{"pageNumber":"697","pageRowStart":"17400","pageSize":"25","recordCount":46666,"records":[{"id":70032420,"text":"70032420 - 2011 - Residence time and movements of postbreeding shorebirds on the northern coast of Alaska","interactions":[],"lastModifiedDate":"2017-11-15T11:30:38","indexId":"70032420","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Residence time and movements of postbreeding shorebirds on the northern coast of Alaska","docAbstract":"<p><span>Relatively little is known about shorebird movements across the coast of northern Alaska, yet postbreeding shorebirds use this coastline extensively prior to fall migration. We deployed 346 radio transmitters on 153 breeding and 193 postbreeding shorebirds of five species from 2005 to 2007.We examined two hypotheses regarding postbreeding shorebirds' movements: (1) whether such movements reflect ultimate routes of southbound migration and (2) whether migration strategy (length of flights) or timing of molt in relation to migration (molt occurring in breeding or winter range) are more influential in determining postbreeding shorebirds' behavior. Semipalmated Sandpipers (</span><i>Calidris pusilla</i><span>) moved east, consistent with the direction of their ultimate migration, but patterns of other species' movements did not reflect ultimate migration direction. Timing of postnuptial molt appeared to have more influence over residence time and movements than did migration strategy. Postcapture residence time for the Semipalmated Sandpiper was less than for the Western Sandpiper (</span><i>C. mauri</i><span>) and significantly less than for Dunlin (</span><i>C. alpina</i><span>), and the Semipalmated Sandpiper's movements between were quicker and more frequent than those of the Dunlin. We expected to see the opposite patterns if migration strategy were more influential. Our data shed light on how different shorebird species use the northern Alaska coast after breeding: most species are likely to be stopping over at postbreeding areas, whereas the Dunlin and some Western Sandpipers may be staging. We suggest the coast of northern Alaska be viewed as an interconnected network of postbreeding sites that serve multiple populations of breeding shorebirds.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/cond.2011.100083","issn":"00105422","usgsCitation":"Taylor, A.R., Lanctot, R., Powell, A.N., Kendall, S.J., and Nigro, D.A., 2011, Residence time and movements of postbreeding shorebirds on the northern coast of Alaska: The Condor, v. 113, no. 4, p. 779-794, https://doi.org/10.1525/cond.2011.100083.","productDescription":"16 p.","startPage":"779","endPage":"794","numberOfPages":"16","ipdsId":"IP-021222","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":475218,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100083","text":"Publisher Index Page"},{"id":241441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213783,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2011.100083"}],"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              -166.46484375,\n              68.67254350285471\n            ],\n            [\n              -140.9765625,\n              68.67254350285471\n            ],\n            [\n              -140.9765625,\n              71.51097803770108\n            ],\n            [\n              -166.46484375,\n              71.51097803770108\n            ],\n            [\n              -166.46484375,\n              68.67254350285471\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"113","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa970e4b0c8380cd85dc9","contributors":{"authors":[{"text":"Taylor, Audrey R.","contributorId":10396,"corporation":false,"usgs":false,"family":"Taylor","given":"Audrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":436072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanctot, Richard B.","contributorId":77879,"corporation":false,"usgs":false,"family":"Lanctot","given":"Richard B.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":436075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":436074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Steven J.","contributorId":30911,"corporation":false,"usgs":false,"family":"Kendall","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":436076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nigro, Debora A.","contributorId":10628,"corporation":false,"usgs":false,"family":"Nigro","given":"Debora","email":"","middleInitial":"A.","affiliations":[{"id":12934,"text":"Bureau of Land Management, Arctic Field Office","active":true,"usgs":false}],"preferred":false,"id":436073,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032440,"text":"70032440 - 2011 - USGS \"Did You Feel It?\" internet-based macroseismic intensity maps","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032440","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":793,"text":"Annals of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"USGS \"Did You Feel It?\" internet-based macroseismic intensity maps","docAbstract":"The U.S. Geological Survey (USGS) \"Did You Feel It?\" (DYFI) system is an automated approach for rapidly collecting macroseismic intensity data from Internet users' shaking and damage reports and generating intensity maps immediately following earthquakes; it has been operating for over a decade (1999-2011). DYFI-based intensity maps made rapidly available through the DYFI system fundamentally depart from more traditional maps made available in the past. The maps are made more quickly, provide more complete coverage and higher resolution, provide for citizen input and interaction, and allow data collection at rates and quantities never before considered. These aspects of Internet data collection, in turn, allow for data analyses, graphics, and ways to communicate with the public, opportunities not possible with traditional data-collection approaches. Yet web-based contributions also pose considerable challenges, as discussed herein. After a decade of operational experience with the DYFI system and users, we document refinements to the processing and algorithmic procedures since DYFI was first conceived. We also describe a number of automatic post-processing tools, operations, applications, and research directions, all of which utilize the extensive DYFI intensity datasets now gathered in near-real time. DYFI can be found online at the website http://earthquake.usgs.gov/dyfi/. ?? 2011 by the Istituto Nazionale di Geofisica e Vulcanologia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.4401/ag-5354","issn":"15935213","usgsCitation":"Wald, D., Quitoriano, V., Worden, B., Hopper, M., and Dewey, J.W., 2011, USGS \"Did You Feel It?\" internet-based macroseismic intensity maps: Annals of Geophysics, v. 54, no. 6, p. 688-707, https://doi.org/10.4401/ag-5354.","startPage":"688","endPage":"707","numberOfPages":"20","costCenters":[],"links":[{"id":475086,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4401/ag-5354","text":"Publisher Index Page"},{"id":213631,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4401/ag-5354"},{"id":241277,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-01-14","publicationStatus":"PW","scienceBaseUri":"505bbb84e4b08c986b32868d","contributors":{"authors":[{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":436197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quitoriano, V.","contributorId":22519,"corporation":false,"usgs":true,"family":"Quitoriano","given":"V.","email":"","affiliations":[],"preferred":false,"id":436194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Worden, B.","contributorId":15842,"corporation":false,"usgs":true,"family":"Worden","given":"B.","email":"","affiliations":[],"preferred":false,"id":436193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopper, M.","contributorId":25999,"corporation":false,"usgs":true,"family":"Hopper","given":"M.","affiliations":[],"preferred":false,"id":436195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dewey, J. W.","contributorId":31008,"corporation":false,"usgs":true,"family":"Dewey","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":436196,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032445,"text":"70032445 - 2011 - Mapping and monitoring Louisiana's mangroves in the aftermath of the 2010 Gulf of Mexico Oil spill","interactions":[],"lastModifiedDate":"2017-04-06T12:32:38","indexId":"70032445","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Mapping and monitoring Louisiana's mangroves in the aftermath of the 2010 Gulf of Mexico Oil spill","docAbstract":"<p><span>Information regarding the present condition, historical status, and dynamics of mangrove forests is needed to study the impacts of the Gulf of Mexico oil spill and other stressors affecting mangrove ecosystems. Such information is unavailable for Louisiana at sufficient spatial and thematic detail. We prepared mangrove forest distribution maps of Louisiana (prior to the oil spill) at 1&nbsp;m and 30&nbsp;m spatial resolution using aerial photographs and Landsat satellite data, respectively. Image classification was performed using a decision-tree classification approach. We also prepared land-cover change pairs for 1983, 1984, and every 2&nbsp;y from 1984 to 2010 depicting “ecosystem shifts” (e.g., expansion, retraction, and disappearance). This new spatiotemporal information could be used to assess short-term and long-term impacts of the oil spill on mangroves. Finally, we propose an operational methodology based on remote sensing (Landsat, Advanced Spaceborne Thermal Emission and Reflection Radiometer [ASTER], hyperspectral, light detection and ranging [LIDAR], aerial photographs, and field inventory data) to monitor the existing and emerging mangrove areas and their disturbance and regrowth patterns. Several parameters such as spatial distribution, ecosystem shifts, species composition, and tree height/biomass could be measured to assess the impact of the oil spill and mangrove recovery and restoration. Future research priorities will be to quantify the impacts and recovery of mangroves considering multiple stressors and perturbations, including oil spill, winter freeze, sea-level rise, land subsidence, and land-use/land-cover change for the entire Gulf Coast.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-11-00028.1","issn":"07490208","usgsCitation":"Giri, S., Long, J., and Tieszen, L., 2011, Mapping and monitoring Louisiana's mangroves in the aftermath of the 2010 Gulf of Mexico Oil spill: Journal of Coastal Research, v. 27, no. 6, p. 1059-1064, https://doi.org/10.2112/JCOASTRES-D-11-00028.1.","productDescription":"6 p.","startPage":"1059","endPage":"1064","numberOfPages":"6","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213689,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/JCOASTRES-D-11-00028.1"}],"volume":"27","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5050e4b0c8380cd6b5d2","contributors":{"authors":[{"text":"Giri, S.","contributorId":102621,"corporation":false,"usgs":true,"family":"Giri","given":"S.","email":"","affiliations":[],"preferred":false,"id":436223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, J.","contributorId":41993,"corporation":false,"usgs":true,"family":"Long","given":"J.","affiliations":[],"preferred":false,"id":436222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tieszen, L.","contributorId":22887,"corporation":false,"usgs":true,"family":"Tieszen","given":"L.","email":"","affiliations":[],"preferred":false,"id":436221,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032446,"text":"70032446 - 2011 - Shortnose sturgeon use small coastal rivers: The importance of habitat connectivity","interactions":[],"lastModifiedDate":"2017-11-14T14:29:32","indexId":"70032446","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Shortnose sturgeon use small coastal rivers: The importance of habitat connectivity","docAbstract":"<p><span>Contrary to conventional wisdom for shortnose sturgeon (</span><i>Acipenser brevirostrum</i><span>), we document shortnose sturgeon use of habitats beyond large rivers. Telemetry data from 2008 to 2010 in the Gulf of Maine demonstrates that adult shortnose sturgeon (up to 70%) frequently move between Maine’s two largest rivers, the Kennebec and Penobscot Rivers. Even more interesting, small rivers located between these watersheds were used by 52% of the coastal migrants. Small river use was not trivial, 80% of observed movements extended more than 10&nbsp;km upstream. However, visits were short in duration. This pattern indicates one of several possibilities: directed use of resources, searching behaviors related to reproduction (i.e. straying) or undirected wandering. Data suggest a relationship between residence time in small rivers and distance to the lowermost barrier. Restoring connectivity to upstream habitats in these rivers could allow opportunities for metapopulation expansion. Regional management of shortnose sturgeon in the Gulf of Maine should incorporate a habitat framework that considers small coastal rivers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2011.01826.x","issn":"01758659","usgsCitation":"Zydlewski, G., Kinnison, M., Dionne, P., Zydlewski, J.D., and Wippelhauser, G.S., 2011, Shortnose sturgeon use small coastal rivers: The importance of habitat connectivity: Journal of Applied Ichthyology, v. 27, no. s2, p. 41-44, https://doi.org/10.1111/j.1439-0426.2011.01826.x.","productDescription":"4 p.","startPage":"41","endPage":"44","numberOfPages":"4","ipdsId":"IP-028647","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":241342,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213690,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2011.01826.x"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.1422119140625,\n              43.6599240747891\n            ],\n            [\n              -68.52996826171875,\n              43.6599240747891\n            ],\n            [\n              -68.52996826171875,\n              44.88506649401471\n            ],\n            [\n              -70.1422119140625,\n              44.88506649401471\n            ],\n            [\n              -70.1422119140625,\n              43.6599240747891\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"s2","noUsgsAuthors":false,"publicationDate":"2011-12-05","publicationStatus":"PW","scienceBaseUri":"505b8ee4e4b08c986b318be6","contributors":{"authors":[{"text":"Zydlewski, Gayle B.","contributorId":139211,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle B.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":436226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, M.T.","contributorId":85410,"corporation":false,"usgs":true,"family":"Kinnison","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":436228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dionne, P.E.","contributorId":83747,"corporation":false,"usgs":true,"family":"Dionne","given":"P.E.","email":"","affiliations":[],"preferred":false,"id":436227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":436224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":436225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032451,"text":"70032451 - 2011 - Nest-site fidelity and dispersal of Gyrfalcons estimated by noninvasive genetic sampling","interactions":[],"lastModifiedDate":"2018-08-20T18:13:48","indexId":"70032451","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Nest-site fidelity and dispersal of Gyrfalcons estimated by noninvasive genetic sampling","docAbstract":"We used feathers from adult Gyrfalcons (Falco rusticolus) molted in breeding territories and blood samples from nestlings to document nest-site fidelity and dispersal of breeding adults and juveniles at three areas 100- 350 km apart in Yukon Delta National Wildlife Refuge, Alaska, 2003-2007. We used genotypes from seven polymorphic microsatellite loci that provided a mean probability of identity of 0.91 ??10  -5. Breeding Gyrfalcons were highly faithful to study area and territory; we documented no dispersals of breeding birds among study areas and only one dispersal between territories. But their fidelity to nest sites was low; 22% of birds returned to the same nest site the following year. Distance among alternate nests within a territory averaged 750 m and was similar for both sexes. Mean tenure in a territory was 2.8 years, similar for both sexes, and distributed bimodally with peaks at 1 and 4 years. Mean annual turnover rate at the Ingakslugwat Hills (Volcanoes) study area was 20%. We detected three young that established breeding territories at distances ranging from 0 to 254 km from their natal territory, representing 2.5% apparent recruitment. Gyrfalcons in the Askinuk Mountains study area were slightly but statistically significantly differentiated genetically from those in the Volcanoes and Kilbuck Mountain study areas. These data are the first published on the nest-site fidelity, breeding dispersal, and natal dispersal of the Gyrfalcon in North America and demonstrate the utility of noninvasive genetic sampling to greatly improve our understanding of avian dispersal and its underlying mechanisms. ?? The Cooper Ornithological Society 2011.","largerWorkTitle":"Condor","language":"English","doi":"10.1525/cond.2011.100178","issn":"00105422","usgsCitation":"Booms, T.L., Talbot, S.L., Sage, G.K., McCaffery, B.J., McCracken, K.G., and Schempf, P.F., 2011, Nest-site fidelity and dispersal of Gyrfalcons estimated by noninvasive genetic sampling, <i>in</i> Condor, v. 113, no. 4, p. 768-778, https://doi.org/10.1525/cond.2011.100178.","startPage":"768","endPage":"778","numberOfPages":"11","costCenters":[],"links":[{"id":475144,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100178","text":"Publisher Index Page"},{"id":241442,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213784,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2011.100178"}],"volume":"113","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a64a9e4b0c8380cd72a18","contributors":{"authors":[{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":436241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":436242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":436240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffery, Brian J.","contributorId":37617,"corporation":false,"usgs":true,"family":"McCaffery","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":436244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCracken, Kevin G.","contributorId":72309,"corporation":false,"usgs":false,"family":"McCracken","given":"Kevin","email":"","middleInitial":"G.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":436239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schempf, Philip F.","contributorId":36795,"corporation":false,"usgs":true,"family":"Schempf","given":"Philip","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":436243,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036225,"text":"70036225 - 2011 - Quantification of a greenhouse hydrologic cycle from equatorial to polar latitudes: The mid-Cretaceous water bearer revisited","interactions":[],"lastModifiedDate":"2021-01-25T18:10:50.829732","indexId":"70036225","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of a greenhouse hydrologic cycle from equatorial to polar latitudes: The mid-Cretaceous water bearer revisited","docAbstract":"<p id=\"sp0060\">This study aims to investigate the global hydrologic cycle during the mid-Cretaceous greenhouse by utilizing the oxygen isotopic composition of pedogenic carbonates (calcite and siderite) as proxies for the oxygen isotopic composition of precipitation. The data set builds on the Aptian–Albian sphaerosiderite δ<sup>18</sup>O data set presented by Ufnar et al. (2002) by incorporating additional low latitude data including pedogenic and early meteoric diagenetic calcite δ<sup>18</sup>O. Ufnar et al. (2002) used the proxy data derived from the North American Cretaceous Western Interior Basin (KWIB) in a mass balance model to estimate precipitation–evaporation fluxes. We have revised this mass balance model to handle sphaerosiderite and calcite proxies, and to account for longitudinal travel by tropical air masses. We use empirical and general circulation model (GCM) temperature gradients for the mid-Cretaceous, and the empirically derived δ<sup>18</sup>O composition of groundwater as constraints in our mass balance model. Precipitation flux, evaporation flux, relative humidity, seawater composition, and continental feedback are adjusted to generate model calculated groundwater δ<sup>18</sup>O compositions (proxy for precipitation δ<sup>18</sup>O) that match the empirically-derived groundwater δ<sup>18</sup>O compositions to within ±&nbsp;0.5‰. The model is calibrated against modern precipitation data sets.</p><p id=\"sp0065\">Four different Cretaceous temperature estimates were used: the leaf physiognomy estimates of Wolfe and Upchurch (1987) and Spicer and Corfield (1992), the coolest and warmest Cretaceous estimates compiled by Barron (1983) and model outputs from the GENESIS-MOM GCM by Zhou et al. (2008). Precipitation and evaporation fluxes for all the Cretaceous temperature gradients utilized in the model are greater than modern precipitation and evaporation fluxes. Balancing the model also requires relative humidity in the subtropical dry belt to be significantly reduced. As expected calculated precipitation rates are all greater than modern precipitation rates. Calculated global average precipitation rates range from 371&nbsp;mm/year to 1196&nbsp;mm/year greater than modern precipitation rates. Model results support the hypothesis that increased rainout produces δ<sup>18</sup>O-depleted precipitation.</p><p id=\"sp0070\">Sensitivity testing of the model indicates that the amount of water vapor in the air mass, and its origin and pathway, significantly affect the oxygen isotopic composition of precipitation. Precipitation δ<sup>18</sup>O is also sensitive to seawater δ<sup>18</sup>O and enriched tropical seawater was necessary to simulate proxy data (consistent with fossil and geologic evidence for a warmer and evaporatively enriched Tethys). Improved constraints in variables such as seawater δ<sup>18</sup>O can help improve boundary conditions for mid-Cretaceous climate simulations.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.05.027","issn":"00310182","usgsCitation":"Suarez, M., Gonzalez, L.A., and Ludvigson, G.A., 2011, Quantification of a greenhouse hydrologic cycle from equatorial to polar latitudes: The mid-Cretaceous water bearer revisited: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 307, no. 1-4, p. 301-312, https://doi.org/10.1016/j.palaeo.2011.05.027.","productDescription":"12 p.","startPage":"301","endPage":"312","costCenters":[],"links":[{"id":246306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218307,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.05.027"}],"volume":"307","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91a6e4b0c8380cd80398","contributors":{"authors":[{"text":"Suarez, M.B.","contributorId":18589,"corporation":false,"usgs":true,"family":"Suarez","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":454979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Luis A.","contributorId":20922,"corporation":false,"usgs":true,"family":"Gonzalez","given":"Luis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":454980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludvigson, Greg A.","contributorId":80803,"corporation":false,"usgs":true,"family":"Ludvigson","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":454981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032472,"text":"70032472 - 2011 - Three-dimensional surface deformation mapping by convensional interferometry and multiple aperture interferometry","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70032472","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Three-dimensional surface deformation mapping by convensional interferometry and multiple aperture interferometry","docAbstract":"Interferometric synthetic aperture radar (InSAR) technique has been successfully used for mapping surface deformations [1-2], but it has been normally limited to a measurement along the radar line-of-sight (LOS) direction. For this reason, it is impossible to determine the north (N-S) component of surface deformation because of using data from near-polar orbiting satellites, and it is not sufficient to resolve the parameters of models for earthquakes and volcanic activities because there is a marked trade-off among model parameters [3]. ?? 2011 KIEES.","largerWorkTitle":"2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011","conferenceTitle":"2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011","conferenceDate":"26 September 2011 through 30 September 2011","conferenceLocation":"Seoul","language":"English","isbn":"9788993246179","usgsCitation":"Jung, H., Lu, Z., and Lee, C., 2011, Three-dimensional surface deformation mapping by convensional interferometry and multiple aperture interferometry, <i>in</i> 2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011, Seoul, 26 September 2011 through 30 September 2011, p. 30-31.","startPage":"30","endPage":"31","numberOfPages":"2","costCenters":[],"links":[{"id":241754,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb34ae4b08c986b325cd0","contributors":{"authors":[{"text":"Jung, H.-S.","contributorId":41068,"corporation":false,"usgs":true,"family":"Jung","given":"H.-S.","email":"","affiliations":[],"preferred":false,"id":436361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":436362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, C.-W.","contributorId":31901,"corporation":false,"usgs":true,"family":"Lee","given":"C.-W.","email":"","affiliations":[],"preferred":false,"id":436360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032474,"text":"70032474 - 2011 - Forecasting carbon budget under climate change and CO 2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032474","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3100,"text":"Polish Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting carbon budget under climate change and CO 2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model","docAbstract":"The regional carbon budget of the climatic transition zone may be very sensitive to climate change and increasing atmospheric CO 2 concentrations. This study simulated the carbon cycles under these changes using process-based ecosystem models. The Integrated Biosphere Simulator (IBIS), a Dynamic Global Vegetation Model (DGVM), was used to evaluate the impacts of climate change and CO 2 fertilization on net primary production (NPP), net ecosystem production (NEP), and the vegetation structure of terrestrial ecosystems in Zhejiang province (area 101,800 km 2, mainly covered by subtropical evergreen forest and warm-temperate evergreen broadleaf forest) which is located in the subtropical climate area of China. Two general circulation models (HADCM3 and CGCM3) representing four IPCC climate change scenarios (HC3AA, HC3GG, CGCM-sresa2, and CGCM-sresb1) were used as climate inputs for IBIS. Results show that simulated historical biomass and NPP are consistent with field and other modelled data, which makes the analysis of future carbon budget reliable. The results indicate that NPP over the entire Zhejiang province was about 55 Mt C yr -1 during the last half of the 21 st century. An NPP increase of about 24 Mt C by the end of the 21 st century was estimated with the combined effects of increasing CO 2 and climate change. A slight NPP increase of about 5 Mt C was estimated under the climate change alone scenario. Forests in Zhejiang are currently acting as a carbon sink with an average NEP of about 2.5 Mt C yr -1. NEP will increase to about 5 Mt C yr -1 by the end of the 21 st century with the increasing atmospheric CO 2 concentration and climate change. However, climate change alone will reduce the forest carbon sequestration of Zhejiang's forests. Future climate warming will substantially change the vegetation cover types; warm-temperate evergreen broadleaf forest will be gradually substituted by subtropical evergreen forest. An increasing CO 2 concentration will have little contribution to vegetation changes. Simulated NPP shows geographic patterns consistent with temperature to a certain extent, and precipitation is not the limiting factor for forest NPP in the subtropical climate conditions. There is no close relationship between the spatial pattern of NEP and climate condition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Polish Journal of Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"15052249","usgsCitation":"Zhu, Q., Jiang, H., Liu, J., Peng, C., Fang, X., Yu, S., Zhou, G., Wei, X., and Ju, W., 2011, Forecasting carbon budget under climate change and CO 2 fertilization for subtropical region in China using integrated biosphere simulator (IBIS) model: Polish Journal of Ecology, v. 59, no. 1, p. 3-24.","startPage":"3","endPage":"24","numberOfPages":"22","costCenters":[],"links":[{"id":241247,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1314e4b0c8380cd544f0","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":436375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":436374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":436369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":436373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":436371,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":436370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":436368,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":436372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ju, W.","contributorId":10627,"corporation":false,"usgs":true,"family":"Ju","given":"W.","email":"","affiliations":[],"preferred":false,"id":436367,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70032477,"text":"70032477 - 2011 - Could residual oil from the Exxon Valdez spill create a long-term population \"sink\" for sea otters in Alaska?","interactions":[],"lastModifiedDate":"2017-06-28T15:08:51","indexId":"70032477","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Could residual oil from the Exxon Valdez spill create a long-term population \"sink\" for sea otters in Alaska?","docAbstract":"Over 20 years ago, the Exxon Valdez oil tanker spilled 42 million L of crude oil into the waters of Prince William Sound, Alaska, USA. At the time of the spill, the sea otter (Enhydra lutris) population inhabiting the spill area suffered substantial acute injuries and loss. Subsequent research has resulted in one of the best-studied species responses to an oil spill in history. However, the question remains: Is the spill still influencing the Prince William Sound sea otter population? Here we fit time-varying population models to data for the sea otter population of western Prince William Sound to quantify the duration and extent of mortality effects from the spill. We hypothesize that the patchy nature of residual oil left in the environment has created a source-sink population dynamic. We fit models using the age distributions of both living and dying animals and estimates of sea otter population size to predict the number of sea otters in the hypothesized sink population and the number lost to this sink due to chronic exposure to residual oil. Our results suggest that the sink population has remained at just over 900 individuals (95% CI: 606-960) between 1990 and 2009, during which time prime-age survival remained 2-6% below pre-spill levels. This reduced survival led to chronic losses of ???900 animals over the past two decades, which is similar in magnitude to the number of sea otter deaths documented in western Prince William Sound during the acute phase of the spill. However, the unaffected source population appears to be counterbalancing these losses, with the model indicating that the sea otter population increased from ???2150 individuals in 1990 to nearly 3000 in 2009. The most optimistic interpretation of our results suggests that mortality effects dissipated between 2005 and 2007. Our results suggest that residual oil can affect wildlife populations on time scales much longer than previously believed and that cumulative chronic effects can be as significant as acute effects. Further, source-sink population dynamics can explain the slow recovery observed in the spill-affected western Prince William Sound sea otter population and are consistent with available data. ??2011 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/11-0152.1","issn":"10510761","usgsCitation":"Monson, D., Doak, D.F., Ballachey, B.E., and Bodkin, J.L., 2011, Could residual oil from the Exxon Valdez spill create a long-term population \"sink\" for sea otters in Alaska?: Ecological Applications, v. 21, no. 8, p. 2917-2932, https://doi.org/10.1890/11-0152.1.","startPage":"2917","endPage":"2932","numberOfPages":"16","costCenters":[],"links":[{"id":487755,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/11-0152.1","text":"Publisher Index Page"},{"id":241343,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fc83e4b0c8380cd4e2be","contributors":{"authors":[{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":436387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doak, Daniel F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":436388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":436386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":436385,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032481,"text":"70032481 - 2011 - Beach monitoring criteria: reading the fine print","interactions":[],"lastModifiedDate":"2013-02-05T15:49:14","indexId":"70032481","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Beach monitoring criteria: reading the fine print","docAbstract":"Beach monitoring programs aim to decrease swimming-related illnesses resulting from exposure to harmful microbes in recreational waters, while providing maximum beach access. Managers are advised by the U.S. EPA to estimate microbiological water quality based on a 5-day geometric mean of fecal indicator bacteria (FIB) concentrations or on a jurisdiction-specific single-sample maximum; however, most opt instead to apply a default single-sample maximum to ease application. We examined whether re-evaluation of the U.S. EPA ambient water quality criteria (AWQC) and the epidemiological studies on which they are based could increase public beach access without affecting presumed health risk. Single-sample maxima were calculated using historic monitoring data for 50 beaches along coastal Lake Michigan on various temporal and spatial groupings to assess flexibility in the application of the AWQC. No calculation on either scale was as low as the default maximum (235 CFU/100 mL) that managers typically use, indicating that current applications may be more conservative than the outlined AWQC. It was notable that beaches subject to point source FIB contamination had lower variation, highlighting the bias in the standards for these beaches. Until new water quality standards are promulgated, more site-specific application of the AWQC may benefit beach managers by allowing swimmers greater access to beaches. This issue will be an important consideration in addressing the forthcoming beach monitoring standards.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications (American Chemical Society)","publisherLocation":"Washington, D.C.","doi":"10.1021/es202568f","issn":"0013936X","usgsCitation":"Nevers, M.B., and Whitman, R.L., 2011, Beach monitoring criteria: reading the fine print: Environmental Science & Technology, v. 45, no. 24, p. 10315-10321, https://doi.org/10.1021/es202568f.","productDescription":"7 p.","startPage":"10315","endPage":"10321","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":213752,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es202568f"},{"id":241409,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"45","issue":"24","noUsgsAuthors":false,"publicationDate":"2011-11-17","publicationStatus":"PW","scienceBaseUri":"5059f02fe4b0c8380cd4a62f","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":436406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":436405,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032485,"text":"70032485 - 2011 - An improved understanding of the Alaska coastal current: The application of a bivalve growth-temperature model to reconstruct freshwater-influenced paleoenvironments","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032485","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3000,"text":"Palaios","active":true,"publicationSubtype":{"id":10}},"title":"An improved understanding of the Alaska coastal current: The application of a bivalve growth-temperature model to reconstruct freshwater-influenced paleoenvironments","docAbstract":"Shells of intertidal bivalve mollusks contain sub-seasonally to interannually resolved records of temperature and salinity variations in coastal settings. Such data are essential to understand changing land-sea interactions through time, specifically atmospheric (precipitation rate, glacial meltwater, river discharge) and oceanographic circulation patterns; however, independent temperature and salinity proxies are currently not available. We established a model for reconstructing daily water temperatures with an average standard error of ???1.3 ??C based on variations in the width of lunar daily growth increments of Saxidomus gigantea from southwestern Alaska, United States. Temperature explains 70% of the variability in shell growth. When used in conjunction with stable oxygen isotope data, this approach can also be used to identify changes in past seawater salinity. This study provides a better understanding of the hydrological changes related to the Alaska Coastal Current (ACC). In combination with ??18Oshell values, increment-derived temperatures were used to estimate salinity changes with an average error of 1.4 ?? 1.1 PSU. Our model was calibrated and tested with modern shells and then applied to archaeological specimens. As derived from the model, the time interval of 988-1447 cal yr BP was characterized by ???1-2 ??C colder and much drier (2-5 PSU) summers. During that time, the ACC was likely flowing much more slowly than at present. In contrast, between 599-1014 cal yr BP, the Aleutian low may have been stronger, which resulted in a 3 ??C temperature decrease during summers and 1-2 PSU fresher conditions than today; the ACC was probably flowing more quickly at that time. The shell growth-temperature model can be used to estimate seasonal to interannual salinity and temperature changes in freshwater-influenced environments through time. ?? 2011 SEPM (Society for Sedimentary Geology).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaios","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2110/palo.2010.p10-151r","issn":"08831351","usgsCitation":"Hallmann, N., Schone, B., Irvine, G., Burchell, M., Cokelet, E., and Hilton, M., 2011, An improved understanding of the Alaska coastal current: The application of a bivalve growth-temperature model to reconstruct freshwater-influenced paleoenvironments: Palaios, v. 26, no. 6, p. 346-363, https://doi.org/10.2110/palo.2010.p10-151r.","startPage":"346","endPage":"363","numberOfPages":"18","costCenters":[],"links":[{"id":213818,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/palo.2010.p10-151r"},{"id":241478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-17","publicationStatus":"PW","scienceBaseUri":"5059ea74e4b0c8380cd4888b","contributors":{"authors":[{"text":"Hallmann, N.","contributorId":25772,"corporation":false,"usgs":true,"family":"Hallmann","given":"N.","email":"","affiliations":[],"preferred":false,"id":436419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schone, B.R.","contributorId":64900,"corporation":false,"usgs":true,"family":"Schone","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":436421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, G.V.","contributorId":97051,"corporation":false,"usgs":true,"family":"Irvine","given":"G.V.","email":"","affiliations":[],"preferred":false,"id":436423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burchell, M.","contributorId":68972,"corporation":false,"usgs":true,"family":"Burchell","given":"M.","email":"","affiliations":[],"preferred":false,"id":436422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cokelet, E.D.","contributorId":48397,"corporation":false,"usgs":true,"family":"Cokelet","given":"E.D.","affiliations":[],"preferred":false,"id":436420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilton, M.R.","contributorId":20555,"corporation":false,"usgs":true,"family":"Hilton","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":436418,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032505,"text":"70032505 - 2011 - Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control","interactions":[],"lastModifiedDate":"2023-11-28T13:04:00.087566","indexId":"70032505","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control","docAbstract":"<p><span>Supported by NASA's Earth Surface and Interior (ESI) Program, we are producing a global set of Ground Control Points (GCPs) derived from the Ice, Cloud and land Elevation Satellite (ICESat) altimetry data. From February of 2003, to October of 2009, ICESat obtained nearly global measurements of land topography (+/- 86deg latitudes) with unprecedented accuracy, sampling the Earth's surface at discrete approx.50 m diameter laser footprints spaced 170 m along the altimetry profiles. We apply stringent editing to select the highest quality elevations and&nbsp;use these GCPs to characterize and quantify spatially varying elevation biases in Digital Elevation Models (DEMs). In this paper, we present an evaluation of the soon to be released Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010). Elevation biases and error statistics have been analyzed as a function of land cover and relief. The GMTED2010 products are a large improvement over previous sources of elevation data at comparable resolutions. RMSEs for all products and terrain conditions are below 7 m and typically are about 4 m. The GMTED2010 products are biased upward with respect to the ICESat GCPs on average by approximately 3 m.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications","conferenceDate":"May 26-29, 2011","conferenceLocation":"Nanjing, China","language":"English","publisher":"SPIE","doi":"10.1117/12.912776","usgsCitation":"Carabajal, C., Harding, D., Boy, J., Danielson, J.J., Gesch, D., and Suchdeo, V., 2011, Evaluation of the Global Multi-Resolution Terrain Elevation Data 2010 (GMTED2010) using ICESat geodetic control, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 8286, Nanjing, China, May 26-29, 2011, 82861Y, https://doi.org/10.1117/12.912776.","productDescription":"82861Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8286","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0cd4e4b0c8380cd52cf6","contributors":{"authors":[{"text":"Carabajal, C.C.","contributorId":37544,"corporation":false,"usgs":true,"family":"Carabajal","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":436520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harding, D.J.","contributorId":36723,"corporation":false,"usgs":true,"family":"Harding","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":436519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boy, J.-P.","contributorId":84569,"corporation":false,"usgs":true,"family":"Boy","given":"J.-P.","email":"","affiliations":[],"preferred":false,"id":436523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":40812,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":436521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gesch, D.B. 0000-0002-8992-4933","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":26886,"corporation":false,"usgs":true,"family":"Gesch","given":"D.B.","affiliations":[],"preferred":false,"id":436518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suchdeo, V.P.","contributorId":44744,"corporation":false,"usgs":true,"family":"Suchdeo","given":"V.P.","email":"","affiliations":[],"preferred":false,"id":436522,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032515,"text":"70032515 - 2011 - Survey of stranded gas and delivered costs to Europe of selected gas resources","interactions":[],"lastModifiedDate":"2018-10-29T12:18:50","indexId":"70032515","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Survey of stranded gas and delivered costs to Europe of selected gas resources","docAbstract":"<p>Two important trends affecting the expected growth of global gas markets are (1) the shift by many industrialized countries from coal-fired electricity generation to the use of natural gas to generate electricity and (2) the industrialization of the heavily populated Asian countries of India and China. This paper surveys discovered gas in stranded conventional gas accumulations and presents estimates of the cost of developing and producing stranded gas in selected countries. Stranded gas is natural gas in discovered or identified fields that is not currently commercially producible for either physical or economic reasons. Published reserves of gas at the global level do not distinguish between volumes of gas in producing fields and volumes in nonproducing fields. Data on stranded gas reported here-that is the volumes, geographical distribution, and size distributions of stranded gas fields at the country and regional level-are based on the examination of individual-field data and represent a significant improvement in information available to industry and government decision makers. Globally, stranded gas is pervasive, but large volumes in large accumulations are concentrated in only a few areas. The cost component of the paper focuses on stranded conventional gas accumulations in Africa and South America that have the potential to augment supplies to Europe. The methods described for the computation of extraction and transport costs are innovative in that they use information on the sizes and geographical distribution of the identified stranded gas fields. The costs are based on industry data specific to the country and geologic basin where the stranded gas is located. Gas supplies to Europe can be increased significantly at competitive costs by the development of stranded gas. Net extraction costs of producing the identified gas depend critically on the natural-gas-liquids (NGLs) content, the prevailing prices of liquids, the size of the gas accumulation, and the deposit's location. The diversity of the distribution of stranded gas is one obstacle to the exercise of market power by the Gas Exporting Countries Forum (GECF).&nbsp;</p>","conferenceTitle":"SPE Hydrocarbon Economics and Evaluation Symposium 2010","conferenceDate":"March 8-9, 2010","language":"English","publisher":"Society of Petroleum Engineers","issn":"21501173","usgsCitation":"Attanasi, E.D., and Freeman, P., 2011, Survey of stranded gas and delivered costs to Europe of selected gas resources, SPE Hydrocarbon Economics and Evaluation Symposium 2010, March 8-9, 2010, p. 149-162.","productDescription":"14 p.","startPage":"149","endPage":"162","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":241379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba29ae4b08c986b31f806","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":193092,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":436577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":436576,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036218,"text":"70036218 - 2011 - A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean","interactions":[],"lastModifiedDate":"2021-01-25T19:06:23.937446","indexId":"70036218","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1784,"text":"Geological Society Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"49","title":"A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean","docAbstract":"<p><span>The Lomonosov microcontinent is an elongated continental fragment that transects the Arctic Ocean between North America and Siberia via the North Pole. Although it lies beneath polar pack ice, the geological framework of the microcontinent is inferred from sparse seismic reflection data, a few cores, potential field data and the geology of its conjugate margin in the Barents–Kara Shelf. Petroleum systems inferred to be potentially active are comparable to those sourced by condensed Triassic and Jurassic marine shale of the Barents Platform and by condensed Jurassic and (or) Cretaceous shale probably present in the adjacent Amerasia Basin. Cenozoic deposits are known to contain rich petroleum source rocks but are too thermally immature to have generated petroleum. For the 2008 USGS Circum Arctic Resource Appraisal (CARA), the microcontinent was divided into shelf and slope assessment units (AUs) at the tectonic hinge line along the Amerasia Basin margin. A low to moderate probability of accumulation in the slope AU yielded fully risked mean estimates of 123 MMBO oil and 740 BCF gas. For the shelf AU, no quantitative assessment was made because the probability of petroleum accumulations of the 50 MMBOE minimum size was estimated to be less than 10% owing to rift-related uplift, erosion and faulting.</span></p>","language":"English","publisher":"Geological Society of London","doi":"10.1144/M35.49","issn":"04354052","usgsCitation":"Moore, T.E., Grantz, A., Pitman, J.K., and Brown, P., 2011, A first look at the petroleum geology of the Lomonosov Ridge microcontinent, Arctic Ocean: Geological Society Memoir, v. 35, p. 751-769, https://doi.org/10.1144/M35.49.","productDescription":"19 p.","startPage":"751","endPage":"769","numberOfPages":"19","ipdsId":"IP-021684","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":246178,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218192,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/M35.49"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2011-08-05","publicationStatus":"PW","scienceBaseUri":"5059f46de4b0c8380cd4bd1c","contributors":{"authors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":1033,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":454940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grantz, Arthur agrantz@usgs.gov","contributorId":2585,"corporation":false,"usgs":true,"family":"Grantz","given":"Arthur","email":"agrantz@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":454939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":454942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Philip J.","contributorId":70483,"corporation":false,"usgs":true,"family":"Brown","given":"Philip J.","affiliations":[],"preferred":false,"id":454941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036213,"text":"70036213 - 2011 - Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina","interactions":[],"lastModifiedDate":"2021-01-25T19:47:41.479357","indexId":"70036213","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina","docAbstract":"<p><span>The key to advancing the predictability of rainfall-triggered landslides is to use physically based slope-stability models that simulate the transient dynamical response of the subsurface moisture to spatiotemporal variability of rainfall in complex terrains. TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis) is a USGS landslide prediction model, coded in Fortran, that accounts for the influences of hydrology, topography, and soil physics on slope stability. In this study, we quantitatively evaluate the spatiotemporal predictability of a Matlab version of TRIGRS (MaTRIGRS) in the Blue Ridge Mountains of Macon County, North Carolina where Hurricanes Ivan triggered widespread landslides in the 2004 hurricane season. High resolution digital elevation model (DEM) data (6-m LiDAR), USGS STATSGO soil database, and NOAA/NWS combined radar and gauge precipitation are used as inputs to the model. A local landslide inventory database from North Carolina Geological Survey is used to evaluate the MaTRIGRS’ predictive skill for the landslide locations and timing, identifying predictions within a 120-m radius of observed landslides over the 30-h period of Hurricane Ivan’s passage in September 2004. Results show that within a radius of 24&nbsp;m from the landslide location about 67% of the landslide, observations could be successfully predicted but with a high false alarm ratio (90%). If the radius of observation is extended to 120&nbsp;m, 98% of the landslides are detected with an 18% false alarm ratio. This study shows that MaTRIGRS demonstrates acceptable spatiotemporal predictive skill for landslide occurrences within a 120-m radius in space and a hurricane-event-duration (h) in time, offering the potential to serve as a landslide warning system in areas where accurate rainfall forecasts and detailed field data are available. The validation can be further improved with additional landslide information including the exact time of failure for each landslide and the landslide’s extent and run out length.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s11069-010-9670-y","issn":"0921030X","usgsCitation":"Liao, Z., Hong, Y., Kirschbaum, D., Adler, R., Gourley, J., and Wooten, R., 2011, Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina: Natural Hazards, v. 58, no. 1, p. 325-339, https://doi.org/10.1007/s11069-010-9670-y.","productDescription":"15 p.","startPage":"325","endPage":"339","costCenters":[],"links":[{"id":246117,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218133,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-010-9670-y"}],"country":"United States","state":"North Carolina","county":"Macon","otherGeospatial":"Blue Ridge Mountains","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-83.6811,35.2794],[-83.6644,35.2835],[-83.4961,35.3004],[-83.4889,35.3043],[-83.4866,35.3044],[-83.4734,35.2993],[-83.4667,35.299],[-83.4583,35.3016],[-83.4493,35.315],[-83.4378,35.3217],[-83.4284,35.3247],[-83.414,35.3183],[-83.4101,35.3193],[-83.4003,35.3269],[-83.3885,35.3277],[-83.3654,35.3283],[-83.3599,35.333],[-83.3507,35.3288],[-83.338,35.3336],[-83.3317,35.3198],[-83.323,35.315],[-83.3126,35.2821],[-83.3149,35.2698],[-83.3083,35.26],[-83.2984,35.2548],[-83.2898,35.236],[-83.2862,35.2329],[-83.272,35.2292],[-83.2485,35.2326],[-83.2431,35.2382],[-83.2365,35.2425],[-83.2274,35.24],[-83.2178,35.2253],[-83.2246,35.1606],[-83.2126,35.1564],[-83.1962,35.1409],[-83.1868,35.1307],[-83.1758,35.1083],[-83.1494,35.0954],[-83.1451,35.0878],[-83.1459,35.08],[-83.1565,35.0775],[-83.1718,35.0671],[-83.1699,35.0608],[-83.1499,35.054],[-83.1341,35.0381],[-83.1314,35.0268],[-83.1224,35.013],[-83.1129,35.0141],[-83.1094,35.011],[-83.1076,35.0079],[-83.1052,35.002],[-83.1256,35.0014],[-83.4584,34.9946],[-83.4836,34.9946],[-83.4844,34.9946],[-83.4879,34.9981],[-83.5101,35.0047],[-83.5218,35.0026],[-83.5232,35.0093],[-83.5201,35.0154],[-83.5214,35.0185],[-83.5409,35.0393],[-83.5455,35.0414],[-83.55,35.0413],[-83.5573,35.0406],[-83.5656,35.0503],[-83.5628,35.0631],[-83.5664,35.0685],[-83.5838,35.0798],[-83.5854,35.0888],[-83.5998,35.097],[-83.613,35.1011],[-83.6165,35.1046],[-83.6165,35.116],[-83.6201,35.1218],[-83.6198,35.1282],[-83.6239,35.1303],[-83.6277,35.1279],[-83.6337,35.1232],[-83.6382,35.1244],[-83.6391,35.1308],[-83.636,35.1372],[-83.6384,35.139],[-83.647,35.1423],[-83.6503,35.1531],[-83.6572,35.1575],[-83.6589,35.157],[-83.6609,35.1519],[-83.6654,35.1504],[-83.6713,35.157],[-83.678,35.1568],[-83.6875,35.1542],[-83.6943,35.1554],[-83.7026,35.152],[-83.7128,35.1544],[-83.7265,35.1462],[-83.7387,35.1553],[-83.7319,35.1646],[-83.7301,35.1752],[-83.7243,35.1817],[-83.7122,35.1871],[-83.7102,35.1935],[-83.724,35.1994],[-83.7254,35.2039],[-83.7222,35.2081],[-83.715,35.212],[-83.708,35.2181],[-83.6971,35.2248],[-83.6929,35.2322],[-83.6916,35.24],[-83.6934,35.2426],[-83.6988,35.2479],[-83.6861,35.2665],[-83.6811,35.2794]]]},\"properties\":{\"name\":\"Macon\",\"state\":\"NC\"}}]}","volume":"58","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"505a0c25e4b0c8380cd52a5a","contributors":{"authors":[{"text":"Liao, Z.","contributorId":107137,"corporation":false,"usgs":true,"family":"Liao","given":"Z.","email":"","affiliations":[],"preferred":false,"id":454917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Y.","contributorId":67343,"corporation":false,"usgs":true,"family":"Hong","given":"Y.","email":"","affiliations":[],"preferred":false,"id":454915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirschbaum, D.","contributorId":41686,"corporation":false,"usgs":true,"family":"Kirschbaum","given":"D.","affiliations":[],"preferred":false,"id":454913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adler, R.F.","contributorId":31243,"corporation":false,"usgs":true,"family":"Adler","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":454912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gourley, J.J.","contributorId":45557,"corporation":false,"usgs":true,"family":"Gourley","given":"J.J.","affiliations":[],"preferred":false,"id":454914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooten, R.","contributorId":86610,"corporation":false,"usgs":true,"family":"Wooten","given":"R.","email":"","affiliations":[],"preferred":false,"id":454916,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032575,"text":"70032575 - 2011 - Modeling hydrologic and geomorphic hazards across post-fire landscapes using a self-organizing map approach","interactions":[],"lastModifiedDate":"2017-05-23T13:37:23","indexId":"70032575","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Modeling hydrologic and geomorphic hazards across post-fire landscapes using a self-organizing map approach","docAbstract":"<p>Few studies attempt to model the range of possible post-fire hydrologic and geomorphic hazards because of the sparseness of data and the coupled, nonlinear, spatial, and temporal relationships among landscape variables. In this study, a type of unsupervised artificial neural network, called a self-organized map (SOM), is trained using data from 540 burned basins in the western United States. The sparsely populated data set includes variables from independent numerical landscape categories (climate, land surface form, geologic texture, and post-fire condition), independent landscape classes (bedrock geology and state), and dependent initiation processes (runoff, landslide, and runoff and landslide combination) and responses (debris flows, floods, and no events). Pattern analysis of the SOM-based component planes is used to identify and interpret relations among the variables. Application of the Davies-Bouldin criteria following k-means clustering of the SOM neurons identified eight conceptual regional models for focusing future research and empirical model development. A split-sample validation on 60 independent basins (not included in the training) indicates that simultaneous predictions of initiation process and response types are at least 78% accurate. As climate shifts from wet to dry conditions, forecasts across the burned landscape reveal a decreasing trend in the total number of debris flow, flood, and runoff events with considerable variability among individual basins. These findings suggest the SOM may be useful in forecasting real-time post-fire hazards, and long-term post-recovery processes and effects of climate change scenarios.</p>","language":"English","publisher":"Elsevier Science","doi":"10.1016/j.envsoft.2011.07.001","issn":"13648152","usgsCitation":"Friedel, M.J., 2011, Modeling hydrologic and geomorphic hazards across post-fire landscapes using a self-organizing map approach: Environmental Modelling and Software, v. 26, no. 12, p. 1660-1674, https://doi.org/10.1016/j.envsoft.2011.07.001.","productDescription":"15 p.","startPage":"1660","endPage":"1674","costCenters":[],"links":[{"id":241760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c03e4b0c8380cd6f981","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":436890,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032588,"text":"70032588 - 2011 - Earth observing data and methods for advancing water harvesting technologies in the semi-arid rain-fed environments of India","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032588","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Earth observing data and methods for advancing water harvesting technologies in the semi-arid rain-fed environments of India","docAbstract":"The paper develops approaches and methods of modeling and mapping land and water productivity of rain-fed crops in semi-arid environments of India using hyperspectral, hyperspatial, and advanced multispectral remote sensing data and linking the same to field-plot data and climate station data. The overarching goal is to provide information to advance water harvesting technologies in the agricultural croplands of the semi-arid environments of India by conducting research in a representative pilot site in Jodhpur, Rajasthan, India. ?? 2011 IEEE.","largerWorkTitle":"Proceedings - 2011 IEEE Global Humanitarian Technology Conference, GHTC 2011","conferenceTitle":"2011 IEEE Global Humanitarian Technology Conference, GHTC 2011","conferenceDate":"30 October 2011 through 1 November 2011","conferenceLocation":"Seattle, WA","language":"English","doi":"10.1109/GHTC.2011.68","isbn":"9780769545950","usgsCitation":"Sharma, C., Thenkabail, P., and Sharma, R.R., 2011, Earth observing data and methods for advancing water harvesting technologies in the semi-arid rain-fed environments of India, <i>in</i> Proceedings - 2011 IEEE Global Humanitarian Technology Conference, GHTC 2011, Seattle, WA, 30 October 2011 through 1 November 2011, p. 189-193, https://doi.org/10.1109/GHTC.2011.68.","startPage":"189","endPage":"193","numberOfPages":"5","costCenters":[],"links":[{"id":213791,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/GHTC.2011.68"},{"id":241450,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a049ae4b0c8380cd50a9f","contributors":{"authors":[{"text":"Sharma, C.","contributorId":22134,"corporation":false,"usgs":true,"family":"Sharma","given":"C.","email":"","affiliations":[],"preferred":false,"id":436955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, P.","contributorId":77369,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.","email":"","affiliations":[],"preferred":false,"id":436957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharma, R. R.","contributorId":44363,"corporation":false,"usgs":true,"family":"Sharma","given":"R.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":436956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032611,"text":"70032611 - 2011 - Developing an operational rangeland water requirement satisfaction index","interactions":[],"lastModifiedDate":"2017-04-06T13:36:08","indexId":"70032611","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Developing an operational rangeland water requirement satisfaction index","docAbstract":"<p><span>Developing an operational water requirement satisfaction index (WRSI) for rangeland monitoring is an important goal of the famine early warning systems network. An operational WRSI has been developed for crop monitoring, but until recently a comparable WRSI for rangeland was not successful because of the extremely poor performance of the index when based on published crop coefficients (</span><i>K</i> <sub>c</sub><span>) for rangelands. To improve the rangeland WRSI, we developed a simple calibration technique that adjusts the </span><i>K</i> <sub>c</sub><span> values for rangeland monitoring using long-term rainfall distribution and reference evapotranspiration data. The premise for adjusting the </span><i>K</i> <sub>c</sub><span> values is based on the assumption that a viable rangeland should exhibit above-average WRSI (values &gt;80%) during a normal year. The normal year was represented by a median dekadal rainfall distribution (satellite rainfall estimate from 1996 to 2006). Similarly, a long-term average for potential evapotranspiration was used as input to the famine early warning systems network WRSI model in combination with soil-water-holding capacity data. A dekadal rangeland WRSI has been operational for east and west Africa since 2005. User feedback has been encouraging, especially with regard to the end-of-season WRSI anomaly products that compare the index's performance to ‘normal’ years. Currently, rangeland WRSI products are generated on a dekadal basis and posted for free distribution on the US Geological Survey early warning website at </span><a href=\"http://earlywarning.usgs.gov/adds/\" target=\"_blank\" data-mce-href=\"http://earlywarning.usgs.gov/adds/\">http://earlywarning.usgs.gov/adds/</a></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2010.516028","issn":"01431161","usgsCitation":"Senay, G.B., Verdin, J.P., and Rowland, J., 2011, Developing an operational rangeland water requirement satisfaction index: International Journal of Remote Sensing, v. 32, no. 21, p. 6047-6053, https://doi.org/10.1080/01431161.2010.516028.","productDescription":"7 p.","startPage":"6047","endPage":"6053","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241255,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213610,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.516028"}],"volume":"32","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-08-11","publicationStatus":"PW","scienceBaseUri":"505a000ee4b0c8380cd4f56c","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":437047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":437049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":437048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032619,"text":"70032619 - 2011 - Simulating sterilization, vaccination, and test-and-remove as brucellosis control measures in bison","interactions":[],"lastModifiedDate":"2020-01-14T15:26:38","indexId":"70032619","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Simulating sterilization, vaccination, and test-and-remove as brucellosis control measures in bison","docAbstract":"Brucella abortus, the causative agent of bovine brucellosis, infects wildlife, cattle, and humans worldwide, but management of the disease is often hindered by the logistics of controlling its prevalence in wildlife reservoirs. We used an individually based epidemiological model to assess the relative efficacies of three management interventions (sterilization, vaccination, and test-and-remove). The model was parameterized with demographic and epidemiological data from bison in Yellowstone National Park, USA. Sterilization and test-and-remove were most successful at reducing seroprevalence when they were targeted at young seropositive animals, which are the most likely age and sex category to be infectious. However, these approaches also required the most effort to implement. Vaccination was less effective (even with a perfect vaccine) but also required less effort to implement. For the treatment efforts we explored (50–100 individuals per year or 2.5–5% of the female population), sterilization had little impact upon the bison population growth rate when selectively applied. The population growth rate usually increased by year 25 due to the reduced number of Brucella-induced abortions. Initial declines in seroprevalence followed by rapid increases (>15% increase in 5 years) occurred in 3–13% of simulations with sterilization and test-and-remove, but not vaccination. We believe this is due to the interaction of superspreading events and the loss of herd immunity in the later stages of control efforts as disease prevalence declines. Sterilization provided a mechanism for achieving large disease reductions while simultaneously limiting population growth, which may be advantageous in some management scenarios. However, the field effort required to find the small segment of the population that is infectious rather than susceptible or recovered will likely limit the utility of this approach in many free-ranging wildlife populations. Nevertheless, we encourage scientists and policy makers to consider sterilization as part of a suite of available brucellosis management tools.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-2239.1","issn":"10510761","usgsCitation":"Ebinger, M., Cross, P.C., Wallen, R., White, P., and Treanor, J., 2011, Simulating sterilization, vaccination, and test-and-remove as brucellosis control measures in bison: Ecological Applications, v. 21, no. 8, p. 2944-2959, https://doi.org/10.1890/10-2239.1.","productDescription":"16 p.","startPage":"2944","endPage":"2959","numberOfPages":"16","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":241384,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8fd4e4b08c986b319171","contributors":{"authors":[{"text":"Ebinger, M.","contributorId":49988,"corporation":false,"usgs":true,"family":"Ebinger","given":"M.","email":"","affiliations":[],"preferred":false,"id":437077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":779429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallen, Rick","contributorId":14202,"corporation":false,"usgs":true,"family":"Wallen","given":"Rick","affiliations":[],"preferred":false,"id":437075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":437078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Treanor, John","contributorId":92063,"corporation":false,"usgs":true,"family":"Treanor","given":"John","affiliations":[],"preferred":false,"id":437079,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032620,"text":"70032620 - 2011 - Evaluating cost-efficiency and accuracy of hunter harvest survey designs","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032620","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating cost-efficiency and accuracy of hunter harvest survey designs","docAbstract":"Effective management of harvested wildlife often requires accurate estimates of the number of animals harvested annually by hunters. A variety of techniques exist to obtain harvest data, such as hunter surveys, check stations, mandatory reporting requirements, and voluntary reporting of harvest. Agencies responsible for managing harvested wildlife such as deer (Odocoileus spp.), elk (Cervus elaphus), and pronghorn (Antilocapra americana) are challenged with balancing the cost of data collection versus the value of the information obtained. We compared precision, bias, and relative cost of several common strategies, including hunter self-reporting and random sampling, for estimating hunter harvest using a realistic set of simulations. Self-reporting with a follow-up survey of hunters who did not report produces the best estimate of harvest in terms of precision and bias, but it is also, by far, the most expensive technique. Self-reporting with no followup survey risks very large bias in harvest estimates, and the cost increases with increased response rate. Probability-based sampling provides a substantial cost savings, though accuracy can be affected by nonresponse bias. We recommend stratified random sampling with a calibration estimator used to reweight the sample based on the proportions of hunters responding in each covariate category as the best option for balancing cost and accuracy. ?? 2011 The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/wsb.61","issn":"00917648","usgsCitation":"Lukacs, P., Gude, J., Russell, R., and Ackerman, B., 2011, Evaluating cost-efficiency and accuracy of hunter harvest survey designs: Wildlife Society Bulletin, v. 35, no. 4, p. 430-437, https://doi.org/10.1002/wsb.61.","startPage":"430","endPage":"437","numberOfPages":"8","costCenters":[],"links":[{"id":499968,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b98da09300304c678a6901f9eacc8057","text":"External Repository"},{"id":213729,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.61"},{"id":241385,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-21","publicationStatus":"PW","scienceBaseUri":"505a0bdde4b0c8380cd528ff","contributors":{"authors":[{"text":"Lukacs, P.M.","contributorId":84708,"corporation":false,"usgs":true,"family":"Lukacs","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":437082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gude, J.A.","contributorId":101092,"corporation":false,"usgs":true,"family":"Gude","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":437083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, R.E.","contributorId":34728,"corporation":false,"usgs":true,"family":"Russell","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":437081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, B.B.","contributorId":31698,"corporation":false,"usgs":true,"family":"Ackerman","given":"B.B.","email":"","affiliations":[],"preferred":false,"id":437080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032621,"text":"70032621 - 2011 - Rapid Holocene coastal change revealed by high-resolution micropaleontological analysis, Pamlico Sound, North Carolina, USA","interactions":[],"lastModifiedDate":"2016-11-30T11:25:51","indexId":"70032621","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Rapid Holocene coastal change revealed by high-resolution micropaleontological analysis, Pamlico Sound, North Carolina, USA","docAbstract":"Foraminiferal analyses of 404 contiguous samples, supported by diatom, lithologic, geochronologic and seismic data, reveal both rapid and gradual Holocene paleoenvironmental changes in an 8.21-m vibracore taken from southern Pamlico Sound, North Carolina. Data record initial flooding of a latest Pleistocene river drainage and the formation of an estuary 9000. yr ago. Estuarine conditions were punctuated by two intervals of marine influence from approximately 4100 to 3700 and 1150 to 500. cal. yr BP. Foraminiferal assemblages in the muddy sand facies that accumulated during these intervals contain many well-preserved benthic foraminiferal species, which occur today in open marine settings as deep as the mid shelf, and significant numbers of well-preserved planktonic foraminifera, some typical of Gulf Stream waters. We postulate that these marine-influenced units resulted from temporary destruction of the southern Outer Banks barrier islands by hurricanes. The second increase in marine influence is coeval with increased rate of sea-level rise and a peak in Atlantic tropical cyclone activity during the Medieval Climate Anomaly. This high-resolution analysis demonstrates the range of environmental variability and the rapidity of coastal change that can result from the interplay of changing climate, sea level and geomorphology in an estuarine setting. ?? 2011 University of Washington.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.yqres.2011.06.012","issn":"00335894","usgsCitation":"Grand, P.C., Culver, S., Mallinson, D.J., Farrell, K., Corbett, D., Horton, B.P., Hillier, C., Riggs, S., Snyder, S., and Buzas, M., 2011, Rapid Holocene coastal change revealed by high-resolution micropaleontological analysis, Pamlico Sound, North Carolina, USA: Quaternary Research, v. 76, no. 3, p. 319-334, https://doi.org/10.1016/j.yqres.2011.06.012.","startPage":"319","endPage":"334","numberOfPages":"16","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":241418,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213761,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2011.06.012"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.4373779296875,\n              35.44053326772722\n            ],\n            [\n              -76.4373779296875,\n              35.44277092585766\n            ],\n            [\n              -76.43463134765625,\n              35.44277092585766\n            ],\n            [\n              -76.43463134765625,\n              35.44053326772722\n            ],\n            [\n              -76.4373779296875,\n              35.44053326772722\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.06109619140625,\n              34.75740963726007\n            ],\n            [\n              -76.40304565429688,\n              34.755153088189324\n            ],\n            [\n              -76.4044189453125,\n              35.430463036438276\n            ],\n            [\n              -75.73699951171875,\n              35.430463036438276\n            ],\n            [\n              -75.73837280273438,\n              34.75402479052889\n            ],\n            [\n              -76.06109619140625,\n              34.75740963726007\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"505a94b5e4b0c8380cd81582","contributors":{"authors":[{"text":"Grand, Pre C.","contributorId":6672,"corporation":false,"usgs":true,"family":"Grand","given":"Pre","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":437084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, S.J.","contributorId":53970,"corporation":false,"usgs":true,"family":"Culver","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":437087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, D. J.","contributorId":71745,"corporation":false,"usgs":true,"family":"Mallinson","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":437089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, K.M.","contributorId":106573,"corporation":false,"usgs":true,"family":"Farrell","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":437093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corbett, D.R.","contributorId":73791,"corporation":false,"usgs":true,"family":"Corbett","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":437090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horton, B. P.","contributorId":96816,"corporation":false,"usgs":false,"family":"Horton","given":"B.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":437092,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hillier, C.","contributorId":11012,"corporation":false,"usgs":true,"family":"Hillier","given":"C.","email":"","affiliations":[],"preferred":false,"id":437085,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Riggs, S.R.","contributorId":29807,"corporation":false,"usgs":true,"family":"Riggs","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":437086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Snyder, S.W.","contributorId":92875,"corporation":false,"usgs":true,"family":"Snyder","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":437091,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buzas, M.A.","contributorId":58018,"corporation":false,"usgs":true,"family":"Buzas","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":437088,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70032645,"text":"70032645 - 2011 - Geology and mammalian paleontology of the Horned Toad Hills, Mojave Desert, California, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032645","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2997,"text":"Palaeontologia Electronica","active":true,"publicationSubtype":{"id":10}},"title":"Geology and mammalian paleontology of the Horned Toad Hills, Mojave Desert, California, USA","docAbstract":"The Horned Toad Formation includes five lithostratigraphic members that record alluvial fan, fluvial, lake margin, and lacustrine deposition within a relatively small basin just south of the active Garlock fault during the late Miocene to early Pliocene. These sediments experienced northwest-southeast contractional deformation during the Pliocene-Pleistocene associated with basement-involved reverse faults. Member Two of the Horned Toad Formation has yielded 24 taxa of fossil mammals, referred to as the Warren Local Fauna, including Cryptotis sp., cf. Scapanus, Hypolagus vetus, Hypolagus edensis,? Spermophilus sp., Prothomomys warrenensis n. gen., n. sp., Perognathus sp., Repomys gustelyi, Postcopemys valensis, Peromyscus sp. A, Peromyscus sp. B, Jacobsomys dailyi n. sp., Borophagus cf. B. secundus, cf. Agriotherium, Machairodus sp. cf. M. coloradensis, Rhynchotherium sp. cf. R. edensis, Pliomastodon vexillarius, Dinohippus edensis, Teleoceras sp. cf. T. fossiger, cf. Prosthennops, Megatylopus sp. cf. M. matthewi, Hemiauchenia vera, Camelidae gen. et. sp. indet., and the antilocaprid cf. Sphenophalos. The majority of fossil localities are confined to a 20 m thick stratigraphic interval within a reversed polarity magnetozone. The fauna demonstrates affinity with other late Hemphillian faunas from California, Nevada, Nebraska, Texas, and Mexico. The Lawlor Tuff, dated elsewhere in California at 4.83 ?? 0.04 Ma and geochemically identified in the Horned Toad Formation, overlies most of the fossil mammal localities. Magnetic polarity data are correlated with Chrons 3n.3r, 3n.3n, and 3n.2r, suggesting an age of approximately 5.0 - 4.6 Ma. These constraints indicate an age for the late Hemphillian Warren Local Fauna of 4.85 - 5.0 Ma. ?? Society of Vertebrate Paleontology November 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeontologia Electronica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10948074","usgsCitation":"May, S., Woodburne, M., Lindsay, E., Albright, L., Sarna-Wojcicki, A., Wan, E., and Wahl, D., 2011, Geology and mammalian paleontology of the Horned Toad Hills, Mojave Desert, California, USA: Palaeontologia Electronica, v. 14, no. 3.","startPage":"13","costCenters":[],"links":[{"id":241320,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a237fe4b0c8380cd578e8","contributors":{"authors":[{"text":"May, S.R.","contributorId":67736,"corporation":false,"usgs":true,"family":"May","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":437248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodburne, M.O.","contributorId":63228,"corporation":false,"usgs":true,"family":"Woodburne","given":"M.O.","affiliations":[],"preferred":false,"id":437247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsay, E.H.","contributorId":59251,"corporation":false,"usgs":true,"family":"Lindsay","given":"E.H.","email":"","affiliations":[],"preferred":false,"id":437246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albright, L.B.","contributorId":40025,"corporation":false,"usgs":true,"family":"Albright","given":"L.B.","email":"","affiliations":[],"preferred":false,"id":437245,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sarna-Wojcicki, A. 0000-0002-0244-9149","orcid":"https://orcid.org/0000-0002-0244-9149","contributorId":38750,"corporation":false,"usgs":true,"family":"Sarna-Wojcicki","given":"A.","affiliations":[],"preferred":false,"id":437244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wan, E.","contributorId":15836,"corporation":false,"usgs":true,"family":"Wan","given":"E.","email":"","affiliations":[],"preferred":false,"id":437243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wahl, D.B.","contributorId":98553,"corporation":false,"usgs":true,"family":"Wahl","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":437249,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032669,"text":"70032669 - 2011 - The influence of fine-scale habitat features on regional variation in population performance of alpine White-tailed Ptarmigan","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032669","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"The influence of fine-scale habitat features on regional variation in population performance of alpine White-tailed Ptarmigan","docAbstract":"It is often assumed (explicitly or implicitly) that animals select habitat features to maximize fitness. However, there is often a mismatch between preferred habitats and indices of individual and population measures of performance. We examined the influence of fine-scale habitat selection on the overall population performance of the White-tailed Ptarmigan (Lagopus leucura), an alpine specialist, in two subdivided populations whose habitat patches are configured differently. The central region of Vancouver Island, Canada, has more continuous and larger habitat patches than the southern region. In 2003 and 2004, using paired logistic regression between used (n = 176) and available (n = 324) sites, we identified food availability, distance to standing water, and predator cover as preferred habitat components . We then quantified variation in population performance in the two regions in terms of sex ratio, age structure (n = 182 adults and yearlings), and reproductive success (n = 98 females) on the basis of 8 years of data (1995-1999, 2002-2004). Region strongly influenced females' breeding success, which, unsuccessful hens included, was consistently higher in the central region (n = 77 females) of the island than in the south (n = 21 females, P = 0.01). The central region also had a much higher proportion of successful hens (87%) than did the south (55%, P < 0.001). In light of our findings, we suggest that population performance is influenced by a combination of fine-scale habitat features and coarse-scale habitat configuration. ?? The Cooper Ornithological Society 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1525/cond.2011.100070","issn":"00105422","usgsCitation":"Fedy, B., and Martin, K., 2011, The influence of fine-scale habitat features on regional variation in population performance of alpine White-tailed Ptarmigan: Condor, v. 113, no. 2, p. 306-315, https://doi.org/10.1525/cond.2011.100070.","startPage":"306","endPage":"315","numberOfPages":"10","costCenters":[],"links":[{"id":475087,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100070","text":"Publisher Index Page"},{"id":213982,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2011.100070"},{"id":241660,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad21e4b08c986b3239cd","contributors":{"authors":[{"text":"Fedy, B.","contributorId":30461,"corporation":false,"usgs":true,"family":"Fedy","given":"B.","email":"","affiliations":[],"preferred":false,"id":437371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, K.","contributorId":82666,"corporation":false,"usgs":true,"family":"Martin","given":"K.","affiliations":[],"preferred":false,"id":437372,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032671,"text":"70032671 - 2011 - Building transparent data access for ocean observatories: Coordination of U.S. IOOS DMAC with NSF's OOI Cyberinfrastructure","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032671","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Building transparent data access for ocean observatories: Coordination of U.S. IOOS DMAC with NSF's OOI Cyberinfrastructure","docAbstract":"The NOAA-led U.S. Integrated Ocean Observing System (IOOS) and the National Science Foundation's Ocean Observatories Initiative (OOI) have been collaborating since 2007 on advanced tools and technologies that ensure open access to ocean observations and models. Initial collaboration focused on serving ocean data via cloud computing-a key component of the OOI cyberinfrastructure (CI) architecture. As the OOI transitioned from planning to execution in the Fall of 2009, an OOI/IOOS team developed a customer-based \"use case\" to align more closely with the emerging objectives of OOI-CI team's first software release scheduled for Summer 2011 and provide a quantitative capacity for stress-testing these tools and protocols. A requirements process was initiated with coastal modelers, focusing on improved workflows to deliver ocean observation data. Accomplishments to date include the documentation and assessment of scientific workflows for two \"early adopter\" modeling teams from IOOS Regional partners (Rutgers-the State University of New Jersey and University of Hawaii's School of Ocean and Earth Science and Technology) to enable full understanding of data sources and needs; generation of all-inclusive lists of the data sets required and those obtainable through IOOS; a more complete understanding of areas where IOOS can expand data access capabilities to better serve the needs of the modeling community; and development of \"data set agents\" (software) to facilitate data acquisition from numerous data providers and conversions of the data format to the OOI-CI canonical form. ?? 2011 MTS.","largerWorkTitle":"OCEANS'11 - MTS/IEEE Kona, Program Book","conferenceTitle":"MTS/IEEE Kona Conference, OCEANS'11","conferenceDate":"19 September 2011 through 22 September 2011","conferenceLocation":"Kona, HI","language":"English","isbn":"9781457714276","usgsCitation":"Arrott, M., Alexander, C., Graybeal, J., Mueller, C., Signell, R., de La Beaujardière, J., Taylor, A., Wilkin, J., Powell, B., and Orcutt, J., 2011, Building transparent data access for ocean observatories: Coordination of U.S. IOOS DMAC with NSF's OOI Cyberinfrastructure, <i>in</i> OCEANS'11 - MTS/IEEE Kona, Program Book, Kona, HI, 19 September 2011 through 22 September 2011.","costCenters":[],"links":[{"id":241694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f2abe4b0c8380cd4b2b4","contributors":{"authors":[{"text":"Arrott, M.","contributorId":38788,"corporation":false,"usgs":true,"family":"Arrott","given":"M.","affiliations":[],"preferred":false,"id":437381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Corrine","contributorId":51902,"corporation":false,"usgs":true,"family":"Alexander","given":"Corrine","email":"","affiliations":[],"preferred":false,"id":437385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graybeal, J.","contributorId":84990,"corporation":false,"usgs":true,"family":"Graybeal","given":"J.","email":"","affiliations":[],"preferred":false,"id":437387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, C.","contributorId":40201,"corporation":false,"usgs":true,"family":"Mueller","given":"C.","email":"","affiliations":[],"preferred":false,"id":437383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Signell, R.","contributorId":76052,"corporation":false,"usgs":true,"family":"Signell","given":"R.","affiliations":[],"preferred":false,"id":437386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"de La Beaujardière, J.","contributorId":17435,"corporation":false,"usgs":true,"family":"de La Beaujardière","given":"J.","affiliations":[],"preferred":false,"id":437380,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, A.","contributorId":87381,"corporation":false,"usgs":true,"family":"Taylor","given":"A.","affiliations":[],"preferred":false,"id":437388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilkin, J.","contributorId":88163,"corporation":false,"usgs":true,"family":"Wilkin","given":"J.","email":"","affiliations":[],"preferred":false,"id":437389,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Powell, B.","contributorId":39721,"corporation":false,"usgs":true,"family":"Powell","given":"B.","email":"","affiliations":[],"preferred":false,"id":437382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Orcutt, J.","contributorId":51457,"corporation":false,"usgs":true,"family":"Orcutt","given":"J.","email":"","affiliations":[],"preferred":false,"id":437384,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70032672,"text":"70032672 - 2011 - Chronic toxicity of erythromycin thiocyanate to Daphnia magna in a flow-through, continuous exposure test system","interactions":[],"lastModifiedDate":"2023-11-28T14:26:02.157895","indexId":"70032672","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Chronic toxicity of erythromycin thiocyanate to Daphnia magna in a flow-through, continuous exposure test system","docAbstract":"<p><span>Approval of a new animal drug application for AQUAMYCIN 100</span><sup>®</sup><span>&nbsp;(erythromycin thiocyanate; ET) to treat freshwater salmonid species with bacterial kidney disease is being pursued in the US. As part of the approval process, ET’s impact on an aquatic environment had to be described in an environmental assessment. The environmental assessment was lacking data to characterize the effect ET would have on a chronically exposed aquatic invertebrate organism. A major step to fulfilling the environmental assessment was completed after conducting a comprehensive study continuously exposing&nbsp;</span><i>Daphnia magna</i><span>&nbsp;to ET for 21&nbsp;days. Results indicated that the no observable effect concentration for ET was 179&nbsp;μg/L.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00128-011-0415-8","issn":"00074861","usgsCitation":"Meinertz, J., Schreier, T.M., and Bernardy, J., 2011, Chronic toxicity of erythromycin thiocyanate to Daphnia magna in a flow-through, continuous exposure test system: Bulletin of Environmental Contamination and Toxicology, v. 87, no. 6, p. 621-625, https://doi.org/10.1007/s00128-011-0415-8.","startPage":"621","endPage":"625","numberOfPages":"5","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":214044,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00128-011-0415-8"},{"id":241731,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-10-09","publicationStatus":"PW","scienceBaseUri":"5059f5eee4b0c8380cd4c4c5","contributors":{"authors":[{"text":"Meinertz, J.R. 0000-0002-8855-2648","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":16786,"corporation":false,"usgs":true,"family":"Meinertz","given":"J.R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":437390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":437392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernardy, J.A.","contributorId":28567,"corporation":false,"usgs":true,"family":"Bernardy","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":437391,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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