{"pageNumber":"640","pageRowStart":"15975","pageSize":"25","recordCount":40807,"records":[{"id":70119596,"text":"70119596 - 2013 - Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","interactions":[],"lastModifiedDate":"2017-01-11T15:54:29","indexId":"70119596","displayToPublicDate":"2013-09-01T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","docAbstract":"<p>Estimates of groundwater recharge spatial and temporal variability are essential inputs to groundwater flow models that are used to test groundwater availability under different management and climate conditions. In this study, a soil water balance analysis was conducted to estimate groundwater recharge on the island of Jeju, Korea, for baseline, drought, and climate-land use change scenarios. The Soil Water Balance (SWB) computer code was used to compute groundwater recharge and other water balance components at a daily time step using a 100 m grid cell size for an 18-year baseline scenario (1992–2009). A 10-year drought scenario was selected from historical precipitation trends (1961–2009), while the climate-land use change scenario was developed using late 21st century climate projections and a change in urban land use. Mean annual recharge under the baseline, drought, and climate-land use scenarios was estimated at 884, 591, and 788 mm, respectively. Under the baseline scenario, mean annual recharge was within the range of previous estimates (825–959 mm) and only slightly lower than the mean of 902 mm. As a fraction of mean annual rainfall, mean annual recharge was computed as only 42% and less than previous estimates of 44–48%. The maximum historical reported annual pumping rate of 241 × 10<sup>6</sup> m<sup>3</sup> equates to 15% of baseline recharge, which is within the range of 14–16% computed from earlier studies. The model does not include a mechanism to account for additional sources of groundwater recharge, such as fog drip, irrigation, and artificial recharge, and may also overestimate evapotranspiration losses. Consequently, the results presented in this study represent a conservative estimate of total recharge.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.08.015","usgsCitation":"Mair, A., Hagedorn, B., Tillery, S., El-Kadi, A.I., Westenbroek, S.M., Ha, K., and Koh, G., 2013, Temporal and spatial variability of groundwater recharge on Jeju Island, Korea: Journal of Hydrology, v. 501, p. 213-226, https://doi.org/10.1016/j.jhydrol.2013.08.015.","productDescription":"14 p.","startPage":"213","endPage":"226","numberOfPages":"14","ipdsId":"IP-049366","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","state":"Jeju","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 126.1472,33.1764 ], [ 126.1472,33.5679 ], [ 126.9743,33.5679 ], [ 126.9743,33.1764 ], [ 126.1472,33.1764 ] ] ] } } ] }","volume":"501","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5e445e4b0b6c2798afb04","contributors":{"authors":[{"text":"Mair, Alan","contributorId":104822,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","affiliations":[],"preferred":false,"id":497734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagedorn, Benjamin","contributorId":74683,"corporation":false,"usgs":true,"family":"Hagedorn","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":497731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillery, Suzanne","contributorId":84274,"corporation":false,"usgs":true,"family":"Tillery","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":497732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I.","contributorId":41702,"corporation":false,"usgs":true,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":497729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ha, Kyoochul","contributorId":19882,"corporation":false,"usgs":true,"family":"Ha","given":"Kyoochul","email":"","affiliations":[],"preferred":false,"id":497728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koh, Gi-Won","contributorId":97826,"corporation":false,"usgs":true,"family":"Koh","given":"Gi-Won","email":"","affiliations":[],"preferred":false,"id":497733,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70074635,"text":"70074635 - 2013 - Recent land-use/land-cover change in the Central California Valley","interactions":[],"lastModifiedDate":"2014-01-31T09:33:11","indexId":"70074635","displayToPublicDate":"2013-09-01T09:22:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Recent land-use/land-cover change in the Central California Valley","docAbstract":"Open access to Landsat satellite data has enabled annual analyses of modern land-use and land-cover change (LULCC) for the Central California Valley ecoregion between 2005 and 2010. Our annual LULCC estimates capture landscape-level responses to water policy changes, climate, and economic instability. From 2005 to 2010, agriculture in the region fluctuated along with regulatory-driven changes in water allocation as well as persistent drought conditions. Grasslands and shrublands declined, while developed lands increased in former agricultural and grassland/shrublands. Development rates stagnated in 2007, coinciding with the onset of the historic foreclosure crisis in California and the global economic downturn. We utilized annual LULCC estimates to generate interval-based LULCC estimates (2000–2005 and 2005–2010) and extend existing 27 year interval-based land change monitoring through 2010. Resulting change data provides insights into the drivers of landscape change in the Central California Valley ecoregion and represents the first, continuous, 37 year mapping effort of its kind.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Land Use Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2013.841297","usgsCitation":"Soulard, C.E., and Wilson, T.S., 2013, Recent land-use/land-cover change in the Central California Valley: Journal of Land Use Science, 22 p., https://doi.org/10.1080/1747423X.2013.841297.","productDescription":"22 p.","ipdsId":"IP-041215","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1747423x.2013.841297","text":"Publisher Index Page"},{"id":281791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281790,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/1747423X.2013.841297"}],"country":"United States","state":"California","otherGeospatial":"Central California Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.62,34.86 ], [ -121.62,39.22 ], [ -119.18,39.22 ], [ -119.18,34.86 ], [ -121.62,34.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"53cd6f50e4b0b29085106578","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":489618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tamara S.","contributorId":36640,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":489619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70128147,"text":"70128147 - 2013 - Projecting demographic responses to climate change: adult and juvenile survival respond differently to direct and indirect effects of weather in a passerine population","interactions":[],"lastModifiedDate":"2014-10-07T09:22:14","indexId":"70128147","displayToPublicDate":"2013-09-01T09:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Projecting demographic responses to climate change: adult and juvenile survival respond differently to direct and indirect effects of weather in a passerine population","docAbstract":"Few studies have quantitatively projected changes in demography in response to climate change, yet doing so can provide important insights into the processes that may lead to population declines and changes in species distributions. Using a long-term mark-recapture data set, we examined the influence of multiple direct and indirect effects of weather on adult and juvenile survival for a population of Song Sparrows (Melospiza melodia) in California. We found evidence for a positive, direct effect of winter temperature on adult survival, and a positive, indirect effect of prior rainy season precipitation on juvenile survival, which was consistent with an effect of precipitation on food availability during the breeding season. We used these relationships, and climate projections of significantly warmer and slightly drier winter weather by the year 2100, to project a significant increase in mean adult survival (12-17%) and a slight decrease in mean juvenile survival (4-6%) under the B1 and A2 climate change scenarios. Together with results from previous studies on seasonal fecundity and postfledging survival in this population, we integrated these results in a population model and projected increases in the population growth rate under both climate change scenarios. Our results underscore the importance of considering multiple, direct, and indirect effects of weather throughout the annual cycle, as well as differences in the responses of each life stage to climate change. Projecting demographic responses to climate change can identify not only how populations will be affected by climate change but also indicate the demographic process(es) and specific mechanisms that may be responsible. This information can, in turn, inform climate change adaptation plans, help prioritize future research, and identify where limited conservation resources will be most effectively and efficiently spent.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.12228","usgsCitation":"Dybala, K.E., Eadie, J.M., Gardali, T., Seavy, N.E., and Herzog, M., 2013, Projecting demographic responses to climate change: adult and juvenile survival respond differently to direct and indirect effects of weather in a passerine population: Global Change Biology, v. 19, no. 9, p. 2688-2697, https://doi.org/10.1111/gcb.12228.","productDescription":"10 p.","startPage":"2688","endPage":"2697","numberOfPages":"10","ipdsId":"IP-037635","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12228"}],"country":"United States","state":"California","volume":"19","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"543500b6e4b0a4f4b46a23c2","contributors":{"authors":[{"text":"Dybala, Kristen E.","contributorId":64168,"corporation":false,"usgs":true,"family":"Dybala","given":"Kristen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":502775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, John M.","contributorId":34067,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":6961,"text":"Department of Wildlife, Fish & Conservation Biology, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":502773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardali, Thomas","contributorId":10356,"corporation":false,"usgs":true,"family":"Gardali","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":502772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seavy, Nathaniel E.","contributorId":58964,"corporation":false,"usgs":true,"family":"Seavy","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":502774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, Mark P. mherzog@usgs.gov","contributorId":3965,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark P.","email":"mherzog@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":502771,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70094655,"text":"70094655 - 2013 - Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","interactions":[],"lastModifiedDate":"2017-10-24T15:17:59","indexId":"70094655","displayToPublicDate":"2013-09-01T09:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","docAbstract":"Nest-habitat selection in colonial species has rarely been assessed at multiple spatial scales to evaluate its fitness consequences. Management for the federally endangered U.S. Interior population of Least Terns (Sternula antillarum) has focused on maintenance of breeding habitats, including mechanical construction of sandbars from dredged material. Least Terns are attracted to large areas of unvegetated substrate, yet small-scale habitat features are thought to trigger selection for nesting. We evaluated nest-scale habitat selection to determine (1) whether selection differs between constructed and natural sandbars and (2) the subsequent consequences of habitat selection on nest success. During 2006–2008, we examined 869 Least Tern nest sites on constructed and natural sandbars in the Missouri River for evidence of microhabitat selection at the nest in relation to habitat within the surrounding 3-m area. Least Tern nest sites had coarser and larger substrate materials at the nest, more debris, and less vegetation than the surrounding area. Nests in constructed habitats had a greater percentage of coarse substrates and less vegetation or debris than nests in naturally created habitats. Apparent nest success was 1.8× greater on constructed than on natural sandbars. Nest success was best predicted by models with two spatial scales of predictors, including substrates (nest) and vegetation and debris (nest or surrounding area). Our results indicate that Least Terns select nest microhabitat characteristics that are associated with wind- and water-scoured habitats, and that nest success increases when these habitats are selected.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.13048","usgsCitation":"Stucker, J.H., Buhl, D., and Sherfy, M.H., 2013, Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River: The Auk, v. 130, no. 4, p. 753-763, https://doi.org/10.1525/auk.2013.13048.","productDescription":"11 p.","startPage":"753","endPage":"763","ipdsId":"IP-024623","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.13048","text":"Publisher Index Page"},{"id":282660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska;South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.4226,42.5748 ], [ -98.4226,42.9832 ], [ -96.6453,42.9832 ], [ -96.6453,42.5748 ], [ -98.4226,42.5748 ] ] ] } } ] }","volume":"130","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5287e4b0b290850f495e","contributors":{"authors":[{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":490755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189900,"text":"70189900 - 2013 - Temporal and spatial variability of global water balance","interactions":[],"lastModifiedDate":"2017-09-20T15:01:20","indexId":"70189900","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of global water balance","docAbstract":"<p><span>An analysis of simulated global water-balance components (precipitation [P], actual evapotranspiration [AET], runoff [R], and potential evapotranspiration [PET]) for the past century indicates that P has been the primary driver of variability in R. Additionally, since about 2000, there have been increases in P, AET, R, and PET for most of the globe. The increases in R during 2000 through 2009 have occurred despite unprecedented increases in PET. The increases in R are the result of substantial increases in P during the cool Northern Hemisphere months (i.e. October through March) when PET increases were relatively small; the largest PET increases occurred during the warm Northern Hemisphere months (April through September). Additionally, for the 2000 through 2009 period, the latitudinal distribution of P departures appears to co-vary with the mean P departures from 16 climate model projections of the latitudinal response of P to warming, except in the high latitudes. Finally, changes in water-balance variables appear large from the perspective of departures from the long-term means. However, when put into the context of the magnitudes of the raw water balance variable values, there appears to have been little change in any of the water-balance variables over the past century on a global or hemispheric scale.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0798-0","usgsCitation":"McCabe, G., and Wolock, D.M., 2013, Temporal and spatial variability of global water balance: Climatic Change, v. 120, no. 1-2, p. 375-387, https://doi.org/10.1007/s10584-013-0798-0.","productDescription":"13 p.","startPage":"375","endPage":"387","ipdsId":"IP-045355","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"1-2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789364","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":706687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":706686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148160,"text":"70148160 - 2013 - Mapping risk for nest predation on a barrier island","interactions":[],"lastModifiedDate":"2015-05-27T11:12:04","indexId":"70148160","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Mapping risk for nest predation on a barrier island","docAbstract":"<p><span>Barrier islands and coastal beach systems provide nesting habitat for marine and estuarine turtles. Densely settled coastal areas may subsidize nest predators. Our purpose was to inform conservation by providing a greater understanding of habitat-based risk factors for nest predation, for an estuarine turtle. We expected that habitat conditions at predated nests would differ from random locations at two spatial extents. We developed and validated an island-wide model for the distribution of predated Diamondback terrapin nests using locations of 198 predated nests collected during exhaustive searches at Fisherman Island National Wildlife&nbsp;</span><a class=\"reference-link webtrekk-track\" href=\"http://link.springer.com/search?dc.title=Refuge&amp;facet-content-type=ReferenceWorkEntry&amp;sortOrder=relevance\">Refuge</a><span>, USA. We used aerial photographs to identify all areas of possible nesting habitat and searched each and surrounding environments for nests, collecting location and random-point microhabitat data. We built models for the probability of finding a predated nest using an equal number of random points and validated them with a reserve set (</span><i class=\"a-plus-plus\">N</i><span>&thinsp;=&thinsp;67). Five variables in 9 a priori models were used and the best selected model (AIC weight 0.98) reflected positive associations with sand patches near marshes and roadways. Model validation had an average capture rate of predated nests of 84.14&nbsp;% (26.17&ndash;97.38&nbsp;%, Q1 77.53&nbsp;%, median 88.07&nbsp;%, Q3 95.08&nbsp;%). Microhabitat selection results suggest that nests placed at the edges of sand patches adjacent to upland shrub/forest and marsh systems are vulnerable to predation. Forests and marshes provide cover and alternative resources for predators and roadways provide access; a suggestion is to focus nest protection efforts on the edges of dunes, near dense vegetation and roads.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11852-013-0260-5","usgsCitation":"Hackney, A.D., Baldwin, R.F., and Jodice, P.G., 2013, Mapping risk for nest predation on a barrier island: Journal of Coastal Conservation, v. 17, no. 3, p. 615-621, https://doi.org/10.1007/s11852-013-0260-5.","productDescription":"7 p.","startPage":"615","endPage":"621","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045886","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Fisherman Island National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.98505020141602,\n              37.0818864912263\n            ],\n            [\n              -75.98505020141602,\n              37.11241953906062\n            ],\n            [\n              -75.93732833862305,\n              37.11241953906062\n            ],\n            [\n              -75.93732833862305,\n              37.0818864912263\n            ],\n            [\n              -75.98505020141602,\n              37.0818864912263\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-08","publicationStatus":"PW","scienceBaseUri":"5566eadde4b0d9246a9ec2f3","contributors":{"authors":[{"text":"Hackney, Amanda D.","contributorId":140958,"corporation":false,"usgs":false,"family":"Hackney","given":"Amanda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":547732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Robert F.","contributorId":96415,"corporation":false,"usgs":true,"family":"Baldwin","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":547730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":547731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045550,"text":"70045550 - 2013 - Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau","interactions":[],"lastModifiedDate":"2014-01-08T10:27:59","indexId":"70045550","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau","docAbstract":"Soil surface temperature is a critical boundary condition for the simulation of soil temperature by environmental models. It is influenced by atmospheric and soil conditions and by vegetation cover. In sophisticated land surface models, it is simulated iteratively by solving surface energy budget equations. In ecosystem, permafrost, and hydrology models, the consideration of soil surface temperature is generally simple. In this study, we developed a methodology for representing the effects of vegetation cover and atmospheric factors on the estimation of soil surface temperature for alpine grassland ecosystems on the Qinghai-Tibetan Plateau. Our approach integrated measurements from meteorological stations with simulations from a sophisticated land surface model to develop an equation set for estimating soil surface temperature. After implementing this equation set into an ecosystem model and evaluating the performance of the ecosystem model in simulating soil temperature at different depths in the soil profile, we applied the model to simulate interactions among vegetation cover, freeze-thaw cycles, and soil erosion to demonstrate potential applications made possible through the implementation of the methodology developed in this study. Results showed that (1) to properly estimate daily soil surface temperature, algorithms should use air temperature, downward solar radiation, and vegetation cover as independent variables; (2) the equation set developed in this study performed better than soil surface temperature algorithms used in other models; and (3) the ecosystem model performed well in simulating soil temperature throughout the soil profile using the equation set developed in this study. Our application of the model indicates that the representation in ecosystem models of the effects of vegetation cover on the simulation of soil thermal dynamics has the potential to substantially improve our understanding of the vulnerability of alpine grassland ecosystems to changes in climate and grazing regimes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrg.20093","usgsCitation":"Yi, S., Li, N., Xiang, B., Wang, X., Ye, B., and McGuire, A., 2013, Representing the effects of alpine grassland vegetation cover on the simulation of soil thermal dynamics by ecosystem models applied to the Qinghai-Tibetan Plateau: Journal of Geophysical Research: Biogeosciences, v. 118, no. 3, p. 1186-1199, https://doi.org/10.1002/jgrg.20093.","productDescription":"14 p.","startPage":"1186","endPage":"1199","numberOfPages":"14","ipdsId":"IP-042137","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":280703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280702,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrg.20093"}],"country":"China","state":"Qinghai;Tibet","otherGeospatial":"Qinghai-tibetan Plateau","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 75.0,20.0 ], [ 75.0,40.0 ], [ 105.0,40.0 ], [ 105.0,20.0 ], [ 75.0,20.0 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"53cd707ae4b0b2908510711d","contributors":{"authors":[{"text":"Yi, S.","contributorId":33936,"corporation":false,"usgs":false,"family":"Yi","given":"S.","email":"","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":477827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, N.","contributorId":64551,"corporation":false,"usgs":true,"family":"Li","given":"N.","email":"","affiliations":[],"preferred":false,"id":477829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiang, B.","contributorId":15515,"corporation":false,"usgs":true,"family":"Xiang","given":"B.","affiliations":[],"preferred":false,"id":477824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, X.","contributorId":22076,"corporation":false,"usgs":true,"family":"Wang","given":"X.","email":"","affiliations":[],"preferred":false,"id":477826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ye, B.","contributorId":55329,"corporation":false,"usgs":true,"family":"Ye","given":"B.","email":"","affiliations":[],"preferred":false,"id":477828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":477825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193599,"text":"70193599 - 2013 - Discussion: Numerical study on the entrainment of bed material into rapid landslides","interactions":[],"lastModifiedDate":"2021-03-16T12:54:01.397544","indexId":"70193599","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1825,"text":"Geotechnique","active":true,"publicationSubtype":{"id":10}},"title":"Discussion: Numerical study on the entrainment of bed material into rapid landslides","docAbstract":"<p>A paper recently published in this journal (Pirulli &amp; Pastor, 2012) uses numerical modelling to study the important problem of entrainment of bed material by landslides. Unfortunately, some of the basic equations employed in the study are flawed, because they violate the principle of linear momentum conservation. Similar errors exist in some other studies of entrainment, and the errors appear to stem from confusion about the role of bed-sediment inertia in differing frames of reference.<br></p>","language":"English","publisher":"ICE Publishing","doi":"10.1680/geot.12.D.007","usgsCitation":"Iverson, R.M., 2013, Discussion: Numerical study on the entrainment of bed material into rapid landslides: Geotechnique, v. 63, no. 10, p. 887-888, https://doi.org/10.1680/geot.12.D.007.","productDescription":"2 p.","startPage":"887","endPage":"888","numberOfPages":"2","ipdsId":"IP-043297","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07ef0ae4b09af898c8cd7b","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":720844,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148139,"text":"70148139 - 2013 - A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays","interactions":[],"lastModifiedDate":"2015-05-27T14:21:13","indexId":"70148139","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays","docAbstract":"<p><span>We developed a spatial capture&ndash;recapture model to evaluate survival and activity centres (i.e., mean locations) of tagged individuals detected along a linear array. Our spatially explicit version of the Cormack&ndash;Jolly&ndash;Seber model, analyzed using a Bayesian framework, correlates movement between periods and can incorporate environmental or other covariates. We demonstrate the model using 2010 data for anadromous American shad (</span><i>Alosa sapidissima</i><span>) tagged with passive integrated transponders (PIT) at a weir near the mouth of a North Carolina river and passively monitored with an upstream array of PIT antennas. The river channel constrained migrations, resulting in linear, one-dimensional encounter histories that included both weir captures and antenna detections. Individual activity centres in a given time period were a function of the individual&rsquo;s previous estimated location and the river conditions (i.e., gage height). Model results indicate high within-river spawning mortality (mean weekly survival = 0.80) and more extensive movements during elevated river conditions. This model is applicable for any linear array (e.g., rivers, shorelines, and corridors), opening new opportunities to study demographic parameters, movement or migration, and habitat use.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0198","usgsCitation":"Raabe, J.K., Gardner, B., and Hightower, J.E., 2013, A spatial capture-recapture model to estimate fish survival and location from linear continuous monitoring arrays: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 1, p. 120-130, https://doi.org/10.1139/cjfas-2013-0198.","productDescription":"11 p.","startPage":"120","endPage":"130","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044001","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Little 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K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":547783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148278,"text":"70148278 - 2013 - Near-field tsunami edge waves and complex earthquake rupture","interactions":[],"lastModifiedDate":"2015-05-27T10:28:27","indexId":"70148278","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Near-field tsunami edge waves and complex earthquake rupture","docAbstract":"<p><span>The effect of distributed coseismic slip on progressive, near-field edge waves is examined for continental shelf tsunamis. Detailed observations of edge waves are difficult to separate from the other tsunami phases that are observed on tide gauge records. In this study, analytic methods are used to compute tsunami edge waves distributed over a finite number of modes and for uniformly sloping bathymetry. Coseismic displacements from static elastic theory are introduced as initial conditions in calculating the evolution of progressive edge-waves. Both simple crack representations (constant stress drop) and stochastic slip models (heterogeneous stress drop) are tested on a fault with geometry similar to that of the&nbsp;</span><i class=\"a-plus-plus\">M</i><span>&nbsp;</span><span class=\"a-plus-plus\">w</span><span>&nbsp;=&nbsp;8.8 2010 Chile earthquake. Crack-like ruptures that are beneath or that span the shoreline result in similar longshore patterns of maximum edge-wave amplitude. Ruptures located farther offshore result in reduced edge-wave excitation, consistent with previous studies. Introduction of stress-drop heterogeneity by way of stochastic slip models results in significantly more variability in longshore edge-wave patterns compared to crack-like ruptures for the same offshore source position. In some cases, regions of high slip that are spatially distinct will yield sub-events, in terms of tsunami generation. Constructive interference of both non-trapped and trapped waves can yield significantly larger tsunamis than those that produced by simple earthquake characterizations.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-012-0491-7","usgsCitation":"Geist, E.L., 2013, Near-field tsunami edge waves and complex earthquake rupture: Pure and Applied Geophysics, v. 170, no. 9-10, p. 1475-1491, https://doi.org/10.1007/s00024-012-0491-7.","productDescription":"27 p.","startPage":"1475","endPage":"1491","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036607","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","issue":"9-10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-22","publicationStatus":"PW","scienceBaseUri":"5566eadee4b0d9246a9ec2f5","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150 egeist@usgs.gov","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":1956,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"egeist@usgs.gov","middleInitial":"L.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547653,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70155224,"text":"70155224 - 2013 - Female elk contacts are neither frequency nor density dependent","interactions":[],"lastModifiedDate":"2015-08-05T09:52:37","indexId":"70155224","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Female elk contacts are neither frequency nor density dependent","docAbstract":"<p><span>Identifying drivers of contact rates among individuals is critical to understanding disease dynamics and implementing targeted control measures. We studied the interaction patterns of 149 female elk (</span><i>Cervus canadensis</i><span>) distributed across five different regions of western Wyoming over three years, defining a contact as an approach within one body length (&sim;2 m). Using hierarchical models that account for correlations within individuals, pairs, and groups, we found that pairwise contact rates within a group declined by a factor of three as group sizes increased 33-fold. Per capita contact rates, however, increased with group size according to a power function, such that female elk contact rates fell in between the predictions of density- or frequency-dependent disease models. We found similar patterns for the duration of contacts. Our results suggest that larger elk groups are likely to play a disproportionate role in the disease dynamics of directly transmitted infections in elk. Supplemental feeding of elk had a limited impact on pairwise interaction rates and durations, but per capita rates were more than two times higher on feeding grounds. Our statistical approach decomposes the variation in contact rate into individual, dyadic, and environmental effects, and provides insight into factors that may be targeted by disease control programs. In particular, female elk contact patterns were driven more by environmental factors such as group size than by either individual or dyad effects.</span><br /><br /></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-2086.1","usgsCitation":"Cross, P.C., Creech, T., Ebinger, M.R., Manlove, K.R., Irvine, K.M., Henningsen, J., Rogerson, J., Scurlock, B.M., and Creely, S., 2013, Female elk contacts are neither frequency nor density dependent: Ecology, v. 94, no. 9, p. 2076-2086, https://doi.org/10.1890/12-2086.1.","productDescription":"11 p.","startPage":"2076","endPage":"2086","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042556","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473581,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/12-2086.1","text":"External Repository"},{"id":306421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              42.407234661551875\n            ],\n            [\n              -111.0498046875,\n              44.06390660801779\n            ],\n            [\n              -108.753662109375,\n              44.06390660801779\n            ],\n            [\n              -108.753662109375,\n              42.407234661551875\n            ],\n            [\n              -111.0498046875,\n              42.407234661551875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"94","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c333ade4b033ef52106a93","contributors":{"authors":[{"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":565171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creech, Tyler G.","contributorId":89422,"corporation":false,"usgs":true,"family":"Creech","given":"Tyler G.","affiliations":[],"preferred":false,"id":565176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebinger, Michael R. mebinger@usgs.gov","contributorId":5771,"corporation":false,"usgs":true,"family":"Ebinger","given":"Michael","email":"mebinger@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manlove, Kezia R.","contributorId":74651,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":565174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":565170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henningsen, John C.","contributorId":8358,"corporation":false,"usgs":true,"family":"Henningsen","given":"John C.","affiliations":[],"preferred":false,"id":565172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogerson, Jared D.","contributorId":106401,"corporation":false,"usgs":true,"family":"Rogerson","given":"Jared D.","affiliations":[],"preferred":false,"id":565173,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":565177,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Creely, Scott","contributorId":16044,"corporation":false,"usgs":true,"family":"Creely","given":"Scott","email":"","affiliations":[],"preferred":false,"id":565178,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70189243,"text":"70189243 - 2013 - U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","interactions":[],"lastModifiedDate":"2017-07-06T12:33:05","indexId":"70189243","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","docAbstract":"<p id=\"sp0005\">As part of the Geologic Waste Management Facility feasibility study, Atomic Energy of Canada Ltd. (AECL) is evaluating the suitability of the Chalk River Laboratories (CRL) site in Ontario, situated in crystalline rock of the southwestern Grenville Province, for the possible development of an underground repository for low- and intermediate-level nuclear waste. This paper presents petrographic and trace element analyses, U–Pb zircon dating results, and Rb–Sr, U–Pb and U-series isotopic analyses of gneissic drill core samples from the deep CRG-series characterization boreholes at the CRL site. The main rock types intersected in the boreholes include hornblende–biotite (±pyroxene) gneisses of granitic to granodioritic composition, leucocratic granitic gneisses with sparse mafic minerals, and garnet-bearing gneisses with variable amounts of biotite and/or hornblende. The trace element data for whole-rock samples plot in the fields of within-plate, syn-collision, and volcanic arc-type granites in discrimination diagrams used for the tectonic interpretation of granitic rocks.</p><p id=\"sp0010\">Zircons separated from biotite gneiss and metagranite samples yielded SHRIMP-RG U–Pb ages of 1472&nbsp;±&nbsp;14 (2<i>σ</i>) and 1045&nbsp;±&nbsp;6&nbsp;Ma, respectively, in very good agreement with widespread Early Mesoproterozoic plutonic ages and Ottawan orogeny ages in the Central Gneiss Belt. The Rb–Sr, U–Pb, and Pb–Pb whole-rock errorchron apparent ages of most of the CRL gneiss samples are consistent with zircon U–Pb age and do not indicate substantial large-scale preferential element mobility during superimposed metamorphic and water/rock interaction processes. This may confirm the integrity of the rock mass, which is a positive attribute for a potential nuclear waste repository. Most<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U activity ratios (AR) in whole rock samples are within errors of the secular equilibrium value of one, indicating that the rocks have not experienced any appreciable U loss or gain within the past 1&nbsp;Ma. However,<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U AR in fracture mineral samples collected down to borehole lengths of about 740&nbsp;m deviate from the secular equilibrium value and<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U model ages calculated for fracture mineral samples showing excess<span>&nbsp;</span><sup>234</sup>U range from 593 to 1415&nbsp;ka, thus providing evidence of fracture flow in the associated bedrock during the past 1.5&nbsp;Ma. Rare earth element patterns are variable in fracture-filling calcites and Fe oxides/hydroxides but are similar to those observed in associated whole-rock samples. The observed Ce anomalies are very small (<span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow></msub><mo is=&quot;true&quot;>/</mo><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2217;</mo></mrow></msubsup><mo is=&quot;true&quot;>&amp;#x2248;</mo><mn is=&quot;true&quot;>1</mn></mrow></math>\"><span class=\"MJX_Assistive_MathML\">CeN/CeN∗≈1</span></span>), do not vary with depth, and, therefore, do not contain evidence that the studied fracture minerals precipitated from oxidizing waters at the conceptual depth of a repository.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2013.06.004","usgsCitation":"Neymark, L., Peterman, Z., Moscati, R.J., and Thivierge, R.H., 2013, U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada: Applied Geochemistry, v. 36, p. 10-33, https://doi.org/10.1016/j.apgeochem.2013.06.004.","productDescription":"24 p.","startPage":"10","endPage":"33","ipdsId":"IP-038522","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Grenville Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e366","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":703683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":620,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell E.","email":"peterman@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":703698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":703699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thivierge, R. H.","contributorId":194312,"corporation":false,"usgs":false,"family":"Thivierge","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703700,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047945,"text":"70047945 - 2013 - Implications of multi-scale sea level and climate variability for coastal resources","interactions":[],"lastModifiedDate":"2013-08-30T16:16:40","indexId":"70047945","displayToPublicDate":"2013-08-30T16:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Implications of multi-scale sea level and climate variability for coastal resources","docAbstract":"While secular changes in regional sea levels and their implications for coastal zone management have been studied extensively, less attention is being paid to natural fluctuations in sea levels, whose interaction with a higher mean level could have significant impacts on low-lying areas, such as wetlands. Here, the long record of sea level at Key West, FL is studied in terms of both the secular trend and the multi-scale sea level variations. This analysis is then used to explore implications for the Everglades National Park (ENP), which is recognized internationally for its ecological significance, and is the site of the largest wetland restoration project in the world. Very shallow topographic gradients (3–6 cm per km) make the region susceptible to small changes in sea level. Observations of surface water levels from a monitoring network within ENP exhibit both the long-term trends and the interannual-to-(multi)decadal variability that are observed in the Key West record. Water levels recorded at four long-term monitoring stations within ENP exhibit increasing trends approximately equal to or larger than the long-term trend at Key West. Time- and frequency-domain analyses highlight the potential influence of climate mechanisms, such as the El Niño/Southern Oscillation and the North Atlantic Oscillation (NAO), on Key West sea levels and marsh water levels, and the potential modulation of their influence by the background state of the North Atlantic Sea Surface Temperatures. In particular, the Key West sea levels are found to be positively correlated with the NAO index, while the two series exhibit high spectral power during the transition to a cold Atlantic Multidecadal Oscillation (AMO). The correlation between the Key West sea levels and the NINO3 Index reverses its sign in coincidence with a reversal of the AMO phase. Water levels in ENP are also influenced by precipitation and freshwater releases from the northern boundary of the Park. The analysis of both climate variability and climate change in such wetlands is needed to inform management practices in coastal wetland zones around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10113-013-0408-8","usgsCitation":"Karamperidou, C., Engel, V., Lall, U., Stabenau, E., and Smith, T.J., 2013, Implications of multi-scale sea level and climate variability for coastal resources: Regional Environmental Change, v. 13, no. 1, p. 91-100, https://doi.org/10.1007/s10113-013-0408-8.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-030832","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":277223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277222,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-013-0408-8"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-01","publicationStatus":"PW","scienceBaseUri":"5221b0e8e4b001cbb8a34e97","contributors":{"authors":[{"text":"Karamperidou, Christina","contributorId":37630,"corporation":false,"usgs":true,"family":"Karamperidou","given":"Christina","email":"","affiliations":[],"preferred":false,"id":483356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Victor 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":45153,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","affiliations":[],"preferred":false,"id":483357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lall, Upmanu","contributorId":101172,"corporation":false,"usgs":true,"family":"Lall","given":"Upmanu","affiliations":[],"preferred":false,"id":483358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stabenau, Erik","contributorId":106784,"corporation":false,"usgs":true,"family":"Stabenau","given":"Erik","email":"","affiliations":[],"preferred":false,"id":483359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047923,"text":"70047923 - 2013 - Role of a polymorphism in a Hox/Pax-responsive enhancer in the evolution of the vertebrate spine","interactions":[],"lastModifiedDate":"2013-08-30T16:05:16","indexId":"70047923","displayToPublicDate":"2013-08-30T16:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Role of a polymorphism in a Hox/Pax-responsive enhancer in the evolution of the vertebrate spine","docAbstract":"Patterning of the vertebrate skeleton requires the coordinated activity of Hox genes. In particular, Hox10 proteins are essential to set the transition from thoracic to lumbar vertebrae because of their rib-repressing activity. In snakes, however, the thoracic region extends well into Hox10-expressing areas of the embryo, suggesting that these proteins are unable to block rib formation. Here, we show that this is not a result of the loss of rib-repressing properties by the snake proteins, but rather to a single base pair change in a Hox/Paired box (Pax)-responsive enhancer, which prevents the binding of Hox proteins. This polymorphism is also found in Paenungulata, such as elephants and manatees, which have extended rib cages. In vivo, this modified enhancer failed to respond to Hox10 activity, supporting its role in the extension of rib cages. In contrast, the enhancer could still interact with Hoxb6 and Pax3 to promote rib formation. These results suggest that a polymorphism in the Hox/Pax-responsive enhancer may have played a role in the evolution of the vertebrate spine by differently modulating its response to rib-suppressing and rib-promoting Hox proteins.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Science","doi":"10.1073/pnas.1300592110","usgsCitation":"Guerreiro, I., Nunes, A., Woltering, J.M., Casaca, A., Novoa, A., Vinagre, T., Hunter, M., Duboule, D., and Mallo, M., 2013, Role of a polymorphism in a Hox/Pax-responsive enhancer in the evolution of the vertebrate spine: Proceedings of the National Academy of Sciences, v. 110, no. 26, p. 10682-10686, https://doi.org/10.1073/pnas.1300592110.","productDescription":"5 p.","startPage":"10682","endPage":"10686","ipdsId":"IP-038658","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1300592110","text":"Publisher Index Page"},{"id":277221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277220,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1300592110"}],"volume":"110","issue":"26","noUsgsAuthors":false,"publicationDate":"2013-05-14","publicationStatus":"PW","scienceBaseUri":"5221b0e8e4b001cbb8a34e9f","contributors":{"authors":[{"text":"Guerreiro, Isabel","contributorId":92570,"corporation":false,"usgs":true,"family":"Guerreiro","given":"Isabel","email":"","affiliations":[],"preferred":false,"id":483303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nunes, Andreia","contributorId":10318,"corporation":false,"usgs":true,"family":"Nunes","given":"Andreia","email":"","affiliations":[],"preferred":false,"id":483297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woltering, Joost M.","contributorId":24674,"corporation":false,"usgs":true,"family":"Woltering","given":"Joost","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casaca, Ana","contributorId":22666,"corporation":false,"usgs":true,"family":"Casaca","given":"Ana","email":"","affiliations":[],"preferred":false,"id":483298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Novoa, Ana","contributorId":30125,"corporation":false,"usgs":true,"family":"Novoa","given":"Ana","email":"","affiliations":[],"preferred":false,"id":483300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vinagre, Tania","contributorId":87846,"corporation":false,"usgs":true,"family":"Vinagre","given":"Tania","email":"","affiliations":[],"preferred":false,"id":483302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":483296,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duboule, Denis","contributorId":66579,"corporation":false,"usgs":true,"family":"Duboule","given":"Denis","email":"","affiliations":[],"preferred":false,"id":483301,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mallo, Moises","contributorId":98205,"corporation":false,"usgs":true,"family":"Mallo","given":"Moises","email":"","affiliations":[],"preferred":false,"id":483304,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70047926,"text":"70047926 - 2013 - Estimating abundance while accounting for rarity, correlated behavior, and other sources of variation in counts","interactions":[],"lastModifiedDate":"2013-08-30T15:55:29","indexId":"70047926","displayToPublicDate":"2013-08-30T15:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance while accounting for rarity, correlated behavior, and other sources of variation in counts","docAbstract":"The class of N-mixture models allows abundance to be estimated from repeated, point count surveys while adjusting for imperfect detection of individuals. We developed an extension of N-mixture models to account for two commonly observed phenomena in point count surveys: rarity and lack of independence induced by unmeasurable sources of variation in the detectability of individuals. Rarity increases the number of locations with zero detections in excess of those expected under simple models of abundance (e.g., Poisson or negative binomial). Correlated behavior of individuals and other phenomena, though difficult to measure, increases the variation in detection probabilities among surveys. Our extension of N-mixture models includes a hurdle model of abundance and a beta-binomial model of detectability that accounts for additional (extra-binomial) sources of variation in detections among surveys. As an illustration, we fit this model to repeated point counts of the West Indian manatee, which was observed in a pilot study using aerial surveys. Our extension of N-mixture models provides increased flexibility. The effects of different sets of covariates may be estimated for the probability of occurrence of a species, for its mean abundance at occupied locations, and for its detectability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-1365.1","usgsCitation":"Dorazio, R.M., Martin, J., and Edwards, H.H., 2013, Estimating abundance while accounting for rarity, correlated behavior, and other sources of variation in counts: Ecology, v. 94, no. 7, p. 1472-1478, https://doi.org/10.1890/12-1365.1.","productDescription":"7 p.","startPage":"1472","endPage":"1478","ipdsId":"IP-039066","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":277217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277216,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1365.1"}],"volume":"94","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0e7e4b001cbb8a34e93","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Juulien","contributorId":62119,"corporation":false,"usgs":true,"family":"Martin","given":"Juulien","email":"","affiliations":[],"preferred":false,"id":483311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Holly H.","contributorId":66419,"corporation":false,"usgs":true,"family":"Edwards","given":"Holly","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483312,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047925,"text":"sir20135141 - 2013 - Comparison of methods for predicting shear-wave velocities of unconsolidated shallow sediments in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2019-04-04T15:20:02","indexId":"sir20135141","displayToPublicDate":"2013-08-30T12:26:46","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5141","title":"Comparison of methods for predicting shear-wave velocities of unconsolidated shallow sediments in the Gulf of Mexico","docAbstract":"Accurate shear-wave velocities for shallow sediments are important for a variety of seismic applications such as inver-sion and amplitude versus offset analysis. During the U.S. Department of Energy-sponsored Gas Hydrate Joint Industry Project Leg II, shear-wave velocities were measured at six wells in the Gulf of Mexico using the logging-while-drilling SonicScope acoustic tool. Because the tool measurement point was only 35 feet from the drill bit, the adverse effect of the borehole condition, which is severe for the shallow unconsolidated sediments in the Gulf of Mexico, was mini-mized and accurate shear-wave velocities of unconsolidated sediments were measured. Measured shear-wave velocities were compared with the shear-wave velocities predicted from the compressional-wave velocities using empirical formulas and the rock physics models based on the Biot-Gassmann theory, and the effectiveness of the two prediction methods was evaluated. Although the empirical equation derived from measured shear-wave data is accurate for predicting shear-wave velocities for depths greater than 500 feet in these wells, the three-phase Biot-Gassmann-theory -based theory appears to be optimum for predicting shear-wave velocities for shallow unconsolidated sediments in the Gulf of Mexico.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135141","usgsCitation":"Lee, M.W., 2013, Comparison of methods for predicting shear-wave velocities of unconsolidated shallow sediments in the Gulf of Mexico: U.S. Geological Survey Scientific Investigations Report 2013-5141, iii, 11 p., https://doi.org/10.3133/sir20135141.","productDescription":"iii, 11 p.","numberOfPages":"19","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135141.gif"},{"id":277189,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5141/"},{"id":277190,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5141/pdf/SIR13-5141.pdf"}],"country":"United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.86,18.18 ], [ -97.86,30.4 ], [ -81.04,30.4 ], [ -81.04,18.18 ], [ -97.86,18.18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0e9e4b001cbb8a34ea7","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":483309,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047902,"text":"fs20133050 - 2013 - The 3D Elevation Program: summary for Colorado","interactions":[],"lastModifiedDate":"2016-08-17T16:09:22","indexId":"fs20133050","displayToPublicDate":"2013-08-30T08:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3050","title":"The 3D Elevation Program: summary for Colorado","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Colorado, elevation data are critical for natural resources conservation, agriculture and precision farming, infrastructure and construction management, flood risk management, geologic resource assessment and hazards mitigation, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 interferometric synthetic aperture radar (ifsar) data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133050","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Colorado (Originally posted August 29, 2013; Version 1.1: June 27, 2014): U.S. Geological Survey Fact Sheet 2013-3050, 2 p., https://doi.org/10.3133/fs20133050.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial 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posted August 29, 2013; Version 1.1: June 27, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5221b0eae4b001cbb8a34eab","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":483251,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047883,"text":"70047883 - 2013 - In vitro prion protein conversion suggests risk of bighorn sheep (Ovis canadensis) to transmissible spongiform encephalopathies","interactions":[],"lastModifiedDate":"2015-06-17T14:06:35","indexId":"70047883","displayToPublicDate":"2013-08-29T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":959,"text":"BMC Veterinary Research","active":true,"publicationSubtype":{"id":10}},"title":"In vitro prion protein conversion suggests risk of bighorn sheep (Ovis canadensis) to transmissible spongiform encephalopathies","docAbstract":"<p>Background: Transmissible spongiform encephalopathies (TSEs) affect both domestic sheep (scrapie) and captive and free-ranging cervids (chronic wasting disease; CWD). The geographical range of bighorn sheep (Ovis canadensis; BHS) overlaps with states or provinces that have contained scrapie-positive sheep or goats and areas with present epizootics of CWD in cervids. No TSEs have been documented in BHS, but the susceptibility of this species to TSEs remains unknown. Results: We acquired a library of BHS tissues and found no evidence of preexisting TSEs in these animals. The prion protein gene (Prnp) in all BHS in our library was identical to scrapie-susceptible domestic sheep (A<sup>136</sup>R <sup>154</sup>Q<sup>171</sup>). Using an in vitro prion protein conversion assay, which has been previously used to assess TSE species barriers and, in our study appears to recollect known species barriers in mice, we assessed the potential transmissibility of TSEs to BHS. As expected based upon Prnp genotype, we observed BHS prion protein conversion by classical scrapie agent and evidence for a species barrier between transmissible mink encephalopathy (TME) and BHS. Interestingly, our data suggest that the species barrier of BHS to white-tailed deer or wapiti CWD agents is likely low. We also used protein misfolding cyclic amplification to confirm that CWD, but not TME, can template prion protein misfolding in A<sup>136</sup>R <sup>154</sup>Q<sup>171</sup>genotype sheep. Conclusions: Our results indicate the in vitro conversion assay used in our study does mimic the species barrier of mice to the TSE agents that we tested. Based on Prnp genotype and results from conversion assays, BHS are likely to be susceptible to infection by classical scrapie. Despite mismatches in amino acids thought to modulate prion protein conversion, our data indicate that A136R154Q171 genotype sheep prion protein is misfolded by CWD agent, suggesting that these animals could be susceptible to CWD. Further investigation of TSE transmissibility to BHS, including animal studies, is warranted. The lack of reported TSEs in BHS may be attributable to other host factors or a lack of TSE surveillance in this species.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BMC Veterinary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioMed Central","doi":"10.1186/1746-6148-9-157","usgsCitation":"Johnson, C.J., Morawski, A., Carlson, C., and Chang, H., 2013, In vitro prion protein conversion suggests risk of bighorn sheep (Ovis canadensis) to transmissible spongiform encephalopathies: BMC Veterinary Research, v. 9, 157: 12 p., https://doi.org/10.1186/1746-6148-9-157.","productDescription":"157: 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045560","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1746-6148-9-157","text":"Publisher Index 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 \"}}]}","volume":"9","noUsgsAuthors":false,"publicationDate":"2013-08-09","publicationStatus":"PW","scienceBaseUri":"52205f5be4b0645fc25e8c14","contributors":{"authors":[{"text":"Johnson, Christopher J. cjjohnson@usgs.gov","contributorId":3491,"corporation":false,"usgs":true,"family":"Johnson","given":"Christopher","email":"cjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":483216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morawski, A.R.","contributorId":55318,"corporation":false,"usgs":true,"family":"Morawski","given":"A.R.","affiliations":[],"preferred":false,"id":483217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, C.M.","contributorId":68208,"corporation":false,"usgs":true,"family":"Carlson","given":"C.M.","affiliations":[],"preferred":false,"id":483218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, H.","contributorId":94958,"corporation":false,"usgs":true,"family":"Chang","given":"H.","email":"","affiliations":[],"preferred":false,"id":483219,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047848,"text":"sir20135148 - 2013 - Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","interactions":[],"lastModifiedDate":"2013-08-27T15:32:05","indexId":"sir20135148","displayToPublicDate":"2013-08-27T15:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5148","title":"Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","docAbstract":"Precipitation that fell from April 19 through May 3, 2011, resulted in widespread flooding across northern and eastern Arkansas and southern Missouri. The first storm produced a total of approximately 16 inches of precipitation over an 8-day period, and the following storms produced as much as 12 inches of precipitation over a 2-day period. Moderate to major flooding occurred quickly along many streams within Arkansas and Missouri (including the Black, Cache, Illinois, St. Francis, and White Rivers) at levels that had not been seen since the historic 1927 floods. The 2011 flood claimed an estimated 21 lives in Arkansas and Missouri, and damage caused by the flooding resulted in a Federal Disaster Declaration for 59 Arkansas counties that received Federal or State assistance. To further the goal of documenting and understanding floods, the U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers–Little Rock and Memphis Districts, and Arkansas Natural Resources Commission, conducted a study to summarize meteorological and hydrological conditions before the flood; computed flood-peak magnitudes for 39 streamgages; estimated annual exceedance probabilities for 37 of those streamgages; determined the joint probabilities for 11 streamgages paired to the Mississippi River at Helena, Arkansas, which refers to the probability that locations on two paired streams simultaneously experience floods of a magnitude greater than or equal to a given annual exceedance probability; collected high-water marks; constructed flood-peak inundation maps showing maximum flood extent and water depths; and summarized flood damages and effects.\n\nFor the period of record used in this report, peak-of-record stage occurred at 24 of the 39 streamgages, and peak-of-record streamflow occurred at 13 of the 30 streamgages where streamflow was determined. Annual exceedance probabilities were estimated to be less than 0.5 percent at three streamgages. The joint probability values for streamgages paired with the Mississippi River at Helena, Ark., streamgage indicate a low probability of concurrent flooding with the paired streamgages. The inundation maps show the flood-peak extent and water depth of flooding for two stream reaches on the White River and two on the Black River; the vicinities of the communities of Holly Grove and Cotton Plant, Ark.; a reach of the White River that includes the crossing of Interstate 40 north of De Valls Bluff, Ark.; and the Tailwaters of Beaver Dam near Eureka Springs, Ark., Table Rock Dam near Branson, Mo., and Bull Shoals Dam near Flippin, Ark. The data and inundation maps can be used for flood response, recovery, and planning efforts by Federal, State, and local agencies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135148","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers--Little Rock and Memphis Districts, and the Arkansas Natural Resources Commission","usgsCitation":"Westerman, D.A., Merriman, K., De Lanois, J.L., and Berenbrock, C., 2013, Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri: U.S. Geological Survey Scientific Investigations Report 2013-5148, Report: vii, 44 p.; Downloads Directory, https://doi.org/10.3133/sir20135148.","productDescription":"Report: vii, 44 p.; Downloads Directory","onlineOnly":"Y","temporalStart":"2011-04-19","temporalEnd":"2011-05-03","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":277054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135148.PNG"},{"id":277051,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5148/"},{"id":277052,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5148/pdf/sir2013-5148.pdf"},{"id":277053,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5148/Downloads/"}],"country":"United States","state":"Arkansas;Missouri","otherGeospatial":"Arkansas River Basin;St. Francis River Basin;White River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6179,34.7823 ], [ -94.6179,37.2905 ], [ -89.6448,37.2905 ], [ -89.6448,34.7823 ], [ -94.6179,34.7823 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521dcbc6e4b051c878dc355d","contributors":{"authors":[{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merriman, Katherine R.","contributorId":34418,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine R.","affiliations":[],"preferred":false,"id":483140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Lanois, Jeanne L. jdelanoi@usgs.gov","contributorId":4672,"corporation":false,"usgs":true,"family":"De Lanois","given":"Jeanne","email":"jdelanoi@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":483138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":483139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047842,"text":"ofr20131180 - 2013 - Reconnaissance investigation of the alluvial gold deposits in the North Takhar Area of Interest, Takhar Province, Afghanistan","interactions":[],"lastModifiedDate":"2013-08-27T09:19:59","indexId":"ofr20131180","displayToPublicDate":"2013-08-27T09:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1180","title":"Reconnaissance investigation of the alluvial gold deposits in the North Takhar Area of Interest, Takhar Province, Afghanistan","docAbstract":"This study is a reconnaissance assessment of the alluvial gold deposits of the North Takhar Area of Interest (AOI) in Takhar Province, Afghanistan. Soviet and Afghan geologists collected data and calculated the gold deposit reserves in Takhar Province in the 1970s, prior to the development of satellite-based remote-sensing platforms and new methods of geomorphic mapping. The purpose of this study was to integrate new mapping techniques with previously collected borehole sampling and concentration sampling data and geomorphologic interpretations to reassess the alluvial gold placer deposits in the North Takhar AOI. Through a combination of historical borehole and cross-section data and digital terrain modeling, the Samti, Nooraba-Khasar-Anjir, and Kocha River placer deposits were reassessed. Resource estimates were calculated to be 20,927 kilograms (kg) for Samti, 7,626 kg for Nooraba-Khasar-Anjir, 160 kg for the mouth of the Kocha, 1,047 kg for the lower Kocha, 113 kg for the middle Kocha, and 168 kg for the upper Kocha. Previous resource estimates conducted by the Soviets for the Samti and Nooraba-Khasar-Anjir deposits estimated 30,062 kg and 802 kg of gold, respectively. This difference between the new estimates and previous estimates results from the higher resolution geomorphic model and the interpretation of areas outside of the initial work zone studied by Soviet and Afghan geologists.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131180","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense Task Force for Business and Stability Operations; USGS Afghanistan Project Product No. 184","usgsCitation":"Chirico, P., Malpeli, K., and Moran, T., 2013, Reconnaissance investigation of the alluvial gold deposits in the North Takhar Area of Interest, Takhar Province, Afghanistan: U.S. Geological Survey Open-File Report 2013-1180, iv, 14 p.; 6 Figures: 35 x 31 inches, https://doi.org/10.3133/ofr20131180.","productDescription":"iv, 14 p.; 6 Figures: 35 x 31 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":277044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131180.gif"},{"id":277037,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1180/pdf/of2013-1180.pdf"},{"id":277038,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1180/pdf/of2013-1180_figure1.pdf"},{"id":277039,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1180/pdf/of2013-1180_figure2.pdf"},{"id":277040,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1180/pdf/of2013-1180_figure3.pdf"},{"id":277041,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1180/pdf/of2013-1180_figure4.pdf"},{"id":277042,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1180/pdf/of2013-1180_figure5.pdf"},{"id":277043,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1180/pdf/of2013-1180_figure6.pdf"},{"id":277036,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1180/"}],"country":"Afghanistan","state":"Takhar Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 74.89,29.38 ], [ 74.89,38.49 ], [ 60.52,38.49 ], [ 60.52,29.38 ], [ 74.89,29.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a64065e4b0a6d695882609","contributors":{"authors":[{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":483115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malpeli, Katherine C.","contributorId":55106,"corporation":false,"usgs":true,"family":"Malpeli","given":"Katherine C.","affiliations":[],"preferred":false,"id":483116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Thomas W.","contributorId":102999,"corporation":false,"usgs":true,"family":"Moran","given":"Thomas W.","affiliations":[],"preferred":false,"id":483117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047841,"text":"ofr20131179 - 2013 - Reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest, Ghazni Province, Afghanistan","interactions":[],"lastModifiedDate":"2013-08-27T09:20:54","indexId":"ofr20131179","displayToPublicDate":"2013-08-27T08:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1179","title":"Reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest, Ghazni Province, Afghanistan","docAbstract":"This study is a reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest (AOI) in Ghazni Province, Afghanistan. Detailed investigations of the Zarkashan gold deposits were conducted by Soviet and Afghan geologists in the 1960s and 1970s, prior to the development of satellite-based remote-sensing platforms and new methods of geomorphic mapping. The purpose of this study was to integrate new mapping techniques with previously collected concentration and borehole sampling data and geomorphologic interpretations to reassess the placer gold deposits in the Zarkashan AOI. A methodology combining the collection and analysis of historical sampling data, digital database development, hydrologic analysis, and geomorphic modeling was used. The analysis led to the reinterpretation of four gold-bearing seams along the Zarkashan River, and the calculation of an estimated gold reserve of approximately 3,000 kilograms (kg). This estimate is approximately 1,500 kg greater than the Soviet estimate. The result differs in large part due to the reinterpretation of the seams based on a much lower cutoff grade of 100 mg/m<sup>3</sup>. Because cutoff grade is dependent in part on the price of gold, the sevenfold increase in the price of gold since the undertaking of the Soviet investigation warranted our re-evaluation of their 500 mg/m<sup>3</sup> cutoff grade.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131179","collaboration":"Prepared in cooperation with the Afghan Geological Survey under the auspices of the U.S. Department of Defense Task Force for Business and Stability Operations; USGS Afghanistan Project Product No. 185","usgsCitation":"Malpeli, K., Chirico, P., and McLoughlin, I.H., 2013, Reconnaissance investigation of the placer gold deposits in the Zarkashan Area of Interest, Ghazni Province, Afghanistan: U.S. Geological Survey Open-File Report 2013-1179, iv, 12 p.; 4 Figures: 40 x 26 inches, https://doi.org/10.3133/ofr20131179.","productDescription":"iv, 12 p.; 4 Figures: 40 x 26 inches","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":277034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131179.gif"},{"id":277029,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1179/"},{"id":277028,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179.pdf"},{"id":277030,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure1.pdf"},{"id":277031,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure2.pdf"},{"id":277032,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure3.pdf"},{"id":277033,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1179/pdf/of2013-1179_figure4.pdf"}],"country":"Afghanistan","otherGeospatial":"Ghazni Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 67.0,32.583333 ], [ 67.0,33.333333 ], [ 68.5,33.333333 ], [ 68.5,32.583333 ], [ 67.0,32.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a64066e4b0a6d69588260d","contributors":{"authors":[{"text":"Malpeli, Katherine C.","contributorId":55106,"corporation":false,"usgs":true,"family":"Malpeli","given":"Katherine C.","affiliations":[],"preferred":false,"id":483113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":483112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLoughlin, Isabel H.","contributorId":63295,"corporation":false,"usgs":true,"family":"McLoughlin","given":"Isabel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":483114,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047809,"text":"fs20133077 - 2013 - Assessing hazards along our Nation's coasts","interactions":[],"lastModifiedDate":"2023-04-03T16:23:52.131872","indexId":"fs20133077","displayToPublicDate":"2013-08-27T08:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3077","title":"Assessing hazards along our Nation's coasts","docAbstract":"Coastal areas are essential to the economic, cultural, and environmental health of the Nation, yet by nature coastal areas are constantly changing due to a variety of events and processes. Extreme storms can cause dramatic changes to our shorelines in a matter of hours, while sea-level rise can profoundly alter coastal environments over decades. These changes can have a devastating impact on coastal communities, such as the loss of homes built on retreating sea cliffs or protective dunes eroded by storm waves. Sometimes, however, the changes can be positive, such as new habitat created by storm deposits. The U.S. Geological Survey (USGS) is meeting the need for scientific understanding of how our coasts respond to different hazards with continued assessments of current and future changes along U.S. coastlines. Through the National Assessment of Coastal Change Hazards (NACCH), the USGS carries out the unique task of quantifying coastal change hazards along open-ocean coasts in the United States and its territories. Residents of coastal communities, emergency managers, and other stakeholders can use science-based data, tools, models, and other products to improve planning and enhance resilience.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133077","usgsCitation":"Stockdon, H.F., Hapke, C.J., Thieler, E.R., and Plant, N.G., 2013, Assessing hazards along our Nation's coasts: U.S. Geological Survey Fact Sheet 2013-3077, 2 p., https://doi.org/10.3133/fs20133077.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049689","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277021,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133077.gif"},{"id":277020,"rank":2,"type":{"id":15,"text":"Index 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hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":483015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":868466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047756,"text":"70047756 - 2013 - Effects of fire on the thermal stability of permafrost in lowland and upland black spruce forests of interior Alaska in a changing climate","interactions":[],"lastModifiedDate":"2013-08-28T15:51:33","indexId":"70047756","displayToPublicDate":"2013-08-26T12:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of fire on the thermal stability of permafrost in lowland and upland black spruce forests of interior Alaska in a changing climate","docAbstract":"Fire is an important factor controlling the composition and thickness of the organic layer in the black spruce forest ecosystems of interior Alaska. Fire that burns the organic layer can trigger dramatic changes in the underlying permafrost, leading to accelerated ground thawing within a relatively short time. In this study, we addressed the following questions. (1) Which factors determine post-fire ground temperature dynamics in lowland and upland black spruce forests? (2) What levels of burn severity will cause irreversible permafrost degradation in these ecosystems?\n\nWe evaluated these questions in a transient modeling–sensitivity analysis framework to assess the sensitivity of permafrost to climate, burn severity, soil organic layer thickness, and soil moisture content in lowland (with thick organic layers, ~80 cm) and upland (with thin organic layers, ~30 cm) black spruce ecosystems. The results indicate that climate warming accompanied by fire disturbance could significantly accelerate permafrost degradation. In upland black spruce forest, permafrost could completely degrade in an 18 m soil column within 120 years of a severe fire in an unchanging climate. In contrast, in a lowland black spruce forest, permafrost is more resilient to disturbance and can persist under a combination of moderate burn severity and climate warming.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Physics","doi":"10.1088/1748-9326/8/3/035030","usgsCitation":"Jafarov, E.E., Romanovsky, V.E., Genet, H., McGuire, A.D., and Marchenko, S., 2013, Effects of fire on the thermal stability of permafrost in lowland and upland black spruce forests of interior Alaska in a changing climate: Environmental Research Letters, v. 8, no. 3, 11 p., https://doi.org/10.1088/1748-9326/8/3/035030.","productDescription":"11 p.","numberOfPages":"11","ipdsId":"IP-045567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473588,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035030","text":"Publisher Index Page"},{"id":277131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277130,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/3/035030"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-08-27","publicationStatus":"PW","scienceBaseUri":"521f1be5e4b0f8bf2b076100","contributors":{"authors":[{"text":"Jafarov, Elchin E.","contributorId":40880,"corporation":false,"usgs":true,"family":"Jafarov","given":"Elchin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanovsky, Vladimir E.","contributorId":40113,"corporation":false,"usgs":true,"family":"Romanovsky","given":"Vladimir","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genet, Helene","contributorId":95370,"corporation":false,"usgs":true,"family":"Genet","given":"Helene","affiliations":[],"preferred":false,"id":482902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":482898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marchenko, Sergey S.","contributorId":93368,"corporation":false,"usgs":true,"family":"Marchenko","given":"Sergey S.","affiliations":[],"preferred":false,"id":482901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047814,"text":"70047814 - 2013 - Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios","interactions":[],"lastModifiedDate":"2017-01-12T11:40:25","indexId":"70047814","displayToPublicDate":"2013-08-26T08:32:00","publicationYear":"2013","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":"Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios","docAbstract":"<p><span>Coastal eutrophication in the northern Gulf of Mexico (GOM) is the primary anthropogenic contributor to the largest zone of hypoxic bottom waters in North America. Although biologically mediated processes such as denitrification (Dn) are known to act as sinks for inorganic nitrogen, it is unknown what contribution denitrification makes to landscape-scale nitrogen budgets along the coast. As the State of Louisiana plans the implementation of a 2012 Coastal Master Plan (MP) to help restore its wetlands and protect its coast, it is critical to understand what effect potential restoration projects may have in altering nutrient budgets. As part of the MP, a spatial statistical approach was developed to estimate nitrogen removal under varying scenarios of future conditions and coastal restoration project implementation. In every scenario of future conditions under which MP implementation was modeled, more nitrogen (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm01.gif\" alt=\"\" data-mce-src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm01.gif\"></span><span>) was removed from coastal waters when compared with conditions under which no action is taken. Overall, the MP increased coast-wide average nitrogen removal capacity (NRC) rates by up to 0.55 g N m</span><sup>−2</sup><span> y</span><sup>−1</sup><span> compared with the “future without action” (FWOA) scenario, resulting in a conservative estimate of up to 25% removal of the annual</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm12.gif\" alt=\"\" data-mce-src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm12.gif\"></span><span> +</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm23.gif\" alt=\"\" data-mce-src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm23.gif\"></span><span> load of the Mississippi-Atchafalaya rivers (956,480 t y</span><sup>−1</sup><span>). These results are spatially correlated, with the lower Mississippi River and Chenier Plain exhibiting the greatest change in NRC. Since the implementation of the MP can maintain, and in some regions increase the NRC, our results show the need to preserve the functionality of wetland habitats and use this ecosystem service (</span><i>i.e</i><span>. Dn) to decrease eutrophication of the GOM.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI_67_6","usgsCitation":"Rivera-Monroy, V., Branoff, B., Meselhe, E., McCorquodale, A., Dortch, M., Steyer, G.D., Visser, J., and Wang, H., 2013, Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios: Journal of Coastal Research, v. Summer 2013, p. 75-87, https://doi.org/10.2112/SI_67_6.","productDescription":"13 p.","startPage":"75","endPage":"87","numberOfPages":"13","ipdsId":"IP-042639","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":276978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.8379 ], [ -88.8162,30.8379 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","volume":"Summer 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c6adde4b01458f7842907","contributors":{"authors":[{"text":"Rivera-Monroy, Victor H.","contributorId":34198,"corporation":false,"usgs":true,"family":"Rivera-Monroy","given":"Victor H.","affiliations":[],"preferred":false,"id":483034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branoff, Benjamin","contributorId":99874,"corporation":false,"usgs":true,"family":"Branoff","given":"Benjamin","affiliations":[],"preferred":false,"id":483038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meselhe, Ehab","contributorId":95333,"corporation":false,"usgs":true,"family":"Meselhe","given":"Ehab","email":"","affiliations":[],"preferred":false,"id":483037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCorquodale, Alex","contributorId":53685,"corporation":false,"usgs":true,"family":"McCorquodale","given":"Alex","email":"","affiliations":[],"preferred":false,"id":483036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dortch, Mark","contributorId":15507,"corporation":false,"usgs":true,"family":"Dortch","given":"Mark","email":"","affiliations":[],"preferred":false,"id":483033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":483031,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Visser, Jenneke","contributorId":40504,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","affiliations":[],"preferred":false,"id":483035,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":4421,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":483032,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047813,"text":"ofr20131122 - 2013 - User’s guide and reference to Ash3d—A three-dimensional model for Eulerian atmospheric tephra transport and deposition","interactions":[],"lastModifiedDate":"2021-04-16T11:44:27.105677","indexId":"ofr20131122","displayToPublicDate":"2013-08-23T16:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1122","displayTitle":"User’s Guide and Reference to Ash3d—A Three-Dimensional Model for Eulerian Atmospheric Tephra Transport and Deposition","title":"User’s guide and reference to Ash3d—A three-dimensional model for Eulerian atmospheric tephra transport and deposition","docAbstract":"<p>Ash3d is a three-dimensional Eulerian atmospheric model for tephra transport, dispersal, and deposition to study and forecast hazards of volcanic ash clouds and tephra fall. In this report, we explain how to set up simulations using a web interface, and how to view and interpret model output. We also summarize the architecture of the model and some of its properties.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131122","usgsCitation":"Mastin, L.G., Randall, M.J., Schwaiger, H.F., and Denlinger, R.P., 2021, User’s guide and reference to the web interface of Ash3d—A three-dimensional model for Eulerian atmospheric tephra transport and deposition (ver. 2.0, April 2021): U.S. Geological Survey Open-File Report 2013–1122, 25 p., https://doi.org/10.3133/ofr20131122.","productDescription":"Report: viii, 25 p.; Version History","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-112934","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":276973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1122/covrthb.jpg"},{"id":276972,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1122/ofr20131122.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":385065,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2013/1122/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0:May 2013; Version 2.0: April 2021","contact":"<p><a href=\"mailto:yvowebteam@usgs.gov\" data-mce-href=\"mailto:yvowebteam@usgs.gov\">Contact YVO</a><br><a href=\"https://volcanoes.usgs.gov/yvo/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/yvo/\">Volcano Science Center, Yellowstone Volcano Observatory</a><br>U.S. Geological Survey<br>345 Middlefield Road, MS 910<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Model Overview&nbsp;&nbsp;</li><li>Examples of Model Output&nbsp;&nbsp;</li><li>The Web Interface&nbsp;&nbsp;</li><li>Accessing the Interface&nbsp;&nbsp;</li><li>Creating a New Job&nbsp;&nbsp;</li><li>Entering Source Parameters&nbsp;&nbsp;</li><li>Running the Model&nbsp;&nbsp;</li><li>Model Results Page&nbsp;&nbsp;</li><li>Model Output Files&nbsp;&nbsp;</li><li>Limitations of the Graphical User Interface (GUI)&nbsp;&nbsp;</li><li>Concluding Remarks&nbsp;&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2013-08-23","revisedDate":"2021-04-13","noUsgsAuthors":false,"publicationDate":"2013-08-23","publicationStatus":"PW","scienceBaseUri":"5218765fe4b0e27b926cc671","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randall, Michael J. 0000-0001-7750-9612","orcid":"https://orcid.org/0000-0001-7750-9612","contributorId":44819,"corporation":false,"usgs":true,"family":"Randall","given":"Michael J.","affiliations":[],"preferred":false,"id":483030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwaiger, Hans F. 0000-0001-7397-8833 hschwaiger@usgs.gov","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":4108,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","email":"hschwaiger@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":483029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":483028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}