{"pageNumber":"776","pageRowStart":"19375","pageSize":"25","recordCount":40764,"records":[{"id":70036438,"text":"70036438 - 2011 - Age and tectonic setting of the Mesozoic McCoy Mountains Formation in western Arizona, USA","interactions":[],"lastModifiedDate":"2021-01-11T17:57:40.152919","indexId":"70036438","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Age and tectonic setting of the Mesozoic McCoy Mountains Formation in western Arizona, USA","docAbstract":"<p><span>The McCoy Mountains Formation consists of Upper Jurassic to Upper Cretaceous siltstone, sandstone, and conglomerate exposed in an east-west–trending belt in southwestern Arizona and southeastern California. At least three different tectonic settings have been proposed for McCoy deposition, and multiple tectonic settings are likely over the ∼80 m.y. age range of deposition. U-Pb isotopic analysis of 396 zircon sand grains from at or near the top of McCoy sections in the southern Little Harquahala, Granite Wash, New Water, and southern Plomosa Mountains, all in western Arizona, identified only Jurassic or older zircons. A basaltic lava flow near the top of the section in the New Water Mountains yielded a U-Pb zircon date of 154.4 ± 2.1 Ma. Geochemically similar lava flows and sills in the Granite Wash and southern Plomosa Mountains are inferred to be approximately the same age. We interpret these new analyses to indicate that Mesozoic clastic strata in these areas are Upper Jurassic and are broadly correlative with the lowermost McCoy Mountains Formation in the Dome Rock, McCoy, and Palen Mountains farther west. Six samples of numerous Upper Jurassic basaltic sills and lava flows in the McCoy Mountains Formation in the Granite Wash, New Water, and southern Plomosa Mountains yielded initial ε</span><sub>Nd</sub><span>&nbsp;values (at t = 150 Ma) of between +4 and +6. The geochemistry and geochronology of this igneous suite, and detrital-zircon geochronology of the sandstones, support the interpretation that the lower McCoy Mountains Formation was deposited during rifting within the western extension of the Sabinas-Chihuahua-Bisbee rift belt. Abundant 190–240 Ma zircon sand grains were derived from nearby, unidentified Triassic magmatic-arc rocks in areas that were unaffected by younger Jurassic magmatism. A sandstone from the upper McCoy Mountains Formation in the Dome Rock Mountains (Arizona) yielded numerous 80–108 Ma zircon grains and almost no 190–240 Ma grains, revealing a major reorganization in sediment-dispersal pathways and/or modification of source rocks that had occurred by ca. 80 Ma.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B30206.1","issn":"00167606","usgsCitation":"Spencer, J., Richard, S., Gehrels, G.E., Gleason, J., and Dickinson, W., 2011, Age and tectonic setting of the Mesozoic McCoy Mountains Formation in western Arizona, USA: Geological Society of America Bulletin, v. 123, no. 7-8, p. 1258-1274, https://doi.org/10.1130/B30206.1.","productDescription":"17 p.","startPage":"1258","endPage":"1274","costCenters":[],"links":[{"id":246131,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218146,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30224.1"}],"country":"United States","state":"Arizona","otherGeospatial":"McCoy Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.13671875,\n              33.17434155100208\n            ],\n            [\n              -113.0712890625,\n              33.17434155100208\n            ],\n            [\n              -113.0712890625,\n              34.05265942137599\n            ],\n            [\n              -115.13671875,\n              34.05265942137599\n            ],\n            [\n              -115.13671875,\n              33.17434155100208\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2011-01-26","publicationStatus":"PW","scienceBaseUri":"5059e8e3e4b0c8380cd47f4f","contributors":{"authors":[{"text":"Spencer, J.E.","contributorId":91542,"corporation":false,"usgs":true,"family":"Spencer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":456169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richard, S.M.","contributorId":20376,"corporation":false,"usgs":true,"family":"Richard","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":456166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gehrels, G. E.","contributorId":9660,"corporation":false,"usgs":true,"family":"Gehrels","given":"G.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":456165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gleason, J.D.","contributorId":27072,"corporation":false,"usgs":true,"family":"Gleason","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":456167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickinson, W.R.","contributorId":64801,"corporation":false,"usgs":true,"family":"Dickinson","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":456168,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035990,"text":"70035990 - 2011 - Formation pressure testing at the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Operational summary, history matching, and interpretations","interactions":[],"lastModifiedDate":"2021-02-04T17:19:42.215385","indexId":"70035990","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Formation pressure testing at the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Operational summary, history matching, and interpretations","docAbstract":"<p id=\"abspara0010\">In February 2007, the U.S. Department of Energy, BP Exploration (Alaska), and the U.S. Geological Survey, collected open-hole pressure-response data, as well as gas and water sample collection, in a gas hydrate reservoir (the BPXA-DOE-USGS Mount Elbert Gas Hydrate Stratigraphic Test Well) using Schlumberger's Modular Dynamics Formation Tester (MDT) wireline tool. Four such MDT tests, ranging from six to twelve hours duration, and including a series of flow, sampling, and shut-in periods of various durations, were conducted. Locations for the testing were selected based on NMR and other log data to assure sufficient isolation from reservoir boundaries and zones of excess free water. Test stages in which pressure was reduced sufficiently to mobilize free water in the formation (yet not cause gas hydrate dissociation) produced readily interpretable pressure build-up profiles. Build-ups following larger drawdowns consistently showed gas-hydrate dissociation and gas release (as confirmed by optical fluid analyzer data), as well as progressive dampening of reservoir pressure build-up during sequential tests at a given MDT test station.</p><p id=\"abspara0015\">History matches of one multi-stage, 12-h test (the C2 test) were accomplished using five different reservoir simulators: CMG-STARS, HydrateResSim, MH21-HYDRES, STOMP-HYD, and TOUGH&nbsp;+&nbsp;HYDRATE. Simulations utilized detailed information collected across the reservoir either obtained or determined from geophysical well logs, including thickness (11.3&nbsp;m, 37 ft.), porosity (35%), hydrate saturation (65%), both mobile and immobile water saturations, intrinsic permeability (1000&nbsp;mD), pore water salinity (5&nbsp;ppt), and formation temperature (3.3–3.9&nbsp;°C). This paper will present the approach and preliminary results of the history-matching efforts, including estimates of initial formation permeability and analyses of the various unique features exhibited by the MDT results.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.02.012","issn":"02648172","usgsCitation":"Anderson, B., Hancock, S., Wilson, S., Enger, C., Collett, T.S., Boswell, R., and Hunter, R., 2011, Formation pressure testing at the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Operational summary, history matching, and interpretations: Marine and Petroleum Geology, v. 28, no. 2, p. 478-492, https://doi.org/10.1016/j.marpetgeo.2010.02.012.","productDescription":"15 p.","startPage":"478","endPage":"492","costCenters":[],"links":[{"id":244348,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216477,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.02.012"}],"country":"United States","state":"Alaska","otherGeospatial":"The North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -167.080078125,\n              67.20403234340081\n            ],\n            [\n              -140.888671875,\n              67.20403234340081\n            ],\n            [\n              -140.888671875,\n              71.63599288330609\n            ],\n            [\n              -167.080078125,\n              71.63599288330609\n            ],\n            [\n              -167.080078125,\n              67.20403234340081\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a135ae4b0c8380cd54621","contributors":{"authors":[{"text":"Anderson, B.","contributorId":34705,"corporation":false,"usgs":true,"family":"Anderson","given":"B.","affiliations":[],"preferred":false,"id":453503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, S.","contributorId":71742,"corporation":false,"usgs":false,"family":"Hancock","given":"S.","email":"","affiliations":[],"preferred":false,"id":453507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, S.","contributorId":98935,"corporation":false,"usgs":true,"family":"Wilson","given":"S.","affiliations":[],"preferred":false,"id":453509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enger, C.","contributorId":83762,"corporation":false,"usgs":true,"family":"Enger","given":"C.","email":"","affiliations":[],"preferred":false,"id":453508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":453506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, R.","contributorId":35121,"corporation":false,"usgs":true,"family":"Boswell","given":"R.","affiliations":[],"preferred":false,"id":453504,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, R.","contributorId":36778,"corporation":false,"usgs":true,"family":"Hunter","given":"R.","affiliations":[],"preferred":false,"id":453505,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034678,"text":"70034678 - 2011 - Potential effects of alpha-recoil on uranium-series dating of calcrete","interactions":[],"lastModifiedDate":"2013-07-26T12:53:12","indexId":"70034678","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of alpha-recoil on uranium-series dating of calcrete","docAbstract":"Evaluation of paleosol ages in the vicinity of Yucca Mountain, Nevada, at the time the site of a proposed high-level nuclear waste repository, is important for fault-displacement hazard assessment. Uranium-series isotope data were obtained for surface and subsurface calcrete samples from trenches and boreholes in Midway Valley, Nevada, adjacent to Yucca Mountain. <sup>230</sup>Th/U ages of 33 surface samples range from 1.3 to 423 thousand years (ka) and the back-calculated <sup>234</sup>U/<sup>238</sup>U initial activity ratios (AR) are relatively constant with a mean value of 1.54 ± 0.15 (1σ), which is consistent with the closed-system behavior. Subsurface calcrete samples are too old to be dated by the <sup>230</sup>Th/U method. U-Pb data for post-pedogenic botryoidal opal from a subsurface calcrete sample show that these subsurface calcrete samples are older than ~ 1.65 million years (Ma), old enough to have attained secular equilibrium had their U-Th systems remained closed. However, subsurface calcrete samples show U-series disequilibrium indicating open-system behavior of <sup>238</sup>U daughter isotopes, in contrast with the surface calcrete, where open-system behavior is not evident. Data for 21 subsurface calcrete samples yielded calculable <sup>234</sup>U/<sup>238</sup>U model ages ranging from 130 to 1875 ka (assuming an initial AR of 1.54 ± 0.15, the mean value calculated for the surface calcrete samples). A simple model describing continuous α-recoil loss predicts that the <sup>234</sup>U/<sup>238</sup>U and <sup>230</sup>Th/<sup>238</sup>U ARs reach steady-state values ~ 2 Ma after calcrete formation. Potential effects of open-system behavior on <sup>230</sup>Th/U ages and initial <sup>234</sup>U/<sup>238</sup>U ARs for younger surface calcrete were estimated using data for old subsurface calcrete samples with the <sup>234</sup>U loss and assuming that the total time of water-rock interaction is the only difference between these soils. The difference between the conventional closed-system and open-system ages may exceed errors of the calculated conventional ages for samples older than ~ 250 ka, but is negligible for younger soils.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.01.013","issn":"00092541","usgsCitation":"Neymark, L., 2011, Potential effects of alpha-recoil on uranium-series dating of calcrete: Chemical Geology, v. 282, no. 3-4, p. 98-112, https://doi.org/10.1016/j.chemgeo.2011.01.013.","productDescription":"15 p.","startPage":"98","endPage":"112","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":215895,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.01.013"},{"id":243730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7ec9e4b0c8380cd7a74d","contributors":{"authors":[{"text":"Neymark, L.A. 0000-0003-4190-0278","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":56673,"corporation":false,"usgs":true,"family":"Neymark","given":"L.A.","affiliations":[],"preferred":false,"id":447009,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70033842,"text":"70033842 - 2011 - Search behavior of arboreal insectivorous migrants at gulf coast stopover sites in spring","interactions":[],"lastModifiedDate":"2012-12-28T13:31:16","indexId":"70033842","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Search behavior of arboreal insectivorous migrants at gulf coast stopover sites in spring","docAbstract":"Search behavior of arboreal insectivorous migrants was studied at three stopover sites along the northern coast of the Gulf of Mexico during spring migrations, 1993–1995. We examined if search behavior was affected by phylogeny, or by environmental factors. A sequence of search movements (hop, flutter, or flight) in a foraging bout was recorded for each migrant encountered. Search rate, frequency, and distance of movements were calculated for each species. Search rate was positively correlated with proportion of hop, but negatively correlated to flight distance. Hop distance was positively correlated to tarsus length, as was flight distance to wing length for the 31 species of migrants. Cluster analysis indicated closely related species generally have similar foraging modes, which range from “sit-and-wait” of flycatchers to “widely foraging” of warblers. Migrants tended to use more hops in dense vegetation, but more flights in areas with sparse vegetation. Migrants also used more flights when foraging in mixed-species flocks and during periods of high migrant density. Logistic models indicated warblers were more influenced by environmental factors than vireos, possibly because warblers are near-perch searchers and more affected by these factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wilson Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1676/10-077.1","issn":"15594491","usgsCitation":"Chen, C., Barrow, W., Ouchley, K., and Hamilton, R., 2011, Search behavior of arboreal insectivorous migrants at gulf coast stopover sites in spring: Wilson Journal of Ornithology, v. 123, no. 2, p. 347-359, https://doi.org/10.1676/10-077.1.","productDescription":"13 p.","startPage":"347","endPage":"359","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":214444,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/10-077.1"},{"id":242172,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b883de4b08c986b31688a","contributors":{"authors":[{"text":"Chen, Chao-Chieh","contributorId":27282,"corporation":false,"usgs":true,"family":"Chen","given":"Chao-Chieh","email":"","affiliations":[],"preferred":false,"id":442798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrow, W.C. Jr. 0000-0003-4671-2823","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":11183,"corporation":false,"usgs":true,"family":"Barrow","given":"W.C.","suffix":"Jr.","affiliations":[],"preferred":false,"id":442797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ouchley, K.","contributorId":9422,"corporation":false,"usgs":true,"family":"Ouchley","given":"K.","email":"","affiliations":[],"preferred":false,"id":442796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamilton, R.B.","contributorId":63509,"corporation":false,"usgs":true,"family":"Hamilton","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":442799,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032259,"text":"70032259 - 2011 - Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest","interactions":[],"lastModifiedDate":"2017-04-06T12:27:29","indexId":"70032259","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest","docAbstract":"It is challenging to detect burn severity and vegetation recovery because of the relatively long time period required to capture the ecosystem characteristics. Multitemporal remote sensing data can providemultitemporal observations before, during and after a wildfire, and can improve the change detection accuracy. The goal of this study is to examine the correlations between multitemporal spectral indices and field-observed burn severity, and to provide a practical method to estimate burn severity and vegetation recovery. The study site is the Jasper Fire area in the Black Hills National Forest, South Dakota, that burned during August and September 2000. Six multitemporal Landsat images acquired from 2000 (pre-fire), 2001 (post-fire), 2002, 2003, 2005 and 2007 were used to assess burn severity. The normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), normalized burn ratio (NBR), integrated forest index (IFI) and the differences of these indices between the pre-fire and post-fire years were computed and analysed with 66 field-based composite burn index (CBI) plots collected in 2002. Results showed that differences of NDVI and differences of EVI between the pre-fire year and the first two years post-fire were highly correlated with the CBI scores. The correlations were low beyond the second year post-fire. Differences of NBR had good correlation with CBI scores in all study years. Differences of IFI had low correlation with CBI in the first year post-fire and had good correlation in later years. A CBI map of the burnt area was produced using regression tree models and the multitemporal images. The dynamics of four spectral indices from 2000 to 2007 indicated that both NBR and IFI are valuable for monitoring long-term vegetation recovery. The high burn severity areas had a much slower recovery than the moderate and low burn areas.","language":"English","publisher":"Taylor & Francis","publisherLocation":"London, UK","doi":"10.1080/01431161.2010.524678","issn":"01431161","usgsCitation":"Chen, X., Vogelmann, J., Rollins, M., Ohlen, D., Key, C.H., Yang, L., Huang, C., and Shi, H., 2011, Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest: International Journal of Remote Sensing, v. 32, no. 23, p. 7905-7927, https://doi.org/10.1080/01431161.2010.524678.","productDescription":"23 p.","startPage":"7905","endPage":"7927","numberOfPages":"23","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":486672,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1PEKZPH","text":"USGS data release","linkHelpText":"Fuels Data for the 2000 Jasper Fire in the Black Hills of South Dakota, Collected in 2023 and 2024"},{"id":242579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214827,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.524678"}],"volume":"32","issue":"23","noUsgsAuthors":false,"publicationDate":"2011-08-09","publicationStatus":"PW","scienceBaseUri":"5059ff62e4b0c8380cd4f164","contributors":{"authors":[{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":513930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":513927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rollins, Matt mrollins@usgs.gov","contributorId":647,"corporation":false,"usgs":true,"family":"Rollins","given":"Matt","email":"mrollins@usgs.gov","affiliations":[],"preferred":true,"id":513926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ohlen, Donald","contributorId":121016,"corporation":false,"usgs":true,"family":"Ohlen","given":"Donald","affiliations":[],"preferred":false,"id":513932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Key, Carl H. carl_key@usgs.gov","contributorId":4138,"corporation":false,"usgs":true,"family":"Key","given":"Carl","email":"carl_key@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":513928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Limin 0000-0002-2843-6944 lyang@usgs.gov","orcid":"https://orcid.org/0000-0002-2843-6944","contributorId":4305,"corporation":false,"usgs":true,"family":"Yang","given":"Limin","email":"lyang@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":513929,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":513931,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":513925,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034455,"text":"70034455 - 2011 - Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA","interactions":[],"lastModifiedDate":"2021-04-20T16:04:25.430649","indexId":"70034455","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA","docAbstract":"<p><span>Investigations on the northern Seward Peninsula in Alaska identified zones of recent (&lt;50 years) permafrost collapse that led to the formation of floating vegetation mats along thermokarst lake margins. The occurrence of floating vegetation mat features indicates rapid degradation of near‐surface permafrost and lake expansion. This paper reports on the recent expansion of these collapse features and their geometry is determined using geophysical and remote sensing measurements. The vegetation mats were observed to have an average thickness of 0.57 m and petrophysical modeling indicated that gas content of 1.5–5% enabled floatation above the lake surface. Furthermore, geophysical investigation provides evidence that the mats form by thaw and subsidence of the underlying permafrost rather than terrestrialization. The temperature of the water below a vegetation mat was observed to remain above freezing late in the winter. Analysis of satellite and aerial imagery indicates that these features have expanded at maximum rates of 1–2 m yr</span><sup>‐1</sup><span>&nbsp;over a 56 year period. Including the spatial coverage of floating ‘thermokarst mats’ increases estimates of lake area by as much as 4% in some lakes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.2210","issn":"01979337","usgsCitation":"Parsekian, A., Jones, B.M., Jones, M., Grosse, G., Walter, A.K., and Slater, L., 2011, Expansion rate and geometry of floating vegetation mats on the margins of thermokarst lakes, northern Seward Peninsula, Alaska, USA: Earth Surface Processes and Landforms, v. 36, no. 14, p. 1889-1897, https://doi.org/10.1002/esp.2210.","productDescription":"9 p.","startPage":"1889","endPage":"1897","costCenters":[],"links":[{"id":244826,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216924,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.2210"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -169.013671875,\n              64.09140752262307\n            ],\n            [\n              -158.79638671875,\n              64.09140752262307\n            ],\n            [\n              -158.79638671875,\n              67.20403234340081\n            ],\n            [\n              -169.013671875,\n              67.20403234340081\n            ],\n            [\n              -169.013671875,\n              64.09140752262307\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"14","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a0db7e4b0c8380cd5316b","contributors":{"authors":[{"text":"Parsekian, A.D.","contributorId":60048,"corporation":false,"usgs":true,"family":"Parsekian","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":445876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":445874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, M.","contributorId":32297,"corporation":false,"usgs":true,"family":"Jones","given":"M.","affiliations":[],"preferred":false,"id":445873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, G.","contributorId":82140,"corporation":false,"usgs":true,"family":"Grosse","given":"G.","affiliations":[],"preferred":false,"id":445877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walter, Anthony K.M.","contributorId":49633,"corporation":false,"usgs":true,"family":"Walter","given":"Anthony","email":"","middleInitial":"K.M.","affiliations":[],"preferred":false,"id":445875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slater, L.","contributorId":99267,"corporation":false,"usgs":true,"family":"Slater","given":"L.","email":"","affiliations":[],"preferred":false,"id":445878,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035670,"text":"70035670 - 2011 - Microbial community structure of hydrothermal deposits from geochemically different vent fields along the Mid-Atlantic Ridge","interactions":[],"lastModifiedDate":"2013-02-26T13:35:19","indexId":"70035670","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial community structure of hydrothermal deposits from geochemically different vent fields along the Mid-Atlantic Ridge","docAbstract":"To evaluate the effects of local fluid geochemistry on microbial communities associated with active hydrothermal vent deposits, we examined the archaeal and bacterial communities of 12 samples collected from two very different vent fields: the basalt-hosted Lucky Strike (37&deg;17'N, 32&deg;16.3'W, depth 1600-1750m) and the ultramafic-hosted Rainbow (36&deg;13'N, 33&deg;54.1'W, depth 2270-2330m) vent fields along the Mid-Atlantic Ridge (MAR). Using multiplexed barcoded pyrosequencing of the variable region 4 (V4) of the 16S rRNA genes, we show statistically significant differences between the archaeal and bacterial communities associated with the different vent fields. Quantitative polymerase chain reaction (qPCR) assays of the functional gene diagnostic for methanogenesis (<i>mcr</i>A), as well as geochemical modelling to predict pore fluid chemistries within the deposits, support the pyrosequencing observations. Collectively, these results show that the less reduced, hydrogen-poor fluids at Lucky Strike limit colonization by strict anaerobes such as methanogens, and allow for hyperthermophilic microaerophiles, like <i>Aeropyrum</i>. In contrast, the hydrogen-rich reducing vent fluids at the ultramafic-influenced Rainbow vent field support the prevalence of methanogens and other hydrogen-oxidizing thermophiles at this site. These results demonstrate that biogeographical patterns of hydrothermal vent microorganisms are shaped in part by large scale geological and geochemical processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1462-2920.2011.02463.x","issn":"14622912","usgsCitation":"Flores, G.E., Campbell, J.H., Kirshtein, J.D., Meneghin, J., Podar, M., Steinberg, J.I., Seewald, J., Tivey, M.K., Voytek, M.A., Yang, Z.K., and Reysenbach, A., 2011, Microbial community structure of hydrothermal deposits from geochemically different vent fields along the Mid-Atlantic Ridge: Environmental Microbiology, v. 13, no. 8, p. 2158-2171, https://doi.org/10.1111/j.1462-2920.2011.02463.x.","productDescription":"14 p.","startPage":"2158","endPage":"2171","numberOfPages":"14","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":216246,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1462-2920.2011.02463.x"},{"id":244107,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-03-21","publicationStatus":"PW","scienceBaseUri":"505a5647e4b0c8380cd6d49e","contributors":{"authors":[{"text":"Flores, Gilberto E.","contributorId":14220,"corporation":false,"usgs":true,"family":"Flores","given":"Gilberto","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":451783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, James H.","contributorId":72616,"corporation":false,"usgs":true,"family":"Campbell","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":451790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":451785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meneghin, Jennifer","contributorId":108338,"corporation":false,"usgs":true,"family":"Meneghin","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":451793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Podar, Mircea","contributorId":85004,"corporation":false,"usgs":true,"family":"Podar","given":"Mircea","email":"","affiliations":[],"preferred":false,"id":451791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steinberg, Joshua I.","contributorId":22990,"corporation":false,"usgs":true,"family":"Steinberg","given":"Joshua","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":451784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seewald, Jeffrey S.","contributorId":58758,"corporation":false,"usgs":true,"family":"Seewald","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":451788,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tivey, Margaret Kingston","contributorId":26541,"corporation":false,"usgs":true,"family":"Tivey","given":"Margaret","email":"","middleInitial":"Kingston","affiliations":[],"preferred":false,"id":451786,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":451792,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yang, Zamin K.","contributorId":71794,"corporation":false,"usgs":true,"family":"Yang","given":"Zamin","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":451789,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reysenbach, Anna-Louise","contributorId":29663,"corporation":false,"usgs":true,"family":"Reysenbach","given":"Anna-Louise","email":"","affiliations":[],"preferred":false,"id":451787,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70032298,"text":"70032298 - 2011 - Interactions between natural-occurring landscape conditions and land use influencing the abundance of riverine smallmouth bass, micropterus dolomieu","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032298","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Interactions between natural-occurring landscape conditions and land use influencing the abundance of riverine smallmouth bass, micropterus dolomieu","docAbstract":"This study examined how interactions between natural landscape features and land use influenced the abundance of smallmouth bass, Micropterus dolomieu, in Missouri, USA, streams. Stream segments were placed into one of four groups based on natural-occurring watershed characteristics (soil texture and soil permeability) predicted to relate to smallmouth bass abundance. Within each group, stream segments were assigned forest (n = 3), pasture (n = 3), or urban (n = 3) designations based on the percentages of land use within each watershed. Analyses of variance indicated smallmouth bass densities differed between land use and natural conditions. Decision tree models indicated abundance was highest in forested stream segments and lowest in urban stream segments, regardless of group designation. Land use explained the most variation in decision tree models, but in-channel features of temperature, flow, and sediment also contributed significantly. These results are unique and indicate the importance of natural-occurring watershed conditions in defining the potential of populations and how finer-scale filters interact with land use to further alter population potential. Smallmouth bass has differing vulnerabilities to land-use attributes, and the better the natural watershed conditions are for population success, the more resilient these populations will be when land conversion occurs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/f2011-110","issn":"0706652X","usgsCitation":"Brewer, S., and Rabeni, C., 2011, Interactions between natural-occurring landscape conditions and land use influencing the abundance of riverine smallmouth bass, micropterus dolomieu: Canadian Journal of Fisheries and Aquatic Sciences, v. 68, no. 11, p. 1922-1933, https://doi.org/10.1139/f2011-110.","startPage":"1922","endPage":"1933","numberOfPages":"12","costCenters":[],"links":[{"id":214982,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/f2011-110"},{"id":242744,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3cc4e4b0c8380cd63011","contributors":{"authors":[{"text":"Brewer, S.K.","contributorId":34284,"corporation":false,"usgs":true,"family":"Brewer","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":435497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabeni, C.F.","contributorId":67823,"corporation":false,"usgs":true,"family":"Rabeni","given":"C.F.","affiliations":[],"preferred":false,"id":435498,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70036430,"text":"70036430 - 2011 - Modelling detectability of kiore (Rattus exulans) on Aguiguan, Mariana Islands, to inform possible eradication and monitoring efforts","interactions":[],"lastModifiedDate":"2021-01-11T20:10:34.36895","indexId":"70036430","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2867,"text":"New Zealand Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Modelling detectability of kiore (<i>Rattus exulans</i>) on Aguiguan, Mariana Islands, to inform possible eradication and monitoring efforts","title":"Modelling detectability of kiore (Rattus exulans) on Aguiguan, Mariana Islands, to inform possible eradication and monitoring efforts","docAbstract":"<p>Estimating the detection probability of introduced organisms during the pre-monitoring phase of an eradication effort can be extremely helpful in informing eradication and post-eradication monitoring efforts, but this step is rarely taken. We used data collected during 11 nights of mark-recapture sampling on Aguiguan, Mariana Islands, to estimate introduced kiore (Rattus exulans Peale) density and detection probability, and evaluated factors affecting detectability to help inform possible eradication efforts. Modelling of 62 captures of 48 individuals resulted in a model-averaged density estimate of 55 kiore/ha. Kiore detection probability was best explained by a model allowing neophobia to diminish linearly (i.e. capture probability increased linearly) until occasion 7, with additive effects of sex and cumulative rainfall over the prior 48 hours. Detection probability increased with increasing rainfall and females were up to three times more likely than males to be trapped. In this paper, we illustrate the type of information that can be obtained by modelling mark-recapture data collected during pre-eradication monitoring and discuss the potential of using these data to inform eradication and post-eradication monitoring efforts.</p>","largerWorkTitle":"New Zealand Journal of Ecology","language":"English","publisher":"New Zealand Ecological Society.","issn":"01106465","usgsCitation":"Adams, A., Stanford, J., Wiewel, A., and Rodda, G., 2011, Modelling detectability of kiore (Rattus exulans) on Aguiguan, Mariana Islands, to inform possible eradication and monitoring efforts: New Zealand Journal of Ecology, v. 35, no. 2, p. 145-152.","productDescription":"8 p.","startPage":"145","endPage":"152","costCenters":[],"links":[{"id":246482,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mariana Islands","otherGeospatial":"Aguiguan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              145.04150390625,\n              14.562317701914855\n            ],\n            [\n              146.326904296875,\n              14.562317701914855\n            ],\n            [\n              146.326904296875,\n              15.728813770533966\n            ],\n            [\n              145.04150390625,\n              15.728813770533966\n            ],\n            [\n              145.04150390625,\n              14.562317701914855\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c65e4b0c8380cd6fc72","contributors":{"authors":[{"text":"Adams, A.A.Y.","contributorId":50369,"corporation":false,"usgs":true,"family":"Adams","given":"A.A.Y.","email":"","affiliations":[],"preferred":false,"id":456109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanford, J.W.","contributorId":90963,"corporation":false,"usgs":true,"family":"Stanford","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":456110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiewel, A.S.","contributorId":8682,"corporation":false,"usgs":true,"family":"Wiewel","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":456108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":456111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036428,"text":"70036428 - 2011 - Neotectonic inversion of the Hindu Kush-Pamir mountain region","interactions":[],"lastModifiedDate":"2012-03-12T17:22:03","indexId":"70036428","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1902,"text":"Himalayan Geology","active":true,"publicationSubtype":{"id":10}},"title":"Neotectonic inversion of the Hindu Kush-Pamir mountain region","docAbstract":"The Hindu Kush-Pamir region of southern Asia is one of Earth's most rapidly deforming regions and it is poorly understood. This study develops a kinematic model based on active faulting in this part of the Trans-Himalayan orogenic belt. Previous studies have described north-verging thrust faults and some strike-slip faults, reflected in the northward-convex geomorphologic and structural grain of the Pamir Mountains. However, this structural analysis suggests that contemporary tectonics are changing the style of deformation from north-verging thrusts formed during the initial contraction of the Himalayan orogeny to south-verging thrusts and a series of northwest-trending, dextral strike-slip faults in the modern transpressional regime. These northwest-trending fault zones are linked to the major right-lateral Karakoram fault, located to the east, as synthetic, conjugate shears that form a right-stepping en echelon pattern. Northwest-trending lineaments with dextral displacements extend continuously westward across the Hindu Kush-Pamir region indicating a pattern of systematic shearing of multiple blocks to the northwest as the deformation effects from Indian plate collision expands to the north-northwest. Locally, east-northeast- and northwest-trending faults display sinistral and dextral displacement, respectively, yielding conjugate shear pairs developed in a northwest-southeast compressional stress field. Geodetic measurements and focal mechanisms from historical seismicity support these surficial, tectono-morphic observations. The conjugate shear pairs may be structurally linked subsidiary faults and co-seismically slip during single large magnitude (> M7) earthquakes that occur on major south-verging thrust faults. This kinematic model provides a potential context for prehistoric, historic, and future patterns of faulting and earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Himalayan Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"09718966","usgsCitation":"Ruleman, C., 2011, Neotectonic inversion of the Hindu Kush-Pamir mountain region: Himalayan Geology, v. 32, no. 2, p. 95-111.","startPage":"95","endPage":"111","numberOfPages":"17","costCenters":[],"links":[{"id":246448,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a645ce4b0c8380cd729a1","contributors":{"authors":[{"text":"Ruleman, C.A.","contributorId":50237,"corporation":false,"usgs":true,"family":"Ruleman","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":456101,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70036838,"text":"70036838 - 2011 - Does small-perimeter fencing inhibit mule deer or pronghorn use of water developments?","interactions":[],"lastModifiedDate":"2020-12-18T19:04:51.190749","indexId":"70036838","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Does small-perimeter fencing inhibit mule deer or pronghorn use of water developments?","docAbstract":"<p>Wildlife water development can be an important habitat management strategy in western North America for many species, including both pronghorn (Antilocapra americana) and mule deer (Odocoileus hemionus). In many areas, water developments are fenced (often with small-perimeter fencing) to exclude domestic livestock and feral horses. Small-perimeter exclosures could limit wild ungulate use of fenced water sources, as exclosures present a barrier pronghorn and mule deer must negotiate to gain access to fenced drinking water. To evaluate the hypothesis that exclosures limit wild ungulate access to water sources, we compared use (photo counts) of fenced versus unfenced water sources for both pronghorn and mule deer between June and October 2002–2008 in western Utah. We used model selection to identify an adequate distribution and best approximating model. We selected a zero-inflated negative binomial distribution for both pronghorn and mule deer photo counts. Both pronghorn and mule deer photo counts were positively associated with sampling time and average daily maximum temperature in top models. A fence effect was present in top models for both pronghorn and mule deer, but mule deer response to small-perimeter fencing was much more pronounced than pronghorn response. For mule deer, we estimated that presence of a fence around water developments reduced photo counts by a factor of 0.25. We suggest eliminating fencing of water developments whenever possible or fencing a big enough area around water sources to avoid inhibiting mule deer. More generally, our results provide additional evidence that water development design and placement influence wildlife use. Failure to account for species-specific preferences will limit effectiveness of management actions and could compromise research results.</p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.163","issn":"0022541X","usgsCitation":"Larsen, R., Bissonette, J., Flinders, J., and Robinson, A., 2011, Does small-perimeter fencing inhibit mule deer or pronghorn use of water developments?: Journal of Wildlife Management, v. 75, no. 6, p. 1417-1425, https://doi.org/10.1002/jwmg.163.","productDescription":"9 p.","startPage":"1417","endPage":"1425","costCenters":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":245799,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217827,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.163"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.97216796875,\n              40.27952566881291\n            ],\n            [\n              -111.86279296875,\n              40.36328834091583\n            ],\n            [\n              -112.06054687499999,\n              41.244772343082076\n            ],\n            [\n              -112.1044921875,\n              41.60722821271717\n            ],\n            [\n              -112.763671875,\n              41.918628865183045\n            ],\n            [\n              -113.37890625,\n              41.78769700539063\n            ],\n            [\n              -113.5986328125,\n              41.29431726315258\n            ],\n            [\n              -114.06005859375,\n              41.261291493919884\n            ],\n            [\n              -113.97216796875,\n              40.27952566881291\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-07-13","publicationStatus":"PW","scienceBaseUri":"505a0396e4b0c8380cd50561","contributors":{"authors":[{"text":"Larsen, R.T.","contributorId":6693,"corporation":false,"usgs":true,"family":"Larsen","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":458096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bissonette, John","contributorId":62914,"corporation":false,"usgs":true,"family":"Bissonette","given":"John","affiliations":[],"preferred":false,"id":458097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, J.T.","contributorId":43703,"corporation":false,"usgs":true,"family":"Flinders","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":458098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, A.C.","contributorId":70409,"corporation":false,"usgs":true,"family":"Robinson","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":458099,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034677,"text":"70034677 - 2011 - Cooling rates and the depth of detachment faulting at oceanic core complexes: Evidence from zircon Pb/U and (U-Th)/He ages","interactions":[],"lastModifiedDate":"2021-04-14T11:44:36.922306","indexId":"70034677","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Cooling rates and the depth of detachment faulting at oceanic core complexes: Evidence from zircon Pb/U and (U-Th)/He ages","docAbstract":"<p><span>Oceanic detachment faulting represents a distinct mode of seafloor spreading at slow spreading mid‐ocean ridges, but many questions persist about the thermal evolution and depth of faulting. We present new Pb/U and (U‐Th)/He zircon ages and combine them with magnetic anomaly ages to define the cooling histories of gabbroic crust exposed by oceanic detachment faults at three sites along the Mid‐Atlantic Ridge (Ocean Drilling Program (ODP) holes 1270D and 1275D near the 15°20′N Transform, and Atlantis Massif at 30°N). Closure temperatures for the Pb/U (∼800°C–850°C) and (U‐Th)/He (∼210°C) isotopic systems in zircon bracket acquisition of magnetic remanence, collectively providing a temperature‐time history during faulting. Results indicate cooling to ∼200°C in 0.3–0.5 Myr after zircon crystallization, recording time‐averaged cooling rates of ∼1000°C–2000°C/Myr. Assuming the footwalls were denuded along single continuous faults, differences in Pb/U and (U‐Th)/He zircon ages together with independently determined slip rates allow the distance between the ∼850°C and ∼200°C isotherms along the fault plane to be estimated. Calculated distances are 8.4 ± 4.2 km and 5.0 ± 2.1 km from holes 1275D and 1270D and 8.4 ± 1.4 km at Atlantis Massif. Estimating an initial subsurface fault dip of 50° and a depth of 1.5 km to the 200°C isotherm leads to the prediction that the ∼850°C isotherm lies ∼5–7 km below seafloor at the time of faulting. These depth estimates for active fault systems are consistent with depths of microseismicity observed beneath the hypothesized detachment fault at the TAG hydrothermal field and high‐temperature fault rocks recovered from many oceanic detachment faults.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GC003391","issn":"15252027","usgsCitation":"Grimes, C.B., Cheadle, M.J., John, B., Reiners, P., and Wooden, J.L., 2011, Cooling rates and the depth of detachment faulting at oceanic core complexes: Evidence from zircon Pb/U and (U-Th)/He ages: Geochemistry, Geophysics, Geosystems, v. 12, no. 3, Q0AG01, 27 p., https://doi.org/10.1029/2010GC003391.","productDescription":"Q0AG01, 27 p.","costCenters":[],"links":[{"id":475371,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gc003391","text":"Publisher Index Page"},{"id":243699,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-09","publicationStatus":"PW","scienceBaseUri":"5059fbe2e4b0c8380cd4e005","contributors":{"authors":[{"text":"Grimes, Craig B.","contributorId":68261,"corporation":false,"usgs":true,"family":"Grimes","given":"Craig","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":447007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheadle, Michael J.","contributorId":68945,"corporation":false,"usgs":true,"family":"Cheadle","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":447008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John, Barbara E.","contributorId":61833,"corporation":false,"usgs":true,"family":"John","given":"Barbara E.","affiliations":[],"preferred":false,"id":447006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reiners, P.W.","contributorId":34241,"corporation":false,"usgs":true,"family":"Reiners","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":447004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wooden, J. L.","contributorId":58678,"corporation":false,"usgs":true,"family":"Wooden","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":447005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032299,"text":"70032299 - 2011 - Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032299","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation","docAbstract":"Concept development simulation with distributed, physics-based models provides a quantitative approach for investigating runoff generation processes across environmental conditions. Disparities within data sets employed to design and parameterize boundary value problems used in heuristic simulation inevitably introduce various levels of bias. The objective was to evaluate the impact of boundary value problem complexity on process representation for different runoff generation mechanisms. The comprehensive physics-based hydrologic response model InHM has been employed to generate base case simulations for four well-characterized catchments. The C3 and CB catchments are located within steep, forested environments dominated by subsurface stormflow; the TW and R5 catchments are located in gently sloping rangeland environments dominated by Dunne and Horton overland flows. Observational details are well captured within all four of the base case simulations, but the characterization of soil depth, permeability, rainfall intensity, and evapotranspiration differs for each. These differences are investigated through the conversion of each base case into a reduced case scenario, all sharing the same level of complexity. Evaluation of how individual boundary value problem characteristics impact simulated runoff generation processes is facilitated by quantitative analysis of integrated and distributed responses at high spatial and temporal resolution. Generally, the base case reduction causes moderate changes in discharge and runoff patterns, with the dominant process remaining unchanged. Moderate differences between the base and reduced cases highlight the importance of detailed field observations for parameterizing and evaluating physics-based models. Overall, similarities between the base and reduced cases indicate that the simpler boundary value problems may be useful for concept development simulation to investigate fundamental controls on the spectrum of runoff generation mechanisms. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010WR009906","issn":"00431397","usgsCitation":"Mirus, B., Ebel, B., Heppner, C., and Loague, K., 2011, Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation: Water Resources Research, v. 47, no. 6, https://doi.org/10.1029/2010WR009906.","costCenters":[],"links":[{"id":475213,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009906","text":"Publisher Index Page"},{"id":215013,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR009906"},{"id":242778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-11","publicationStatus":"PW","scienceBaseUri":"5059ede8e4b0c8380cd49ac0","contributors":{"authors":[{"text":"Mirus, B.B.","contributorId":68128,"corporation":false,"usgs":true,"family":"Mirus","given":"B.B.","affiliations":[],"preferred":false,"id":435500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, B.A.","contributorId":87772,"corporation":false,"usgs":true,"family":"Ebel","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":435502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heppner, C.S.","contributorId":37147,"corporation":false,"usgs":true,"family":"Heppner","given":"C.S.","affiliations":[],"preferred":false,"id":435499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loague, K.","contributorId":77307,"corporation":false,"usgs":true,"family":"Loague","given":"K.","affiliations":[],"preferred":false,"id":435501,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036985,"text":"70036985 - 2011 - Modeling of hydroecological feedbacks predicts distinct classes of landscape pattern, process, and restoration potential in shallow aquatic ecosystems","interactions":[],"lastModifiedDate":"2017-05-03T13:37:14","indexId":"70036985","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling of hydroecological feedbacks predicts distinct classes of landscape pattern, process, and restoration potential in shallow aquatic ecosystems","docAbstract":"<p id=\"sp0075\">It is widely recognized that interactions between vegetation and flow cause the emergence of channel patterns that are distinct from the standard Schumm classification of river channels. Although landscape pattern is known to be linked to ecosystem services such as habitat provision, pollutant removal, and sustaining biodiversity, the mechanisms responsible for the development and stability of different landscape patterns in shallow, vegetated flows have remained poorly understood. Fortunately, recent advances have made possible large-scale models of flow through vegetated environments that can be run over a range of environmental variables and over timescales of millennia. We describe a new, quasi-3D cellular automata model that couples simulations of shallow-water flow, bed shear stresses, sediment transport, and vegetation dynamics in an efficient manner. That efficiency allowed us to apply the model widely in order to determine how different hydroecological feedbacks control landscape pattern and process in various types of wetlands and floodplains. Distinct classes of landscape pattern were uniquely associated with specific types of allogenic and autogenic drivers in wetland flows. Regular, anisotropically patterned wetlands were dominated by allogenic processes (i.e., processes driven by periodic high water levels and flow velocities that redistribute sediment), relative to autogenic processes (e.g., vegetation production, peat accretion, and gravitational erosion). These anistropically patterned wetlands are therefore particularly prone to hydrologic disturbance. Other classes of wetlands that emerged from simulated interactions included maze-patterned, amorphous, and topographically noisy marshes, open marsh with islands, banded string-pool sequences perpendicular to flow, parallel deep and narrow channels flanked by marsh, and ridge-and-slough patterned marsh oriented parallel to flow. Because vegetation both affects and responds to the balance between the transport capacity of the flow and sediment supply, these vegetated systems exhibit a feedback that is not dominant in most rivers. Consequently, unlike in most rivers, it is not possible to predict the &ldquo;channel pattern&rdquo; of a vegetated landscape based only on discharge characteristics and sediment supply; the antecedent vegetation pattern and vegetation dynamics must also be known.</p>\n<p id=\"sp0080\">In general, the stability of different wetland pattern types is most strongly related to factors controlling the erosion and deposition of sediment at vegetation patch edges, the magnitude of sediment redistribution by flow, patch elevation relative to water level, and the variability of erosion rates in vegetation patches with low flow-resistance. As we exemplify in our case-study of the Everglades ridge and slough landscape, feedback between flow and vegetation also causes hysteresis in landscape evolution trajectories that will affect the potential for landscape restoration. Namely, even if the hydrologic conditions that historically produced higher flows are restored, degraded portions of the ridge and slough landscape are unlikely to revert to their former patterning. As wetlands and floodplains worldwide become increasingly threatened by climate change and urbanization, the greater mechanistic understanding of landscape pattern and process that our analysis provides will improve our ability to forecast and manage the behavior of these ecosystems.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2010.03.015","issn":"0169555X","usgsCitation":"Larsen, L., and Harvey, J.W., 2011, Modeling of hydroecological feedbacks predicts distinct classes of landscape pattern, process, and restoration potential in shallow aquatic ecosystems: Geomorphology, v. 126, no. 3-4, p. 279-296, https://doi.org/10.1016/j.geomorph.2010.03.015.","productDescription":"18 p.","startPage":"279","endPage":"296","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014837","costCenters":[],"links":[{"id":245809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217837,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2010.03.015"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.50094604492186,\n              25.759082934951692\n            ],\n            [\n              -80.49957275390625,\n              25.684850188749582\n            ],\n            [\n              -80.54763793945311,\n              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,{"id":70035362,"text":"70035362 - 2011 - Effect of tidal fluctuations on transient dispersion of simulated contaminant concentrations in coastal aquifers","interactions":[],"lastModifiedDate":"2026-01-27T18:49:50.904694","indexId":"70035362","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of tidal fluctuations on transient dispersion of simulated contaminant concentrations in coastal aquifers","docAbstract":"<p>Variable-density groundwater models require extensive computational resources, particularly for simulations representing short-term hydrologic variability such as tidal fluctuations. Saltwater-intrusion models usually neglect tidal fluctuations and this may introduce errors in simulated concentrations. The effects of tides on simulated concentrations in a coastal aquifer were assessed. Three analyses are reported: in the first, simulations with and without tides were compared for three different dispersivity values. Tides do not significantly affect the transfer of a hypothetical contaminant into the ocean; however, the concentration difference between tidal and non-tidal simulations could be as much as 15%. In the second analysis, the dispersivity value for the model without tides was increased in a zone near the ocean boundary. By slightly increasing dispersivity in this zone, the maximum concentration difference between the simulations with and without tides was reduced to as low as 7%. In the last analysis, an apparent dispersivity value was calculated for each model cell using the simulated velocity variations from the model with tides. Use of apparent dispersivity values in models with a constant ocean boundary seems to provide a reasonable approach for approximating tidal effects in simulations where explicit representation of tidal fluctuations is not feasible.</p>","language":"English, French, Spanish","doi":"10.1007/s10040-011-0763-9","issn":"14312174","usgsCitation":"La Licata, I., Langevin, C.D., Dausman, A.M., and Alberti, L., 2011, Effect of tidal fluctuations on transient dispersion of simulated contaminant concentrations in coastal aquifers: Hydrogeology Journal, v. 19, no. 7, p. 1313-1322, https://doi.org/10.1007/s10040-011-0763-9.","productDescription":"10 p.","startPage":"1313","endPage":"1322","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":242940,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215161,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-011-0763-9"}],"volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-21","publicationStatus":"PW","scienceBaseUri":"505a0625e4b0c8380cd51108","contributors":{"authors":[{"text":"La Licata, Ivana","contributorId":15922,"corporation":false,"usgs":true,"family":"La Licata","given":"Ivana","email":"","affiliations":[],"preferred":false,"id":450334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":450332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dausman, Alyssa M. adausman@usgs.gov","contributorId":1545,"corporation":false,"usgs":true,"family":"Dausman","given":"Alyssa","email":"adausman@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":450335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alberti, Luca","contributorId":34817,"corporation":false,"usgs":true,"family":"Alberti","given":"Luca","email":"","affiliations":[],"preferred":false,"id":450333,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035363,"text":"70035363 - 2011 - Hunter perceptions and acceptance of alternative deer management regulations","interactions":[],"lastModifiedDate":"2021-02-24T20:05:46.728866","indexId":"70035363","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Hunter perceptions and acceptance of alternative deer management regulations","docAbstract":"<p><span>Wildlife managers are often confronted with a policy paradox where a majority of the public supports an outcome, but there is no agreement on specific management strategies to achieve this outcome. Previous research has also reported a link between regulatory acceptance, hunter satisfaction, and hunter participation rates. Thus, human dimensions research aimed at understanding hunter motivations and behavior is needed for effective management. In 2005, we surveyed Minnesota (USA) deer hunters (</span><i>n</i><span> = 6,000; 59% response) to evaluate attitudes regarding alternative deer (</span><i>Odocoileus virginianus</i><span>) harvest regulations. We also conducted a series of forced choice experiments in which respondents were asked to select an option from a list of representative regulations that might be adopted to achieve a particular deer management goal. Specifically, we modeled 5 deer population scenarios ranging from low populations with high buck‐harvest rates to populations 50% over goal density. Our results indicate that hunters preferred different regulations depending on the population scenario, but generally preferred antler‐point restrictions and disliked limiting buck licenses through a lottery. We also found consistency among scenarios, in that a small percentage of respondents indicated they would not hunt if regulations were changed. The results from this study should help wildlife managers design deer harvest regulations that are both acceptable to hunters and achieve management objectives</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.51","issn":"00917648","usgsCitation":"Cornicelli, L., Fulton, D.C., Grund, M., and Fieberg, J., 2011, Hunter perceptions and acceptance of alternative deer management regulations: Wildlife Society Bulletin, v. 35, no. 3, p. 323-329, https://doi.org/10.1002/wsb.51.","productDescription":"7 p.","startPage":"323","endPage":"329","costCenters":[],"links":[{"id":499959,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/827848207d4d4e6dae0abf50c8f540a7","text":"External Repository"},{"id":242941,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215162,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.51"}],"volume":"35","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-09-22","publicationStatus":"PW","scienceBaseUri":"505a328ee4b0c8380cd5e8dc","contributors":{"authors":[{"text":"Cornicelli, L.","contributorId":62851,"corporation":false,"usgs":true,"family":"Cornicelli","given":"L.","email":"","affiliations":[],"preferred":false,"id":450337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":450336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grund, M.D.","contributorId":92865,"corporation":false,"usgs":true,"family":"Grund","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":450338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fieberg, J.","contributorId":106070,"corporation":false,"usgs":true,"family":"Fieberg","given":"J.","affiliations":[],"preferred":false,"id":450339,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035524,"text":"70035524 - 2011 - Testing competing hypotheses for chronology and intensity of lesser scaup molt during winter and spring migration","interactions":[],"lastModifiedDate":"2021-02-23T21:04:59.861865","indexId":"70035524","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Testing competing hypotheses for chronology and intensity of lesser scaup molt during winter and spring migration","docAbstract":"<p><span>We examined chronology and intensity of molt and their relationships to nutrient reserves (lipid and protein) of Lesser Scaup (</span><i>Aythya affinis</i><span>) to test predictions of two competing hypotheses. The “staggered cost” hypothesis states that contour-feather molt is nutritionally costly and should not occur during nutritionally costly periods of the annual cycle unless adequate nutrients are available. The “breeding plumage” hypothesis states that prealternate molt must be complete prior to nesting, regardless of nutrient availability. Males and females were completing prebasic molt during winter (Louisiana) and had similar molt intensities. Females underwent prealternate molt during spring migration (Illinois and Minnesota) and prebreeding (Manitoba) periods; 53% and 93% of females were in moderate to heavy molt in Minnesota and Manitoba, respectively, despite experiencing other substantial nutritional costs. Intensity of prealternate molt was not correlated with lipid reserves even though females, on average, were nutritionally stressed. Molt intensity was not negatively correlated with protein reserves at any location. Chronology and intensity of prealternate molt varied little and were not temporally staggered from other nutritionally costly events. Prealternate molt did not influence nutrient reserves, and nutrient reserves likely were not the ultimate factor influencing chronology or intensity of prealternate molt of females. We surmise that nutrients required for prealternate molt come from exogenous sources and that the “staggered cost” hypothesis does not explain chronology of prealternate molt in female Lesser Scaup; rather, it appears that molt must be complete prior to nesting, consistent with the “breeding plumage” hypothesis.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1525/cond.2011.100055","issn":"00105422","usgsCitation":"Anteau, M.J., Anteau, A., and Afton, A.D., 2011, Testing competing hypotheses for chronology and intensity of lesser scaup molt during winter and spring migration: Condor, v. 113, no. 2, p. 298-305, https://doi.org/10.1525/cond.2011.100055.","productDescription":"8 p.","startPage":"298","endPage":"305","costCenters":[],"links":[{"id":487787,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100055","text":"Publisher Index Page"},{"id":243970,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216123,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2011.100055"}],"volume":"113","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba5c0e4b08c986b320c52","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":451075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, A.C.E.","contributorId":96098,"corporation":false,"usgs":true,"family":"Anteau","given":"A.C.E.","email":"","affiliations":[],"preferred":false,"id":451077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":451076,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036958,"text":"70036958 - 2011 - Monitoring carnivore populations at the landscape scale: occupancy modelling of tigers from sign surveys","interactions":[],"lastModifiedDate":"2014-07-29T10:31:46","indexId":"70036958","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring carnivore populations at the landscape scale: occupancy modelling of tigers from sign surveys","docAbstract":"<p>1. Assessing spatial distributions of threatened large carnivores at landscape scales poses formidable challenges because of their rarity and elusiveness. As a consequence of logistical constraints, investigators typically rely on sign surveys. Most survey methods, however, do not explicitly address the central problem of imperfect detections of animal signs in the field, leading to underestimates of true habitat occupancy and distribution.</p>\n<br/>\n<p>2. We assessed habitat occupancy for a tiger <i>Panthera tigris</i> metapopulation across a c. 38 000-km<sup>2</sup> landscape in India, employing a spatially replicated survey to explicitly address imperfect detections. Ecological predictions about tiger presence were confronted with sign detection data generated from occupancy sampling of 205 sites, each of 188 km<sup>2</sup>.</p>\n<br/>\n<p>3. A recent occupancy model that considers Markovian dependency among sign detections on spatial replicates performed better than the standard occupancy model (ΔAIC = 184·9). A formulation of this model that fitted the data best showed that density of ungulate prey and levels of human disturbance were key determinants of local tiger presence. Model averaging resulted in a replicate-level detection probability [inline image] = 0·17 (0·17) for signs and a tiger habitat occupancy estimate of [inline image] = 0·665 (0·0857) or 14 076 (1814) km2 of potential habitat of 21 167 km<sup>2</sup>. In contrast, a traditional presence-versus-absence approach underestimated occupancy by 47%. Maps of probabilities of local site occupancy clearly identified tiger source populations at higher densities and matched observed tiger density variations, suggesting their potential utility for population assessments at landscape scales.</p>\n<br/>\n<p>4. Synthesis and applications. Landscape-scale sign surveys can efficiently assess large carnivore spatial distributions and elucidate the factors governing their local presence, provided ecological and observation processes are both explicitly modelled. Occupancy sampling using spatial replicates can be used to reliably and efficiently identify tiger population sources and help monitor metapopulations. Our results reinforce earlier findings that prey depletion and human disturbance are key drivers of local tiger extinctions and tigers can persist even in human-dominated landscapes through effective protection of source populations. Our approach facilitates efficient targeting of tiger conservation interventions and, more generally, provides a basis for the reliable integration of large carnivore monitoring data between local and landscape scales.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Scientific Publications","publisherLocation":"Oxford, United Kingdom","doi":"10.1111/j.1365-2664.2011.02002.x","issn":"00218901","usgsCitation":"Karanth, K.U., Gopalaswamy, A., Kumar, N.S., Vaidyanathan, S., Nichols, J., and MacKenzie, D.I., 2011, Monitoring carnivore populations at the landscape scale: occupancy modelling of tigers from sign surveys: Journal of Applied Ecology, v. 48, no. 4, p. 1048-1056, https://doi.org/10.1111/j.1365-2664.2011.02002.x.","productDescription":"9 p.","startPage":"1048","endPage":"1056","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475282,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2011.02002.x","text":"Publisher Index Page"},{"id":245807,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217835,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2011.02002.x"}],"country":"India","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 72.01,10.83 ], [ 72.01,19.94 ], [ 79.91,19.94 ], [ 79.91,10.83 ], [ 72.01,10.83 ] ] ] } } ] }","volume":"48","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-11","publicationStatus":"PW","scienceBaseUri":"505a5d93e4b0c8380cd70481","contributors":{"authors":[{"text":"Karanth, Kota Ullas","contributorId":42815,"corporation":false,"usgs":true,"family":"Karanth","given":"Kota","email":"","middleInitial":"Ullas","affiliations":[],"preferred":false,"id":458667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gopalaswamy, Arjun M.","contributorId":12167,"corporation":false,"usgs":true,"family":"Gopalaswamy","given":"Arjun M.","affiliations":[],"preferred":false,"id":458665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Narayanarao Samba","contributorId":102307,"corporation":false,"usgs":true,"family":"Kumar","given":"Narayanarao","email":"","middleInitial":"Samba","affiliations":[],"preferred":false,"id":458669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaidyanathan, Srinivas","contributorId":15444,"corporation":false,"usgs":true,"family":"Vaidyanathan","given":"Srinivas","email":"","affiliations":[],"preferred":false,"id":458666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":458664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacKenzie, Darryl I.","contributorId":94436,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":458668,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70032297,"text":"70032297 - 2011 - Constraints on Lake Agassiz discharge through the late-glacial Champlain Sea (St. Lawrence Lowlands, Canada) using salinity proxies and an estuarine circulation model","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032297","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on Lake Agassiz discharge through the late-glacial Champlain Sea (St. Lawrence Lowlands, Canada) using salinity proxies and an estuarine circulation model","docAbstract":"During the last deglaciation, abrupt freshwater discharge events from proglacial lakes in North America, such as glacial Lake Agassiz, are believed to have drained into the North Atlantic Ocean, causing large shifts in climate by weakening the formation of North Atlantic Deep Water and decreasing ocean heat transport to high northern latitudes. These discharges were caused by changes in lake drainage outlets, but the duration, magnitude and routing of discharge events, factors which govern the climatic response to freshwater forcing, are poorly known. Abrupt discharges, called floods, are typically assumed to last months to a year, whereas more gradual discharges, called routing events, occur over centuries. Here we use estuarine modeling to evaluate freshwater discharge from Lake Agassiz and other North American proglacial lakes into the North Atlantic Ocean through the St. Lawrence estuary around 11.5 ka BP, the onset of the Preboreal oscillation (PBO). Faunal and isotopic proxy data from the Champlain Sea, a semi-isolated, marine-brackish water body that occupied the St. Lawrence and Champlain Valleys from 13 to 9 ka, indicate salinity fell about 7-8 (range of 4-11) around 11.5 ka. Model results suggest that minimum (1600 km3) and maximum (9500 km3) estimates of plausible flood volumes determined from Lake Agassiz paleoshorelines would produce the proxy-reconstructed salinity decrease if the floods lasted &lt;1 day to 5 months and 1 month to 2 years, respectively. In addition, Champlain Sea salinity responds very quickly to the initiation (within days) and cessation (within weeks) of flooding events. These results support the hypothesis that a glacial lake flood, rather than a sustained routing event, discharged through the St. Lawrence Estuary during the PBO. ?? 2011 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Science Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.quascirev.2011.08.006","issn":"02773791","usgsCitation":"Katz, B., Najjar, R., Cronin, T., Rayburn, J., and Mann, M.E., 2011, Constraints on Lake Agassiz discharge through the late-glacial Champlain Sea (St. Lawrence Lowlands, Canada) using salinity proxies and an estuarine circulation model: Quaternary Science Reviews, v. 30, no. 23-24, p. 3248-3257, https://doi.org/10.1016/j.quascirev.2011.08.006.","startPage":"3248","endPage":"3257","numberOfPages":"10","costCenters":[],"links":[{"id":214981,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2011.08.006"},{"id":242743,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"23-24","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fa0ae4b0c8380cd4d8c6","contributors":{"authors":[{"text":"Katz, Brian","contributorId":33484,"corporation":false,"usgs":true,"family":"Katz","given":"Brian","affiliations":[],"preferred":false,"id":435493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Najjar, R.G.","contributorId":30063,"corporation":false,"usgs":true,"family":"Najjar","given":"R.G.","affiliations":[],"preferred":false,"id":435492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, T.","contributorId":88061,"corporation":false,"usgs":true,"family":"Cronin","given":"T.","affiliations":[],"preferred":false,"id":435496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rayburn, J.","contributorId":42446,"corporation":false,"usgs":true,"family":"Rayburn","given":"J.","affiliations":[],"preferred":false,"id":435494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mann, M. E.","contributorId":48354,"corporation":false,"usgs":true,"family":"Mann","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435495,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035809,"text":"70035809 - 2011 - Magnitude and timing of downstream channel aggradation and degradation in response to a dome-building eruption at Mount Hood, Oregon","interactions":[],"lastModifiedDate":"2012-12-14T12:12:50","indexId":"70035809","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Magnitude and timing of downstream channel aggradation and degradation in response to a dome-building eruption at Mount Hood, Oregon","docAbstract":"A dome-building eruption at Mount Hood, Oregon, starting in A.D. 1781 and lasting until ca. 1793, produced dome-collapse lithic pyroclastic flows that triggered lahars and intermittently fed 10<sup>8</sup> m<sup>3</sup> of coarse volcaniclastic sediment to sediment reservoirs in headwater canyons of the Sandy River. Mobilization of dominantly sandy sediment from these reservoirs by lahars and seasonal floods initiated downstream migration of a sediment wave that resulted in a profound cycle of aggradation and degradation in the lowermost reach of the river (depositional reach), 61-87 km from the source. Stratigraphic and sedimentologic relations in the alluvial fill, together with dendrochronologic dating of degradation terraces, demonstrate that (1) channel aggradation in response to sediment loading in the headwater canyons raised the river bed in this reach at least 23 m in a decade or less; (2) the transition from aggradation to degradation in the upper part of this reach roughly coincided with the end of the dome-building eruption; (3) fluvial sediment transport and deposition, augmented by one lahar, achieved a minimum average aggradation rate of ~2 m/yr; (4) the degradation phase of the cycle was more prolonged than the aggradation phase, requiring more than half a century for the river to reach its present bed elevation; and (5) the present longitudinal profile of the Sandy River in this reach is at least 3 m above the pre-eruption profile. The pattern and rate of channel response and recovery in the Sandy River following heavy sediment loading resemble those of other rivers similarly subjected to very large sediment inputs. The magnitude of channel aggradation in the lower Sandy River, greater than that achieved at other volcanoes following much larger eruptions, was likely enhanced by lateral confinement of the channel within a narrow incised valley. A combination of at least one lahar and winter floods from frequent moderate-magnitude rainstorms and infrequent very large storms was responsible for flushing large volumes of sediment to the depositional reach. These conditions permitted a sedimentation response in the Sandy River that approached the magnitude of channel aggradation resulting elsewhere from large explosive eruptions and high-intensity rainfall regimes, despite the fact that the Sandy River aggradation was in response to an unremarkable dome-building eruption in a climate dominated by low to moderate rainfall intensities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GeoScienceWorld","publisherLocation":"Alexandria, VA","doi":"10.1130/B30127.1","issn":"00167606","usgsCitation":"Pierson, T.C., Pringle, P.T., and Cameron, K.A., 2011, Magnitude and timing of downstream channel aggradation and degradation in response to a dome-building eruption at Mount Hood, Oregon: Geological Society of America Bulletin, v. 123, no. 1-2, p. 3-20, https://doi.org/10.1130/B30127.1.","productDescription":"18 p.","startPage":"3","endPage":"20","numberOfPages":"18","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"links":[{"id":216405,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30127.1"},{"id":244274,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Mount Hood;Sandy River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 122.5,45.0 ], [ 122.5,46.0 ], [ 121.5,46.0 ], [ 121.5,45.0 ], [ 122.5,45.0 ] ] ] } } ] }","volume":"123","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2010-10-18","publicationStatus":"PW","scienceBaseUri":"505a4bede4b0c8380cd6988a","contributors":{"authors":[{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":452524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pringle, Patrick T.","contributorId":105744,"corporation":false,"usgs":true,"family":"Pringle","given":"Patrick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":452526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Kenneth A.","contributorId":9085,"corporation":false,"usgs":true,"family":"Cameron","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":452525,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036734,"text":"70036734 - 2011 - Integrating occupancy modeling and interview data for corridor identification: A case study for jaguars in Nicaragua","interactions":[],"lastModifiedDate":"2020-12-22T17:44:09.513973","indexId":"70036734","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Integrating occupancy modeling and interview data for corridor identification: A case study for jaguars in Nicaragua","docAbstract":"<p><span>Corridors are critical elements in the long-term conservation of wide-ranging species like the jaguar (</span><i>Panthera onca</i><span>). Jaguar corridors across the range of the species were initially identified using a GIS-based least-cost corridor model. However, due to inherent errors in remotely sensed data and model uncertainties, these corridors warrant field verification before conservation efforts can begin. We developed a novel corridor assessment protocol based on interview data and site occupancy modeling. We divided our pilot study area, in southeastern Nicaragua, into 71, 6</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><span>6</span><span>&nbsp;</span><span>km sampling units and conducted 160 structured interviews with local residents. Interviews were designed to collect data on jaguar and seven prey species so that detection/non-detection matrices could be constructed for each sampling unit. Jaguars were reportedly detected in 57% of the sampling units and had a detection probability of 28%. With the exception of white-lipped peccary, prey species were reportedly detected in 82–100% of the sampling units. Though the use of interview data may violate some assumptions of the occupancy modeling approach for determining ‘proportion of area occupied’, we countered these shortcomings through study design and interpreting the occupancy parameter, psi, as ‘probability of habitat used’. Probability of habitat use was modeled for each target species using single state or multistate models. A combination of the estimated probabilities of habitat use for jaguar and prey was selected to identify the final jaguar corridor. This protocol provides an efficient field methodology for identifying corridors for easily-identifiable species, across large study areas comprised of unprotected, private lands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2010.12.003","issn":"00063207","usgsCitation":"Zeller, K., Nijhawan, S., Salom-Perez, R., Potosme, S., and Hines, J.E., 2011, Integrating occupancy modeling and interview data for corridor identification: A case study for jaguars in Nicaragua: Biological Conservation, v. 144, no. 2, p. 892-901, https://doi.org/10.1016/j.biocon.2010.12.003.","productDescription":"10 p.","startPage":"892","endPage":"901","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":245519,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217566,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2010.12.003"}],"country":"Nicaragua","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.75976562499999,\n              11.953349393643416\n            ],\n            [\n              -83.43017578125,\n              11.964097286892557\n            ],\n            [\n              -83.408203125,\n              12.618897304044024\n            ],\n            [\n              -84.3255615234375,\n              12.592093524674375\n            ],\n            [\n              -84.2816162109375,\n              11.878102209376577\n            ],\n            [\n              -83.75976562499999,\n              11.953349393643416\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"144","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c7ee4b0c8380cd62da0","contributors":{"authors":[{"text":"Zeller, K.A.","contributorId":76580,"corporation":false,"usgs":true,"family":"Zeller","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":457570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nijhawan, S.","contributorId":107534,"corporation":false,"usgs":true,"family":"Nijhawan","given":"S.","email":"","affiliations":[],"preferred":false,"id":457571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salom-Perez, R.","contributorId":32380,"corporation":false,"usgs":true,"family":"Salom-Perez","given":"R.","email":"","affiliations":[],"preferred":false,"id":457567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potosme, S.H.","contributorId":68567,"corporation":false,"usgs":true,"family":"Potosme","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":457569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":457568,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034587,"text":"70034587 - 2011 - Modeling regional coral reef responses to global warming and changes in ocean chemistry: Caribbean case study","interactions":[],"lastModifiedDate":"2021-04-16T16:58:15.134754","indexId":"70034587","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling regional coral reef responses to global warming and changes in ocean chemistry: Caribbean case study","docAbstract":"<p><span>Climatic change threatens the future of coral reefs in the Caribbean and the important ecosystem services they provide. We used a simulation model [C</span><span class=\"u-small-caps\">OMBO</span><span>&nbsp;(“COral Mortality and Bleaching Output”)] to estimate future coral cover in the part of the eastern Caribbean impacted by a massive coral bleaching event in 2005. C</span><span class=\"u-small-caps\">OMBO</span><span>&nbsp;calculates impacts of future climate change on coral reefs by combining impacts from long-term changes in average sea surface temperature (SST) and ocean acidification with impacts from episodic high temperature mortality (bleaching) events. We used mortality and heat dose data from the 2005 bleaching event to select historic temperature datasets, to use as a baseline for running C</span><span class=\"u-small-caps\">OMBO</span><span>&nbsp;under different future climate scenarios and sets of assumptions. Results suggest a bleak future for coral reefs in the eastern Caribbean. For three different emissions scenarios from the Intergovernmental Panel on Climate Change (IPCC; B1, A1B, and A1FI), coral cover on most Caribbean reefs is projected to drop below 5% by the year 2035, if future mortality rates are equivalent to some of those observed in the 2005 event (50%). For a scenario where corals gain an additional 1–1.5°C of heat tolerance through a shift in the algae that live in the coral tissue, coral cover above 5% is prolonged until 2065. Additional impacts such as storms or anthropogenic damage could result in declines in coral cover even faster than those projected here. These results suggest the need to identify and preserve the locations that are likely to have a higher resiliency to bleaching to save as many remnant populations of corals as possible in the face of projected wide-spread coral loss.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10584-011-0022-z","issn":"01650009","usgsCitation":"Buddemeier, R., Lane, D., and Martinich, J., 2011, Modeling regional coral reef responses to global warming and changes in ocean chemistry: Caribbean case study: Climatic Change, v. 109, no. 3-4, p. 375-397, https://doi.org/10.1007/s10584-011-0022-z.","productDescription":"23 p.","startPage":"375","endPage":"397","costCenters":[],"links":[{"id":475447,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-011-0022-z","text":"Publisher Index Page"},{"id":243815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215976,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0022-z"}],"volume":"109","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2011-02-11","publicationStatus":"PW","scienceBaseUri":"505a5c21e4b0c8380cd6fa65","contributors":{"authors":[{"text":"Buddemeier, R. W.","contributorId":86492,"corporation":false,"usgs":true,"family":"Buddemeier","given":"R. W.","affiliations":[],"preferred":false,"id":446523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, D.R.","contributorId":76559,"corporation":false,"usgs":true,"family":"Lane","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":446522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martinich, J.A.","contributorId":103099,"corporation":false,"usgs":true,"family":"Martinich","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":446524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034584,"text":"70034584 - 2011 - Projected evolution of California's San Francisco bay-delta-river system in a century of climate change","interactions":[],"lastModifiedDate":"2020-01-11T12:15:17","indexId":"70034584","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Projected evolution of California's San Francisco bay-delta-river system in a century of climate change","docAbstract":"Background: Accumulating evidence shows that the planet is warming as a response to human emissions of greenhouse gases. Strategies of adaptation to climate change will require quantitative projections of how altered regional patterns of temperature, precipitation and sea level could cascade to provoke local impacts such as modified water supplies, increasing risks of coastal flooding, and growing challenges to sustainability of native species. Methodology/Principal Findings: We linked a series of models to investigate responses of California's San Francisco Estuary-Watershed (SFEW) system to two contrasting scenarios of climate change. Model outputs for scenarios of fast and moderate warming are presented as 2010-2099 projections of nine indicators of changing climate, hydrology and habitat quality. Trends of these indicators measure rates of: increasing air and water temperatures, salinity and sea level; decreasing precipitation, runoff, snowmelt contribution to runoff, and suspended sediment concentrations; and increasing frequency of extreme environmental conditions such as water temperatures and sea level beyond the ranges of historical observations. Conclusions/Significance: Most of these environmental indicators change substantially over the 21st century, and many would present challenges to natural and managed systems. Adaptations to these changes will require flexible planning to cope with growing risks to humans and the challenges of meeting demands for fresh water and sustaining native biota. Programs of ecosystem rehabilitation and biodiversity conservation in coastal landscapes will be most likely to meet their objectives if they are designed from considerations that include: (1) an integrated perspective that river-estuary systems are influenced by effects of climate change operating on both watersheds and oceans; (2) varying sensitivity among environmental indicators to the uncertainty of future climates; (3) inevitability of biological community changes as responses to cumulative effects of climate change and other drivers of habitat transformations; and (4) anticipation and adaptation to the growing probability of ecosystem regime shifts.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0024465","issn":"19326203","usgsCitation":"Cloern, J.E., Knowles, N., Brown, L.R., Cayan, D.R., Dettinger, M., Morgan, T., Schoellhamer, D., Stacey, M., Van der Wegen, M., Wagner, R., and Jassby, A.D., 2011, Projected evolution of California's San Francisco bay-delta-river system in a century of climate change: PLoS ONE, v. 6, no. 9, e24465, 13 p., https://doi.org/10.1371/journal.pone.0024465.","productDescription":"e24465, 13 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":487226,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0024465","text":"Publisher Index Page"},{"id":243755,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-21","publicationStatus":"PW","scienceBaseUri":"505a8ef7e4b0c8380cd7f4c9","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":446508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":446509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":446506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":146383,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","email":"mddettin@usgs.gov","affiliations":[],"preferred":false,"id":446513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Tara L. 0000-0001-5632-5232","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":29124,"corporation":false,"usgs":true,"family":"Morgan","given":"Tara L.","affiliations":[],"preferred":false,"id":446507,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stacey, Mark T.","contributorId":13367,"corporation":false,"usgs":true,"family":"Stacey","given":"Mark T.","affiliations":[],"preferred":false,"id":446511,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":446514,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, R.W.","contributorId":48784,"corporation":false,"usgs":true,"family":"Wagner","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":446505,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446504,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70036730,"text":"70036730 - 2011 - Are there pre-Quaternary geological analogues for a future greenhouse warming?","interactions":[],"lastModifiedDate":"2020-12-23T17:20:00.920518","indexId":"70036730","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Are there pre-Quaternary geological analogues for a future greenhouse warming?","docAbstract":"<p><span>Given the inherent uncertainties in predicting how climate and environments will respond to anthropogenic emissions of greenhouse gases, it would be beneficial to society if science could identify geological analogues to the human race’s current&nbsp;</span><i>grand climate experiment</i><span>. This has been a focus of the geological and palaeoclimate communities over the last 30 years, with many scientific papers claiming that intervals in Earth history can be used as an analogue for future climate change. Using a coupled ocean–atmosphere modelling approach, we test this assertion for the most probable pre-Quaternary candidates of the last 100 million years: the Mid- and Late Cretaceous, the Palaeocene–Eocene Thermal Maximum (PETM), the Early Eocene, as well as warm intervals within the Miocene and Pliocene epochs. These intervals fail as true direct analogues since they either represent equilibrium climate states to a long-term CO</span><sub>2</sub><span>&nbsp;forcing—whereas anthropogenic emissions of greenhouse gases provide a progressive (transient) forcing on climate—or the sensitivity of the climate system itself to CO</span><sub>2</sub><span>&nbsp;was different. While no close geological analogue exists, past warm intervals in Earth history provide a unique opportunity to investigate processes that operated during warm (high CO</span><sub>2</sub><span>) climate states. Palaeoclimate and environmental reconstruction/modelling are facilitating the assessment and calculation of the response of global temperatures to increasing CO</span><sub>2</sub><span>&nbsp;concentrations in the longer term (multiple centuries); this is now referred to as the Earth System Sensitivity, which is critical in identifying CO</span><sub>2</sub><span>&nbsp;thresholds in the atmosphere that must not be crossed to avoid dangerous levels of climate change in the long term. Palaeoclimatology also provides a unique and independent way to evaluate the qualities of climate and Earth system models used to predict future climate.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsta.2010.0317","issn":"1364503X","usgsCitation":"Haywood, A., Ridgwell, A., Lunt, D., Hill, D., Pound, M., Dowsett, H., Dolan, A., Francis, J., and Williams, M., 2011, Are there pre-Quaternary geological analogues for a future greenhouse warming?: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 369, no. 1938, p. 933-956, https://doi.org/10.1098/rsta.2010.0317.","productDescription":"24 p.","startPage":"933","endPage":"956","costCenters":[],"links":[{"id":475627,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2010.0317","text":"Publisher Index Page"},{"id":245459,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217508,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rsta.2010.0317"}],"volume":"369","issue":"1938","noUsgsAuthors":false,"publicationDate":"2011-03-13","publicationStatus":"PW","scienceBaseUri":"5059ed61e4b0c8380cd4979f","contributors":{"authors":[{"text":"Haywood, A.M.","contributorId":101050,"corporation":false,"usgs":true,"family":"Haywood","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":457560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ridgwell, A.","contributorId":93735,"corporation":false,"usgs":true,"family":"Ridgwell","given":"A.","affiliations":[],"preferred":false,"id":457558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunt, D.J.","contributorId":105127,"corporation":false,"usgs":true,"family":"Lunt","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":457562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, D.J.","contributorId":102291,"corporation":false,"usgs":true,"family":"Hill","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":457561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pound, M.J.","contributorId":41259,"corporation":false,"usgs":true,"family":"Pound","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":457555,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, H.J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":87924,"corporation":false,"usgs":true,"family":"Dowsett","given":"H.J.","affiliations":[],"preferred":false,"id":457557,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dolan, A.M.","contributorId":40818,"corporation":false,"usgs":true,"family":"Dolan","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":457554,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Francis, J.E.","contributorId":61249,"corporation":false,"usgs":true,"family":"Francis","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":457556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Murray","contributorId":100499,"corporation":false,"usgs":true,"family":"Williams","given":"Murray","email":"","affiliations":[],"preferred":false,"id":457559,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70042392,"text":"70042392 - 2011 - Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","interactions":[],"lastModifiedDate":"2020-01-13T06:34:57","indexId":"70042392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","docAbstract":"<p>Movement of dissolved inorganic carbon (DIC) through the hydrologic cycle is an important component of global carbon budgets, but there is considerable uncertainty about the controls of DIC transmission from landscapes to streams, and through river networks to the oceans. In this study, diel measurements of DIC, d13C-DIC, dissolved oxygen (O2), d18O-O2, alkalinity, pH, and other parameters were used to assess the relative magnitudes of biological and geochemical controls on DIC cycling and flux in a nutrient-rich, net autotrophic stream. Rates of photosynthesis (P), respiration (R), groundwater discharge, air–water exchange of CO2, and carbonate precipitation/dissolution were quantified through a time-stepping chemical/isotope (12C and 13C, 16O and 18O) mass balance model. Groundwater was the major source of DIC to the stream. Primary production and carbonate precipitation were equally important sinks for DIC removed from the water column. The stream was always super-saturated with respect to carbonate minerals, but carbonate precipitation occurred mainly during the day when P increased pH. We estimated more than half (possibly 90%) of the carbonate precipitated during the day was retained in the reach under steady baseflow conditions. The amount of DIC removed from the overlying water through carbonate precipitation was similar to the amount of DIC generated from R. Air–water exchange of CO2 was always from the stream to the atmosphere, but was the smallest component of the DIC budget. Overall, the in-stream DIC reactions reduced the amount of CO2 evasion and the downstream flux of groundwater-derived DIC by about half relative to a hypothetical scenario with groundwater discharge only. Other streams with similar characteristics are widely distributed in the major river basins of North America. Data from USGS water quality monitoring networks from the 1960s to the 1990s indicated that 40% of 652 stream monitoring stations in the contiguous USA were at or above the equilibrium saturation state for calcite, and 77% of all stations exhibited apparent increases in saturation state from the 1960/70s to the 1980/90s. Diel processes including partially irreversible carbonate precipitation may affect net carbon fluxes from many such watersheds.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2010.12.012","usgsCitation":"Tobias, C., and Bohlke, J., 2011, Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond: Chemical Geology, v. 283, no. 1-2, p. 18-30, https://doi.org/10.1016/j.chemgeo.2010.12.012.","productDescription":"13 p.","startPage":"18","endPage":"30","ipdsId":"IP-022716","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":265319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ],\n            [\n              -124.98046874999999,\n              46.07323062540835\n            ],\n            [\n              -125.68359374999999,\n              42.032974332441405\n            ],\n            [\n              -125.33203125,\n              39.232253141714885\n            ],\n            [\n              -122.87109375,\n              36.1733569352216\n            ],\n            [\n              -119.53125,\n              33.43144133557529\n            ],\n            [\n              -116.3671875,\n              32.69486597787505\n            ],\n            [\n              -111.4453125,\n              31.50362930577303\n            ],\n            [\n              -106.875,\n              31.653381399664\n            ],\n            [\n              -95.97656249999999,\n              25.005972656239187\n            ],\n            [\n              -95.625,\n              27.68352808378776\n            ],\n            [\n              -92.98828125,\n              29.38217507514529\n            ],\n            [\n              -88.59374999999999,\n              28.613459424004414\n            ],\n            [\n              -88.24218749999999,\n              29.84064389983441\n            ],\n            [\n              -84.90234375,\n              28.613459424004414\n            ],\n            [\n              -80.68359375,\n              24.046463999666567\n            ],\n            [\n              -79.1015625,\n              25.48295117535531\n            ],\n            [\n              -78.92578124999999,\n              30.751277776257812\n            ],\n            [\n              -76.46484375,\n              34.59704151614417\n            ],\n            [\n              -74.70703125,\n              37.020098201368114\n            ],\n            [\n              -73.30078125,\n              38.8225909761771\n            ],\n            [\n              -70.48828125,\n              40.84706035607122\n            ],\n            [\n              -67.5,\n              43.83452678223682\n            ],\n            [\n              -67.5,\n              47.27922900257082\n            ],\n            [\n              -69.78515625,\n              47.27922900257082\n            ],\n            [\n              -75.76171875,\n              45.82879925192134\n            ],\n            [\n              -81.73828125,\n              42.16340342422401\n            ],\n            [\n              -80.85937499999999,\n              45.089035564831036\n            ],\n            [\n              -84.19921875,\n              46.92025531537451\n            ],\n            [\n              -93.8671875,\n              49.38237278700955\n            ],\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebfc72e4b07f1501afcfc4","contributors":{"authors":[{"text":"Tobias, Craig","contributorId":90612,"corporation":false,"usgs":true,"family":"Tobias","given":"Craig","affiliations":[],"preferred":false,"id":471455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - 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