{"pageNumber":"1688","pageRowStart":"42175","pageSize":"25","recordCount":184605,"records":[{"id":70046360,"text":"70046360 - 2012 - Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T12:56:11","indexId":"70046360","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046360","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for September 21, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046360.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273534,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_09212004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f571e4b0097a7158e63f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479553,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044174,"text":"70044174 - 2012 - Magnetostratigraphy susceptibility for the Guadalupian Series GSSPs (Middle Permian) in Guadalupe Mountains National Park and adjacent areas in West Texas","interactions":[],"lastModifiedDate":"2013-04-22T10:44:52","indexId":"70044174","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Magnetostratigraphy susceptibility for the Guadalupian Series GSSPs (Middle Permian) in Guadalupe Mountains National Park and adjacent areas in West Texas","docAbstract":"Here we establish a magnetostratigraphy susceptibility zonation for the three Middle Permian Global boundary Stratotype Sections and Points (GSSPs) that have recently been defined, located in Guadalupe Mountains National Park, West Texas, USA. These GSSPs, all within the Middle Permian Guadalupian Series, define (1) the base of the Roadian Stage (base of the Guadalupian Series), (2) the base of the Wordian Stage and (3) the base of the Capitanian Stage. Data from two additional stratigraphic successions in the region, equivalent in age to the Kungurian–Roadian and Wordian–Capitanian boundary intervals, are also reported. Based on low-field, mass specific magnetic susceptibility (χ) measurements of 706 closely spaced samples from these stratigraphic sections and time-series analysis of one of these sections, we (1) define the magnetostratigraphy susceptibility zonation for the three Guadalupian Series Global boundary Stratotype Sections and Points; (2) demonstrate that χ datasets provide a proxy for climate cyclicity; (3) give quantitative estimates of the time it took for some of these sediments to accumulate; (4) give the rates at which sediments were accumulated; (5) allow more precise correlation to equivalent sections in the region; (6) identify anomalous stratigraphic horizons; and (7) give estimates for timing and duration of geological events within sections.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society, London, Special Publications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Geological Society","publisherLocation":"London, UK","doi":"10.1144/SP373.1","usgsCitation":"Wardlaw, B.R., Ellwood, B.B., Lambert, L.L., Tomkin, J.H., Bell, G.L., and Nestell, G.P., 2012, Magnetostratigraphy susceptibility for the Guadalupian Series GSSPs (Middle Permian) in Guadalupe Mountains National Park and adjacent areas in West Texas: Geological Society, London, Special Publications, v. 373, p. 21-21, https://doi.org/10.1144/SP373.1.","startPage":"21","endPage":"21","numberOfPages":"1","additionalOnlineFiles":"N","ipdsId":"IP-034315","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271338,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/SP373.1"}],"country":"United States","state":"Texas","volume":"373","noUsgsAuthors":false,"publicationDate":"2012-08-14","publicationStatus":"PW","scienceBaseUri":"51765beae4b0f989f99e00fb","contributors":{"authors":[{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":474985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellwood, Brooks B.","contributorId":44814,"corporation":false,"usgs":false,"family":"Ellwood","given":"Brooks","email":"","middleInitial":"B.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":474988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lambert, Lance L.","contributorId":9550,"corporation":false,"usgs":true,"family":"Lambert","given":"Lance","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tomkin, Jonathan H.","contributorId":85860,"corporation":false,"usgs":true,"family":"Tomkin","given":"Jonathan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bell, Gordon L.","contributorId":69639,"corporation":false,"usgs":true,"family":"Bell","given":"Gordon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nestell, Galina P.","contributorId":22651,"corporation":false,"usgs":false,"family":"Nestell","given":"Galina","email":"","middleInitial":"P.","affiliations":[{"id":12734,"text":"University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":474987,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045468,"text":"70045468 - 2012 - Variation in reproductive life history traits between two populations of Blackbanded Darters (Percina nigrofasciata)","interactions":[],"lastModifiedDate":"2013-05-15T10:55:17","indexId":"70045468","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Variation in reproductive life history traits between two populations of Blackbanded Darters (Percina nigrofasciata)","docAbstract":"We examined the life history of Blackbanded Darters (Percina nigrofasciata) from two streams in the Choctawhatchee River drainage, Florida, over a three-year study period. Blackbanded Darters from Turkey Creek were longer than fish from Ten Mile Creek; however, size-adjusted clutch and egg sizes were similar between populations. Larger females produced larger clutches, whereas egg size did not vary with female body size. Seasonally, clutch sizes were greater in May than in August. When contrasted with previous studies of Blackbanded Darters in Alabama and Louisiana, the reproductive season of Blackbanded Darters in Florida was unusually long, ceasing for only a few months in late fall. The reproductive season was longer in Turkey Creek than in Ten Mile Creek. Differences in thermal regime among streams may explain differences in life history traits among local and distant populations of Blackbanded Darters. This research, alone and in combination with previous studies of this species, emphasizes two main points. First, it reaffirms that life history studies based on a single locality or conducted at a single point in time may fail to capture the full range of variation in life history traits. Second, it highlights the extensive phenotypic variation found in species with broad geographic ranges. Such species lend themselves to comparative and experimental research on patterns and causes of life history variation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CI-11-169","usgsCitation":"Hughey, M.C., Heins, D.C., Jelks, H.L., Ory, B.A., and Jordan, F., 2012, Variation in reproductive life history traits between two populations of Blackbanded Darters (Percina nigrofasciata): Copeia, v. 4, p. 714-721, https://doi.org/10.1643/CI-11-169.","productDescription":"8 p.","startPage":"714","endPage":"721","ipdsId":"IP-028505","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":272287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CI-11-169"}],"country":"United States","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955851e4b0a933d82c4cdb","contributors":{"authors":[{"text":"Hughey, Myra C.","contributorId":57343,"corporation":false,"usgs":true,"family":"Hughey","given":"Myra","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heins, David C.","contributorId":105616,"corporation":false,"usgs":true,"family":"Heins","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":2962,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":477566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ory, Bridget A.","contributorId":47669,"corporation":false,"usgs":true,"family":"Ory","given":"Bridget","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jordan, Frank","contributorId":103405,"corporation":false,"usgs":true,"family":"Jordan","given":"Frank","affiliations":[],"preferred":false,"id":477569,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044500,"text":"70044500 - 2012 - Stable water isotopologue ratios in fog and cloud droplets of liquid clouds are not size-dependent","interactions":[],"lastModifiedDate":"2013-05-07T13:36:56","indexId":"70044500","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Stable water isotopologue ratios in fog and cloud droplets of liquid clouds are not size-dependent","docAbstract":"In this work, we present the first observations of stable water isotopologue ratios in cloud droplets of different sizes collected simultaneously. We address the question whether the isotope ratio of droplets in a liquid cloud varies as a function of droplet size. Samples were collected from a ground intercepted cloud (= fog) during the Hill Cap Cloud Thuringia 2010 campaign (HCCT-2010) using a three-stage Caltech Active Strand Cloud water Collector (CASCC). An instrument test revealed that no artificial isotopic fractionation occurs during sample collection with the CASCC. Furthermore, we could experimentally confirm the hypothesis that the δ values of cloud droplets of the relevant droplet sizes (μm-range) were not significantly different and thus can be assumed to be in isotopic equilibrium immediately with the surrounding water vapor. However, during the dissolution period of the cloud, when the supersaturation inside the cloud decreased and the cloud began to clear, differences in isotope ratios of the different droplet sizes tended to be larger. This is likely to result from the cloud's heterogeneity, implying that larger and smaller cloud droplets have been collected at different moments in time, delivering isotope ratios from different collection times.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Chemistry and Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/acp-12-9855-2012","usgsCitation":"Spiegel, J., Aemisegger, F., Scholl, M., Wienhold, F., Collett, J., Lee, T., van Pinxteren, D., Mertes, S., Tilgner, A., Herrmann, H., Werner, R., Buchmann, N., and Eugster, W., 2012, Stable water isotopologue ratios in fog and cloud droplets of liquid clouds are not size-dependent: Atmospheric Chemistry and Physics, v. 12, p. 9855-9863, https://doi.org/10.5194/acp-12-9855-2012.","productDescription":"9 p.","startPage":"9855","endPage":"9863","numberOfPages":"9","ipdsId":"IP-020677","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-12-9855-2012","text":"Publisher Index Page"},{"id":271963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271962,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/acp-12-9855-2012"}],"country":"United States","volume":"12","noUsgsAuthors":false,"publicationDate":"2012-10-29","publicationStatus":"PW","scienceBaseUri":"518a227ae4b061e1bd5334c4","contributors":{"authors":[{"text":"Spiegel, J.K.","contributorId":6738,"corporation":false,"usgs":true,"family":"Spiegel","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":475739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aemisegger, F.","contributorId":105614,"corporation":false,"usgs":true,"family":"Aemisegger","given":"F.","email":"","affiliations":[],"preferred":false,"id":475751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, M.","contributorId":32385,"corporation":false,"usgs":true,"family":"Scholl","given":"M.","affiliations":[],"preferred":false,"id":475745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wienhold, F.G.","contributorId":11489,"corporation":false,"usgs":true,"family":"Wienhold","given":"F.G.","email":"","affiliations":[],"preferred":false,"id":475740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, J.L. 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,{"id":70046354,"text":"70046354 - 2012 - Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:55:45","indexId":"70046354","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046354","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for August 29, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046354.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273513,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_08292004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56ee4b0097a7158e617","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046347,"text":"70046347 - 2012 - Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T11:30:08","indexId":"70046347","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046347","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for August 4, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046347.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273504,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_08042004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56ee4b0097a7158e61b","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479529,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046366,"text":"70046366 - 2012 - Upper Klamath Basin Landsat Image for November 8, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-10T13:41:00","indexId":"70046366","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for November 8, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-5 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046366","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for November 8, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046366.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273549,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_11082004_p45r30_l5_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56fe4b0097a7158e62b","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479558,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046346,"text":"70046346 - 2012 - Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:18:20","indexId":"70046346","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046346","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 28, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046346.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273498,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07282004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56fe4b0097a7158e627","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479528,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045186,"text":"70045186 - 2012 - Solar thematic maps for space weather operations","interactions":[],"lastModifiedDate":"2013-06-17T16:20:19","indexId":"70045186","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Solar thematic maps for space weather operations","docAbstract":"Thematic maps are arrays of labels, or \"themes\", associated with discrete locations in space and time. Borrowing heavily from the terrestrial remote sensing discipline, a numerical technique based on Bayes' theorem captures operational expertise in the form of trained theme statistics, then uses this to automatically assign labels to solar image pixels. Ultimately, regular thematic maps of the solar corona will be generated from high-cadence, high-resolution SUVI images, the solar ultraviolet imager slated to fly on NOAA's next-generation GOES-R series of satellites starting ~2016. These thematic maps will not only provide quicker, more consistent synoptic views of the sun for space weather forecasters, but digital thematic pixel masks (e.g., coronal hole, active region, flare, etc.), necessary for a new generation of operational solar data products, will be generated. This paper presents the mathematical underpinnings of our thematic mapper, as well as some practical algorithmic considerations. Then, using images from the Solar Dynamics Observatory (SDO) Advanced Imaging Array (AIA) as test data, it presents results from validation experiments designed to ascertain the robustness of the technique with respect to differing expert opinions and changing solar conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Space Weather","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012SW000780","usgsCitation":"Rigler, E.J., Hill, S.M., Reinard, A.A., and Steenburgh, R.A., 2012, Solar thematic maps for space weather operations: Space Weather, v. 10, S08009, 16 p., https://doi.org/10.1029/2012SW000780.","productDescription":"S08009, 16 p.","ipdsId":"IP-039253","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012sw000780","text":"Publisher Index Page"},{"id":273870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273869,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012SW000780"}],"country":"United States","volume":"10","noUsgsAuthors":false,"publicationDate":"2012-08-25","publicationStatus":"PW","scienceBaseUri":"51c02ff6e4b0ee1529ed3d60","contributors":{"authors":[{"text":"Rigler, E. Joshua","contributorId":64533,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":476996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Steven M.","contributorId":24263,"corporation":false,"usgs":true,"family":"Hill","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reinard, Alysha A.","contributorId":69873,"corporation":false,"usgs":true,"family":"Reinard","given":"Alysha","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenburgh, Robert A.","contributorId":7165,"corporation":false,"usgs":true,"family":"Steenburgh","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043061,"text":"70043061 - 2012 - Pyrethroid insecticides in bed sediments from urban and agricultural streams across the United States","interactions":[],"lastModifiedDate":"2013-04-08T14:18:52","indexId":"70043061","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2259,"text":"Journal of Environmental Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Pyrethroid insecticides in bed sediments from urban and agricultural streams across the United States","docAbstract":"Pyrethroid insecticides are hydrophobic compounds that partition to streambed sediments and have been shown to cause toxicity to non-target organisms; their occurrence is well documented in parts of California, but there have been limited studies in other urban and agricultural areas across the United States. To broaden geographic understanding of pyrethroid distributions, bed sediment samples were collected and analyzed from 36 streams in 25 states, with about 2/3 of the sites in urban areas and 1/3 in agricultural areas. At least one pyrethroid (of the 14 included in the analysis) was detected in 78% of samples. Seven pyrethroids were detected in one or more samples. Bifenthrin was the most frequently detected (58% of samples), followed by permethrin (31%), resmethrin (17%), and cyfluthrin (14%). The other three detected pyrethroids (cyhalothrin, cypermethrin and delta/tralomethrin) were found in two or fewer of the samples. Concentrations ranged from 0.3 to 180 ng g<sup>-1</sup> dry weight. The number of pyrethroids detected were higher in the urban samples than in the agricultural samples, but the highest concentrations of individual pyrethroids were split between urban and agricultural sites. The pyrethroids detected in the agricultural areas generally followed use patterns. Predicted toxicity was greater for urban areas and attributed to bifenthrin, cyfluthrin and cypermethrin, while in agricultural areas the toxicity was mainly attributed to bifenthrin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Monitoring","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"RSC Publishing","publisherLocation":"London, UK","doi":"10.1039/C2EM10946H","usgsCitation":"Hladik, M., and Kuivila, K., 2012, Pyrethroid insecticides in bed sediments from urban and agricultural streams across the United States: Journal of Environmental Monitoring, v. 14, no. 7, p. 1838-1845, https://doi.org/10.1039/C2EM10946H.","productDescription":"8 p.","startPage":"1838","endPage":"1845","numberOfPages":"8","additionalOnlineFiles":"N","ipdsId":"IP-030124","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":270662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270661,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1039/C2EM10946H"}],"volume":"14","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5163e6ece4b0b7010f820187","contributors":{"authors":[{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472886,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179451,"text":"70179451 - 2012 - Viral hemorrhagic septicemia","interactions":[],"lastModifiedDate":"2017-01-03T11:45:02","indexId":"70179451","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Viral hemorrhagic septicemia","docAbstract":"<p>Viral hemorrhagic septicemia (VHS) is one of the most important viral diseases of finfish worldwide. In the past, VHS was thought to affect mainly rainbow trout Oncorhynchus mykiss reared at freshwater facilities in Western Europe where it was known by various names including Egtved disease and infectious kidney swelling and liver degeneration (Wolf 1988). Today, VHS is known as an important source of mortality for cultured and wild fish in freshwater and marine environments in several regions of the northern hemisphere (Dixon 1999; Gagné et al. 2007; Kim and Faisal 2011; Lumsden et al. 2007; Marty et al. 1998, 2003; Meyers and Winton 1995; Skall et al. 2005b; Smail 1999; Takano et al. 2001). Viral hemorrhagic septicemia is caused by the fish rhabdovirus, viral hemorrhagic septicemia virus (VHSV), a member of the genus Novirhabdovirus of the family Rhabdoviridae</p>","language":"English","publisher":"American Fisheries Society","usgsCitation":"Batts, W.N., and Winton, J.R., 2012, Viral hemorrhagic septicemia, 11 p. .","productDescription":"11 p. ","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":332740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586cc698e4b0f5ce109fa959","contributors":{"authors":[{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":657282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":657283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176603,"text":"70176603 - 2012 - Overwintering tadpoles and loss of fitness correlates in <i>Polypedates braueri</i> tadpoles that use artificial pools in a lowland agroecosystem","interactions":[],"lastModifiedDate":"2017-05-03T13:08:54","indexId":"70176603","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Overwintering tadpoles and loss of fitness correlates in <i>Polypedates braueri</i> tadpoles that use artificial pools in a lowland agroecosystem","docAbstract":"<p><span>We studied growth, development, and metamorphic traits of </span><i>Polypedates braueri</i><span> tadpoles in Taiwan to elucidate the cause of tadpole overwintering in man-made water containers in lowland orchards on the Bagua Terrace. </span><i>Polypedates braueri</i><span> bred from March to August, but tadpoles were present year round. Laboratory experiments demonstrated that tadpole overwintering was facultative; low temperatures and limited food retarded both growth and development, resulting in overwintering in the tadpole stage. Tadpoles at the lowest experimental temperature (15°C) never reached metamorphosis. A field experiment demonstrated that 78, 28, and 4% of tadpoles raised in high, medium, and low food regimes, respectively, metamorphosed before the onset of winter. Tadpoles that did not metamorphose by fall continued to grow slowly and either metamorphosed during the winter or the following spring. These findings indicate that food availability plays a key role in inducing overwintering in tadpoles. Jumping performance of metamorphs was positively correlated with food regimes, but body lipid content was significantly higher in metamorphs raised with either low or high food regimes than in those with medium levels of food. Overwintering by </span><i>P. braueri</i><span>tadpoles has not been previously reported; however, agricultural activities have created new breeding habitats (i.e., man-made bodies of water), some of which are sufficiently food-limited that tadpoles overwinter to complete development and metamorphosis. An understanding of the survivorship, life history traits, and physiology of these frogs is needed to shed light on how man-made breeding sites affect the population dynamics of native frog populations.</span></p>","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/HERPETOLOGICA-D-11-00042.1","usgsCitation":"Hsu, J., Kam, Y., and Fellers, G.M., 2012, Overwintering tadpoles and loss of fitness correlates in <i>Polypedates braueri</i> tadpoles that use artificial pools in a lowland agroecosystem: Herpetologica, v. 68, no. 2, p. 184-194, https://doi.org/10.1655/HERPETOLOGICA-D-11-00042.1.","productDescription":"11 p.","startPage":"184","endPage":"194","ipdsId":"IP-029855","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f3b2e4b0bc0bec0a0b1d","contributors":{"authors":[{"text":"Hsu, Juei-Ling","contributorId":174812,"corporation":false,"usgs":false,"family":"Hsu","given":"Juei-Ling","email":"","affiliations":[],"preferred":false,"id":649347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kam, Yeong-Choy","contributorId":9618,"corporation":false,"usgs":true,"family":"Kam","given":"Yeong-Choy","email":"","affiliations":[],"preferred":false,"id":649348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649349,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032225,"text":"70032225 - 2012 - Planet-wide sand motion on mars","interactions":[],"lastModifiedDate":"2020-12-03T22:31:44.104658","indexId":"70032225","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Planet-wide sand motion on mars","docAbstract":"<p><span>Prior to Mars Reconnaissance Orbiter data, images of Mars showed no direct evidence for dune and ripple motion. This was consistent with climate models and lander measurements indicating that winds of sufficient intensity to mobilize sand were rare in the low-density atmosphere. We show that many sand ripples and dunes across Mars exhibit movement of as much as a few meters per year, demonstrating that Martian sand migrates under current conditions in diverse areas of the planet. Most motion is probably driven by wind gusts that are not resolved in global circulation models. A past climate with a thicker atmosphere is only required to move large ripples that contain coarse grains.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G32373.1","issn":"00917613","usgsCitation":"Bridges, N., Bourke, M., Geissler, P.E., Banks, M.E., Colon, C., Diniega, S., Golombek, M., Hansen, C., Mattson, S., McEwen, A.S., Mellon, M.T., Stantzos, N., and Thomson, B., 2012, Planet-wide sand motion on mars: Geology, v. 40, no. 1, p. 31-34, https://doi.org/10.1130/G32373.1.","productDescription":"4 p.","startPage":"31","endPage":"34","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":242577,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214825,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32373.1"}],"otherGeospatial":"Mars","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-11-14","publicationStatus":"PW","scienceBaseUri":"505a7bb3e4b0c8380cd7959a","contributors":{"authors":[{"text":"Bridges, N.T.","contributorId":23673,"corporation":false,"usgs":true,"family":"Bridges","given":"N.T.","email":"","affiliations":[],"preferred":false,"id":435118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourke, M.C.","contributorId":59165,"corporation":false,"usgs":true,"family":"Bourke","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":435123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":435124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banks, M. E.","contributorId":103476,"corporation":false,"usgs":true,"family":"Banks","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colon, C.","contributorId":46784,"corporation":false,"usgs":true,"family":"Colon","given":"C.","email":"","affiliations":[],"preferred":false,"id":435121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diniega, S.","contributorId":37976,"corporation":false,"usgs":true,"family":"Diniega","given":"S.","affiliations":[],"preferred":false,"id":435120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Golombek, M.P.","contributorId":52696,"corporation":false,"usgs":true,"family":"Golombek","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":435122,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hansen, C.J.","contributorId":72530,"corporation":false,"usgs":true,"family":"Hansen","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":435125,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mattson, S.","contributorId":35450,"corporation":false,"usgs":true,"family":"Mattson","given":"S.","email":"","affiliations":[],"preferred":false,"id":435119,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McEwen, A. S.","contributorId":11317,"corporation":false,"usgs":true,"family":"McEwen","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":435117,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mellon, M. T.","contributorId":82833,"corporation":false,"usgs":false,"family":"Mellon","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":435126,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stantzos, N.","contributorId":90125,"corporation":false,"usgs":true,"family":"Stantzos","given":"N.","email":"","affiliations":[],"preferred":false,"id":435127,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thomson, B.J.","contributorId":90936,"corporation":false,"usgs":true,"family":"Thomson","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":435128,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70032377,"text":"70032377 - 2012 - Discovery and characterization of secretory IgD in rainbow trout: secretory IgD is produced through a novel splicing mechanism","interactions":[],"lastModifiedDate":"2016-12-19T13:02:19","indexId":"70032377","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2350,"text":"Journal of Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Discovery and characterization of secretory IgD in rainbow trout: secretory IgD is produced through a novel splicing mechanism","docAbstract":"The gene encoding IgH δ has been found in all species of teleosts studied to date. However, catfish (Ictalurus punctatus) is the only species of fish in which a secretory form of IgD has been characterized, and it occurs through the use of a dedicated δ-secretory exon, which is absent from all other species examined. Our studies have revealed that rainbow trout (Oncorhynchus mykiss) use a novel strategy for the generation of secreted IgD. The trout secretory δ transcript is produced via a run-on event in which the splice donor site at the end of the last constant domain exon (D7) is ignored and transcription continues until a stop codon is reached 33 nt downstream of the splice site, resulting in the production of an in-frame, 11-aa secretory tail at the end of the D7 domain. In silico analysis of several published IgD genes suggested that this unique splicing mechanism may also be used in other species of fish, reptiles, and amphibians. Alternative splicing of the secretory δ transcript resulted in two δ-H chains, which incorporated Cμ1 and variable domains. Secreted IgD was found in two heavily glycosylated isoforms, which are assembled as monomeric polypeptides associated with L chains. Secretory δ mRNA and IgD<sup>+</sup> plasma cells were detected in all immune tissues at a lower frequency than secretory IgM. Our data demonstrate that secretory IgD is more prevalent and widespread across taxa than previously thought, and thus illustrate the potential that IgD may have a conserved role in immunity.","language":"English","publisher":"The American Association of Immunologists ","doi":"10.4049/jimmunol.1101938","issn":"00221767","usgsCitation":"Ramirez-Gomez, F., Greene, W., Rego, K., Hansen, J., Costa, G., Kataria, P., and Bromage, E., 2012, Discovery and characterization of secretory IgD in rainbow trout: secretory IgD is produced through a novel splicing mechanism: Journal of Immunology, v. 188, no. 3, p. 1341-1349, https://doi.org/10.4049/jimmunol.1101938.","productDescription":"9 p. ","startPage":"1341","endPage":"1349","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":474838,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4049/jimmunol.1101938","text":"Publisher Index Page"},{"id":241274,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-02-01","publicationStatus":"PW","scienceBaseUri":"505a01ede4b0c8380cd4fdc3","contributors":{"authors":[{"text":"Ramirez-Gomez, F.","contributorId":94868,"corporation":false,"usgs":true,"family":"Ramirez-Gomez","given":"F.","email":"","affiliations":[],"preferred":false,"id":435867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, W.","contributorId":12700,"corporation":false,"usgs":true,"family":"Greene","given":"W.","email":"","affiliations":[],"preferred":false,"id":435863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rego, K.","contributorId":56046,"corporation":false,"usgs":true,"family":"Rego","given":"K.","affiliations":[],"preferred":false,"id":435866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, J.D.","contributorId":107880,"corporation":false,"usgs":true,"family":"Hansen","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":435868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costa, G.","contributorId":107944,"corporation":false,"usgs":true,"family":"Costa","given":"G.","email":"","affiliations":[],"preferred":false,"id":435869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kataria, P.","contributorId":25370,"corporation":false,"usgs":true,"family":"Kataria","given":"P.","email":"","affiliations":[],"preferred":false,"id":435864,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromage, E.S.","contributorId":50736,"corporation":false,"usgs":true,"family":"Bromage","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":435865,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032648,"text":"70032648 - 2012 - A Holocene record of endogenic iron and manganese precipitation and vegetation history in a lake-fen complex in northwestern Minnesota","interactions":[],"lastModifiedDate":"2020-11-24T17:52:47.307718","indexId":"70032648","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"A Holocene record of endogenic iron and manganese precipitation and vegetation history in a lake-fen complex in northwestern Minnesota","docAbstract":"<p><span>Little Shingobee Lake and Fen are part of the extensive network of lakes and wetlands in the Shingobee River headwaters of northwestern Minnesota, designed to study the interactions between surface and ground waters. Prior to about 11.2&nbsp;cal. ka, most of these lakes and wetlands were interconnected to form glacial Lake Willobee, which apparently formed when a debris flow dammed the Shingobee River. Between 11.2 and 8.5&nbsp;cal. ka, the level of Lake Willobee fell as a result of breaching of the dam, transforming the deep lake into the existing lakes and wetlands. Analyses of a 9-m core from Little Shingobee Lake (LSL-B), and lacustrine sediments under 3.3&nbsp;m of peat in a 17-m core from Little Shingobee Fen (LSF-10), show that the dominant components are allogenic clastic material, and endogenic CaCO</span><sub>3</sub><span>&nbsp;and organic matter. In both cores almost all of the iron (Fe) and manganese (Mn) are incorporated in endogenic minerals, presumed to be X-ray amorphous oxyhydroxide minerals, that occur in significant quantities throughout the cores; almost no Fe and Mn are contributed from detrital aluminosilicate minerals. This suggests that, for most of the Holocene, the allogenic watershed contributions to lake chemistry were minor compared to the dissolved mineral load. In addition, prior to 3.5&nbsp;cal. ka, pollen zone boundaries coincide with large changes in lake-sediment mineralogy, indicating that both landscape and climate processes were linked to early- and mid-Holocene lake chemistry. The pollen time series, with sequential domination by spruce, pine, sagebrush-oak, birch-oak and, finally, white pine is typical of the region and reflects the changing location of the prairie-forest transition zone over time. These changes in vegetation had some profound effects on the geochemistry of the lake waters.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10933-011-9544-7","issn":"09212728","usgsCitation":"Dean, W.E., and Doner, L., 2012, A Holocene record of endogenic iron and manganese precipitation and vegetation history in a lake-fen complex in northwestern Minnesota: Journal of Paleolimnology, v. 47, no. 1, p. 29-42, https://doi.org/10.1007/s10933-011-9544-7.","productDescription":"14 p.","startPage":"29","endPage":"42","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":241354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213700,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10933-011-9544-7"}],"country":"United States","state":"Minnesota","otherGeospatial":"Little Shingobee Lake and Fen","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.71313476562499,\n              46.81509864599243\n            ],\n            [\n              -93.779296875,\n              46.81509864599243\n            ],\n            [\n              -93.779296875,\n              47.36115300722623\n            ],\n            [\n              -94.71313476562499,\n              47.36115300722623\n            ],\n            [\n              -94.71313476562499,\n              46.81509864599243\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-17","publicationStatus":"PW","scienceBaseUri":"5059e2e4e4b0c8380cd45cf5","contributors":{"authors":[{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":437263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doner, L.A.","contributorId":101888,"corporation":false,"usgs":true,"family":"Doner","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":437264,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032688,"text":"70032688 - 2012 - Empirical methods for detecting regional trends and other spatial expressions in antrim shale gas productivity, with implications for improving resource projections using local nonparametric estimation techniques","interactions":[],"lastModifiedDate":"2020-11-24T17:35:13.36174","indexId":"70032688","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Empirical methods for detecting regional trends and other spatial expressions in antrim shale gas productivity, with implications for improving resource projections using local nonparametric estimation techniques","docAbstract":"<p><span>The primary objectives of this research were to (1) investigate empirical methods for establishing regional trends in unconventional gas resources as exhibited by historical production data and (2) determine whether or not incorporating additional knowledge of a regional trend in a suite of previously established local nonparametric resource prediction algorithms influences assessment results. Three different trend detection methods were applied to publicly available production data (well EUR aggregated to 80-acre cells) from the Devonian Antrim Shale gas play in the Michigan Basin. This effort led to the identification of a southeast–northwest trend in cell EUR values across the play that, in a very general sense, conforms to the primary fracture and structural orientations of the province. However, including this trend in the resource prediction algorithms did not lead to improved results. Further analysis indicated the existence of clustering among cell EUR values that likely dampens the contribution of the regional trend. The reason for the clustering, a somewhat unexpected result, is not completely understood, although the geological literature provides some possible explanations. With appropriate data, a better understanding of this clustering phenomenon may lead to important information about the factors and their interactions that control Antrim Shale gas production, which may, in turn, help establish a more general protocol for better estimating resources in this and other shale gas plays.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-011-9165-x","issn":"15207439","usgsCitation":"Coburn, T.C., Freeman, P., and Attanasi, E.D., 2012, Empirical methods for detecting regional trends and other spatial expressions in antrim shale gas productivity, with implications for improving resource projections using local nonparametric estimation techniques: Natural Resources Research, v. 21, no. 1, p. 1-21, https://doi.org/10.1007/s11053-011-9165-x.","productDescription":"21","startPage":"1","endPage":"21","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources 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 \"}}]}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-12-29","publicationStatus":"PW","scienceBaseUri":"505a0904e4b0c8380cd51d71","contributors":{"authors":[{"text":"Coburn, Timothy C.","contributorId":26011,"corporation":false,"usgs":true,"family":"Coburn","given":"Timothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":437456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":437455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":193092,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":437457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032503,"text":"70032503 - 2012 - Assessment of pingo distribution and morphometry using an IfSAR derived digital surface model, western Arctic Coastal Plain, Northern Alaska","interactions":[],"lastModifiedDate":"2018-08-07T12:20:33","indexId":"70032503","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of pingo distribution and morphometry using an IfSAR derived digital surface model, western Arctic Coastal Plain, Northern Alaska","docAbstract":"<p><span>Pingos are circular to elongate ice-cored mounds that form by injection and freezing of pressurized water in near-surface permafrost. Here we use a digital surface model (DSM) derived from an airborne Interferometric Synthetic Aperture Radar (IfSAR) system to assess the distribution and morphometry of pingos within a 40,000</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>&nbsp;area on the western Arctic Coastal Plain of northern Alaska. We have identified 1247 pingo forms in the study region, ranging in height from 2 to 21</span><span>&nbsp;</span><span>m, with a mean height of 4.6</span><span>&nbsp;</span><span>m. Pingos in this region are of hydrostatic origin, with 98% located within 995 drained lake basins, most of which are underlain by thick eolian sand deposits. The highest pingo density (0.18</span><span>&nbsp;</span><span>km</span><sup>−&nbsp;2</sup><span>) occurs where streams have reworked these deposits. Morphometric analyses indicate that most pingos are small to medium in size (&lt;</span><span>&nbsp;</span><span>200</span><span>&nbsp;</span><span>m diameter), gently to moderately sloping (&lt;</span><span>&nbsp;</span><span>30°), circular to slightly elongate (mean circularity index of 0.88), and of relatively low height (2 to 5</span><span>&nbsp;</span><span>m). However, 57 pingos stand higher than 10</span><span>&nbsp;</span><span>m, 26 have a maximum slope greater than 30°, and 42 are larger than 200</span><span>&nbsp;</span><span>m in diameter. Comparison with a legacy pingo dataset based on 1950s stereo-pair photography indicates that 66 may have partially or completely collapsed over the last half-century. However, we mapped over 400 pingos not identified in the legacy dataset, and identified only three higher than 2</span><span>&nbsp;</span><span>m to have formed between ca. 1955 and ca. 2005, indicating that caution should be taken when comparing contemporary and legacy datasets derived by different techniques. This comprehensive database of pingo location and morphometry based on an IfSAR DSM may prove useful for land and resource managers as well as aid in the identification of pingo-like features on Mars.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2011.08.007","issn":"0169555X","usgsCitation":"Jones, B.M., Grosse, G., Hinkel, K.M., Arp, C., Walker, S., Beck, R., and Galloway, J., 2012, Assessment of pingo distribution and morphometry using an IfSAR derived digital surface model, western Arctic Coastal Plain, Northern Alaska: Geomorphology, v. 138, no. 1, p. 1-14, https://doi.org/10.1016/j.geomorph.2011.08.007.","productDescription":"14 p.","startPage":"1","endPage":"14","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":241755,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214067,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2011.08.007"}],"volume":"138","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ee48e4b0c8380cd49c89","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":436511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":436514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkel, Kenneth M.","contributorId":15405,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":436508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arp, C.D.","contributorId":54715,"corporation":false,"usgs":true,"family":"Arp","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":436512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, S.","contributorId":71777,"corporation":false,"usgs":true,"family":"Walker","given":"S.","email":"","affiliations":[],"preferred":false,"id":436513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, R.A.","contributorId":44246,"corporation":false,"usgs":true,"family":"Beck","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":436510,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galloway, J. P.","contributorId":19142,"corporation":false,"usgs":true,"family":"Galloway","given":"J. P.","affiliations":[],"preferred":false,"id":436509,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70032637,"text":"70032637 - 2012 - Exploring mechanisms underlying sex-specific differences in mortality of Lake Michigan bloaters","interactions":[],"lastModifiedDate":"2012-12-28T09:14:00","indexId":"70032637","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Exploring mechanisms underlying sex-specific differences in mortality of Lake Michigan bloaters","docAbstract":"Sex-specific differences in mortality rates have been observed among freshwater and marine fish taxa, and underlying mechanisms can include sex-specific differences in (1) age at maturity, (2) growth rate, or (3) activity or behavior during the spawning period. We used a long-term (1973–2009) Lake Michigan data set to evaluate whether there were sex-specific differences in catch per unit effort, mortality, age at maturity, and length at age in bloaters <i>Coregonus hoyi</i>. Because bloater population biomass varied 200-fold during the years analyzed, we divided the data into three periods: (1) 1973–1982 (low biomass), (2) 1983–1997 (high biomass), and (3) 1998–2009 (low biomass). Mortality was higher for males than for females in periods 2 and 3; the average instantaneous total mortality rate (<i>Z</i>) over these two periods was 0.71 for males and 0.57 for females. Length at age was slightly greater (2–6%) for females than for males in different age-classes (3–6 years) during each period. Age at maturity was earlier for males than for females in periods 1 and 2, but the mean difference was only 0.2–0.4 years. To test the hypothesis that somatic lipids declined more in males than in females during spawning (perhaps due to increased activity or reduced feeding), we estimated sex-specific percent somatic lipids for fish sampled in 2005–2006 and 2007–2008. During 2005–2006, somatic lipids declined from prespawning to postspawning for males but were unchanged for females. During 2007–2008, however, somatic lipids were unchanged for males, whereas they increased for females. We found that sex-specific differences in <i>Z</i> occurred in the Lake Michigan bloater population, but our hypotheses that sex-specific differences in maturity and growth could explain this pattern were generally unsupported. Our hypothesis that somatic lipids in males declined during spawning at a faster rate than in females will require additional research to clarify its importance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2012.655124","issn":"00028487","usgsCitation":"Bunnell, D., Madenjian, C., Rogers, M., Holuszko, J., and Begnoche, L., 2012, Exploring mechanisms underlying sex-specific differences in mortality of Lake Michigan bloaters: Transactions of the American Fisheries Society, v. 141, no. 1, p. 204-214, https://doi.org/10.1080/00028487.2012.655124.","productDescription":"11 p.","startPage":"204","endPage":"214","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":241691,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214007,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.655124"}],"otherGeospatial":"Lake Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.91,41.61 ], [ -87.91,46.05 ], [ -84.95,46.05 ], [ -84.95,41.61 ], [ -87.91,41.61 ] ] ] } } ] }","volume":"141","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0e25e4b0c8380cd53300","contributors":{"authors":[{"text":"Bunnell, D.B.","contributorId":8610,"corporation":false,"usgs":true,"family":"Bunnell","given":"D.B.","affiliations":[],"preferred":false,"id":437165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":437167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, M.W.","contributorId":68929,"corporation":false,"usgs":true,"family":"Rogers","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":437168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holuszko, J.D.","contributorId":54786,"corporation":false,"usgs":true,"family":"Holuszko","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":437166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Begnoche, L.J.","contributorId":103025,"corporation":false,"usgs":true,"family":"Begnoche","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":437169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032604,"text":"70032604 - 2012 - Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system","interactions":[],"lastModifiedDate":"2017-11-05T22:24:26","indexId":"70032604","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2925,"text":"Ocean Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system","docAbstract":"<div id=\"aep-abstract-id30\" class=\"abstract author\" lang=\"en\"><div id=\"aep-abstract-sec-id31\"><p id=\"sp010\"><span>The coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system was used to investigate atmosphere–ocean–wave interactions in November 2009 during Hurricane Ida and its subsequent evolution to Nor’Ida, which was one of the most costly storm systems of the past two decades. One interesting aspect of this event is that it included two unique atmospheric extreme conditions, a hurricane and a nor’easter storm, which developed in regions with different oceanographic characteristics. Our modeled results were compared with several data sources, including GOES satellite infrared data, JASON-1 and JASON-2 altimeter data, CODAR measurements, and wave and tidal information from the National Data Buoy Center (NDBC) and the National Tidal Database. By performing a series of numerical runs, we were able to isolate the effect of the interaction terms between the atmosphere (modeled with Weather Research and Forecasting, the WRF model), the ocean (modeled with Regional Ocean Modeling System (ROMS)), and the wave propagation and generation model (modeled with Simulating Waves Nearshore (SWAN)). Special attention was given to the role of the ocean surface roughness. Three different ocean roughness closure models were analyzed: </span>DGHQ (which is based on wave age), TY2001 (which is based on wave steepness), and OOST (which considers both the effects of wave age and steepness). Including the ocean roughness in the atmospheric module improved the wind intensity estimation and therefore also the wind waves, surface currents, and storm surge amplitude. For example, during the passage of Hurricane Ida through the Gulf of Mexico, the wind speeds were reduced due to wave-induced ocean roughness, resulting in better agreement with the measured winds. During Nor’Ida, including the wave-induced surface roughness changed the form and dimension of the main low pressure cell, affecting the intensity and direction of the winds. The combined wave age- and wave steepness-based parameterization (OOST) provided the best results for wind and wave growth prediction. However, the best agreement between the measured (CODAR) and computed surface currents and storm surge values was obtained with the wave steepness-based roughness parameterization (TY2001), although the differences obtained with respect to DGHQ were not significant. The influence of sea surface temperature (SST) fields on the atmospheric boundary layer dynamics was examined; in particular, we evaluated how the SST affects wind wave generation, surface currents and storm surges. The integrated hydrograph and integrated wave height, parameters that are highly correlated with the storm damage potential, were found to be highly sensitive to the ocean surface roughness parameterization.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2011.12.008","issn":"14635003","usgsCitation":"Olabarrieta, M., Warner, J., Armstrong, B., Zambon, J.B., and He, R., 2012, Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system: Ocean Modelling, v. 43-44, p. 112-137, https://doi.org/10.1016/j.ocemod.2011.12.008.","productDescription":"26 p.","startPage":"112","endPage":"137","costCenters":[],"links":[{"id":474640,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5124","text":"External Repository"},{"id":241690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43-44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6c99e4b0c8380cd74ced","contributors":{"authors":[{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":81631,"corporation":false,"usgs":true,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":437025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":437024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":5897,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy N.","email":"barmstrong@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":437023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zambon, Joseph B.","contributorId":8222,"corporation":false,"usgs":true,"family":"Zambon","given":"Joseph","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":437026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"He, Ruoying","contributorId":58965,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":437027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148280,"text":"70148280 - 2012 - Influence of fault trend, bends, and convergence on shallow structure and geomorphology of the Hosgri strike-slip fault, offshore central California","interactions":[],"lastModifiedDate":"2022-01-21T16:34:29.501456","indexId":"70148280","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Influence of fault trend, bends, and convergence on shallow structure and geomorphology of the Hosgri strike-slip fault, offshore central California","docAbstract":"<p id=\"p-1\">We mapped an &sim;94-km-long portion of the right-lateral Hosgri fault zone in offshore central California using a dense network of high-resolution seismic reflection profiles, marine magnetic data, and multibeam bathymetry. These data document the location, length, and continuity of multiple fault strands, highlight fault-zone heterogeneity, and demonstrate the importance of fault trend, fault bends, and fault convergence in the development of shallow structure and tectonic geomorphology along strike-slip faults.</p>\n<p id=\"p-2\">Eight sections (A through H) of the Hosgri fault are mapped. The fault trends &sim;335&deg; to 341&deg; in the southern &sim;40 km of the study area (sections A through C) where shallow deformation is primarily dilational. The absence of tectonic uplift in this area has contributed to localization of the Santa Maria River and delta and, as a result, Holocene sediments cover the fault zone. The Hosgri fault generally trends 329&deg; to 337&deg; in the central &sim;24 km of the study area (sections D through F), which coincides with oblique convergence of the Hosgri and the more northwest-trending Los Osos and Shoreline faults. This convergence has resulted in local restraining and releasing fault bends, transpressive uplifts, and extensional basins of varying size and morphology. Notably, development of a paired fault bend is linked to indenting and bulging of the Hosgri fault by a strong crustal block translated to the northwest along the Shoreline fault. Two diverging Hosgri fault strands bounding a central uplifted block characterize the northern &sim;30 km of the Hosgri fault (sections G and H) in this area. The eastern Hosgri passes through significant releasing (329&deg; to 335&deg;) and restraining (335&deg; to 328&deg;) bends before passing onland at San Simeon; the releasing bend is the primary control on development of an elongate, asymmetric, 15-km-long &times; 300- to 2400-m-wide, &ldquo;Lazy Z&rdquo; sedimentary basin. The western strand of the Hosgri fault passes through a significant restraining bend (329&deg; to 316&deg;) and continues northward until slip is transferred to faults underlying the Piedras Blancas fold belt.</p>\n<p id=\"p-3\">Earthquake hazard assessments should incorporate a minimum rupture length of 110 km based on continuity of the Hosgri fault zone through this area. Lateral slip rates may vary along the fault (both to the north and south) as different structures converge and diverge but are probably in the geodetically estimated range of 2&ndash;4 mm/yr.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/Ges00830.1","usgsCitation":"Johnson, S.Y., and Watt, J.T., 2012, Influence of fault trend, bends, and convergence on shallow structure and geomorphology of the Hosgri strike-slip fault, offshore central California: Geosphere, v. 8, no. 6, p. 1632-1656, https://doi.org/10.1130/Ges00830.1.","productDescription":"25 p.","startPage":"1632","endPage":"1656","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036122","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00830.1","text":"Publisher Index Page"},{"id":300840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Hosgri fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.541748046875,\n              34.7506398050501\n            ],\n            [\n              -121.541748046875,\n              35.66622234103479\n            ],\n            [\n              -120.377197265625,\n              35.66622234103479\n            ],\n            [\n              -120.377197265625,\n              34.7506398050501\n            ],\n            [\n              -121.541748046875,\n              34.7506398050501\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566ead6e4b0d9246a9ec2eb","contributors":{"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watt, Janet Tilden 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":1754,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","middleInitial":"Tilden","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042487,"text":"70042487 - 2012 - A comparison of selected parametric and imputation methods for estimating snag density and snag quality attributes","interactions":[],"lastModifiedDate":"2013-01-14T14:51:19","indexId":"70042487","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of selected parametric and imputation methods for estimating snag density and snag quality attributes","docAbstract":"Snags (standing dead trees) are an essential structural component of forests. Because wildlife use of snags depends on size and decay stage, snag density estimation without any information about snag quality attributes is of little value for wildlife management decision makers. Little work has been done to develop models that allow multivariate estimation of snag density by snag quality class. Using climate, topography, Landsat TM data, stand age and forest type collected for 2356 forested Forest Inventory and Analysis plots in western Washington and western Oregon, we evaluated two multivariate techniques for their abilities to estimate density of snags by three decay classes. The density of live trees and snags in three decay classes (D1: recently dead, little decay; D2: decay, without top, some branches and bark missing; D3: extensive decay, missing bark and most branches) with diameter at breast height (DBH) &#8805; 12.7 cm was estimated using a nonparametric random forest nearest neighbor imputation technique (RF) and a parametric two-stage model (QPORD), for which the number of trees per hectare was estimated with a Quasipoisson model in the first stage and the probability of belonging to a tree status class (live, D1, D2, D3) was estimated with an ordinal regression model in the second stage. The presence of large snags with DBH &#8805; 50 cm was predicted using a logistic regression and RF imputation. Because of the more homogenous conditions on private forest lands, snag density by decay class was predicted with higher accuracies on private forest lands than on public lands, while presence of large snags was more accurately predicted on public lands, owing to the higher prevalence of large snags on public lands. RF outperformed the QPORD model in terms of percent accurate predictions, while QPORD provided smaller root mean square errors in predicting snag density by decay class. The logistic regression model achieved more accurate presence/absence classification of large snags than the RF imputation approach. Adjusting the decision threshold to account for unequal size for presence and absence classes is more straightforward for the logistic regression than for the RF imputation approach. Overall, model accuracies were poor in this study, which can be attributed to the poor predictive quality of the explanatory variables and the large range of forest types and geographic conditions observed in the data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.foreco.2011.06.041","usgsCitation":"Eskelson, B., Hagar, J., and Temesgen, H., 2012, A comparison of selected parametric and imputation methods for estimating snag density and snag quality attributes: Forest Ecology and Management, p. 26-34, https://doi.org/10.1016/j.foreco.2011.06.041.","productDescription":"9 p.","startPage":"26","endPage":"34","ipdsId":"IP-030546","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":265663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265659,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2011.06.041"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f536f3e4b0114312ab01ce","contributors":{"authors":[{"text":"Eskelson, Bianca","contributorId":7556,"corporation":false,"usgs":true,"family":"Eskelson","given":"Bianca","email":"","affiliations":[],"preferred":false,"id":471634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":471633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Temesgen, Hailemariam","contributorId":11053,"corporation":false,"usgs":true,"family":"Temesgen","given":"Hailemariam","email":"","affiliations":[],"preferred":false,"id":471635,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042505,"text":"70042505 - 2012 - Physiological ecology of desert biocrust moss following 10 years exposure to elevated CO2: Evidence for enhanced photosynthetic thermotolerance","interactions":[],"lastModifiedDate":"2022-08-29T13:50:32.692241","indexId":"70042505","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3072,"text":"Physiologia Plantarum","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Physiological ecology of desert biocrust moss following 10 years exposure to elevated CO<sub>2</sub>: Evidence for enhanced photosynthetic thermotolerance","title":"Physiological ecology of desert biocrust moss following 10 years exposure to elevated CO2: Evidence for enhanced photosynthetic thermotolerance","docAbstract":"In arid regions, biomes particularly responsive to climate change, mosses play an important biogeochemical role as key components of biocrusts. Using the biocrust moss Syntrichia caninervis collected from the Nevada Desert Free Air CO<sub>2</sub> Enrichment Facility, we examined the physiological effects of 10 years of exposure to elevated CO<sub>2</sub>, and the effect of high temperature events on the photosynthetic performance of moss grown in CO<sub>2</sub>-enriched air. Moss exposed to elevated CO<sub>2</sub> exhibited a 46% decrease in chlorophyll, a 20% increase in carbon and no difference in either nitrogen content or photosynthetic performance. However, when subjected to high temperatures (35–40°C), mosses from the elevated CO2 environment showed higher photosynthetic performance and photosystem II (PSII) efficiency compared to those grown in ambient conditions, potentially reflective of a shift in nitrogen allocation to components that offer a higher resistance of PSII to heat stress. This result suggests that mosses may respond to climate change in markedly different ways than vascular plants, and observed CO<sub>2</sub>-induced photosynthetic thermotolerance in S. caninervis will likely have consequences for future desert biogeochemistry.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1399-3054.2012.01566.x","usgsCitation":"Coe, K.K., Belnap, J., Grote, E.E., and Sparks, J.P., 2012, Physiological ecology of desert biocrust moss following 10 years exposure to elevated CO2: Evidence for enhanced photosynthetic thermotolerance: Physiologia Plantarum, v. 144, no. 4, p. 346-356, https://doi.org/10.1111/j.1399-3054.2012.01566.x.","productDescription":"11 p.","startPage":"346","endPage":"356","numberOfPages":"11","ipdsId":"IP-017442","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":270458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-03-05","publicationStatus":"PW","scienceBaseUri":"515bfdf8e4b075500ee5ca86","contributors":{"authors":[{"text":"Coe, Kirsten K.","contributorId":51619,"corporation":false,"usgs":true,"family":"Coe","given":"Kirsten","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":471661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":471660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grote, Edmund E. 0000-0002-9103-9482","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":78852,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":471663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sparks, Jed P.","contributorId":57578,"corporation":false,"usgs":true,"family":"Sparks","given":"Jed","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":471662,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148283,"text":"70148283 - 2012 - Slip rate on the San Diego trough fault zone, inner California Borderland, and the 1986 Oceanside earthquake swarm revisited","interactions":[],"lastModifiedDate":"2015-05-27T10:20:09","indexId":"70148283","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Slip rate on the San Diego trough fault zone, inner California Borderland, and the 1986 Oceanside earthquake swarm revisited","docAbstract":"<p>The San Diego trough fault zone (SDTFZ) is part of a 90-km-wide zone of faults within the inner California Borderland that accommodates motion between the Pacific and North American plates. Along with most faults offshore southern California, the slip rate and paleoseismic history of the SDTFZ are unknown. We present new seismic reflection data that show that the fault zone steps across a 5-km-wide stepover to continue for an additional 60 km north of its previously mapped extent. The 1986 Oceanside earthquake swarm is located within the 20-km-long restraining stepover. Farther north, at the latitude of Santa Catalina Island, the SDTFZ bends 20&deg; to the west and may be linked via a complex zone of folds with the San Pedro basin fault zone (SPBFZ). In a cooperative program between the U.S. Geological Survey (USGS) and the Monterey Bay Aquarium Research Institute (MBARI), we measure and date the coseismic offset of a submarine channel that intersects the fault zone near the SDTFZ&ndash;SPBFZ junction. We estimate a horizontal slip rate of about 1:5 \u0001 0:3 mm=yr over the past 12,270 yr.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110317","usgsCitation":"Ryan, H., Conrad, J.E., Paull, C.K., and McGann, M., 2012, Slip rate on the San Diego trough fault zone, inner California Borderland, and the 1986 Oceanside earthquake swarm revisited: Bulletin of the Seismological Society of America, v. 102, no. 6, p. 2300-2312, https://doi.org/10.1785/0120110317.","productDescription":"13 p.","startPage":"2300","endPage":"2312","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036085","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Diego trough fault zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.7237548828125,\n              32.579220642875676\n            ],\n            [\n              -118.7237548828125,\n              33.578014746143985\n            ],\n            [\n              -117.7239990234375,\n              33.578014746143985\n            ],\n            [\n              -117.7239990234375,\n              32.579220642875676\n            ],\n            [\n              -118.7237548828125,\n              32.579220642875676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-01","publicationStatus":"PW","scienceBaseUri":"5566eae2e4b0d9246a9ec2fd","contributors":{"authors":[{"text":"Ryan, Holly F. hryan@usgs.gov","contributorId":140746,"corporation":false,"usgs":true,"family":"Ryan","given":"Holly F.","email":"hryan@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, C. K.","contributorId":86845,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":2849,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032317,"text":"70032317 - 2012 - A new method of calculating electrical conductivity with applications to natural waters","interactions":[],"lastModifiedDate":"2020-11-17T13:17:58.66328","indexId":"70032317","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"A new method of calculating electrical conductivity with applications to natural waters","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"aep-abstract-id16\" class=\"abstract author\" lang=\"en\"><div id=\"aep-abstract-sec-id17\"><p id=\"sp005\">A new method is presented for calculating the electrical conductivity of natural waters that is accurate over a large range of effective ionic strength (0.0004–0.7&nbsp;mol&nbsp;kg<sup>−1</sup>), temperature (0–95&nbsp;°C), pH (1–10), and conductivity (30–70,000&nbsp;μS&nbsp;cm<sup>−1</sup>). The method incorporates a reliable set of equations to calculate the ionic molal conductivities of cations and anions (H<sup>+</sup>, Li<sup>+</sup>, Na<sup>+</sup>, K<sup>+</sup>, Cs<sup>+</sup>, <span>NH<sub>4</sub><sup>+</sup></span>, Mg<sup>2+</sup>, Ca<sup>2+</sup>, Sr<sup>2+</sup>, Ba<sup>2+</sup>, F<sup>−</sup>, Cl<sup>−</sup>, Br<sup>−</sup>, SO<sub>4</sub><sup>2-</sup><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\"></span>,<span> HCO<sub>3</sub><sup>-</sup></span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\"></span>,<span> CO<sub>3</sub><sup>2-</sup></span>,<span> NO<sub>3</sub><sup>-</sup></span><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\"></span>, and OH<sup>−</sup>), environmentally important trace metals (Al<sup>3+</sup>, Cu<sup>2+</sup>, Fe<sup>2+</sup>, Fe<sup>3+</sup>, Mn<sup>2+</sup>, and Zn<sup>2+</sup>), and ion pairs (HSO<sub>4</sub><sup>-</sup>,<span> NaSO<sub>4</sub><sup>-</sup></span><span id=\"MathJax-Element-7-Frame\" class=\"MathJax_SVG\"></span>,<span> NaCO<sub>3</sub><sup>-</sup></span>, and<span>&nbsp;</span><span id=\"MathJax-Element-9-Frame\" class=\"MathJax_SVG\"></span>). These equations are based on new electrical conductivity measurements for electrolytes found in a wide range of natural waters. In addition, the method is coupled to a geochemical speciation model that is used to calculate the speciated concentrations required for accurate conductivity calculations. The method was thoroughly tested by calculating the conductivities of 1593 natural water samples and the mean difference between the calculated and measured conductivities was −0.7&nbsp;±&nbsp;5%. Many of the samples tested were selected to determine the limits of the method and include acid mine waters, geothermal waters, seawater, dilute mountain waters, and river water impacted by municipal waste water. Transport numbers were calculated and H<sup>+</sup>, Na<sup>+</sup>, Ca<sup>2+</sup>, Mg<sup>2+</sup>,<span> NH<sub>4</sub><sup>+</sup></span><span id=\"MathJax-Element-10-Frame\" class=\"MathJax_SVG\"></span>, K<sup>+</sup>, Cl<sup>−</sup>,<span> SO<sub>4</sub><sup>2-</sup></span><span id=\"MathJax-Element-11-Frame\" class=\"MathJax_SVG\"></span>,<span> HCO<sub>3</sub><sup>-</sup></span><span id=\"MathJax-Element-12-Frame\" class=\"MathJax_SVG\"></span>,<span> CP<sub>3</sub><sup>2-</sup></span><span id=\"MathJax-Element-13-Frame\" class=\"MathJax_SVG\"></span>, F<sup>−</sup>, Al<sup>3+</sup>, Fe<sup>2+</sup>,<span> NO<sub>3</sub><sup>-</sup></span><span id=\"MathJax-Element-14-Frame\" class=\"MathJax_SVG\"></span>, and<span>&nbsp;</span><span id=\"MathJax-Element-15-Frame\" class=\"MathJax_SVG\"></span>substantially contributed (&gt;10%) to the conductivity of at least one of the samples. Conductivity imbalance in conjunction with charge imbalance can be used to identify whether a cation or an anion measurement is likely in error, thereby providing an additional quality assurance/quality control constraint on water analyses.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.10.031","issn":"00167037","usgsCitation":"McCleskey, R.B., Nordstrom, D.K., Ryan, J.N., and Ball, J.W., 2012, A new method of calculating electrical conductivity with applications to natural waters: Geochimica et Cosmochimica Acta, v. 77, p. 369-382, https://doi.org/10.1016/j.gca.2011.10.031.","productDescription":"14 p.","startPage":"369","endPage":"382","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":242514,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4a9e4b0c8380cd46802","contributors":{"authors":[{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":523089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":523087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, J. N.","contributorId":118347,"corporation":false,"usgs":true,"family":"Ryan","given":"J.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":523086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, J. W.","contributorId":119400,"corporation":false,"usgs":true,"family":"Ball","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":523088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032569,"text":"70032569 - 2012 - Restoration of the fire-grazing interaction in Artemisia filifolia shrubland","interactions":[],"lastModifiedDate":"2020-11-30T21:49:11.275887","indexId":"70032569","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of the fire-grazing interaction in Artemisia filifolia shrubland","docAbstract":"<p>1. Patterns of landscape heterogeneity are crucial to the maintenance of biodiversity in shrublands and grasslands, yet management practices in these ecosystems typically seek to homogenize landscapes. Furthermore, there is limited understanding of how the interaction of ecological processes, such as fire and grazing, affects patterns of heterogeneity at different spatial scales.</p><p> 2. We conducted research in Artemisia filifolia (Asteraceae) shrublands located in the southern Great Plains of North America to determine the effect of restoring the fire-grazing interaction on vegetation structure. Data were collected for 3 years in replicated pastures grazed by cattle Bos taurus where the fire-grazing interaction had been restored (fire and grazing = treatment pastures) and in pastures that were grazed but remained unburned (grazing only, no fire = control pastures). The effect of the fire-grazing interaction on heterogeneity (variance) of vegetation structure was assessed at scales from 12-5 m 2 to 609 ha. </p><p>3. Most measurements of vegetation structure within treatment pastures differed from control pastures for 1-3 years after being burned but were thereafter similar to the values found in unburned control pastures. </p><p>4. Treatment pastures were characterized by a lower amount of total heterogeneity and a lower amount of heterogeneity through time. </p><p>5. Heterogeneity of vegetation structure tended to decrease as the scale of measurement increased in both treatment and control pastures. There was deviation from this trend, however, in the treatment pastures that exhibited much higher heterogeneity at the patch scale (mean patch size = 202 ha) of measurement, the scale at which patch fires were conducted.</p><p> 6. Synthesis and applications. Vegetation structure in A. filifolia shrublands of our study was readily altered by the fire-grazing interaction but also demonstrated substantial resilience to these effects. The fire-grazing interaction also changed the total amount of heterogeneity characterizing this system, the scale at which heterogeneity in this system was expressed and the amount of heterogeneity expressed through time. Land managers seeking to impose a shifting mosaic of heterogeneity on this vegetation type can do so by restoring the fire-grazing interaction with potential conservation benefits similar to what has been achieved in other ecosystems where historic cycles of disturbance and rest have been restored.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2664.2011.02067.x","issn":"00218901","usgsCitation":"Winter, S., Fuhlendorf, S., Goad, C., Davis, C., Hickman, K., and Leslie, D., 2012, Restoration of the fire-grazing interaction in Artemisia filifolia shrubland: Journal of Applied Ecology, v. 49, no. 1, p. 242-250, https://doi.org/10.1111/j.1365-2664.2011.02067.x.","productDescription":"9 p.","startPage":"242","endPage":"250","costCenters":[],"links":[{"id":474653,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2011.02067.x","text":"Publisher Index Page"},{"id":241654,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213976,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2011.02067.x"}],"country":"United States","state":"Oklahoma","county":"Woodward","otherGeospatial":"The Hal and Fern Cooper Wildlife Management Area","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.605,36.5917],[-99.4972,36.5926],[-99.3895,36.5935],[-99.2961,36.5938],[-99.2964,36.6813],[-99.2958,36.8096],[-99.2878,36.806],[-99.2797,36.8019],[-99.2751,36.8001],[-99.2687,36.7938],[-99.2578,36.7893],[-99.2394,36.7898],[-99.2314,36.7898],[-99.2193,36.7875],[-99.209,36.7916],[-99.2038,36.7916],[-99.1911,36.7899],[-99.1705,36.7876],[-99.1572,36.7854],[-99.1475,36.7795],[-99.1377,36.7727],[-99.1302,36.7654],[-99.1239,36.7596],[-99.1147,36.7559],[-99.1089,36.7559],[-99.1043,36.7519],[-99.1032,36.7491],[-99.0968,36.7396],[-99.094,36.7328],[-99.0842,36.7242],[-99.0785,36.7201],[-99.0658,36.7161],[-99.0555,36.7047],[-99.0486,36.6984],[-99.0486,36.6893],[-99.0428,36.6775],[-99.0279,36.663],[-99.025,36.654],[-99.0222,36.6454],[-99.0141,36.639],[-99.0032,36.629],[-98.9918,36.6181],[-98.9729,36.6027],[-98.9593,36.5992],[-98.9604,36.507],[-98.9611,36.4779],[-98.9606,36.247],[-98.9562,36.2469],[-98.9565,36.1587],[-99.382,36.1645],[-99.5976,36.1639],[-99.5954,36.2457],[-99.6034,36.2457],[-99.6038,36.3051],[-99.6043,36.506],[-99.605,36.5917]]]},\"properties\":{\"name\":\"Woodward\",\"state\":\"OK\"}}]}","volume":"49","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-11-08","publicationStatus":"PW","scienceBaseUri":"505aaacee4b0c8380cd8653c","contributors":{"authors":[{"text":"Winter, S.L.","contributorId":42795,"corporation":false,"usgs":true,"family":"Winter","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":436857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuhlendorf, S.D.","contributorId":69353,"corporation":false,"usgs":true,"family":"Fuhlendorf","given":"S.D.","affiliations":[],"preferred":false,"id":436860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goad, C.L.","contributorId":16664,"corporation":false,"usgs":true,"family":"Goad","given":"C.L.","affiliations":[],"preferred":false,"id":436856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, C.A.","contributorId":68819,"corporation":false,"usgs":true,"family":"Davis","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":436859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hickman, K.R.","contributorId":13818,"corporation":false,"usgs":true,"family":"Hickman","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":436855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leslie, David M. Jr.","contributorId":52514,"corporation":false,"usgs":true,"family":"Leslie","given":"David M.","suffix":"Jr.","affiliations":[],"preferred":false,"id":436858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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