{"pageNumber":"70","pageRowStart":"1725","pageSize":"25","recordCount":4111,"records":[{"id":70048250,"text":"70048250 - 2013 - Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","interactions":[],"lastModifiedDate":"2013-11-18T10:01:44","indexId":"70048250","displayToPublicDate":"2013-09-18T15:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","docAbstract":"Depositional models of ancient lakes in thin-skinned retroarc foreland basins rarely benefit from appropriate Quaternary analogues. To address this, we present new stratigraphic, sedimentological and geochemical analyses of four radiocarbon-dated sediment cores from the Pozuelos Basin (PB; northwest Argentina) that capture the evolution of this low-accommodation Puna basin over the past ca. 43 cal kyr. Strata from the PB are interpreted as accumulations of a highly variable, underfilled lake system represented by lake-plain/littoral, profundal, palustrine, saline lake and playa facies associations. The vertical stacking of facies is asymmetric, with transgressive and thin organic-rich highstand deposits underlying thicker, organic-poor regressive deposits. The major controls on depositional architecture and basin palaeogeography are tectonics and climate. Accommodation space was derived from piggyback basin-forming flexural subsidence and Miocene-Quaternary normal faulting associated with incorporation of the basin into the Andean hinterland. Sediment and water supply was modulated by variability in the South American summer monsoon, and perennial lake deposits correlate in time with several well-known late Pleistocene wet periods on the Altiplano/Puna plateau. Our results shed new light on lake expansion–contraction dynamics in the PB in particular and provide a deeper understanding of Puna basin lakes in general.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Basin Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/bre.12025","usgsCitation":"McGlue, M.M., Cohen, A.S., Ellis, G.S., and Kowler, A.L., 2013, Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina): Basin Research, v. 25, no. 6, p. 638-658, https://doi.org/10.1111/bre.12025.","productDescription":"21 p.","startPage":"638","endPage":"658","numberOfPages":"21","ipdsId":"IP-039035","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277829,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/bre.12025"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.8408,-23.926 ], [ -66.8408,-21.064 ], [ -62.9956,-21.064 ], [ -62.9956,-23.926 ], [ -66.8408,-23.926 ] ] ] } } ] }","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"523abd76e4b08cabd166cb00","contributors":{"authors":[{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":484153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowler, Andrew L.","contributorId":36043,"corporation":false,"usgs":true,"family":"Kowler","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048155,"text":"pp1795B - 2013 - Lithofacies, age, depositional setting, and geochemistry of the Otuk Formation in the Red Dog District, northwestern Alaska","interactions":[],"lastModifiedDate":"2018-05-07T20:57:58","indexId":"pp1795B","displayToPublicDate":"2013-09-13T08:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1795","chapter":"B","title":"Lithofacies, age, depositional setting, and geochemistry of the Otuk Formation in the Red Dog District, northwestern Alaska","docAbstract":"Complete penetration of the Otuk Formation in a continuous drill core (diamond-drill hole, DDH 927) from the Red Dog District illuminates the facies, age, depositional environment, source rock potential, and isotope stratigraphy of this unit in northwestern Alaska. The section, in the Wolverine Creek plate of the Endicott Mountains Allochthon (EMA), is ~82 meters (m) thick and appears structurally uncomplicated. Bedding dips are generally low and thicknesses recorded are close to true thicknesses. Preliminary synthesis of sedimentologic, paleontologic, and isotopic data suggests that the Otuk succession in DDH 927 is a largely complete, albeit condensed, marine Triassic section in conformable contact with marine Permian and Jurassic strata. The Otuk Formation in DDH 927 gradationally overlies gray siliceous mudstone of the Siksikpuk Formation (Permian, based on regional correlations) and underlies black organic-rich mudstone of the Kingak(?) Shale (Jurassic?, based on regional correlations). The informal shale, chert, and limestone members of the Otuk are recognized in DDH 927, but the Jurassic Blankenship Member is absent. The lower (shale) member consists of 28 m of black to light gray, silty shale with as much as 6.9 weight percent total organic carbon (TOC). Thin limy layers near the base of this member contain bivalve fragments (Claraia sp.?) consistent with an Early Triassic (Griesbachian-early Smithian) age. Gray radiolarian chert dominates the middle member (25 m thick) and yields radiolarians of Middle Triassic (Anisian and Ladinian) and Late Triassic (Carnian-late middle Norian) ages. Black to light gray silty shale, like that in the lower member, forms interbeds that range from a few millimeters to 7 centimeters in thickness through much of the middle member. A distinctive, 2.4-m-thick interval of black shale and calcareous radiolarite ~17 m above the base of the member has as much as 9.8 weight percent TOC, and a 1.9-m-thick interval of limy to cherty mudstone immediately above this contains radiolarians, foraminifers, conodonts, and halobiid bivalve fragments. The upper (limestone) member (29 m thick) is lime mudstone with monotid bivalves and late Norian radiolarians, overlain by gray chert that contains Rhaetian (latest Triassic) radiolarians; Rhaetian strata have not previously been documented in the Otuk. Rare gray to black shale interbeds in the upper member have as much as 3.4 weight percent TOC. At least 35 m of black mudstone overlies the limestone member; these strata lack interbeds of oil shale and chert that are characteristic of the Blankenship, and instead they resemble the Kingak Shale. Vitrinite reflectance values (2.45 and 2.47 percent Ro) from two samples of black shale in the chert member indicate that these rocks reached a high level of thermal maturity within the dry gas window. Regional correlations indicate that lithofacies in the Otuk Formation vary with both structural and geographic position. For example, the shale member of the Otuk in the Wolverine Creek plate includes more limy layers and less barite (as blades, nodules, and lenses) than equivalent strata in the structurally higher Red Dog plate of the EMA, but it has fewer limy layers than the shale member in the EMA ~450 kilometers (km) to the east at Tiglukpuk Creek. The limestone member of the Otuk is thicker in the Wolverine Creek plate than in the Red Dog plate and differs from this member in EMA sections to the east in containing an upper cherty interval that lacks monotids; a similar interval is seen at the top of the Otuk Formation ~125 km to the west (Lisburne Peninsula). Our observations are consistent with the interpretations of previous researchers that Otuk facies become more distal in higher structural positions and that within a given structural level more distal facies occur to the west. Recent paleogeographic reconstructions indicate that the Otuk accumulated at a relatively high paleolatitude with a bivalve fauna typical of the Boreal realm. A suite of δ<sup>13</sup>C<sub>org</sub> (carbon isotopic composition of carbon) data (n=38) from the upper Siksikpuk Formation through the Otuk Formation and into the Kingak(?) Shale in DDH 927 shows a pattern of positive and negative excursions similar to those reported elsewhere in Triassic strata. In particular, a distinct negative excursion at the base of the Otuk (from ‒23.8 to ‒31.3‰ (permil, or parts per thousand)) likely correlates with a pronounced excursion that marks the Permian-Triassic boundary at many localities worldwide. Another feature of the Otuk δ<sup>13</sup>C<sub>org</sub> record that may correlate globally is a series of negative and positive excursions in the lower member. At the top of the Otuk in DDH 927, the δ<sup>13</sup>C<sub>org</sub> values are extremely low and may correlate with a negative excursion that is widely observed at the Triassic-Jurassic boundary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1795B","collaboration":"Studies by the U.S. Geological Survey in Alaska, 2011; This report is Chapter B in <i>Studies by the U.S. Geological Survey in Alaska, 2011</i>. For more information see <a href=\"http://pubs.usgs.gov/pp/1795/index.html\" target=\"_blank\">PP 1795</a>.","usgsCitation":"Dumoulin, J.A., Burruss, R.A., and Blome, C.D., 2013, Lithofacies, age, depositional setting, and geochemistry of the Otuk Formation in the Red Dog District, northwestern Alaska: U.S. Geological Survey Professional Paper 1795, Report: iv, 32 p., https://doi.org/10.3133/pp1795B.","productDescription":"Report: iv, 32 p.","numberOfPages":"40","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":277532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1795b.gif"},{"id":277529,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1795/b/"},{"id":277530,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1795/b/pp1795b.pdf"},{"id":277531,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/pp/1795/index.html"}],"country":"United States","state":"Alaska","otherGeospatial":"Red Dog District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168,66.5 ], [ -168,69.5 ], [ -156,69.5 ], [ -156,66.5 ], [ -168,66.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52342606e4b0b9e9b3336cde","contributors":{"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":483889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burruss, Robert A. 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":558,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":483888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":483890,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70123871,"text":"70123871 - 2013 - A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>)","interactions":[],"lastModifiedDate":"2014-09-10T11:36:43","indexId":"70123871","displayToPublicDate":"2013-09-10T11:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>)","docAbstract":"A central challenge of conservation biology is using limited data to predict rare species occurrence and identify conservation areas that play a disproportionate role in regional persistence. Where species occupy discrete patches in a landscape, such predictions require data about environmental quality of individual patches and the connectivity among high quality patches. We present a novel extension to species occupancy modeling that blends traditionalpredictions of individual patch environmental quality with network analysis to estimate connectivity characteristics using limited survey data. We demonstrate this approach using environmental and geospatial attributes to predict observed occupancy patterns of the Yosemite toad (<i>Anaxyrus (= Bufo) canorus</i>) across >2,500 meadows in Yosemite National Park (USA). <i>A. canorus</i>, a Federal Proposed Species, breeds in shallow water associated with meadows. Our generalized linear model (GLM) accurately predicted ~84% of true presence-absence data on a subset of data withheld for testing. The predicted environmental quality of each meadow was iteratively ‘boosted’ by the quality of neighbors within dispersal distance. We used this park-wide meadow connectivity network to estimate the relative influence of an individual Meadow’s ‘environmental quality’ versus its ‘network quality’ to predict: a) clusters of high quality breeding meadows potentially linked by dispersal, b) breeding meadows with high environmental quality that are isolated from other such meadows, c) breeding meadows with lower environmental quality where long-term persistence may critically depend on the network neighborhood, and d) breeding meadows with the biggest impact on park-wide breeding patterns. Combined with targeted data on dispersal, genetics, disease, and other potential stressors, these results can guide designation of core conservation areas for <i>A. canorus</i> in Yosemite National Park.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PlosOne","doi":"10.1371/journal.pone.0072200","usgsCitation":"Berlow, E.L., Knapp, R.A., Ostoja, S.M., Williams, R.J., McKenny, H., Matchett, J.R., Guo, Q., Fellers, G.M., Kleeman, P., Brooks, M.L., and Joppa, L., 2013, A network extension of species occupancy models in a patchy environment applied to the Yosemite toad (<i>Anaxyrus canorus</i>): PLoS ONE, v. 8, no. 8, e72200, https://doi.org/10.1371/journal.pone.0072200.","productDescription":"e72200","ipdsId":"IP-042749","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0072200","text":"Publisher Index Page"},{"id":293606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293605,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0072200"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.886496,37.494762 ], [ -119.886496,38.185228 ], [ -119.195416,38.185228 ], [ -119.195416,37.494762 ], [ -119.886496,37.494762 ] ] ] } } ] }","volume":"8","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-12","publicationStatus":"PW","scienceBaseUri":"541165bfe4b0fe7e184a5550","contributors":{"authors":[{"text":"Berlow, Eric L.","contributorId":91416,"corporation":false,"usgs":false,"family":"Berlow","given":"Eric","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":500436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knapp, Roland A.","contributorId":69901,"corporation":false,"usgs":false,"family":"Knapp","given":"Roland","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false}],"preferred":false,"id":500430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Richard J.","contributorId":34443,"corporation":false,"usgs":true,"family":"Williams","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":500432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenny, Heather","contributorId":103193,"corporation":false,"usgs":true,"family":"McKenny","given":"Heather","affiliations":[],"preferred":false,"id":500438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, John R. 0000-0002-2905-6468 jmatchett@usgs.gov","orcid":"https://orcid.org/0000-0002-2905-6468","contributorId":1669,"corporation":false,"usgs":true,"family":"Matchett","given":"John","email":"jmatchett@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guo, Qinghau","contributorId":35248,"corporation":false,"usgs":true,"family":"Guo","given":"Qinghau","email":"","affiliations":[],"preferred":false,"id":500433,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500431,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kleeman, Patrick","contributorId":101608,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","affiliations":[],"preferred":false,"id":500437,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500428,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Joppa, Lucas","contributorId":66606,"corporation":false,"usgs":true,"family":"Joppa","given":"Lucas","affiliations":[],"preferred":false,"id":500434,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70047076,"text":"70047076 - 2013 - A record of large earthquakes during the past two millennia on the southern Green Valley Fault, California","interactions":[],"lastModifiedDate":"2013-09-06T09:56:59","indexId":"70047076","displayToPublicDate":"2013-09-06T09:47:00","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":"A record of large earthquakes during the past two millennia on the southern Green Valley Fault, California","docAbstract":"We document evidence for surface-rupturing earthquakes (events) at two trench sites on the southern Green Valley fault, California (SGVF). The 75-80-km long dextral SGVF creeps ~1-4 mm/yr. We identify stratigraphic horizons disrupted by upward-flowering shears and in-filled fissures unlikely to have formed from creep alone. The Mason Rd site exhibits four events from ~1013 CE to the Present. The Lopes Ranch site (LR, 12 km to the south) exhibits three events from 18 BCE to Present including the most recent event (MRE), 1610 ±52 yr CE (1σ) and a two-event interval (18 BCE-238 CE) isolated by a millennium of low deposition. Using Oxcal to model the timing of the 4-event earthquake sequence from radiocarbon data and the LR MRE yields a mean recurrence interval (RI or μ) of 199 ±82 yr (1σ) and ±35 yr (standard error of the mean), the first based on geologic data. The time since the most recent earthquake (open window since MRE) is 402 yr ±52 yr, well past μ~200 yr.  The shape of the probability density function (pdf) of the average RI from Oxcal resembles a Brownian Passage Time (BPT) pdf (i.e., rather than normal) that permits rarer longer ruptures potentially involving the Berryessa and Hunting Creek sections of the northernmost GVF. The model coefficient of variation (cv, σ/μ) is 0.41, but a larger value (cv ~0.6) fits better when using BPT. A BPT pdf with μ of 250 yr and cv of 0.6 yields 30-yr rupture probabilities of 20-25% versus a Poisson probability of 11-17%.","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","doi":"10.1785/0120120198","usgsCitation":"Lienkaemper, J.J., Baldwin, J.N., Turner, R., Sickler, R.R., and Brown, J., 2013, A record of large earthquakes during the past two millennia on the southern Green Valley Fault, California: Bulletin of the Seismological Society of America, v. 103, no. 4, p. 2386-2403, https://doi.org/10.1785/0120120198.","productDescription":"18 p.","startPage":"2386","endPage":"2403","numberOfPages":"18","ipdsId":"IP-034201","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":277360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275085,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120198"}],"country":"United States","state":"California","otherGeospatial":"Green Valley Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,37.0 ], [ -123.0,39.0 ], [ -121.7,39.0 ], [ -121.7,37.0 ], [ -123.0,37.0 ] ] ] } } ] }","volume":"103","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"522aeb62e4b08fd0132e7915","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":481003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, John N.","contributorId":58551,"corporation":false,"usgs":true,"family":"Baldwin","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":481007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Robert","contributorId":56244,"corporation":false,"usgs":true,"family":"Turner","given":"Robert","affiliations":[],"preferred":false,"id":481006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sickler, Robert R. 0000-0002-9141-625X rsickler@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-625X","contributorId":3235,"corporation":false,"usgs":true,"family":"Sickler","given":"Robert","email":"rsickler@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":481004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Johnathan","contributorId":56082,"corporation":false,"usgs":true,"family":"Brown","given":"Johnathan","email":"","affiliations":[],"preferred":false,"id":481005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048009,"text":"ofr20131170H - 2013 - Economic impacts of the SAFRR tsunami scenario in California: Chapter H in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","interactions":[],"lastModifiedDate":"2013-09-06T01:34:29","indexId":"ofr20131170H","displayToPublicDate":"2013-09-06T01:12:00","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":"2013-1170","chapter":"H","title":"Economic impacts of the SAFRR tsunami scenario in California: Chapter H in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>","docAbstract":"This study evaluates the hypothetical economic impacts of the SAFRR (Science Application for Risk Reduction) tsunami scenario to the California economy. The SAFRR scenario simulates a tsunami generated by a hypothetical magnitude 9.1 earthquake that occurs offshore of the Alaska Peninsula (Kirby and others, 2013). Economic impacts are measured by the estimated reduction in California’s gross domestic product (GDP), the standard economic measure of the total value of goods and services produced. Economic impacts are derived from the physical damages from the tsunami as described by Porter and others (2013). The principal physical damages that result in disruption of the California economy are (1) about $100 million in damages to the twin Ports of Los Angeles (POLA) and Long Beach (POLB), (2) about $700 million in damages to marinas, and (3) about $2.5 billion in damages to buildings and contents (properties) in the tsunami inundation zone on the California coast. The study of economic impacts does not include the impacts from damages to roads, bridges, railroads, and agricultural production or fires in fuel storage facilities because these damages will be minimal with respect to the California economy. The economic impacts of damage to other California ports are not included in this study because detailed evaluation of the physical damage to these ports was not available in time for this report. The analysis of economic impacts is accomplished in several steps. First, estimates are made for the direct economic impacts that result in immediate business interruption losses in individual sectors of the economy due to physical damage to facilities or to disruption of the flow of production units (commodities necessary for production). Second, the total economic impacts (consisting of both direct and indirect effects) are measured by including the general equilibrium (essentially quantity and price multiplier effects) of lost production in other sectors by ripple effects upstream and downstream along the supply chain. An appropriate measure of the economic impacts on the California economy for the SAFRR tsunami scenario is the reduction in GDP. The economic impacts are first calculated without resilience, the ability of the economy to adjust to disruptions in ways that mute potential negative impacts. There are many types of resilience, including using existing inventories of materials, using unused capacity, conserving inputs, substituting for disrupted supplies, recapturing production after the disruption is restored, and many others. A method for estimating resilience, identified in the port system and sectors affected by property damages, is applied to indicate potential reductions of direct and total economic impacts. In this SAFRR tsunami scenario analysis of economic impacts to California, we implement established techniques used to model the economic impacts for two previous U.S. Geological Survey (USGS) scenarios: the southern California Shakeout earthquake (Rose and others, 2011) and the California ARkStorm severe winter storm (Sue Wing and others, written commun., 2013). For the SAFRR tsunami scenario, we reviewed the relevant studies that assess economic impacts from previous tsunami events affecting California and elsewhere and estimate the economic impacts of potential tsunami and other threats to POLA and POLB. To our knowledge, assessment of impacts to the California economy from distant source tsunamis does not exist. Previous tsunamis, including those from the 1960 Chile earthquake, the 1964 Alaska earthquake, the 2008 Chile earthquake and the 2011 Japan earthquake, had only relatively minor or very localized severe damage (such as that in Crescent City in 1964), and no studies of the economic impacts were completed. A rare study of the economic impacts of a tsunami event has recently been produced for the Tohoku earthquake and tsunami (Kajitani and others, 2013). Quarterly declines in Japan’s GDP are observed to peak at ‒1.63 percent in the second quarter after the event and stagnate for the rest of the year. The majority of the economic impacts are attributed to the tsunami rather than the earthquake. The hardest hit sectors are identified as agriculture, fisheries, manufacturing, retail, and tourism. Other relevant studies have focused on the economic impacts of threats that close POLA and POLB. We find one analysis of a potential tsunami scenario affecting the California economy through disruption of port operations. Borrero and others (2005) estimated economic impacts to the southern California economy of $7 to $40 billion from a locally generated tsunami that closes POLA and POLB for as much as 1 year. There have also been several studies of the economic impacts of non-tsunami events affecting POLA and POLB. Analyses of an 11-day labor lockout produced a range of estimated national impacts of as much as $1.94 billion/day (Park and others 2008, Martin Associates 2001). Examination of a potential terrorist attack that closes the San Pedro port for 1 month yielded a $29 billion impact to the California economy (Park, 2008). These studies have reinforced the importance of recognizing economic resilience in economic impact analyses. Hall (2004) criticized the upper-end estimate of national economic impacts from the labor lockout based on model shortcomings that neglected short-run substitution behavior and fixed the long-run economic behaviors. Following the 2011 Japanese tsunami, resilience was observed in the forms of rapid recovery of manufacturing sectors, energy conservation, and insurance (Kajitani and others, 2013).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The SAFRR (Science Application for Risk Reduction) Tsunami Scenario (Open File Report 2013-1170)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131170H","collaboration":"Chapter H in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>.  For more information, see: <a href=\"http://pubs.usgs.gov/of/2013/1170/\" target=\"_blank\">Open File Report 2013-1170</a>","usgsCitation":"Wein, A., Rose, A., Sue Wing, I., and Wei, D., 2013, Economic impacts of the SAFRR tsunami scenario in California: Chapter H in <i>The SAFRR (Science Application for Risk Reduction) Tsunami Scenario</i>: U.S. Geological Survey Open-File Report 2013-1170, Report: 50 p.; Table D3: Excel file; Table D4: Excel file; Tsunami Port Direct Impacts without and with Resilience: Excel file, https://doi.org/10.3133/ofr20131170H.","productDescription":"Report: 50 p.; Table D3: Excel file; Table D4: Excel file; Tsunami Port Direct Impacts without and with Resilience: Excel file","onlineOnly":"Y","costCenters":[],"links":[{"id":277335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131170h.gif"},{"id":277330,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1170/h/"},{"id":277331,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1170/h/pdf/of2013-1170h.pdf"},{"id":277332,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1170/h/downloads/table_d3.xlsx"},{"id":277333,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1170/h/downloads/table_d4.xlsx"},{"id":277334,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1170/h/downloads/Tsunami_Port_Direct_Impacts_without_and_with_Resilience.xlsx"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.13,32.53 ], [ -114.13,42.01 ], [ -124.48,42.01 ], [ -124.48,32.53 ], [ -114.13,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522aeb68e4b08fd0132e7935","contributors":{"authors":[{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":483587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Adam","contributorId":82573,"corporation":false,"usgs":true,"family":"Rose","given":"Adam","affiliations":[],"preferred":false,"id":483590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sue Wing, Ian","contributorId":54503,"corporation":false,"usgs":true,"family":"Sue Wing","given":"Ian","affiliations":[],"preferred":false,"id":483589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Dan","contributorId":26962,"corporation":false,"usgs":true,"family":"Wei","given":"Dan","email":"","affiliations":[],"preferred":false,"id":483588,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047993,"text":"sir20135162 - 2013 - Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","interactions":[],"lastModifiedDate":"2017-01-17T20:53:05","indexId":"sir20135162","displayToPublicDate":"2013-09-05T12:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5162","title":"Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States","docAbstract":"A hydrologic model of the Apalachicola–Chattahoochee–Flint River Basin (ACFB) has been developed as part of a U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center effort to provide integrated science that helps resource managers understand the effect of climate change on a range of ecosystem responses. The hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology.\n\nThe ACFB PRMS model simulates streamflow throughout the approximately 50,700 square-kilometer basin on a daily time step for the period 1950–99 using gridded climate forcings of air temperature and precipitation, and parameters derived from spatial data layers of altitude, land cover, soils, surficial geology, depression storage (small water bodies), and data from 56 USGS streamgages. Measured streamflow data from 35 of the 56 USGS streamgages were used to calibrate and evaluate simulated basin streamflow; the remaining gage locations were used for model delineation only. The model matched measured daily streamflow at 31 of the 35 calibration gages with Nash-Sutcliffe Model Efficiency Index (NS) greater than 0.6. Streamflow data for some calibration gages were augmented for regulation and water use effects to represent more natural flow volumes. Time-static parameters describing land cover limited the ability of the simulation to match historical runoff in the more developed subbasins.\n\nOverall, the PRMS simulation of the ACFB provides a good representation of basin hydrology on annual and monthly time steps. Calibration subbasins were analyzed by separating the 35 subbasins into five classes based on physiography, land use, and stream type (tributary or mainstem). The lowest NS values were rarely below 0.6, whereas the median NS for all five classes was within 0.74 to 0.96 for annual mean streamflow, 0.89 to 0.98 for mean monthly streamflow, and 0.82 to 0.98 for monthly mean streamflow. The median bias for all five classes was within –4.3 to 0.8 percent for annual mean streamflow, –6.3 to 0.5 percent for mean monthly streamflow, and –9.3 to 1.3 percent for monthly mean streamflow. The NS results combined with the percent bias results indicated a good to very good streamflow volume simulation for all subbasins.\n\nThis simulation of the ACFB provides a foundation for future modeling and interpretive studies. Streamflow and other components of the hydrologic cycle simulated by PRMS can be used to inform other types of simulations; water-temperature, hydrodynamic, and ecosystem-dynamics simulations are three examples. In addition, possible future hydrologic conditions could be studied using this model in combination with land cover projections and downscaled general circulation model results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135162","usgsCitation":"LaFontaine, J.H., Hay, L.E., Viger, R., Markstrom, S.L., Regan, R., Elliott, C.M., and Jones, J., 2013, Application of the Precipitation-Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States: U.S. Geological Survey Scientific Investigations Report 2013-5162, ix, 118 p., https://doi.org/10.3133/sir20135162.","productDescription":"ix, 118 p.","numberOfPages":"132","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":277319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135162.gif"},{"id":277318,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5162/pdf/sir2013-5162.pdf"},{"id":277317,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5162/"}],"country":"United States","state":"Alabama, Florida, Georgia","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0336,29.6993 ], [ -86.0336,34.9286 ], [ -83.115,34.9286 ], [ -83.115,29.6993 ], [ -86.0336,29.6993 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"522999d0e4b0f33a39167748","contributors":{"authors":[{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":483524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Viger, Roland J.","contributorId":97528,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","affiliations":[],"preferred":false,"id":483530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steve L.","contributorId":50073,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steve","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R. Steve 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":58736,"corporation":false,"usgs":true,"family":"Regan","given":"R. Steve","affiliations":[],"preferred":false,"id":483529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":483525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047924,"text":"70047924 - 2013 - Too risky to settle: avian community structure changes in response to perceived predation risk on adults and offspring","interactions":[],"lastModifiedDate":"2013-09-03T11:00:11","indexId":"70047924","displayToPublicDate":"2013-09-03T10:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Too risky to settle: avian community structure changes in response to perceived predation risk on adults and offspring","docAbstract":"Predation risk is widely hypothesized as an important force structuring communities, but this potential force is rarely tested experimentally, particularly in terrestrial vertebrate communities. How animals respond to predation risk is generally considered predictable from species life-history and natural-history traits, but rigorous tests of these predictions remain scarce. We report on a large-scale playback experiment with a forest bird community that addresses two questions: (i) does perceived predation risk shape the richness and composition of a breeding bird community? And (ii) can species life-history and natural-history traits predict prey community responses to different types of predation risk? On 9 ha plots, we manipulated cues of three avian predators that preferentially prey on either adult birds or offspring, or both, throughout the breeding season. We found that increased perception of predation risk led to generally negative responses in the abundance, occurrence and/or detection probability of most prey species, which in turn reduced the species richness and shifted the composition of the breeding bird community. Species-level responses were largely predicted from the key natural-history trait of body size, but we did not find support for the life-history theory prediction of the relationship between species' slow/fast life-history strategy and their response to predation risk.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society","doi":"10.1098/rspb.2013.0762","usgsCitation":"Hua, F., Fletcher, R., Sieving, K.E., and Dorazio, R.M., 2013, Too risky to settle: avian community structure changes in response to perceived predation risk on adults and offspring: Proceedings of the Royal Society B: Biological Sciences, v. 280, no. 1764, 8 p., https://doi.org/10.1098/rspb.2013.0762.","productDescription":"8 p.","numberOfPages":"8","temporalStart":"2010-02-01","temporalEnd":"2010-08-31","ipdsId":"IP-044467","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473556,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rspb.2013.0762","text":"External Repository"},{"id":277234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277233,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rspb.2013.0762"}],"country":"United States","state":"Florida","otherGeospatial":"Ordway-swisher Biological Station","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.056151,29.63645 ], [ -82.056151,29.762568 ], [ -81.859303,29.762568 ], [ -81.859303,29.63645 ], [ -82.056151,29.63645 ] ] ] } } ] }","volume":"280","issue":"1764","noUsgsAuthors":false,"publicationDate":"2013-08-07","publicationStatus":"PW","scienceBaseUri":"5226f6e2e4b01904cf5a815f","contributors":{"authors":[{"text":"Hua, Fangyuan","contributorId":94579,"corporation":false,"usgs":true,"family":"Hua","given":"Fangyuan","email":"","affiliations":[],"preferred":false,"id":483307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Robert J.","contributorId":81785,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert J.","affiliations":[],"preferred":false,"id":483306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sieving, Kathryn E.","contributorId":99872,"corporation":false,"usgs":true,"family":"Sieving","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":483308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483305,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70094655,"text":"70094655 - 2013 - Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","interactions":[],"lastModifiedDate":"2017-10-24T15:17:59","indexId":"70094655","displayToPublicDate":"2013-09-01T09:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","docAbstract":"Nest-habitat selection in colonial species has rarely been assessed at multiple spatial scales to evaluate its fitness consequences. Management for the federally endangered U.S. Interior population of Least Terns (Sternula antillarum) has focused on maintenance of breeding habitats, including mechanical construction of sandbars from dredged material. Least Terns are attracted to large areas of unvegetated substrate, yet small-scale habitat features are thought to trigger selection for nesting. We evaluated nest-scale habitat selection to determine (1) whether selection differs between constructed and natural sandbars and (2) the subsequent consequences of habitat selection on nest success. During 2006–2008, we examined 869 Least Tern nest sites on constructed and natural sandbars in the Missouri River for evidence of microhabitat selection at the nest in relation to habitat within the surrounding 3-m area. Least Tern nest sites had coarser and larger substrate materials at the nest, more debris, and less vegetation than the surrounding area. Nests in constructed habitats had a greater percentage of coarse substrates and less vegetation or debris than nests in naturally created habitats. Apparent nest success was 1.8× greater on constructed than on natural sandbars. Nest success was best predicted by models with two spatial scales of predictors, including substrates (nest) and vegetation and debris (nest or surrounding area). Our results indicate that Least Terns select nest microhabitat characteristics that are associated with wind- and water-scoured habitats, and that nest success increases when these habitats are selected.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.13048","usgsCitation":"Stucker, J.H., Buhl, D., and Sherfy, M.H., 2013, Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River: The Auk, v. 130, no. 4, p. 753-763, https://doi.org/10.1525/auk.2013.13048.","productDescription":"11 p.","startPage":"753","endPage":"763","ipdsId":"IP-024623","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.13048","text":"Publisher Index Page"},{"id":282660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska;South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.4226,42.5748 ], [ -98.4226,42.9832 ], [ -96.6453,42.9832 ], [ -96.6453,42.5748 ], [ -98.4226,42.5748 ] ] ] } } ] }","volume":"130","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5287e4b0b290850f495e","contributors":{"authors":[{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":490755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189243,"text":"70189243 - 2013 - U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","interactions":[],"lastModifiedDate":"2017-07-06T12:33:05","indexId":"70189243","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","docAbstract":"<p id=\"sp0005\">As part of the Geologic Waste Management Facility feasibility study, Atomic Energy of Canada Ltd. (AECL) is evaluating the suitability of the Chalk River Laboratories (CRL) site in Ontario, situated in crystalline rock of the southwestern Grenville Province, for the possible development of an underground repository for low- and intermediate-level nuclear waste. This paper presents petrographic and trace element analyses, U–Pb zircon dating results, and Rb–Sr, U–Pb and U-series isotopic analyses of gneissic drill core samples from the deep CRG-series characterization boreholes at the CRL site. The main rock types intersected in the boreholes include hornblende–biotite (±pyroxene) gneisses of granitic to granodioritic composition, leucocratic granitic gneisses with sparse mafic minerals, and garnet-bearing gneisses with variable amounts of biotite and/or hornblende. The trace element data for whole-rock samples plot in the fields of within-plate, syn-collision, and volcanic arc-type granites in discrimination diagrams used for the tectonic interpretation of granitic rocks.</p><p id=\"sp0010\">Zircons separated from biotite gneiss and metagranite samples yielded SHRIMP-RG U–Pb ages of 1472&nbsp;±&nbsp;14 (2<i>σ</i>) and 1045&nbsp;±&nbsp;6&nbsp;Ma, respectively, in very good agreement with widespread Early Mesoproterozoic plutonic ages and Ottawan orogeny ages in the Central Gneiss Belt. The Rb–Sr, U–Pb, and Pb–Pb whole-rock errorchron apparent ages of most of the CRL gneiss samples are consistent with zircon U–Pb age and do not indicate substantial large-scale preferential element mobility during superimposed metamorphic and water/rock interaction processes. This may confirm the integrity of the rock mass, which is a positive attribute for a potential nuclear waste repository. Most<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U activity ratios (AR) in whole rock samples are within errors of the secular equilibrium value of one, indicating that the rocks have not experienced any appreciable U loss or gain within the past 1&nbsp;Ma. However,<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U AR in fracture mineral samples collected down to borehole lengths of about 740&nbsp;m deviate from the secular equilibrium value and<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U model ages calculated for fracture mineral samples showing excess<span>&nbsp;</span><sup>234</sup>U range from 593 to 1415&nbsp;ka, thus providing evidence of fracture flow in the associated bedrock during the past 1.5&nbsp;Ma. Rare earth element patterns are variable in fracture-filling calcites and Fe oxides/hydroxides but are similar to those observed in associated whole-rock samples. The observed Ce anomalies are very small (<span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow></msub><mo is=&quot;true&quot;>/</mo><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2217;</mo></mrow></msubsup><mo is=&quot;true&quot;>&amp;#x2248;</mo><mn is=&quot;true&quot;>1</mn></mrow></math>\"><span class=\"MJX_Assistive_MathML\">CeN/CeN∗≈1</span></span>), do not vary with depth, and, therefore, do not contain evidence that the studied fracture minerals precipitated from oxidizing waters at the conceptual depth of a repository.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2013.06.004","usgsCitation":"Neymark, L., Peterman, Z., Moscati, R.J., and Thivierge, R.H., 2013, U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada: Applied Geochemistry, v. 36, p. 10-33, https://doi.org/10.1016/j.apgeochem.2013.06.004.","productDescription":"24 p.","startPage":"10","endPage":"33","ipdsId":"IP-038522","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Grenville Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e366","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":620,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell E.","email":"peterman@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":703698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":703699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thivierge, R. H.","contributorId":194312,"corporation":false,"usgs":false,"family":"Thivierge","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703700,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047763,"text":"sir20135091 - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites","interactions":[{"subject":{"id":70047763,"text":"sir20135091 - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites","indexId":"sir20135091","publicationYear":"2013","noYear":false,"title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites"},"predicate":"SUPERSEDED_BY","object":{"id":70116317,"text":"sir20105070K - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite","indexId":"sir20105070K","publicationYear":"2013","noYear":false,"chapter":"K","title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite"},"id":1}],"supersededBy":{"id":70116317,"text":"sir20105070K - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite","indexId":"sir20105070K","publicationYear":"2013","noYear":false,"title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite"},"lastModifiedDate":"2018-11-26T09:35:39","indexId":"sir20135091","displayToPublicDate":"2013-08-22T11:55:07","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5091","title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites","docAbstract":"This descriptive model for magmatic iron-titanium-oxide (Fe-Ti-oxide) deposits hosted by Proterozoic age massif-type anorthosite and related rock types presents their geological, mineralogical, geochemical, and geoenvironmental attributes. Although these Proterozoic rocks are found worldwide, the majority of known deposits are found within exposed rocks of the Grenville Province, stretching from southwestern United States through eastern Canada; its extension into Norway is termed the Rogaland Anorthosite Province. This type of Fe-Ti-oxide deposit dominated by ilmenite rarely contains more than 300 million tons of ore, with between 10- to 45-percent titanium dioxide (TiO<sub>2</sub>), 32- to 45-percent iron oxide (FeO), and less than 0.2-percent vanadium (V).  The origin of these typically discordant ore deposits remains as enigmatic as the magmatic evolution of their host rocks. The deposits clearly have a magmatic origin, hosted by an age-constrained unique suite of rocks that likely are the consequence of a particular combination of tectonic circumstances, rather than any a priori temporal control. Principal ore minerals are ilmenite and hemo-ilmenite (ilmenite with extensive hematite exsolution lamellae); occurrences of titanomagnetite, magnetite, and apatite that are related to this deposit type are currently of less economic importance. Ore-mineral paragenesis is somewhat obscured by complicated solid solution and oxidation behavior within the Fe-Ti-oxide system. Anorthosite suites hosting these deposits require an extensive history of voluminous plagioclase crystallization to develop plagioclase-melt diapirs with entrained Fe-Ti-rich melt rising from the base of the lithosphere to mid- and upper-crustal levels. Timing and style of oxide mineralization are related to magmatic and dynamic evolution of these diapiric systems and to development and movement of oxide cumulates and related melts.  Active mines have developed large open pits with extensive waste-rock piles, but because of the nature of the ore and waste rock, the major environmental impacts documented at the mine sites are reported to be waste disposal issues and somewhat degraded water quality.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135091","usgsCitation":"Woodruff, L.G., Nicholson, S.W., and Fey, D.L., 2013, A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites: U.S. Geological Survey Scientific Investigations Report 2013-5091, vii, 47 p., https://doi.org/10.3133/sir20135091.","productDescription":"vii, 47 p.","numberOfPages":"58","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":276898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135091.gif"},{"id":276897,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5091/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521724cfe4b043bae8d2e59d","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":482919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":482918,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047726,"text":"ds742 - 2013 - Groundwater-quality data in the Santa Barbara study unit, 2011: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2026-05-19T13:22:12.177843","indexId":"ds742","displayToPublicDate":"2013-08-20T14:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"742","subseriesTitle":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program","title":"Groundwater-quality data in the Santa Barbara study unit, 2011: Results from the California GAMA Program","docAbstract":"Groundwater quality in the 48-square-mile Santa Barbara study unit was investigated by the U.S. Geological Survey (USGS) from January to February 2011, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program’s Priority Basin Project (PBP). The GAMA-PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The Santa Barbara study unit was the thirty-fourth study unit to be sampled as part of the GAMA-PBP.\n\nThe GAMA Santa Barbara study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer system, and to facilitate statistically consistent comparisons of untreated-groundwater quality throughout California. The primary aquifer system is defined as those parts of the aquifers corresponding to the perforation intervals of wells listed in the California Department of Public Health (CDPH) database for the Santa Barbara study unit. Groundwater quality in the primary aquifer system may differ from the quality in the shallower or deeper water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination.\n\nIn the Santa Barbara study unit located in Santa Barbara and Ventura Counties, groundwater samples were collected from 24 wells. Eighteen of the wells were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the study unit (grid wells), and six wells were selected to aid in evaluation of water-quality issues (understanding wells).\n\nThe groundwater samples were analyzed for organic constituents (volatile organic compounds [VOCs], pesticides and pesticide degradates, and pharmaceutical compounds); constituents of special interest (perchlorate and N-nitrosodimethylamine [NDMA]); naturally occurring inorganic constituents (trace elements, nutrients, major and minor ions, silica, total dissolved solids [TDS], alkalinity, and arsenic, chromium, and iron species); and radioactive constituents (radon-222 and gross alpha and gross beta radioactivity). Naturally occurring isotopes (stable isotopes of hydrogen and oxygen in water, stables isotopes of inorganic carbon and boron dissolved in water, isotope ratios of dissolved strontium, tritium activities, and carbon-14 abundances) and dissolved noble gases also were measured to help identify the sources and ages of the sampled groundwater. In total, 281 constituents and water-quality indicators were measured.\n\nThree types of quality-control samples (blanks, replicates, and matrix spikes) were collected at up to 12 percent of the wells in the Santa Barbara study unit, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. Blanks rarely contained detectable concentrations of any constituent, suggesting that contamination from sample collection procedures was not a significant source of bias in the data for the groundwater samples. Replicate samples generally were within the limits of acceptable analytical reproducibility. Matrix-spike recoveries were within the acceptable range (70 to 130 percent) for approximately 82 percent of the compounds.\n\nThis study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, untreated groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is served to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH and to non-regulatory benchmarks established for aesthetic concerns by CDPH. Comparisons between data collected for this study and benchmarks for drinking water are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks. All organic constituents and most inorganic constituents that were detected in groundwater samples from the 18 grid wells in the Santa Barbara study unit were detected at concentrations less than drinking-water benchmarks.\n\nOf the 220 organic and special-interest constituents sampled for at the 18 grid wells, 13 were detected in groundwater samples; concentrations of all detected constituents were less than regulatory and non-regulatory health-based benchmarks. In total, VOCs were detected in 61 percent of the 18 grid wells sampled, pesticides and pesticide degradates were detected in 11 percent, and perchlorate was detected in 67 percent. Polar pesticides and their degradates, pharmaceutical compounds, and NDMA were not detected in any of the grid wells sampled in the Santa Barbara study unit.\n\nEighteen grid wells were sampled for trace elements, major and minor ions, nutrients, and radioactive constituents; most detected concentrations were less than health-based benchmarks. Exceptions are one detection of boron greater than the CDPH notification level (NL-CA) of 1,000 micrograms per liter (μg/L) and one detection of fluoride greater than the CDPH maximum contaminant level (MCL-CA) of 2 milligrams per liter (mg/L).\n\nResults for constituents with non-regulatory benchmarks set for aesthetic concerns from the grid wells showed that iron concentrations greater than the CDPH secondary maximum contaminant level (SMCL-CA) of 300 μg/L were detected in three grid wells. Manganese concentrations greater than the SMCL-CA of 50 μg/L were detected in seven grid wells. Chloride was detected at a concentration greater than the SMCL-CA recommended benchmark of 250 mg/L in four grid wells. Sulfate concentrations greater than the SMCL-CA recommended benchmark of 250 mg/L were measured in eight grid wells, and the concentration in one of these wells was also greater than the SMCL-CA upper benchmark of 500 mg/L. TDS concentrations greater than the SMCL-CA recommended benchmark of 500 mg/L were measured in 17 grid wells, and concentrations in six of these wells were also greater than the SMCL-CA upper benchmark of 1,000 mg/L.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds742","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T., Kulongoski, J., and Belitz, K., 2013, Groundwater-quality data in the Santa Barbara study unit, 2011: results from the California GAMA Program: U.S. Geological Survey Data Series 742, ix, 72 p., https://doi.org/10.3133/ds742.","productDescription":"ix, 72 p.","numberOfPages":"86","temporalStart":"2011-01-01","temporalEnd":"2011-02-28","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504489,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98795.htm","linkFileType":{"id":5,"text":"html"}},{"id":276819,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds742.PNG"},{"id":276818,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/742/pdf/ds742.pdf"},{"id":276817,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/742/"}],"country":"United States","state":"California","county":"Santa Barbara County, Ventura County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.916667,34.333333 ], [ -119.916667,34.5 ], [ -119.416667,34.5 ], [ -119.416667,34.333333 ], [ -119.916667,34.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521481e1e4b06d85e08fb4c3","contributors":{"authors":[{"text":"Davis, Tracy A. 0000-0003-0253-6661","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":59339,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy A.","affiliations":[],"preferred":false,"id":482830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":482831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":482829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047727,"text":"ds747 - 2013 - Groundwater-quality data in the Bear Valley and Selected Hard Rock Areas study unit, 2010: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2026-05-18T16:47:20.056927","indexId":"ds747","displayToPublicDate":"2013-08-20T14:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"747","subseriesTitle":"California Groundwater Ambient Monitoring and Assessment (GAMA) Program","title":"Groundwater-quality data in the Bear Valley and Selected Hard Rock Areas study unit, 2010: Results from the California GAMA Program","docAbstract":"Groundwater quality in the 112-square-mile Bear Valley and Selected Hard Rock Areas (BEAR) study unit was investigated by the U.S. Geological Survey (USGS) from April to August 2010, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program’s Priority Basin Project (PBP). The GAMA-PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The BEAR study unit was the thirty-first study unit to be sampled as part of the GAMA-PBP. The GAMA Bear Valley and Selected Hard Rock Areas study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer system and to facilitate statistically consistent comparisons of untreated groundwater quality throughout California. The primary aquifer system is defined as the zones corresponding to the perforation intervals of wells listed in the California Department of Public Health (CDPH) database for the BEAR study unit. Groundwater quality in the primary aquifer system may differ from the quality in the shallow or deep water-bearing zones; shallow groundwater may be more vulnerable to surficial contamination. In the BEAR study unit, groundwater samples were collected from two study areas (Bear Valley and Selected Hard Rock Areas) in San Bernardino County. Of the 38 sampling sites, 27 were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the primary aquifer system in the study unit (grid sites), and the remaining 11 sites were selected to aid in the understanding of the potential groundwater-quality issues associated with septic tank use and with ski areas in the study unit (understanding sites). The groundwater samples were analyzed for organic constituents (volatile organic compounds [VOCs], pesticides and pesticide degradates, pharmaceutical compounds, and wastewater indicator compounds [WICs]), constituents of special interest (perchlorate, N-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), and inorganic constituents (trace elements, nutrients, dissolved organic carbon [DOC], major and minor ions, silica, total dissolved solids [TDS], alkalinity, and arsenic and iron species), and uranium and other radioactive constituents (radon-222 and activities of tritium and carbon-14). Isotopic tracers (of hydrogen and oxygen in water, of nitrogen and oxygen in dissolved nitrate, of dissolved boron, isotopic ratios of strontium in water, and of carbon in dissolved inorganic carbon) and dissolved noble gases (argon, helium-4, krypton, neon, and xenon) were measured to help identify the sources and ages of sampled groundwater. In total, groundwater samples were analyzed for 289 unique constituents and 8 water-quality indicators in the BEAR study unit. Quality-control samples (blanks, replicate pairs, or matrix spikes) were collected at 13 percent of the sites in the BEAR study unit, and the results for these samples were used to evaluate the quality of the data from the groundwater samples. Blank samples rarely contained detectable concentrations of any constituent, indicating that contamination from sample collection or analysis was not a significant source of bias in the data for the groundwater samples. Replicate pair samples all were within acceptable limits of variability. Matrix-spike sample recoveries were within the acceptable range (70 to 130 percent) for approximately 84 percent of the compounds. This study did not evaluate the quality of water delivered to consumers. After withdrawal, groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is delivered to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory health-based benchmarks established by the U.S. Environmental Protection Agency (USEPA) and CDPH, and to non-health-based benchmarks established for aesthetic concerns by CDPH. Comparisons between data collected for this study and benchmarks for drinking water are for illustrative purposes only and are not indicative of compliance or non-compliance with those benchmarks. All concentrations of organic and special-interest constituents from grid sites sampled in the BEAR study unit were less than health-based benchmarks. In total, VOCs were detected in 17 of the 27 grid sites sampled (approximately 63 percent), pesticides and pesticide degradates were detected in 4 grid sites (approximately 15 percent), and perchlorate was detected in 21 grid sites (approximately 78 percent). Inorganic constituents (trace elements, major and minor ions, nutrients, and uranium and other radioactive constituents) were sampled for at 27 grid sites; most concentrations were less than health-based benchmarks. Exceptions include one detection of arsenic greater than the USEPA maximum contaminant level (MCL-US) of 10 micrograms per liter (μg/L), three detections of uranium greater than the MCL-US of 30 μg/L, nine detections of radon-222 greater than the proposed MCL-US of 4,000 picocuries per liter (pCi/L), and one detection of fluoride greater than the CDPH maximum contaminant level (MCL-CA) of 2 milligrams per liter. Concentrations of inorganic constituents with non-health-based benchmarks (iron, manganese, chloride, and TDS) were less than the CDPH secondary maximum contaminant level (SMCL-CA) in most grid sites. Exceptions include two detections of iron greater than the SMCL-CA of 300 μg/L and one detection of manganese greater than the SMCL-CA of 50 μg/L.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds747","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Mathany, T., and Belitz, K., 2013, Groundwater-quality data in the Bear Valley and Selected Hard Rock Areas study unit, 2010: Results from the California GAMA Program: U.S. Geological Survey Data Series 747, x, 86 p., https://doi.org/10.3133/ds747.","productDescription":"x, 86 p.","numberOfPages":"100","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504492,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98794.htm","linkFileType":{"id":5,"text":"html"}},{"id":276822,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds747.jpg"},{"id":276820,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/747/pdf/ds747.pdf"},{"id":276821,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/747/"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.26738,33.898917 ], [ -117.26738,34.530318 ], [ -116.368561,34.530318 ], [ -116.368561,33.898917 ], [ -117.26738,33.898917 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521481e0e4b06d85e08fb4bf","contributors":{"authors":[{"text":"Mathany, Timothy M. 0000-0002-4747-5113","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":99949,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy M.","affiliations":[],"preferred":false,"id":482833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":482832,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047618,"text":"70047618 - 2013 - Nest guarding by female Agassiz's desert tortoise (Gopherus agassizii) at a wind-energy facility near Palm Springs, California","interactions":[],"lastModifiedDate":"2013-08-15T08:29:15","indexId":"70047618","displayToPublicDate":"2013-08-15T08:14:49","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Nest guarding by female Agassiz's desert tortoise (Gopherus agassizii) at a wind-energy facility near Palm Springs, California","docAbstract":"We observed behavior consistent with nest-guarding in Agassiz's desert tortoise (Gopherus agassizii) at two nests in a large wind-energy-generation facility near Palm Springs, California, locally known as the Mesa Wind Farm. As researchers approached the nests, female desert tortoises moved to the entrance of their burrows and positioned themselves sideways, directly over their nests. One female stretched her limbs outward and wedged herself into the burrow (her plastron directly above the nest). Guarding of nests is rarely observed in Agassiz's desert tortoise but can occur as a result of attempted predation on eggs by Gila monsters (Heloderma suspectum) or in direct response to the perceived threat posed by researchers. This is the first report of nest-guarding for G. agassizii in the Sonoran Desert ecosystem of California.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Southwestern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-58.2.254","usgsCitation":"Agha, M., Lovich, J.E., Ennen, J., and Wilcox, E., 2013, Nest guarding by female Agassiz's desert tortoise (Gopherus agassizii) at a wind-energy facility near Palm Springs, California: Southwestern Naturalist, v. 58, no. 2, p. 254-257, https://doi.org/10.1894/0038-4909-58.2.254.","productDescription":"4 p.","startPage":"254","endPage":"257","ipdsId":"IP-033411","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":276622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276620,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1894/0038-4909-58.2.254"}],"country":"United States","state":"California","city":"Palm Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.684848,33.611126 ], [ -116.684848,33.932139 ], [ -116.443046,33.932139 ], [ -116.443046,33.611126 ], [ -116.684848,33.611126 ] ] ] } } ] }","volume":"58","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520dea58e4b08494c3cb05af","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":482545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":482544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":482546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilcox, Ethan","contributorId":103957,"corporation":false,"usgs":true,"family":"Wilcox","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":482547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047543,"text":"70047543 - 2013 - Indirect cannibalism by crèche-aged American White Pelican (<i>Pelecanus erythrorhynchos</i>) chicks","interactions":[],"lastModifiedDate":"2020-12-18T20:11:00.960862","indexId":"70047543","displayToPublicDate":"2013-08-09T14:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1163,"text":"Canadian Field-Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Indirect cannibalism by crèche-aged American White Pelican (<i>Pelecanus erythrorhynchos</i>) chicks","docAbstract":"At nesting colonies of American White Pelicans (Pelecanus erythrorhynchos), many chicks die from siblicide, severe weather, and disease; this results in carcasses available for scavenging by conspecifics (i.e., indirect cannibalism). Indirect cannibalism has not been reported previously for this species. We describe five cases of crèche-aged American White Pelican chicks consuming or attempting to consume dead younger chicks at two nesting colonies in the northern plains of North America. Cannibalism in the American White Pelican appears to be rare and likely plays no role in the species’ population ecology or dynamics; however, it might be an important survival strategy of individual chicks when food resources are limited.","language":"English","publisher":"Canadian Field-Naturalists' Club","doi":"10.22621/cfn.v127i1.1413","usgsCitation":"Bartos, A.J., Sovada, M.A., Igl, L.D., and Pietz, P., 2013, Indirect cannibalism by crèche-aged American White Pelican (<i>Pelecanus erythrorhynchos</i>) chicks: Canadian Field-Naturalist, v. 127, no. 1, p. 72-75, https://doi.org/10.22621/cfn.v127i1.1413.","productDescription":"4 p.","startPage":"72","endPage":"75","ipdsId":"IP-036254","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22621/cfn.v127i1.1413","text":"Publisher Index Page"},{"id":381519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota;South Dakota","otherGeospatial":"Bitter Lake;Chase Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.4817,45.2468 ], [ -99.4817,47.0361 ], [ -97.2656,47.0361 ], [ -97.2656,45.2468 ], [ -99.4817,45.2468 ] ] ] } } ] }","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-15","publicationStatus":"PW","scienceBaseUri":"52060180e4b08a2ec8694b04","contributors":{"authors":[{"text":"Bartos, Alisa J. abartos@usgs.gov","contributorId":5177,"corporation":false,"usgs":true,"family":"Bartos","given":"Alisa","email":"abartos@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sovada, Marsha A. msovada@usgs.gov","contributorId":2601,"corporation":false,"usgs":true,"family":"Sovada","given":"Marsha","email":"msovada@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":482318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pietz, Pamela J. ppietz@usgs.gov","contributorId":2382,"corporation":false,"usgs":true,"family":"Pietz","given":"Pamela J.","email":"ppietz@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":482317,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047383,"text":"ofr20131042 - 2013 - Sediment geochemistry of Corte Madera Marsh, San Francisco Bay, California: have local inputs changed, 1830-2010?","interactions":[],"lastModifiedDate":"2020-06-05T14:40:28.392522","indexId":"ofr20131042","displayToPublicDate":"2013-08-02T13:28:00","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":"2013-1042","title":"Sediment geochemistry of Corte Madera Marsh, San Francisco Bay, California: have local inputs changed, 1830-2010?","docAbstract":"Large perturbations since the mid-1800s to the supply and source of sediment entering San Francisco Bay have disturbed natural processes for more than 150 years. Only recently have sediment inputs through the Sacramento-San Joaquin Delta (the Delta) decreased to what might be considered pre-disturbance levels. Declining sediment inputs to San Francisco Bay raise concern about continued tidal marsh accretion, particularly if sea level rise accelerates in the future. The aim of this study is to explore whether the relative amount of local-watershed sediment accumulating in a tidal marsh has changed as sediment supply from the Sacramento-San Joaquin Rivers has decreased. To address this question, sediment geochemical indicators, or signatures, in the fine fraction (silt and clay) of Sacramento River, San Joaquin River, San Francisco Bay, and Corte Madera Creek sediment were identified and applied in sediment recovered from Corte Madera Marsh, one of the few remaining natural marshes in San Francisco Bay. Total major, minor, trace, and rare earth element (REE) contents of fine sediment were determined by inductively coupled plasma mass and atomic emission spectroscopy. Fine sediment from potential source areas had the following geochemical signatures: Sacramento River sediment downstream of the confluence of the American River was characterized by enrichments in chromium, zirconium, and heavy REE; San Joaquin River sediment at Vernalis and Lathrop was characterized by enrichments in thorium and total REE content; Corte Madera Creek sediment had elevated nickel contents; and the composition of San Francisco Bay mud proximal to Corte Madera Marsh was intermediate between these sources. Most sediment geochemical signatures were relatively invariant for more than 150 years, suggesting that the composition of fine sediment in Corte Madera Marsh is not very sensitive to changes in the magnitude, timing, or source of sediment entering San Francisco Bay through the Delta. Nor does there appear to be a ubiquitous increase in the proportion of fine sediment from Corte Madera watershed accumulating in the marsh during the last 20 years when sediment inflows through the Delta have decreased to pre-disturbance levels. We conclude that a large, well-mixed reservoir, such as the transportable fine sediment pool in San Francisco Bay, is the primary source of sediment to Corte Madera Marsh, and this source buffers the marsh against changes in sediment supply from the Delta and local watersheds. This study also found that Corte Madera Marsh sediment between about 10-30 centimeters depth is highly contaminated with lead, likely a legacy of lead smelter operations near Carquinez Strait and leaded gasoline use.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131042","usgsCitation":"Takesue, R.K., and Jaffe, B.E., 2013, Sediment geochemistry of Corte Madera Marsh, San Francisco Bay, California: have local inputs changed, 1830-2010?: U.S. Geological Survey Open-File Report 2013-1042, v, 23 p., https://doi.org/10.3133/ofr20131042.","productDescription":"v, 23 p.","numberOfPages":"31","onlineOnly":"Y","temporalStart":"1829-12-30","temporalEnd":"2010-01-01","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":275959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131042.jpg"},{"id":275958,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1042/of2013-1042.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5,37.0 ], [ -123.5,38.5 ], [ -121.0,38.5 ], [ -121.0,37.0 ], [ -123.5,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fcc6d6e4b0296e5a4b5bf4","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":481903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":481902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048866,"text":"70048866 - 2013 - Mapping risk of avian influenza transmission at the interface of domestic poultry and wild birds","interactions":[],"lastModifiedDate":"2017-08-23T09:25:02","indexId":"70048866","displayToPublicDate":"2013-08-01T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1704,"text":"Frontiers in Public Health","onlineIssn":"2296-2565","active":true,"publicationSubtype":{"id":10}},"title":"Mapping risk of avian influenza transmission at the interface of domestic poultry and wild birds","docAbstract":"Emergence of avian influenza viruses with high lethality to humans, such as the currently circulating highly pathogenic A(H5N1) (emerged in 1996) and A(H7N9) cause serious concern for the global economic and public health sectors. Understanding the spatial and temporal interface between wild and domestic populations, from which these viruses emerge, is fundamental to taking action. This information, however, is rarely considered in influenza risk models, partly due to a lack of data. We aim to identify areas of high transmission risk between domestic poultry and wild waterfowl in China, the epicenter of both viruses. Two levels of models were developed: one that predicts hotspots of novel virus emergence between domestic and wild birds, and one that incorporates H5N1 risk factors, for which input data exists. Models were produced at 1 and 30 km spatial resolution, and two temporal seasons. Patterns of risk varied between seasons with higher risk in the northeast, central-east, and western regions of China during spring and summer, and in the central and southeastern regions during winter. Monte-Carlo uncertainty analyses indicated varying levels of model confidence, with lowest errors in the densely populated regions of eastern and southern China. Applications and limitations of the models are discussed within.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Frontiers in Public Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Frontiers Media","doi":"10.3389/fpubh.2013.00028","usgsCitation":"Prosser, D.J., Hungerford, L.L., Erwin, R.M., Ottinger, M.A., Takekawa, J.Y., and Ellis, E.C., 2013, Mapping risk of avian influenza transmission at the interface of domestic poultry and wild birds: Frontiers in Public Health, v. 1, no. 28, 11 p., https://doi.org/10.3389/fpubh.2013.00028.","productDescription":"11 p.","numberOfPages":"11","ipdsId":"IP-049511","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473623,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fpubh.2013.00028","text":"Publisher Index Page"},{"id":438783,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P163QI","text":"USGS data release","linkHelpText":"Spatial models indicating avian influenza transmission risk at the interface of domestic poultry and wild birds in China"},{"id":278983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278982,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3389/fpubh.2013.00028"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.15 ], [ 73.5,53.56 ], [ 134.77,53.56 ], [ 134.77,18.15 ], [ 73.5,18.15 ] ] ] } } ] }","volume":"1","issue":"28","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e586ce4b02d2057dd95ea","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hungerford, Laura L.","contributorId":14291,"corporation":false,"usgs":true,"family":"Hungerford","given":"Laura","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erwin, R. Michael 0000-0003-2108-9502","orcid":"https://orcid.org/0000-0003-2108-9502","contributorId":57125,"corporation":false,"usgs":true,"family":"Erwin","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":485773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ottinger, Mary Ann","contributorId":26422,"corporation":false,"usgs":false,"family":"Ottinger","given":"Mary","email":"","middleInitial":"Ann","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":485772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":485769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellis, Erle C.","contributorId":67400,"corporation":false,"usgs":true,"family":"Ellis","given":"Erle","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148415,"text":"70148415 - 2013 - Occurrence and mobility of mercury in groundwater: Chapter 5","interactions":[],"lastModifiedDate":"2016-04-12T19:06:45","indexId":"70148415","displayToPublicDate":"2013-07-27T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Occurrence and mobility of mercury in groundwater: Chapter 5","docAbstract":"<p>1. Introduction</p>\n<div id=\"Title2\" class=\"section\">\n<p class=\"section-title\">1.1. FORMS, TOXICITY, AND HEALTH EFFECTS</p>\n<p id=\"P1\">Mercury (Hg) has long been identified as an element that is injurious, even lethal, to living organisms. Exposure to its inorganic form, mainly from elemental Hg (Hg(0)) vapor (<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B53\">Fitzgerald &amp; Lamborg, 2007</a>) can cause damage to respiratory, neural, and renal systems (<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B76\">Hutton, 1987</a>;&nbsp;<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B151\">USEPA, 2012</a>;&nbsp;<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B159\">WHO, 2012</a>). The organic form, methylmercury (CH<sub>3</sub>Hg<sup>+</sup>; MeHg), is substantially more toxic than the inorganic form (<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B53\">Fitzgerald &amp; Lamborg, 2007</a>). Methylmercury attacks the nervous system and exposure can prove lethal, as demonstrated by well-known incidents such as those in 1956 in Minimata, Japan (<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B70\">Harada, 1995</a>), and 1971 in rural Iraq (<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B8\">Bakir et al., 1973</a>), where, in the former, industrial release of MeHg into coastal waters severely tainted the fish caught and eaten by the local population, and in the latter, grain seed treated with an organic mercurial fungicide was not planted, but eaten in bread instead. Resultant deaths are not known with certainty but have been estimated at about 100 and 500, respectively (<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B76\">Hutton, 1987</a>). Absent such lethal accidents, human exposure to MeHg comes mainly from ingestion of piscivorous fish in which MeHg has accumulated, with potential fetal damage ascribed to high fish diets during their mothers&rsquo; pregnancies (<a class=\"xref-link\" href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#B147\">USEPA, 2001</a>). Lesser human exposure occurs through ingestion of drinking water (USEPA, 2001), where concentrations of total Hg (THg; inorganic plus organic forms) typically are in the low nanograms-per-liter range<a href=\"http://www.intechopen.com/books/current-perspectives-in-contaminant-hydrology-and-water-resources-sustainability/occurrence-and-mobility-of-mercury-in-groundwater#idp6214592\"><span class=\"generated\">[1] -&nbsp;</span></a>, particularly from many groundwater sources, and concentrations at the microgram-per-liter level are rare.</p>\n</div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","language":"English","publisher":"InTech","doi":"10.5772/55487","usgsCitation":"Barringer, J., Szabo, Z., and Reilly, P.A., 2013, Occurrence and mobility of mercury in groundwater: Chapter 5, chap. <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 117-149, https://doi.org/10.5772/55487.","productDescription":"33 p.","startPage":"117","endPage":"149","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041831","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":320015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570e1c35e4b0ef3b7ca24c3c","contributors":{"editors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626591,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Barringer, Julia L.","contributorId":59419,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia L.","affiliations":[],"preferred":false,"id":626590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":138827,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548076,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047260,"text":"ofr20131129 - 2013 - Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States","interactions":[],"lastModifiedDate":"2013-07-27T11:15:32","indexId":"ofr20131129","displayToPublicDate":"2013-07-27T11:08:00","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":"2013-1129","title":"Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States","docAbstract":"Biomonitoring programs based on benthic macroinvertebrates are well-established worldwide. Their value, however, depends on the appropriateness of the analytical techniques used. All United States State, benthic macroinvertebrate biomonitoring programs were surveyed regarding the purposes of their programs, quality-assurance and quality-control procedures used, habitat and water-chemistry data collected, treatment of macroinvertebrate data prior to analysis, statistical methods used, and data-storage considerations. State regulatory mandates (59 percent of programs), biotic index development (17 percent), and Federal requirements (15 percent) were the most frequently reported purposes of State programs, with the specific tasks of satisfying the requirements for 305b/303d reports (89 percent), establishment and monitoring of total maximum daily loads, and developing biocriteria being the purposes most often mentioned. Most states establish reference sites (81 percent), but classify them using State-specific methods. The most often used technique for determining the appropriateness of a reference site was Best Professional Judgment (86 percent of these states). Macroinvertebrate samples are almost always collected by using a D-frame net, and duplicate samples are collected from approximately 10 percent of sites for quality assurance and quality control purposes. Most programs have macroinvertebrate samples processed by contractors (53 percent) and have identifications confirmed by a second taxonomist (85 percent). All States collect habitat data, with most using the Rapid Bioassessment Protocol visual-assessment approach, which requires ~1 h/site. Dissolved oxygen, pH, and conductivity are measured in more than 90 percent of programs. Wide variation exists in which taxa are excluded from analyses and the level of taxonomic resolution used. Species traits, such as functional feeding groups, are commonly used (96 percent), as are tolerance values for organic pollution (87 percent). Less often used are tolerance values for metals (28 percent). Benthic data are infrequently modified (34 percent) prior to analysis. Fixed-count subsampling is used widely (83 percent), with the number of organisms sorted ranging from 100 to 600 specimens. Most programs include a step during sample processing to acquire rare taxa (79 percent). Programs calculate from 2 to more than100 different metrics (mean 20), and most formulate a multimetric index (87 percent). Eleven of the 112 metrics reported represent 50 percent of all metrics considered to be useful, and most of these are based on richness or percent composition. Biotic indices and tolerance metrics are most oftenused in the eastern U.S., and functional and habitat-type metrics are most often used in the western U.S. Sixty-nine percent of programs analyze their data in-house, typically performing correlations and regressions, and few use any form of data transformation (34 percent). Fifty-one percent of the programs use multivariate analyses, typically non-metric multi-dimensional scaling. All programs have electronic data storage. Most programs use the Integrated Taxonomic Information System (75 percent) for nomenclature and to update historical data (78 percent). State procedures represent a diversity of biomonitoring approaches which likely compromises comparability among programs. A national-state consensus is needed for: (1) developing methods for the identification of reference conditions and reference sites, (2) standardization in determining and reporting species richness, (3) testing and documenting both the theoretical and mechanistic basis of often-used metrics, (4) development of properly replicated point-source study designs, and (5) curation of benthic macroinvertebrate data, including reference and voucher collections, for successful evaluation of future environmental changes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131129","usgsCitation":"Carter, J.L., and Resh, V.H., 2013, Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States: U.S. Geological Survey Open-File Report 2013-1129, vi, 50 p., https://doi.org/10.3133/ofr20131129.","productDescription":"vi, 50 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":275483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131129.png"},{"id":275481,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1129/"},{"id":275482,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1129/pdf/ofr20131129.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f4ddd9e4b0838938b2802f","contributors":{"authors":[{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":481550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Resh, Vincent H.","contributorId":12169,"corporation":false,"usgs":true,"family":"Resh","given":"Vincent","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047250,"text":"70047250 - 2013 - Strongly gliding harmonic tremor during the 2009 eruption of  Redoubt Volcano","interactions":[],"lastModifiedDate":"2013-07-26T15:04:12","indexId":"70047250","displayToPublicDate":"2013-07-26T14:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Strongly gliding harmonic tremor during the 2009 eruption of  Redoubt Volcano","docAbstract":"During the 2009 eruption of Redoubt Volcano, Alaska, gliding harmonic tremor occurred prominently before six nearly consecutive explosions during the second half of the eruptive sequence. The fundamental frequency repeatedly glided upward from &lt; 1 Hz to as high as 30 Hz in less than 10 min, followed by a relative seismic quiescence of 10 to 60 s immediately prior to explosion. High frequency (5 to 20 Hz) gliding returned during the extrusive phase, and lasted for 20 min to 3 h at a time. Although harmonic tremor is not uncommon at volcanoes, tremor at such high frequencies is a rare observation. These frequencies approach or exceed the plausible upper limits of many models that have been suggested for volcanic tremor. We also analyzed the behavior of a swarm of repeating earthquakes that immediately preceded the first instance of pre-explosion gliding harmonic tremor. We find that these earthquakes share several traits with upward gliding harmonic tremor, and favor the explanation that the gliding harmonic tremor at Redoubt Volcano is created by the superposition of increasingly frequent and regular, repeating stick–slip earthquakes through the Dirac comb effect.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.01.001","usgsCitation":"Hotovec, A.J., Prejean, S.G., Vidale, J.E., and Gomberg, J.S., 2013, Strongly gliding harmonic tremor during the 2009 eruption of  Redoubt Volcano: Journal of Volcanology and Geothermal Research, v. 259, p. 89-99, https://doi.org/10.1016/j.jvolgeores.2012.01.001.","productDescription":"11 p.","startPage":"89","endPage":"99","numberOfPages":"11","ipdsId":"IP-038591","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":275471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275470,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2012.01.001"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -153.0,60.416667 ], [ -153.0,60.616667 ], [ -152.333333,60.616667 ], [ -152.333333,60.416667 ], [ -153.0,60.416667 ] ] ] } } ] }","volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f38c5ee4b0a32220222f3b","contributors":{"authors":[{"text":"Hotovec, Alicia J.","contributorId":88039,"corporation":false,"usgs":true,"family":"Hotovec","given":"Alicia","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":481517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vidale, John E.","contributorId":48850,"corporation":false,"usgs":true,"family":"Vidale","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":481516,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118079,"text":"70118079 - 2013 - Environmental, depositional and cultural changes in the upper Pleistocene and early Holocene; the Cinglera del Capello Sequence (Capellades, Spain)","interactions":[],"lastModifiedDate":"2017-10-25T12:55:46","indexId":"70118079","displayToPublicDate":"2013-07-25T13:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3215,"text":"Quaternaire","active":true,"publicationSubtype":{"id":10}},"title":"Environmental, depositional and cultural changes in the upper Pleistocene and early Holocene; the Cinglera del Capello Sequence (Capellades, Spain)","docAbstract":"The correlation between environmental and cultural changes is one of the primary archeological and paleoanthropological research topics. Analysis of ice and marine cores has yielded a high-resolution record of millennial-scale changes during the Late Pleistocene and Holocene eras. However, cultural changes are documented in low-resolution continental deposits; thus, their correlation with the millennial-scale climatic sequence is often difficult. In this paper, we present a rare occurrence in which a thick archeological sequence is associated with a high-resolution environmental record. The Cinglera del Capello is a tufa-draped cliff located in the northeastern Iberian Peninsula, 50 km west of Barcelona. This cliff harbors several rock-shelters with Late Pleistocene and Early Holocene deposits. Together, the deposits of four rock-shelters span from 7000 to 70,000 years ago and provide a high-resolution record of the environmental and human dynamics during this timespan. This record allows the correlation of the cultural and environmental changes. The multiproxy approach to the Cinglera evidence indicates that the main cultural stages of the Late Pleistocene and Early Holocene (Middle Paleolithic, Upper Paleolithic and Mesolithic) are associated with significant changes in the environmental and depositional contexts.","language":"English","publisher":"French Quaternary Association","doi":"10.4000/quaternaire.6481","usgsCitation":"Vaquero, M., Allue, E., Bischoff, J.L., Burjachs, F., and Vallverdu, J., 2013, Environmental, depositional and cultural changes in the upper Pleistocene and early Holocene; the Cinglera del Capello Sequence (Capellades, Spain): Quaternaire, v. 24, no. 1, p. 49-64, https://doi.org/10.4000/quaternaire.6481.","productDescription":"16 p.","startPage":"49","endPage":"64","ipdsId":"IP-029968","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488286,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://journals.openedition.org/quaternaire/6481","text":"External Repository"},{"id":291018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","city":"Barcelona","otherGeospatial":"Capellades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 1.6795652,41.5254262 ], [ 1.6795652,41.536725 ], [ 1.691055,41.536725 ], [ 1.691055,41.5254262 ], [ 1.6795652,41.5254262 ] ] ] } } ] }","volume":"24","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f29ae4b0bc0bec0a0496","contributors":{"authors":[{"text":"Vaquero, Manuel","contributorId":25088,"corporation":false,"usgs":true,"family":"Vaquero","given":"Manuel","affiliations":[],"preferred":false,"id":496240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allue, Ethel","contributorId":107623,"corporation":false,"usgs":true,"family":"Allue","given":"Ethel","email":"","affiliations":[],"preferred":false,"id":496241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bischoff, James L. jbischoff@usgs.gov","contributorId":1389,"corporation":false,"usgs":true,"family":"Bischoff","given":"James","email":"jbischoff@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":496238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burjachs, Francesc","contributorId":21473,"corporation":false,"usgs":true,"family":"Burjachs","given":"Francesc","email":"","affiliations":[],"preferred":false,"id":496239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vallverdu, Josep","contributorId":28177,"corporation":false,"usgs":true,"family":"Vallverdu","given":"Josep","email":"","affiliations":[],"preferred":false,"id":496242,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042047,"text":"70042047 - 2013 - Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA","interactions":[],"lastModifiedDate":"2013-07-24T09:17:51","indexId":"70042047","displayToPublicDate":"2013-07-24T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2933,"text":"Oecologia Australis","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA","docAbstract":"The continued growth of off-highway vehicle (OHV) activities – demonstrated by the dramatic increase in OHV sales, number of users, and areas experiencing OHV use – has elevated concerns about their ecological effects, the impacts on wildlife, and the sustainability of OHV use on secondary and tertiary road networks. Conflicts between visitors and wildlife are raising concerns about system resiliency and sustainable management. In order to quantify the spatial and temporal impacts of OHV use it is imperative to know about the timing and patterns of vehicle use. This study tested and used multiple vehicle-counter types to study vehicular OHV use patterns and volume throughout a mountainous road network in western Colorado. OHV counts were analyzed by time of day, day of week, season, and year. While daily use peaked within a two to three hour range for all sites, the overall volume of use varied among sites on an annual basis. The data also showed that there are at least two distinct patterns of OHV use: one dominated by a majority of use on weekends, and the other with continuous use throughout the week. This project provided important, but rarely captured, metrics about patterns of OHV use in a remote, mountainous region of Colorado. The techniques described here can provide land managers with a quantitative evaluation of OHV use across the landscape, an essential foundation for travel management planning. They also provide researchers with robust tools to further investigate the impacts of OHV use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia Australis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oecologia Australis","doi":"10.4257/oeco.2013.1701.09","usgsCitation":"Ouren, D.S., and Coffin, A.W., 2013, Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA: Oecologia Australis, v. 17, no. 1, p. 96-110, https://doi.org/10.4257/oeco.2013.1701.09.","productDescription":"5 p.","startPage":"96","endPage":"110","ipdsId":"IP-039074","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4257/oeco.2013.1701.09","text":"Publisher Index Page"},{"id":275330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275326,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4257/oeco.2013.1701.09"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95be4b04309f4e38ce7","contributors":{"authors":[{"text":"Ouren, Douglas S. ourend@usgs.gov","contributorId":1931,"corporation":false,"usgs":true,"family":"Ouren","given":"Douglas","email":"ourend@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":470670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coffin, Alisa W. coffina@usgs.gov","contributorId":17305,"corporation":false,"usgs":true,"family":"Coffin","given":"Alisa","email":"coffina@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":470671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047185,"text":"sim3100 - 2013 - Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska","interactions":[],"lastModifiedDate":"2022-04-15T21:26:29.556909","indexId":"sim3100","displayToPublicDate":"2013-07-24T09:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3100","title":"Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska","docAbstract":"The rocks of the map area range from Proterozoic age metamorphic rocks of the Kanektok metamorphic complex (Kilbuck terrane) to Quaternary age mafic volcanic rocks of Nunivak Island. The map area encompasses much of the type area of the Togiak-Tikchik Complex. The geologic maps used to construct this compilation were, for the most part, reconnaissance studies done in the time period from the 1950s to 1990s. Pioneering work in the map area by J.M. Hoare and W.L. Coonrad forms the basis for much of this map, either directly or as the stepping off point for later studies compiled here.\n\nPhysiographically, the map area ranges from glaciated mountains, as much as 1,500 m high, in the Ahklun Mountains to the coastal lowlands of northern Bristol Bay and the Kuskokwim River delta. The mountains and the finger lakes (drowned fiords) on the east have been strongly affected by Pleistocene and Holocene glaciation.\n\nWithin the map area are a number of major faults. The Togiak-Tikchik Fault and its extension to the northeast, the Holitna Fault, are considered extensions of the Denali fault system of central Alaska. Other sub-parallel faults include the Golden Gate, Sawpit, Goodnews, and East Kulukak Faults. Northwest-trending strike-slip faults crosscut and offset northeast-trending fault systems.\n\nRocks of the area are assigned to a number of distinctive lithologic packages. Most distinctive among these packages are the high-grade metamorphic rocks of the Kanektok metamorphic complex or Kilbuck terrane, composed of a high-grade metamorphic orthogneiss core surrounded by greenschist and amphibolite facies schist, gneiss, and rare marble and quartzite. These rocks have yielded radiometric ages strongly suggestive of a 2.05 Ga emplacement age. Poorly known Paleozoic rocks, including Ordovician to Devonian and Permian limestone, are found east of the Kanektok metamorphic complex. A Triassic(?) ophiolite complex is on the southeast side of Kuskokwim Bay; otherwise only minor Triassic rock units are known. The most widespread rocks of the area are Jurassic and Early Cretaceous(?) volcanic and volcaniclastic rocks. The Kuskokwim Group flysch is restricted largely to the northeast part of the map area. It consists primarily of shelf and minor nearshore facies rocks. Primarily exposed in the lowlands west of the Ahklun Mountains, extensive latest Tertiary and Quaternary alkalic basalt flows and lesser pyroclastic rocks form much of the bedrock of the remaining area. On Saint Matthew Island, Cretaceous volcanic and pyroclastic rocks occur that are not found elsewhere within the map area. The Kuskokwim Group and older rocks, including on Saint Matthew Island, but not the Kanektok metamorphic complex, are intruded by widely dispersed Late Cretaceous and (or) Early Tertiary granitic rocks. Much of the lowland area is mantled by unconsolidated deposits that include glacial, alluvial and fluvial, marine, estuarine, and eolian deposits. These formed during several episodes of Quaternary glaciation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3100","usgsCitation":"Wilson, F.H., Hults, C.P., Mohadjer, S., and Coonrad, W.L., 2013, Reconnaissance geologic map of the Kuskokwim Bay region, southwest Alaska: U.S. Geological Survey Scientific Investigations Map 3100, Pamphlet: i, 45 p.; 1 Sheet: 50.00 × 46.06 inches, https://doi.org/10.3133/sim3100.","productDescription":"Pamphlet: i, 45 p.; 1 Sheet: 50.00 × 46.06 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":275334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3100.PNG"},{"id":398879,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98678.htm"},{"id":275333,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3100/sim3100_map.pdf"},{"id":275331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3100/"},{"id":275332,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3100/sim3100_pamphlet.pdf"}],"scale":"500000","country":"United States","state":"Alaska","otherGeospatial":"Kuskokwim Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -173.1231,\n              56.5\n            ],\n            [\n              -158,\n              56.5\n            ],\n            [\n              -158,\n              61\n            ],\n            [\n              -173.1231,\n              61\n            ],\n            [\n              -173.1231,\n              56.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95de4b04309f4e38cf7","contributors":{"authors":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hults, Chad P. chults@usgs.gov","contributorId":1930,"corporation":false,"usgs":true,"family":"Hults","given":"Chad","email":"chults@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":481303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohadjer, Solmaz","contributorId":61518,"corporation":false,"usgs":true,"family":"Mohadjer","given":"Solmaz","email":"","affiliations":[],"preferred":false,"id":481302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coonrad, Warren L.","contributorId":47481,"corporation":false,"usgs":true,"family":"Coonrad","given":"Warren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481301,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045973,"text":"70045973 - 2013 - Predicting locations of rare aquatic species’ habitat with a combination of species-specific and assemblage-based models","interactions":[],"lastModifiedDate":"2013-07-22T11:47:36","indexId":"70045973","displayToPublicDate":"2013-07-22T11:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Predicting locations of rare aquatic species’ habitat with a combination of species-specific and assemblage-based models","docAbstract":"Aim: Rare aquatic species are a substantial component of biodiversity, and their conservation is a major objective of many management plans. However, they are difficult to assess, and their optimal habitats are often poorly known. Methods to effectively predict the likely locations of suitable rare aquatic species habitats are needed. We combine two modelling approaches to predict occurrence and general abundance of several rare fish species. Location: Allegheny watershed of western New York State (USA) Methods: Our method used two empirical neural network modelling approaches (species specific and assemblage based) to predict stream-by-stream occurrence and general abundance of rare darters, based on broad-scale habitat conditions. Species-specific models were developed for longhead darter (Percina macrocephala), spotted darter (Etheostoma maculatum) and variegate darter (Etheostoma variatum) in the Allegheny drainage. An additional model predicted the type of rare darter-containing assemblage expected in each stream reach. Predictions from both models were then combined inclusively and exclusively and compared with additional independent data. Results Example rare darter predictions demonstrate the method's effectiveness. Models performed well (R2 ≥ 0.79), identified where suitable darter habitat was most likely to occur, and predictions matched well to those of collection sites. Additional independent data showed that the most conservative (exclusive) model slightly underestimated the distributions of these rare darters or predictions were displaced by one stream reach, suggesting that new darter habitat types were detected in the later collections. Main conclusions Broad-scale habitat variables can be used to effectively identify rare species' habitats. Combining species-specific and assemblage-based models enhances our ability to make use of the sparse data on rare species and to identify habitat units most likely and least likely to support those species. This hybrid approach may assist managers with the prioritization of habitats to be examined or conserved for rare species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/ddi.12059","usgsCitation":"McKenna, J., Carlson, D.M., and Payne-Wynne, M.L., 2013, Predicting locations of rare aquatic species’ habitat with a combination of species-specific and assemblage-based models: Diversity and Distributions, v. 19, no. 5-6, p. 503-517, https://doi.org/10.1111/ddi.12059.","productDescription":"15 p.","startPage":"503","endPage":"517","numberOfPages":"15","ipdsId":"IP-039413","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12059","text":"Publisher Index Page"},{"id":275216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275215,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ddi.12059"}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.881592,41.459195 ], [ -79.881592,42.228517 ], [ -78.222656,42.228517 ], [ -78.222656,41.459195 ], [ -79.881592,41.459195 ] ] ] } } ] }","volume":"19","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2013-05-06","publicationStatus":"PW","scienceBaseUri":"51ee465be4b00ffbed48f871","contributors":{"authors":[{"text":"McKenna, James E.","contributorId":9217,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","affiliations":[],"preferred":false,"id":478619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlson, Douglas M.","contributorId":91001,"corporation":false,"usgs":false,"family":"Carlson","given":"Douglas","email":"","middleInitial":"M.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":478621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Payne-Wynne, Molly L.","contributorId":33604,"corporation":false,"usgs":true,"family":"Payne-Wynne","given":"Molly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478620,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047105,"text":"70047105 - 2013 - Conifer seedling recruitment across a gradient from forest to alpine tundra: effects of species, provenance, and site","interactions":[],"lastModifiedDate":"2013-10-23T14:07:05","indexId":"70047105","displayToPublicDate":"2013-07-18T13:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3087,"text":"Plant Ecology and Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Conifer seedling recruitment across a gradient from forest to alpine tundra: effects of species, provenance, and site","docAbstract":"Background: Seedling germination and survival is a critical control on forest ecosystem boundaries, such as at the alpine–treeline ecotone. In addition, while it is known that species respond individualistically to the same suite of environmental drivers, the potential additional effect of local adaptation on seedling success has not been evaluated.\n\nAims: To determine whether local adaptation may influence the position and movement of forest ecosystem boundaries, we quantified conifer seedling recruitment in common gardens across a subalpine forest to alpine tundra gradient at Niwot Ridge, Colorado, USA.\n\nMethods: We studied Pinus flexilis and Picea engelmannii grown from seed collected locally at High (3400 m a.s.l.) and Low (3060 m a.s.l.) elevations. We monitored emergence and survival of seeds sown directly into plots and survival of seedlings germinated indoors and transplanted after snowmelt.\n\nResults: Emergence and survival through the first growing season was greater for P. flexilis than P. engelmannii and for Low compared with High provenances. Yet survival through the second growing season was similar for both species and provenances. Seedling emergence and survival tended to be greatest in the subalpine forest and lowest in the alpine tundra. Survival was greater for transplants than for field-germinated seedlings.\n\nConclusions: These results suggest that survival through the first few weeks is critical to the establishment of natural germinants. In addition, even small distances between seed sources can have a significant effect on early demographic performance – a factor that has rarely been considered in previous studies of tree recruitment and species range shifts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Plant Ecology and Diversity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Group","doi":"10.1080/17550874.2012.716087","usgsCitation":"Castanha, C., Torn, M., Germino, M., Weibel, B., and Kueppers, L., 2013, Conifer seedling recruitment across a gradient from forest to alpine tundra: effects of species, provenance, and site: Plant Ecology and Diversity, v. 6, no. 3-4, p. 307-318, https://doi.org/10.1080/17550874.2012.716087.","productDescription":"12 p.","startPage":"307","endPage":"318","numberOfPages":"12","ipdsId":"IP-039511","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473667,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.escholarship.org/uc/item/42q4t759","text":"External Repository"},{"id":275149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275148,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/17550874.2012.716087"}],"country":"United States","state":"Colorado","volume":"6","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e90054e4b0e157e9e86ede","contributors":{"authors":[{"text":"Castanha, C.","contributorId":80999,"corporation":false,"usgs":true,"family":"Castanha","given":"C.","affiliations":[],"preferred":false,"id":481065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torn, M.S.","contributorId":35051,"corporation":false,"usgs":true,"family":"Torn","given":"M.S.","affiliations":[],"preferred":false,"id":481064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, M.J.","contributorId":82537,"corporation":false,"usgs":true,"family":"Germino","given":"M.J.","affiliations":[],"preferred":false,"id":481066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weibel, Bettina","contributorId":108378,"corporation":false,"usgs":true,"family":"Weibel","given":"Bettina","email":"","affiliations":[],"preferred":false,"id":481068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kueppers, L.M.","contributorId":95703,"corporation":false,"usgs":true,"family":"Kueppers","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":481067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046847,"text":"70046847 - 2013 - Hysteresis in suspended sediment to turbidity relations due to changing particle size distributions","interactions":[],"lastModifiedDate":"2013-10-23T13:59:24","indexId":"70046847","displayToPublicDate":"2013-07-17T11:11:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hysteresis in suspended sediment to turbidity relations due to changing particle size distributions","docAbstract":"Turbidity (T) is the most ubiquitous of surrogate technologies used to estimate suspended-sediment concentration (SSC). The effects of sediment size on turbidity are well documented; however, effects from changes in particle size distributions (PSD) are rarely evaluated. Hysteresis in relations of SSC-to-turbidity (SSC~T) for single stormflow events was observed and quantified for a data set of 195 concurrent measurements of SSC, turbidity, discharge, velocity, and volumetric PSD collected during five stormflows in 2009–2010 on Yellow River at Gees Mill Road in metropolitan Atlanta, Georgia. Regressions of SSC-normalized turbidity (T/SSC) on concurrently measured PSD percentiles show an inverse, exponential influence of particle size on turbidity that is not constant across the size range of the PSD. The majority of the influence of PSD on T/SSC is from particles of fine-silt and smaller sizes (finer than 16 microns). This study shows that small changes in the often assumed stability of the PSD are significant to SSC~T relations. Changes of only 5 microns in the fine silt and smaller size fractions of suspended sediment PSD can produce hysteresis in the SSC~T rating that can increase error and produce bias. Observed SSC~T hysteresis may be an indicator of changes in sediment properties during stormflows and of potential changes in sediment sources. Trends in the PSD time series indicate that sediment transport is capacity-limited for sand-sized sediment in the channel and supply-limited for fine silt and smaller sediment from the hillslope.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20394","usgsCitation":"Landers, M.N., and Sturm, T.W., 2013, Hysteresis in suspended sediment to turbidity relations due to changing particle size distributions: Water Resources Research, v. 49, no. 9, p. 5487-5500, https://doi.org/10.1002/wrcr.20394.","productDescription":"14 p.","startPage":"5487","endPage":"5500","numberOfPages":"14","ipdsId":"IP-040416","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":275109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275108,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20394"}],"scale":"100000","country":"United States","state":"Georgia","otherGeospatial":"Yellow River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.256897,33.648922 ], [ -84.256897,34.100434 ], [ -83.909626,34.100434 ], [ -83.909626,33.648922 ], [ -84.256897,33.648922 ] ] ] } } ] }","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-09","publicationStatus":"PW","scienceBaseUri":"51e7aed6e4b080b82b09c606","contributors":{"authors":[{"text":"Landers, Mark N. 0000-0002-3014-0480 landers@usgs.gov","orcid":"https://orcid.org/0000-0002-3014-0480","contributorId":1103,"corporation":false,"usgs":true,"family":"Landers","given":"Mark","email":"landers@usgs.gov","middleInitial":"N.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":480452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sturm, Terry W.","contributorId":36445,"corporation":false,"usgs":true,"family":"Sturm","given":"Terry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480453,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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