{"pageNumber":"1498","pageRowStart":"37425","pageSize":"25","recordCount":184617,"records":[{"id":70099765,"text":"70099765 - 2013 - Peat","interactions":[],"lastModifiedDate":"2014-03-26T10:46:45","indexId":"70099765","displayToPublicDate":"2013-07-01T10:43:36","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Peat","docAbstract":"The article looks at the U.S. peat market as of July 2013. Peat is produced from deposits of plant organic materials in wetlands and includes varieties such as reed-sedge, sphagnum moss, and humus. Use for peat include horticultural soil additives, filtration, and adsorbents. Other topics include effects of environmental protection regulations on peat extraction, competition from products such as coir, composted organic waste, and wood products, and peatland carbon sinks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Mining, Metallurgy, and Exploration (SME)","usgsCitation":"Apodaca, L.E., 2013, Peat: Mining Engineering, v. 65, no. 7, p. 89-89.","productDescription":"1 p.","startPage":"89","endPage":"89","ipdsId":"IP-055813","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":284944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"65","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535594e8e4b0120853e8c0ce","contributors":{"authors":[{"text":"Apodaca, Lori E. lapodaca@usgs.gov","contributorId":1844,"corporation":false,"usgs":true,"family":"Apodaca","given":"Lori","email":"lapodaca@usgs.gov","middleInitial":"E.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":492016,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70056384,"text":"70056384 - 2013 - Seismicity around Parkfield correlates with static shear stress changes following the 2003 <i>M<sub>w</sub></i>6.5 San Simeon earthquake","interactions":[],"lastModifiedDate":"2013-11-21T10:33:53","indexId":"70056384","displayToPublicDate":"2013-07-01T10:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismicity around Parkfield correlates with static shear stress changes following the 2003 <i>M<sub>w</sub></i>6.5 San Simeon earthquake","docAbstract":"Earthquakes trigger other earthquakes, but the physical mechanism of the triggering is currently debated. Most studies of earthquake triggering rely on earthquakes listed in catalogs, which are known to be incomplete around the origin times of large earthquakes and therefore missing potentially triggered events. Here we apply a waveform matched-filter technique to systematically detect earthquakes along the Parkfield section of the San Andreas Fault from 46 days before to 31 days after the nearby 2003 <i>M<sub>w</sub></i>6.5 San Simeon earthquake. After removing all possible false detections, we identify ~8 times more earthquakes than in the Northern California Seismic Network catalog. The newly identified events along the creeping section of the San Andreas Fault show a statistically significant decrease following the San Simeon main shock, which correlates well with the negative static stress changes (i.e., stress shadow) cast by the main shock. In comparison, the seismicity rate around Parkfield increased moderately where the static stress changes are positive. The seismicity rate changes correlate well with the static shear stress changes induced by the San Simeon main shock, suggesting a low friction in the seismogenic zone along the Parkfield section of the San Andreas Fault.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrb.50271","usgsCitation":"Meng, X., Peng, Z., and Hardebeck, J.L., 2013, Seismicity around Parkfield correlates with static shear stress changes following the 2003 <i>M<sub>w</sub></i>6.5 San Simeon earthquake: Journal of Geophysical Research B: Solid Earth, v. 118, no. 7, p. 3576-3591, https://doi.org/10.1002/jgrb.50271.","productDescription":"16 p.","startPage":"3576","endPage":"3591","numberOfPages":"16","ipdsId":"IP-045507","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":279316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279207,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50271"}],"country":"United States","state":"California","otherGeospatial":"Parkfield","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,35.0 ], [ -122.0,36.5 ], [ -120.0,36.5 ], [ -120.0,35.0 ], [ -122.0,35.0 ] ] ] } } ] }","volume":"118","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-24","publicationStatus":"PW","scienceBaseUri":"528f5411e4b0660d392beec7","contributors":{"authors":[{"text":"Meng, Xiaoteng","contributorId":26611,"corporation":false,"usgs":true,"family":"Meng","given":"Xiaoteng","email":"","affiliations":[],"preferred":false,"id":486552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peng, Zhigang","contributorId":69432,"corporation":false,"usgs":true,"family":"Peng","given":"Zhigang","affiliations":[],"preferred":false,"id":486553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":486551,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099685,"text":"70099685 - 2013 - Holocene tectonics and fault reactivation in the foothills of the north Cascade Mountains, Washington","interactions":[],"lastModifiedDate":"2014-03-26T10:28:45","indexId":"70099685","displayToPublicDate":"2013-07-01T10:24:00","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":"Holocene tectonics and fault reactivation in the foothills of the north Cascade Mountains, Washington","docAbstract":"We use LiDAR imagery to identify two fault scarps on latest Pleistocene glacial outwash deposits along the North Fork Nooksack River in Whatcom County, Washington (United States). Mapping and paleoseismic investigation of these previously unknown scarps provide constraints on the earthquake history and seismic hazard in the northern Puget Lowland. The Kendall scarp lies along the mapped trace of the Boulder Creek fault, a south-dipping Tertiary normal fault, and the Canyon Creek scarp lies in close proximity to the south-dipping Canyon Creek fault and the south-dipping Glacier Extensional fault. Both scarps are south-side-up, opposite the sense of displacement observed on the nearby bedrock faults. Trenches excavated across these scarps exposed folded and faulted late Quaternary glacial outwash, locally dated between ca. 12 and 13 ka, and Holocene buried soils and scarp colluvium. Reverse and oblique faulting of the soils and colluvial deposits indicates at least two late Holocene earthquakes, while folding of the glacial outwash prior to formation of the post-glacial soil suggests an earlier Holocene earthquake. Abrupt changes in bed thickness across faults in the Canyon Creek excavation suggest a lateral component of slip. Sediments in a wetland adjacent to the Kendall scarp record three pond-forming episodes during the Holocene—we infer that surface ruptures on the Boulder Creek fault during past earthquakes temporarily blocked the stream channel and created an ephemeral lake. The Boulder Creek and Canyon Creek faults formed in the early to mid-Tertiary as normal faults and likely lay dormant until reactivated as reverse faults in a new stress regime. The most recent earthquakes—each likely M<sub>w</sub> > 6.3 and dating to ca. 8050–7250 calendar years B.P. (cal yr B.P.), 3190–2980 cal. yr B.P., and 910–740 cal. yr B.P.—demonstrate that reverse faulting in the northern Puget Lowland poses a hazard to urban areas between Seattle (Washington) and Vancouver, British Columbia (Canada).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00880.1","usgsCitation":"Sherrod, B.L., Barnett, E., Schermer, E., Kelsey, H.M., Hughes, J., Foit, F.F., Weaver, C.S., Haugerud, R., and Hyatt, T., 2013, Holocene tectonics and fault reactivation in the foothills of the north Cascade Mountains, Washington: Geosphere, v. 9, no. 4, p. 827-852, https://doi.org/10.1130/GES00880.1.","productDescription":"26 p.","startPage":"827","endPage":"852","numberOfPages":"26","ipdsId":"IP-041942","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00880.1","text":"Publisher Index Page"},{"id":284943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284942,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00880.1"}],"country":"United States","state":"Washington","county":"Whatcom County","otherGeospatial":"Cascade Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0907,48.627 ], [ -123.0907,49.0024 ], [ -120.6547,49.0024 ], [ -120.6547,48.627 ], [ -123.0907,48.627 ] ] ] } } ] }","volume":"9","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53559474e4b0120853e8bffd","contributors":{"authors":[{"text":"Sherrod, Brian L.","contributorId":16874,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":492003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnett, Elizabeth eli@usgs.gov","contributorId":2156,"corporation":false,"usgs":true,"family":"Barnett","given":"Elizabeth","email":"eli@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":492001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schermer, Elizabeth","contributorId":67002,"corporation":false,"usgs":true,"family":"Schermer","given":"Elizabeth","affiliations":[],"preferred":false,"id":492006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelsey, Harvey M.","contributorId":101713,"corporation":false,"usgs":true,"family":"Kelsey","given":"Harvey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Jonathan","contributorId":29732,"corporation":false,"usgs":true,"family":"Hughes","given":"Jonathan","affiliations":[],"preferred":false,"id":492004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foit, Franklin F. Jr.","contributorId":78624,"corporation":false,"usgs":true,"family":"Foit","given":"Franklin","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":492007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":492002,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haugerud, Ralph","contributorId":88402,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","affiliations":[],"preferred":false,"id":492008,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hyatt, Tim","contributorId":54507,"corporation":false,"usgs":true,"family":"Hyatt","given":"Tim","email":"","affiliations":[],"preferred":false,"id":492005,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70044591,"text":"70044591 - 2013 - Cost-effectiveness analysis of sandhill crane habitat management","interactions":[],"lastModifiedDate":"2014-01-15T10:24:33","indexId":"70044591","displayToPublicDate":"2013-07-01T10:13:59","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Cost-effectiveness analysis of sandhill crane habitat management","docAbstract":"Invasive species often threaten native wildlife populations and strain the budgets of agencies charged with wildlife management. We demonstrate the potential of cost-effectiveness analysis to improve the efficiency and value of efforts to enhance sandhill crane (<i>Grus canadensis</i>) roosting habitat. We focus on the central Platte River in Nebraska (USA), a region of international ecological importance for migrating avian species including sandhill cranes. Cost-effectiveness analysis is a valuation process designed to compare alternative actions based on the cost of achieving a pre-determined objective. We estimated costs for removal of invasive vegetation using geographic information system simulations and calculated benefits as the increase in area of sandhill crane roosting habitat. We generated cost effectiveness values for removing invasive vegetation on 7 land parcels and for the entire central Platte River to compare the cost-effectiveness of management at specific sites and for the central Platte River landscape. Median cost effectiveness values for the 7 land parcels evaluated suggest that costs for creating 1 additional hectare of sandhill crane roosting habitat totaled US $1,595. By contrast, we found that creating an additional hectare of sandhill crane roosting habitat could cost as much as US $12,010 for some areas in the central Platte River, indicating substantial cost savings can be achieved by using a cost effectiveness analysis to target specific land parcels for management. Cost-effectiveness analysis, used in conjunction with geographic information systems, can provide decision-makers with a new tool for identifying the most economically efficient allocation of resources to achieve habitat management goals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.587","usgsCitation":"Kessler, A.C., Merchant, J.W., Shultz, S.D., and Allen, C.R., 2013, Cost-effectiveness analysis of sandhill crane habitat management: Journal of Wildlife Management, v. 77, no. 7, p. 1301-1310, https://doi.org/10.1002/jwmg.587.","productDescription":"10 p.","startPage":"1301","endPage":"1310","numberOfPages":"10","ipdsId":"IP-044149","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":281072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281071,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.587"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101.9586,40.0024 ], [ -101.9586,41.7631 ], [ -97.0477,41.7631 ], [ -97.0477,40.0024 ], [ -101.9586,40.0024 ] ] ] } } ] }","volume":"77","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5361e4b0b290850f51b5","contributors":{"authors":[{"text":"Kessler, Andrew C.","contributorId":13084,"corporation":false,"usgs":true,"family":"Kessler","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":475930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merchant, James W.","contributorId":7858,"corporation":false,"usgs":false,"family":"Merchant","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":475929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shultz, Steven D.","contributorId":98162,"corporation":false,"usgs":true,"family":"Shultz","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":475928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70106072,"text":"70106072 - 2013 - Biological nitrogen fixation: rates, patterns and ecological controls in terrestrial ecosystems","interactions":[],"lastModifiedDate":"2014-05-27T10:09:59","indexId":"70106072","displayToPublicDate":"2013-07-01T10:03:23","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Biological nitrogen fixation: rates, patterns and ecological controls in terrestrial ecosystems","docAbstract":"New techniques have identified a wide range of organisms with the capacity to carry out biological nitrogen fixation (BNF)—greatly expanding our appreciation of the diversity and ubiquity of N fixers—but our understanding of the rates and controls of BNF at ecosystem and global scales has not advanced at the same pace. Nevertheless, determining rates and controls of BNF is crucial to placing anthropogenic changes to the N cycle in context, and to understanding, predicting and managing many aspects of global environmental change. Here, we estimate terrestrial BNF for a pre-industrial world by combining information on N fluxes with <sup>15</sup>N relative abundance data for terrestrial ecosystems. Our estimate is that pre-industrial N fixation was 58 (range of 40–100) Tg N fixed yr<sup>−1</sup>; adding conservative assumptions for geological N reduces our best estimate to 44 Tg N yr<sup>−1</sup>. This approach yields substantially lower estimates than most recent calculations; it suggests that the magnitude of human alternation of the N cycle is substantially larger than has been assumed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Philosophical Transactions of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2013.0119","usgsCitation":"Vitousek, P.M., Menge, D.N., Reed, S.C., and Cleveland, C.C., 2013, Biological nitrogen fixation: rates, patterns and ecological controls in terrestrial ecosystems: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 368, no. 1621, 9 p., https://doi.org/10.1098/rstb.2013.0119.","productDescription":"9 p.","numberOfPages":"9","ipdsId":"IP-036742","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473715,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rstb.2013.0119","text":"External Repository"},{"id":287583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287276,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rstb.2013.0119"}],"volume":"368","issue":"1621","noUsgsAuthors":false,"publicationDate":"2013-07-05","publicationStatus":"PW","scienceBaseUri":"5385b3e9e4b09e18fc023a26","contributors":{"authors":[{"text":"Vitousek, Peter M.","contributorId":108401,"corporation":false,"usgs":true,"family":"Vitousek","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Menge, Duncan N.L.","contributorId":23446,"corporation":false,"usgs":true,"family":"Menge","given":"Duncan","email":"","middleInitial":"N.L.","affiliations":[],"preferred":false,"id":493818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":493816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":493817,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048419,"text":"70048419 - 2013 - Movements and habitat-use of loggerhead sea turtles in the northern Gulf of Mexico during the reproductive period","interactions":[],"lastModifiedDate":"2017-06-09T15:49:29","indexId":"70048419","displayToPublicDate":"2013-07-01T09:58:00","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":"Movements and habitat-use of loggerhead sea turtles in the northern Gulf of Mexico during the reproductive period","docAbstract":"Nesting strategies and use of important in-water habitats for far-ranging marine turtles can be determined using satellite telemetry. Because of a lack of information on habitat-use by marine turtles in the northern Gulf of Mexico, we used satellite transmitters in 2010 through 2012 to track movements of 39 adult female breeding loggerhead turtles (Caretta caretta) tagged on nesting beaches at three sites in Florida and Alabama. During the nesting season, recaptured turtles emerged to nest 1 to 5 times, with mean distance between emergences of 27.5 km; however, several turtles nested on beaches separated by ~250 km within a single season. Mean total distances traveled throughout inter-nesting periods for all turtles was 1422.0±930.8 km. In-water inter-nesting sites, delineated using 50% kernel density estimation (KDE), were located a mean distance of 33.0 km from land, in water with mean depth of −31.6 m; other in-water inter-nesting sites, delineated using minimum convex polygon (MCP) approach, were located a mean 13.8 km from land and in water with a mean depth of −15.8 m. Mean size of in-water inter-nesting habitats were 61.9 km<sup>2</sup> (50% KDEs, n = 10) and 741.4 km<sup>2</sup> (MCPs, n = 30); these areas overlapped significantly with trawling and oil and gas extraction activities. Abundance estimates for this nesting subpopulation may be inaccurate in light of how much spread there is between nests of the same individual. Further, our results also have consequences for critical habitat designations for northern Gulf loggerheads, as protection of one nesting beach would not encompass the entire range used by turtles during breeding seasons.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0066921","usgsCitation":"Hart, K.M., Lamont, M.M., Sartain-Iverson, A.R., Fujisaki, I., and Stephens, B.S., 2013, Movements and habitat-use of loggerhead sea turtles in the northern Gulf of Mexico during the reproductive period: PLoS ONE, v. 8, no. 7, e66921; 15 p., https://doi.org/10.1371/journal.pone.0066921.","productDescription":"e66921; 15 p.","numberOfPages":"15","ipdsId":"IP-044192","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0066921","text":"Publisher Index Page"},{"id":278185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278184,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0066921"}],"country":"United States","state":"Alabama, Florida","otherGeospatial":"Gulf of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,26.0 ], [ -90.0,32.0 ], [ -82.0,32.0 ], [ -82.0,26.0 ], [ -90.0,26.0 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"5246e91ae4b035b7f35adddc","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sartain-Iverson, Autumn R. 0000-0002-8353-6745 asartain@usgs.gov","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":5477,"corporation":false,"usgs":true,"family":"Sartain-Iverson","given":"Autumn","email":"asartain@usgs.gov","middleInitial":"R.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":484568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":484569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephens, Brail S.","contributorId":105214,"corporation":false,"usgs":true,"family":"Stephens","given":"Brail","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048152,"text":"70048152 - 2013 - Potential climate change impacts on temperate forest ecosystem processes","interactions":[],"lastModifiedDate":"2013-09-13T09:59:19","indexId":"70048152","displayToPublicDate":"2013-07-01T09:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential climate change impacts on temperate forest ecosystem processes","docAbstract":"Large changes in atmospheric CO2, temperature and precipitation are predicted by 2100, yet the long-term consequences for carbon, water, and nitrogen cycling in forests are poorly understood. We applied the PnET-CN ecosystem model to compare the long-term effects of changing climate and atmospheric CO2 on productivity, evapotranspiration, runoff, and net nitrogen mineralization in current Great Lakes forest types. We used two statistically downscaled climate projections, PCM B1 (warmer and wetter) and GFDL A1FI (hotter and drier), to represent two potential future climate and atmospheric CO2 scenarios. To separate the effects of climate and CO2, we ran PnET-CN including and excluding the CO2 routine. Our results suggest that, with rising CO2 and without changes in forest type, average regional productivity could increase from 67% to 142%, changes in evapotranspiration could range from –3% to +6%, runoff could increase from 2% to 22%, and net N mineralization could increase 10% to 12%. Ecosystem responses varied geographically and by forest type. Increased productivity was almost entirely driven by CO2 fertilization effects, rather than by temperature or precipitation (model runs holding CO2 constant showed stable or declining productivity). The relative importance of edaphic and climatic spatial drivers of productivity varied over time, suggesting that productivity in Great Lakes forests may switch from being temperature to water limited by the end of the century.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Forest Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press, A division of Canadian Science Publishing","doi":"10.1139/cjfr-2013-0013","usgsCitation":"Peters, E.B., Wythers, K.R., Zhang, S., Bradford, J.B., and Reich, P., 2013, Potential climate change impacts on temperate forest ecosystem processes: Canadian Journal of Forest Research, 44 p., https://doi.org/10.1139/cjfr-2013-0013.","productDescription":"44 p.","ipdsId":"IP-044017","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473718,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11299/177575","text":"External Repository"},{"id":277539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277526,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfr-2013-0013"},{"id":277527,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2013-0013"}],"country":"United States","state":"Michigan;Minnesota;Wisconsin","otherGeospatial":"Great Lakes Region","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97,0.0011111111111111111 ], [ -97,0.001388888888888889 ], [ -82,0.001388888888888889 ], [ -82,0.0011111111111111111 ], [ -97,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523433ede4b0b9e9b3336d8e","contributors":{"authors":[{"text":"Peters, Emily B.","contributorId":76210,"corporation":false,"usgs":true,"family":"Peters","given":"Emily","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":483878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wythers, Kirk R.","contributorId":84252,"corporation":false,"usgs":true,"family":"Wythers","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":483879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Shuxia","contributorId":69876,"corporation":false,"usgs":true,"family":"Zhang","given":"Shuxia","email":"","affiliations":[],"preferred":false,"id":483876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":483875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reich, Peter B.","contributorId":75835,"corporation":false,"usgs":true,"family":"Reich","given":"Peter B.","affiliations":[],"preferred":false,"id":483877,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048421,"text":"70048421 - 2013 - Twentieth-century global-mean sea level rise: Is the whole greater than the sum of the parts?","interactions":[],"lastModifiedDate":"2018-02-21T15:23:51","indexId":"70048421","displayToPublicDate":"2013-07-01T09:35:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth-century global-mean sea level rise: Is the whole greater than the sum of the parts?","docAbstract":"Confidence in projections of global-mean sea level rise (GMSLR) depends on an ability to account for GMSLR during the twentieth century. There are contributions from ocean thermal expansion, mass loss from glaciers and ice sheets, groundwater extraction, and reservoir impoundment. Progress has been made toward solving the “enigma” of twentieth-century GMSLR, which is that the observed GMSLR has previously been found to exceed the sum of estimated contributions, especially for the earlier decades. The authors propose the following: thermal expansion simulated by climate models may previously have been underestimated because of their not including volcanic forcing in their control state; the rate of glacier mass loss was larger than previously estimated and was not smaller in the first half than in the second half of the century; the Greenland ice sheet could have made a positive contribution throughout the century; and groundwater depletion and reservoir impoundment, which are of opposite sign, may have been approximately equal in magnitude. It is possible to reconstruct the time series of GMSLR from the quantified contributions, apart from a constant residual term, which is small enough to be explained as a long-term contribution from the Antarctic ice sheet. The reconstructions account for the observation that the rate of GMSLR was not much larger during the last 50 years than during the twentieth century as a whole, despite the increasing anthropogenic forcing. Semiempirical methods for projecting GMSLR depend on the existence of a relationship between global climate change and the rate of GMSLR, but the implication of the authors' closure of the budget is that such a relationship is weak or absent during the twentieth century.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Climate","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/JCLI-D-12-00319.1","usgsCitation":"Gregory, J., White, N., Church, J., Bierkens, M., Box, J., Van den Broeke, M., Cogley, J., Fettweis, X., Hanna, E., Huybrechts, P., Konikow, L.F., Leclercq, P., Marzeion, B., Oerlemans, J., Tamisiea, M., Wada, Y., Wake, L., and Van de Wal, R., 2013, Twentieth-century global-mean sea level rise: Is the whole greater than the sum of the parts?: Journal of Climate, v. 26, no. 13, p. 4476-4499, https://doi.org/10.1175/JCLI-D-12-00319.1.","productDescription":"24 p.","startPage":"4476","endPage":"4499","ipdsId":"IP-041890","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473719,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/jcli-d-12-00319.1","text":"External Repository"},{"id":278182,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/JCLI-D-12-00319.1"},{"id":278183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.014444444444444444,-90 ], [ -0.014444444444444444,0.0025 ], [ 0.01888888888888889,0.0025 ], [ 0.01888888888888889,-90 ], [ -0.014444444444444444,-90 ] ] ] } } ] }","volume":"26","issue":"13","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"5246e91ce4b035b7f35addf0","contributors":{"authors":[{"text":"Gregory, J.M.","contributorId":45217,"corporation":false,"usgs":true,"family":"Gregory","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":484587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, N.J.","contributorId":63710,"corporation":false,"usgs":true,"family":"White","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":484591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Church, J.A.","contributorId":69460,"corporation":false,"usgs":true,"family":"Church","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":484594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bierkens, M.F.P.","contributorId":51192,"corporation":false,"usgs":true,"family":"Bierkens","given":"M.F.P.","affiliations":[],"preferred":false,"id":484588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Box, J.E.","contributorId":95788,"corporation":false,"usgs":true,"family":"Box","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":484595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van den Broeke, M.R.","contributorId":44820,"corporation":false,"usgs":true,"family":"Van den Broeke","given":"M.R.","affiliations":[],"preferred":false,"id":484586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cogley, J.G.","contributorId":58549,"corporation":false,"usgs":true,"family":"Cogley","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":484589,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fettweis, X.","contributorId":32073,"corporation":false,"usgs":true,"family":"Fettweis","given":"X.","affiliations":[],"preferred":false,"id":484583,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hanna, E.","contributorId":29728,"corporation":false,"usgs":true,"family":"Hanna","given":"E.","email":"","affiliations":[],"preferred":false,"id":484582,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huybrechts, P.","contributorId":64412,"corporation":false,"usgs":true,"family":"Huybrechts","given":"P.","email":"","affiliations":[],"preferred":false,"id":484592,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":484585,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Leclercq, P.W.","contributorId":6364,"corporation":false,"usgs":true,"family":"Leclercq","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":484579,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marzeion, B.","contributorId":105216,"corporation":false,"usgs":true,"family":"Marzeion","given":"B.","email":"","affiliations":[],"preferred":false,"id":484596,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oerlemans, J.","contributorId":27778,"corporation":false,"usgs":true,"family":"Oerlemans","given":"J.","email":"","affiliations":[],"preferred":false,"id":484581,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tamisiea, M.E.","contributorId":37241,"corporation":false,"usgs":true,"family":"Tamisiea","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":484584,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wada, Y.","contributorId":68212,"corporation":false,"usgs":true,"family":"Wada","given":"Y.","email":"","affiliations":[],"preferred":false,"id":484593,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wake, L.M.","contributorId":9563,"corporation":false,"usgs":true,"family":"Wake","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":484580,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Van de Wal, R.S.W.","contributorId":61737,"corporation":false,"usgs":true,"family":"Van de Wal","given":"R.S.W.","email":"","affiliations":[],"preferred":false,"id":484590,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70047828,"text":"70047828 - 2013 - Exposure and effects of perfluoroalkyl substances in tree swallows nesting in Minnesota and Wisconsin, USA","interactions":[],"lastModifiedDate":"2018-09-14T15:50:31","indexId":"70047828","displayToPublicDate":"2013-07-01T08:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Exposure and effects of perfluoroalkyl substances in tree swallows nesting in Minnesota and Wisconsin, USA","docAbstract":"The exposure and effects of perfluoroalkyl substances (PFASs) were studied at eight locations in Minnesota and Wisconsin between 2007 and 2011 using tree swallows (Tachycineta bicolor). Concentrations of PFASs were quantified as were reproductive success end points. The sample egg method was used wherein an egg sample is collected, and the hatching success of the remaining eggs in the nest is assessed. The association between PFAS exposure and reproductive success was assessed by site comparisons, logistic regression analysis, and multistate modeling, a technique not previously used in this context. There was a negative association between concentrations of perfluorooctane sulfonate (PFOS) in eggs and hatching success. The concentration at which effects became evident (150–200 ng/g wet weight) was far lower than effect levels found in laboratory feeding trials or egg-injection studies of other avian species. This discrepancy was likely because behavioral effects and other extrinsic factors are not accounted for in these laboratory studies and the possibility that tree swallows are unusually sensitive to PFASs. The results from multistate modeling and simple logistic regression analyses were nearly identical. Multistate modeling provides a better method to examine possible effects of additional covariates and assessment of models using Akaike information criteria analyses. There was a credible association between PFOS concentrations in plasma and eggs, so extrapolation between these two commonly sampled tissues can be performed.","language":"English","publisher":"Springer","doi":"10.1007/s00244-013-9934-0","usgsCitation":"Custer, C.M., Custer, T.W., Dummer, P.M., Etterson, M.A., Thogmartin, W.E., Wu, Q., Kannan, K., Trowbridge, A., and McKann, P., 2013, Exposure and effects of perfluoroalkyl substances in tree swallows nesting in Minnesota and Wisconsin, USA: Archives of Environmental Contamination and Toxicology, 19 p., https://doi.org/10.1007/s00244-013-9934-0.","productDescription":"19 p.","numberOfPages":"19","ipdsId":"IP-044261","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":438785,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X96MTT","text":"USGS data release","linkHelpText":"PFASs in tree swallows in the Upper Midwest"},{"id":276995,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-013-9934-0"},{"id":277035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota;Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.7898,43.5122 ], [ -95.7898,47.0807 ], [ -87.1705,47.0807 ], [ -87.1705,43.5122 ], [ -95.7898,43.5122 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-07-17","publicationStatus":"PW","scienceBaseUri":"53cd58d6e4b0b290850f858a","contributors":{"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":483073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":483075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":483076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Etterson, Matthew A.","contributorId":108012,"corporation":false,"usgs":false,"family":"Etterson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":483081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":483074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Qian","contributorId":87848,"corporation":false,"usgs":true,"family":"Wu","given":"Qian","email":"","affiliations":[],"preferred":false,"id":483080,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kannan, Kurunthachalam","contributorId":42861,"corporation":false,"usgs":true,"family":"Kannan","given":"Kurunthachalam","email":"","affiliations":[],"preferred":false,"id":483078,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trowbridge, Annette","contributorId":44818,"corporation":false,"usgs":true,"family":"Trowbridge","given":"Annette","email":"","affiliations":[],"preferred":false,"id":483079,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKann, Patrick C.","contributorId":14940,"corporation":false,"usgs":true,"family":"McKann","given":"Patrick C.","affiliations":[],"preferred":false,"id":483077,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70047855,"text":"70047855 - 2013 - Rapid fluctuations in flow and water-column properties in Asan Bay, Guam: implications for selective resilience of coral reefs in warming seas","interactions":[],"lastModifiedDate":"2018-05-31T10:21:57","indexId":"70047855","displayToPublicDate":"2013-07-01T08:02:33","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Rapid fluctuations in flow and water-column properties in Asan Bay, Guam: implications for selective resilience of coral reefs in warming seas","docAbstract":"Hydrodynamics and water-column properties were investigated off west-central Guam from July 2007 through January 2008. Rapid fluctuations, on time scales of 10s of min, in currents, temperature, salinity, and acoustic backscatter were observed to occur on sub-diurnal frequencies along more than 2 km of the fore reef but not at the reef crest. During periods characterized by higher sea-surface temperatures (SSTs), weaker wind forcing, smaller ocean surface waves, and greater thermal stratification, rapid decreases in temperature and concurrent rapid increases in salinity and acoustic backscatter coincided with onshore-directed near-bed currents and offshore-directed near-surface currents. During the study, these cool-water events, on average, lasted 2.3 h and decreased the water temperature 0.57 °C, increased the salinity 0.25 PSU, and were two orders of magnitude more prevalent during the summer season than the winter. During the summer season when the average satellite-derived SST anomaly was +0.63 °C, these cooling events, on average, lowered the temperature 1.14 °C along the fore reef but only 0.11 °C along the reef crest. The rapid shifts appear to be the result of internal tidal bores pumping cooler, more saline, higher-backscatter oceanic water from depths >50 m over cross-shore distances of 100 s of m into the warmer, less saline waters at depths of 20 m and shallower. Such internal bores appear to have the potential to buffer shallow coral reefs from predicted increases in SSTs by bringing cool, offshore water to shallow coral environments. These cooling internal bores may also provide additional benefits to offset stress such as supplying food to thermally stressed corals, reducing stress due to ultraviolet radiation and/or low salinity, and delivering coral larvae from deeper reefs not impacted by surface thermal stress. Thus, the presence of internal bores might be an important factor locally in the resilience of select coral reefs facing increased thermal stress.","language":"English","publisher":"Springer","doi":"10.1007/s00338-013-1061-x","usgsCitation":"Storlazzi, C., Field, M.E., Cheriton, O., Presto, M., and Logan, J., 2013, Rapid fluctuations in flow and water-column properties in Asan Bay, Guam: implications for selective resilience of coral reefs in warming seas: Coral Reefs, v. 32, no. 4, p. 949-961, https://doi.org/10.1007/s00338-013-1061-x.","productDescription":"13 p.","startPage":"949","endPage":"961","ipdsId":"IP-044889","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277069,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-013-1061-x"}],"otherGeospatial":"Asan Bay, Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.618,13.246 ], [ 144.618,13.654 ], [ 144.956,13.654 ], [ 144.956,13.246 ], [ 144.618,13.246 ] ] ] } } ] }","volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-20","publicationStatus":"PW","scienceBaseUri":"521f1bece4b0f8bf2b076168","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":483160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136 ocheriton@usgs.gov","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":5476,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia M.","email":"ocheriton@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Presto, M.K.","contributorId":77333,"corporation":false,"usgs":true,"family":"Presto","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":483163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Logan, J.B.","contributorId":43150,"corporation":false,"usgs":true,"family":"Logan","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":483161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188862,"text":"70188862 - 2013 - Covariation of climate and long-term erosion rates acrossa steep rainfall gradient on the Hawaiian island of Kaua'i","interactions":[],"lastModifiedDate":"2017-06-26T14:32:48","indexId":"70188862","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Covariation of climate and long-term erosion rates acrossa steep rainfall gradient on the Hawaiian island of Kaua'i","docAbstract":"<p><span>Erosion of volcanic ocean islands creates dramatic landscapes, modulates Earth’s carbon cycle, and delivers sediment to coasts and reefs. Because many volcanic islands have large climate gradients and minimal variations in lithology and tectonic history, they are excellent natural laboratories for studying climatic effects on the evolution of topography. Despite concerns that modern sediment fluxes to island coasts may exceed long-term fluxes, little is known about how erosion rates and processes vary across island interiors, how erosion rates are influenced by the strong climate gradients on many islands, and how modern island erosion rates compare to long-term rates. Here, we present new measurements of erosion rates over 5 yr to 5 m.y. timescales on the Hawaiian island of Kaua‘i, across which mean annual precipitation ranges from 0.5 to 9.5 m/yr. Eroded rock volumes from basins across Kaua‘i indicate that million-year-scale erosion rates are correlated with modern mean annual precipitation and range from 8 to 335 t km</span><sup>–2</sup><span> yr</span><sup>–1</sup><span>. In Kaua‘i’s Hanalei River basin, </span><sup>3</sup><span>He concentrations in detrital olivines imply millennial-scale erosion rates of &gt;126 to &gt;390 t km</span><sup>–2</sup><span> yr</span><sup>–1</sup><span> from olivine-bearing hillslopes, while fluvial suspended sediment fluxes measured from 2004 to 2009 plus estimates of chemical and bed-load fluxes imply basin-averaged erosion rates of 545 ± 128 t km</span><sup>–2</sup><span> yr</span><sup>–1</sup><span>. Mapping of landslide scars in satellite imagery of the Hanalei basin from 2004 and 2010 implies landslide-driven erosion rates of 30–47 t km</span><sup>–2</sup><span> yr</span><sup>–1</sup><span>. These measurements imply that modern erosion rates in the Hanalei basin are no more than 2.3 ± 0.6 times faster than millennial-scale erosion rates, and, to the extent that modern precipitation patterns resemble long-term patterns, they are consistent with a link between precipitation rates and long-term erosion rates.</span></p>","language":"English","publisher":"GSA Bulletin","doi":"10.1130/B30726.1","usgsCitation":"Ferrier, K., J. Taylor Perron, Mukhopadhyay, S., Rosener, M., Stock, J.D., Slosberg, M., and Huppert, K.L., 2013, Covariation of climate and long-term erosion rates acrossa steep rainfall gradient on the Hawaiian island of Kaua'i: Geological Society of America Bulletin, v. 125, no. 7-8, p. 1146-1163, https://doi.org/10.1130/B30726.1.","productDescription":"18 p. ","startPage":"1146","endPage":"1163","ipdsId":"IP-041318","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473722,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1721.1/85607","text":"External Repository"},{"id":342908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kaua'i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.50569152832028,\n              22.20647775308631\n            ],\n            [\n              -159.51461791992188,\n              22.210927691329278\n            ],\n            [\n              -159.52011108398435,\n              22.21982714445402\n            ],\n            [\n              -159.53453063964844,\n              22.22109844881229\n            ],\n            [\n              -159.53933715820312,\n              22.21601316224286\n            ],\n            [\n              -159.54689025878906,\n              22.23253966941229\n            ],\n            [\n              -159.5537567138672,\n              22.23190407053973\n            ],\n            [\n              -159.5674896240234,\n              22.22681917581246\n            ],\n            [\n              -159.6697998046875,\n              22.171509045009678\n            ],\n            [\n              -159.73434448242188,\n              22.153703451251545\n            ],\n            [\n              -159.7460174560547,\n              22.109815766134687\n            ],\n            [\n              -159.78721618652344,\n              22.073550416715413\n            ],\n            [\n              -159.79820251464844,\n              22.025818668270805\n            ],\n            [\n              -159.7796630859375,\n              21.99207852720931\n            ],\n            [\n              -159.7364044189453,\n              21.95578300297433\n            ],\n            [\n              -159.69383239746094,\n              21.953872455297077\n            ],\n            [\n              -159.66705322265625,\n              21.947503777580312\n            ],\n            [\n              -159.6031951904297,\n              21.88571280949585\n            ],\n            [\n              -159.52560424804688,\n              21.869782959214877\n            ],\n            [\n              -159.43359375,\n              21.861498734372567\n            ],\n            [\n              -159.35806274414062,\n              21.915656111244605\n            ],\n            [\n              -159.32579040527344,\n              21.951325018447147\n            ],\n            [\n              -159.32785034179688,\n              21.99207852720931\n            ],\n            [\n              -159.33746337890625,\n              22.029001285781717\n            ],\n            [\n              -159.32647705078125,\n              22.04491330024569\n            ],\n            [\n              -159.29969787597656,\n              22.0799134325097\n            ],\n            [\n              -159.28871154785156,\n              22.141619800738773\n            ],\n            [\n              -159.29832458496094,\n              22.165150163130182\n            ],\n            [\n              -159.32098388671875,\n              22.204570593504172\n            ],\n            [\n              -159.35462951660156,\n              22.231268468785167\n            ],\n            [\n              -159.39926147460938,\n              22.235717620542733\n            ],\n            [\n              -159.4782257080078,\n              22.236988780818567\n            ],\n            [\n              -159.50500488281247,\n              22.234446448737298\n            ],\n            [\n              -159.50569152832028,\n              22.20647775308631\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"7-8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-22","publicationStatus":"PW","scienceBaseUri":"59521d29e4b062508e3c36d8","contributors":{"authors":[{"text":"Ferrier, Ken","contributorId":193529,"corporation":false,"usgs":false,"family":"Ferrier","given":"Ken","email":"","affiliations":[],"preferred":false,"id":700733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"J. Taylor Perron","contributorId":193528,"corporation":false,"usgs":false,"family":"J. Taylor Perron","affiliations":[],"preferred":false,"id":700732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mukhopadhyay, Sujoy","contributorId":193532,"corporation":false,"usgs":false,"family":"Mukhopadhyay","given":"Sujoy","email":"","affiliations":[],"preferred":false,"id":700736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosener, Matt","contributorId":193531,"corporation":false,"usgs":false,"family":"Rosener","given":"Matt","email":"","affiliations":[],"preferred":false,"id":700735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700731,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slosberg, Michelle","contributorId":193533,"corporation":false,"usgs":false,"family":"Slosberg","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":700739,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huppert, Kimberly L.","contributorId":193530,"corporation":false,"usgs":false,"family":"Huppert","given":"Kimberly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":700734,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70045529,"text":"70045529 - 2013 - Natural climate variability and teleconnections to precipitation over the Pacific-North American region in CMIP3 and CMIP5 models","interactions":[],"lastModifiedDate":"2013-07-01T10:53:08","indexId":"70045529","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Natural climate variability and teleconnections to precipitation over the Pacific-North American region in CMIP3 and CMIP5 models","docAbstract":"Natural climate variability will continue to be an important aspect of future regional climate even in the midst of long-term secular changes. Consequently, the ability of climate models to simulate major natural modes of variability and their teleconnections provides important context for the interpretation and use of climate change projections. Comparisons reported here indicate that the CMIP5 generation of global climate models shows significant improvements in simulations of key Pacific climate mode and their teleconnections to North America compared to earlier CMIP3 simulations. The performance of 14 models with simulations in both the CMIP3 and CMIP5 archives are assessed using singular value decomposition analysis of simulated and observed winter Pacific sea surface temperatures (SSTs) and concurrent precipitation over the contiguous United States and northwestern Mexico. Most of the models reproduce basic features of the key natural mode and their teleconnections, albeit with notable regional deviations from observations in both SST and precipitation. Increasing horizontal resolution in the CMIP5 simulations is an important, but not a necessary, factor in the improvement from CMIP3 to CMIP5.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/grl.50491","usgsCitation":"Polade, S.D., Gershunov, A., Cayan, D.R., Dettinger, M., and Pierce, D.W., 2013, Natural climate variability and teleconnections to precipitation over the Pacific-North American region in CMIP3 and CMIP5 models: Geophysical Research Letters, v. 40, no. 10, p. 2296-2301, https://doi.org/10.1002/grl.50491.","productDescription":"6 p.","startPage":"2296","endPage":"2301","ipdsId":"IP-045319","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50491","text":"Publisher Index Page"},{"id":274340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274339,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50491"}],"volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-05-31","publicationStatus":"PW","scienceBaseUri":"51d296dbe4b0ca18483389bf","contributors":{"authors":[{"text":"Polade, Suraj D.","contributorId":49687,"corporation":false,"usgs":true,"family":"Polade","given":"Suraj","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":477765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gershunov, Alexander","contributorId":35622,"corporation":false,"usgs":true,"family":"Gershunov","given":"Alexander","affiliations":[],"preferred":false,"id":477764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":477761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":31743,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":477763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pierce, David W.","contributorId":26953,"corporation":false,"usgs":true,"family":"Pierce","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":477762,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046726,"text":"fs20133039 - 2013 - Native and nonnative fish populations of the Colorado River are food limited--evidence from new food web analyses","interactions":[],"lastModifiedDate":"2013-07-01T09:09:30","indexId":"fs20133039","displayToPublicDate":"2013-07-01T00:00:00","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":"2013-3039","title":"Native and nonnative fish populations of the Colorado River are food limited--evidence from new food web analyses","docAbstract":"Fish populations in the Colorado River downstream from Glen Canyon Dam appear to be limited by the availability of high-quality invertebrate prey. Midge and blackfly production is low and nonnative rainbow trout in Glen Canyon and native fishes in Grand Canyon consume virtually all of the midge and blackfly biomass that is produced annually. In Glen Canyon, the invertebrate assemblage is dominated by nonnative New Zealand mudsnails, the food web has a simple structure, and transfers of energy from the base of the web (algae) to the top of the web (rainbow trout) are inefficient. The food webs in Grand Canyon are more complex relative to Glen Canyon, because, on average, each species in the web is involved in more interactions and feeding connections. Based on theory and on studies from other ecosystems, the structure and organization of Grand Canyon food webs should make them more stable and less susceptible to large changes following perturbations of the flow regime relative to food webs in Glen Canyon. In support of this hypothesis, Grand Canyon food webs were much less affected by a 2008 controlled flood relative to the food web in Glen Canyon.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133039","usgsCitation":"Kennedy, T., Cross, W.F., Hall, R., Baxter, C., and Rosi-Marshall, E.J., 2013, Native and nonnative fish populations of the Colorado River are food limited--evidence from new food web analyses: U.S. Geological Survey Fact Sheet 2013-3039, 4 p., https://doi.org/10.3133/fs20133039.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":274320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133039.gif"},{"id":274318,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3039/"},{"id":274319,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3039/fs2013-3039.pdf"}],"country":"United States","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0,35.4 ], [ -114.0,38.0 ], [ -111.0,38.0 ], [ -111.0,35.4 ], [ -114.0,35.4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296dae4b0ca18483389bb","contributors":{"authors":[{"text":"Kennedy, Theodore A. 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":50227,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":480116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Wyatt F.","contributorId":70881,"corporation":false,"usgs":true,"family":"Cross","given":"Wyatt","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":480117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Robert O. Jr.","contributorId":104182,"corporation":false,"usgs":true,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[],"preferred":false,"id":480118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":480115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosi-Marshall, Emma J.","contributorId":17722,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480114,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046722,"text":"ofr20131131 - 2013 - National assessment of hurricane-induced coastal erosion hazards: Mid-Atlantic Coast","interactions":[],"lastModifiedDate":"2013-07-01T08:23:52","indexId":"ofr20131131","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1131","title":"National assessment of hurricane-induced coastal erosion hazards: Mid-Atlantic Coast","docAbstract":"Beaches serve as a natural buffer between the ocean and inland communities, ecosystems, and natural resources. However, these dynamic environments move and change in response to winds, waves, and currents. During extreme storms, changes to beaches can be large, and the results are sometimes catastrophic. Lives may be lost, communities destroyed, and millions of dollars spent on rebuilding.\n\nDuring storms, large waves may erode beaches, and high storm surge shifts the erosive force of the waves higher on the beach. In some cases, the combined effects of waves and surge may cause overwash (when waves and surge overtop the dune, transporting sand inland) or flooding. Building and infrastructure on or near a dune can be undermined during wave attack and subsequent erosion. During Hurricane Ivan in 2004, a five-story condominium in Orange Beach, Alabama, collapsed after the sand dune supporting the foundation eroded. Hurricane Sandy, which made landfall as an extra-tropical cyclone on October 29, 2012, caused erosion and undermining that destroyed roads, boardwalks, and foundations in Seaside Heights, New Jersey.\n\nWaves overtopping a dune can transport sand inland, covering roads and blocking evacuation routes or emergency relief. If storm surge inundates barrier island dunes, currents flowing across the island can create a breach, or a new inlet, completely severing evacuation routes. Waves and surge during Hurricane Sandy, which made landfall on October 29, 2012, left a breach that cut the road and bridge to Mantoloking, N.J.\n\nExtreme coastal changes caused by hurricanes may increase the vulnerability of communities both during a storm and to future storms. For example, when sand dunes on a barrier island are eroded substantially, inland structures are exposed to storm surge and waves. Absent or low dunes also allow water to flow inland across the island, potentially increasing storm surge in the back bay, on the soundside of the barrier, and on the mainland.","language":"English","publisher":"U.S. Geological  Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131131","usgsCitation":"Doran, K., Stockdon, H.F., Sopkin, K.L., Thompson, D.M., and Plant, N.G., 2013, National assessment of hurricane-induced coastal erosion hazards: Mid-Atlantic Coast: U.S. Geological Survey Open-File Report 2013-1131, vi, 28 p.; Mid-Atlantic Coastal Erosion Hazards Dataset, https://doi.org/10.3133/ofr20131131.","productDescription":"vi, 28 p.; Mid-Atlantic Coastal Erosion Hazards Dataset","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131131.gif"},{"id":274310,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1131/"},{"id":274311,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1131/pdf/ofr2013-1131.pdf"},{"id":274312,"type":{"id":7,"text":"Companion Files"},"url":"https://olga.er.usgs.gov/data/NACCH/MA_erosion_hazards.zip"}],"country":"United States","state":"New York;New Jersey;Delaware;Maryl;Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.49,36.5408 ], [ -78.49,45.02 ], [ -71.11,45.02 ], [ -71.11,36.5408 ], [ -78.49,36.5408 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d8e4b0ca18483389b3","contributors":{"authors":[{"text":"Doran, Kara S. 0000-0001-8050-5727","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":33010,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","affiliations":[],"preferred":false,"id":480097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480094,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046723,"text":"ofr20131130 - 2013 - National assessment of hurricane-induced coastal erosion hazards: Southeast Atlantic Coast","interactions":[],"lastModifiedDate":"2013-07-01T08:11:17","indexId":"ofr20131130","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1130","title":"National assessment of hurricane-induced coastal erosion hazards: Southeast Atlantic Coast","docAbstract":"Beaches serve as a natural barrier between the ocean and inland communities, ecosystems, and natural resources. However, these dynamic environments move and change in response to winds, waves, and currents. During extreme storms, changes to beaches can be large, and the results are sometimes catastrophic. Lives may be lost, communities destroyed, and millions of dollars spent on rebuilding.\n\nDuring storms, large waves may erode beaches, and high storm surge shifts the erosive force of the waves higher on the beach. In some cases, the combined effects of waves and surge may cause overwash or flooding. Building and infrastructure on or near a dune can be undermined during wave attack and subsequent erosion. During Hurricane Ivan in 2004, a five-story condominium in Orange Beach, Alabama, collapsed after the sand dune supporting the foundation eroded. The September 1999 landfall of Hurricane Dennis caused erosion and undermining that destroyed roads, foundations, and septic systems.\n\nWaves overtopping a dune can transport sand inland, covering roads and blocking evacuation routes or emergency relief. If storm surge inundates barrier island dunes, currents flowing across the island can create a breach, or new inlet, completely severing evacuation routes. Waves and surge during the 2003 landfall of Hurricane Isabel left a 200-meter (m) wide breach that cut the only road to and from the village of Hatteras, N.C.\n\nExtreme coastal changes caused by hurricanes may increase the vulnerability of communities both during a storm and to future storms. For example, when sand dunes on a barrier island are eroded substantially, inland structures are exposed to storm surge and waves. Absent or low dunes also allow water to flow inland across the island, potentially increasing storm surge in the back bay, on the soundside of the barrier, and on the mainland. During Hurricane Isabel the protective sand dunes near the breach were completely eroded, increasing vulnerability to future storms.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131130","usgsCitation":"Stockdon, H.F., Doran, K., Thompson, D.M., Sopkin, K.L., and Plant, N.G., 2013, National assessment of hurricane-induced coastal erosion hazards: Southeast Atlantic Coast: U.S. Geological Survey Open-File Report 2013-1130, vi, 28 p., https://doi.org/10.3133/ofr20131130.","productDescription":"vi, 28 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":564,"text":"Southeast Atlantic Coastal Erosion Hazards Dataset","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274306,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1130/"},{"id":274307,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1130/pdf/ofr2013-1130.pdf"},{"id":274308,"type":{"id":7,"text":"Companion Files"},"url":"https://olga.er.usgs.gov/data/NACCH/GOM_erosion_hazards.zip"},{"id":274309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131130.gif"}],"country":"United States","state":"North Carolina;South Carolina;Georgia;Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.9,24.52 ], [ -81.9,36.5882 ], [ -75.37,36.5882 ], [ -75.37,24.52 ], [ -81.9,24.52 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d8e4b0ca18483389b7","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":2496,"corporation":false,"usgs":true,"family":"Doran","given":"Kara S.","email":"kdoran@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":480099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sopkin, Kristin L. ksopkin@usgs.gov","contributorId":4437,"corporation":false,"usgs":true,"family":"Sopkin","given":"Kristin","email":"ksopkin@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480101,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041208,"text":"70041208 - 2013 - Assessment of the NASA-USGS Global Land Survey (GLS) Datasets","interactions":[],"lastModifiedDate":"2017-04-06T16:00:45","indexId":"70041208","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of the NASA-USGS Global Land Survey (GLS) Datasets","docAbstract":"<p><span>The Global Land Survey (GLS) datasets are a collection of orthorectified, cloud-minimized Landsat-type satellite images, providing near complete coverage of the global land area decadally since the early 1970s. The global mosaics are centered on 1975, 1990, 2000, 2005, and 2010, and consist of data acquired from four sensors: Enhanced Thematic Mapper Plus, Thematic Mapper, Multispectral Scanner, and Advanced Land Imager. The GLS datasets have been widely used in land-cover and land-use change studies at local, regional, and global scales. This study evaluates the GLS datasets with respect to their spatial coverage, temporal consistency, geodetic accuracy, radiometric calibration consistency, image completeness, extent of cloud contamination, and residual gaps. In general, the three latest GLS datasets are of a better quality than the GLS-1990 and GLS-1975 datasets, with most of the imagery (85%) having cloud cover of less than 10%, the acquisition years clustered much more tightly around their target years, better co-registration relative to GLS-2000, and better radiometric absolute calibration. Probably, the most significant impediment to scientific use of the datasets is the variability of image phenology (i.e., acquisition day of year). This paper provides end-users with an assessment of the quality of the GLS datasets for specific applications, and where possible, suggestions for mitigating their deficiencies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.02.026","usgsCitation":"Gutman, G., Huang, C., Chander, G., Noojipady, P., and Masek, J.G., 2013, Assessment of the NASA-USGS Global Land Survey (GLS) Datasets: Remote Sensing of Environment, v. 134, p. 249-265, https://doi.org/10.1016/j.rse.2013.02.026.","productDescription":"17 p.","startPage":"249","endPage":"265","ipdsId":"IP-037259","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":339371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","volume":"134","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753eee4b09da6799c0c53","contributors":{"authors":[{"text":"Gutman, Garik","contributorId":190654,"corporation":false,"usgs":false,"family":"Gutman","given":"Garik","email":"","affiliations":[],"preferred":false,"id":690210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":690211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":690212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noojipady, Praveen","contributorId":24260,"corporation":false,"usgs":true,"family":"Noojipady","given":"Praveen","email":"","affiliations":[],"preferred":false,"id":690213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masek, Jeffery G.","contributorId":87438,"corporation":false,"usgs":true,"family":"Masek","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":690214,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70150321,"text":"70150321 - 2013 - Beaver dams maintain fish biodiversity by increasing habitat heterogeneity throughout a low-gradient stream network","interactions":[],"lastModifiedDate":"2015-07-01T12:51:17","indexId":"70150321","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Beaver dams maintain fish biodiversity by increasing habitat heterogeneity throughout a low-gradient stream network","docAbstract":"<ol id=\"fwb12153-list-0001\" class=\"numbered\">\n<li>Understanding the relationship between heterogeneity and biodiversity is an active focus of ecological research. Although habitat heterogeneity is conceptually linked to biodiversity, the amount and configuration of heterogeneity that maintains biodiversity within ecosystems is not well understood, especially for an entire stream network.</li>\n<li>Here, we tested alternative outcomes about how habitat alterations caused by beaver dams affected native fish biodiversity. Specifically, we quantified in-stream habitat and fish assemblages above and below all beaver dams (<i>n&nbsp;</i>=<i>&nbsp;</i>15) and selected control sites (<i>n&nbsp;</i>=<i>&nbsp;</i>9), adjacent to beaver dams, within an entire, low-gradient stream network (Fish Brook, MA, U.S.A.).</li>\n<li>Beaver dams altered habitat within streams in four ways based on upstream versus downstream differences in stream width, depth, velocity and substratum. In general, habitat heterogeneity, measured using two indices, was greater at beaver dams than control sites.</li>\n<li>The diversity and abundance of fish around beaver dams were positively related to habitat heterogeneity. Faster water and the coarser substratum below beaver dams increased the amount of fluvial habitat available to native fish. This alteration can be critical for fish with life histories that depend on flowing water and hard substrata.</li>\n<li>In summary, within a stream network, beaver dams maintained fish biodiversity by altering in-stream habitat and increasing habitat heterogeneity. Understanding the relationship between habitat heterogeneity and biodiversity can advance basic freshwater ecology and provide science-based support for applied aquatic conservation</li>\n</ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12153","usgsCitation":"Smith, J.M., and Mather, M.E., 2013, Beaver dams maintain fish biodiversity by increasing habitat heterogeneity throughout a low-gradient stream network: Freshwater Biology, v. 58, no. 7, p. 1523-1538, https://doi.org/10.1111/fwb.12153.","productDescription":"16 p.","startPage":"1523","endPage":"1538","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035637","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Fish Brook, Ipswich River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.10694885253906,\n              42.56623017635374\n            ],\n            [\n              -71.10694885253906,\n              42.58177886997267\n            ],\n            [\n              -71.0185432434082,\n              42.58177886997267\n            ],\n            [\n              -71.0185432434082,\n              42.56623017635374\n            ],\n            [\n              -71.10694885253906,\n              42.56623017635374\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-26","publicationStatus":"PW","scienceBaseUri":"55950f2ce4b0b6d21dd6cbd5","contributors":{"authors":[{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":564055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556706,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041498,"text":"70041498 - 2013 - Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries","interactions":[],"lastModifiedDate":"2013-07-01T11:40:22","indexId":"70041498","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries","docAbstract":"The northern fulmar Fulmarus glacialis is one of the most visible and widespread seabirds in the eastern Bering Sea and Aleutian Islands. However, relatively little is known about its abundance, trends, or the factors that shape its distribution. We used a long-term pelagic dataset to model changes in fulmar at-sea distribution and abundance since the mid-1970s. We used an ensemble model, based on a weighted average of generalized additive model (GAM), multivariate adaptive regression splines (MARS), and random forest models to estimate the pelagic distribution and density of fulmars in the waters of the Aleutian Archipelago and Bering Sea. The most important predictor variables were colony effect, sea surface temperature, distribution of fisheries, location, and primary productivity. We calculated a time series from the ratio of observed to predicted values and found that fulmar at-sea abundance declined from the 1970s to the 2000s at a rate of 0.83% (± 0.39% SE) per annum. Interpolating fulmar densities on a spatial grid through time, we found that the center of fulmar distribution in the Bering Sea has shifted north, coinciding with a northward shift in fish catches and a warming ocean. Our study shows that fisheries are an important, but not the only factor, shaping fulmar distribution and abundance trends in the eastern Bering Sea and Aleutian Islands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10347","usgsCitation":"Renner, M., Parrish, J.K., Piatt, J.F., Kuletz, K.J., Edwards, A.E., and Hunt, G.L., 2013, Modeled distribution and abundance of a pelagic seabird reveal trends in relation to fisheries: Marine Ecology Progress Series, v. 484, p. 259-277, https://doi.org/10.3354/meps10347.","productDescription":"19 p.","startPage":"259","endPage":"277","ipdsId":"IP-040194","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10347","text":"Publisher Index Page"},{"id":274354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274353,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10347"}],"otherGeospatial":"Bering Sea;Aleutian Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 161.98,51.2 ], [ 161.98,66.05 ], [ -150.9,66.05 ], [ -150.9,51.2 ], [ 161.98,51.2 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389ab","contributors":{"authors":[{"text":"Renner, Martin","contributorId":18648,"corporation":false,"usgs":true,"family":"Renner","given":"Martin","affiliations":[],"preferred":false,"id":469852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Julia K.","contributorId":47270,"corporation":false,"usgs":true,"family":"Parrish","given":"Julia","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuletz, Kathy J.","contributorId":24669,"corporation":false,"usgs":true,"family":"Kuletz","given":"Kathy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Ann E.","contributorId":62110,"corporation":false,"usgs":true,"family":"Edwards","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, George L. Jr.","contributorId":56953,"corporation":false,"usgs":true,"family":"Hunt","given":"George","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469855,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193598,"text":"70193598 - 2013 - Integrating satellite observations and modern climate measurements with the recent sedimentary record: An example from Southeast Alaska","interactions":[],"lastModifiedDate":"2017-11-02T14:32:48","indexId":"70193598","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Integrating satellite observations and modern climate measurements with the recent sedimentary record: An example from Southeast Alaska","docAbstract":"<p><span>Assessments of climate change over time scales that exceed the last 100 years require robust integration of high-quality instrument records with high-resolution paleoclimate proxy data. In this study, we show that the recent biogenic sediments accumulating in two temperate ice-free fjords in Southeast Alaska preserve evidence of North Pacific Ocean climate variability as recorded by both instrument networks and satellite observations. Multicore samples EW0408-32MC and EW0408-43MC were investigated with&nbsp;</span><sup>137</sup><span>Cs and excess<span>&nbsp;</span></span><sup>210</sup><span>Pb geochronometry, three-dimensional computed tomography, high-resolution scanning XRF geochemistry, and organic stable isotope analyses. EW0408-32MC (57.162°N, 135.357°W, 146 m depth) is a moderately bioturbated continuous record that spans AD ∼1930–2004. EW0408-43MC (56.965°N, 135.268°W, 91 m depth) is composed of laminated diatom oozes, a turbidite, and a hypopycnal plume (river flood) deposit. A discontinuous event-based varve chronology indicates 43MC spans AD ∼1940–1981. Decadal-scale fluctuations in sedimentary Br/Cl ratios accurately reflect changes in marine organic matter accumulation that display the same temporal pattern as that of the Pacific Decadal Oscillation. An estimated Sitka summer productivity parameter calibrated using SeaWiFS satellite observations support these relationships. The correlation of North Pacific climate regime states, primary productivity, and sediment geochemistry indicate the accumulation of biogenic sediment in Southeast Alaska temperate fjords can be used as a sensitive recorder of past productivity variability, and by inference, past climate conditions in the high-latitude Gulf of Alaska.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/jgrc.20243","usgsCitation":"Addison, J.A., Finney, B., Jaeger, J.M., Stoner, J.S., Norris, R.D., and Hangsterfer, A., 2013, Integrating satellite observations and modern climate measurements with the recent sedimentary record: An example from Southeast Alaska: Journal of Geophysical Research: Oceans, v. 118, no. 7, p. 3444-3461, https://doi.org/10.1002/jgrc.20243.","productDescription":"18 p.","startPage":"3444","endPage":"3461","ipdsId":"IP-043226","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrc.20243","text":"Publisher Index Page"},{"id":348106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155,\n              50\n            ],\n            [\n              -120,\n              50\n            ],\n            [\n              -120,\n              61\n            ],\n            [\n              -155,\n              61\n            ],\n            [\n              -155,\n              50\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-17","publicationStatus":"PW","scienceBaseUri":"59fc2eace4b0531197b27fc1","contributors":{"authors":[{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finney, Bruce P.","contributorId":88074,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce P.","affiliations":[],"preferred":false,"id":719561,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jaeger, John M.","contributorId":11423,"corporation":false,"usgs":true,"family":"Jaeger","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719562,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stoner, Joseph S.","contributorId":84171,"corporation":false,"usgs":true,"family":"Stoner","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719563,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Norris, Richard D.","contributorId":51651,"corporation":false,"usgs":true,"family":"Norris","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":719564,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hangsterfer, Alexandra","contributorId":199603,"corporation":false,"usgs":false,"family":"Hangsterfer","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":719560,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70046757,"text":"ofr20121234 - 2013 - Application of a hydrodynamic and sediment transport model for guidance of response efforts related to the Deepwater Horizon oil spill in the Northern Gulf of Mexico along the coast of Alabama and Florida","interactions":[],"lastModifiedDate":"2014-09-04T15:49:18","indexId":"ofr20121234","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1234","title":"Application of a hydrodynamic and sediment transport model for guidance of response efforts related to the Deepwater Horizon oil spill in the Northern Gulf of Mexico along the coast of Alabama and Florida","docAbstract":"<p>U.S. Geological Survey (USGS) scientists have provided a model-based assessment of transport and deposition of residual Deepwater Horizon oil along the shoreline within the northern Gulf of Mexico in the form of mixtures of sand and weathered oil, known as surface residual balls (SRBs). The results of this USGS research, in combination with results from other components of the overall study, will inform operational decisionmaking. The results will provide guidance for response activities and data collection needs during future oil spills.</p>\n<br/>\n<p>In May 2012 the U.S. Coast Guard, acting as the Deepwater Horizon Federal on-scene coordinator, chartered an operational science advisory team to provide a science-based review of data collected and to conduct additional directed studies and sampling. The goal was to characterize typical shoreline profiles and morphology in the northern Gulf of Mexico to identify likely sources of residual oil and to evaluate mechanisms whereby reoiling phenomena may be occurring (for example, burial and exhumation and alongshore transport). A steering committee cochaired by British Petroleum Corporation (BP) and the National Oceanic and Atmospheric Administration (NOAA) is overseeing the project and includes State on-scene coordinators from four States (Alabama, Florida, Louisiana, and Mississippi), trustees of the U.S. Department of the Interior (DOI), and representatives from the U.S. Coast Guard.</p>\n<br/>\n<p>This report presents the results of hydrodynamic and sediment transport models and developed techniques for analyzing potential SRB movement and burial and exhumation along the coastline of Alabama and Florida. Results from these modeling efforts are being used to explain the complexity of reoiling in the nearshore environment and to broaden consideration of the different scenarios and difficulties that are being faced in identifying and removing residual oil. For instance, modeling results suggest that larger SRBs are not, under the most commonly observed low-energy wave conditions, likely to move very far alongshore. This finding suggests that SRBs from one source location may not (outside of storm conditions) be redistributed to other up or down coast locations. This information can guide operational response decisions. In addition, because SRBs are less mobile compared with sand, they are likely to become buried and unburied under normal sand transport processes thereby lengthening the time SRBs may take to move onshore. The rate of onshore movement was not specifically addressed by this study, yet the results resolve the cross-shore domain and cross-shore variations in alongshore transport that are relevant to achieving the primary objectives. Furthermore, during infrequent events (for example, winter storms and severe meteorological events such as Hurricane Isaac of August 2012), energy is shown to be sufficient to move a greater range of SRB sizes and potentially expose and break up submerged oil mats. When SRBs do move alongshore, the models indicate that there are regions that are more conducive to accumulation of SRB material than others. Accumulation can occur where there are reversals and decelerations in alongshore currents and where forces created by shear stress drops below critical thresholds to maintain or initiate SRB movement. In addition, flow and SRB mobility patterns around inlets indicate patterns in hydrodynamic forces that influence redistribution of SRBs and the surface oil that mixed with sediment to form oil mats in the first place.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121234","collaboration":"Prepared in cooperation with the Operational Science Advisory Team (OSAT3) Steering Committee chartered by the Deepwater Horizon Federal On-Scene Coordinator (FOSC)","usgsCitation":"Plant, N.G., Long, J.W., Dalyander, P., Thompson, D.M., and Raabe, E.A., 2013, Application of a hydrodynamic and sediment transport model for guidance of response efforts related to the Deepwater Horizon oil spill in the Northern Gulf of Mexico along the coast of Alabama and Florida (First posted July 2, 2013; Revised and reposted September 4, 2014, version 1.1): U.S. Geological Survey Open-File Report 2012-1234, Report PDF: vii, 47 p.; Report HTML and Digital Data, https://doi.org/10.3133/ofr20121234.","productDescription":"Report PDF: vii, 47 p.; Report HTML and Digital Data","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121234.PNG"},{"id":274405,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1234/pdf/ofr2012-1234.pdf"},{"id":274403,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1234/"},{"id":274404,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1234/title.html"}],"country":"United States","state":"Alabama;Florida","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.2862,29.6323 ], [ -89.2862,30.9921 ], [ -85.3716,30.9921 ], [ -85.3716,29.6323 ], [ -89.2862,29.6323 ] ] ] } } ] }","edition":"First posted July 2, 2013; Revised and reposted September 4, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296cfe4b0ca184833899b","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":480173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":480174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046756,"text":"sir20135067 - 2013 - Water use, availability, and net demand in the Tennessee River watershed within Alabama, 2005","interactions":[],"lastModifiedDate":"2013-07-01T15:49:21","indexId":"sir20135067","displayToPublicDate":"2013-07-01T00:00:00","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":"2013-5067","title":"Water use, availability, and net demand in the Tennessee River watershed within Alabama, 2005","docAbstract":"The U.S. Geological Survey worked in cooperation with the Alabama Department of Economic and Community Affairs—Office of Water Resources to estimate water use and water availability for 2005 for the portion of the Tennessee River watershed contained within the borders of the State of Alabama. Estimates of water use and availability are an important part of planning for population and economic growth in the Tennessee River watershed in Alabama. Total water use for the region in 2005 was 5,197 million gallons per day (Mgal/d). Total surface-water withdrawals were 5,139 Mgal/d, and total groundwater withdrawals were about 58 Mgal/d. About 92 percent of the total water withdrawn was surface water used for once-through cooling for thermoelectric power generation. Self-supplied industrial and public-supply water uses accounted for the next greatest uses of water, constituting approximately 49 and 42 percent, respectively, of the total water use excluding thermoelectric power use.\n\nSummaries of water use by county and subbasin indicated the areas of greatest water withdrawals and use within the Tennessee River watershed. Limestone (2,012 Mgal/d), Jackson (1,498 Mgal/d), and Colbert (1,363 Mgal/d) Counties were the counties with the greatest total water use in 2005 and had large amounts of water withdrawn for thermoelectric power generation. When water use from thermoelectric power generation was not considered, the counties with the greatest withdrawals were Morgan (124 Mgal/d), Madison (72 Mgal/d), Colbert (69 Mgal/d), and Lawrence (67 Mgal/d). The subbasin with the greatest total water use was Wheeler Lake (2,260 Mgal/d) in the Middle Tennessee—Elk subregion. Wheeler Lake subbasin also had the greatest public-supply, irrigation, industrial, mining, and thermoelectric withdrawals of any subbasin in the Tennessee River watershed within Alabama.\n\nTotal water availability for the Tennessee River watershed within Alabama was estimated to be 34,567 Mgal/d by the Geological Survey of Alabama. Net water demand for the watershed was calculated by subtracting the Tennessee Valley Authority estimates of return flow from water withdrawals. The net water demand was 136 Mgal/d, which is less than 1 percent of the estimated water available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135067","collaboration":"Prepared in cooperation with the Alabama Department of Economic and Community Affairs, Office of Water Resources","usgsCitation":"Gill, A.C., Harper, M.J., and Littlepage, T.M., 2013, Water use, availability, and net demand in the Tennessee River watershed within Alabama, 2005: U.S. Geological Survey Scientific Investigations Report 2013-5067, vii, 42 p., https://doi.org/10.3133/sir20135067.","productDescription":"vii, 42 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":274400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135067.gif"},{"id":274397,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5067/"},{"id":274398,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5067/pdf/sir2013-5067.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Tennessee River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.0,30.0 ], [ -87.0,36.0 ], [ -84.0,36.0 ], [ -84.0,30.0 ], [ -87.0,30.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296dbe4b0ca18483389c3","contributors":{"authors":[{"text":"Gill, Amy C. 0000-0002-5738-9390 acgill@usgs.gov","orcid":"https://orcid.org/0000-0002-5738-9390","contributorId":220,"corporation":false,"usgs":true,"family":"Gill","given":"Amy","email":"acgill@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":480167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harper, Michael J.","contributorId":63904,"corporation":false,"usgs":true,"family":"Harper","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Littlepage, Thomas M.","contributorId":55542,"corporation":false,"usgs":true,"family":"Littlepage","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480168,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046341,"text":"cir1390 - 2013 - Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","interactions":[],"lastModifiedDate":"2013-07-01T15:40:19","indexId":"cir1390","displayToPublicDate":"2013-07-01T00:00:00","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":"1390","title":"Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","docAbstract":"n late October 2012, Hurricane Sandy came ashore during a spring high tide on the New Jersey coastline, delivering hurricane-force winds, storm tides exceeding 19 feet, driving rain, and plummeting temperatures. Hurricane Sandy resulted in 72 direct fatalities in the mid-Atlantic and northeastern United States, and widespread and substantial physical, environmental, ecological, social, and economic impacts estimated at near $50 billion. Before the landfall of Hurricane Sandy, the USGS provided forecasts of potential coastal change; collected oblique aerial photography of pre-storm coastal morphology; deployed storm-surge sensors, rapid-deployment streamgages, wave sensors, and barometric pressure sensors; conducted Light Detection And Ranging (lidar) aerial topographic surveys of coastal areas; and issued a landslide alert for landslide prone areas. During the storm, Tidal Telemetry Networks provided real-time water-level information along the coast. Long-term network and rapid-deployment real-time streamgages and water-quality monitors reported on river levels and changes in water quality. Immediately after the storm, the USGS serviced real-time instrumentation, retrieved data from over 140 storm-surge sensors, and collected other essential environmental data, including more than 830 high-water marks mapping the extent and elevation of the storm surge. Post-storm lidar surveys documented storm impacts to coastal barriers informing response and recovery and providing a new baseline to assess vulnerability of the reconfigured coast. The USGS Hazard Data Distribution System served storm related information from many agencies on the Internet on a daily basis. This science plan was developed immediately following Hurricane Sandy to coordinate continuing USGS activities with other agencies and to guide continued data collection and analysis to ensure support for recovery and restoration efforts. The data, information, and tools that are produced by implementing this plan will: (1) further characterize impacts and changes, (2) guide mitigation and restoration of impacted communities and ecosystems, (3) inform a redevelopment strategy aimed at developing resilient coastal communities and ecosystems, (4) improve preparedness and responsiveness to the next hurricane or similar coastal disaster, and (5) enable improved hazard assessment, response, and recovery for future storms along the hurricane prone shoreline of the United States. The activities outlined in this plan are organized in five themes based on impact types and information needs. These USGS science themes are: Theme 1: Coastal topography and bathymetry. Theme 2: Impacts to coastal beaches and barriers. Theme 3: Impacts of storm surge and estuarine and bay hydrology. Theme 4: Impacts on environmental quality and persisting contaminant exposures. Theme 5: Impacts to coastal ecosystems, habitats, and fish and wildlife. A major emphasis in the implementation of this plan will be on interacting with stakeholders to better understand their specific data and information needs, to define the best way to make information available, and to support applications of USGS science and expertise to decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1390","usgsCitation":"Buxton, H.T., Andersen, M.E., Focazio, M.J., Haines, J.W., Hainly, R.A., Hippe, D.J., and Sugarbaker, L.J., 2013, Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery: U.S. Geological Survey Circular 1390, vi, 26 p., https://doi.org/10.3133/cir1390.","productDescription":"vi, 26 p.","numberOfPages":"32","additionalOnlineFiles":"N","ipdsId":"IP-046133","costCenters":[{"id":507,"text":"Office of the AD Energy and Mineralsand Environmental Health","active":false,"usgs":true}],"links":[{"id":274399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1390.gif"},{"id":274393,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1390/circ1390.pdf"},{"id":274392,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1390/"}],"country":"United States","state":"Connecticut;Delaware;Maine;Maryl;Massachusetts;New Hampshire;New Jersey;New York;Pennsylvania;Rhode Island;Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.94,36.87 ], [ -77.94,43.86 ], [ -69.62,43.86 ], [ -69.62,36.87 ], [ -77.94,36.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389a3","contributors":{"authors":[{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":479519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":479514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":479513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hainly, Robert A. rahainly@usgs.gov","contributorId":1679,"corporation":false,"usgs":true,"family":"Hainly","given":"Robert","email":"rahainly@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hippe, Daniel J. djhippe@usgs.gov","contributorId":2281,"corporation":false,"usgs":true,"family":"Hippe","given":"Daniel","email":"djhippe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":479517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sugarbaker, Larry J. lsugarbaker@usgs.gov","contributorId":3079,"corporation":false,"usgs":true,"family":"Sugarbaker","given":"Larry","email":"lsugarbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":479518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044221,"text":"70044221 - 2013 - Metrically preserving the USGS aerial film archive","interactions":[],"lastModifiedDate":"2013-07-01T11:50:17","indexId":"70044221","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Metrically preserving the USGS aerial film archive","docAbstract":"Since 1972, the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, South Dakota, has provided fi lm-based products to the public. EROS is home to an archive of 12 million frames of analog photography ranging from 1937 to the present. The archive contains collections from both aerial and satellite platforms including programs such as the National High Altitude Program (NHAP), National Aerial Photography Program (NAPP), U.S. Antarctic Resource Center (USARC), Declass 1(CORONA, ARGON, and LANYARD), Declass 2 (KH-7 and KH-9), and Landsat (1972 – 1992, Landsat 1–5).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASPRS","usgsCitation":"Moe, D., and Longhenry, R., 2013, Metrically preserving the USGS aerial film archive: Photogrammetric Engineering and Remote Sensing, v. 79, no. 3, p. 225-228.","productDescription":"4 p.","startPage":"225","endPage":"228","ipdsId":"IP-042507","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":274358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274357,"type":{"id":11,"text":"Document"},"url":"https://digital.ipcprintservices.com/publication/?i=147261"}],"volume":"79","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389a7","contributors":{"authors":[{"text":"Moe, Donald dmoe@usgs.gov","contributorId":3761,"corporation":false,"usgs":true,"family":"Moe","given":"Donald","email":"dmoe@usgs.gov","affiliations":[],"preferred":true,"id":475130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longhenry, Ryan 0000-0002-9995-3690 rlonghenry@usgs.gov","orcid":"https://orcid.org/0000-0002-9995-3690","contributorId":4012,"corporation":false,"usgs":true,"family":"Longhenry","given":"Ryan","email":"rlonghenry@usgs.gov","affiliations":[],"preferred":true,"id":475131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171352,"text":"70171352 - 2013 - Carcass analog addition enhances juvenile Atlantic salmon (<i>Salmo salar</i>) growth and condition","interactions":[],"lastModifiedDate":"2016-05-30T12:55:26","indexId":"70171352","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Carcass analog addition enhances juvenile Atlantic salmon (<i>Salmo salar</i>) growth and condition","docAbstract":"<p><span>Our study used historic marine-derived nutrient (MDN) delivery timing to simulate potential effects of restored connectivity on juvenile Atlantic salmon (ATS;&nbsp;</span><i>Salmo salar</i><span>) growth and condition. Four headwater streams were stocked with ATS young of the year (YOY) and received carcass analog additions (0.10 kg&middot;m</span><sup>&ndash;2</sup><span>&nbsp;wetted area) in treatment reaches to match the timing of sea lamprey (</span><i>Petromyzon marinus</i><span>) spawning. Individual ATS mass was 33%&ndash;48% greater and standard length was 9%&ndash;15% greater in treatment reaches relative to control reaches for 4 months following nutrient additions. Percent total lipids in YOY ATS were twice as great in treatment reaches 1 month following carcass analog additions and remained elevated in treatment fish for 2 more months. Absolute growth rates, based on otolith microstructure analysis, correlated with water temperature fluctuations in all reaches and were elevated by an average of 0.07 mm&middot;day</span><sup>&ndash;1</sup><span>&nbsp;in treatment reaches for 1 month following carcass analog additions. Simulated sea lamprey MDNs increased juvenile ATS growth, which, via potential increases in overwinter survival and decreases in smolt age, may contribute to population persistence and ecosystem productivity.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2012-0496","usgsCitation":"Guyette, M.Q., Loftin, C., and Zydlewski, J.D., 2013, Carcass analog addition enhances juvenile Atlantic salmon (<i>Salmo salar</i>) growth and condition: Canadian Journal of Fisheries and Aquatic Sciences, v. 70, no. 6, p. 860-870, https://doi.org/10.1139/cjfas-2012-0496.","productDescription":"11 p.","startPage":"860","endPage":"870","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040638","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d6451e4b07e28b66835e9","contributors":{"authors":[{"text":"Guyette, Margaret Q.","contributorId":169712,"corporation":false,"usgs":false,"family":"Guyette","given":"Margaret","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":630802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":630803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":630696,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186029,"text":"70186029 - 2013 - Strontium in 2012","interactions":[],"lastModifiedDate":"2017-03-31T10:16:28","indexId":"70186029","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Strontium in 2012","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"SME","usgsCitation":"Ober, J.A., 2013, Strontium in 2012: Mining Engineering, v. 65, no. 7, p. 40-40.","productDescription":"1 p.","startPage":"40","endPage":"40","ipdsId":"IP-044734","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":338917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338916,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=3521&page=40"}],"volume":"65","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58df6ac8e4b02ff32c6aea6d","contributors":{"authors":[{"text":"Ober, Joyce A. 0000-0003-1608-5611 jober@usgs.gov","orcid":"https://orcid.org/0000-0003-1608-5611","contributorId":394,"corporation":false,"usgs":true,"family":"Ober","given":"Joyce","email":"jober@usgs.gov","middleInitial":"A.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":687393,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}