{"pageNumber":"1681","pageRowStart":"42000","pageSize":"25","recordCount":184582,"records":[{"id":70189204,"text":"70189204 - 2012 - MT3DMS: Model use, calibration, and validation","interactions":[],"lastModifiedDate":"2017-07-05T16:15:38","indexId":"70189204","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"MT3DMS: Model use, calibration, and validation","docAbstract":"<p><span>MT3DMS is a three-dimensional multi-species solute transport model for solving advection, dispersion, and chemical reactions of contaminants in saturated groundwater flow systems. MT3DMS interfaces directly with the U.S. Geological Survey finite-difference groundwater flow model MODFLOW for the flow solution and supports the hydrologic and discretization features of MODFLOW. MT3DMS contains multiple transport solution techniques in one code, which can often be important, including in model calibration. Since its first release in 1990 as MT3D for single-species mass transport modeling, MT3DMS has been widely used in research projects and practical field applications. This article provides a brief introduction to MT3DMS and presents recommendations about calibration and validation procedures for field applications of MT3DMS. The examples presented suggest the need to consider alternative processes as models are calibrated and suggest opportunities and difficulties associated with using groundwater age in transport model calibration.</span></p>","language":"English","publisher":"ASABE","doi":"10.13031/2013.42263","usgsCitation":"Zheng, C., Hill, M.C., Cao, G., and Ma, R., 2012, MT3DMS: Model use, calibration, and validation: Transactions of the ASABE, v. 55, no. 4, p. 1549-1559, https://doi.org/10.13031/2013.42263.","productDescription":"11 p.","startPage":"1549","endPage":"1559","ipdsId":"IP-040350","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfab9e4b0d1f9f056a7b6","contributors":{"authors":[{"text":"Zheng, C.","contributorId":39976,"corporation":false,"usgs":true,"family":"Zheng","given":"C.","email":"","affiliations":[],"preferred":false,"id":703498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cao, G.","contributorId":22970,"corporation":false,"usgs":true,"family":"Cao","given":"G.","email":"","affiliations":[],"preferred":false,"id":703500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ma, R.","contributorId":17458,"corporation":false,"usgs":true,"family":"Ma","given":"R.","email":"","affiliations":[],"preferred":false,"id":703501,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188363,"text":"70188363 - 2012 - ViscoSim Earthquake Simulator","interactions":[],"lastModifiedDate":"2017-06-07T11:43:45","indexId":"70188363","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"ViscoSim Earthquake Simulator","docAbstract":"<p><span>Synthetic seismicity simulations have been explored by the Southern California Earthquake Center (SCEC) Earthquake Simulators Group in order to guide long‐term forecasting efforts related to the Unified California Earthquake Rupture Forecast (</span><span class=\"xref-bibr\">Tullis <i>et&nbsp;al.</i>, 2012a</span><span>). In this study I describe the viscoelastic earthquake simulator (ViscoSim) of </span><span class=\"xref-bibr\">Pollitz, 2009</span><span>. Recapitulating to a large extent material previously presented by </span><span class=\"xref-bibr\">Pollitz (2009</span><span>, </span><span class=\"xref-bibr\">2011</span><span>) I describe its implementation of synthetic ruptures and how it differs from other simulators being used by the group.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220120050","usgsCitation":"Pollitz, F., 2012, ViscoSim Earthquake Simulator: Seismological Research Letters, v. 83, no. 6, p. 979-982, https://doi.org/10.1785/0220120050.","productDescription":"4 p.","startPage":"979","endPage":"982","ipdsId":"IP-039430","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-08","publicationStatus":"PW","scienceBaseUri":"593910b6e4b0764e6c5e8905","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697405,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186908,"text":"70186908 - 2012 - Geomorphic determinants of species composition of alpine tundra, Glacier National Park, U.S.A.","interactions":[],"lastModifiedDate":"2022-11-02T14:13:25.975559","indexId":"70186908","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic determinants of species composition of alpine tundra, Glacier National Park, U.S.A.","docAbstract":"<p><span>Because the distribution of alpine tundra is associated with spatially limited cold climates, global warming may threaten its local extent or existence. This notion has been challenged, however, based on observations of the diversity of alpine tundra in small areas primarily due to topographic variation. The importance of diversity in temperature or moisture conditions caused by topographic variation is an open question, and we extend this to geomorphology more generally. The extent to which geomorphic variation </span><i>per se</i><span>, based on relatively easily assessed indicators, can account for the variation in alpine tundra community composition is analyzed versus the inclusion of broad indicators of regional climate variation. Visual assessments of topography are quantified and reduced using principal components analysis (PCA). Observations of species cover are reduced using detrended correspondence analysis (DCA). A “best subsets” regression approach using the Akaike Information Criterion for selection of variables is compared to a simple stepwise regression with DCA scores as the dependent variable and scores on significant PCA axes plus more direct measures of topography as independent variables. Models with geographic coordinates (representing regional climate gradients) excluded explain almost as much variation in community composition as models with them included, although they are important contributors to the latter. The geomorphic variables in the model are those associated with local moisture differences such as snowbeds. The potential local variability of alpine tundra can be a buffer against climate change, but change in precipitation may be as important as change in temperature.</span></p>","language":"English","publisher":"Institute of Arctic, Antarctic, and Alpine Research","publisherLocation":"Boulder, CO","doi":"10.1657/1938-4246-44.2.197","usgsCitation":"George P. Malanson, Bengtson, L.E., and Fagre, D.B., 2012, Geomorphic determinants of species composition of alpine tundra, Glacier National Park, U.S.A.: Arctic, Antarctic, and Alpine Research, v. 44, no. 2, p. 197-209, https://doi.org/10.1657/1938-4246-44.2.197.","productDescription":"9 p.","startPage":"197","endPage":"209","ipdsId":"IP-033599","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":474643,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1657/1938-4246-44.2.197","text":"Publisher Index Page"},{"id":339710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": 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-113.61236572265624,\n              48.996438064932285\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-19","publicationStatus":"PW","scienceBaseUri":"58f08e63e4b06911a29fa862","contributors":{"authors":[{"text":"George P. Malanson","contributorId":127023,"corporation":false,"usgs":false,"family":"George P. Malanson","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":690969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bengtson, Lindsey E.","contributorId":28497,"corporation":false,"usgs":true,"family":"Bengtson","given":"Lindsey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":690970,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175695,"text":"70175695 - 2012 - Ecosystem restoration: Chapter 4","interactions":[],"lastModifiedDate":"2016-08-18T10:41:04","indexId":"70175695","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecosystem restoration: Chapter 4","docAbstract":"<p>The Department of the Interior extensively supports―through its mission, policy, programs, and funding― the study, planning, implementation, and monitoring of ecosystem restoration. This commitment is reflected in the Department's FY2011-2016 Strategic Plan.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Department of Interior's Economic Contributions, FY2011","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"U.S. Department of the Interior","publisherLocation":"Reston, VA","usgsCitation":"Cullinane Thomas, C., Skrabis, K., and Gascoigne, W., 2012, Ecosystem restoration: Chapter 4, 35 p.","productDescription":"35 p.","startPage":"58","endPage":"92","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":326800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326799,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.doi.gov/sites/doi.gov/files/uploads/2011-Econ-Report-FINAL-07_27_2012.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b6dc51e4b03fd6b7d94c2e","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine M. 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":5281,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine M.","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":646092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skrabis, K. E.","contributorId":173817,"corporation":false,"usgs":false,"family":"Skrabis","given":"K. E.","affiliations":[],"preferred":false,"id":646093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gascoigne, William gascoignew@usgs.gov","contributorId":4462,"corporation":false,"usgs":true,"family":"Gascoigne","given":"William","email":"gascoignew@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":646094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193349,"text":"70193349 - 2012 - Significance of a 3D Elevation Program to wetland mapping","interactions":[],"lastModifiedDate":"2017-11-20T13:41:34","indexId":"70193349","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2819,"text":"National Wetlands Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Significance of a 3D Elevation Program to wetland mapping","docAbstract":"<p class=\"article-title no-border\"><span>The recent National Enhanced Assessment conducted by the U.S. Geology Survey identified billions of dollars in potential annual benefits if a national-scale enhanced elevation data program was implemented. Given the importance of topography to wetlands, wetland mapping could benefit significantly from improved elevation data.&nbsp;</span></p>","language":"English","publisher":"Environmental Law Institute","usgsCitation":"Snyder, G., and Lang, M., 2012, Significance of a 3D Elevation Program to wetland mapping: National Wetlands Newsletter, v. 34, no. 5, p. 11-15.","productDescription":"5 p.","startPage":"11","endPage":"15","ipdsId":"IP-038909","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":349140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349139,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wetlandsnewsletter.org/articles/significance-3d-elevation-program-wetland-mapping"}],"volume":"34","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6105a0e4b06e28e9c25575","contributors":{"authors":[{"text":"Snyder, Gregory I. gsnyder@usgs.gov","contributorId":4069,"corporation":false,"usgs":true,"family":"Snyder","given":"Gregory I.","email":"gsnyder@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":722874,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176142,"text":"70176142 - 2012 - Assessment of two nonnative poeciliid fishes for monitoring selenium exposure in the endangered desert pupfish","interactions":[],"lastModifiedDate":"2017-05-03T13:15:48","indexId":"70176142","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of two nonnative poeciliid fishes for monitoring selenium exposure in the endangered desert pupfish","docAbstract":"<p><span>We assessed the suitability of two nonnative poeciliid fishes—western mosquitofish (</span><i class=\"EmphasisTypeItalic \">Gambusia affinis</i><span>) and sailfin mollies (</span><i class=\"EmphasisTypeItalic \">Poecilia latipinna</i><span>)—for monitoring selenium exposure in desert pupfish (</span><i class=\"EmphasisTypeItalic \">Cyprinodon macularius</i><span>). Our investigation was prompted by a need to avoid lethal take of an endangered species (pupfish) when sampling fish for chemical analysis. Total selenium (SeTot) concentrations in both poeciliids were highly correlated with SeTot concentrations in pupfish. However, mean SeTot concentrations varied among fish species, with higher concentrations measured in mosquitofish than in mollies and pupfish from one of three sampled agricultural drains. Moreover, regression equations describing the relationship of selenomethionine to SeTot differed between mosquitofish and pupfish, but not between mollies and pupfish. Because selenium accumulates in animals primarily through dietary exposure, we examined fish trophic relationships by measuring stable isotopes (</span><i class=\"EmphasisTypeItalic \">δ</i><sup>13</sup><span>C and </span><i class=\"EmphasisTypeItalic \">δ</i><sup>15</sup><span>N) and gut contents. According to </span><i class=\"EmphasisTypeItalic \">δ</i><sup>13</sup><span>C measurements, the trophic pathway leading to mosquitofish was more carbon-depleted than trophic pathways leading to mollies and pupfish, suggesting that energy flow to mosquitofish originated from allochthonous sources (terrestrial vegetation, emergent macrophytes, or both), whereas energy flow to mollies and pupfish originated from autochthonous sources (filamentous algae, submerged macrophytes, or both). The </span><i class=\"EmphasisTypeItalic \">δ</i><sup>15</sup><span>N measurements indicated that mosquitofish and mollies occupied similar trophic levels, whereas pupfish occupied a slightly higher trophic level. Analysis of gut contents showed that mosquitofish consumed mostly winged insects (an indication of terrestrial taxa), whereas mollies and pupfish consumed mostly organic detritus. Judging from our results, only mollies (not mosquitofish) are suitable for monitoring selenium exposure in pupfish.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s11270-011-0974-7","usgsCitation":"Saiki, M.K., Martin, B.A., May, T.W., and Brumbaugh, W.G., 2012, Assessment of two nonnative poeciliid fishes for monitoring selenium exposure in the endangered desert pupfish: Water, Air, & Soil Pollution, v. 223, no. 4, p. 1671-1683, https://doi.org/10.1007/s11270-011-0974-7.","productDescription":"13 p.","startPage":"1671","endPage":"1683","ipdsId":"IP-025710","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":328022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-10-06","publicationStatus":"PW","scienceBaseUri":"57c6ae9de4b0f2f0cebe4101","contributors":{"authors":[{"text":"Saiki, Michael K.","contributorId":54671,"corporation":false,"usgs":true,"family":"Saiki","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Barbara A. 0000-0002-9415-6377 barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":647451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":647452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":647453,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193298,"text":"70193298 - 2012 - A robust method to forecast volcanic ash clouds","interactions":[],"lastModifiedDate":"2017-10-31T15:39:48","indexId":"70193298","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"A robust method to forecast volcanic ash clouds","docAbstract":"<p><span>Ash clouds emanating from volcanic eruption columns often form trails of ash extending thousands of kilometers through the Earth's atmosphere, disrupting air traffic and posing a significant hazard to air travel. To mitigate such hazards, the community charged with reducing flight risk must accurately assess risk of ash ingestion for any flight path and provide robust forecasts of volcanic ash dispersal. In response to this need, a number of different transport models have been developed for this purpose and applied to recent eruptions, providing a means to assess uncertainty in forecasts. Here we provide a framework for optimal forecasts and their uncertainties given any model and any observational data. This involves random sampling of the probability distributions of input (source) parameters to a transport model and iteratively running the model with different inputs, each time assessing the predictions that the model makes about ash dispersal by direct comparison with satellite data. The results of these comparisons are embodied in a likelihood function whose maximum corresponds to the minimum misfit between model output and observations. Bayes theorem is then used to determine a normalized posterior probability distribution and from that a forecast of future uncertainty in ash dispersal. The nature of ash clouds in heterogeneous wind fields creates a strong maximum likelihood estimate in which most of the probability is localized to narrow ranges of model source parameters. This property is used here to accelerate probability assessment, producing a method to rapidly generate a prediction of future ash concentrations and their distribution based upon assimilation of satellite data as well as model and data uncertainties. Applying this method to the recent eruption of Eyjafjallajökull in Iceland, we show that the 3 and 6&nbsp;h forecasts of ash cloud location probability encompassed the location of observed satellite-determined ash cloud loads, providing an efficient means to assess all of the hazards associated with these ash clouds.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2012JD017732","usgsCitation":"Denlinger, R.P., Pavolonis, M.J., and Sieglaff, J., 2012, A robust method to forecast volcanic ash clouds: Journal of Geophysical Research D: Atmospheres, v. 117, no. D13, p. 1-10, https://doi.org/10.1029/2012JD017732.","productDescription":"D13208; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-035253","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012jd017732","text":"Publisher Index Page"},{"id":347920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"D13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-13","publicationStatus":"PW","scienceBaseUri":"59f98bc0e4b0531197afa05e","contributors":{"authors":[{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":718582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavolonis, Michael J.","contributorId":199297,"corporation":false,"usgs":false,"family":"Pavolonis","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":718584,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sieglaff, Justin","contributorId":199296,"corporation":false,"usgs":false,"family":"Sieglaff","given":"Justin","email":"","affiliations":[],"preferred":false,"id":718583,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70159028,"text":"70159028 - 2012 - Outlier reefs are found off the Florida Keys","interactions":[],"lastModifiedDate":"2023-11-27T16:15:25.747259","indexId":"70159028","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Outlier reefs are found off the Florida Keys","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tropical connections: South Florida's marine environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IAN Press","publisherLocation":"Cambridge, Md.","usgsCitation":"Lidz, B.H., 2012, Outlier reefs are found off the Florida Keys, chap. <i>of</i> Tropical connections: South Florida's marine environment, p. 197-198.","productDescription":"2 p.","startPage":"197","endPage":"198","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022298","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422969,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://ian.umces.edu/publications/tropical-connections-south-floridas-marine-environment/","linkFileType":{"id":5,"text":"html"}},{"id":309859,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys waters","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.255126953125,\n              25.477992320574817\n            ],\n            [\n              -80.61767578124999,\n              25.015928763367857\n            ],\n            [\n              -81.0406494140625,\n              24.856534339310674\n            ],\n            [\n              -81.49658203125,\n              24.826624956562167\n            ],\n            [\n              -81.8316650390625,\n              24.706915241066355\n            ],\n            [\n              -81.9580078125,\n              24.666986385216273\n            ],\n            [\n              -81.9854736328125,\n              24.48214938647425\n            ],\n            [\n              -81.9415283203125,\n              24.402135566630744\n            ],\n            [\n              -81.5185546875,\n              24.48214938647425\n            ],\n            [\n              -80.7989501953125,\n              24.652009767778697\n            ],\n            [\n              -80.386962890625,\n              24.956180020055925\n            ],\n            [\n              -80.068359375,\n              25.339061458818374\n            ],\n            [\n              -80.0738525390625,\n              25.507742380531404\n            ],\n            [\n              -80.17822265625,\n              25.582085278700696\n            ],\n            [\n              -80.255126953125,\n              25.562265014427492\n            ],\n            [\n              -80.277099609375,\n              25.438314122211384\n            ],\n            [\n              -80.255126953125,\n              25.477992320574817\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561e2b38e4b0cdb063e59ce3","contributors":{"editors":[{"text":"Kruczynski, William L.","contributorId":148974,"corporation":false,"usgs":false,"family":"Kruczynski","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":577310,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fletcher, Pamela J.","contributorId":148975,"corporation":false,"usgs":false,"family":"Fletcher","given":"Pamela","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577311,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lidz, Barbara H. blidz@usgs.gov","contributorId":2475,"corporation":false,"usgs":true,"family":"Lidz","given":"Barbara","email":"blidz@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":577309,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193553,"text":"70193553 - 2012 - Seawater capacitance – a promising proxy for mapping and characterizing drifting hydrocarbon plumes in the deep ocean","interactions":[],"lastModifiedDate":"2017-11-02T16:49:14","indexId":"70193553","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5537,"text":"Ocean Science","active":true,"publicationSubtype":{"id":10}},"title":"Seawater capacitance – a promising proxy for mapping and characterizing drifting hydrocarbon plumes in the deep ocean","docAbstract":"<p><span>Hydrocarbons released into the deep ocean are an inevitable consequence of natural seep, seafloor drilling, and leaking wellhead-to-collection-point pipelines. The Macondo 252 (Deepwater Horizon) well blowout of 2010 was even larger than the Ixtoc event in the Gulf of Campeche in 1979. History suggests it will not be the last accidental release, as deepwater drilling expands to meet an ever-growing demand. For those who must respond to this kind of disaster, the first line of action should be to know what is going on. This includes knowing where an oil plume is at any given time, where and how fast it is moving, and how it is evolving or degrading. We have experimented in the laboratory with induced polarization as a method to track hydrocarbons in the seawater column and find that finely dispersed oil in seawater gives rise to a large distributed capacitance. From previous sea trials, we infer this could potentially be used to both map and characterize oil plumes, down to a ratio of less than 0.001 oil-to-seawater, drifting and evolving in the deep ocean. A side benefit demonstrated in some earlier sea trials is that this same approach in modified form can also map certain heavy placer minerals, as well as communication cables, pipelines, and wrecks buried beneath the seafloor.</span></p>","language":"English","publisher":"EGU","doi":"10.5194/os-8-1099-2012","usgsCitation":"Wynn, J., and Fleming, J., 2012, Seawater capacitance – a promising proxy for mapping and characterizing drifting hydrocarbon plumes in the deep ocean: Ocean Science, v. 8, p. 1099-1104, https://doi.org/10.5194/os-8-1099-2012.","productDescription":"6 p.","startPage":"1099","endPage":"1104","ipdsId":"IP-036617","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/os-8-1099-2012","text":"Publisher Index Page"},{"id":348151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-18","publicationStatus":"PW","scienceBaseUri":"59fc2eb1e4b0531197b28028","contributors":{"authors":[{"text":"Wynn, Jeff 0000-0002-8102-3882 jwynn@usgs.gov","orcid":"https://orcid.org/0000-0002-8102-3882","contributorId":2803,"corporation":false,"usgs":true,"family":"Wynn","given":"Jeff","email":"jwynn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, John A.","contributorId":199522,"corporation":false,"usgs":false,"family":"Fleming","given":"John A.","affiliations":[],"preferred":false,"id":719348,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70176229,"text":"70176229 - 2012 - Definition of Greater Gulf Basin Lower Cretaceous and Upper Cretaceous lower Cenomanian Shale Gas Assessment Unit, United States Gulf of Mexico basin onshore and state waters","interactions":[],"lastModifiedDate":"2018-07-31T11:24:49","indexId":"70176229","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3365,"text":"Search and Discovery","active":true,"publicationSubtype":{"id":10}},"title":"Definition of Greater Gulf Basin Lower Cretaceous and Upper Cretaceous lower Cenomanian Shale Gas Assessment Unit, United States Gulf of Mexico basin onshore and state waters","docAbstract":"<p>An assessment unit (AU) for undiscovered continuous “shale” gas in Lower Cretaceous (Aptian and Albian) and basal Upper Cretaceous (lower Cenomanian) rocks in the USA onshore Gulf of Mexico coastal plain recently was defined by the U.S. Geological Survey (USGS). The AU is part of the Upper Jurassic-Cretaceous-Tertiary Composite Total Petroleum System (TPS) of the Gulf of Mexico Basin. Definition of the AU was conducted as part of the 2010 USGS assessment of undiscovered hydrocarbon resources in Gulf Coast Mesozoic stratigraphic intervals. The purpose of defining the Greater Gulf Basin Lower Cretaceous Shale Gas AU was to propose a hypothetical AU in the Cretaceous part of the Gulf Coast TPS in which there might be continuous “shale” gas, but the AU was not quantitatively assessed by the USGS in 2010. </p>","language":"English","publisher":"AAPG","usgsCitation":"Dennen, K., and Hackley, P.C., 2012, Definition of Greater Gulf Basin Lower Cretaceous and Upper Cretaceous lower Cenomanian Shale Gas Assessment Unit, United States Gulf of Mexico basin onshore and state waters: Search and Discovery, Article #10429: 37 p.","productDescription":"Article #10429: 37 p.","ipdsId":"IP-033164","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356057,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.searchanddiscovery.com/"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cfe8b1e4b04836416a0d4b","contributors":{"authors":[{"text":"Dennen, Kristin O.","contributorId":61437,"corporation":false,"usgs":true,"family":"Dennen","given":"Kristin O.","affiliations":[],"preferred":false,"id":647917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032248,"text":"70032248 - 2012 - Magnetostratigraphy of the Neogene Chaka basin and its implications for mountain building processes in the north-eastern Tibetan Plateau","interactions":[],"lastModifiedDate":"2020-12-03T21:46:55.573882","indexId":"70032248","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Magnetostratigraphy of the Neogene Chaka basin and its implications for mountain building processes in the north-eastern Tibetan Plateau","docAbstract":"<p><span>Magnetostratigraphy of sedimentary rock deposited in the Chaka basin (north‐eastern Tibetan Plateau) indicates a late Miocene onset of basin formation and subsequent development of the adjacent Qinghai Nan Shan. Sedimentation in the basin initiated at ∼11 Ma. In the lower part of the basin fill, a coarsening‐upward sequence starting at ∼9 Ma, as well as rapid sedimentation rates, and northward paleocurrents, are consistent with continued growth of the Ela Shan to the south. In the upper section, several lines of evidence suggest that thrust faulting and topographic development of the Qinghai Nan Shan began at ∼6.1 Ma. Paleocurrent indicators, preserved in the basin in the proximal footwall of the Qinghai Nan Shan, show a change from northward to southward flow between 6.5 and 3.8 Ma. At the same location, sediment derived from the Qinghai Nan Shan appears at 6.1 Ma. Finally, the initiation of progressively shallowing dips observed in deformed basin strata and a change to pebbly, fluvial deposits at 6.1 Ma provide a minimum age for the onset of slip on the thrust fault that dips north‐east beneath the Qinghai Nan Shan. We interpret a decrease in sediment accumulation rates since ∼6 Ma to indicate a reduction in Chaka basin accommodation space due to active faulting and folding along the Qinghai Nan Shan and incorporation of the basin into the wedge‐top depozone. Declination anomalies indicate the beginning of counter‐clockwise rotation since 6.1 Ma, which we associate with local deformation, not regional block rotation. The emergence of the Qinghai Nan Shan near the end of the Miocene Epoch partitioned the once contiguous Chaka‐Gonghe and Qinghai basin complex. In a regional framework, our study adds to a growing body of evidence that points to widespread initiation and/or reactivation of fault networks during the late Miocene across the north‐eastern Tibetan Plateau.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2117.2011.00512.x","issn":"0950091X","usgsCitation":"Zhang, H., Craddock, W., Lease, R.O., Wang, W., Yuan, D., Zhang, P., Molnar, P., Zheng, D., and Zheng, W., 2012, Magnetostratigraphy of the Neogene Chaka basin and its implications for mountain building processes in the north-eastern Tibetan Plateau: Basin Research, v. 24, no. 1, p. 31-50, https://doi.org/10.1111/j.1365-2117.2011.00512.x.","productDescription":"20 p.","startPage":"31","endPage":"50","costCenters":[],"links":[{"id":474624,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2117.2011.00512.x","text":"Publisher Index Page"},{"id":242373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214631,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2117.2011.00512.x"}],"country":"China","otherGeospatial":"Chaka basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              96.85546875,\n              32.69486597787505\n            ],\n            [\n              106.25976562499999,\n              32.69486597787505\n            ],\n            [\n              106.25976562499999,\n              38.8225909761771\n            ],\n            [\n              96.85546875,\n              38.8225909761771\n            ],\n            [\n              96.85546875,\n              32.69486597787505\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-26","publicationStatus":"PW","scienceBaseUri":"505a4ba3e4b0c8380cd696b7","contributors":{"authors":[{"text":"Zhang, H.-P.","contributorId":47598,"corporation":false,"usgs":true,"family":"Zhang","given":"H.-P.","email":"","affiliations":[],"preferred":false,"id":435234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craddock, W.H. 0000-0002-4181-4735","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":45127,"corporation":false,"usgs":true,"family":"Craddock","given":"W.H.","affiliations":[],"preferred":false,"id":435233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":435238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, W.-T.","contributorId":88166,"corporation":false,"usgs":true,"family":"Wang","given":"W.-T.","email":"","affiliations":[],"preferred":false,"id":435237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yuan, D.-Y.","contributorId":73427,"corporation":false,"usgs":true,"family":"Yuan","given":"D.-Y.","email":"","affiliations":[],"preferred":false,"id":435236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, P.-Z.","contributorId":47599,"corporation":false,"usgs":true,"family":"Zhang","given":"P.-Z.","affiliations":[],"preferred":false,"id":435235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Molnar, P.","contributorId":35075,"corporation":false,"usgs":true,"family":"Molnar","given":"P.","affiliations":[],"preferred":false,"id":435231,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zheng, D.-W.","contributorId":36769,"corporation":false,"usgs":true,"family":"Zheng","given":"D.-W.","email":"","affiliations":[],"preferred":false,"id":435232,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zheng, W.-J.","contributorId":20561,"corporation":false,"usgs":true,"family":"Zheng","given":"W.-J.","email":"","affiliations":[],"preferred":false,"id":435230,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192319,"text":"70192319 - 2012 - Have recent earthquakes exposed flaws in or misunderstandings of probabilistic seismic hazard analysis?","interactions":[],"lastModifiedDate":"2017-10-24T15:38:31","indexId":"70192319","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Have recent earthquakes exposed flaws in or misunderstandings of probabilistic seismic hazard analysis?","docAbstract":"<p>In a recent Opinion piece in these pages, Stein et al. (2011) offer a remarkable indictment of the methods, models, and results of probabilistic seismic hazard analysis (PSHA). The principal object of their concern is the PSHA map for Japan released by the Japan Headquarters for Earthquake Research Promotion (HERP), which is reproduced by Stein et al. (2011) as their Figure 1 and also here as our Figure 1. It shows the probability of exceedance (also referred to as the “hazard”) of the Japan Meteorological Agency (JMA) intensity 6–lower (JMA 6–) in Japan for the 30-year period beginning in January 2010. JMA 6– is an earthquake-damage intensity measure that is associated with fairly strong ground motion that can be damaging to well-built structures and is potentially destructive to poor construction (HERP, 2005, appendix 5). Reiterating Geller (2011, p. 408), Stein et al. (2011, p. 623) have this to say about Figure 1: </p><p>The regions assessed as most dangerous are the zones of three hypothetical “scenario earthquakes” (Tokai, Tonankai, and Nankai; see map). However, since 1979, earthquakes that caused 10 or more fatalities in Japan actually occurred in places assigned a relatively low probability. This discrepancy—the latest in a string of negative results for the characteristic model and its cousin the seismic-gap model—strongly suggest that the hazard map and the methods used to produce it are flawed and should be discarded. </p><p>Given the central role that PSHA now plays in seismic risk analysis, performance-based engineering, and design-basis ground motions, discarding PSHA would have important consequences. We are not persuaded by the arguments of Geller (2011) and Stein et al. (2011) for doing so because important misunderstandings about PSHA seem to have conditioned them. In the quotation above, for example, they have confused important differences between earthquake-occurrence observations and ground-motion hazard calculations.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220120043","usgsCitation":"Hanks, T.C., Beroza, G.C., and Toda, S., 2012, Have recent earthquakes exposed flaws in or misunderstandings of probabilistic seismic hazard analysis?: Seismological Research Letters, v. 83, no. 5, p. 759-764, https://doi.org/10.1785/0220120043.","productDescription":"6 p.","startPage":"759","endPage":"764","ipdsId":"IP-036939","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-09-06","publicationStatus":"PW","scienceBaseUri":"59f05125e4b0220bbd9a1dc6","contributors":{"authors":[{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":715290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":715292,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70192533,"text":"70192533 - 2012 - Use of occupancy models to evaluate expert knowledge-based species-habitat relationships","interactions":[],"lastModifiedDate":"2018-12-21T13:06:14","indexId":"70192533","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Use of occupancy models to evaluate expert knowledge-based species-habitat relationships","docAbstract":"<p><span>Expert knowledge-based species-habitat relationships are used extensively to guide conservation planning, particularly when data are scarce. Purported relationships describe the initial state of knowledge, but are rarely tested. We assessed support in the data for suitability rankings of vegetation types based on expert knowledge for three terrestrial avian species in the South Atlantic Coastal Plain of the United States. Experts used published studies, natural history, survey data, and field experience to rank vegetation types as optimal, suitable, and marginal. We used single-season occupancy models, coupled with land cover and Breeding Bird Survey data, to examine the hypothesis that patterns of occupancy conformed to species-habitat suitability rankings purported by experts. Purported habitat suitability was validated for two of three species. As predicted for the Eastern Wood-Pewee (</span><i>Contopus virens</i><span>) and Brown-headed Nuthatch (</span><i>Sitta pusilla</i><span>), occupancy was strongly influenced by vegetation types classified as “optimal habitat” by the species suitability rankings for nuthatches and wood-pewees. Contrary to predictions, Red-headed Woodpecker (</span><i>Melanerpes erythrocephalus</i><span>) models that included vegetation types as covariates received similar support by the data as models without vegetation types. For all three species, occupancy was also related to sampling latitude. Our results suggest that covariates representing other habitat requirements might be necessary to model occurrence of generalist species like the woodpecker. The modeling approach described herein provides a means to test expert knowledge-based species-habitat relationships, and hence, help guide conservation planning.</span></p>","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-00551-070205","usgsCitation":"Iglecia, M.N., Collazo, J., and McKerrow, A., 2012, Use of occupancy models to evaluate expert knowledge-based species-habitat relationships: Avian Conservation and Ecology, v. 7, no. 2, p. 1-13, https://doi.org/10.5751/ACE-00551-070205.","productDescription":"Article 5; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-029469","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":474667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-00551-070205","text":"Publisher Index Page"},{"id":349461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6105a0e4b06e28e9c25585","contributors":{"authors":[{"text":"Iglecia, Monica N.","contributorId":200933,"corporation":false,"usgs":false,"family":"Iglecia","given":"Monica","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":723848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":716133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":723849,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70135108,"text":"70135108 - 2012 - Genetic and morphological divergence among Cooper's Hawk (<i>Accipiter cooperii</i>) populations breeding in north-central and western North America","interactions":[],"lastModifiedDate":"2018-08-20T18:12:24","indexId":"70135108","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and morphological divergence among Cooper's Hawk (<i>Accipiter cooperii</i>) populations breeding in north-central and western North America","docAbstract":"<p><span>Cooper's Hawk (</span><i>Accipiter cooperii</i><span>) populations breeding in the northern portion of the species' range exhibit variation in morphological traits that conforms to predictions based on differences in prey size, tree stand density, and migratory behavior. We examined genetic structure and gene flow and compared divergence at morphological traits (</span><i>P</i><span>ST) and genetic markers (</span><i>F</i><span>ST) to elucidate mechanisms (selection or genetic drift) that promote morphological diversification among Cooper's Hawk populations. Cooper's Hawks appear to conform to the genetic pattern of an east-west divide. Populations in British Columbia are genetically differentiated from north-central populations (Wisconsin, Minnesota, and North Dakota; pairwise microsatellite&nbsp;</span><i>F</i><span>ST= 0.031-0.050; mitochondrial DNA &Phi;</span><sub>ST</sub><span>&nbsp;= 0.177-0.204), which suggests that Cooper's Hawks were restricted to at least two Pleistocene glacial refugia. The strength of the Rocky Mountains&mdash;Great Plains area as a barrier to dispersal is further supported by restricted gene-flow rates between British Columbia and other sampled breeding populations. Divergence in morphological traits (</span><i>P</i><span>ST) was also observed across study areas, but with British Columbia and North Dakota differentiated from Wisconsin and Minnesota, a pattern not predicted on the basis of&nbsp;</span><i>F<sub>ST</sub>&nbsp;</i><span>and &Phi;</span><sub>ST</sub><span>&nbsp;interpopulation estimates. Comparison of&nbsp;</span><i>P</i><span>STand&nbsp;</span><i>F</i><span>STestimates suggests that heterogeneous selection may be acting on Cooper's Hawks in the northern portion of their distribution, which is consistent with hypotheses that variation in prey mass and migratory behavior among populations may be influencing overall body size and wing chord. We were unable to distinguish between the effects of genetic drift and selection on tail length in the study populations.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2012.11166","usgsCitation":"Sonsthagen, S.A., Rosenfield, R.N., Bielefeldt, J., Murphy, R.K., Stewart, A.C., Stout, W., Driscoll, T.G., Bozek, M.A., Sloss, B.L., and Talbot, S.L., 2012, Genetic and morphological divergence among Cooper's Hawk (<i>Accipiter cooperii</i>) populations breeding in north-central and western North America: The Auk, v. 129, no. 3, p. 427-43, https://doi.org/10.1525/auk.2012.11166.","productDescription":"11 p.","startPage":"427","endPage":"43","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031315","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":474718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2012.11166","text":"Publisher Index Page"},{"id":296592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"129","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54897cb9e4b027aeab781294","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenfield, Robert N.","contributorId":94013,"corporation":false,"usgs":false,"family":"Rosenfield","given":"Robert","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":526936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bielefeldt, John","contributorId":127819,"corporation":false,"usgs":false,"family":"Bielefeldt","given":"John","email":"","affiliations":[],"preferred":false,"id":526937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Robert K.","contributorId":67643,"corporation":false,"usgs":false,"family":"Murphy","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":56253,"text":"Eagle Environmental, Inc","active":true,"usgs":false}],"preferred":false,"id":526938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Andrew C.","contributorId":127820,"corporation":false,"usgs":false,"family":"Stewart","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":526939,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stout, William C.","contributorId":56756,"corporation":false,"usgs":false,"family":"Stout","given":"William C.","affiliations":[],"preferred":false,"id":526940,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Driscoll, Timothy G.","contributorId":42027,"corporation":false,"usgs":false,"family":"Driscoll","given":"Timothy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":526941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bozek, Michael A.","contributorId":51030,"corporation":false,"usgs":true,"family":"Bozek","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":526942,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":526943,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526944,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70045186,"text":"70045186 - 2012 - Solar thematic maps for space weather operations","interactions":[],"lastModifiedDate":"2013-06-17T16:20:19","indexId":"70045186","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Solar thematic maps for space weather operations","docAbstract":"Thematic maps are arrays of labels, or \"themes\", associated with discrete locations in space and time. Borrowing heavily from the terrestrial remote sensing discipline, a numerical technique based on Bayes' theorem captures operational expertise in the form of trained theme statistics, then uses this to automatically assign labels to solar image pixels. Ultimately, regular thematic maps of the solar corona will be generated from high-cadence, high-resolution SUVI images, the solar ultraviolet imager slated to fly on NOAA's next-generation GOES-R series of satellites starting ~2016. These thematic maps will not only provide quicker, more consistent synoptic views of the sun for space weather forecasters, but digital thematic pixel masks (e.g., coronal hole, active region, flare, etc.), necessary for a new generation of operational solar data products, will be generated. This paper presents the mathematical underpinnings of our thematic mapper, as well as some practical algorithmic considerations. Then, using images from the Solar Dynamics Observatory (SDO) Advanced Imaging Array (AIA) as test data, it presents results from validation experiments designed to ascertain the robustness of the technique with respect to differing expert opinions and changing solar conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Space Weather","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012SW000780","usgsCitation":"Rigler, E.J., Hill, S.M., Reinard, A.A., and Steenburgh, R.A., 2012, Solar thematic maps for space weather operations: Space Weather, v. 10, S08009, 16 p., https://doi.org/10.1029/2012SW000780.","productDescription":"S08009, 16 p.","ipdsId":"IP-039253","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012sw000780","text":"Publisher Index Page"},{"id":273870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273869,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012SW000780"}],"country":"United States","volume":"10","noUsgsAuthors":false,"publicationDate":"2012-08-25","publicationStatus":"PW","scienceBaseUri":"51c02ff6e4b0ee1529ed3d60","contributors":{"authors":[{"text":"Rigler, E. Joshua","contributorId":64533,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":476996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Steven M.","contributorId":24263,"corporation":false,"usgs":true,"family":"Hill","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reinard, Alysha A.","contributorId":69873,"corporation":false,"usgs":true,"family":"Reinard","given":"Alysha","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steenburgh, Robert A.","contributorId":7165,"corporation":false,"usgs":true,"family":"Steenburgh","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476994,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046687,"text":"70046687 - 2012 - Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for September 2004","interactions":[],"lastModifiedDate":"2013-06-25T11:13:31","indexId":"70046687","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for September 2004","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046687","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for September 2004, Dataset, https://doi.org/10.3133/70046687.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274141,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mosaic_et_september2004_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.425204,41.972926 ], [ -123.425204,43.490807 ], [ -120.483416,43.490807 ], [ -120.483416,41.972926 ], [ -123.425204,41.972926 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cabbe3e4b0d298e5434c56","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535558,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046680,"text":"70046680 - 2012 - Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for October 2004","interactions":[],"lastModifiedDate":"2013-06-24T14:13:10","indexId":"70046680","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for October 2004","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046680","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Klamath Basin Restoration Agreement Off-Project Water Program Evapotranspiration Map for October 2004, Dataset, https://doi.org/10.3133/70046680.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274120,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mosaic_et_october2004_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.425204,41.972926 ], [ -123.425204,43.490807 ], [ -120.483416,43.490807 ], [ -120.483416,41.972926 ], [ -123.425204,41.972926 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a66e4b0a50a6e8f57ff","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535556,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045211,"text":"70045211 - 2012 - Results of the first North American comparison of absolute gravimeters, NACAG-2010","interactions":[],"lastModifiedDate":"2013-05-07T11:54:22","indexId":"70045211","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2303,"text":"Journal of Geodesy","active":true,"publicationSubtype":{"id":10}},"title":"Results of the first North American comparison of absolute gravimeters, NACAG-2010","docAbstract":"The first North American Comparison of absolute gravimeters (NACAG-2010) was hosted by the National Oceanic and Atmospheric Administration at its newly renovated Table Mountain Geophysical Observatory (TMGO) north of Boulder, Colorado, in October 2010. NACAG-2010 and the renovation of TMGO are part of NGS’s GRAV-D project (Gravity for the Redefinition of the American Vertical Datum). Nine absolute gravimeters from three countries participated in the comparison. Before the comparison, the gravimeter operators agreed to a protocol describing the strategy to measure, calculate, and present the results. Nine sites were used to measure the free-fall acceleration of g. Each gravimeter measured the value of g at a subset of three of the sites, for a total set of 27 g-values for the comparison. The absolute gravimeters agree with one another with a standard deviation of 1.6 µGal (1 Gal = 1 cm s-2). The minimum and maximum offsets are -2.8 and 2.7 µGal. This is an excellent agreement and can be attributed to multiple factors, including gravimeters that were in good working order, good operators, a quiet observatory, and a short duration time for the experiment. These results can be used to standardize gravity surveys internationally.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geodesy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00190-011-0539-y","usgsCitation":"Schmerge, D., Francis, O., Henton, J., Ingles, D., Jones, D., Kennedy, J.R., Krauterbluth, K., Liard, J., Newell, D., Sands, R., Schiel, J., Silliker, J., and van Westrum, D., 2012, Results of the first North American comparison of absolute gravimeters, NACAG-2010: Journal of Geodesy, v. 86, no. 8, p. 591-596, https://doi.org/10.1007/s00190-011-0539-y.","productDescription":"6 p.","startPage":"591","endPage":"596","numberOfPages":"6","additionalOnlineFiles":"N","ipdsId":"IP-034910","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":271961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271960,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00190-011-0539-y"}],"volume":"86","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-01-07","publicationStatus":"PW","scienceBaseUri":"518a2279e4b061e1bd5334a7","contributors":{"authors":[{"text":"Schmerge, David","contributorId":78228,"corporation":false,"usgs":true,"family":"Schmerge","given":"David","affiliations":[],"preferred":false,"id":477036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Francis, Olvier","contributorId":93367,"corporation":false,"usgs":true,"family":"Francis","given":"Olvier","email":"","affiliations":[],"preferred":false,"id":477038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henton, J.","contributorId":85072,"corporation":false,"usgs":true,"family":"Henton","given":"J.","email":"","affiliations":[],"preferred":false,"id":477037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingles, D.","contributorId":64140,"corporation":false,"usgs":true,"family":"Ingles","given":"D.","email":"","affiliations":[],"preferred":false,"id":477032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, D.","contributorId":16578,"corporation":false,"usgs":true,"family":"Jones","given":"D.","affiliations":[],"preferred":false,"id":477030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krauterbluth, K.","contributorId":67791,"corporation":false,"usgs":true,"family":"Krauterbluth","given":"K.","email":"","affiliations":[],"preferred":false,"id":477033,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liard, J.","contributorId":14676,"corporation":false,"usgs":true,"family":"Liard","given":"J.","email":"","affiliations":[],"preferred":false,"id":477029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Newell, D.","contributorId":14281,"corporation":false,"usgs":true,"family":"Newell","given":"D.","email":"","affiliations":[],"preferred":false,"id":477028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sands, R.","contributorId":62909,"corporation":false,"usgs":true,"family":"Sands","given":"R.","email":"","affiliations":[],"preferred":false,"id":477031,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schiel, J.","contributorId":74276,"corporation":false,"usgs":true,"family":"Schiel","given":"J.","email":"","affiliations":[],"preferred":false,"id":477034,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Silliker, J.","contributorId":105625,"corporation":false,"usgs":true,"family":"Silliker","given":"J.","email":"","affiliations":[],"preferred":false,"id":477039,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"van Westrum, D.","contributorId":77030,"corporation":false,"usgs":true,"family":"van Westrum","given":"D.","email":"","affiliations":[],"preferred":false,"id":477035,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70045423,"text":"70045423 - 2012 - The Middle Ordovician Knox unconformity in the Black Warrior Basin","interactions":[],"lastModifiedDate":"2020-09-14T15:37:16.938094","indexId":"70045423","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":606,"text":"AAPG Memoir","active":true,"publicationSubtype":{"id":10}},"title":"The Middle Ordovician Knox unconformity in the Black Warrior Basin","docAbstract":"<p>Analysis of well core and cuttings from the Black Warrior Basin in Mississippi reveals the presence of a Middle Ordovician (Whiterockian) erosional unconformity interpreted to be equivalent to the well-known Knox-Beekmantown unconformity in eastern North America. The unconformity occurs at the top of a peritidal dolostone unit known informally as the upper dolostone, whose stratigraphic placement has been the subject of a long-standing controversy. The unconformity, which represents the Sauk-Tippecanoe megasequence boundary on the North American craton, was previously thought to be short-lived or altogether absent in the Black Warrior Basin.</p>\n<p>The unconformity is characterized by subunconformity solution pipes, solution-collapse breccias, internal sedimentation, and erosional truncation of the underlying dolostone unit. This erosional surface is veneered with sand- to pebble-size, rounded and angular lithoclasts of the underlying dolostone, and rounded and angular quartz sand and silt. Extensive secondary porosity developed in the upper dolostone below the unconformity. Although much of this porosity was later occluded by internal sedimentation and pore-filling dolomite and calcite cement, porous zones remain in the upper dolostone.</p>\n<p>Based on conodont biostratigraphy from four cores and from a previous study on cuttings from a nearby well, the unconformity is middle Whiterockian in age and likely spans most or all of the&nbsp;<i>Histiodella holodentata</i>&nbsp;Biozone.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","publisherLocation":"Tulsa, OK","doi":"10.1306/13331498M983499","usgsCitation":"Dwyer, G., and Repetski, J.E., 2012, The Middle Ordovician Knox unconformity in the Black Warrior Basin, chap. <i>of</i> The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia: AAPG Memoir, v. 98, p. 345-356, https://doi.org/10.1306/13331498M983499.","productDescription":"12 p.","startPage":"345","endPage":"356","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378361,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/books/book/1267/chapter/107099883/The-Middle-Ordovician-Knox-Unconformity-in-the"}],"country":"United States","state":"Alabama, Arkansas, Tennessee","otherGeospatial":"Black Warrior Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.780029296875,\n              33.55970664841198\n            ],\n            [\n              -90.780029296875,\n              35.55010533588552\n            ],\n            [\n              -86.297607421875,\n              35.55010533588552\n            ],\n            [\n              -86.297607421875,\n              33.55970664841198\n            ],\n            [\n              -90.780029296875,\n              33.55970664841198\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64dde4b00154e4368b77","contributors":{"authors":[{"text":"Dwyer, Gary S.","contributorId":67642,"corporation":false,"usgs":true,"family":"Dwyer","given":"Gary S.","affiliations":[],"preferred":false,"id":541597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":541598,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046662,"text":"70046662 - 2012 - Long term mean annual water temperature for stream reaches in Pacific Northwest United States","interactions":[],"lastModifiedDate":"2013-06-18T15:34:56","indexId":"70046662","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Long term mean annual water temperature for stream reaches in Pacific Northwest United States","docAbstract":"Long-term mean annual water temperature (degrees Celsius) was estimated for the E2RF1 stream network (Brakebill and Terziotti, 2011) located within the Pacific Northwest region of the United States (HUC2 = 17; the Columbia River basin, the Puget Sound watershed, the coastal drainages of Washington and Oregon, and the closed basins in southern Oregon). Multiple linear regressions were used to select reach-scale watershed attributes (explanatory variables) for predicting the long-term mean annual water temperature (dependent variable) at a set of USGS water-quality monitoring stations. The results from the multiple linear regressions were used to predict the long-term mean water temperature for the Pacific Northwest reaches in the E2RF1 network.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/70046662","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Long term mean annual water temperature for stream reaches in Pacific Northwest United States, Dataset, https://doi.org/10.3133/70046662.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273955,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mean_water_temp_streams.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.859452,23.243486 ], [ -127.859452,51.549102 ], [ -65.377389,51.549102 ], [ -65.377389,23.243486 ], [ -127.859452,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18169e4b0dd0e00d921ed","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535553,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045468,"text":"70045468 - 2012 - Variation in reproductive life history traits between two populations of Blackbanded Darters (Percina nigrofasciata)","interactions":[],"lastModifiedDate":"2013-05-15T10:55:17","indexId":"70045468","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Variation in reproductive life history traits between two populations of Blackbanded Darters (Percina nigrofasciata)","docAbstract":"We examined the life history of Blackbanded Darters (Percina nigrofasciata) from two streams in the Choctawhatchee River drainage, Florida, over a three-year study period. Blackbanded Darters from Turkey Creek were longer than fish from Ten Mile Creek; however, size-adjusted clutch and egg sizes were similar between populations. Larger females produced larger clutches, whereas egg size did not vary with female body size. Seasonally, clutch sizes were greater in May than in August. When contrasted with previous studies of Blackbanded Darters in Alabama and Louisiana, the reproductive season of Blackbanded Darters in Florida was unusually long, ceasing for only a few months in late fall. The reproductive season was longer in Turkey Creek than in Ten Mile Creek. Differences in thermal regime among streams may explain differences in life history traits among local and distant populations of Blackbanded Darters. This research, alone and in combination with previous studies of this species, emphasizes two main points. First, it reaffirms that life history studies based on a single locality or conducted at a single point in time may fail to capture the full range of variation in life history traits. Second, it highlights the extensive phenotypic variation found in species with broad geographic ranges. Such species lend themselves to comparative and experimental research on patterns and causes of life history variation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CI-11-169","usgsCitation":"Hughey, M.C., Heins, D.C., Jelks, H.L., Ory, B.A., and Jordan, F., 2012, Variation in reproductive life history traits between two populations of Blackbanded Darters (Percina nigrofasciata): Copeia, v. 4, p. 714-721, https://doi.org/10.1643/CI-11-169.","productDescription":"8 p.","startPage":"714","endPage":"721","ipdsId":"IP-028505","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":272287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272286,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CI-11-169"}],"country":"United States","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51955851e4b0a933d82c4cdb","contributors":{"authors":[{"text":"Hughey, Myra C.","contributorId":57343,"corporation":false,"usgs":true,"family":"Hughey","given":"Myra","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heins, David C.","contributorId":105616,"corporation":false,"usgs":true,"family":"Heins","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":477570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":2962,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":477566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ory, Bridget A.","contributorId":47669,"corporation":false,"usgs":true,"family":"Ory","given":"Bridget","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jordan, Frank","contributorId":103405,"corporation":false,"usgs":true,"family":"Jordan","given":"Frank","affiliations":[],"preferred":false,"id":477569,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188861,"text":"70188861 - 2012 - Fluvial transport and surface enrichment of arsenic in semi-arid mining regions: examples from the Mojave Desert, California","interactions":[],"lastModifiedDate":"2017-06-27T10:11:21","indexId":"70188861","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2259,"text":"Journal of Environmental Monitoring","active":true,"publicationSubtype":{"id":10}},"title":"Fluvial transport and surface enrichment of arsenic in semi-arid mining regions: examples from the Mojave Desert, California","docAbstract":"<p><span>As a result of extensive gold and silver mining in the Mojave Desert, southern California, mine wastes and tailings containing highly elevated arsenic (As) concentrations remain exposed at a number of former mining sites. Decades of weathering and erosion have contributed to the mobilization of As-enriched tailings, which now contaminate surrounding communities. Fluvial transport plays an intermittent yet important and relatively undocumented role in the migration and dispersal of As-contaminated mine wastes in semi-arid climates. Assessing the contribution of fluvial systems to tailings mobilization is critical in order to assess the distribution and long-term exposure potential of tailings in a mining-impacted environment. Extensive sampling, chemical analysis, and geospatial mapping of dry streambed (wash) sediments, tailings piles, alluvial fans, and rainwater runoff at multiple mine sites have aided the development of a conceptual model to explain the fluvial migration of mine wastes in semi-arid climates. Intense and episodic </span>precipitation<span> events mobilize mine wastes downstream and downslope as a series of discrete pulses, causing dispersion both down and lateral to washes with exponential decay behavior as distance from the source increases. Accordingly a quantitative model of arsenic concentrations in wash sediments, represented as a series of overlapping exponential power-law decay curves, results in the acceptable reproducibility of observed arsenic concentration patterns. Such a model can be transferable to other abandoned mine lands as a predictive tool for monitoring the fate and transport of arsenic and related contaminants in similar settings. Effective remediation of contaminated mine wastes in a semi-arid environment requires addressing concurrent changes in the amounts of potential tailings released through fluvial processes and the transport capacity of a wash.</span></p>","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/C2EM30135K","usgsCitation":"Kim, C.S., Slack, D.H., and Rytuba, J.J., 2012, Fluvial transport and surface enrichment of arsenic in semi-arid mining regions: examples from the Mojave Desert, California: Journal of Environmental Monitoring, v. 14, no. 7, p. 1798-1813, https://doi.org/10.1039/C2EM30135K.","productDescription":"16 p.","startPage":"1798","endPage":"1813","ipdsId":"IP-038049","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.89566040039062,\n              35.24337596896174\n            ],\n            [\n              -117.43698120117189,\n              35.24337596896174\n            ],\n            [\n              -117.43698120117189,\n              35.44388973159731\n            ],\n            [\n              -117.89566040039062,\n              35.44388973159731\n            ],\n            [\n              -117.89566040039062,\n              35.24337596896174\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eafe4b062508e3c7abd","contributors":{"authors":[{"text":"Kim, Christopher S.","contributorId":193526,"corporation":false,"usgs":false,"family":"Kim","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":700729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, David H.","contributorId":193527,"corporation":false,"usgs":false,"family":"Slack","given":"David","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":700730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700727,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182181,"text":"70182181 - 2012 - Wildfire impacts on soil-water retention in the Colorado Front Range, United States","interactions":[],"lastModifiedDate":"2017-02-20T11:37:54","indexId":"70182181","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","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":"Wildfire impacts on soil-water retention in the Colorado Front Range, United States","docAbstract":"<p><span>This work examined the plot-scale differences in soil-water retention caused by wildfire in the area of the 2010 Fourmile Canyon Fire in the Colorado Front Range, United States. We measured soil-water retention curves on intact cores and repacked samples, soil particle-size distributions, and organic matter content. Estimates were also made of plant-available water based on the soil-water retention curves. Parameters for use in soil-hydraulic property models were estimated; these parameters can be used in unsaturated flow modeling for comparing burned and unburned watersheds. The primary driver for measured differences in soil-water retention in burned and unburned soils was organic matter content and not soil-particle size distribution. The tendency for unburned south-facing soils to have greater organic matter content than unburned north-facing soils in this field area may explain why unburned south-facing soils had greater soil-water retention than unburned north-facing soils. Our results suggest that high-severity wildfire can “homogenize” soil-water retention across the landscape by erasing soil-water retention differences resulting from organic matter content, which for this site may be affected by slope aspect. This homogenization could have important implications for ecohydrology and plant succession/recovery in burned areas, which could be a factor in dictating the window of vulnerability of the landscape to flash floods and erosion that are a common consequence of wildfire.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1029/2012WR012362","usgsCitation":"Ebel, B.A., 2012, Wildfire impacts on soil-water retention in the Colorado Front Range, United States: Water Resources Research, v. 48, no. 12, p. 1-12, https://doi.org/10.1029/2012WR012362.","productDescription":"W12515; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-042044","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":488761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012wr012362","text":"Publisher Index Page"},{"id":335828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"48","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-14","publicationStatus":"PW","scienceBaseUri":"58ac0e31e4b0ce4410e7d60c","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669909,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70182233,"text":"70182233 - 2012 - Prevalence, environmental loading, and molecular characterization of <i>Cryptosporidium</i> and <i>Giardia</i isolates from domestic and wild animals along the Central California Coast","interactions":[],"lastModifiedDate":"2017-02-23T13:53:53","indexId":"70182233","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence, environmental loading, and molecular characterization of <i>Cryptosporidium</i> and <i>Giardia</i isolates from domestic and wild animals along the Central California Coast","docAbstract":"<p><span>The risk of disease transmission from waterborne protozoa is often dependent on the origin (e.g., domestic animals versus wildlife), overall parasite load in contaminated waterways, and parasite genotype, with infections being linked to runoff or direct deposition of domestic animal and wildlife feces. Fecal samples collected from domestic animals and wildlife along the central California coast were screened to (i) compare the prevalence and associated risk factors for fecal shedding of </span><span id=\"named-content-3\" class=\"named-content genus-species\">Cryptosporidium</span><span> and </span><span id=\"named-content-4\" class=\"named-content genus-species\">Giardia</span><span> species parasites, (ii) evaluate the relative importance of animal host groups that contribute to pathogen loading in coastal ecosystems, and (iii) characterize zoonotic and host-specific genotypes. Overall, 6% of fecal samples tested during 2007 to 2010 were positive for </span><span id=\"named-content-5\" class=\"named-content genus-species\">Cryptosporidium</span><span> oocysts and 15% were positive for </span><span id=\"named-content-6\" class=\"named-content genus-species\">Giardia</span><span> cysts. Animal host group and age class were significantly associated with detection of </span><span id=\"named-content-7\" class=\"named-content genus-species\">Cryptosporidium</span><span> and </span><span id=\"named-content-8\" class=\"named-content genus-species\">Giardia</span><span> parasites in animal feces. Fecal loading analysis revealed that infected beef cattle potentially contribute the greatest parasite load relative to other host groups, followed by wild canids. Beef cattle, however, shed host-specific, minimally zoonotic </span><span id=\"named-content-9\" class=\"named-content genus-species\">Cryptosporidium</span><span> and </span><span id=\"named-content-10\" class=\"named-content genus-species\">Giardia duodenalis</span><span> genotypes, whereas wild canids shed potentially zoonotic genotypes, including </span><span id=\"named-content-11\" class=\"named-content genus-species\">G. duodenalis</span><span> assemblages A and B. Given that the parasite genotypes detected in cattle were not zoonotic, the public health risk posed by protozoan parasite shedding in cattle feces may be lower than that posed by other animals, such as wild canids, that routinely shed zoonotic genotypes.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.02422-12","usgsCitation":"Oates, S., Miller, M.A., Hardin, D., Conrad, P.A., Melli, A., Jessup, D.A., Dominik, C., Roug, A., Tinker, M.T., and Miller, W.A., 2012, Prevalence, environmental loading, and molecular characterization of <i>Cryptosporidium</i> and <i>Giardia</i isolates from domestic and wild animals along the Central California Coast: Applied and Environmental Microbiology, v. 78, no. 24, p. 8762-8772, https://doi.org/10.1128/AEM.02422-12.","productDescription":"11 p.","startPage":"8762","endPage":"8772","ipdsId":"IP-082113","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.02422-12","text":"Publisher Index Page"},{"id":336118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.23114013671875,\n              36.50190922765839\n            ],\n            [\n              -121.695556640625,\n              36.50190922765839\n            ],\n            [\n              -121.695556640625,\n              37.03106210011894\n            ],\n            [\n              -122.23114013671875,\n              37.03106210011894\n            ],\n            [\n              -122.23114013671875,\n              36.50190922765839\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"24","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b002c7e4b01ccd54fb27d3","contributors":{"authors":[{"text":"Oates, Stori C","contributorId":181935,"corporation":false,"usgs":false,"family":"Oates","given":"Stori C","affiliations":[],"preferred":false,"id":670094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Melissa A.","contributorId":57701,"corporation":false,"usgs":false,"family":"Miller","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":39007,"text":"CA Dept of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":670095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardin, Dane","contributorId":181936,"corporation":false,"usgs":false,"family":"Hardin","given":"Dane","email":"","affiliations":[],"preferred":false,"id":670096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, Patricia A.","contributorId":181937,"corporation":false,"usgs":false,"family":"Conrad","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":670097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melli, Ann","contributorId":181938,"corporation":false,"usgs":false,"family":"Melli","given":"Ann","email":"","affiliations":[],"preferred":false,"id":670098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jessup, David A.","contributorId":96226,"corporation":false,"usgs":false,"family":"Jessup","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":670099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dominik, Clare","contributorId":181939,"corporation":false,"usgs":false,"family":"Dominik","given":"Clare","email":"","affiliations":[],"preferred":false,"id":670100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roug, Annette","contributorId":181940,"corporation":false,"usgs":false,"family":"Roug","given":"Annette","email":"","affiliations":[],"preferred":false,"id":670101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":670093,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, Woutrina A.","contributorId":181941,"corporation":false,"usgs":false,"family":"Miller","given":"Woutrina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":670102,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70035458,"text":"70035458 - 2012 - Geochemical constraints on adakites of different origins and copper mineralization","interactions":[],"lastModifiedDate":"2020-11-13T20:05:13.127307","indexId":"70035458","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical constraints on adakites of different origins and copper mineralization","docAbstract":"<p><span>The petrogenesis of adakites holds important clues to the formation of the continental crust and copper ± gold porphyry mineralization. However, it remains highly debated as to whether adakites form by slab melting, by partial melting of the lower continental crust, or by fractional crystallization of normal arc magmas. Here, we show that to form adakitic signature, partial melting of a subducting oceanic slab would require high pressure at depths of &gt;50 km, whereas partial melting of the lower continental crust would require the presence of plagioclase and thus shallower depths and additional water. These two types of adakites can be discriminated using geochemical indexes. Compiled data show that adakites from circum-Pacific regions, which have close affinity to subduction of young hot oceanic plate, can be clearly discriminated from adakites from the Dabie Mountains and the Tibetan Plateau, which have been attributed to partial melting of continental crust, in Sr/Y-versus-La/Yb diagram. Given that oceanic crust has copper concentrations about two times higher than those in the continental crust, whereas the high oxygen fugacity in the subduction environment promotes the release of copper during partial melting, slab melting provides the most efficient mechanism to concentrate copper and gold; slab melts would be more than two times greater in copper (and also gold) concentrations than lower continental crust melts and normal arc magmas. Thus, identification of slab melt adakites is important for predicting exploration targets for copper- and gold-porphyry ore deposits. This explains the close association of ridge subduction with large porphyry copper deposits because ridge subduction is the most favorable place for slab melting.</span></p>","language":"English","publisher":"The University of Chicago Press Books","doi":"10.1086/662736","issn":"00221376","usgsCitation":"Sun, W., Ling, M., Chung, S., Ding, X., Yang, X., Liang, H., Fan, W., Goldfarb, R., and Yin, Q., 2012, Geochemical constraints on adakites of different origins and copper mineralization: Journal of Geology, v. 120, no. 1, p. 105-120, https://doi.org/10.1086/662736.","productDescription":"16 p.","startPage":"105","endPage":"120","costCenters":[],"links":[{"id":243369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215557,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/662736"}],"country":"China","otherGeospatial":"Dabie Mountains and the Tibetan Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              101.513671875,\n              22.43134015636061\n            ],\n            [\n              108.720703125,\n              25.958044673317843\n            ],\n            [\n              107.57812499999999,\n              30.600093873550072\n            ],\n            [\n              102.65625,\n              31.50362930577303\n            ],\n            [\n              99.49218749999999,\n              29.152161283318915\n            ],\n            [\n              99.580078125,\n              25.64152637306577\n            ],\n            [\n              101.513671875,\n              22.43134015636061\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      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X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":450764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, X.-Y.","contributorId":9489,"corporation":false,"usgs":true,"family":"Yang","given":"X.-Y.","email":"","affiliations":[],"preferred":false,"id":450760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, H.-Y.","contributorId":88576,"corporation":false,"usgs":true,"family":"Liang","given":"H.-Y.","email":"","affiliations":[],"preferred":false,"id":450767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fan, W.-M.","contributorId":100217,"corporation":false,"usgs":true,"family":"Fan","given":"W.-M.","email":"","affiliations":[],"preferred":false,"id":450768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldfarb, R.","contributorId":43113,"corporation":false,"usgs":true,"family":"Goldfarb","given":"R.","email":"","affiliations":[],"preferred":false,"id":450763,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Q.-Z.","contributorId":64056,"corporation":false,"usgs":true,"family":"Yin","given":"Q.-Z.","email":"","affiliations":[],"preferred":false,"id":450765,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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