{"pageNumber":"153","pageRowStart":"3800","pageSize":"25","recordCount":11004,"records":[{"id":70047669,"text":"sim3268 - 2013 - Geologic map of the Glen Canyon Dam 30’ x 60’ quadrangle, Coconino County, northern Arizona","interactions":[],"lastModifiedDate":"2023-06-05T14:54:57.166067","indexId":"sim3268","displayToPublicDate":"2013-08-19T08:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3268","title":"Geologic map of the Glen Canyon Dam 30’ x 60’ quadrangle, Coconino County, northern Arizona","docAbstract":"The Glen Canyon Dam 30’ x 60’ quadrangle is characterized by nearly flat lying to gently dipping Paleozoic and Mesozoic sedimentary strata that overlie tilted Proterozoic strata or metasedimentary and igneous rocks similar to those exposed at the bottom of Grand Canyon southwest of the quadrangle. Mississippian to Permian rocks are exposed in the walls of Marble Canyon; Permian strata and minor outcrops of Triassic strata form the surface bedrock of House Rock Valley and Marble Plateau, southwestern quarter of the quadrangle. The Paleozoic strata exposed in Marble Canyon and Grand Canyon south of the map are likely present in the subsurface of the entire quadrangle but with unknown facies and thickness changes.\n\nThe Mesozoic sedimentary rocks exposed along the Vermilion and Echo Cliffs once covered the entire quadrangle, but Cenozoic erosion has removed most of these rocks from House Rock Valley and Marble Plateau areas. Mesozoic strata remain over much of the northern and eastern portions of the quadrangle where resistant Jurassic sandstone units form prominent cliffs, escarpments, mesas, buttes, and much of the surface bedrock of the Paria, Kaibito, and Rainbow Plateaus. Jurassic rocks in the northeastern part of quadrangle are cut by a sub-Cretaceous regional unconformity that bevels the Entrada Sandstone and Morrison Formation from Cummings Mesa southward to White Mesa near Kaibito. Quaternary deposits, mainly eolian, mantle much of the Paria, Kaibito, and Rainbow Plateaus in the northern and northeastern portion of the quadrangle. Alluvial deposits are widely distributed over parts of House Rock Valley and Marble Plateau in the southwest quarter of the quadrangle.\n\nThe east-dipping strata of the Echo Cliffs Monocline forms a general north-south structural boundary through the central part of the quadrangle, separating Marble and Paria Plateaus west of the monocline from the Kaibito Plateau east of the monocline. The Echo Cliffs Monocline continues north of the quadrangle into southern Utah.\n\nThe gentle north- and northeast-dipping Mesozoic strata on the Kaibito and Rainbow Plateaus are partly interrupted by northwest-trending, broad-based, ill-defined synclines and anticlines. These broad-based structures form mesas and buttes near anticlinal crests and deeply incised drainages in synclinal valleys. The 1,300-ft-thick (396-m-thick) Navajo Sandstone erodes into a maze of tributary slot canyons in the northeastern part of the quadrangle. Mesozoic strata in the extreme northeast corner of the quadrangle dip gently southwest due to the influence of the Monument Upwarp in southeastern Utah and by an intrusive uplift (laccolith) that forms Navajo Mountain, a prominent 10,388 ft (3,166 m) landmark just northeast of the quadrangle.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3268","collaboration":"Prepared in cooperation with the National Park Service, the U.S. Forest Service, the Bureau of Land Management, and the Navajo Nation","usgsCitation":"Billingsley, G.H., and Priest, S.S., 2013, Geologic map of the Glen Canyon Dam 30’ x 60’ quadrangle, Coconino County, northern Arizona: U.S. Geological Survey Scientific Investigations Map 3268, Pamphlet: ii, 41 p.; 1 Plate: 71.79 x 40.64 inches; Readme; Metadata; GIS Database; Shapefiles, https://doi.org/10.3133/sim3268.","productDescription":"Pamphlet: ii, 41 p.; 1 Plate: 71.79 x 40.64 inches; Readme; Metadata; GIS Database; Shapefiles","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":276727,"rank":10,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3268.gif"},{"id":276724,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3268/downloads/SIM3268_metadata.txt","linkFileType":{"id":2,"text":"txt"}},{"id":276720,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3268/pdf/sim3268_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":276725,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3268/downloads/glca_db.zip"},{"id":276726,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3268/downloads/glca_shape.zip"},{"id":276718,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3268/","linkFileType":{"id":5,"text":"html"}},{"id":276723,"rank":9,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3268/downloads/README.txt"},{"id":276722,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3268/pdf/sim3268_sheet3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":417736,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98793.htm","linkFileType":{"id":5,"text":"html"}},{"id":276721,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3268/pdf/sim3268_sheet2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":276719,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3268/pdf/sim3268_sheet1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"50000","projection":"Polyconic Projection","datum":"1927 North American Datum","country":"United States","state":"Arizona","county":"Coconino County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112,\n              36.5\n            ],\n            [\n              -112,\n              37\n            ],\n            [\n              -111,\n              37\n            ],\n            [\n              -111,\n              36.5\n            ],\n            [\n              -112,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52136df2e4b0b08f4461988b","contributors":{"authors":[{"text":"Billingsley, George H.","contributorId":20711,"corporation":false,"usgs":true,"family":"Billingsley","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":482677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Priest, Susan S. spriest@usgs.gov","contributorId":30204,"corporation":false,"usgs":true,"family":"Priest","given":"Susan","email":"spriest@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":false,"id":482678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047661,"text":"gq1766 - 2013 - Geologic map of the Lead Mountain 15’ quadrangle, San Bernardino County, California","interactions":[],"lastModifiedDate":"2023-06-05T14:57:01.008193","indexId":"gq1766","displayToPublicDate":"2013-08-16T13:18:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":316,"text":"Geologic Quadrangle","code":"GQ","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1766","title":"Geologic map of the Lead Mountain 15’ quadrangle, San Bernardino County, California","docAbstract":"The Lead Mountain 15’ quadrangle in the Mojave Desert contains a record of Jurassic, Cretaceous, Tertiary, and Quaternary magmatism. Small amounts of Mesoproterozoic(?) augen gneiss and Paleozoic and Mesozoic(?) metasedimentary rocks are preserved in small patches; they are intruded by voluminous Jurassic plutons of quartz diorite to granite composition and by Late Cretaceous granite of the Cadiz Valley batholith. Jurassic intrusive rocks include part of the Bullion Mountain Intrusive Suite and also younger dikes inferred to be part of the Jurassic Independence dike swarm. A contact-metamorphosed aureole 2 km wide in the Jurassic plutonic rocks fringes the Cadiz Valley batholith. Early Miocene dacitic magmatism produced a dense swarm of dikes in the eastern Bullion Mountains and the volcanic-intrusive remnant of a volcano at Lead Mountain. Tilting of the dike swarm from inferred vertical orientations may have resulted from Miocene tectonic extension. Conglomerate of Pliocene and (or) Miocene age is also tilted. Younger volcanism is recorded by Pliocene basalt of the Deadman Lake volcanic field, basalt of Lead Mountain (approximately 0.36 Ma), and the even younger basalt of Amboy. Quaternary sedimentation built alluvial fans and filled playas in the map area. Faulting in the dextral eastern California shear zone produced several northwest-striking faults in the quadrangle, some of them active into the Pleistocene and some that may have many kilometers of right-lateral offset.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gq1766","usgsCitation":"Howard, K.A., Jagiello, K.J., Fitzgibbon, T.T., and John, B.E., 2013, Geologic map of the Lead Mountain 15’ quadrangle, San Bernardino County, California: U.S. Geological Survey Geologic Quadrangle 1766, Pamphlet: ii, 17 p.; 1 Plate: 30.68 × 33.11 inches, https://doi.org/10.3133/gq1766.","productDescription":"Pamphlet: ii, 17 p.; 1 Plate: 30.68 × 33.11 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":276691,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/gq/1766/pdf/gq1766_sheet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":276689,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/gq/1766/","linkFileType":{"id":5,"text":"html"}},{"id":276690,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gq/1766/pdf/gq1766_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":276692,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gq1766.JPG"},{"id":398882,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98797.htm","linkFileType":{"id":5,"text":"html"}}],"scale":"62500","country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Lead Mountain 15' quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116,\n              34.25\n            ],\n            [\n              -115.75,\n              34.25\n            ],\n            [\n              -115.75,\n              34.5\n            ],\n            [\n              -116,\n              34.5\n            ],\n            [\n              -116,\n              34.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520f3beae4b0fc50304bc484","contributors":{"authors":[{"text":"Howard, Keith A. 0000-0002-6462-2947 khoward@usgs.gov","orcid":"https://orcid.org/0000-0002-6462-2947","contributorId":3439,"corporation":false,"usgs":true,"family":"Howard","given":"Keith","email":"khoward@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":482665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jagiello, Keith J.","contributorId":13516,"corporation":false,"usgs":true,"family":"Jagiello","given":"Keith","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzgibbon, Todd T.","contributorId":81126,"corporation":false,"usgs":true,"family":"Fitzgibbon","given":"Todd","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":482667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"John, Barbara E.","contributorId":94186,"corporation":false,"usgs":true,"family":"John","given":"Barbara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482668,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047611,"text":"sir20135130 - 2013 - Water levels in the aquifers of the Nacatoch Sand of southwestern and northeastern Arkansas and the Tokio Formation of southwestern Arkansas, February–March 2011","interactions":[],"lastModifiedDate":"2013-08-14T14:54:30","indexId":"sir20135130","displayToPublicDate":"2013-08-14T14:05:00","publicationYear":"2013","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":"2013-5130","title":"Water levels in the aquifers of the Nacatoch Sand of southwestern and northeastern Arkansas and the Tokio Formation of southwestern Arkansas, February–March 2011","docAbstract":"The aquifers in the Nacatoch Sand and Tokio Formation in southwestern Arkansas and the Nacatoch Sand in northeastern Arkansas are sources of water for industrial, public supply, domestic, and agricultural uses. Potentiometric-surface maps were constructed from water-level measurements made in 47 wells completed in the Nacatoch Sand and 45 wells completed in the Tokio Formation during February and March 2011. Aquifers in the Nacatoch Sand and Tokio Formation are hereafter referred to as the Nacatoch aquifer and the Tokio aquifer, respectively.  The direction of groundwater flow in the Nacatoch aquifer in southwestern Arkansas is towards the southeast in Hempstead, Little River, and Miller Counties and east-southeast in Clark and Nevada Counties. A potentiometric high is located within the outcrop area of north-central Hempstead County. Two cones of depression exist in the Nacatoch aquifer, one at Hope in southeastern Hempstead County and one in Clark County.  The direction of groundwater flow in the Nacatoch aquifer in northeastern Arkansas generally is towards the southeast. A potentiometric high in the study area is located along the north and northwestern boundaries of the area, but water levels may be higher outside the study area.  In northeastern Arkansas, groundwater withdrawals from the Nacatoch aquifer increased by 564 percent from 1965 to 2010. In southwestern Arkansas, groundwater withdrawals from the Nacatoch Sand increased by 125 percent from 1965 to 1980, and withdrawals decreased by 85 percent from 1980 to 2010. In southwestern Arkansas, groundwater withdrawals from the Tokio aquifer increased by 201 percent from 1965 to 1980, and withdrawals decreased by 81 percent from 1980 to 2000. Withdrawals from the Tokio aquifer increased by 291 percent from 2000 to 2005, and withdrawals decreased by 32 percent from 2005 to 2010.  The direction of groundwater flow in the Tokio aquifer in southwestern Arkansas generally is towards the south or southeast. The potentiometric high is within the outcrop area in the northern part of the area. Artesian flow exists or is inferred in southeastern Pike, northeastern Hempstead, and northwestern Nevada Counties. One apparent cone of depression might exist northwest of Hope in Hempstead County.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135130","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Schrader, T., and Rodgers, K.D., 2013, Water levels in the aquifers of the Nacatoch Sand of southwestern and northeastern Arkansas and the Tokio Formation of southwestern Arkansas, February–March 2011: U.S. Geological Survey Scientific Investigations Report 2013-5130, iv, 22 p., https://doi.org/10.3133/sir20135130.","productDescription":"iv, 22 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":276614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135130.gif"},{"id":276613,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5130/pdf/sir2013-5130.pdf"},{"id":276612,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5130/"}],"country":"United States","state":"Arkansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.64,36.5 ], [ -89.64,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520c98e1e4b081fa6136d3ca","contributors":{"authors":[{"text":"Schrader, T. P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.","middleInitial":"P.","affiliations":[],"preferred":false,"id":482528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodgers, Kirk D. 0000-0003-4322-2781 krodgers@usgs.gov","orcid":"https://orcid.org/0000-0003-4322-2781","contributorId":4946,"corporation":false,"usgs":true,"family":"Rodgers","given":"Kirk","email":"krodgers@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047602,"text":"70047602 - 2013 - Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s","interactions":[],"lastModifiedDate":"2018-09-13T14:29:27","indexId":"70047602","displayToPublicDate":"2013-08-14T09:38:20","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s","docAbstract":"A regional assessment of multi-decadal changes in nitrate concentrations was done using historical data and a spatially stratified non-biased approach. Data were stratified into physiographic subregions on the basis of geomorphology and soils data to represent zones of historical recharge and discharge patterns in the basin. Data were also stratified by depth to represent a shallow zone generally representing domestic drinking-water supplies and a deep zone generally representing public drinking-water supplies. These stratifications were designed to characterize the regional extent of groundwater with common redox and age characteristics, two factors expected to influence changes in nitrate concentrations over time. Overall, increasing trends in nitrate concentrations and the proportion of nitrate concentrations above 5 mg/L were observed in the east fans subregion of the Central Valley. Whereas the west fans subregion has elevated nitrate concentrations, temporal trends were not detected, likely due to the heterogeneous nature of the water quality in this area and geologic sources of nitrate, combined with sparse and uneven data coverage. Generally low nitrate concentrations in the basin subregion are consistent with reduced geochemical conditions resulting from low permeability soils and higher organic content, reflecting the distal portions of alluvial fans and historical groundwater discharge areas. Very small increases in the shallow aquifer in the basin subregion may reflect downgradient movement of high nitrate groundwater from adjacent areas or overlying intensive agricultural inputs. Because of the general lack of regionally extensive long-term monitoring networks, the results from this study highlight the importance of placing studies of trends in water quality into regional context. Earlier work concluded that nitrate concentrations were steadily increasing over time in the eastern San Joaquin Valley, but clearly those trends do not apply to other physiographic subregions within the Central Valley, even where land use and climate are similar.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12665-012-2082-4","usgsCitation":"Burow, K.R., Jurgens, B., Belitz, K., and Dubrovsky, N.M., 2013, Assessment of regional change in nitrate concentrations in groundwater in the Central Valley, California, USA, 1950s-2000s: Environmental Earth Sciences, v. 69, no. 8, p. 2609-2621, https://doi.org/10.1007/s12665-012-2082-4.","productDescription":"13 p.","startPage":"2609","endPage":"2621","ipdsId":"IP-036857","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":276591,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12665-012-2082-4"},{"id":276594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.78,35.07 ], [ -122.78,40.74 ], [ -118.8,40.74 ], [ -118.8,35.07 ], [ -122.78,35.07 ] ] ] } } ] }","volume":"69","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-11-04","publicationStatus":"PW","scienceBaseUri":"520c98d2e4b081fa6136d3c2","contributors":{"authors":[{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":482506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":482503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubrovsky, Neil M. 0000-0001-7786-1149 nmdubrov@usgs.gov","orcid":"https://orcid.org/0000-0001-7786-1149","contributorId":1799,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"Neil","email":"nmdubrov@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482505,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047593,"text":"sir20133035 - 2013 - New service interface for River Forecasting Center derived quantitative precipitation estimates","interactions":[],"lastModifiedDate":"2013-08-13T13:26:21","indexId":"sir20133035","displayToPublicDate":"2013-08-13T12:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3035","title":"New service interface for River Forecasting Center derived quantitative precipitation estimates","docAbstract":"For more than a decade, the National Weather Service (NWS) River Forecast Centers (RFCs) have been estimating spatially distributed rainfall by applying quality-control procedures to radar-indicated rainfall estimates in the eastern United States and other best practices in the western United States to producea national Quantitative Precipitation Estimate (QPE) (National Weather Service, 2013). The availability of archives of QPE information for analytical purposes has been limited to manual requests for access to raw binary file formats that are difficult for scientists who are not in the climatic sciences to work with. The NWS provided the QPE archives to the U.S. Geological Survey (USGS), and the contents of the real-time feed from the RFCs are being saved by the USGS for incorporation into the archives. The USGS has applied  time-series aggregation and added latitude-longitude coordinate variables to publish the RFC QPE data. Web services provide users with direct (index-based) data access, rendered visualizations of the data, and resampled raster representations of the source data in common geographic information formats.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20133035","usgsCitation":"Blodgett, D.L., 2013, New service interface for River Forecasting Center derived quantitative precipitation estimates: U.S. Geological Survey Fact Sheet 2013-3035, 2 p., https://doi.org/10.3133/sir20133035.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":276568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276566,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3035/"},{"id":276567,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3035/pdf/fs2013-3035.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067db4","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482476,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047545,"text":"70047545 - 2013 - Measuring environmental change in forest ecosystems by repeated soil sampling: a North American perspective","interactions":[],"lastModifiedDate":"2013-08-11T17:39:37","indexId":"70047545","displayToPublicDate":"2013-08-11T17:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Measuring environmental change in forest ecosystems by repeated soil sampling: a North American perspective","docAbstract":"Environmental change is monitored in North America through repeated measurements of weather, stream and river flow, air and water quality, and most recently, soil properties. Some skepticism remains, however, about whether repeated soil sampling can effectively distinguish between temporal and spatial variability, and efforts to document soil change in forest ecosystems through repeated measurements are largely nascent and uncoordinated. In eastern North America, repeated soil sampling has begun to provide valuable information on environmental problems such as air pollution. This review synthesizes the current state of the science to further the development and use of soil resampling as an integral method for recording and understanding environmental change in forested settings. The origins of soil resampling reach back to the 19th century in England and Russia. The concepts and methodologies involved in forest soil resampling are reviewed and evaluated through a discussion of how temporal and spatial variability can be addressed with a variety of sampling approaches. Key resampling studies demonstrate the type of results that can be obtained through differing approaches. Ongoing, large-scale issues such as recovery from acidification, long-term N deposition, C sequestration, effects of climate change, impacts from invasive species, and the increasing intensification of soil management all warrant the use of soil resampling as an essential tool for environmental monitoring and assessment. Furthermore, with better awareness of the value of soil resampling, studies can be designed with a long-term perspective so that information can be efficiently obtained well into the future to address problems that have not yet surfaced.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Crop Science Society of America","doi":"10.2134/jeq2012.0378","usgsCitation":"Lawrence, G.B., Fernandez, I.J., Richter, D.D., Ross, D., Hazlett, P.W., Bailey, S.W., , O., Warby, R.A., Johnson, A.H., Lin, H., Kaste, J.M., Lapenis, A.G., and Sullivan, T.J., 2013, Measuring environmental change in forest ecosystems by repeated soil sampling: a North American perspective: Journal of Environmental Quality, v. 42, no. 3, p. 623-639, https://doi.org/10.2134/jeq2012.0378.","productDescription":"17 p.","startPage":"623","endPage":"639","ipdsId":"IP-043243","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":276285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276284,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2012.0378"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-01","publicationStatus":"PW","scienceBaseUri":"5208a45ce4b0058b906bf5a8","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandez, Ivan J.","contributorId":80174,"corporation":false,"usgs":true,"family":"Fernandez","given":"Ivan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richter, Daniel D.","contributorId":99458,"corporation":false,"usgs":true,"family":"Richter","given":"Daniel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":482332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Donald S.","contributorId":9565,"corporation":false,"usgs":true,"family":"Ross","given":"Donald S.","affiliations":[],"preferred":false,"id":482322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazlett, Paul W.","contributorId":101177,"corporation":false,"usgs":true,"family":"Hazlett","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":" Oiumet","contributorId":42864,"corporation":false,"usgs":true,"given":"Oiumet","email":"","affiliations":[],"preferred":false,"id":482326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warby, Richard A.F.","contributorId":94950,"corporation":false,"usgs":true,"family":"Warby","given":"Richard","email":"","middleInitial":"A.F.","affiliations":[],"preferred":false,"id":482331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Arthur H.","contributorId":55732,"corporation":false,"usgs":true,"family":"Johnson","given":"Arthur","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":482327,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lin, Henry","contributorId":76636,"corporation":false,"usgs":true,"family":"Lin","given":"Henry","email":"","affiliations":[],"preferred":false,"id":482328,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kaste, James M.","contributorId":28159,"corporation":false,"usgs":true,"family":"Kaste","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482323,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lapenis, Andrew G.","contributorId":35635,"corporation":false,"usgs":true,"family":"Lapenis","given":"Andrew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482324,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sullivan, Timothy J.","contributorId":77812,"corporation":false,"usgs":true,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482329,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70047550,"text":"sim3261 - 2013 - California State Waters Map Series: Offshore of Carpinteria, California","interactions":[],"lastModifiedDate":"2022-04-15T21:36:17.114029","indexId":"sim3261","displayToPublicDate":"2013-08-11T16:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3261","title":"California State Waters Map Series: Offshore of Carpinteria, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.\n\nThe Offshore of Carpinteria map area lies within the central Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and the region is presently undergoing north-south shortening.\n\nThe small city of Carpinteria is the most significant onshore cultural center in the map area; the smaller town of Summerland lies west of Carpinteria. These communities rest on a relatively flat coastal piedmont that is surrounded on the north, east, and west by hilly relief on the flanks of the Santa Ynez Mountains. El Estero, a salt marsh on the coast west of Carpinteria, is an ecologically important coastal estuary. Southeast of Carpinteria, the coastal zone is narrow strip containing highway and railway transportation corridors and a few small residential clusters. Rincon Point is a well-known world-class surf break, and Rincon Island, constructed for oil and gas production, lies offshore of Punta Gorda. The steep bluffs backing the coastal strip are geologically unstable, and coastal erosion problems are ongoing in the map area; most notably, landslides in 2005 struck the small coastal community of La Conchita, engulfing houses and killing ten people.\n\nThe Offshore of Carpinteria map area lies in the central part of the Santa Barbara littoral cell, whose littoral drift is to the east-southeast. Drift rates have been estimated to be about 400,000 tons/yr at Santa Barbara Harbor (about 15 km west of Carpinteria). At the east end of the littoral cell, eastward-moving sediment is trapped by Hueneme and Mugu Canyons and then transported to the deep-water Santa Monica Basin. Sediment supply to the western and central part of the littoral cell is largely from relatively small transverse coastal watersheds, which have an estimated cumulative annual sediment flux of 640,000 tons/yr. The much larger Ventura and Santa Clara Rivers, the mouths of which are about 25 to 30 km southeast of Carpinteria, yield an estimated 3.4 million tons of sediment annually, the coarser sediment load generally moving southeast, down the coast, and the finer sediment load moving both upcoast and offshore.\n\nThe offshore part of the map area consists of a relatively flat and shallow continental shelf, which dips so gently (about 0.4° to 0.5°) that water depths at the 3-nautical-mile limit of California’s State Waters are 40 to 45 m. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. Fair-weather wave base is typically shallower than 20-m water depth, but winter storms are capable of resuspending fine-grained sediments in 30 m of water, and so shelf sediments in the map area probably are remobilized on an annual basis. The shelf is underlain by variable amounts of upper Quaternary shelf, estuarine, and fluvial sediments that thicken to the south.\n\nSeafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Carpinteria map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats lie within the Shelf (continental shelf) megahabitat, dominated by a flat seafloor and substrates formed from deposition of fluvial and marine sediment during sea-level rise. This fairly homogeneous seafloor provides promising habitat for groundfish, crabs, shrimp, and other marine benthic organisms. The only significant interruptions to this homogeneous habitat type are the exposures of hard, irregular, and hummocky sedimentary bedrock and coarse-grained sediment where potential habitats for rockfish and related species exist.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3261","usgsCitation":"Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N., Phillips, E., Ritchie, A.C., Kvitek, R.G., Greene, H., Endris, C.A., Seitz, G., Sliter, R.W., Erdey, M.D., Wong, F.L., Gutierrez, C.I., Krigsman, L., Draut, A.E., and Hart, P.E., 2013, California State Waters Map Series: Offshore of Carpinteria, California: U.S. Geological Survey Scientific Investigations Map 3261, Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data Catalog, https://doi.org/10.3133/sim3261.","productDescription":"Pamphlet: iv, 42 p.; Maps: 10 Sheets: 49.00 × 36.00 inches or smaller; Metadata; Data 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aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kvitek, Rikk G.","contributorId":107804,"corporation":false,"usgs":true,"family":"Kvitek","given":"Rikk","email":"","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greene, H. Gary","contributorId":87983,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":482376,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Endris, Charles A.","contributorId":87824,"corporation":false,"usgs":true,"family":"Endris","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482375,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Seitz, Gordon G.","contributorId":17303,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon G.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":482371,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sliter, Ray W. 0000-0003-0337-3454 rsliter@usgs.gov","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":1992,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","email":"rsliter@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482364,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Erdey, Mercedes D. merdey@usgs.gov","contributorId":5411,"corporation":false,"usgs":true,"family":"Erdey","given":"Mercedes","email":"merdey@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482370,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482363,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gutierrez, Carlos I.","contributorId":32799,"corporation":false,"usgs":true,"family":"Gutierrez","given":"Carlos","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":482372,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Krigsman, Lisa M.","contributorId":43642,"corporation":false,"usgs":true,"family":"Krigsman","given":"Lisa M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":482373,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Draut, Amy E.","contributorId":92215,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482377,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482368,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70047506,"text":"70047506 - 2013 - Sustainably connecting children with nature: an exploratory study of nature play area visitor impacts and their management","interactions":[],"lastModifiedDate":"2013-10-30T13:16:16","indexId":"70047506","displayToPublicDate":"2013-08-08T11:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Sustainably connecting children with nature: an exploratory study of nature play area visitor impacts and their management","docAbstract":"Parks are developing nature play areas to improve children's health and “connect” them with nature. However, these play areas are often located in protected natural areas where managers must balance recreation with associated environmental impacts. In this exploratory study, we sought to describe these impacts. We also investigated which ages, gender, and play group sizes most frequently caused impact and where impacts most frequently occur.\n\nWe measured the lineal and aerial extent and severity of impacts at three play areas in the eastern United States. Methods included soil and vegetation loss calculations, qualitative searches and tree and shrub damage classifications. Additionally, we observed 12 h of play at five play areas. Results showed that measurable negative impacts were caused during 33% of the time children play. On average, 76% of groundcover vegetation was lost at recreation sites and 100% was lost at informal trails. In addition, approximately half of all trees and shrubs at sites were damaged. Meanwhile, soil exposure was 25% greater on sites and trails than at controls. Boys and small group sizes more frequently caused impact, and informal recreation sites were most commonly used for play. No statistically significant correlations were found between age or location and impact frequency.\n\nManagers interested in developing nature play areas should be aware of, but not deterred by these impacts. The societal benefits of unstructured play in nature may outweigh the environmental costs. Recommended management strategies include selecting impact-resistant sites, improving site resistance, promoting low impact practices, and managing adaptively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2013.07.004","usgsCitation":"Browning, M.H., Marion, J.L., and Gregoire, T.G., 2013, Sustainably connecting children with nature: an exploratory study of nature play area visitor impacts and their management: Landscape and Urban Planning, v. 119, p. 104-112, https://doi.org/10.1016/j.landurbplan.2013.07.004.","productDescription":"9 p.","startPage":"104","endPage":"112","ipdsId":"IP-045531","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":276209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276208,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2013.07.004"}],"volume":"119","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdbe4b0403aa62629be","contributors":{"authors":[{"text":"Browning, Matthew H.E.M.","contributorId":62911,"corporation":false,"usgs":true,"family":"Browning","given":"Matthew","email":"","middleInitial":"H.E.M.","affiliations":[],"preferred":false,"id":482210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marion, Jeffrey L.","contributorId":56322,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregoire, Timothy G.","contributorId":85077,"corporation":false,"usgs":true,"family":"Gregoire","given":"Timothy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174266,"text":"70174266 - 2013 - Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","interactions":[],"lastModifiedDate":"2016-07-06T17:02:25","indexId":"70174266","displayToPublicDate":"2013-08-06T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\">\n<p id=\"p-1\">Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.</p>\n</div>\n<p id=\"p-2\">Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.</p>\n<p id=\"p-3\">Although explorationists have surmised that subtle, narrow, linear aeromagnetic anomalies or gradients are caused by intrasedimentary faults, the nature of the magnetic sources has been debated. A common and intuitive explanation for the linear anomalies considers that the magnetic properties of the fault zone have been altered by secondary chemical processes, either through the growth or destruction of magnetic minerals. However, comprehensive, multidisciplinary studies of partially exposed intrasedimentary faults in basins within the central Rio Grande Rift, New Mexico, have shown that the anomalies can be completely explained by the tectonic juxtaposition of strata of differing magnetic properties at the fault (summarized in <a id=\"xref-ref-7-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-7\">Grauch and Hudson, 2007</a>, <a id=\"xref-ref-8-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-8\">2011</a>). Whereas a reduction in magnetic susceptibility was detected at some fault zones in the laboratory, the slight reduction and small volume of material affected were insufficient to produce aeromagnetic anomalies (<a id=\"xref-ref-12-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-12\">Hudson et al., 2008</a>).</p>\n<p id=\"p-4\">A key finding of the studies summarized by <a id=\"xref-ref-7-2\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-7\">Grauch and Hudson (2007</a>, <a id=\"xref-ref-8-2\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-8\">2011</a>) is that multiple magnetic contrasts (sources) can be vertically stacked at one fault. This situation requires rethinking of common assumptions when modeling faults as simple steps or when interpreting depth-estimation results. The multiple contrasts in these case studies arise from the tectonic juxtaposition of stratified sediments with differing magnetic properties. Multiple, vertically stacked magnetic sources also can occur where volcanic layers are interbedded with the sedimentary section or where faults offset both shallow bedrock and its overlying sedimentary cover. The latter situation is common at basin margins.</p>\n<p id=\"p-5\">Herein, we summarize and expand on an investigation of the sources of aeromagnetic anomalies related to faults along the eastern margin of the San Luis Basin, northern Rio Grande Rift, Colorado (<a id=\"xref-ref-6-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-6\">Grauch et al., 2010</a>). Similar to the faults examined in the central Rio Grande Rift, magnetic sources can be completely explained by tectonic juxtaposition and produce multiple, vertically stacked magnetic contrasts at individual faults. However, the geologic sources are different. They arise from both the sedimentary cover and the underlying bedrock rather than from stratified sediments. In addition, geologic evidence for secondary growth or destruction of magnetic minerals at the fault zone is lacking.</p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle32080882.1","usgsCitation":"Grauch, V.J., Bedrosian, P.A., and Drenth, B.J., 2013, Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado: The Leading Edge, v. 32, no. 8, p. 882-891, https://doi.org/10.1190/tle32080882.1.","productDescription":"10 p.","startPage":"882","endPage":"891","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044990","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":324783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Basin","geographicExtents":"{\n  \"type\": 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J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":641660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":641659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":641658,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047430,"text":"70047430 - 2013 - The LANDFIRE Refresh strategy: updating the national dataset","interactions":[],"lastModifiedDate":"2013-08-05T16:15:14","indexId":"70047430","displayToPublicDate":"2013-08-05T16:11:37","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The LANDFIRE Refresh strategy: updating the national dataset","docAbstract":"The LANDFIRE Program provides comprehensive vegetation and fuel datasets for the entire United States. As with many large-scale ecological datasets, vegetation and landscape conditions must be updated periodically to account for disturbances, growth, and natural succession. The LANDFIRE Refresh effort was the first attempt to consistently update these products nationwide. It incorporated a combination of specific systematic improvements to the original LANDFIRE National data, remote sensing based disturbance detection methods, field collected disturbance information, vegetation growth and succession modeling, and vegetation transition processes. This resulted in the creation of two complete datasets for all 50 states: LANDFIRE Refresh 2001, which includes the systematic improvements, and LANDFIRE Refresh 2008, which includes the disturbance and succession updates to the vegetation and fuel data. The new datasets are comparable for studying landscape changes in vegetation type and structure over a decadal period, and provide the most recent characterization of fuel conditions across the country. The applicability of the new layers is discussed and the effects of using the new fuel datasets are demonstrated through a fire behavior modeling exercise using the 2011 Wallow Fire in eastern Arizona as an example.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fire Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for Fire Ecology","doi":"10.4996/fireecology.0902080","usgsCitation":"Nelson, K., Connot, J.A., Peterson, B.E., and Martin, C., 2013, The LANDFIRE Refresh strategy: updating the national dataset: Fire Ecology, v. 9, no. 2, p. 80-101, https://doi.org/10.4996/fireecology.0902080.","productDescription":"22 p.","startPage":"80","endPage":"101","ipdsId":"IP-045102","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.0902080","text":"Publisher Index Page"},{"id":276080,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4996/fireecology.0902080"},{"id":276081,"type":{"id":15,"text":"Index Page"},"url":"https://fireecology.org/journal/abstract/?abstract=195"},{"id":276085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"5200bb5ae4b009d47a4c2349","contributors":{"authors":[{"text":"Nelson, Kurtis J. 0000-0003-4911-4511","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":105629,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis J.","affiliations":[],"preferred":false,"id":482023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connot, Joel A. 0000-0002-2556-3374 jconnot@usgs.gov","orcid":"https://orcid.org/0000-0002-2556-3374","contributorId":4436,"corporation":false,"usgs":true,"family":"Connot","given":"Joel","email":"jconnot@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Charley chmartin@usgs.gov","contributorId":4544,"corporation":false,"usgs":true,"family":"Martin","given":"Charley","email":"chmartin@usgs.gov","affiliations":[],"preferred":true,"id":482022,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039306,"text":"70039306 - 2013 - Regional demographic trends from long-term studies of saguaro (<i>Carnegiea gigantea</i>) across the northern Sonoran Desert","interactions":[],"lastModifiedDate":"2013-10-30T14:29:38","indexId":"70039306","displayToPublicDate":"2013-08-05T13:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Regional demographic trends from long-term studies of saguaro (<i>Carnegiea gigantea</i>) across the northern Sonoran Desert","docAbstract":"Ten saguaro (<i>Carnegiea gigantea</i>) populations in the northern Sonoran Desert were monitored from 1959 to 2005 to discriminate how climate influences plant growth, abundance, reproductive potential, survivorship, age structure and regeneration trends. Thousands of saguaros were measured to determine site-specific growth rates and survivorship through time. Observed growth rates were used to predict the ages of saguaros and reconstruct local and regional regeneration patterns back to the late 18th century. Both growth rates and degree of branching generally tracked temperature and moisture gradients. Site-specific age-height models explained 89-97% of variance in observed ages, with a slope of nearly one. Regeneration was more consistent at sites in the western (hotter/drier) than eastern (cooler/wetter) sites, which exhibited clear multidecadal variability in regeneration rates. Averaged across the region, saguaro regeneration rates were highest from 1780 to 1860, coincident with wet conditions and high <i>Pinus ponderosa</i> recruitment in the highlands. Milder and wetter winters and protection from livestock grazing likely promoted late 20th century regeneration surges at some sites. Predictions of saguaro population dynamics in the 21st century likely will be confounded by the saguaro's episodic and asynchronous regeneration, continued urbanization, ongoing grass invasions and associated wildfires, and changing climate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Arid Environments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2012.08.008","usgsCitation":"Pierson, E., Betancourt, J.L., and Turner, R., 2013, Regional demographic trends from long-term studies of saguaro (<i>Carnegiea gigantea</i>) across the northern Sonoran Desert: Journal of Arid Environments, v. 88, p. 57-69, https://doi.org/10.1016/j.jaridenv.2012.08.008.","productDescription":"13 p.","startPage":"57","endPage":"69","numberOfPages":"13","ipdsId":"IP-039254","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":276051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276046,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jaridenv.2012.08.008"}],"country":"Mexico;United States","state":"Arizona","otherGeospatial":"Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.3347,27.3815 ], [ -114.3347,34.1164 ], [ -110.3687,34.1164 ], [ -110.3687,27.3815 ], [ -114.3347,27.3815 ] ] ] } } ] }","volume":"88","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200bb58e4b009d47a4c2335","contributors":{"authors":[{"text":"Pierson, Elizabeth A.","contributorId":48142,"corporation":false,"usgs":true,"family":"Pierson","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":466011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":466009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":466010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047382,"text":"70047382 - 2013 - Late Quaternary stream piracy and strath terrace formation along the Belle Fourche and lower Cheyenne Rivers, South Dakota and Wyoming","interactions":[],"lastModifiedDate":"2017-10-12T20:21:46","indexId":"70047382","displayToPublicDate":"2013-08-02T13:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary stream piracy and strath terrace formation along the Belle Fourche and lower Cheyenne Rivers, South Dakota and Wyoming","docAbstract":"Stream piracy substantially affected the geomorphic evolution of the Missouri River watershed and drainages within, including the Little Missouri, Cheyenne, Belle Fourche, Bad, and White Rivers. The ancestral Cheyenne River eroded headward in an annular pattern around the eastern and southern Black Hills and pirated the headwaters of the ancestral Bad and White Rivers after ~ 660 ka. The headwaters of the ancestral Little Missouri River were pirated by the ancestral Belle Fourche River, a tributary to the Cheyenne River that currently drains much of the northern Black Hills. Optically stimulated luminescence (OSL) dating techniques were used to estimate the timing of this piracy event at ~ 22–21 ka. The geomorphic evolution of the Cheyenne and Belle Fourche Rivers is also expressed by regionally recognized strath terraces that include (from oldest to youngest) the Sturgis, Bear Butte, and Farmingdale terraces. Radiocarbon and OSL dates from fluvial deposits on these terraces indicate incision to the level of the Bear Butte terrace by ~ 63 ka, incision to the level of the Farmingdale terrace at ~ 40 ka, and incision to the level of the modern channel after ~ 12–9 ka. Similar dates of terrace incision have been reported for the Laramie and Wind River Ranges. Hypothesized causes of incision are the onset of colder climate during the middle Wisconsinan and the transition to the full-glacial climate of the late-Wisconsinan/Pinedale glaciation. Incision during the Holocene of the lower Cheyenne River is as much as ~ 80 m and is 3 to 4 times the magnitude of incision at ~ 63 ka and ~ 40 ka. The magnitude of incision during the Holocene might be due to a combined effect of three geomorphic processes acting in concert: glacial isostatic rebound in lower reaches (~ 40 m), a change from glacial to interglacial climate, and adjustments to increased watershed area resulting from piracy of the ancestral headwaters of the Little Missouri River.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2013.03.028","usgsCitation":"Stamm, J., Hendricks, R.R., Sawyer, J.F., Mahan, S., Zaprowski, B.J., Geibel, N.M., and Azzolini, D.C., 2013, Late Quaternary stream piracy and strath terrace formation along the Belle Fourche and lower Cheyenne Rivers, South Dakota and Wyoming: Geomorphology, v. 197, p. 10-20, https://doi.org/10.1016/j.geomorph.2013.03.028.","productDescription":"11 p.","startPage":"10","endPage":"20","ipdsId":"IP-029796","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":275956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Nebraska, North Dakota, South Dakota, Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.76,40.99 ], [ -108.76,46.45 ], [ -99.07,46.45 ], [ -99.07,40.99 ], [ -108.76,40.99 ] ] ] } } ] }","volume":"197","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fcc6d5e4b0296e5a4b5bec","chorus":{"doi":"10.1016/j.geomorph.2013.03.028","url":"http://dx.doi.org/10.1016/j.geomorph.2013.03.028","publisher":"Elsevier BV","authors":"Stamm John F., Hendricks Robert R., Sawyer J. Foster, Mahan Shannon A., Zaprowski Brent J., Geibel Nicholas M., Azzolini David C.","journalName":"Geomorphology","publicationDate":"9/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendricks, Robert R.","contributorId":19070,"corporation":false,"usgs":true,"family":"Hendricks","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sawyer, J. Foster","contributorId":80344,"corporation":false,"usgs":true,"family":"Sawyer","given":"J.","email":"","middleInitial":"Foster","affiliations":[],"preferred":false,"id":481901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":481895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zaprowski, Brent J.","contributorId":6362,"corporation":false,"usgs":true,"family":"Zaprowski","given":"Brent","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geibel, Nicholas M.","contributorId":14721,"corporation":false,"usgs":true,"family":"Geibel","given":"Nicholas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481898,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Azzolini, David C.","contributorId":62915,"corporation":false,"usgs":true,"family":"Azzolini","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481900,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047370,"text":"sir20135146 - 2013 - Potential effects of deepening the St. Johns River navigation channel on saltwater intrusion in the surficial aquifer system, Jacksonville, Florida","interactions":[],"lastModifiedDate":"2013-08-02T10:34:14","indexId":"sir20135146","displayToPublicDate":"2013-08-02T10:16:00","publicationYear":"2013","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":"2013-5146","title":"Potential effects of deepening the St. Johns River navigation channel on saltwater intrusion in the surficial aquifer system, Jacksonville, Florida","docAbstract":"The U.S. Army Corps of Engineers (USACE) has proposed dredging a 13-mile reach of the St. Johns River navigation channel in Jacksonville, Florida, deepening it to depths between 50 and 54 feet below North American Vertical Datum of 1988. The dredging operation will remove about 10 feet of sediments from the surficial aquifer system, including limestone in some locations. The limestone unit, which is in the lowermost part of the surficial aquifer system, supplies water to domestic wells in the Jacksonville area. Because of density-driven hydrodynamics of the St. Johns River, saline water from the Atlantic Ocean travels upstream as a saltwater “wedge” along the bottom of the channel, where the limestone is most likely to be exposed by the proposed dredging. A study was conducted to determine the potential effects of navigation channel deepening in the St. Johns River on salinity in the adjacent surficial aquifer system. Simulations were performed with each of four cross-sectional, variable-density groundwater-flow models, developed using SEAWAT, to simulate hypothetical changes in salinity in the surficial aquifer system as a result of dredging. The cross-sectional models were designed to incorporate a range of hydrogeologic conceptualizations to estimate the effect of uncertainty in hydrogeologic properties. The cross-sectional models developed in this study do not necessarily simulate actual projected conditions; instead, the models were used to examine the potential effects of deepening the navigation channel on saltwater intrusion in the surficial aquifer system under a range of plausible hypothetical conditions.\n<br>\n<br>\nSimulated results for modeled conditions indicate that dredging will have little to no effect on salinity variations in areas upstream of currently proposed dredging activities. Results also indicate little to no effect in any part of the surficial aquifer system along the cross section near River Mile 11 or in the water-table unit along the cross section near River Mile 8. Salinity increases of up to 4.0 parts per thousand (ppt) were indicated by the model incorporating hydrogeologic conceptualizations with both a semiconfining bed over the limestone unit and a preferential flow layer within the limestone along the cross section near River Mile 8. Simulated increases in salinity greater than 0.2 ppt in this area were generally limited to portions of the limestone unit within about 75 feet of the channel on the north side of the river.\n<br>\n<br>\nThe potential for saltwater to move from the river channel to the surficial aquifer system is limited, but may be present in areas where the head gradient from the aquifer to the river is small or negative and the salinity of the river is sufficient to induce density-driven advective flow into the aquifer. In some areas, simulated increases in salinity were exacerbated by the presence of laterally extensive semiconfining beds in combination with a high-conductivity preferential flow zone in the limestone unit of the surficial aquifer system and an upgradient source of saline water, such as beneath the salt marshes near Fanning Island. The volume of groundwater pumped in these areas is estimated to be low; therefore, saltwater intrusion will not substantially affect regional water supply, although users of the surficial aquifer system east of Dames Point along the northern shore of the river could be affected. Proposed dredging operations pose no risk to salinization of the Floridan aquifer system; in the study area, the intermediate confining unit ranges in thickness from more than 300 to about 500 feet and provides sufficient hydraulic separation between the surficial and Floridan aquifer systems.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135146","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Bellino, J.C., and Spechler, R.M., 2013, Potential effects of deepening the St. Johns River navigation channel on saltwater intrusion in the surficial aquifer system, Jacksonville, Florida: U.S. Geological Survey Scientific Investigations Report 2013-5146, viii, 34 p., https://doi.org/10.3133/sir20135146.","productDescription":"viii, 34 p.","numberOfPages":"46","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":275938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135146.jpg"},{"id":275936,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5146/"},{"id":275937,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5146/pdf/sir20135146.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"St. Johns River Navigation Channel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.68096,30.309025 ], [ -81.68096,30.453899 ], [ -81.378008,30.453899 ], [ -81.378008,30.309025 ], [ -81.68096,30.309025 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fcc6d6e4b0296e5a4b5bf0","contributors":{"authors":[{"text":"Bellino, Jason C. 0000-0001-9046-9344 jbellino@usgs.gov","orcid":"https://orcid.org/0000-0001-9046-9344","contributorId":3724,"corporation":false,"usgs":true,"family":"Bellino","given":"Jason","email":"jbellino@usgs.gov","middleInitial":"C.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":481856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spechler, Rick M. spechler@usgs.gov","contributorId":1364,"corporation":false,"usgs":true,"family":"Spechler","given":"Rick","email":"spechler@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":481855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047153,"text":"70047153 - 2013 - Refinement of late-Early and Middle Miocene diatom biostratigraphy for the east coast of the United States","interactions":[],"lastModifiedDate":"2013-11-18T11:05:31","indexId":"70047153","displayToPublicDate":"2013-08-01T16:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Refinement of late-Early and Middle Miocene diatom biostratigraphy for the east coast of the United States","docAbstract":"Integrated Ocean Drilling Program (IODP) Expedition 313 continuously cored Lower to Middle Miocene sequences at three continental shelf sites off New Jersey, USA. The most seaward of these, Site M29, contains a well-preserved Early and Middle Miocene succession of planktonic diatoms that have been independently correlated with the geomagnetic polarity time scale derived in studies from the equatorial and North Pacific. Shallow water diatoms (species of Delphineis, Rhaphoneis, and Sceptroneis) dominate in onshore sequences in Maryland and Virginia, forming the basis for the East Coast Diatom Zones (ECDZ). Integrated study of both planktonic and shallow water diatoms in Hole M29A as well as in onshore sequences in Maryland (the Baltimore Gas and Electric Company well) and Delaware (the Ocean Drilling Program Bethany Beach corehole) allows the refinement of ECDZ zones into a high-resolution biochronology that can be successfully applied in both onshore and offshore regions of the East Coast of the United States. Strontium isotope stratigraphy supports the diatom biochronology, although for much of the Middle Miocene it suggests ages that are on average 0.4 m.y. older. The ECDZ zonal definitions are updated to include evolutionary events of Delphineis species, and regional occurrences of important planktonic diatom marker taxa are included. Updated taxonomy, reference to published figures, and photographic images are provided that will aid in the application of this diatom biostratigraphy.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00864.1","usgsCitation":"Barron, J.A., Browning, J., Sugarman, P., and Miller, K.G., 2013, Refinement of late-Early and Middle Miocene diatom biostratigraphy for the east coast of the United States: Geosphere, v. 9, no. 5, p. 1286-1302, https://doi.org/10.1130/GES00864.1.","productDescription":"16 p.","startPage":"1286","endPage":"1302","ipdsId":"IP-049444","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00864.1","text":"Publisher Index Page"},{"id":279010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278573,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00864.1"}],"country":"United States","otherGeospatial":"East Coast","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.34,30.79 ], [ -82.34,45.13 ], [ -66.17,45.13 ], [ -66.17,30.79 ], [ -82.34,30.79 ] ] ] } } ] }","volume":"9","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52835c25e4b047efbbb4ae6f","contributors":{"authors":[{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":481178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Browning, James","contributorId":77033,"corporation":false,"usgs":true,"family":"Browning","given":"James","affiliations":[],"preferred":false,"id":481180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sugarman, Peter","contributorId":78638,"corporation":false,"usgs":true,"family":"Sugarman","given":"Peter","affiliations":[],"preferred":false,"id":481181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Kenneth G.","contributorId":14260,"corporation":false,"usgs":true,"family":"Miller","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":481179,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048496,"text":"70048496 - 2013 - Eastern musk turtle (<i>Sternotherus odoratus</i>)","interactions":[],"lastModifiedDate":"2013-11-05T15:50:21","indexId":"70048496","displayToPublicDate":"2013-08-01T15:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Eastern musk turtle (<i>Sternotherus odoratus</i>)","docAbstract":"No abstract available.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Reptiles of Tennessee","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"University of Tennessee Press","publisherLocation":"Knoxville, TN","isbn":"9781572339491","usgsCitation":"Glorioso, B.M., 2013, Eastern musk turtle (<i>Sternotherus odoratus</i>), chap. <i>of</i> The Reptiles of Tennessee, p. 301-304.","productDescription":"4 p.","startPage":"301","endPage":"304","numberOfPages":"4","ipdsId":"IP-031210","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":278862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278231,"type":{"id":15,"text":"Index Page"},"url":"https://utpress.org/bookdetail-2/?jobno=T01651"}],"country":"United States","state":"Tennessee","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.3103,34.9829 ], [ -90.3103,36.678 ], [ -81.6469,36.678 ], [ -81.6469,34.9829 ], [ -90.3103,34.9829 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a2181e4b051792d019503","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484837,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70074779,"text":"70074779 - 2013 - Land-cover change in the conterminous United States from 1973 to 2000","interactions":[],"lastModifiedDate":"2017-04-06T16:09:10","indexId":"70074779","displayToPublicDate":"2013-08-01T13:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1841,"text":"Global Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Land-cover change in the conterminous United States from 1973 to 2000","docAbstract":"Land-cover change in the conterminous United States was quantified by interpreting change from satellite imagery for a sample stratified by 84 ecoregions. Gross and net changes between 11 land-cover classes were estimated for 5 dates of Landsat imagery (1973, 1980, 1986, 1992, and 2000). An estimated 673,000 km<sup>2</sup>(8.6%) of the United States’ land area experienced a change in land cover at least one time during the study period. Forest cover experienced the largest net decline of any class with 97,000 km2 lost between 1973 and 2000. The large decline in forest cover was prominent in the two regions with the highest percent of overall change, the Marine West Coast Forests (24.5% of the region experienced a change in at least one time period) and the Eastern Temperate Forests (11.4% of the region with at least one change). Agriculture declined by approximately 90,000 km<sup>2</sup> with the largest annual net loss of 12,000 km<sup>2</sup> yr<sup>−1</sup> occurring between 1986 and 1992. Developed area increased by 33% and with the rate of conversion to developed accelerating rate over time. The time interval with the highest annual rate of change of 47,000 km<sup>2</sup> yr<sup>−1</sup> (0.6% per year) was 1986–1992. This national synthesis documents a spatially and temporally dynamic era of land change between 1973 and 2000. These results quantify land change based on a nationally consistent monitoring protocol and contribute fundamental estimates critical to developing understanding of the causes and consequences of land change in the conterminous United States.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloenvcha.2013.03.006","usgsCitation":"Sleeter, B.M., Sohl, T.L., Loveland, T., Auch, R.F., Acevedo, W., Drummond, M.A., Sayler, K., and Stehman, S.V., 2013, Land-cover change in the conterminous United States from 1973 to 2000: Global Environmental Change, v. 23, no. 4, p. 733-748, https://doi.org/10.1016/j.gloenvcha.2013.03.006.","productDescription":"16 p.","startPage":"733","endPage":"748","numberOfPages":"16","temporalStart":"1973-01-01","temporalEnd":"2000-12-31","ipdsId":"IP-035634","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gloenvcha.2013.03.006","text":"Publisher Index Page"},{"id":282027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282026,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloenvcha.2013.03.006"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd63f3e4b0b290850ff23f","contributors":{"authors":[{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":489873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":489867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":3005,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":489871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":489868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":489869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":489872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":489870,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":489874,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047087,"text":"70047087 - 2013 - The variability of California summertime marine stratus: impacts on surface air temperatures","interactions":[],"lastModifiedDate":"2013-11-07T12:37:49","indexId":"70047087","displayToPublicDate":"2013-08-01T11:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"The variability of California summertime marine stratus: impacts on surface air temperatures","docAbstract":"This study investigates the variability of clouds, primarily marine stratus clouds, and how they are associated with surface temperature anomalies over California, especially along the coastal margin. We focus on the summer months of June to September when marine stratus are the dominant cloud type. Data used include satellite cloud reflectivity (cloud albedo) measurements, hourly surface observations of cloud cover and air temperature at coastal airports, and observed values of daily surface temperature at stations throughout California and Nevada. Much of the anomalous variability of summer clouds is organized over regional patterns that affect considerable portions of the coast, often extend hundreds of kilometers to the west and southwest over the North Pacific, and are bounded to the east by coastal mountains. The occurrence of marine stratus is positively correlated with both the strength and height of the thermal inversion that caps the marine boundary layer, with inversion base height being a key factor in determining their inland penetration. Cloud cover is strongly associated with surface temperature variations. In general, increased presence of cloud (higher cloud albedo) produces cooler daytime temperatures and warmer nighttime temperatures. Summer daytime temperature fluctuations associated with cloud cover variations typically exceed 1°C. The inversion-cloud albedo-temperature associations that occur at daily timescales are also found at seasonal timescales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research D: Atmospheres","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrd.50652","usgsCitation":"Iacobellis, S.F., and Cayan, D.R., 2013, The variability of California summertime marine stratus: impacts on surface air temperatures: Journal of Geophysical Research D: Atmospheres, v. 118, no. 16, p. 9105-9122, https://doi.org/10.1002/jgrd.50652.","productDescription":"18 p.","startPage":"9105","endPage":"9122","numberOfPages":"18","ipdsId":"IP-049292","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrd.50652","text":"Publisher Index Page"},{"id":278924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278923,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrd.50652"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"118","issue":"16","noUsgsAuthors":false,"publicationDate":"2013-08-20","publicationStatus":"PW","scienceBaseUri":"527cc496e4b0850ea050cece","contributors":{"authors":[{"text":"Iacobellis, Sam F.","contributorId":11502,"corporation":false,"usgs":true,"family":"Iacobellis","given":"Sam","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":481031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":481030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048423,"text":"70048423 - 2013 - Quantifying wetland–aquifer interactions in a humid subtropical climate region: An integrated approach","interactions":[],"lastModifiedDate":"2013-09-26T10:38:34","indexId":"70048423","displayToPublicDate":"2013-08-01T10:24:14","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying wetland–aquifer interactions in a humid subtropical climate region: An integrated approach","docAbstract":"Wetlands are widely recognized as sentinels of global climate change. Long-term monitoring data combined with process-based modeling has the potential to shed light on key processes and how they change over time. This paper reports the development and application of a simple water balance model based on long-term climate, soil, vegetation and hydrological dynamics to quantify groundwater–surface water (GW–SW) interactions at the Norman landfill research site in Oklahoma, USA. Our integrated approach involved model evaluation by means of the following independent measurements: (a) groundwater inflow calculation using stable isotopes of oxygen and hydrogen (<sup>16</sup>O, <sup>18</sup>O, <sup>1</sup>H, <sup>2</sup>H); (b) seepage flux measurements in the wetland hyporheic sediment; and (c) pan evaporation measurements on land and in the wetland. The integrated approach was useful for identifying the dominant hydrological processes at the site, including recharge and subsurface flows. Simulated recharge compared well with estimates obtained using isotope methods from previous studies and allowed us to identify specific annual signatures of this important process during the period of study (1997–2007). Similarly, observations of groundwater inflow and outflow rates to and from the wetland using seepage meters and isotope methods were found to be in good agreement with simulation results. Results indicate that subsurface flow components in the system are seasonal and readily respond to rainfall events. The wetland water balance is dominated by local groundwater inputs and regional groundwater flow contributes little to the overall water balance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.06.022","usgsCitation":"Mendoza-Sanchez, I., Phanikumar, M., Niu, J., Masoner, J.R., Cozzarelli, I.M., and McGuire, J., 2013, Quantifying wetland–aquifer interactions in a humid subtropical climate region: An integrated approach: Journal of Hydrology, v. 498, p. 237-253, https://doi.org/10.1016/j.jhydrol.2013.06.022.","productDescription":"17 p.","startPage":"237","endPage":"253","ipdsId":"IP-014582","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":278116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278115,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.06.022"}],"country":"United States","state":"Oklahoma","city":"Norman","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.55,35.14 ], [ -97.55,35.35 ], [ -97.18,35.35 ], [ -97.18,35.14 ], [ -97.55,35.14 ] ] ] } } ] }","volume":"498","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52455769e4b0b3d37307e1b4","contributors":{"authors":[{"text":"Mendoza-Sanchez, Itza","contributorId":20246,"corporation":false,"usgs":true,"family":"Mendoza-Sanchez","given":"Itza","email":"","affiliations":[],"preferred":false,"id":484612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phanikumar, Mantha S.","contributorId":17888,"corporation":false,"usgs":true,"family":"Phanikumar","given":"Mantha S.","affiliations":[],"preferred":false,"id":484611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niu, Jie","contributorId":30535,"corporation":false,"usgs":true,"family":"Niu","given":"Jie","affiliations":[],"preferred":false,"id":484613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, Jennifer T.","contributorId":53979,"corporation":false,"usgs":true,"family":"McGuire","given":"Jennifer T.","affiliations":[],"preferred":false,"id":484614,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048420,"text":"70048420 - 2013 - Geologic effects on groundwater salinity and discharge into an estuary","interactions":[],"lastModifiedDate":"2018-03-05T16:17:18","indexId":"70048420","displayToPublicDate":"2013-08-01T08:40:39","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic effects on groundwater salinity and discharge into an estuary","docAbstract":"<p><span>Submarine groundwater discharge (SGD) can be an important pathway for transport of nutrients and contaminants to estuaries. A better understanding of the geologic and hydrologic controls on these fluxes is critical for their estimation and management. We examined geologic features, porewater salinity, and SGD rates and patterns at an estuarine study site. Seismic data showed the existence of paleovalleys infilled with estuarine mud and peat that extend hundreds of meters offshore. A low-salinity groundwater plume beneath this low-permeability fill was mapped with continuous resistivity profiling. Extensive direct SGD measurements with seepage meters (</span><i>n</i><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>551) showed fresh groundwater discharge patterns that correlated well with shallow porewater salinity and the hydrogeophysical framework. Small-scale variability in fresh and saline discharge indicates influence of meter-scale geologic heterogeneity, while site-scale discharge patterns are evidence of the influence of the paleovalley feature. Beneath the paleovalley fill, fresh groundwater flows offshore and mixes with saltwater before discharging along paleovalley flanks. On the adjacent drowned interfluve where low-permeability fill is absent, fresh groundwater discharge is focused at the shoreline. Shallow saltwater exchange was greatest across sandy sediments and where fresh SGD was low. The geologic control of groundwater flowpaths and discharge salinity demonstrated in this work are likely to affect geochemical reactions and the chemical loads delivered by SGD to coastal surface waters. Because similar processes are likely to exist in other estuaries where drowned paleovalleys commonly cross modern shorelines, the existence and implications of complex hydrogeology are important considerations for studies of groundwater fluxes and related management decisions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.05.049","usgsCitation":"Russonielloa, C.J., Fernandeza, C., Bratton, J.F., Banaszakc, J.F., Krantzc, D.E., Andresd, S., Konikow, L.F., and Michaela, H.A., 2013, Geologic effects on groundwater salinity and discharge into an estuary: Journal of Hydrology, v. 498, p. 1-12, https://doi.org/10.1016/j.jhydrol.2013.05.049.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-044951","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Indian River Bay","volume":"498","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5246e918e4b035b7f35addd0","contributors":{"authors":[{"text":"Russonielloa, Christopher J.","contributorId":92963,"corporation":false,"usgs":true,"family":"Russonielloa","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandeza, Cristina","contributorId":94963,"corporation":false,"usgs":true,"family":"Fernandeza","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":484576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bratton, John F. 0000-0003-0376-4981 jbratton@usgs.gov","orcid":"https://orcid.org/0000-0003-0376-4981","contributorId":92757,"corporation":false,"usgs":true,"family":"Bratton","given":"John","email":"jbratton@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banaszakc, Joel F.","contributorId":102369,"corporation":false,"usgs":true,"family":"Banaszakc","given":"Joel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krantzc, David E.","contributorId":84259,"corporation":false,"usgs":true,"family":"Krantzc","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andresd, Scott","contributorId":97413,"corporation":false,"usgs":true,"family":"Andresd","given":"Scott","email":"","affiliations":[],"preferred":false,"id":484577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michaela, Holly A.","contributorId":57357,"corporation":false,"usgs":true,"family":"Michaela","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484572,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046700,"text":"cir1386 - 2013 - National assessment of geologic carbon dioxide storage resources: Results","interactions":[],"lastModifiedDate":"2026-04-29T17:06:50.063235","indexId":"cir1386","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1386","title":"National assessment of geologic carbon dioxide storage resources: Results","docAbstract":"In 2012, the U.S. Geological Survey (USGS) completed an assessment of the technically accessible storage resources (<i>TA<sub>SR</sub></i>) for carbon dioxide (CO<sub>2</sub>) in geologic formations underlying the onshore and State waters area of the United States. The formations assessed are at least 3,000 feet (914 meters) below the ground surface. The <i>TA<sub>SR</sub></i> is an estimate of the CO<sub>2</sub> storage resource that may be available for CO<sub>2</sub> injection and storage that is based on present-day geologic and hydrologic knowledge of the subsurface and current engineering practices. Individual storage assessment units (SAUs) for 36 basins were defined on the basis of geologic and hydrologic characteristics outlined in the assessment methodology of Brennan and others (2010, USGS Open-File Report 2010–1127) and the subsequent methodology modification and implementation documentation of Blondes, Brennan, and others (2013, USGS Open-File Report 2013–1055). The mean national <i>TA<sub>SR</sub></i> is approximately 3,000 metric gigatons (Gt). The estimate of the <i>TA<sub>SR</sub></i> includes buoyant trapping storage resources (<i>B<sub>SR</sub></i>), where CO<sub>2</sub> can be trapped in structural or stratigraphic closures, and residual trapping storage resources, where CO<sub>2</sub> can be held in place by capillary pore pressures in areas outside of buoyant traps. The mean total national <i>B<sub>SR</sub></i> is 44 Gt. The residual storage resource consists of three injectivity classes based on reservoir permeability: residual trapping class 1 storage resource (<i>R1<sub>SR</sub></i>) represents storage in rocks with permeability greater than 1 darcy (D); residual trapping class 2 storage resource (<i>R2<sub>SR</sub></i>) represents storage in rocks with moderate permeability, defined as permeability between 1 millidarcy (mD) and 1 D; and residual trapping class 3 storage resource (<i>R3<sub>SR</sub></i>) represents storage in rocks with low permeability, defined as permeability less than 1 mD. The mean national storage resources for rocks in residual trapping classes 1, 2, and 3 are 140 Gt, 2,700 Gt, and 130 Gt, respectively. The known recovery replacement storage resource (<i>KRR<sub>SR</sub></i>) is a conservative estimate that represents only the amount of CO<sub>2</sub> at subsurface conditions that could replace the volume of known hydrocarbon production. The mean national <i>KRR<sub>SR</sub></i>, determined from production volumes rather than the geologic model of buoyant and residual traps that make up <i>TA<sub>SR</sub></i>, is 13 Gt. The estimated storage resources are dominated by residual trapping class 2, which accounts for 89 percent of the total resources. The Coastal Plains Region of the United States contains the largest storage resource of any region. Within the Coastal Plains Region, the resources from the U.S. Gulf Coast area represent 59 percent of the national CO<sub>2</sub> storage capacity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1386","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: results (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Circular 1386, ix, 41 p., https://doi.org/10.3133/cir1386.","productDescription":"ix, 41 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":503645,"rank":4,"type":{"id":36,"text":"NGMDB Index 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Its data and results are reported in three publications: the assessment data publication (this report), the assessment results publication (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013a, USGS Circular 1386), and the assessment summary publication (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013b, USGS Fact Sheet 2013–3020). This data publication supports the results publication and contains (1) individual storage assessment unit (SAU) input data forms with all input parameters and details on the allocation of the SAU surface land area by State and general land-ownership category; (2) figures representing the distribution of all storage classes for each SAU; (3) a table containing most input data and assessment result values for each SAU; and (4) a pairwise correlation matrix specifying geological and methodological dependencies between SAUs that are needed for aggregation of results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds774","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: data (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Data Series 774, Report: viii, 13 p.; 2 Appendices; 2 Tables, https://doi.org/10.3133/ds774.","productDescription":"Report: viii, 13 p.; 2 Appendices; 2 Tables","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504563,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98592.htm","linkFileType":{"id":5,"text":"html"}},{"id":274233,"rank":7,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds774.gif"},{"id":274230,"rank":6,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/774/"},{"id":278266,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/774/pdf/DS774_508.pdf"},{"id":278269,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/774/tables/Table_1.xlsx"},{"id":278270,"rank":3,"type":{"id":7,"text":"Companion 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,{"id":70046701,"text":"fs20133020 - 2013 - National assessment of geologic carbon dioxide storage resources: Summary","interactions":[],"lastModifiedDate":"2026-06-08T13:20:39.966743","indexId":"fs20133020","displayToPublicDate":"2013-08-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3020","title":"National assessment of geologic carbon dioxide storage resources: Summary","docAbstract":"The U.S. Geological Survey (USGS) recently completed an evaluation of the technically accessible storage resource (<i>TA<sub>SR</sub></i>) for carbon dioxide (CO<sub>2</sub>) for 36 sedimentary basins in the onshore areas and State waters of the United States. The <i>TA<sub>SR</sub></i> is an estimate of the geologic storage resource that may be available for CO<sub>2</sub> injection and storage and is based on current geologic and hydrologic knowledge of the subsurface and current engineering practices. By using a geology-based probabilistic assessment methodology, the USGS assessment team members obtained a mean estimate of approximately 3,000 metric gigatons (Gt) of subsurface CO<sub>2</sub> storage capacity that is technically accessible below onshore areas and State waters; this amount is more than 500 times the 2011 annual U.S. energy-related CO<sub>2</sub> emissions of 5.5 Gt (U.S. Energy Information Administration, 2012, http://www.eia.gov/environment/emissions/carbon/).\n<br/>\nIn 2007, the Energy Independence and Security Act (Public Law 110–140) directed the U.S. Geological Survey to conduct a national assessment of geologic storage resources for CO<sub>2</sub> in consultation with the U.S. Environmental Protection Agency, the U.S. Department of Energy, and State geological surveys. The USGS developed a methodology to estimate storage resource potential in geologic formations in the United States (Burruss and others, 2009, USGS Open-File Report (OFR) 2009–1035; Brennan and others, 2010, USGS OFR 2010–1127; Blondes, Brennan, and others, 2013, USGS OFR 2013–1055). In 2012, the USGS completed the assessment, and the results are summarized in this Fact Sheet and are provided in more detail in companion reports (U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013a,b; see related reports at right).\n<br/>\nThe goal of this project was to conduct an initial assessment of storage capacity on a regional basis, and results are not intended for use in the evaluation of specific sites for potential CO<sub>2</sub> storage. The national assessment was a geology-based examination of all sedimentary basins in the onshore and State waters area of the United States that contain storage assessment units (SAUs) that could be defined according to geologic and hydrologic characteristics. Although geologic storage of CO<sub>2</sub> may be possible in some areas not assessed by the USGS, the SAUs identified in this assessment represent those areas within sedimentary basins that met the assessment criteria. A geologic description of each SAU was prepared; descriptions for SAUs in several basins are in Warwick and Corum (2012, USGS OFR 2012–1024).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133020","usgsCitation":"U.S. Geological Survey Geologic Carbon Dioxide Storage Resources Assessment Team, 2013, National assessment of geologic carbon dioxide storage resources: summary (Version 1: Originally posted June 2013; Version 1.1: September 2013): U.S. Geological Survey Fact Sheet 2013-3020, 6 p., https://doi.org/10.3133/fs20133020.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274231,"rank":2,"type":{"id":15,"text":"Index 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,{"id":70046371,"text":"70046371 - 2013 - Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","interactions":[],"lastModifiedDate":"2018-06-16T17:48:39","indexId":"70046371","displayToPublicDate":"2013-07-31T21:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging","docAbstract":"During Arctic summers, sea ice provides resting habitat for Pacific walruses as it drifts over foraging areas in the eastern Chukchi Sea. Climate-driven reductions in sea ice have recently created ice-free conditions in the Chukchi Sea by late summer causing walruses to rest at coastal haulouts along the Chukotka and Alaska coasts, which provides an opportunity to study walruses at relatively accessible locations. Walrus age can be determined from the ratio of tusk length to snout dimensions. We evaluated use of images obtained from a gyro-stabilized video system mounted on a helicopter flying at high altitudes (to avoid disturbance) to classify the sex and age of walruses hauled out on Alaska beaches in 2010–2011. We were able to classify 95% of randomly selected individuals to either an 8- or 3-category age class, and we found measurement-based age classifications were more repeatable than visual classifications when using images presenting the correct head profile. Herd density at coastal haulouts averaged 0.88 walruses/m<sup>2</sup> (std. err. = 0.02), herd size ranged from 8,300 to 19,400 (CV 0.03–0.06) and we documented ~30,000 animals along ~1 km of beach in 2011. Within the herds, dependent walruses (0–2 yr-olds) tended to be located closer to water, and this tendency became more pronounced as the herd spent more time on the beach. Therefore, unbiased estimation of herd age-ratios will require a sampling design that allows for spatial and temporal structuring. In addition, randomly sampling walruses available at the edge of the herd for other purposes (e.g., tagging, biopsying) will not sample walruses with an age structure representative of the herd. Sea ice losses are projected to continue, and population age structure data collected with aerial videography at coastal haulouts may provide demographic information vital to ongoing efforts to understand effects of climate change on this species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0069806","usgsCitation":"Monson, D., Udevitz, M.S., and Jay, C.V., 2013, Estimating age ratios and size of Pacific walrus herds on coastal haulouts using video imaging: PLoS ONE, v. 8, no. 7, https://doi.org/10.1371/journal.pone.0069806.","ipdsId":"IP-045689","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069806","text":"Publisher Index Page"},{"id":277155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277133,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069806"}],"country":"United States","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"52206d61e4b0645fc25e8c2d","contributors":{"authors":[{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":479564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":479563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047326,"text":"fs20133055 - 2013 - Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","interactions":[],"lastModifiedDate":"2024-03-04T18:00:14.444595","indexId":"fs20133055","displayToPublicDate":"2013-07-31T15:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3055","title":"Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries","docAbstract":"Yellow perch live in creeks, rivers, ponds, lakes, and estuaries across the central and eastern United States and Canada. In Chesapeake Bay, they tolerate salinities up to one-third that of seawater. The adults reside in the brackish waters of the bay’s tributaries and migrate upstream to spawn. Yellow perch are eagerly sought by recreational fishermen for their excellent taste and, because their late winter spawning runs are the earliest of the year, they are regarded as a harbinger of spring. Yellow perch also support a small but valuable, tightly regulated commercial fishery in the part of Chesapeake Bay that lies in Maryland.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133055","usgsCitation":"Blazer, V., Pinkney, A., and Uphoff, J.H., 2013, Reproductive health of yellow perch, Perca flavescens, in Chesapeake Bay Tributaries: U.S. Geological Survey Fact Sheet 2013-3055, 2 p., https://doi.org/10.3133/fs20133055.","productDescription":"2 p.","numberOfPages":"2","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275652,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133055.jpg"},{"id":275651,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3055/pdf/fs2013-3055.pdf"},{"id":275650,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3055/"}],"country":"United States","state":"Maryl","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6224,37.3195 ], [ -77.6224,39.7196 ], [ -74.7564,39.7196 ], [ -74.7564,37.3195 ], [ -77.6224,37.3195 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c80e4b076c3a8d82627","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":481713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, A.E.","contributorId":87501,"corporation":false,"usgs":true,"family":"Pinkney","given":"A.E.","affiliations":[],"preferred":false,"id":481715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uphoff, James H.","contributorId":74656,"corporation":false,"usgs":true,"family":"Uphoff","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481714,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047311,"text":"sir20135072 - 2013 - Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","interactions":[],"lastModifiedDate":"2013-07-31T09:00:08","indexId":"sir20135072","displayToPublicDate":"2013-07-31T08:37:00","publicationYear":"2013","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":"2013-5072","title":"Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008","docAbstract":"Groundwater quality and aquifer lithologies in the Piedmont and Blue Ridge Physiographic Provinces in the eastern United States vary widely as a result of complex geologic history. Bedrock composition (mineralogy) and geochemical conditions in the aquifer directly affect the occurrence (presence in rock and groundwater) and distribution (concentration and mobility) of potential naturally occurring contaminants, such as arsenic and radionuclides, in drinking water. To evaluate potential relations between aquifer lithology and the spatial distribution of naturally occurring contaminants, the crystalline-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces and the siliciclastic-rock aquifers of the Early Mesozoic basin of the Piedmont Physiographic Province were divided into 14 lithologic groups, each having from 1 to 16 lithochemical subgroups, based on primary rock type, mineralogy, and weathering potential. Groundwater-quality data collected by the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program from 1994 through 2008 from 346 wells and springs in various hydrogeologic and land-use settings from Georgia through New Jersey were compiled and analyzed for this study. Analyses for most constituents were for filtered samples, and, thus, the compiled data consist largely of dissolved concentrations. Concentrations were compared to criteria for protection of human health, such as U.S. Environmental Protection Agency (USEPA) drinking water maximum contaminant levels and secondary maximum contaminant levels or health-based screening levels developed by the USGS NAWQA Program in cooperation with the USEPA, the New Jersey Department of Environmental Protection, and Oregon Health & Science University. Correlations among constituent concentrations, pH, and oxidation-reduction (redox) conditions were used to infer geochemical controls on constituent mobility within the aquifers.\n\nOf the 23 trace-element constituents evaluated, arsenic, manganese, and zinc were detected in one or more water samples at concentrations greater than established human health-based criteria. Arsenic concentrations typically were less than 1 microgram per liter (µg/L) in most groundwater samples; however, concentrations of arsenic greater than 1 µg/L frequently were detected in groundwater from clastic lacustrine sedimentary rocks of the Early Mesozoic basin aquifers and from metamorphosed clastic sedimentary rocks of the Piedmont and Blue Ridge crystalline rock aquifers. Groundwater from these rock units had elevated pH compared to other rock units evaluated in this study. Of the nine samples for which arsenic concentration was greater than 10 µg/L, six were classified as oxic and three as anoxic, and seven had pH of 7.2 or greater. Manganese concentrations typically were less than 10 µg/L in most samples; however, 8.3 percent of samples from the Piedmont and Blue Ridge crystalline-rock aquifers and 3.0 percent of samples from the Early Mesozoic basin siliciclastic rock aquifers had manganese concentrations greater than the 300-µg/L health-based screening level. The positive correlation of manganese with iron and ammonia and the negative correlation of manganese with dissolved oxygen and nitrate are consistent with the reductive dissolution of manganese oxides in the aquifer. Zinc concentrations typically were less than 10 µg/L in the groundwater samples considered in the study, but 0.4 percent and 5.5 percent of the samples had concentrations greater than the health-based screening level of 2,000 µg/L and one-tenth of the health-based screening level, respectively. The mean rank concentration of zinc in groundwater from the quartz-rich sedimentary rock lithologic group was greater than that for other lithologic groups even after eliminating samples collected from wells constructed with galvanized casing.\n\nApproximately 90 percent of 275 groundwater samples had radon-222 concentrations that were greater than the proposed alternative maximum contaminant level of 300 picocuries per liter. In contrast, only 2.0 percent of 98 samples had combined radium (radium-226 plus radium-228) concentrations greater than the maximum contaminant level of 5.0 picocuries per liter, and 0.6 percent of 310 samples had uranium concentrations greater than the maximum contaminant level of 30 µg/L. Radon concentrations were highest in the Piedmont and Blue Ridge crystalline-rock aquifers, especially in granite, and elevated median concentrations were noted in the Piedmont Early Mesozoic basin aquifers, but without the extreme maximum concentrations found in the crystalline rocks (granites). Although the siliciclastic lithologies had a greater frequency of elevated uranium concentrations, radon and radium were commonly detected in water from both siliciclastic and crystalline lithologies. Uranium concentrations in groundwater from clastic sedimentary and clastic lacustrine/evaporite sedimentary lithologic groups within the Early Mesozoic basin aquifers, which had median concentrations of 3.6 and 3.1 µg/L, respectively, generally were higher than concentrations for other siliciclastic lithologic groups, which had median concentrations less than 1 µg/L. Although 89 percent of the 260 samples from crystalline-rock aquifers had uranium concentrations less than 1 µg/L, 0.8 percent had uranium concentrations greater than the 30-µg/L maximum contaminant level, and 6.5 percent had concentrations greater than 3 µg/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135072","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Chapman, M.J., Cravotta, C.A., Szabo, Z., and Lindsay, B.D., 2013, Naturally occurring contaminants in the Piedmont and Blue Ridge crystalline-rock aquifers and Piedmont Early Mesozoic basin siliciclastic-rock aquifers, eastern United States, 1994–2008: U.S. Geological Survey Scientific Investigations Report 2013-5072, xi, 74 p.; Tables, https://doi.org/10.3133/sir20135072.","productDescription":"xi, 74 p.; Tables","numberOfPages":"90","onlineOnly":"Y","temporalStart":"1994-01-01","temporalEnd":"2008-01-01","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":275610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135072.bmp"},{"id":275608,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5072/"},{"id":275609,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5072/pdf/sir2013-5072.pdf"},{"id":275607,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5072/table/Chapman_PIED6_Tables.xlsx"}],"country":"United States","state":"Alabama;Delaware;Georgia;Maryl;New Jersey;North Carolina;Pennsylvania;Virginia;West Virginia","otherGeospatial":"Piedmont And Blue Ridge Physiographic Provinces","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0,32.0 ], [ -86.0,44.0 ], [ -70.0,44.0 ], [ -70.0,32.0 ], [ -86.0,32.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa2c7fe4b076c3a8d8261b","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":481691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":481693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsay, Bruce D.","contributorId":102360,"corporation":false,"usgs":true,"family":"Lindsay","given":"Bruce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":481694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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