern California","docAbstract":"This report describes the approach used to assess potential debris-flow hazards from basins burned by the Buckweed, Santiago, Canyon, Poomacha, Ranch, Harris, Witch, Rice, Ammo, Slide, Grass Valley and Cajon Fires of 2007 in southern California. The assessments will be presented as a series of maps showing a relative ranking of the predicted volume of debris flows that can issue from basin outlets in response to a 3-hour duration rainstorm with a 10-year return period. Potential volumes of debris flows are calculated using a multiple-regression model that describes debris-flow volume at a basin outlet as a function of measures of basin gradient, burn extent, and storm rainfall. This assessment provides critical information for issuing basin-specific warnings, locating and designing mitigation measures, and planning of evacuation timing and routes.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071384","usgsCitation":"Cannon, S.H., Gartner, J.E., and Michael, J.A., 2007, Methods for the Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Fires of 2007, Southern California (Version 1.0): U.S. Geological Survey Open-File Report 2007-1384, iv, 10 p., https://doi.org/10.3133/ofr20071384.","productDescription":"iv, 10 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194700,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10530,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1384/","linkFileType":{"id":5,"text":"html"}}],"scale":"1300000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.25,32.25 ], [ -119.25,34.75 ], [ -116,34.75 ], [ -116,32.25 ], [ -119.25,32.25 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62bac1","contributors":{"authors":[{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":293253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":293254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, John A. jmichael@usgs.gov","contributorId":1877,"corporation":false,"usgs":true,"family":"Michael","given":"John","email":"jmichael@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":293255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80677,"text":"ofr20071392 - 2007 - Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore","interactions":[],"lastModifiedDate":"2022-07-13T20:27:21.722264","indexId":"ofr20071392","displayToPublicDate":"2007-11-30T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1392","title":"Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore","docAbstract":"<p>Coastal erosion on Northern Gulf of Mexico barrier islands is an ongoing issue that was exacerbated by the storm seasons of 2004 and 2005 when several hurricanes made landfall in the Gulf of Mexico. Two units of the Gulf Islands National Seashore (GUIS), located on Santa Rosa Island, a barrier island off the Panhandle coast of Florida, were highly impacted during the hurricanes of 2004 (Ivan) and 2005 (Cindy, Dennis, Katrina and Rita). In addition to the loss of or damage to natural and cultural resources within the park, damage to park infrastructure, including park access roads and utilities, occurred in areas experiencing rapid shoreline retreat. The main park road was located as close as 50 m to the pre-storm (2001) shoreline and was still under repair from damage incurred during Hurricane Ivan when the 2005 hurricanes struck. A new General Management Plan is under development for the Gulf Islands National Seashore. This plan, like the existing General Management Plan, strives to incorporate natural barrier island processes, and will guide future efforts to provide access to units of Gulf Islands National Seashore on Santa Rosa Island.</p><p>To assess changes in island geomorphology and provide data for park management, the National Park Service and the U.S. Geological Survey are currently analyzing shoreline change to better understand long-term (100+ years) shoreline change trends as well as short-term shoreline impact and recovery to severe storm events. Results show that over an ~140-year period from the late 1800s to May 2004, the average shoreline erosion rates in the Fort Pickens and Santa Rosa units of GUIS were -0.7m/yr and -0.1 m/yr, respectively. Areas of historic erosion, reaching a maximum rate of -1.3 m/yr, correspond to areas that experienced overwash and road damage during the 2004 hurricane season.. The shoreline eroded as much as ~60 m during Hurricane Ivan, and as much as ~88 m over the course of the 2005 storm season. The shoreline erosion rates in the areas where the park road was heavily damaged were as high as -70.2 m/yr over the 2004-2005 time period. Additional post-storm monitoring of these sections of the island, to assess whether erosion rates stabilize, will help to parks to determine the best long-term management strategy for the park infrastructure.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071392","usgsCitation":"Hapke, C.J., and Christiano, M., 2007, Long-term and storm-related shoreline change trends in the Florida Gulf Islands National Seashore: U.S. Geological Survey Open-File Report 2007-1392, 18 p., https://doi.org/10.3133/ofr20071392.","productDescription":"18 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192005,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403688,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_82851.htm","linkFileType":{"id":5,"text":"html"}},{"id":10534,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1392/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Florida Gulf Island National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.308349609375,\n              30.311245603935003\n            ],\n            [\n              -86.8963623046875,\n              30.311245603935003\n            ],\n            [\n              -86.8963623046875,\n              30.379983796443767\n            ],\n            [\n              -87.308349609375,\n              30.379983796443767\n            ],\n            [\n              -87.308349609375,\n              30.311245603935003\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a6de4b07f02db63edab","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":293261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiano, Mark","contributorId":59522,"corporation":false,"usgs":true,"family":"Christiano","given":"Mark","email":"","affiliations":[],"preferred":false,"id":293262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80671,"text":"ofr20071293 - 2007 - Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada","interactions":[],"lastModifiedDate":"2012-02-10T00:11:38","indexId":"ofr20071293","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1293","title":"Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada","docAbstract":"During 2005 and 2006, the USGS conducted geological studies of fault zones at surface outcrops at the Nevada Test Site. The objectives of these studies were to characterize fault geometry, identify the presence of fault splays, and understand the width and internal architecture of fault zones. Geologic investigations were conducted at surface exposures in upland areas adjacent to Yucca Flat, a basin in the northeastern part of the Nevada Test Site; these data serve as control points for the interpretation of the subsurface data collected at Yucca Flat by other USGS scientists. Fault zones in volcanic rocks near Yucca Flat differ in character and width as a result of differences in the degree of welding and alteration of the protolith, and amount of fault offset. Fault-related damage zones tend to scale with fault offset; damage zones associated with large-offset faults (>100 m) are many tens of meters wide, whereas damage zones associated with smaller-offset faults are generally a only a meter or two wide. Zeolitically-altered tuff develops moderate-sized damage zones whereas vitric nonwelded, bedded and airfall tuff have very minor damage zones, often consisting of the fault zone itself as a deformation band, with minor fault effect to the surrounding rock mass. These differences in fault geometry and fault zone architecture in surface analog sites can serve as a guide toward interpretation of high-resolution subsurface geophysical results from Yucca Flat.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071293","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office","usgsCitation":"Sweetkind, D., and Drake, R.M., 2007, Characteristics of Fault Zones in Volcanic Rocks Near Yucca Flat, Nevada Test Site, Nevada (Version 1.0): U.S. Geological Survey Open-File Report 2007-1293, 53 p., https://doi.org/10.3133/ofr20071293.","productDescription":"53 p.","onlineOnly":"Y","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192070,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1293/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.25,36.916666666666664 ], [ -116.25,37.25 ], [ -115.91666666666667,37.25 ], [ -115.91666666666667,36.916666666666664 ], [ -116.25,36.916666666666664 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a22b","contributors":{"authors":[{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":293247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":293246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80672,"text":"ofr20071350 - 2007 - Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:23","indexId":"ofr20071350","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1350","title":"Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006","docAbstract":"The Everglades Depth Estimation Network (EDEN) is an integrated network of real-time water-level gaging stations, ground-elevation models, and water-surface models designed to provide scientists, engineers, and water-resource managers with current (2000-present) water-depth information for the entire freshwater portion of the greater Everglades. The U.S. Geological Survey Greater Everglades Priority Ecosystem Science provides support for EDEN and the goal of providing quality assured monitoring data for the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan. To increase the accuracy of the water-surface models, 25 real-time water-level gaging stations were added to the network of 253 established water-level gaging stations. To incorporate the data from the newly added stations to the 7-year EDEN database in the greater Everglades, the short-term water-level records (generally less than 1 year) needed to be simulated back in time (hindcasted) to be concurrent with data from the established gaging stations in the database. A three-step modeling approach using artificial neural network models was used to estimate the water levels at the new stations. The artificial neural network models used static variables that represent the gaging station location and percent vegetation in addition to dynamic variables that represent water-level data from the established EDEN gaging stations. The final step of the modeling approach was to simulate the computed error of the initial estimate to increase the accuracy of the final water-level estimate.\r\n\r\nThe three-step modeling approach for estimating water levels at the new EDEN gaging stations produced satisfactory results. The coefficients of determination (R2) for 21 of the 25 estimates were greater than 0.95, and all of the estimates (25 of 25) were greater than 0.82. The model estimates showed good agreement with the measured data. For some new EDEN stations with limited measured data, the record extension (hindcasts) included periods beyond the range of the data used to train the artificial neural network models. The comparison of the hindcasts with long-term water-level data proximal to the new EDEN gaging stations indicated that the water-level estimates were reasonable. The percent model error (root mean square error divided by the range of the measured data) was less than 6 percent, and for the majority of stations (20 of 25), the percent model error was less than 1 percent.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071350","collaboration":"Prepared in cooperation with the U.S. Geological Survey Greater Everglades Priority Ecosystems Science","usgsCitation":"Conrads, P., and Roehl, E.A., 2007, Hydrologic Record Extension of Water-Level Data in the Everglades Depth Estimation Network (EDEN) Using Artificial Neural Network Models, 2000-2006: U.S. Geological Survey Open-File Report 2007-1350, vi, 57 p., https://doi.org/10.3133/ofr20071350.","productDescription":"vi, 57 p.","onlineOnly":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":194670,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10528,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1350/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611e6b","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":293248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":293249,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80673,"text":"sir20075163 - 2007 - Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006","interactions":[],"lastModifiedDate":"2017-01-17T09:56:41","indexId":"sir20075163","displayToPublicDate":"2007-11-29T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5163","title":"Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006","docAbstract":"The effects of canals and roads on hydrologic conditions and on the health of Atlantic white cedar at the Emily and Richardson Preyer Buckridge Coastal Reserve in North Carolina were evaluated by using data collected from the 1980s to 2006. Water levels were monitored along two transects established perpendicular to roads and canals in areas of healthy and unhealthy Atlantic white cedar as part of a study conducted from February 2003 through March 2006. Because of the low hydraulic gradient at the Reserve, the rate and direction of water movement are sensitive to disturbance. Canals increased drainage and contributed to lower water levels in some parts of the Reserve, whereas roads, depending on orientation, impeded drainage. Canals also appeared to facilitate movement of brackish water from the Alligator River into the interior of the Reserve during storms and wind tides. Data indicate that an influx of brackish water occurred in mid-September 2005 several days after the passage of Hurricane Ophelia. Although precipitation amounts and wind speeds associated with Hurricane Ophelia were not large, substantial changes in specific conductance occurred at the canal site on the unhealthy Atlantic white cedar transect. No corresponding increase in specific conductance was observed at the canal site on the healthy Atlantic white cedar transect.\r\n\r\nThe specific conductance of water samples from canals and piezometers was highly correlated with concentrations of chloride and sodium. Ion ratios of some of the water samples, particularly samples with high specific conductance, were similar to those of seawater. Thermal and chemical stratification of water in the canals occurred during summer and winter months, and turnover and mixing occurred in the spring and fall. Upwelling of ground water as a result of excavation for roads did not appear to have a significant effect on the water quality of samples from the canals or piezometers. The specific conductance of water samples from piezometers installed in the root zone of healthy stands of Atlantic white cedar generally was lower than in water samples from unhealthy stands. This pattern also was observed in samples from piezometers installed on the transects and in other areas of the Reserve. Roads appear to have isolated some areas of the Reserve from the high-conductivity water in nearby canals. The paths by which brackish water entered the Reserve cannot be determined from the data obtained during this investigation. It appears that water can enter the Reserve from various directions, depending on wind patterns and water levels in the Alligator River.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075163","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Coastal Management","usgsCitation":"Ferrell, G.M., Strickland, A.G., and Spruill, T.B., 2007, Effects of Canals and Roads on Hydrologic Conditions and Health of Atlantic White Cedar at Emily and Richardson Preyer Buckridge Coastal Reserve, North Carolina, 2003-2006: U.S. Geological Survey Scientific Investigations Report 2007-5163, viii, 175 p., https://doi.org/10.3133/sir20075163.","productDescription":"viii, 175 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2003-02-01","temporalEnd":"2006-03-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195394,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10529,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5163/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Emily and Richardson Preyer Buckridge Coastal Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.91253662109375,\n              35.14461705293515\n            ],\n            [\n              -76.91253662109375,\n              36.16670524263733\n            ],\n            [\n              -75.51177978515625,\n              36.16670524263733\n            ],\n            [\n              -75.51177978515625,\n              35.14461705293515\n            ],\n            [\n              -76.91253662109375,\n              35.14461705293515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688cf7","contributors":{"authors":[{"text":"Ferrell, Gloria M. gferrell@usgs.gov","contributorId":1595,"corporation":false,"usgs":true,"family":"Ferrell","given":"Gloria","email":"gferrell@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":293250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strickland, A. Gerald","contributorId":88048,"corporation":false,"usgs":true,"family":"Strickland","given":"A.","email":"","middleInitial":"Gerald","affiliations":[],"preferred":false,"id":293252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spruill, Timothy B.","contributorId":51724,"corporation":false,"usgs":true,"family":"Spruill","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":293251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80666,"text":"ofr20071291 - 2007 - Magnetotelluric Data, Southern San Luis Valley, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20071291","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1291","title":"Magnetotelluric Data, Southern San Luis Valley, Colorado","docAbstract":"Introduction\r\n\r\nThe population of the San Luis Valley region is growing rapidly. The shallow unconfined and the deeper confined Santa Fe Group aquifer in the San Luis Basin is the main sources of municipal water for the region. Water shortfalls could have serious consequences. Future growth and land management in the region depend on accurate assessment and protection of the region's ground-water resources. An important issue in managing the ground-water resources is a better understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits that fill the Rio Grande rift, which contain the principal ground-water aquifers.\r\n\r\nThe U.S. Geological Survey (USGS) is conducting a series of multidisciplinary studies of the San Luis Basin located in southern Colorado. Detailed geologic mapping, high-resolution airborne magnetic surveys, gravity surveys, an electromagnetic survey, called magnetotellurics (MT), and hydrologic and lithologic data are being used to better understand the aquifer systems. The primary goal of the MT survey is to map changes in electrical resistivity with depth that are related to differences in rock type. These various rock types help control the properties of aquifers in the region. This report does not include any interpretation of the data. Its purpose is to release the MT data acquired at the 22 stations shown in figure 1.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20071291","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2007, Magnetotelluric Data, Southern San Luis Valley, Colorado (Version 1.0): U.S. Geological Survey Open-File Report 2007-1291, 208 p., https://doi.org/10.3133/ofr20071291.","productDescription":"208 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190865,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":10522,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1291/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106,37 ], [ -106,37.75 ], [ -105,37.75 ], [ -105,37 ], [ -106,37 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6493d9","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":293232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":293231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":80669,"text":"sir20075231 - 2007 - Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Upper Wabash River Basin, Indiana, 2003","interactions":[],"lastModifiedDate":"2023-09-14T21:50:04.12782","indexId":"sir20075231","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5231","title":"Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Upper Wabash River Basin, Indiana, 2003","docAbstract":"<p>Data were gathered from May through October 2003 at 38 randomly selected sites in the Upper Wabash River Basin, Indiana, for algal biomass, habitat, nutrients, and biological communities (fish and invertebrates). Basin characteristics (drainage area and land use) and biological-community attributes and metric scores were determined for each sampling site's basin. Yearly Principal Components Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related, using Spearman's rho, to the seasonal algal-biomass, basin-characteristics, habitat, seasonal nutrient, biological-community attribute and metric score data.</p>\n<p>The periphyton PC1 site score, which was most influenced by September chlorophyll a, was not related to the five basin-characteristics, nine habitat, or 12 nutrient variables examined. Of the 43 fish-community attributes and metric scores examined, the periphyton PC1 was negatively related to one attribute (tolerant percent) and positively related to one metric score (insectivore percent metric score). Of the 43 invertebrate-community attributes and metric scores examined, the periphyton PC1 was negatively related to three attributes (Ephemeroptera, Plecoptera, and Trichoptera (EPT) count, EPT-to-total ratio, and number of taxa) and four metric scores (EPT count metric score, EPT to total ratio metric score, macroinvertebrate Index of Biotic Integrity metric score, and number of taxa metric score). The seston PC1 was not related to the five basin-characteristics, nine habitat, or 12 nutrient variables or to the 43 fish- and 21 invertebrate-community attributes or metric scores examined.</p>\n<p>To understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The random site selection in 2003 in the Upper Wabash River Basin was skewed to small streams. The lack of large streams in the Upper Wabash River Basin could account for the few relations among the seston and the biological-community data.</p>\n<p>The values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (periphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and VII and USEPA Level III Ecoregions 55 and 56. Several nutrient values were greater than the 25th percentile of the published USEPA values. Chlorophyll a (periphyton and seston) values either were greater than the 25th percentile of published USEPA values or extended data ranges in the Aggregate Nutrient and Level III Ecoregions. If the proposed values for the 25th percentile were adopted as nutrient water-quality criteria, many samples in the Upper Wabash River Basin would have exceeded the criteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075231","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Leer, D.R., Caskey, B.J., Frey, J.W., and Lowe, B.S., 2007, Relations of principal components analysis site scores to algal-biomass, habitat, basin-characteristics, nutrient, and biological-community data in the Upper Wabash River Basin, Indiana, 2003: U.S. Geological Survey Scientific Investigations Report 2007-5231, vi, 25 p., https://doi.org/10.3133/sir20075231.","productDescription":"vi, 25 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 ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a69e4b07f02db63bc92","contributors":{"authors":[{"text":"Leer, Donald R.","contributorId":91185,"corporation":false,"usgs":true,"family":"Leer","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":293241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caskey, Brian J.","contributorId":104119,"corporation":false,"usgs":true,"family":"Caskey","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":293242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":293239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, B. Scott","contributorId":52671,"corporation":false,"usgs":true,"family":"Lowe","given":"B.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":293240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":80670,"text":"sir20075150 - 2007 - Winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in southern Texas 1999-2004","interactions":[],"lastModifiedDate":"2016-12-05T10:36:16","indexId":"sir20075150","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5150","title":"Winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in southern Texas 1999-2004","docAbstract":"<p>This study examines the winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in five Texas counties surrounding Corpus Christi, in southern Texas. There is a substantial gap in information on the owl's life cycle during migration and non-breeding winter months; almost all previous research on western burrowing owls has been conducted during the breeding season. The western burrowing owl currently is federally threatened in Mexico, federally endangered in Canada, and in the United States is considered a National Bird of Conservation Concern by the U.S. Fish and Wildlife Service. Topics investigated included status, effectiveness of public outreach, roost sites and use of culverts and artificial burrows, roost site fidelity, diet, contaminant burdens, body mass, and ectoparasites. Early ornithological reports and a museum egg set revealed that burrowing owls once bred in southern Texas and were common in winter; however, since the 1950's they have been reported in relatively low numbers and only during winter. In this study, public outreach increased western burrowing owl detections by 68 percent. Owls selected winter roost sites with small-diameter openings, including culverts less than or equal to 16 centimeters and artificial burrows of 15 centimeters, probably because the small diameters deterred mammalian predators. Owls showed strong roost site fidelity; 15 banded birds stayed at the same roost sites within a winter, and 8 returned to the same site the following winter. The winter diet was over 90 percent insects, with crickets the primary prey. Analyses of invertebrate prey and regurgitated pellets showed that residues of all but 3 of 28 carbamate and organophosphate pesticides were detected at least once, but all were below known lethal concentrations. Mean body mass of western burrowing owls was 168 grams and was highest in midwinter. Feather lice were detected in low numbers on a few owls, but no fleas or other ectoparasites were found.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075150","collaboration":"Prepared in cooperation with Texas A&M University-Corpus Christi","usgsCitation":"Woodin, M.C., Skoruppa, M.K., and Hickman, G.C., 2007, Winter ecology of the western burrowing owl (<i>Athene cunicularia hypugaea</i>) in southern Texas 1999-2004: U.S. Geological Survey Scientific Investigations Report 2007-5150, viii, 34 p., https://doi.org/10.3133/sir20075150.","productDescription":"viii, 34 p.","temporalStart":"1999-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":120979,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5150.jpg"},{"id":10526,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5150/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Jim Wells, Kleberg, Nueces, Refugio, San Patricio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.624267578125,\n              26.54922257769204\n            ],\n            [\n              -98.624267578125,\n              28.806173508854776\n            ],\n            [\n              -96.15234375,\n              28.806173508854776\n            ],\n            [\n              -96.15234375,\n              26.54922257769204\n            ],\n            [\n              -98.624267578125,\n              26.54922257769204\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e1e4b07f02db5e498f","contributors":{"authors":[{"text":"Woodin, Marc C.","contributorId":56316,"corporation":false,"usgs":true,"family":"Woodin","given":"Marc","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":293244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skoruppa, Mary K.","contributorId":30692,"corporation":false,"usgs":true,"family":"Skoruppa","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":293243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Graham C.","contributorId":92354,"corporation":false,"usgs":true,"family":"Hickman","given":"Graham","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":293245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":80667,"text":"sir20075222 - 2007 - Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001","interactions":[],"lastModifiedDate":"2016-05-24T08:52:04","indexId":"sir20075222","displayToPublicDate":"2007-11-28T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-5222","title":"Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001","docAbstract":"<p>Data were gathered from July through September 2001 at 34 randomly selected sites in the West Fork White River Basin, Indiana for algal biomass, habitat, nutrients, and biological communities (fish and invertebrates). Basin characteristics (drainage area and land use) and biological-community attributes and metric scores were determined for the basin of each sampling site. Yearly Principal Components Analysis site scores were calculated for algal biomass (periphyton and seston). The yearly Principal Components Analysis site scores for the first axis (PC1) were related, using Spearman's rho, to the seasonal algal-biomass, basin-characteristics, habitat, seasonal nutrient, biological-community attribute and metric score data. The periphyton PC1 site score, which was most influenced by ash-free dry mass, was negatively related to one (percent closed canopy) of nine habitat variables examined. Of the 43 fish-community attributes and metric scores examined, the periphyton PC1 was positively related to one fish-community attribute (percent tolerant). Of the 21 invertebrate-community attributes and metric scores examined, the periphyton PC1 was positively related to one attribute (Ephemeroptera, Plecoptera, and Trichoptera (EPT) index) and one metric score (EPT index metric score). The periphyton PC1 was not related to the five basin-characteristic or 12 nutrient variables examined. The seston PC1 site score, which was most influenced by particulate organic carbon, was negatively related to two of the 12 nutrient variables examined: total Kjeldahl nitrogen (July) and total phosphorus (July). Of the 43 fish-community attributes and metric scores examined, the seston PC1 was negatively related to one attribute (large-river percent). Of the 21 invertebrate-community attributes and metric scores examined, the seston PC1 was negatively related to one attribute (EPT-to-total ratio). The seston PC1 was not related to the five basin-characteristics or nine habitat variables examined. To understand how the choice of sampling sites might have affected the results, an analysis of the drainage area and land use was done. The 34 randomly selected sites in the West Fork White River Basin in 2001 were skewed to small streams. The dominant mean land use of the sites sampled was agriculture, followed by forest, and urban. The values for nutrients (nitrate, total Kjeldahl nitrogen, total nitrogen, and total phosphorus) and chlorophyll a (periphyton and seston) were compared to published U.S. Environmental Protection Agency (USEPA) values for Aggregate Nutrient Ecoregions VI and IX and Level III Ecoregions 55 and 72. Several nutrient values were greater than the 25th percentile of the published USEPA values. Chlorophyll a (periphyton and seston) values were either greater than the 25th percentile of published USEPA values or extended data ranges in the Aggregate Nutrient Ecoregions and Level III Ecoregions. If the proposed values for the 25th percentile were adopted as nutrient water-quality criteria, many samples in the West Fork White River Basin would have exceeded the criteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20075222","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management, Division of Water, Assessment Branch","usgsCitation":"Frey, J.W., Caskey, B.J., and Lowe, B.S., 2007, Relations of Principal Components Analysis Site Scores to Algal-Biomass, Habitat, Basin-Characteristics, Nutrient, and Biological-Community Data in the West Fork White River Basin, Indiana, 2001: U.S. Geological Survey Scientific Investigations Report 2007-5222, vi, 26 p., https://doi.org/10.3133/sir20075222.","productDescription":"vi, 26 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