{"pageNumber":"1475","pageRowStart":"36850","pageSize":"25","recordCount":165309,"records":[{"id":70048536,"text":"70048536 - 2013 - Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies","interactions":[],"lastModifiedDate":"2013-10-24T10:39:43","indexId":"70048536","displayToPublicDate":"2013-02-01T10:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies","docAbstract":"The effects of land management and disturbance on ecosystem performance (i.e. biomass production) are often confounded by those of weather and site potential. The current study overcomes this issue by calculating the difference between actual and expected ecosystem performance (EEP) to generate ecosystem performance anomalies (EPA). This study aims to delineate and quantify average EPA from 2000–2009 within the Greater Platte and Upper Colorado River Basins, USA. Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) images averaged over the growing season (GSN) served as a proxy of actual ecosystem performance. Yearly EEP was determined with rule-based piecewise regression tree models of abiotic data (climate, soils, elevation, etc.), independently created for each land cover. EPA were calculated as the residuals of the EEP to GSN relationship, and characterized as normal performing, underperforming, and overperforming at the 90% confidence level. Validation revealed that EPA values were related to biomass production (R<sup>2</sup> = 0.56, P = 0.02) and likely to the proportion of biomass removed by livestock in the Nebraska Sandhills. Overall, 60.6% of the study area was (normal) performing near its EEP, 3.0% was severely underperforming, 5.0% was highly overperforming, and the remainder was slightly underperforming or overperforming. Generally, disturbances such as fires, floods, and insect damage, in addition to high grazing intensity, result in a negative EPA. Conversely, mature stands and appropriate management often result in positive EPA values. This method provides information critical to land managers to evaluate the appropriateness of previous management practices and restoration efforts and quantify disturbance impacts. Results are at a scale sufficient for many of the large management units of the region and for locating areas needing further investigation. Applications of EPA data to monitoring invasive species, grazing impacts, and vulnerability to plant community shifts have been suggested by land management professionals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2013.772311","usgsCitation":"Rigge, M.B., Wylie, B., Gu, Y., Belnap, J., Phuyal, K.P., and Tieszen, L., 2013, Monitoring the status of forests and rangelands in the Western United States using ecosystem performance anomalies: International Journal of Remote Sensing, v. 34, no. 11, p. 4049-4068, https://doi.org/10.1080/01431161.2013.772311.","productDescription":"20 p.","startPage":"4049","endPage":"4068","numberOfPages":"20","ipdsId":"IP-037558","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":278369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278368,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2013.772311"}],"country":"United States","state":"Arizona;Colorado;Kansas;Nebraska;New Mexico;South Dakota;Utah;Wyoming","otherGeospatial":"Greater Platte;Upper Colorado River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.27,33.33 ], [ -112.27,43.68 ], [ -96.09,43.68 ], [ -96.09,33.33 ], [ -112.27,33.33 ] ] ] } } ] }","volume":"34","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"526a4172e4b0c0d229f9f682","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":484995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":484999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":484994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":484996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":484997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tieszen, Larry","contributorId":63907,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","affiliations":[],"preferred":false,"id":484998,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70094691,"text":"70094691 - 2013 - Volatile fluxes through the Big Bend section of the San Andreas Fault, California: helium and carbon-dioxide systematics","interactions":[],"lastModifiedDate":"2014-02-24T10:27:38","indexId":"70094691","displayToPublicDate":"2013-02-01T10:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Volatile fluxes through the Big Bend section of the San Andreas Fault, California: helium and carbon-dioxide systematics","docAbstract":"To investigate the source of volatiles and their relationship to the San Andreas Fault System (SAFS), 18 groundwater samples were collected from wells near the Big Bend section of the SAFS in southern California and analyzed for helium and carbon abundance and isotopes. Concentrations of <sup>4</sup>He, corrected for air-bubble entrainment, vary from 4.15 to 62.7 (× 10<sup>− 8</sup>) cm<sup>3</sup> STP g<sup>− 1</sup> H<sub>2</sub>O. <sup>3</sup>He/<sup>4</sup>He ratios vary from 0.09 to 3.52 R<sub>A</sub> (where R<sub>A</sub> = air <sup>3</sup>He/<sup>4</sup>He), consistent with up to 44% mantle helium in samples. A subset of 10 samples was analyzed for the major volatile phase (CO<sub>2</sub>) — the hypothesized carrier phase of the helium in the mantle–crust system: CO<sub>2</sub>/<sup>3</sup>He ratios vary from 0.614 to 142 (× 10<sup>11</sup>), and δ<sup>13</sup>C (CO<sub>2</sub>) values vary from − 21.5 to − 11.9‰ (vs. PDB).\n\n<sup>3</sup>He/<sup>4</sup>He ratios and CO<sub>2</sub> concentrations are highest in the wells located in the Mil Potrero and Cuddy valleys adjacent to the SAFS. The elevated <sup>3</sup>He/<sup>4</sup>He ratios are interpreted to be a consequence of a mantle volatile flux though the SAFS diluted by radiogenic He produced in the crust. Samples with the highest <sup>3</sup>He/<sup>4</sup>He ratios also had the lowest CO<sub>2</sub>/<sup>3</sup>He ratios. The combined helium isotope, He–CO<sub>2</sub> elemental relationships, and δ<sup>13</sup>C (CO<sub>2</sub>) values of the groundwater volatiles reveal a mixture of mantle and deep crustal (metamorphic) fluid origins. The flux of fluids into the seismogenic zone at high hydrostatic pressure may cause fault rupture, and transfer volatiles into the shallow crust.\n\nWe calculate an upward fluid flow rate of 147 mm a<sup>− 1</sup> along the SAFS, up to 37 times higher than previous estimates (Kennedy et al., 1997). However, using newly identified characteristics of the SAFS, we calculate a total flux of <sup>3</sup>He along the SAFS of 7.4 × 103 cm<sup>3</sup> STP a<sup>− 1</sup> (0.33 mol <sup>3</sup>He a<sup>− 1</sup>), and a CO<sub>2</sub> flux of 1.5 × 10<sup>13</sup> cm<sup>3</sup>STP a<sup>− 1</sup> (6.6 × 10<sup>8</sup> mol a<sup>− 1</sup>), ~ 1% of previous estimates. Lower fluxes along the Big Bend section of the SAFS suggest that the flux of mantle volatiles alone is insufficient to cause the super hydrostatic pressure in the seismogenic zone; however, results identify crustal (metamorphic) fluids as a major component of the CO<sub>2</sub> volatile budget, which may represent the additional flux necessary for fault weakening pressure in the SAFS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2012.09.007","usgsCitation":"Kulongoski, J., Hilton, D., Barry, P., Esser, B.K., Hillegonds, D., and Belitz, K., 2013, Volatile fluxes through the Big Bend section of the San Andreas Fault, California: helium and carbon-dioxide systematics: Chemical Geology, v. 339, p. 92-102, https://doi.org/10.1016/j.chemgeo.2012.09.007.","productDescription":"11 p.","startPage":"92","endPage":"102","numberOfPages":"11","ipdsId":"IP-037023","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":282668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282653,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.09.007"}],"country":"United States","state":"California","otherGeospatial":"San Andreas Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,34.666667 ], [ -120.0,35.333333 ], [ -119.0,35.333333 ], [ -119.0,34.666667 ], [ -120.0,34.666667 ] ] ] } } ] }","volume":"339","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7b28e4b0b2908510df3f","contributors":{"authors":[{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":490813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilton, David R.","contributorId":80134,"corporation":false,"usgs":true,"family":"Hilton","given":"David R.","affiliations":[],"preferred":false,"id":490811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barry, Peter H.","contributorId":66596,"corporation":false,"usgs":true,"family":"Barry","given":"Peter H.","affiliations":[],"preferred":false,"id":490810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esser, Bradley K.","contributorId":33161,"corporation":false,"usgs":true,"family":"Esser","given":"Bradley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":490809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hillegonds, Darren","contributorId":85085,"corporation":false,"usgs":true,"family":"Hillegonds","given":"Darren","affiliations":[],"preferred":false,"id":490812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":490808,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118532,"text":"70118532 - 2013 - Temporal and spatial distribution of alteration, mineralization and fluid inclusions in the transitional high-sulfidation epithermal-porphyry copper system at Red Mountain, Arizona","interactions":[],"lastModifiedDate":"2014-07-29T09:51:51","indexId":"70118532","displayToPublicDate":"2013-02-01T09:48:39","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial distribution of alteration, mineralization and fluid inclusions in the transitional high-sulfidation epithermal-porphyry copper system at Red Mountain, Arizona","docAbstract":"<p>Red Mountain, Arizona, is a Laramide porphyry Cu system (PCD) that has experienced only a modest level of erosion compared to most other similar deposits in the southwestern United States. As a result, the upper portion of the magmatic–hydrothermal system, which represents the transition from shallower high-sulfidation epithermal mineralization to deeper porphyry Cu mineralization, is well preserved.</p>\n<br/>\n<p>Within the Red Mountain system, alteration, mineralization and fluid inclusion assemblages show a systematic distribution in both time and space. Early-potassic alteration (characterized by the minerals biotite and magnetite) is paragenetically earlier than late-potassic alteration (K-feldspar–anhydrite) and both are followed by later phyllic (sericite–pyrite) alteration. Advanced argillic alteration (pyrophyllite–alunite–other clay minerals) is thought to be coeval with or postdate phyllic alteration. Minerals characteristic of advanced argillic alteration are present in the near surface. Phyllic alteration extends to greater depths compared to advanced argillic alteration. Early-potassic and late-potassic alteration are only observed in the deepest part of the system. Considerable overlap of phyllic alteration with both early-potassic and late-potassic alteration zones is observed.</p>\n<br/>\n<p>The hypogene mineralization contains 0.4–1.2% Cu and is spatially and temporally related to the late-potassic alteration event. Molybdenum concentration is typically < 300 ppm but positive anomalies (between 600 and 1200 ppm) occur, and typically correlate with the zones of higher Cu grades. Silver and Au range up to 50 ppm and 1 ppm, respectively, and mostly occur in the deeper parts of the system. Individual assays of up to 18 ppm Au and 274 ppm Ag in the shallower part of the system are interpreted to be associated with areas of highly focused fluid flow (i.e., breccias and thick veins). A near-surface, discontinuous chalcocite blanket is represented by scattered Cu anomalies within the mixed oxide/sulfide zone and its discontinuous nature may reflect differential permeability along fractures and faults.</p>\n<br/>\n<p>In the deepest part of the system, an early generation of low-to-moderate density and salinity liquid + vapor inclusions with opaque daughter minerals is followed in time by halite-bearing inclusions that also contain opaque daughter minerals indicating that an early intermediate-density magmatic fluid evolved to a high-density, high-salinity mineralizing fluid. The increase in density and salinity of fluids with time observed in the deeper parts of the system may be the result of immiscibility (“boiling”) of the earlier magmatic fluids or may reflect the compositional evolution of fluids that exsolved from the magma. Trails of inclusions consisting of only vapor-rich inclusions are common in the shallow parts of the system, and are associated with advanced argillic alteration, suggesting that intense boiling (“flashing”) occurred at (or below) this level. Fluid inclusion assemblages consisting of coexisting vapor-rich and halite-bearing inclusions are observed in samples extending from the surface to the upper part of the late-potassic zone, indicating that fluid immiscibility occurred within this depth interval.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geochemical Exploration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science","publisherLocation":"Amsterdam","doi":"10.1016/j.gexplo.2012.11.017","usgsCitation":"Lecumberri-Sanchez, P., Newton, M.C., Westman, E.C., Kamilli, R.J., Canby, V.M., and Bodnar, R.J., 2013, Temporal and spatial distribution of alteration, mineralization and fluid inclusions in the transitional high-sulfidation epithermal-porphyry copper system at Red Mountain, Arizona: Journal of Geochemical Exploration, v. 125, p. 80-93, https://doi.org/10.1016/j.gexplo.2012.11.017.","productDescription":"14 p.","startPage":"80","endPage":"93","numberOfPages":"14","costCenters":[],"links":[{"id":291253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291252,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gexplo.2012.11.017"}],"country":"United States","state":"Arizona","otherGeospatial":"Red Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.709564,33.531061 ], [ -111.709564,33.549661 ], [ -111.677549,33.549661 ], [ -111.677549,33.531061 ], [ -111.709564,33.531061 ] ] ] } } ] }","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a0913","contributors":{"authors":[{"text":"Lecumberri-Sanchez, Pilar","contributorId":30554,"corporation":false,"usgs":true,"family":"Lecumberri-Sanchez","given":"Pilar","email":"","affiliations":[],"preferred":false,"id":496921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, M. Claiborne III","contributorId":60970,"corporation":false,"usgs":true,"family":"Newton","given":"M.","suffix":"III","email":"","middleInitial":"Claiborne","affiliations":[],"preferred":false,"id":496923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westman, Erik C.","contributorId":34838,"corporation":false,"usgs":true,"family":"Westman","given":"Erik","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":496922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamilli, Robert J. bkamilli@usgs.gov","contributorId":5795,"corporation":false,"usgs":true,"family":"Kamilli","given":"Robert","email":"bkamilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":496920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Canby, Vertrees M.","contributorId":76665,"corporation":false,"usgs":true,"family":"Canby","given":"Vertrees","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":496925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bodnar, Robert J.","contributorId":61540,"corporation":false,"usgs":true,"family":"Bodnar","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70058739,"text":"70058739 - 2013 - Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison","interactions":[],"lastModifiedDate":"2013-12-13T09:13:45","indexId":"70058739","displayToPublicDate":"2013-02-01T09:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison","docAbstract":"Purposeful species introductions offer opportunities to inform our understanding of both invasion success and conservation hurdles. We evaluated factors determining the energetic limitations of brown trout (Salmo trutta) in both their native and introduced ranges. Our focus was on brown trout because they are nearly globally distributed, considered one of the world's worst invaders, yet imperiled in much of their native habitat. We synthesized and compared data describing temperature regime, diet, growth, and maximum body size across multiple spatial and temporal scales, from country (both exotic and native habitats) and major geographic area (MGA) to rivers and years within MGA. Using these data as inputs, we next used bioenergetic efficiency (BioEff), a relative scalar representing a realized percentage of maximum possible consumption (0–100%) as our primary response variable and a multi-scale, nested, mixed statistical model (GLIMMIX) to evaluate variation among and within spatial scales and as a function of density and elevation. MGA and year (the residual) explained the greatest proportion of variance in BioEff. Temperature varied widely among MGA and was a strong driver of variation in BioEff. We observed surprisingly little variation in the diet of brown trout, except the overwhelming influence of the switch to piscivory observed only in exotic MGA. We observed only a weak signal of density-dependent effects on BioEff; however, BioEff remained <50% at densities >2.5 fish/m2. The trajectory of BioEff across the life span of the fish elucidated the substantial variation in performance among MGAs; the maximum body size attained by brown trout was consistently below 400 mm in native habitat but reached 600 mm outside their native range, where brown trout grew rapidly, feeding in part on naive prey fishes. The integrative, physiological approach, in combination with the intercontinental and comparative nature of our study, allowed us to overcome challenges associated with context-dependent variation in determining invasion success. Overall our results indicate “growth plasticity across the life span” was important for facilitating invasion, and should be added to lists of factors characterizing successful invaders.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0628.1","usgsCitation":"Budy, P.E., Thiede, G.P., Lobon-Cervia, J., Fernandez, G.G., McHugh, P., McIntosh, A., Vollestad, L.A., Becares, E., and Jellyman, P., 2013, Limitation and facilitation of one of the world's most invasive fish: an intercontinental comparison: Ecology, v. 94, no. 2, p. 356-367, https://doi.org/10.1890/12-0628.1.","productDescription":"12 p.","startPage":"356","endPage":"367","numberOfPages":"12","ipdsId":"IP-033914","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488200,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/126144","text":"External Repository"},{"id":280287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0628.1"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd64a0e4b0b290850ff930","contributors":{"authors":[{"text":"Budy, Phaedra E. pbudy@usgs.gov","contributorId":2232,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"preferred":false,"id":487315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiede, Gary P.","contributorId":9154,"corporation":false,"usgs":true,"family":"Thiede","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lobon-Cervia, Javier","contributorId":69052,"corporation":false,"usgs":true,"family":"Lobon-Cervia","given":"Javier","email":"","affiliations":[],"preferred":false,"id":487322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, Gustavo Gonzolez","contributorId":7173,"corporation":false,"usgs":true,"family":"Fernandez","given":"Gustavo","email":"","middleInitial":"Gonzolez","affiliations":[],"preferred":false,"id":487316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHugh, Peter","contributorId":12313,"corporation":false,"usgs":true,"family":"McHugh","given":"Peter","affiliations":[],"preferred":false,"id":487319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntosh, Angus","contributorId":47630,"corporation":false,"usgs":true,"family":"McIntosh","given":"Angus","email":"","affiliations":[],"preferred":false,"id":487321,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vollestad, Lief Asbjorn","contributorId":97417,"corporation":false,"usgs":true,"family":"Vollestad","given":"Lief","email":"","middleInitial":"Asbjorn","affiliations":[],"preferred":false,"id":487323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Becares, Eloy","contributorId":10712,"corporation":false,"usgs":true,"family":"Becares","given":"Eloy","email":"","affiliations":[],"preferred":false,"id":487318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jellyman, Phillip","contributorId":19465,"corporation":false,"usgs":true,"family":"Jellyman","given":"Phillip","email":"","affiliations":[],"preferred":false,"id":487320,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70045621,"text":"70045621 - 2013 - You're standing on it!  Coal-tar-based pavement sealcoat and environmental and human health","interactions":[],"lastModifiedDate":"2016-07-12T13:59:03","indexId":"70045621","displayToPublicDate":"2013-02-01T06:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5135,"text":"APWA Reporter","active":true,"publicationSubtype":{"id":10}},"title":"You're standing on it!  Coal-tar-based pavement sealcoat and environmental and human health","docAbstract":"<p class=\"p1\"><span class=\"s1\">Coal-tar-based sealcoat&mdash;a product marketed to protect and beautify asphalt pavement&mdash;is a potent source of polycyclic aromatic hydrocarbons (PAHs) to air, soils, streams and lakes, and homes. Does its use present a risk to human health?</span></p>\n<p class=\"p1\"><span class=\"s1\">Results from a new study by researchers from Baylor University and the USGS indicate that living adjacent to a coal-tar-sealed pavement is associated with significant increases in estimated excess lifetime cancer risk, and that much of the increased risk occurs during early childhood.</span></p>","publisher":"American Public Works Association","publisherLocation":"Kansas City, Mo.","usgsCitation":"Mahler, B., and Van Metre, P., 2013, You're standing on it!  Coal-tar-based pavement sealcoat and environmental and human health: APWA Reporter, p. 64-66.","productDescription":"3 p.","startPage":"64","endPage":"66","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042783","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":325107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325106,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://issuu.com/apwa/docs/201302_reporteronline/67?e=0","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd075e4b0589fa1cbdfb9","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173520,"text":"70173520 - 2013 - Association mapping of genetic risk factors for chronic wasting disease in wild deer","interactions":[],"lastModifiedDate":"2016-06-16T13:17:43","indexId":"70173520","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Association mapping of genetic risk factors for chronic wasting disease in wild deer","docAbstract":"<p><span>Chronic wasting disease (CWD) is a fatal transmissible spongiform encephalopathy affecting North American cervids. We assessed the feasibility of association mapping CWD genetic risk factors in wild white-tailed deer (</span><i>Odocoileus virginianus</i><span>) and mule deer (</span><i>Odocoileus hemionus</i><span>) using a panel of bovine microsatellite markers from three homologous deer linkage groups predicted to contain candidate genes. These markers had a low cross-species amplification rate (27.9%) and showed weak linkage disequilibrium (&lt;1&nbsp;cM). Markers near the prion protein and the neurofibromin 1 (</span><i>NF1</i><span>) genes were suggestively associated with CWD status in white-tailed deer (</span><i>P&nbsp;</i><span>=</span><i>&nbsp;</i><span>0.006) and mule deer (</span><i>P&nbsp;</i><span>=</span><i>&nbsp;</i><span>0.02), respectively. This is the first time an association between the&nbsp;</span><i>NF1</i><span>&nbsp;region and CWD has been reported.</span></p>","language":"English","publisher":"Blackwell Publishing Ltd","publisherLocation":"Hoboken, NJ","doi":"10.1111/eva.12003","usgsCitation":"Matsumoto, T., Samuel, M.D., Bollinger, T., Margo Pybus, and Coltman, D.W., 2013, Association mapping of genetic risk factors for chronic wasting disease in wild deer: Evolutionary Applications, v. 6, no. 2, p. 340-352, https://doi.org/10.1111/eva.12003.","productDescription":"13 p.","startPage":"340","endPage":"352","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033475","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473967,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12003","text":"Publisher Index Page"},{"id":323755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-08-30","publicationStatus":"PW","scienceBaseUri":"5763cdafe4b07657d19ba751","contributors":{"authors":[{"text":"Matsumoto, Tomomi","contributorId":171384,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Tomomi","email":"","affiliations":[{"id":12799,"text":"University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":637252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bollinger, Trent","contributorId":171385,"corporation":false,"usgs":false,"family":"Bollinger","given":"Trent","email":"","affiliations":[{"id":26881,"text":"Universtiy of Saskatchewan, Saskatoon, Canada","active":true,"usgs":false}],"preferred":false,"id":637253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Margo Pybus","contributorId":171383,"corporation":false,"usgs":false,"family":"Margo Pybus","affiliations":[{"id":26880,"text":"Fish and Wildlife Division, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":637251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coltman, David W.","contributorId":171382,"corporation":false,"usgs":false,"family":"Coltman","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":12799,"text":"University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":637250,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176182,"text":"70176182 - 2013 - Mapping river bathymetry with a small footprint green LiDAR:  Applications and challenges","interactions":[],"lastModifiedDate":"2016-09-07T14:45:13","indexId":"70176182","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Mapping river bathymetry with a small footprint green LiDAR:  Applications and challenges","docAbstract":"Airborne bathymetric Light Detection And Ranging (LiDAR) systems designed for coastal and marine surveys are increasingly sought after for high-resolution mapping of fluvial systems. To evaluate the potential utility of bathymetric LiDAR for applications of this kind, we compared detailed surveys collected using wading and sonar techniques with measurements from the United States Geological Survey’s hybrid topographic⁄ bathymetric Experimental Advanced Airborne Research LiDAR (EAARL). These comparisons, based upon data collected from the Trinity and Klamath Rivers, California, and the Colorado River, Colorado, demonstrated\nthat environmental conditions and postprocessing algorithms can influence the accuracy and utility of these surveys and must be given consideration. These factors can lead to mapping errors that can have a direct bearing on derivative analyses such as hydraulic modeling and habitat assessment. We discuss the water and substrate characteristics of the sites, compare the conventional and remotely sensed river-bed topographies, and investigate the laser waveforms reflected from submerged targets to provide an evaluation as to the suitability and accuracy of the EAARL system and associated processing algorithms for riverine mapping applications.","language":"English","publisher":"Journal of the American Water Resources Association","doi":"10.1111/jawr.12008","usgsCitation":"Kinzel, P.J., Legleiter, C.J., and Nelson, J.M., 2013, Mapping river bathymetry with a small footprint green LiDAR:  Applications and challenges: Journal of the American Water Resources Association, v. 49, no. 1, p. 183-204, https://doi.org/10.1111/jawr.12008.","productDescription":"12 p.","startPage":"183","endPage":"204","ipdsId":"IP-038143","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-03","publicationStatus":"PW","scienceBaseUri":"57c7ffbae4b0f2f0cebfc2f5","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":647631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":647632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647630,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192218,"text":"70192218 - 2013 - Site Response and Basin Waves in the Sacramento–San Joaquin Delta, California","interactions":[],"lastModifiedDate":"2020-12-18T19:56:48.205307","indexId":"70192218","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","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":"Site Response and Basin Waves in the Sacramento–San Joaquin Delta, California","docAbstract":"<p><span>The Sacramento–San Joaquin Delta is an inland delta at the western extent of the Central Valley. Levees were built around swampy islands starting after the Civil War to reclaim these lands for farming. Various studies show that these levees could fail in concert from shaking from a major local or regional earthquake resulting in salty water from the San Francisco Bay contaminating the water in the Delta. We installed seismographs around the Delta and on levees to assess the contribution of site response to the seismic hazard of the levees. Cone penetrometer testing shows that the upper 10&nbsp;s of meters of soil in the Delta have shear‐wave velocities of about 200  m/s, which would give a strong site response. Seismographs were sited following two strategies: pairs of stations to compare the response of the levees to nearby sites, and a more regional deployment in the Delta. Site response was determined in two different ways: a traditional spectral ratio (TSR) approach of&nbsp;</span><i>S</i><span><span>&nbsp;</span>waves using station BDM of the Berkeley Digital Seismic Net as a reference site, and using<span>&nbsp;</span></span><i>SH</i><span>/</span><i>SV</i><span><span>&nbsp;</span>ratios of noise (or Nakamura’s method). Both estimates usually agree in spectral character for stations whose response is dominated by a resonant peak, but the most obvious peaks in the<span>&nbsp;</span></span><i>SH</i><span>/</span><i>SV</i><span><span>&nbsp;</span>ratios usually are about two‐thirds as large as the main peaks in the TSRs. Levee sites typically have large narrow resonances in the site response function compared to sites in the farmland of the Delta. These resonances, at a frequency of about 1–3&nbsp;Hz, have amplitudes of about 15 with TSR and 10–12 with Nakamura’s method. Sites on farmland in the Delta also have amplifications, but these are typically broader and not as resonant in appearance. Late (slow) Rayleigh waves were recorded at stations in the Delta, have a dominant period of about one second, and are highly monochromatic. Results from a three‐station array at the Holland Marina suggest that they have a phase velocity of about 600  m/s and arrive at about the same azimuth as the straight‐line back azimuth to the source. A dispersion curve determined for the basin or valley waves yields a shallow velocity profile that increases from about 350  m/s in the upper 0.2&nbsp;km to about 1.1  km/s at a depth of about 2&nbsp;km.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110347","usgsCitation":"Fletcher, J.P., and Boatwright, J., 2013, Site Response and Basin Waves in the Sacramento–San Joaquin Delta, California: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 196-210, https://doi.org/10.1785/0120110347.","productDescription":"15 p.","startPage":"196","endPage":"210","ipdsId":"IP-026726","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":381518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.28744506835938,\n              37.0333\n            ],\n            [\n              -121.0667,\n              37.0333\n            ],\n            [\n              -121.0667,\n              38.16587506003647\n            ],\n            [\n              -122.28744506835938,\n              38.16587506003647\n            ],\n            [\n              -122.28744506835938,\n              37.0333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"59f98bbde4b0531197afa038","contributors":{"authors":[{"text":"Fletcher, Jon Peter B. 0000-0001-8885-6177 jfletcher@usgs.gov","orcid":"https://orcid.org/0000-0001-8885-6177","contributorId":1216,"corporation":false,"usgs":true,"family":"Fletcher","given":"Jon","email":"jfletcher@usgs.gov","middleInitial":"Peter B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714839,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192470,"text":"70192470 - 2013 - Working with strainmeter data","interactions":[],"lastModifiedDate":"2017-10-31T14:19:46","indexId":"70192470","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Working with strainmeter data","docAbstract":"<p><span>The Plate Boundary Observatory (PBO), the geodetic component of the U.S. National Science Foundation–funded Earthscope program, includes 75 borehole and 6 laser strainmeters (</span><a title=\"Link to external resource: http://pbo.unavco.org\" href=\"http://pbo.unavco.org/\" target=\"_blank\" data-mce-href=\"http://pbo.unavco.org/\">http://pbo.unavco.org</a><span>). The strainmeters are installed at several locations: on the Cascadia forearc in Washington state and on Vancouver Island, Canada; in arrays of two to nine instruments along the North American–Pacific plate boundary in California; at Mount St. Helens; and in Yellowstone National Park. For deformation signals seconds to weeks in duration, strainmeters have a resolution and a signal-to-noise ratio superior to those of seismometers and GPS. However, this high sensitivity can introduce nontectonic signals into strain data, presenting data interpretation challenges, especially for borehole strainmeters.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2013EO090011","usgsCitation":"Hodgkinson, K.M., Agnew, D., and Roeloffs, E.A., 2013, Working with strainmeter data: Eos, Earth and Space Science News, v. 94, no. 9, p. 91-91, https://doi.org/10.1002/2013EO090011.","productDescription":"1 p.","startPage":"91","endPage":"91","ipdsId":"IP-042592","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474089,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013eo090011","text":"Publisher Index Page"},{"id":347890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-26","publicationStatus":"PW","scienceBaseUri":"59f98bbde4b0531197afa033","contributors":{"authors":[{"text":"Hodgkinson, Kathleen M.","contributorId":80179,"corporation":false,"usgs":true,"family":"Hodgkinson","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":718661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agnew, Duncan 0000-0002-2360-7783","orcid":"https://orcid.org/0000-0002-2360-7783","contributorId":178605,"corporation":false,"usgs":false,"family":"Agnew","given":"Duncan","email":"","affiliations":[],"preferred":false,"id":718662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roeloffs, Evelyn A. 0000-0002-4761-0469 evelynr@usgs.gov","orcid":"https://orcid.org/0000-0002-4761-0469","contributorId":2680,"corporation":false,"usgs":true,"family":"Roeloffs","given":"Evelyn","email":"evelynr@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":718663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043370,"text":"70043370 - 2013 - Towards integration of GLAS data into a national fuels mapping program","interactions":[],"lastModifiedDate":"2013-05-30T12:17:31","indexId":"70043370","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Towards integration of GLAS data into a national fuels mapping program","docAbstract":"Comprehensive canopy structure and fuel data are critical for understanding and modeling wildland fire. The LANDFIRE project produces such data nationwide based on a collection of field observations, Landsat imagery, and other geospatial data. Where field data are not available, alternate strategies are being investigated. In this study, vegetation structure data available from GLAS were used to fill this data gap for the Yukon Flats Ecoregion of interior Alaska. The GLAS-derived structure and fuel layers and the original LANDFIRE layers were subsequently used as inputs into a fire behavior model to determine what effect the revised inputs would have on the model outputs. The outputs showed that inclusion of the GLAS data enabled better landscape-level characterization of\nvegetation structure and therefore enabled a broader wildland fire modeling capability. The results of this work underscore how GLAS data can be incorporated into LANDFIRE canopy structure and fuel mapping.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Photogrammetric Engineering and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society for Photogrammetry","usgsCitation":"Peterson, B.E., Nelson, K., and Wylie, B., 2013, Towards integration of GLAS data into a national fuels mapping program: Photogrammetric Engineering and Remote Sensing, v. 79, no. 2, p. 175-183.","productDescription":"9 p.","startPage":"175","endPage":"183","ipdsId":"IP-038047","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":273015,"type":{"id":11,"text":"Document"},"url":"https://www.conservationgateway.org/ConservationPractices/FireLandscapes/LANDFIRE/Documents/Peterson%20et%20all%20GLAS%20and%20Fuel%20Mapping.pdf"},{"id":273016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats Ecoregion","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.55,65.47 ], [ -149.55,67.47 ], [ -142.43,67.47 ], [ -142.43,65.47 ], [ -149.55,65.47 ] ] ] } } ] }","volume":"79","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a874ece4b082d85d5ed90a","contributors":{"authors":[{"text":"Peterson, Birgit E. 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":3599,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","middleInitial":"E.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":473477,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043780,"text":"70043780 - 2013 - Rapid increases and time-lagged declines in amphibian occupancy after wildfire","interactions":[],"lastModifiedDate":"2013-06-07T10:14:21","indexId":"70043780","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Rapid increases and time-lagged declines in amphibian occupancy after wildfire","docAbstract":"Climate change is expected to increase the frequency and severity of drought and wildfire. Aquatic and moisture-sensitive species, such as amphibians, may be particularly vulnerable to these modified disturbance regimes because large wildfires often occur during extended droughts and thus may compound environmental threats. However, understanding of the effects of wildfires on amphibians in forests with long fire-return intervals is limited. Numerous stand-replacing wildfires have occurred since 1988 in Glacier National Park (Montana, U.S.A.), where we have conducted long-term monitoring of amphibians. We measured responses of 3 amphibian species to fires of different sizes, severity, and age in a small geographic area with uniform management. We used data from wetlands associated with 6 wildfires that burned between 1988 and 2003 to evaluate whether burn extent and severity and interactions between wildfire and wetland isolation affected the distribution of breeding populations. We measured responses with models that accounted for imperfect detection to estimate occupancy during prefire (0-4 years) and different postfire recovery periods. For the long-toed salamander (Ambystoma macrodactylum) and Columbia spotted frog (Rana luteiventris), occupancy was not affected for 6 years after wildfire. But 7-21 years after wildfire, occupancy for both species decreased ≥ 25% in areas where >50% of the forest within 500 m of wetlands burned. In contrast, occupancy of the boreal toad (Anaxyrus boreas) tripled in the 3 years after low-elevation forests burned. This increase in occupancy was followed by a gradual decline. Our results show that accounting for magnitude of change and time lags is critical to understanding population dynamics of amphibians after large disturbances. Our results also inform understanding of the potential threat of increases in wildfire frequency or severity to amphibians in the region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1523-1739.2012.01921.x","usgsCitation":"Hossack, B.R., Lowe, W., and Corn, P., 2013, Rapid increases and time-lagged declines in amphibian occupancy after wildfire: Conservation Biology, v. 27, no. 1, p. 219-228, https://doi.org/10.1111/j.1523-1739.2012.01921.x.","productDescription":"10 p.","startPage":"219","endPage":"228","ipdsId":"IP-035616","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":273437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273436,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1523-1739.2012.01921.x"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.067777777777778,4.133888888888889 ], [ -11.067777777777778,0.0011111111111111111 ], [ -11.050555555555556,0.0011111111111111111 ], [ -11.050555555555556,4.133888888888889 ], [ -11.067777777777778,4.133888888888889 ] ] ] } } ] }","volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-09-14","publicationStatus":"PW","scienceBaseUri":"51b300e5e4b01368e589e3ea","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":474229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":474230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corn, Paul Stephen 0000-0002-4106-6335","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":107379,"corporation":false,"usgs":true,"family":"Corn","given":"Paul Stephen","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":474231,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042865,"text":"70042865 - 2013 - Evaluating ion exchange resin efficiency and oxidative capacity for the separation of uranium(IV) and uranium(VI)","interactions":[],"lastModifiedDate":"2013-03-10T14:36:57","indexId":"70042865","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1755,"text":"Geochemical Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating ion exchange resin efficiency and oxidative capacity for the separation of uranium(IV) and uranium(VI)","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemical Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1186/1467-4866-14-1","usgsCitation":"Stoliker, D., Kent, D.B., Kaviani, N., and Davis, J., 2013, Evaluating ion exchange resin efficiency and oxidative capacity for the separation of uranium(IV) and uranium(VI): Geochemical Transactions, v. 14, no. 1, https://doi.org/10.1186/1467-4866-14-1.","ipdsId":"IP-043438","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":488143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1467-4866-14-1","text":"Publisher Index Page"},{"id":269033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269032,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1467-4866-14-1"}],"country":"United States","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-31","publicationStatus":"PW","scienceBaseUri":"53cd583be4b0b290850f7f5e","contributors":{"authors":[{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":472442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":472441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaviani, Nazila","contributorId":40491,"corporation":false,"usgs":true,"family":"Kaviani","given":"Nazila","email":"","affiliations":[],"preferred":false,"id":472443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, James A.","contributorId":69289,"corporation":false,"usgs":true,"family":"Davis","given":"James A.","affiliations":[],"preferred":false,"id":472444,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043201,"text":"70043201 - 2013 - Use of classification trees to apportion single echo detections to species: Application to the pelagic fish community of Lake Superior","interactions":[],"lastModifiedDate":"2013-06-03T10:56:30","indexId":"70043201","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of classification trees to apportion single echo detections to species: Application to the pelagic fish community of Lake Superior","docAbstract":"Acoustic methods are used to estimate the density of pelagic fish in large lakes with results of midwater trawling used to assign species composition. Apportionment in lakes having mixed species can be challenging because only a small fraction of the water sampled acoustically is sampled with trawl gear. Here we describe a new method where single echo detections (SEDs) are assigned to species based on classification tree models developed from catch data that separate species based on fish size and the spatial habitats they occupy. During the summer of 2011, we conducted a spatially-balanced lake-wide acoustic and midwater trawl survey of Lake Superior. A total of 51 sites in four bathymetric depth strata (0–30 m, 30–100 m, 100–200 m, and >200 m) were sampled. We developed classification tree models for each stratum and found fish length was the most important variable for separating species. To apply these trees to the acoustic data, we needed to identify a target strength to length (TS-to-L) relationship appropriate for all abundant Lake Superior pelagic species. We tested performance of 7 general (i.e., multi-species) relationships derived from three published studies. The best-performing relationship was identified by comparing predicted and observed catch compositions using a second independent Lake Superior data set. Once identified, the relationship was used to predict lengths of SEDs from the lake-wide survey, and the classification tree models were used to assign each SED to a species. Exotic rainbow smelt (Osmerus mordax) were the most common species at bathymetric depths <100 m with their population estimated at 755 million (3.4 kt). Kiyi (Coregonus kiyi) were the most abundant species at depths >100 m (384 million; 6.0 kt). Cisco (Coregonus artedi) were widely distributed over all strata with their population estimated at 182 million (44 kt). The apportionment method we describe should be transferable to other large lakes provided fish are not tightly aggregated, and an appropriate TS-to-L relationship for abundant pelagic fish species can be determined.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2012.12.012","usgsCitation":"Yule, D., Adams, J.V., Hrabik, T.R., Vinson, M., Woiak, Z., and Ahrenstroff, T.D., 2013, Use of classification trees to apportion single echo detections to species: Application to the pelagic fish community of Lake Superior: Fisheries Research, v. 140, p. 123-132, https://doi.org/10.1016/j.fishres.2012.12.012.","productDescription":"10 p.","startPage":"123","endPage":"132","ipdsId":"IP-043013","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":273087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273085,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fishres.2012.12.012"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.562,46.4146 ], [ -89.562,48.8488 ], [ -84.354,48.8488 ], [ -84.354,46.4146 ], [ -89.562,46.4146 ] ] ] } } ] }","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adbaebe4b07c214e64bd4b","contributors":{"authors":[{"text":"Yule, Daniel L.","contributorId":92130,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","affiliations":[],"preferred":false,"id":473158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":473153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":473154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vinson, Mark R.","contributorId":91774,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark R.","affiliations":[],"preferred":false,"id":473157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woiak, Zebadiah","contributorId":37232,"corporation":false,"usgs":true,"family":"Woiak","given":"Zebadiah","affiliations":[],"preferred":false,"id":473155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahrenstroff, Tyler D.","contributorId":64540,"corporation":false,"usgs":true,"family":"Ahrenstroff","given":"Tyler","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":473156,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70140760,"text":"70140760 - 2013 - Shifts in stable-isotope signatures confirm parasitic relationship of freshwater mussel glochidia attached to host fish","interactions":[],"lastModifiedDate":"2015-02-11T13:46:28","indexId":"70140760","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2393,"text":"Journal of Molluscan Studies","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in stable-isotope signatures confirm parasitic relationship of freshwater mussel glochidia attached to host fish","docAbstract":"<p><span>The parasitic nature of the association between glochidia of unionoidean bivalves and their host fish (i.e. the role of fish hosts in providing nutritional resources to the developing glochidia) is still uncertain. While previous work has provided descriptions of development of glochidia on fish hosts, earlier studies have not explicitly documented the flow of nutrition from the host fish to the juvenile mussel. Therefore, our objective was to use stable isotope analysis to quantitatively document nutrient flow between fish and glochidia. Glochidia were collected from nine adult&nbsp;</span><i>Lampsilis cardium</i><span><span>&nbsp;</span>and used to inoculate<span>&nbsp;</span></span><i>Micropterus salmoides</i><span>(</span><i>n</i><span><span>&nbsp;</span>= 27; three fish per maternal mussel) that produced juvenile mussels for the experiment. Adult mussel tissue samples, glochidia, transformed juvenile mussels and fish gill tissues were analysed for<span>&nbsp;</span></span><i>&delta;</i><sup>15</sup><span>N and<span>&nbsp;</span></span><i>&delta;</i><sup>13</sup><span>C isotope ratios. We used a linear mixing model to estimate the fraction of juvenile mussel tissue derived from the host fish's tissue during attachment. Our analyses indicate a distinct shift in both C and N isotopic ratios from the glochidial stage to the juvenile stage during mussel attachment and development. Linear mixing model analysis indicated that 57.4% of the<span>&nbsp;</span></span><i>&delta;</i><sup>15</sup><span>N in juvenile tissues were obtained from the host fish. This work provides novel evidence that larval unionoideans are true parasites that derive nutrition from host fish during their metamorphosis into the juvenile stage.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/mollus/eyt008","usgsCitation":"Fritts, M.W., Fritts, A., Carleton, S.A., and Bringolf, R.B., 2013, Shifts in stable-isotope signatures confirm parasitic relationship of freshwater mussel glochidia attached to host fish: Journal of Molluscan Studies, v. 79, no. 2, p. 163-167, https://doi.org/10.1093/mollus/eyt008.","productDescription":"5 p.","startPage":"163","endPage":"167","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041462","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mollus/eyt008","text":"Publisher Index Page"},{"id":297922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2c52e4b08de9379b372f","contributors":{"authors":[{"text":"Fritts, Mark W.","contributorId":139239,"corporation":false,"usgs":false,"family":"Fritts","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":540453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritts, Andrea K.","contributorId":139240,"corporation":false,"usgs":false,"family":"Fritts","given":"Andrea K.","affiliations":[],"preferred":false,"id":540454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":540394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bringolf, Robert B.","contributorId":139241,"corporation":false,"usgs":true,"family":"Bringolf","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":540455,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154759,"text":"70154759 - 2013 - Observations on the identification of larval and juvenile <i>Scaphirhynchus</i> spp. in the lower Mississippi River","interactions":[],"lastModifiedDate":"2015-07-01T11:07:10","indexId":"70154759","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Observations on the identification of larval and juvenile <i>Scaphirhynchus</i> spp. in the lower Mississippi River","docAbstract":"<p><i>Scaphirhynchus albus</i><span>&nbsp;(Pallid Sturgeon) and&nbsp;</span><i>S. platorynchus</i><span>&nbsp;(Shovelnose Sturgeon) are sympatric and not uncommon in the lower Mississippi River from the confluence of the Ohio River to the Gulf of Mexico, and in its distributary, the Atchafalaya River. Reports of sturgeon larvae have been rare in the Mississippi River but have been increasing with more effective collection methods. A suite of characters identified in hatchery-reared larval Pallid Sturgeon and Shovelnose Sturgeon from the Yellowstone and upper Missouri rivers has been used to distinguish larval&nbsp;</span><i>Scaphirhynchus</i><span>&nbsp;spp. In the Mississippi River; however, a large proportion of wild&nbsp;</span><i>Scaphirhynchus</i><span>&nbsp;spp. larvae are intermediate in these characters and have been identified by some as hybridized Pallid Sturgeon and Shovelnose Sturgeon. We applied three diagnostic characters developed from Missouri River sturgeon larvae to hatchery-reared progeny of Atchafalaya River Pallid Sturgeon and found them inadequate to identify most of the known Pallid sturgeon larvae. Additionally, fewer than 10% of a large sample of wild&nbsp;</span><i>Scaphirhynchus</i><span>spp. larvae from the lower Mississippi River conformed to either Pallid Sturgeon or Shovelnose Sturgeon at two or more of the characters. We also found a small mouth width relative to head width and a concave forward barbel position may be useful for the identification of 30% or more&nbsp;</span><i>Scaphirhynchus</i><span>&nbsp;spp. larvae and postlarval young-of-year as Shovelnose Sturgeon. Established adult character indices and diagnostic measurement proportionalities also failed to correctly identify any hatchery-reared Pallid Sturgeon juveniles recaptured 6&ndash;7 years following their release.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.012.0202","usgsCitation":"Hartfield, P., Kuntz, N.M., and Schramm, H.L., 2013, Observations on the identification of larval and juvenile <i>Scaphirhynchus</i> spp. in the lower Mississippi River: Southeastern Naturalist, v. 12, no. 2, p. 251-266, https://doi.org/10.1656/058.012.0202.","productDescription":"16 p.","startPage":"251","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041405","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f35e4b0b6d21dd6cbf5","contributors":{"authors":[{"text":"Hartfield, Paul D.","contributorId":103960,"corporation":false,"usgs":true,"family":"Hartfield","given":"Paul D.","affiliations":[],"preferred":false,"id":564031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuntz, Nathan M.","contributorId":145433,"corporation":false,"usgs":false,"family":"Kuntz","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schramm, Harold L. Jr. hschramm@usgs.gov","contributorId":145424,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":563980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70154939,"text":"70154939 - 2013 - Fishery population and habitat assessment in Puerto Rico streams: phase 2 final report","interactions":[],"lastModifiedDate":"2017-02-27T14:15:37","indexId":"70154939","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Fishery population and habitat assessment in Puerto Rico streams: phase 2 final report","docAbstract":"<p>This document serves as the Final Report for research on Puerto Rico stream fishes and their habitat funded by the Puerto Rico Department of Natural and Environmental Resources, in the form of a grant to the North Carolina Cooperative Fish and Wildlife Research Unit. This research was also conducted to meet the thesis requirement for a Master of Science degree granted to Elissa Buttermore (Chapters 3–4) and the dissertation requirement for a Doctor of Philospophy degree granted to William Smith (Chapters 5–8). Formatting differs among chapters, as each was developed to target a specific scientific journal and to conform to journal style.</p>","language":"English","publisher":"U.S Geological Survey","doi":"10.3133/70154939","usgsCitation":"Kwak, T.J., Smith, W.E., Buttermore, E.N., Cooney, P.B., and Cope, W., 2013, Fishery population and habitat assessment in Puerto Rico streams: phase 2 final report, 270 p. , https://doi.org/10.3133/70154939.","productDescription":"270 p. ","ipdsId":"IP-043697","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":336286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":336284,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://drna.pr.gov/historico/oficinas/arn/recursosvivientes/negociado-de-pesca-y-vida-silvestre/division-de-recursos-marinos-1/publicaciones/Kwak%20et%20al%202013%20PR%20Streams.pdf"}],"country":"United States","otherGeospatial":"Puerto Rico ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.1484375,\n              18.508261205882675\n            ],\n            [\n              -67.19512939453125,\n              18.48742375381096\n            ],\n            [\n              -67.291259765625,\n              18.435319042337355\n            ],\n            [\n              -67.28851318359375,\n              18.341490772004338\n            ],\n            [\n              -67.236328125,\n              18.24761153423444\n            ],\n            [\n              -67.24456787109375,\n              17.908182342733472\n            ],\n            [\n              -66.70074462890625,\n              17.921249418623304\n            ],\n            [\n              -65.99761962890625,\n              17.908182342733472\n            ],\n            [\n              -65.64056396484375,\n              18.093644270502615\n            ],\n            [\n              -65.53070068359375,\n              18.396230138028827\n            ],\n            [\n              -65.85205078125,\n              18.47960905583197\n            ],\n            [\n              -67.05780029296875,\n              18.526491895773912\n            ],\n            [\n              -67.1484375,\n              18.508261205882675\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c4e4b01ccd54fddfdc","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William E.","contributorId":141055,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":673450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttermore, Elissa N.","contributorId":84871,"corporation":false,"usgs":true,"family":"Buttermore","given":"Elissa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":673451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooney, Patrick B.","contributorId":141249,"corporation":false,"usgs":false,"family":"Cooney","given":"Patrick","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":673452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cope, W. 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,{"id":70043057,"text":"ofr20131006 - 2013 - A preliminary deposit model for lithium brines","interactions":[],"lastModifiedDate":"2016-08-31T12:38:24","indexId":"ofr20131006","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1006","title":"A preliminary deposit model for lithium brines","docAbstract":"<p>This report is part of an effort by the U.S. Geological Survey to update existing mineral deposit models and to develop new ones. The global transition away from hydrocarbons toward energy alternatives increases demand for many scarce metals. Among these is lithium, a key component of lithium-ion batteries for electric and hybrid vehicles. Lithium brine deposits account for about three-fourths of the world&rsquo;s lithium production. Updating an earlier deposit model, we emphasize geologic information that might directly or indirectly help in exploration for lithium brine deposits, or for assessing regions for mineral resource potential. Special attention is given to the best-known deposit in the world&mdash;Clayton Valley, Nevada, and to the giant Salar de Atacama, Chile.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131006","usgsCitation":"Bradley, D., Munk, L., Jochens, H., Hynek, S., and Labay, K., 2013, A preliminary deposit model for lithium brines: U.S. Geological Survey Open-File Report 2013-1006, iii, 6 p., https://doi.org/10.3133/ofr20131006.","productDescription":"iii, 6 p.","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":266894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1006.gif"},{"id":266892,"type":{"id":15,"text":"Index 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,{"id":70045510,"text":"70045510 - 2013 - Plausible combinations: An improved method to evaluate the covariate structure of Cormack-Jolly-Seber mark-recapture models","interactions":[],"lastModifiedDate":"2018-04-21T13:20:45","indexId":"70045510","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2949,"text":"Open Journal Of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Plausible combinations: An improved method to evaluate the covariate structure of Cormack-Jolly-Seber mark-recapture models","docAbstract":"Mark-recapture models are extensively used in quantitative population ecology, providing estimates of population vital rates, such as survival, that are difficult to obtain using other methods. Vital rates are commonly modeled as functions of explanatory covariates, adding considerable flexibility to mark-recapture models, but also increasing the subjectivity and complexity of the modeling process. Consequently, model selection and the evaluation of covariate structure remain critical aspects of mark-recapture modeling. The difficulties involved in model selection are compounded in Cormack-Jolly- Seber models because they are composed of separate sub-models for survival and recapture probabilities, which are conceptualized independently even though their parameters are not statistically independent. The construction of models as combinations of sub-models, together with multiple potential covariates, can lead to a large model set. Although desirable, estimation of the parameters of all models may not be feasible. Strategies to search a model space and base inference on a subset of all models exist and enjoy widespread use. However, even though the methods used to search a model space can be expected to influence parameter estimation, the assessment of covariate importance, and therefore the ecological interpretation of the modeling results, the performance of these strategies has received limited investigation. We present a new strategy for searching the space of a candidate set of Cormack-Jolly-Seber models and explore its performance relative to existing strategies using computer simulation. The new strategy provides an improved assessment of the importance of covariates and covariate combinations used to model survival and recapture probabilities, while requiring only a modest increase in the number of models on which inference is based in comparison to existing techniques.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Open Journal Of Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Scientific Research Publishing (SCIRP)","doi":"10.4236/oje.2013.31002","usgsCitation":"Bromaghin, J.F., McDonald, T.L., and Amstrup, S.C., 2013, Plausible combinations: An improved method to evaluate the covariate structure of Cormack-Jolly-Seber mark-recapture models: Open Journal Of Ecology, v. 3, no. 1, p. 11-22, https://doi.org/10.4236/oje.2013.31002.","startPage":"11","endPage":"22","numberOfPages":"12","additionalOnlineFiles":"N","ipdsId":"IP-042691","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":473965,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/oje.2013.31002","text":"Publisher Index Page"},{"id":271382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271381,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4236/oje.2013.31002"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51765bebe4b0f989f99e010f","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonald, Trent L.","contributorId":92193,"corporation":false,"usgs":false,"family":"McDonald","given":"Trent","email":"","middleInitial":"L.","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":477675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":477674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193602,"text":"70193602 - 2013 - The utility of atmospheric analyses for the mitigation of artifacts in InSAR","interactions":[],"lastModifiedDate":"2017-11-02T16:06:14","indexId":"70193602","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The utility of atmospheric analyses for the mitigation of artifacts in InSAR","docAbstract":"<p><span>The numerical weather models (NWMs) developed by the meteorological community are able to provide accurate analyses of the current state of the atmosphere in addition to the predictions of the future state. To date, most attempts to apply the NWMs to estimate the refractivity of the atmosphere at the time of satellite synthetic aperture radar (SAR) data acquisitions have relied on predictive models. We test the hypothesis that performing a final assimilative routine, ingesting all available meteorological observations for the times of SAR acquisitions, and generating customized analyses of the atmosphere at those times will better mitigate atmospheric artifacts in differential interferograms. We find that, for our study area around Mount St. Helens (Amboy, Washington, USA), this approach is unable to model the refractive changes and provides no mean benefit for interferogram analysis. The performance is improved slightly by ingesting atmospheric delay estimates derived from the limited local GPS network; however, the addition of water vapor products from the GOES satellites reduces the quality of the corrections. We interpret our results to indicate that, even with this advanced approach, NWMs are not a reliable mitigation technique for regions such as Mount St. Helens with highly variable moisture fields and complex topography and atmospheric dynamics. It is possible, however, that the addition of more spatially dense meteorological data to constrain the analyses might significantly improve the performance of weather modeling of atmospheric artifacts in satellite radar interferograms.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/jgrb.50093","usgsCitation":"Foster, J., Kealy, J., Cherubini, T., Businger, S., Lu, Z., and Murphy, M., 2013, The utility of atmospheric analyses for the mitigation of artifacts in InSAR: Journal of Geophysical Research B: Solid Earth, v. 118, no. 2, p. 748-758, https://doi.org/10.1002/jgrb.50093.","productDescription":"11 p.","startPage":"748","endPage":"758","ipdsId":"IP-044768","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496358,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11603/40220","text":"External Repository"},{"id":348134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-26","publicationStatus":"PW","scienceBaseUri":"59fc2eaee4b0531197b27fe4","contributors":{"authors":[{"text":"Foster, James","contributorId":38598,"corporation":false,"usgs":true,"family":"Foster","given":"James","affiliations":[],"preferred":false,"id":719963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kealy, John","contributorId":199761,"corporation":false,"usgs":false,"family":"Kealy","given":"John","email":"","affiliations":[],"preferred":false,"id":719964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherubini, Tiziana","contributorId":199762,"corporation":false,"usgs":false,"family":"Cherubini","given":"Tiziana","email":"","affiliations":[],"preferred":false,"id":719965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Businger, S.","contributorId":65331,"corporation":false,"usgs":true,"family":"Businger","given":"S.","affiliations":[],"preferred":false,"id":719966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":719967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Michael","contributorId":199763,"corporation":false,"usgs":false,"family":"Murphy","given":"Michael","affiliations":[],"preferred":false,"id":719968,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042831,"text":"70042831 - 2013 - Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology","interactions":[],"lastModifiedDate":"2013-03-10T15:02:15","indexId":"70042831","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology","docAbstract":"Spatially and temporally distributed measurements of processes, such as baseflow at the watershed scale, come at substantial equipment and personnel cost. Research presented here focuses on building a crowdsourced database of inexpensive distributed stream stage measurements. Signs on staff gauges encourage citizen scientists to voluntarily send hydrologic measurements (e.g., stream stage) via text message to a server that stores and displays the data on the web. Based on the crowdsourced stream stage, we evaluate the accuracy of citizen scientist measurements and measurement approach. The results show that crowdsourced data collection is a supplemental method for collecting hydrologic data and a promising method of public engagement.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2012.00956.x","usgsCitation":"Fienen, M., and Lowry, C., 2013, Crowdsourcing to Acquire Hydrologic Data and Engage Citizen Scientists: CrowdHydrology: Ground Water, v. 51, no. 1, p. 151-156, https://doi.org/10.1111/j.1745-6584.2012.00956.x.","startPage":"151","endPage":"156","ipdsId":"IP-037685","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":269037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269036,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2012.00956.x"}],"country":"United States","volume":"51","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-06-20","publicationStatus":"PW","scienceBaseUri":"53cd537ae4b0b290850f52d8","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowry, Chris","contributorId":67387,"corporation":false,"usgs":true,"family":"Lowry","given":"Chris","email":"","affiliations":[],"preferred":false,"id":472360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038472,"text":"70038472 - 2013 - Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","interactions":[],"lastModifiedDate":"2020-09-11T17:08:53.632551","indexId":"70038472","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","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":"Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border","docAbstract":"<p>The extent to which faults exhibit temporally varying slip rates has important consequences for models of fault mechanics and probabilistic seismic hazard. Here, we explore the temporal behavior of the dextral‐slip Warm Springs Valley fault system, which is part of a network of closely spaced (10–20 km) faults in the northern Walker Lane (California–Nevada border). We develop a late Quaternary slip record for the fault using Quaternary mapping and high‐resolution topographic data from airborne Light Distance and Ranging (LiDAR). The faulted Fort Sage alluvial fan (40.06° N, 119.99° W) is dextrally displaced 98+42/-43 m, and we estimate the age of the alluvial fan to be 41.4+10.0/-4.8 to 55.7±9.2  ka, based on a terrestrial cosmogenic <sup>10</sup>Be depth profile and <sup>36</sup>Cl analyses on basalt boulders, respectively. The displacement and age constraints for the fan yield a slip rate of 1.8 +0.8/-0.8 mm/yr to 2.4 +1.2/-1.1 mm/yr (2σ) along the northern Warm Springs Valley fault system for the past 41.4–55.7 ka. In contrast to this longer‐term slip rate, shorelines associated with the Sehoo highstand of Lake Lahontan (~15.8  ka) adjacent to the Fort Sage fan are dextrally faulted at most 3 m, which limits a maximum post‐15.8 ka slip rate to 0.2  mm/yr. These relations indicate that the post‐Lahontan slip rate on the fault is only about one‐tenth the longer‐term (41–56 ka) average slip rate. This apparent slip‐rate variation may be related to co‐dependent interaction with the nearby Honey Lake fault system, which shows evidence of an accelerated period of mid‐Holocene earthquakes.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120020","usgsCitation":"Gold, R., dePolo, C., Briggs, R.W., Crone, A., and Goss, J., 2013, Late quaternary slip-rate variations along the Warm Springs Valley fault system, northern Walker Lane, California-Nevada border: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 542-558, https://doi.org/10.1785/0120120020.","productDescription":"17 p.","startPage":"542","endPage":"558","ipdsId":"IP-038135","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":267417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Walker Lane","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.28106689453125,\n              39.74943369178247\n            ],\n            [\n              -119.74822998046875,\n              39.74943369178247\n            ],\n            [\n              -119.74822998046875,\n              40.02551125229787\n            ],\n            [\n              -120.28106689453125,\n              40.02551125229787\n            ],\n            [\n              -120.28106689453125,\n              39.74943369178247\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"511e158de4b071e86a19a463","contributors":{"authors":[{"text":"Gold, Ryan","contributorId":97400,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","affiliations":[],"preferred":false,"id":464324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"dePolo, Craig","contributorId":87433,"corporation":false,"usgs":true,"family":"dePolo","given":"Craig","affiliations":[],"preferred":false,"id":464323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":464321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crone, Anthony","contributorId":20624,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","affiliations":[],"preferred":false,"id":464322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goss, John","contributorId":240591,"corporation":false,"usgs":false,"family":"Goss","given":"John","email":"","affiliations":[],"preferred":false,"id":798516,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155202,"text":"70155202 - 2013 - Using isotopes of dissolved inorganic carbon species and water to separate sources of recharge in a cave spring, northwestern Arkansas, USA Blowing Spring Cave","interactions":[],"lastModifiedDate":"2015-08-05T10:40:45","indexId":"70155202","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":628,"text":"Acta Carsologica","active":true,"publicationSubtype":{"id":10}},"title":"Using isotopes of dissolved inorganic carbon species and water to separate sources of recharge in a cave spring, northwestern Arkansas, USA Blowing Spring Cave","docAbstract":"<p><span>Blowing Spring Cave in northwestern Arkansas is representative of cave systems in the karst of the Ozark Plateaus, and stable isotopes of water (&delta;18O and &delta;2H) and inorganic carbon (&delta;13C) were used to quantify soil-water, bedrock-matrix water, and precipitation contributions to cave-spring flow during storm events to understand controls on cave water quality. Water samples from recharge-zone soils and the cave were collected from March to May 2012 to implement a multicomponent hydrograph separation approach using &delta;18O and &delta;2H of water and dissolved inorganic carbon (&delta;13C&ndash;DIC). During baseflow, median &delta;2H and &delta;18O compositions were &ndash;41.6&permil; and &ndash;6.2&permil; for soil water and were &ndash;37.2&permil; and &ndash;5.9&permil; for cave water, respectively. Median DIC concentrations for soil and cave waters were 1.8 mg/L and 25.0 mg/L, respectively, and median &delta;13C&ndash;DIC compositions were &ndash;19.9&permil; and &ndash;14.3&permil;, respectively. During a March storm event, 12.2 cm of precipitation fell over 82 h and discharge increased from 0.01 to 0.59 m3/s. The isotopic composition of precipitation varied throughout the storm event because of rainout, a change of 50&permil; and 10&permil; for &delta;2H and &delta;18O was observed, respectively. Although, at the spring, &delta;2H and &delta;18O only changed by approximately 3&permil; and 1&permil;, respectively. The isotopic compositions of precipitation and pre-event (i.e., soil and bedrock matrix) water were isotopically similar and the two-component hydrograph separation was inaccurate, either overestimating (&gt;100%) or underestimating (&lt;0%) the precipitation contribution to the spring. During the storm event, spring DIC and &delta;13C&ndash;DIC decreased to a minimum of 8.6 mg/L and &ndash;16.2&permil;, respectively. If the contribution from precipitation was assumed to be zero, soil water was found to contribute between 23 to 72% of the total volume of discharge. Although the assumption of negligible contributions from precipitation is unrealistic, especially in karst systems where rapid flow through conduits occurs, the hydrograph separation using inorganic carbon highlights the importance of considering vadose-zone soil water when analyzing storm chemohydrographs.</span></p>","language":"English","publisher":"Acta Carsologica","doi":"10.3986/ac.v42i2-3.667","usgsCitation":"Knierim, K., Pollock, E., and Hays, P.D., 2013, Using isotopes of dissolved inorganic carbon species and water to separate sources of recharge in a cave spring, northwestern Arkansas, USA Blowing Spring Cave: Acta Carsologica, v. 42, no. 2-3, p. 261-276, https://doi.org/10.3986/ac.v42i2-3.667.","productDescription":"16 p.","startPage":"261","endPage":"276","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046215","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":473966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3986/ac.v42i2-3.667","text":"Publisher Index Page"},{"id":306423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","city":"Bella Vista","otherGeospatial":"Blowing Spring","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.37736511230469,\n              36.40028364332349\n            ],\n            [\n              -94.37736511230469,\n              36.49914942301417\n            ],\n            [\n              -94.15901184082031,\n              36.49914942301417\n            ],\n            [\n              -94.15901184082031,\n              36.40028364332349\n            ],\n            [\n              -94.37736511230469,\n              36.40028364332349\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"2-3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-10","publicationStatus":"PW","scienceBaseUri":"55c333b0e4b033ef52106aa5","contributors":{"authors":[{"text":"Knierim, Katherine J. kknierim@usgs.gov","contributorId":5991,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine J.","email":"kknierim@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":567330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Erik","contributorId":146296,"corporation":false,"usgs":false,"family":"Pollock","given":"Erik","affiliations":[],"preferred":false,"id":567331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044050,"text":"70044050 - 2013 - Rupture history of the 2008 <i>M</i><sub>w</sub> 7.9 Wenchuan, China, earthquake: Evaluation of separate and joint inversions of geodetic, teleseismic, and strong-motion data","interactions":[],"lastModifiedDate":"2016-01-27T16:01:18","indexId":"70044050","displayToPublicDate":"2013-02-01T00:00:00","publicationYear":"2013","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":"Rupture history of the 2008 <i>M</i><sub>w</sub> 7.9 Wenchuan, China, earthquake: Evaluation of separate and joint inversions of geodetic, teleseismic, and strong-motion data","docAbstract":"<p>An extensive data set of teleseismic and strong-motion waveforms and geodetic offsets is used to study the rupture history of the 2008 Wenchuan, China, earthquake. A linear multiple-time-window approach is used to parameterize the rupture. Because of the complexity of the Wenchuan faulting, three separate planes are used to represent the rupturing surfaces. This earthquake clearly demonstrates the strengths and limitations of geodetic, teleseismic, and strong-motion data sets. Geodetic data (static offsets) are valuable for determining the distribution of shallower slip but are insensitive to deeper faulting and reveal nothing about the timing of slip. Teleseismic data in the distance range 30&deg;&ndash;90&deg; generally involve no modeling difficulties because of simple ray paths and can distinguish shallow from deep slip. Teleseismic data, however, cannot distinguish between different slip scenarios when multiple fault planes are involved because steep takeoff angles lead to ambiguity in timing. Local strong-motion data, on the other hand, are ideal for determining the direction of rupture from directivity but can easily be over modeled with inaccurate Green&rsquo;s functions, leading to misinterpretation of the slip distribution. We show that all three data sets are required to give an accurate description of the Wenchuan rupture. The moment is estimated to be approximately 1.0 &times; 10<sup>21</sup> N &middot; m with the slip characterized by multiple large patches with slips up to 10 m. Rupture initiates on the southern end of the Pengguan fault and proceeds unilaterally to the northeast. Upon reaching the cross-cutting Xiaoyudong fault, rupture of the adjacent Beichuan fault starts at this juncture and proceeds bilaterally to the northeast and southwest.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120120108","usgsCitation":"Hartzell, S.H., Mendoza, C., Ramírez-Guzmán, L., Zeng, Y., and Mooney, W., 2013, Rupture history of the 2008 <i>M</i><sub>w</sub> 7.9 Wenchuan, China, earthquake: Evaluation of separate and joint inversions of geodetic, teleseismic, and strong-motion data: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 353-370, https://doi.org/10.1785/0120120108.","productDescription":"18 p.","startPage":"353","endPage":"370","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038915","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":273330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273328,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120108"}],"country":"China","otherGeospatial":"Wenchuan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              101.8487548828125,\n              31.891550612684366\n            ],\n            [\n              102.89794921875,\n              32.43561304116276\n            ],\n            [\n              103.612060546875,\n              32.52365781569917\n            ],\n            [\n              104.23278808593749,\n              32.25462006000722\n            ],\n            [\n              104.6173095703125,\n              31.83089906339438\n            ],\n            [\n              104.0240478515625,\n              31.31140838620163\n            ],\n            [\n              103.45275878906249,\n              30.779598396611537\n            ],\n            [\n              103.2989501953125,\n              30.37761431777479\n            ],\n            [\n              102.227783203125,\n              30.443937998291165\n            ],\n            [\n              101.876220703125,\n              30.954057859276126\n            ],\n            [\n              101.8487548828125,\n              31.891550612684366\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"51b05dede4b030b5198012ed","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mendoza, Carlos","contributorId":10313,"corporation":false,"usgs":true,"family":"Mendoza","given":"Carlos","affiliations":[],"preferred":false,"id":474704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramírez-Guzmán, Leonardo","contributorId":45946,"corporation":false,"usgs":true,"family":"Ramírez-Guzmán","given":"Leonardo","affiliations":[],"preferred":false,"id":474706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeng, Yuesha","contributorId":52068,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuesha","email":"","affiliations":[],"preferred":false,"id":474707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mooney, Walter","contributorId":40952,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","affiliations":[],"preferred":false,"id":474705,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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