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,{"id":70037429,"text":"70037429 - 2009 - Performance of temperature and dissolved oxygen criteria to predict habitat use by lake trout (Salvelinus namaycush)","interactions":[],"lastModifiedDate":"2023-11-29T01:23:07.122972","indexId":"70037429","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Performance of temperature and dissolved oxygen criteria to predict habitat use by lake trout (Salvelinus namaycush)","docAbstract":"<div>We compared theoretical habitat volumes, determined from traditional combinations of temperature and dissolved oxygen concentration (DO) boundaries, with in situ habitat use by acoustically tagged lake trout (<span class=\"named-content\" data-type=\"species\">Salvelinus namaycush</span>). The widely used criteria of 8–12&nbsp;°C underestimated lake trout habitat use by 68%–80%. Instead, combined temperature (&lt;12 or 15&nbsp;°C) and DO (&gt;4 or 6&nbsp;mg·L<sup>–1</sup>) criteria most closely matched lake trout habitat use, had a similar seasonal trend as the tagged fish, suggested modest reductions (5% of total lake volume) in habitat during a warmer year, and performed best when the constraints of temperature and DO were most limiting. All data were collected in a small boreal shield lake (27&nbsp;ha,<span>&nbsp;</span><i>z</i><sub>max</sub><span>&nbsp;</span>= 21&nbsp;m) at the Experimental Lakes Area in northwestern Ontario, Canada, during two contrasting periods of thermal stratification (2003: warmer and longer; 2004: cooler and shorter), providing an assessment of observed and theoretical habitat volumes over current environmental extremes.</div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/F09-129","issn":"0706652X","usgsCitation":"Plumb, J., and Blanchfield, P., 2009, Performance of temperature and dissolved oxygen criteria to predict habitat use by lake trout (Salvelinus namaycush): Canadian Journal of Fisheries and Aquatic Sciences, v. 66, no. 11, p. 2011-2023, https://doi.org/10.1139/F09-129.","productDescription":"13 p.","startPage":"2011","endPage":"2023","numberOfPages":"13","costCenters":[],"links":[{"id":245201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.27310466371186,\n              50.251409577362494\n            ],\n            [\n              -94.27310466371186,\n              47.53647767348366\n            ],\n            [\n              -87.59341716371155,\n              47.53647767348366\n            ],\n            [\n              -87.59341716371155,\n              50.251409577362494\n            ],\n            [\n              -94.27310466371186,\n              50.251409577362494\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"66","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a768fe4b0c8380cd781a1","contributors":{"authors":[{"text":"Plumb, J.M.","contributorId":37870,"corporation":false,"usgs":true,"family":"Plumb","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":461025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanchfield, P.J.","contributorId":64025,"corporation":false,"usgs":true,"family":"Blanchfield","given":"P.J.","affiliations":[],"preferred":false,"id":461026,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037281,"text":"70037281 - 2009 - Compositions of modern dust and surface sediments in the Desert Southwest, United States","interactions":[],"lastModifiedDate":"2013-04-21T19:32:09","indexId":"70037281","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Compositions of modern dust and surface sediments in the Desert Southwest, United States","docAbstract":"Modern dusts across southwestern United States deserts are compositionally similar to dust-rich Av soil horizons (depths of 0-0.5 cm and 1-4 cm at 35 sites) for common crustal elements but distinctly different for some trace elements. Chemical compositions and magnetic properties of the soil samples are similar among sites relative to dust sources, geographic areas, and lithologic substrates. Exceptions are Li, U, and W, enriched in Owens Valley, California, and Mg and Sr, enriched in soils formed on calcareous fan gravel in southeast Nevada. The Av horizons are dominated by dust and reflect limited mixing with substrate sediments. Modern dust samples are also similar across the region, except that Owens Valley dusts are higher in Mg, Ba, and Li and dusts both there and at sites to the north on volcanic substrates are higher in Sb and W. Thus, dust and Av horizons consist of contributions from many different sources that are well mixed before deposition. Modern dusts contain significantly greater amounts of As, Cd, Cr, Cu, Ni, Pb, and Sb than do Av horizons, which record dust additions over hundreds to thousands of years. These results suggest that modern dust compositions are influenced by anthropogenic sources and emissions from Owens (dry) Lake after its artificial desiccation in 1926. Both modern dusts and Av horizons are enriched in As, Ba, Cu, Li, Sb, Th, U, and W relative to average crustal composition, which we interpret to indicate that the geologic sources of dust in the southwestern United States are geochemically distinctive.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2008JF001009","issn":"01480227","usgsCitation":"Reheis, M., Budahn, J., Lamothe, P.J., and Reynolds, R.L., 2009, Compositions of modern dust and surface sediments in the Desert Southwest, United States: Journal of Geophysical Research F: Earth Surface, v. 114, no. F1, F01028, https://doi.org/10.1029/2008JF001009.","productDescription":"F01028","costCenters":[],"links":[{"id":476356,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jf001009","text":"Publisher Index Page"},{"id":217257,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JF001009"},{"id":245188,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"F1","noUsgsAuthors":false,"publicationDate":"2009-03-07","publicationStatus":"PW","scienceBaseUri":"5059f93ce4b0c8380cd4d4fc","contributors":{"authors":[{"text":"Reheis, M.C. 0000-0002-8359-323X","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":36128,"corporation":false,"usgs":true,"family":"Reheis","given":"M.C.","affiliations":[],"preferred":false,"id":460256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budahn, J. R. 0000-0001-9794-8882","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":83914,"corporation":false,"usgs":true,"family":"Budahn","given":"J. R.","affiliations":[],"preferred":false,"id":460259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamothe, P. J.","contributorId":45672,"corporation":false,"usgs":true,"family":"Lamothe","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":460257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, R. L. 0000-0002-4572-2942","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":79885,"corporation":false,"usgs":true,"family":"Reynolds","given":"R.","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":460258,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037309,"text":"70037309 - 2009 - Greenhouse gas flux from cropland and restored wetlands in the Prairie Pothole Region","interactions":[],"lastModifiedDate":"2017-10-26T11:03:42","indexId":"70037309","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Greenhouse gas flux from cropland and restored wetlands in the Prairie Pothole Region","docAbstract":"It has been well documented that restored wetlands in the Prairie Pothole Region of North America do store carbon. However, the net benefit of carbon sequestration in wetlands in terms of a reduction in global warming forcing has often been questioned because of potentially greater emissions of greenhouse gases (GHGs) such as nitrous oxide (N<sub>2</sub>O) and methane (CH<sub>4</sub>). We compared gas emissions (N<sub>2</sub>O, CH<sub>4</sub>, carbon dioxide [CO<sub>2</sub>]) and soil moisture and temperature from eight cropland and eight restored grassland wetlands in the Prairie Pothole Region from May to October, 2003, to better understand the atmospheric carbon mitigation potential of restored wetlands. Results show that carbon dioxide contributed the most (90%) to net-GHG flux, followed by CH<sub>4</sub> (9%) and N<sub>2</sub>O (1%). Fluxes of N<sub>2</sub>O, CH<sub>4</sub>, CO<sub>2</sub>, and their combined global warming potential (CO<sub>2</sub> equivalents) did not significantly differ between cropland and grassland wetlands. The seasonal pattern in flux was similar in cropland and grassland wetlands with peak emissions of N<sub>2</sub>O and CH<sub>4</sub> occurring when soil water-filled pore space (WFPS) was 40-60% and &gt;60%, respectively; negative CH<sub>4</sub> fluxes were observed when WFPS approached 40%. Negative CH<sub>4</sub> fluxes from grassland wetlands occurred earlier in the season and were more pronounced than those from cropland sites because WFPS declined more rapidly in grassland wetlands; this decline was likely due to higher infiltration and evapotranspiration rates associated with grasslands. Our results suggest that restoring cropland wetlands does not result in greater emissions of N<sub>2</sub>O and CH<sub>4</sub>, and therefore would not offset potential soil carbon sequestration. These findings, however, are limited to a small sample of seasonal wetlands with relatively short hydroperiods. A more comprehensive assessment of the GHG mitigation potential of restored wetlands should include a diversity of wetland types and land-use practices and consider the impact of variable climatic cycles that affect wetland hydrology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Biology and Biochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.soilbio.2009.09.008","issn":"00380717","usgsCitation":"Gleason, R., Tangen, B., Browne, B., and Euliss, N., 2009, Greenhouse gas flux from cropland and restored wetlands in the Prairie Pothole Region: Soil Biology and Biochemistry, v. 41, no. 12, p. 2501-2507, https://doi.org/10.1016/j.soilbio.2009.09.008.","productDescription":"7 p.","startPage":"2501","endPage":"2507","numberOfPages":"7","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":245156,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217229,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.soilbio.2009.09.008"}],"volume":"41","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2a6be4b0c8380cd5b168","contributors":{"authors":[{"text":"Gleason, R.A.","contributorId":46035,"corporation":false,"usgs":true,"family":"Gleason","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":460407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, B.A.","contributorId":102687,"corporation":false,"usgs":true,"family":"Tangen","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":460410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Browne, B.A.","contributorId":85006,"corporation":false,"usgs":true,"family":"Browne","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":460409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Euliss, N.H. Jr.","contributorId":54917,"corporation":false,"usgs":true,"family":"Euliss","given":"N.H.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":460408,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037308,"text":"70037308 - 2009 - Overview of the magnetic properties experiments on the Mars Exploration Rovers","interactions":[],"lastModifiedDate":"2018-11-27T10:42:09","indexId":"70037308","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Overview of the magnetic properties experiments on the Mars Exploration Rovers","docAbstract":"<p><span>The Mars Exploration Rovers have accumulated airborne dust on different types of permanent magnets. Images of these magnets document the dynamics of dust capture and removal over time. The strongly magnetic subset of airborne dust appears dark brown to black in Panoramic Camera (Pancam) images, while the weakly magnetic one is bright red. Images returned by the Microscopic Imager reveal the formation of magnetic chains diagnostic of magnetite‐rich grains with substantial magnetization (&gt;8 Am</span><sup>2</sup><span>&nbsp;kg</span><sup>−1</sup><span>). On the basis of Mössbauer spectra the dust contains magnetite, olivine, pyroxene, and nanophase oxides in varying proportions, depending on wind regime and landing site. The dust contains a larger amount of ferric iron (Fe</span><sup>3+</sup><span>/Fe</span><sub>tot</sub><span>&nbsp;∼ 0.6) than rocks in the Gusev plains (∼0.1–0.2) or average Gusev soil (∼0.3). Alpha Particle X‐Ray Spectrometer data of the dust show that some of the iron in magnetite is substituted by titanium and chromium. The good correlation of the amount of calcium and sulfur in the dust may be caused by the presence of a calcium sulfate related phase. The overall mineralogical composition points to a basaltic origin of the airborne dust, although some alteration has taken place as indicated by the large degree of oxidation.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C. ","doi":"10.1029/2008JE003098","issn":"01480227","usgsCitation":"Madsen, M., Goetz, W., Bertelsen, P., Binau, C., Folkmann, F., Gunnlaugsson, H., Hjollum, J., Hviid, S., Jensen, J., Kinch, K., Leer, K., Madsen, D., Merrison, J., Olsen, M., Arneson, H., Bell, J., Gellert, R., Herkenhoff, K.E., Johnson, J.R., Johnson, M.J., Klingelhofer, G., McCartney, E., Ming, D.W., Morris, R., Proton, J., Rodionov, D., Sims, M., Squyres, S.W., Wdowiak, T., and Yen, A.S., 2009, Overview of the magnetic properties experiments on the Mars Exploration Rovers: Journal of Geophysical Research E: Planets, v. 114, no. E6, 20 p., https://doi.org/10.1029/2008JE003098.","productDescription":"20 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476445,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/129771","text":"External Repository"},{"id":245127,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"114","issue":"E6","noUsgsAuthors":false,"publicationDate":"2009-06-16","publicationStatus":"PW","scienceBaseUri":"505a7247e4b0c8380cd769e5","contributors":{"authors":[{"text":"Madsen, M.B.","contributorId":97291,"corporation":false,"usgs":true,"family":"Madsen","given":"M.B.","affiliations":[],"preferred":false,"id":460404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goetz, W.","contributorId":104258,"corporation":false,"usgs":true,"family":"Goetz","given":"W.","affiliations":[],"preferred":false,"id":460406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertelsen, P.","contributorId":66459,"corporation":false,"usgs":true,"family":"Bertelsen","given":"P.","email":"","affiliations":[],"preferred":false,"id":460396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Binau, C.S.","contributorId":8738,"corporation":false,"usgs":true,"family":"Binau","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":460378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Folkmann, F.","contributorId":83404,"corporation":false,"usgs":true,"family":"Folkmann","given":"F.","email":"","affiliations":[],"preferred":false,"id":460400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gunnlaugsson, H.P.","contributorId":30518,"corporation":false,"usgs":true,"family":"Gunnlaugsson","given":"H.P.","email":"","affiliations":[],"preferred":false,"id":460384,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hjollum, J.I.","contributorId":33184,"corporation":false,"usgs":true,"family":"Hjollum","given":"J.I.","email":"","affiliations":[],"preferred":false,"id":460386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hviid, S.F.","contributorId":49670,"corporation":false,"usgs":true,"family":"Hviid","given":"S.F.","email":"","affiliations":[],"preferred":false,"id":460389,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jensen, J.","contributorId":25047,"corporation":false,"usgs":true,"family":"Jensen","given":"J.","email":"","affiliations":[],"preferred":false,"id":460383,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kinch, K.M.","contributorId":9041,"corporation":false,"usgs":true,"family":"Kinch","given":"K.M.","affiliations":[],"preferred":false,"id":460379,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leer, K.","contributorId":69025,"corporation":false,"usgs":true,"family":"Leer","given":"K.","email":"","affiliations":[],"preferred":false,"id":460397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Madsen, D.E.","contributorId":24649,"corporation":false,"usgs":true,"family":"Madsen","given":"D.E.","email":"","affiliations":[],"preferred":false,"id":460382,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Merrison, J.","contributorId":15481,"corporation":false,"usgs":true,"family":"Merrison","given":"J.","affiliations":[],"preferred":false,"id":460381,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Olsen, M.","contributorId":51539,"corporation":false,"usgs":true,"family":"Olsen","given":"M.","affiliations":[],"preferred":false,"id":460390,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Arneson, H.M.","contributorId":86935,"corporation":false,"usgs":true,"family":"Arneson","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":460402,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":460405,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gellert, Ralf","contributorId":35049,"corporation":false,"usgs":false,"family":"Gellert","given":"Ralf","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":460387,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":460394,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":460398,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Johnson, M. J.","contributorId":52988,"corporation":false,"usgs":true,"family":"Johnson","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":460392,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Klingelhofer, G.","contributorId":57195,"corporation":false,"usgs":true,"family":"Klingelhofer","given":"G.","email":"","affiliations":[],"preferred":false,"id":460393,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"McCartney, E.","contributorId":10585,"corporation":false,"usgs":true,"family":"McCartney","given":"E.","email":"","affiliations":[],"preferred":false,"id":460380,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Ming, D. W.","contributorId":96811,"corporation":false,"usgs":true,"family":"Ming","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":460403,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Morris, R.V.","contributorId":6978,"corporation":false,"usgs":true,"family":"Morris","given":"R.V.","affiliations":[],"preferred":false,"id":460377,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Proton, J.B.","contributorId":85470,"corporation":false,"usgs":true,"family":"Proton","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":460401,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Rodionov, D.","contributorId":60824,"corporation":false,"usgs":true,"family":"Rodionov","given":"D.","email":"","affiliations":[],"preferred":false,"id":460395,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Sims, M.","contributorId":52695,"corporation":false,"usgs":true,"family":"Sims","given":"M.","affiliations":[],"preferred":false,"id":460391,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":460385,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Wdowiak, T.","contributorId":81287,"corporation":false,"usgs":true,"family":"Wdowiak","given":"T.","email":"","affiliations":[],"preferred":false,"id":460399,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Yen, A. S.","contributorId":35860,"corporation":false,"usgs":true,"family":"Yen","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":460388,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70037307,"text":"70037307 - 2009 - Spatial patterns and controls of soil chemical weathering rates along a transient hillslope","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037307","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns and controls of soil chemical weathering rates along a transient hillslope","docAbstract":"Hillslopes have been intensively studied by both geomorphologists and soil scientists. Whereas geomorphologists have focused on the physical soil production and transport on hillslopes, soil scientists have been concerned with the topographic variation of soil geochemical properties. We combined these differing approaches and quantified soil chemical weathering rates along a grass covered hillslope in Coastal California. The hillslope is comprised of both erosional and depositional sections. In the upper eroding section, soil production is balanced by physical erosion and chemical weathering. The hillslope then transitions to a depositional slope where soil accumulates due to a historical reduction of channel incision at the hillslope's base. Measurements of hillslope morphology and soil thickness were combined with the elemental composition of the soil and saprolite, and interpreted through a process-based model that accounts for both chemical weathering and sediment transport. Chemical weathering of the minerals as they moved downslope via sediment transport imparted spatial variation in the geochemical properties of the soil. Inverse modeling of the field and laboratory data revealed that the long-term soil chemical weathering rates peak at 5 g m<sup>- 2</sup> yr<sup>- 1</sup> at the downslope end of the eroding section and decrease to 1.5 g m<sup>- 2</sup> yr<sup>- 1</sup> within the depositional section. In the eroding section, soil chemical weathering rates appear to be primarily controlled by the rate of mineral supply via colluvial input from upslope. In the depositional slope, geochemical equilibrium between soil water and minerals appeared to limit the chemical weathering rate. Soil chemical weathering was responsible for removing 6% of the soil production in the eroding section and 5% of colluvial influx in the depositional slope. These were among the lowest weathering rates reported for actively eroding watersheds, which was attributed to the parent material with low amount of weatherable minerals and intense coating of the primary minerals by secondary clay and iron oxides. We showed that both the morphologic disequilibrium of the hillslope and the spatial heterogeneity of soil properties are due to spatial variations in the physical and chemical processes that removed mass from the soil. ?? 2009 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.epsl.2009.09.021","issn":"0012821X","usgsCitation":"Yoo, K., Mudd, S., Sanderman, J., Amundson, R., and Blum, A., 2009, Spatial patterns and controls of soil chemical weathering rates along a transient hillslope: Earth and Planetary Science Letters, v. 288, no. 1-2, p. 184-193, https://doi.org/10.1016/j.epsl.2009.09.021.","startPage":"184","endPage":"193","numberOfPages":"10","costCenters":[],"links":[{"id":217174,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2009.09.021"},{"id":245095,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"288","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9494e4b08c986b31ab8a","contributors":{"authors":[{"text":"Yoo, K.","contributorId":73387,"corporation":false,"usgs":true,"family":"Yoo","given":"K.","email":"","affiliations":[],"preferred":false,"id":460375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mudd, S.M.","contributorId":19377,"corporation":false,"usgs":true,"family":"Mudd","given":"S.M.","affiliations":[],"preferred":false,"id":460372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanderman, J.","contributorId":107532,"corporation":false,"usgs":true,"family":"Sanderman","given":"J.","affiliations":[],"preferred":false,"id":460376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amundson, Ronald","contributorId":59925,"corporation":false,"usgs":true,"family":"Amundson","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":460373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blum, A.","contributorId":63971,"corporation":false,"usgs":true,"family":"Blum","given":"A.","email":"","affiliations":[],"preferred":false,"id":460374,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037305,"text":"70037305 - 2009 - Synergistic use of optical and InSAR data for urban impervious surface mapping: A case study in Hong Kong","interactions":[],"lastModifiedDate":"2017-04-03T16:07:12","indexId":"70037305","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Synergistic use of optical and InSAR data for urban impervious surface mapping: A case study in Hong Kong","docAbstract":"<p><span>A wide range of urban ecosystem studies, including urban hydrology, urban climate, land use planning and watershed resource management, require accurate and up‐to‐date geospatial data of urban impervious surfaces. In this study, the potential of the synergistic use of optical and InSAR data in urban impervious surface mapping at the sub‐pixel level was investigated. A case study in Hong Kong was conducted for this purpose by applying a classification and regression tree (CART) algorithm to SPOT 5 multispectral imagery and ERS‐2 SAR data. Validated by reference data derived from high‐resolution colour‐infrared (CIR) aerial photographs, our results show that the addition of InSAR feature information can improve the estimation of impervious surface percentage (ISP) in comparison with using SPOT imagery alone. The improvement is especially notable in separating urban impervious surface from the vacant land/bare ground, which has been a difficult task in ISP modelling with optical remote sensing data. In addition, the results demonstrate the potential to map urban impervious surface by using InSAR data alone. This allows frequent monitoring of world's cities located in cloud‐prone and rainy areas.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160802555838","issn":"01431161","usgsCitation":"Jiang, L., Liao, M., Lin, H., and Yang, L., 2009, Synergistic use of optical and InSAR data for urban impervious surface mapping: A case study in Hong Kong: International Journal of Remote Sensing, v. 30, no. 11, p. 2781-2796, https://doi.org/10.1080/01431160802555838.","productDescription":"16 p.","startPage":"2781","endPage":"2796","numberOfPages":"16","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217119,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160802555838"}],"volume":"30","issue":"11","noUsgsAuthors":false,"publicationDate":"2009-06-22","publicationStatus":"PW","scienceBaseUri":"505ba340e4b08c986b31fc2b","contributors":{"authors":[{"text":"Jiang, L.","contributorId":107530,"corporation":false,"usgs":true,"family":"Jiang","given":"L.","email":"","affiliations":[],"preferred":false,"id":460369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liao, M.","contributorId":86600,"corporation":false,"usgs":true,"family":"Liao","given":"M.","email":"","affiliations":[],"preferred":false,"id":460368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, H.","contributorId":17854,"corporation":false,"usgs":true,"family":"Lin","given":"H.","email":"","affiliations":[],"preferred":false,"id":460367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, L.","contributorId":6200,"corporation":false,"usgs":true,"family":"Yang","given":"L.","affiliations":[],"preferred":false,"id":460366,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037304,"text":"70037304 - 2009 - Improved prediction and tracking of volcanic ash clouds","interactions":[],"lastModifiedDate":"2019-04-25T11:10:14","indexId":"70037304","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Improved prediction and tracking of volcanic ash clouds","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"aep-abstract-id9\" class=\"abstract author\"><div id=\"aep-abstract-sec-id10\"><p><span>During the past 30 years, more than 100 airplanes have inadvertently flown through clouds of volcanic ash from erupting volcanoes. Such encounters have caused millions of dollars in damage to the aircraft and have endangered the lives of tens of thousands of passengers. In a few severe cases, total engine failure resulted when ash was ingested into turbines and coating turbine blades. These incidents have prompted the establishment of cooperative efforts by the International Civil Aviation Organization and the volcanological community to provide rapid notification of eruptive activity, and to monitor and forecast the trajectories of ash clouds so that they can be avoided by air traffic. Ash-cloud properties such as plume height, ash concentration, and three-dimensional ash distribution have been monitored through non-conventional remote sensing techniques that are under active development. Forecasting the trajectories of ash clouds has required the development of volcanic ash transport and dispersion models that can calculate the path of an ash cloud over the scale of a continent or a hemisphere. Volcanological inputs to these models, such as plume height, mass eruption rate, eruption duration, ash distribution with altitude, and grain-size distribution, must be assigned in real time during an event, often with limited observations. Databases and protocols are currently being developed that allow for rapid assignment of such source parameters. In this paper, we summarize how an interdisciplinary working group on eruption source parameters has been instigating research to improve upon the current understanding of volcanic ash cloud characterization and predictions. Improved predictions of ash cloud movement and air fall will aid in making better hazard assessments for aviation and for public health and air quality.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2008.10.022","issn":"03770273","usgsCitation":"Mastin, L.G., and Webley, P., 2009, Improved prediction and tracking of volcanic ash clouds: Journal of Volcanology and Geothermal Research, v. 186, no. 1-2, p. 1-9, https://doi.org/10.1016/j.jvolgeores.2008.10.022.","productDescription":"9 p.","startPage":"1","endPage":"9","numberOfPages":"9","ipdsId":"IP-008034","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":245035,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Augustine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.50048828125,\n              56.29215668507645\n            ],\n            [\n              -142.62451171875,\n              56.29215668507645\n            ],\n            [\n              -142.62451171875,\n              62.52245786661599\n            ],\n            [\n              -155.50048828125,\n              62.52245786661599\n            ],\n            [\n              -155.50048828125,\n              56.29215668507645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"186","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3962e4b0c8380cd618de","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":460365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webley, Peter","contributorId":34783,"corporation":false,"usgs":true,"family":"Webley","given":"Peter","affiliations":[],"preferred":false,"id":460364,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037302,"text":"70037302 - 2009 - A guide to differences between stochastic point-source and stochastic finite-fault simulations","interactions":[],"lastModifiedDate":"2012-12-19T13:09:35","indexId":"70037302","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A guide to differences between stochastic point-source and stochastic finite-fault simulations","docAbstract":"Why do stochastic point-source and finite-fault simulation models not agree on the predicted ground motions for moderate earthquakes at large distances? This question was posed by Ken Campbell, who attempted to reproduce the Atkinson and Boore (2006) ground-motion prediction equations for eastern North America using the stochastic point-source program SMSIM (Boore, 2005) in place of the finite-source stochastic program EXSIM (Motazedian and Atkinson, 2005) that was used by Atkinson and Boore (2006) in their model. His comparisons suggested that a higher stress drop is needed in the context of SMSIM to produce an average match, at larger distances, with the model predictions of Atkinson and Boore (2006) based on EXSIM; this is so even for moderate magnitudes, which should be well-represented by a point-source model. Why? The answer to this question is rooted in significant differences between point-source and finite-source stochastic simulation methodologies, specifically as implemented in SMSIM (Boore, 2005) and EXSIM (Motazedian and Atkinson, 2005) to date. Point-source and finite-fault methodologies differ in general in several important ways: (1) the geometry of the source; (2) the definition and application of duration; and (3) the normalization of finite-source subsource summations. Furthermore, the specific implementation of the methods may differ in their details. The purpose of this article is to provide a brief overview of these differences, their origins, and implications. This sets the stage for a more detailed companion article, \"Comparing Stochastic Point-Source and Finite-Source Ground-Motion Simulations: SMSIM and EXSIM,\" in which Boore (2009) provides modifications and improvements in the implementations of both programs that narrow the gap and result in closer agreement. These issues are important because both SMSIM and EXSIM have been widely used in the development of ground-motion prediction equations and in modeling the parameters that control observed ground motions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120090058","issn":"00371106","usgsCitation":"Atkinson, G.M., Assatourians, K., Boore, D., Campbell, K., and Motazedian, D., 2009, A guide to differences between stochastic point-source and stochastic finite-fault simulations: Bulletin of the Seismological Society of America, v. 99, no. 6, p. 3192-3201, https://doi.org/10.1785/0120090058.","productDescription":"10 p.","startPage":"3192","endPage":"3201","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":217089,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090058"},{"id":245002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-11-23","publicationStatus":"PW","scienceBaseUri":"5059e412e4b0c8380cd463c4","contributors":{"authors":[{"text":"Atkinson, G. M.","contributorId":69283,"corporation":false,"usgs":true,"family":"Atkinson","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":460355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assatourians, K.","contributorId":24200,"corporation":false,"usgs":true,"family":"Assatourians","given":"K.","email":"","affiliations":[],"preferred":false,"id":460353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":460354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, K.","contributorId":10526,"corporation":false,"usgs":true,"family":"Campbell","given":"K.","affiliations":[],"preferred":false,"id":460352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Motazedian, D.","contributorId":90139,"corporation":false,"usgs":true,"family":"Motazedian","given":"D.","email":"","affiliations":[],"preferred":false,"id":460356,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70037301,"text":"70037301 - 2009 - Gastric cryptosporidiosis in freshwater angelfish (Pterophyllum scalare)","interactions":[],"lastModifiedDate":"2012-03-12T17:22:08","indexId":"70037301","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"Gastric cryptosporidiosis in freshwater angelfish (Pterophyllum scalare)","docAbstract":"A freshwater angelfish (Pterophyllum scalare) hatchery experienced variable levels of emaciation, poor growth rates, swollen coelomic cavities, anorexia, listlessness, and increased mortality within their fish. Multiple chemotherapeutic trials had been attempted without success. In affected fish, large numbers of protozoa were identified both histologically and ultrastructurally associated with the gastric mucosa. The youngest cohort of parasitized fish was the most severely affected and demonstrated the greatest morbidity and mortality. The protozoa were morphologically most consistent with Cryptosporidium. All of the protozoan life stages were identified ultrastructurally and protozoal genomic DNA was isolated from parasitized tissue viscera and sequenced. Histological, ultrastructural, genetic, and phylogenetic analyses confirmed this protozoal organism to be a novel species of Cryptosporidium.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Veterinary Diagnostic Investigation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10406387","usgsCitation":"Murphy, B., Bradway, D., Walsh, T., Sanders, G., and Snekvik, K., 2009, Gastric cryptosporidiosis in freshwater angelfish (Pterophyllum scalare): Journal of Veterinary Diagnostic Investigation, v. 21, no. 5, p. 722-727.","startPage":"722","endPage":"727","numberOfPages":"6","costCenters":[],"links":[{"id":244969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a14e5e4b0c8380cd54c00","contributors":{"authors":[{"text":"Murphy, B.G.","contributorId":42811,"corporation":false,"usgs":true,"family":"Murphy","given":"B.G.","email":"","affiliations":[],"preferred":false,"id":460349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradway, D.","contributorId":23787,"corporation":false,"usgs":true,"family":"Bradway","given":"D.","email":"","affiliations":[],"preferred":false,"id":460347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, T.","contributorId":65695,"corporation":false,"usgs":true,"family":"Walsh","given":"T.","affiliations":[],"preferred":false,"id":460351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, G.E.","contributorId":49615,"corporation":false,"usgs":true,"family":"Sanders","given":"G.E.","email":"","affiliations":[],"preferred":false,"id":460350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Snekvik, K.","contributorId":32757,"corporation":false,"usgs":true,"family":"Snekvik","given":"K.","affiliations":[],"preferred":false,"id":460348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70161734,"text":"70161734 - 2009 - Ages and lengths of yellow perch <i>Perca flavescens</i>, white perch <i>Morone americana</i>, and lake whitefish <i>Coregonus clupeaformis</i> in commercial trap nets in western Lake Erie","interactions":[],"lastModifiedDate":"2017-04-24T18:16:48","indexId":"70161734","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Ages and lengths of yellow perch <i>Perca flavescens</i>, white perch <i>Morone americana</i>, and lake whitefish <i>Coregonus clupeaformis</i> in commercial trap nets in western Lake Erie","docAbstract":"We collected samples of yellow perch (Perca flavescens) and white perch (Morone americana) in spring, and of lake whitefish (Coregonus clupeaformis) in autumn, from commercial trap nets set in western Lake Erie in 2008.  The yellow perch sample (N = 153) was dominated (72%, of the total sample) by the 2003 year class, followed by the 2005 year class (12%).  The white perch sample (N = 201) was dominated by the 2005 year class (39% of the total sample), followed by the 2003 year class (23%).  The lake whitefish (N = 99) sample was dominated by the 2003 year class (75%) followed by the 2001 year class (10%).  For yellow perch (both sexes in spring, analyzed separately) and lake whitefish (males in autumn), mean total length at age 5 was the same for the 2001 year class (calculated from historical data) and the 2003 year class.","conferenceTitle":"Great Lakes Fishery Commission: Lake Erie Committee Meeting","conferenceDate":"March 23-24, 2009","conferenceLocation":"Ypsilanti, MI","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Stapanian, M.A., Edwards, W., Porta, M.J., Bur, M.T., and Kocovsky, P., 2009, Ages and lengths of yellow perch <i>Perca flavescens</i>, white perch <i>Morone americana</i>, and lake whitefish <i>Coregonus clupeaformis</i> in commercial trap nets in western Lake Erie, Great Lakes Fishery Commission: Lake Erie Committee Meeting, Ypsilanti, MI, March 23-24, 2009, 6 p.","productDescription":"6 p.","ipdsId":"IP-012267","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea8e4b006455f2d6208","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":587579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, William wedwards@usgs.gov","contributorId":3668,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"wedwards@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":587581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porta, Michael J.","contributorId":152026,"corporation":false,"usgs":false,"family":"Porta","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":587577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bur, Michael T.","contributorId":102015,"corporation":false,"usgs":true,"family":"Bur","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":587576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":587580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194436,"text":"70194436 - 2009 - Application of models to conservation planning for terrestrial birds in North America","interactions":[],"lastModifiedDate":"2017-11-28T10:26:16","indexId":"70194436","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of models to conservation planning for terrestrial birds in North America","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\"><p id=\"fsabs022\">Partners in Flight (PIF), a public–private coalition for the conservation of land birds, has developed one of four international bird conservation plans recognized under the auspices of the North American Bird Conservation Initiative (NABCI). Partners in Flight prioritized species most in need of conservation attention and set range-wide population goals for 448 species of terrestrial birds. Partnerships are now tasked with developing spatially explicit estimates of the distribution, and abundance of priority species across large ecoregions and identifying habitat acreages needed to support populations at prescribed levels. The PIF Five Elements process of conservation design identifies five steps needed to implement all bird conservation at the ecoregional scale. Habitat assessment and landscape characterization describe the current amounts of different habitat types and summarize patch characteristics, and landscape configurations that define the ability of a landscape to sustain healthy bird populations and are a valuable first step to describing the planning area before pursuing more complex species-specific models. Spatially linked database models, landscape-scale habitat suitability models, and statistical models are viable alternatives for predicting habitat suitability or bird abundance across large planning areas to help assess conservation opportunities, design landscapes to meet population objectives, and monitor change in habitat suitability or bird numbers over time.</p></div><div id=\"SD_BA1P\" class=\"sgfNoTitleBar sgfNoGadgetBorder svDoNotLink\">Bird conservation in the United States is a good example of the use of models in large-scale wildlife conservation planning because of its geographic extent, focus on multiple species, involvement of multiple partners, and use of simple to complex models. We provide some background on the recent development of bird conservation initiatives in the United States and the approaches used for regional conservation assessment and planning. We focus on approaches being used for landscape characterization and assessment, and bird population response modeling.</div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Models for planning wildlife conservation in large landscapes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-373631-4.00022-8","usgsCitation":"Fitzgerald, J., Thogmartin, W.E., Dettmers, R., Jones, T., Rustay, C., Ruth, J.M., Thompson, F.R., and Will, T., 2009, Application of models to conservation planning for terrestrial birds in North America, chap. <i>of</i> Models for planning wildlife conservation in large landscapes, p. 593-624, https://doi.org/10.1016/B978-0-12-373631-4.00022-8.","productDescription":"32 p.","startPage":"593","endPage":"624","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610cfce4b06e28e9c25755","contributors":{"editors":[{"text":"Millspaugh, Joshua J.","contributorId":22082,"corporation":false,"usgs":true,"family":"Millspaugh","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723784,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Thompson, Frank R. III","contributorId":12608,"corporation":false,"usgs":true,"family":"Thompson","given":"Frank","suffix":"III","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723785,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Fitzgerald, Jane A.","contributorId":76446,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Jane A.","affiliations":[],"preferred":false,"id":723776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":723777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dettmers, Randy","contributorId":48534,"corporation":false,"usgs":true,"family":"Dettmers","given":"Randy","affiliations":[],"preferred":false,"id":723778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Tim","contributorId":149501,"corporation":false,"usgs":false,"family":"Jones","given":"Tim","affiliations":[{"id":17757,"text":"U.S. Fish and Wildlife Service, Atlantic Coast Joint Venture","active":true,"usgs":false}],"preferred":false,"id":723779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rustay, Christopher","contributorId":200912,"corporation":false,"usgs":false,"family":"Rustay","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":723780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723781,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Frank R. III","contributorId":12608,"corporation":false,"usgs":true,"family":"Thompson","given":"Frank","suffix":"III","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723782,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Will, Tom","contributorId":149777,"corporation":false,"usgs":false,"family":"Will","given":"Tom","email":"","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":723783,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034669,"text":"70034669 - 2009 - Eukaryotic viruses in wastewater samples from the United States","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034669","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Eukaryotic viruses in wastewater samples from the United States","docAbstract":"Human fecal matter contains a large number of viruses, and current bacterial indicators used for monitoring water quality do not correlate with the presence of pathogenic viruses. Adenoviruses and enteroviruses have often been used to identify fecal pollution in the environment; however, other viruses shed in fecal matter may more accurately detect fecal pollution. The purpose of this study was to develop a baseline understanding of the types of viruses found in raw sewage. PCR was used to detect adenoviruses, enteroviruses, hepatitis B viruses, herpesviruses, morbilliviruses, noroviruses, papillomaviruses, picobirnaviruses, reoviruses, and rotaviruses in raw sewage collected throughout the United States. Adenoviruses and picobirnaviruses were detected in 100% of raw sewage samples and 25% and 33% of final effluent samples, respectively. Enteroviruses and noroviruses were detected in 75% and 58% of raw sewage samples, respectively, and both viral groups were found in 8% of final effluent samples. This study showed that adenoviruses, enteroviruses, noroviruses, and picobirnaviruses are widespread in raw sewage. Since adenoviruses and picobirnaviruses were detected in 100% of raw sewage samples, they are potential markers of fecal contamination. Additionally, this research uncovered previously unknown sequence diversity in human picobirnaviruses. This baseline understanding of viruses in raw sewage will enable educated decisions to be made regarding the use of different viruses in water quality assessments. Copyright ?? 2009, American Society for Microbiology. All Rights Reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied and Environmental Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1128/AEM.01899-08","issn":"00992240","usgsCitation":"Symonds, E., Griffin, D., and Breitbart, M., 2009, Eukaryotic viruses in wastewater samples from the United States: Applied and Environmental Microbiology, v. 75, no. 5, p. 1402-1409, https://doi.org/10.1128/AEM.01899-08.","startPage":"1402","endPage":"1409","numberOfPages":"8","costCenters":[],"links":[{"id":476249,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.01899-08","text":"External Repository"},{"id":243574,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215751,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1128/AEM.01899-08"}],"volume":"75","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0bcae4b0c8380cd5289a","contributors":{"authors":[{"text":"Symonds, E.M.","contributorId":81331,"corporation":false,"usgs":true,"family":"Symonds","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":446951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Dale W.","contributorId":23668,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":446950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breitbart, M.","contributorId":86991,"corporation":false,"usgs":true,"family":"Breitbart","given":"M.","affiliations":[],"preferred":false,"id":446952,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034398,"text":"70034398 - 2009 - Differential energy radiation from two earthquakes in Japan with identical M<sub>w</sub>: The Kyushu 1996 and Tottori 2000 earthquakes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034398","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Differential energy radiation from two earthquakes in Japan with identical M<sub>w</sub>: The Kyushu 1996 and Tottori 2000 earthquakes","docAbstract":"We examine two closely located earthquakes in Japan that had identical moment magnitudes M<sub>w</sub> but significantly different energy magnitudes M<sub>e</sub>. We use teleseismic data from the Global Seismograph Network and strong-motion data from the National Research Institute for Earth Science and Disaster Prevention's K-Net to analyze the 19 October 1996 Kyushu earthquake (M<sub>w</sub> 6.7, M<sub>e</sub> 6.6) and the 6 October 2000 Tottori earthquake (M<sub>w</sub> 6.7, M<sub>e</sub> 7.4). To obtain regional estimates of radiated energy E<sub>S</sub> we apply a spectral technique to regional (&lt;200 km) waveforms that are dominated by S and Lg waves. For the thrust-fault Kyushu earthquake, we estimate an average regional attenuation Q(f) 230f<sup>0:65</sup>. For the strike-slip Tottori earthquake, the average regional attenuation is Q(f) 180f<sup>0:6</sup>. These attenuation functions are similar to those derived from studies of both California and Japan earthquakes. The regional estimate of E<sub>S</sub> for the Kyushu earthquake, 3:8 ?? 10<sup>14</sup> J, is significantly smaller than that for the Tottori earthquake, E<sub>S</sub> 1:3 ?? 10<sup>15</sup> J. These estimates correspond well with the teleseismic estimates of 3:9 ?? 10<sup>14</sup> J and 1:8 ?? 10<sup>15</sup> J, respectively. The apparent stress (T<sub>a</sub> = ??E<sub>s</sub>/M<sub>0</sub> with ?? equal to rigidity) for the Kyushu earthquake is 4 times smaller than the apparent stress for the Tottori earthquake. In terms of the fault maturity model, the significantly greater release of energy by the strike-slip Tottori earthquake can be related to strong deformation in an immature intraplate setting. The relatively lower energy release of the thrust-fault Kyushu earthquake can be related to rupture on mature faults at a subduction environment. The consistence between teleseismic and regional estimates of E<sub>S</sub> is particularly significant as teleseismic data for computing E<sub>S</sub> are routinely available for all large earthquakes whereas often there are no near-field data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120080078","issn":"00371106","usgsCitation":"Choy, G.L., and Boatwright, J., 2009, Differential energy radiation from two earthquakes in Japan with identical M<sub>w</sub>: The Kyushu 1996 and Tottori 2000 earthquakes: Bulletin of the Seismological Society of America, v. 99, no. 3, p. 1815-1826, https://doi.org/10.1785/0120080078.","startPage":"1815","endPage":"1826","numberOfPages":"12","costCenters":[],"links":[{"id":244854,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216952,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120080078"}],"volume":"99","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-06-07","publicationStatus":"PW","scienceBaseUri":"505a00f7e4b0c8380cd4fa01","contributors":{"authors":[{"text":"Choy, G. L. 0000-0002-0217-5555","orcid":"https://orcid.org/0000-0002-0217-5555","contributorId":78322,"corporation":false,"usgs":true,"family":"Choy","given":"G.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":445596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, J.","contributorId":87297,"corporation":false,"usgs":true,"family":"Boatwright","given":"J.","email":"","affiliations":[],"preferred":false,"id":445597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033813,"text":"70033813 - 2009 - Assessing spatial uncertainty in reservoir characterization for carbon sequestration planning using public well-log data: A case study","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033813","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1541,"text":"Environmental Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessing spatial uncertainty in reservoir characterization for carbon sequestration planning using public well-log data: A case study","docAbstract":"Mapping and characterization of potential geologic reservoirs are key components in planning carbon dioxide (CO<sub>2</sub>) injection projects. The geometry of target and confining layers is vital to ensure that the injected CO<sub>2</sub> remains in a supercritical state and is confined to the target layer. Also, maps of injection volume (porosity) are necessary to estimate sequestration capacity at undrilled locations. Our study uses publicly filed geophysical logs and geostatistical modeling methods to investigate the reliability of spatial prediction for oil and gas plays in the Medina Group (sandstone and shale facies) in northwestern Pennsylvania. Specifically, the modeling focused on two targets: the Grimsby Formation and Whirlpool Sandstone. For each layer, thousands of data points were available to model structure and thickness but only hundreds were available to support volumetric modeling because of the rarity of density-porosity logs in the public records. Geostatistical analysis based on this data resulted in accurate structure models, less accurate isopach models, and inconsistent models of pore volume. Of the two layers studied, only the Whirlpool Sandstone data provided for a useful spatial model of pore volume. Where reliable models for spatial prediction are absent, the best predictor available for unsampled locations is the mean value of the data, and potential sequestration sites should be planned as close as possible to existing wells with volumetric data. ?? 2009. The American Association of Petroleum Geologists/Division of Environmental Geosciences. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1306/eg.04080909008","issn":"10759565","usgsCitation":"Venteris, E., and Carter, K., 2009, Assessing spatial uncertainty in reservoir characterization for carbon sequestration planning using public well-log data: A case study: Environmental Geosciences, v. 16, no. 4, p. 211-234, https://doi.org/10.1306/eg.04080909008.","startPage":"211","endPage":"234","numberOfPages":"24","costCenters":[],"links":[{"id":214501,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1306/eg.04080909008"},{"id":242234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ede2e4b0c8380cd49a96","contributors":{"authors":[{"text":"Venteris, E.R.","contributorId":13017,"corporation":false,"usgs":true,"family":"Venteris","given":"E.R.","email":"","affiliations":[],"preferred":false,"id":442649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, K.M.","contributorId":100209,"corporation":false,"usgs":true,"family":"Carter","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":442650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034397,"text":"70034397 - 2009 - An enriched stable-isotope approach to determine the gill-zinc binding properties of juvenile rainbow trout (Oncorhynchus mykiss) during acute zinc exposures in hard and soft waters","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034397","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"An enriched stable-isotope approach to determine the gill-zinc binding properties of juvenile rainbow trout (Oncorhynchus mykiss) during acute zinc exposures in hard and soft waters","docAbstract":"The objective of the present study was to employ an enriched stable-isotope approach to characterize Zn uptake in the gills of rainbow trout (Oncorhynchus mykiss) during acute Zn exposures in hard water (???140 mg/L as CaCO <sub>3</sub>) and soft water (???30 mg/L as CaCO<sub>3</sub>). Juvenile rainbow trout were acclimated to the test hardnesses and then exposed for up to 72 h in static exposures to a range of Zn concentrations in hard water (0-1,000 ??g/L) and soft water (0-250 ??g/L). To facilitate detection of new gill Zn from endogenous gill Zn, the exposure media was significantly enriched with <sup>67</sup>Zn stable isotope (89.60% vs 4.1% natural abundance). Additionally, acute Zn toxicity thresholds (96-h median lethal concentration [LC50]) were determined experimentally through traditional, flow-through toxicity tests in hard water (580 ??g/L) and soft water (110 ??g/L). Following short-term (???3 h) exposures, significant differences in gill accumulation of Zn between hard and soft water treatments were observed at the three common concentrations (75, 150, and 250 ??g/L), with soft water gills accumulating more Zn than hard water gills. Short-term gill Zn accumulation at hard and soft water LC50s (45-min median lethal accumulation) was similar (0.27 and 0.20 ??g/g wet wt, respectively). Finally, comparison of experimental gill Zn accumulation, with accumulation predicted by the biotic ligand model, demonstrated that model output reflected short-term (&lt;1 h) experimental gill Zn accumulation and predicted observed differences in accumulation between hard and soft water rainbow trout gills. Our results indicate that measurable differences exist in short-term gill Zn accumulation following acclimation and exposure in different water hardnesses and that short-term Zn accumulation appears to be predictive of Zn acute toxicity thresholds (96-h LC50s). ?? 2009 SETAC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1897/08-252.1","issn":"07307268","usgsCitation":"Todd, A., Brinkman, S., Wolf, R., Lamothe, P.J., Smith, K., and Ranville, J., 2009, An enriched stable-isotope approach to determine the gill-zinc binding properties of juvenile rainbow trout (Oncorhynchus mykiss) during acute zinc exposures in hard and soft waters: Environmental Toxicology and Chemistry, v. 28, no. 6, p. 1233-1243, https://doi.org/10.1897/08-252.1.","startPage":"1233","endPage":"1243","numberOfPages":"11","costCenters":[],"links":[{"id":244853,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216951,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/08-252.1"}],"volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-06-01","publicationStatus":"PW","scienceBaseUri":"5059ea3ce4b0c8380cd48712","contributors":{"authors":[{"text":"Todd, A.S.","contributorId":53622,"corporation":false,"usgs":true,"family":"Todd","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":445593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinkman, S.","contributorId":75781,"corporation":false,"usgs":true,"family":"Brinkman","given":"S.","email":"","affiliations":[],"preferred":false,"id":445595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, R.E.","contributorId":11827,"corporation":false,"usgs":true,"family":"Wolf","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":445590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamothe, P. J.","contributorId":45672,"corporation":false,"usgs":true,"family":"Lamothe","given":"P.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":445591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, K. S. 0000-0001-8547-9804","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":47779,"corporation":false,"usgs":true,"family":"Smith","given":"K. S.","affiliations":[],"preferred":false,"id":445592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ranville, J. F.","contributorId":54245,"corporation":false,"usgs":true,"family":"Ranville","given":"J. F.","affiliations":[],"preferred":false,"id":445594,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034640,"text":"70034640 - 2009 - Developing framework to constrain the geometry of the seismic rupture plane on subduction interfaces a priori - A probabilistic approach","interactions":[],"lastModifiedDate":"2013-04-24T21:38:01","indexId":"70034640","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Developing framework to constrain the geometry of the seismic rupture plane on subduction interfaces a priori - A probabilistic approach","docAbstract":"A key step in many earthquake source inversions requires knowledge of the geometry of the fault surface on which the earthquake occurred. Our knowledge of this surface is often uncertain, however, and as a result fault geometry misinterpretation can map into significant error in the final temporal and spatial slip patterns of these inversions. Relying solely on an initial hypocentre and CMT mechanism can be problematic when establishing rupture characteristics needed for rapid tsunami and ground shaking estimates.\n\nHere, we attempt to improve the quality of fast finite-fault inversion results by combining several independent and complementary data sets to more accurately constrain the geometry of the seismic rupture plane of subducting slabs. Unlike previous analyses aimed at defining the general form of the plate interface, we require mechanisms and locations of the seismicity considered in our inversions to be consistent with their occurrence on the plate interface, by limiting events to those with well-constrained depths and with CMT solutions indicative of shallow-dip thrust faulting. We construct probability density functions about each location based on formal assumptions of their depth uncertainty and use these constraints to solve for the ‘most-likely’ fault plane.\n\nExamples are shown for the trench in the source region of the M<sub>w</sub> 8.6 Southern Sumatra earthquake of March 2005, and for the Northern Chile Trench in the source region of the November 2007 Antofagasta earthquake. We also show examples using only the historic catalogues in regions without recent great earthquakes, such as the Japan and Kamchatka Trenches. In most cases, this method produces a fault plane that is more consistent with all of the data available than is the plane implied by the initial hypocentre and CMT mechanism. Using the aggregated data sets, we have developed an algorithm to rapidly determine more accurate initial fault plane geometries for source inversions of future earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford Journals","doi":"10.1111/j.1365-246X.2008.04035.x","issn":"0956540X","usgsCitation":"Hayes, G., and Wald, D., 2009, Developing framework to constrain the geometry of the seismic rupture plane on subduction interfaces a priori - A probabilistic approach: Geophysical Journal International, v. 176, no. 3, p. 951-964, https://doi.org/10.1111/j.1365-246X.2008.04035.x.","productDescription":"14 p.","startPage":"951","endPage":"964","costCenters":[{"id":415,"text":"National Earthquake Information Center","active":false,"usgs":true}],"links":[{"id":487802,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2008.04035.x","text":"Publisher Index Page"},{"id":215806,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2008.04035.x"},{"id":243632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"176","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0010e4b0c8380cd4f57f","contributors":{"authors":[{"text":"Hayes, G.P.","contributorId":75764,"corporation":false,"usgs":true,"family":"Hayes","given":"G.P.","email":"","affiliations":[],"preferred":false,"id":446821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":446820,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034639,"text":"70034639 - 2009 - Rupture parameters of the 2003 Zemmouri (M<sub>w</sub> 6.8), Algeria, earthquake from joint inversion of interferometric synthetic aperture radar, coastal uplift, and GPS","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034639","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Rupture parameters of the 2003 Zemmouri (M<sub>w</sub> 6.8), Algeria, earthquake from joint inversion of interferometric synthetic aperture radar, coastal uplift, and GPS","docAbstract":"We study the surface deformation associated with the 21 May 2003 (M <sub>w</sub> = 6.8) Zemmouri (Algeria) earthquake, the strongest seismic event felt in the Algiers region since 1716. The thrust earthquake mechanism and related surface deformation revealed an average 0.50 m coastal uplift along ??55-km-long coastline. We obtain coseismic interferograms using Envisat advanced synthetic aperture radar (ASAR) (IS2) and RADARSAT standard beam (ST4) data from both the ascending and descending orbits of Envisat satellite, whereas the RADARSAT data proved useful only in the descending mode. While the two RADARSAT interferograms cover the earthquake area, Envisat data cover only the western half of the rupture zone. Although the interferometric synthetic aperture radar (InSAR) coherence in the epicenter area is poor, deformation fringes are observed along the coast in different patches. In the Boumerdes area, the maximum coseismic deformation is indicated by the high gradient of fringes visible in all interferograms in agreement with field measurements (tape, differential GPS, leveling, and GPS). To constrain the earthquake rupture parameters, we model the interferograms and uplift measurements using elastic dislocations on triangular fault patches in an elastic and homogeneous half-space. We invert the coseismic slip using first, a planar surface and second, a curved fault, both constructed from triangular elements using Poly3Dinv program that uses a damped least square minimization. The best fit of InSAR, coastal uplift, and GPS data corresponds to a 65-km-long fault rupture dipping 40?? to 50?? SE, located at 8 to 13 km offshore with a change in strike west of Boumerdes from N60??-65?? to N95??-105??. The inferred rupture geometry at depth correlates well with the seismological results and may have critical implications for the seismic hazard assessment of the Algiers region. Copyright 2009 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2008JB005912","issn":"01480227","usgsCitation":"Belabbes, S., Wicks, C., Cakir, Z., and Meghraoui, M., 2009, Rupture parameters of the 2003 Zemmouri (M<sub>w</sub> 6.8), Algeria, earthquake from joint inversion of interferometric synthetic aperture radar, coastal uplift, and GPS: Journal of Geophysical Research F: Earth Surface, v. 114, no. 3, https://doi.org/10.1029/2008JB005912.","costCenters":[],"links":[{"id":487803,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2008jb005912","text":"Publisher Index Page"},{"id":215805,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2008JB005912"},{"id":243631,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-03-20","publicationStatus":"PW","scienceBaseUri":"505aaed6e4b0c8380cd8724d","contributors":{"authors":[{"text":"Belabbes, S.","contributorId":13461,"corporation":false,"usgs":true,"family":"Belabbes","given":"S.","email":"","affiliations":[],"preferred":false,"id":446817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wicks, Charles 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":9023,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":446816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cakir, Z.","contributorId":62005,"corporation":false,"usgs":true,"family":"Cakir","given":"Z.","email":"","affiliations":[],"preferred":false,"id":446819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meghraoui, M.","contributorId":35539,"corporation":false,"usgs":true,"family":"Meghraoui","given":"M.","email":"","affiliations":[],"preferred":false,"id":446818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033805,"text":"70033805 - 2009 - Geologic columns for the ICDP-USGS Eyreville A and C cores, Chesapeake Bay impact structure: Postimpact sediments, 444 to 0 m depth","interactions":[],"lastModifiedDate":"2020-03-27T06:43:31","indexId":"70033805","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Geologic columns for the ICDP-USGS Eyreville A and C cores, Chesapeake Bay impact structure: Postimpact sediments, 444 to 0 m depth","docAbstract":"<p>A 443.9-m-thick, virtually undisturbed section of postimpact deposits in the Chesapeake Bay impact structure was recovered in the Eyreville A and C cores, Northampton County, Virginia, within the \"moat\" of the structure's central crater. Recovered sediments are mainly fine-grained marine siliciclastics, with the exception of Pleistocene sand, clay, and gravel. The lowest postimpact unit is the upper Eocene Chickahominy Formation (443.9-350.1 m). At 93.8 m, this is the maximum thickness yet recovered for deposits that represent the return to \"normal marine\" sedimentation. The Drummonds Corner beds (informal) and the Old Church Formation are thin Oligocene units present between 350.1 and 344.7 m. Above the Oligocene, there is a more typical Virginia coastal plain succession. The Calvert Formation (344.7-225.4 m) includes a thin lower Miocene part overlain by a much thicker middle Miocene part. From 225.4 to 206.0 m, sediments of the middle Miocene Choptank Formation, rarely reported in the Virginia coastal plain, are present. The thick upper Miocene St. Marys and Eastover Formations (206.0-57.8 m) appear to represent a more complete succession than in the type localities. Correlation with the nearby Kiptopeke core indicates that two Pliocene units are present: Yorktown (57.8-32.2 m) and Chowan River Formations (32.2-18.3 m). Sediments at the top of the section represent an upper Pleistocene channel-fill and are assigned to the Butlers Bluff and Occohannock Members of the Nassawadox Formation (18.3-0.6 m).</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2009.2458(04)","issn":"00721077","usgsCitation":"Edwards, L.E., Powars, D.S., Browning, J., McLaughlin, P., Miller, K., Self-Trail J.M., Kulpecz, A., and Elbra, T., 2009, Geologic columns for the ICDP-USGS Eyreville A and C cores, Chesapeake Bay impact structure: Postimpact sediments, 444 to 0 m depth: Special Paper of the Geological Society of America, no. 458, p. 91-114, https://doi.org/10.1130/2009.2458(04).","productDescription":"24 p.","startPage":"91","endPage":"114","numberOfPages":"24","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":242069,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.54150390625,\n              36.73888412439431\n            ],\n            [\n              -75.157470703125,\n              36.73888412439431\n            ],\n            [\n              -75.157470703125,\n              39.70718665682654\n            ],\n            [\n              -77.54150390625,\n              39.70718665682654\n            ],\n            [\n              -77.54150390625,\n              36.73888412439431\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"458","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1938e4b0c8380cd558f9","contributors":{"authors":[{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":442579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":442580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Browning, J.V.","contributorId":18889,"corporation":false,"usgs":true,"family":"Browning","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":442582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, P.P. Jr.","contributorId":68122,"corporation":false,"usgs":true,"family":"McLaughlin","given":"P.P.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":442584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, K.G.","contributorId":18094,"corporation":false,"usgs":true,"family":"Miller","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":442581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Self-Trail J.M.","contributorId":128180,"corporation":true,"usgs":false,"organization":"Self-Trail J.M.","id":535161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kulpecz, A.A.","contributorId":46672,"corporation":false,"usgs":true,"family":"Kulpecz","given":"A.A.","affiliations":[],"preferred":false,"id":442583,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elbra, T.","contributorId":79315,"corporation":false,"usgs":true,"family":"Elbra","given":"T.","email":"","affiliations":[],"preferred":false,"id":442586,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033804,"text":"70033804 - 2009 - Variations of thiaminase I activity pH dependencies among typical Great Lakes forage fish and Paenibacillus thiaminolyticus.","interactions":[],"lastModifiedDate":"2018-10-05T10:32:38","indexId":"70033804","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Variations of thiaminase I activity pH dependencies among typical Great Lakes forage fish and Paenibacillus thiaminolyticus.","docAbstract":"The source of thiaminase in the Great Lakes food web remains unknown. Biochemical characterization of the thiaminase I activities observed in forage fish was undertaken to provide insights into potential thiaminase sources and to optimize catalytic assay conditions. We measured the thiaminase I activities of crude extracts from five forage fish species and one strain of Paenibacillus thiaminolyticus over a range of pH values. The clupeids, alewife Alosa pseudoharengus and gizzard shad Dorosoma cepedianum, had very similar thiaminase I pH dependencies, with optimal activity ranges (> or = 90% of maximum activity) between pH 4.6 and 5.5. Rainbow smelt Osmerus mordax and spottail shiner Notropis hudsonius had optimal activity ranges between pH 5.5-6.6. The thiaminase I activity pH dependence profile of P. thiaminolyticus had an optimal activity range between pH 5.4 and 6.3, which was similar to the optimal range for rainbow smelt and spottail shiners. Incubation of P. thiaminolyticus extracts with extracts from bloater Coregonus hoyi (normally, bloaters have little or no detectable thiaminase I activity) did not significantly alter the pH dependence profile of P. thiaminolyticus-derived thiaminase I, such that it continued to resemble that of the rainbow smelt and spottail shiner, with an apparent optimal activity range between pH 5.7 and 6.6. These data are consistent with the hypothesis of a bacterial source for thiaminase I in the nonclupeid species of forage fish; however, the data also suggest different sources of thiaminase I enzymes in the clupeid species.","language":"English","publisher":"AFS","doi":"10.1577/H07-052.1","issn":"08997659","usgsCitation":"Zajicek, J., Brown, L., Brown, S., Honeyfield, D., Fitzsimons, J., and Tillitt, D.E., 2009, Variations of thiaminase I activity pH dependencies among typical Great Lakes forage fish and Paenibacillus thiaminolyticus.: Journal of Aquatic Animal Health, v. 21, no. 4, p. 207-216, https://doi.org/10.1577/H07-052.1.","productDescription":"10 p.","startPage":"207","endPage":"216","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":242036,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214319,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/H07-052.1"}],"volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-12-01","publicationStatus":"PW","scienceBaseUri":"505bc197e4b08c986b32a678","contributors":{"authors":[{"text":"Zajicek, J.L.","contributorId":87086,"corporation":false,"usgs":true,"family":"Zajicek","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":442577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, L. 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":56995,"corporation":false,"usgs":true,"family":"Brown","given":"L.","affiliations":[],"preferred":false,"id":442574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, S.B.","contributorId":107636,"corporation":false,"usgs":true,"family":"Brown","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":442578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Honeyfield, D. C. 0000-0003-3034-2047","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":73136,"corporation":false,"usgs":true,"family":"Honeyfield","given":"D. C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":442575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimons, J.D.","contributorId":50845,"corporation":false,"usgs":true,"family":"Fitzsimons","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":442573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tillitt, D. E.","contributorId":83462,"corporation":false,"usgs":true,"family":"Tillitt","given":"D.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":442576,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034156,"text":"70034156 - 2009 - The great 2006 heat wave over California and Nevada: Signal of an increasing trend","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034156","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"The great 2006 heat wave over California and Nevada: Signal of an increasing trend","docAbstract":"Most of the great California-Nevada heat waves can be classified into primarily daytime or nighttime events depending on whether atmospheric conditions are dry or humid. A rash of nighttime-accentuated events in the last decade was punctuated by an unusually intense case in July 2006, which was the largest heat wave on record (1948-2006). Generally, there is a positive trend in heat wave activity over the entire region that is expressed most strongly and clearly in nighttime rather than daytime temperature extremes. This trend in nighttime heat wave activity has intensified markedly since the 1980s and especially since 2000. The two most recent nighttime heat waves were also strongly expressed in extreme daytime temperatures. Circulations associated with great regional heat waves advect hot air into the region. This air can be dry or moist, depending on whether a moisture source is available, causing heat waves to be expressed preferentially during day or night. A remote moisture source centered within a marine region west of Baja California has been increasing in prominence because of gradual sea surface warming and a related increase in atmospheric humidity. Adding to the very strong synoptic dynamics during the 2006 heat wave were a prolonged stream of moisture from this southwestern source and, despite the heightened humidity, an environment in which afternoon convection was suppressed, keeping cloudiness low and daytime temperatures high. The relative contributions of these factors and possible relations to global warming are discussed. ?? 2009 American Meteorological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Climate","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2009JCLI2465.1","issn":"08948755","usgsCitation":"Gershunov, A., Cayan, D., and Iacobellis, S., 2009, The great 2006 heat wave over California and Nevada: Signal of an increasing trend: Journal of Climate, v. 22, no. 23, p. 6181-6203, https://doi.org/10.1175/2009JCLI2465.1.","startPage":"6181","endPage":"6203","numberOfPages":"23","costCenters":[],"links":[{"id":216758,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2009JCLI2465.1"},{"id":244645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"23","noUsgsAuthors":false,"publicationDate":"2009-12-01","publicationStatus":"PW","scienceBaseUri":"505bac98e4b08c986b3235e1","contributors":{"authors":[{"text":"Gershunov, A.","contributorId":6222,"corporation":false,"usgs":true,"family":"Gershunov","given":"A.","affiliations":[],"preferred":false,"id":444355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":444356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iacobellis, S.F.","contributorId":26160,"corporation":false,"usgs":true,"family":"Iacobellis","given":"S.F.","affiliations":[],"preferred":false,"id":444357,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034391,"text":"70034391 - 2009 - Introduction to special section on impacts of land use change on water resources","interactions":[],"lastModifiedDate":"2018-10-03T10:46:28","indexId":"70034391","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","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":"Introduction to special section on impacts of land use change on water resources","docAbstract":"<p><span>Changes in land use have potentially large impacts on water resources, yet quantifying these impacts remains among the more challenging problems in hydrology. Water, food, energy, and climate are linked through complex webs of direct and indirect effects and feedbacks. Land use is undergoing major changes due not only to pressures for more efficient food, feed, and fiber production to support growing populations but also due to policy shifts that are creating markets for biofuel and agricultural carbon sequestration. Hydrologic systems embody flows of water, solutes, sediments, and energy that vary even in the absence of human activity. Understanding land use impacts thus necessitates integrated scientific approaches. Field measurements, remote sensing, and modeling studies are shedding new light on the modes and mechanisms by which land use changes impact water resources. Such studies can help deconflate the interconnected influences of human actions and natural variations on the quantity and quality of soil water, surface water, and groundwater, past, present, and future.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR007937","usgsCitation":"Stonestrom, D.A., Scanlon, B., and Zhang, L., 2009, Introduction to special section on impacts of land use change on water resources: Water Resources Research, v. 45, no. 7, Article W00A00; 3 p., https://doi.org/10.1029/2009WR007937.","productDescription":"Article W00A00; 3 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244753,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"7","noUsgsAuthors":false,"publicationDate":"2009-06-17","publicationStatus":"PW","scienceBaseUri":"505a3df2e4b0c8380cd63994","contributors":{"authors":[{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":445573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":445572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Lu","contributorId":105238,"corporation":false,"usgs":true,"family":"Zhang","given":"Lu","email":"","affiliations":[],"preferred":false,"id":445571,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034265,"text":"70034265 - 2009 - Broadening our approaches to studying dispersal in raptors","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034265","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Broadening our approaches to studying dispersal in raptors","docAbstract":"Dispersal is a behavioral process having consequences for individual fitness and population dynamics. Recent advances in technology have spawned new theoretical examinations and empirical studies of the dispersal process in birds, providing opportunities for examining how this information may be applied to studies of the dispersal process in raptors. Many raptors are the focus of conservation efforts; thus, reliable data on all aspects of a species' population dynamics, including dispersal distances, movement rates, and mortality rates of dispersers, are required for population viability analyses that are increasingly used to inform management. Here, we address emerging issues and novel approaches used in the study of avian dispersal, and provide suggestions to consider when developing and implementing studies of dispersal in raptors. Clarifying study objectives is essential for selection of an appropriate methodology and sample size needed to obtain accurate estimates of movement distances and rates. Identifying an appropriate study-area size will allow investigators to avoid underestimating population connectivity and important population parameters. Because nomadic individuals of some species use temporary settling areas or home ranges before breeding, identification of these areas is critical for conservation efforts focusing on habitats other than breeding sites. Study designs for investigating raptor dispersal also should include analysis of environmental and social factors influencing dispersal, to improve our understanding of condition-dependent dispersal strategies. Finally, we propose a terminology for use in describing the variety of movements associated with dispersal behavior in raptors, and we suggest this terminology could be used consistently to facilitate comparisons among studies. ?? 2009 The Raptor Research Foundation, Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Raptor Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3356/JRR-08-33.1","issn":"08921016","usgsCitation":"Morrison, J.L., and Wood, P., 2009, Broadening our approaches to studying dispersal in raptors: Journal of Raptor Research, v. 43, no. 2, p. 81-89, https://doi.org/10.3356/JRR-08-33.1.","startPage":"81","endPage":"89","numberOfPages":"9","costCenters":[],"links":[{"id":476211,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-08-33.1","text":"Publisher Index Page"},{"id":216881,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3356/JRR-08-33.1"},{"id":244779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f288e4b0c8380cd4b225","contributors":{"authors":[{"text":"Morrison, J. L.","contributorId":28012,"corporation":false,"usgs":true,"family":"Morrison","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":444983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, P.B. 0000-0002-8575-1705","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":103992,"corporation":false,"usgs":true,"family":"Wood","given":"P.B.","affiliations":[],"preferred":false,"id":444984,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034264,"text":"70034264 - 2009 - Halogen degassing during ascent and eruption of water-poor basaltic magma","interactions":[],"lastModifiedDate":"2017-10-25T12:21:50","indexId":"70034264","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Halogen degassing during ascent and eruption of water-poor basaltic magma","docAbstract":"A study of volcanic gas composition and matrix glass volatile concentrations has allowed a model for halogen degassing to be formulated for K??lauea Volcano, Hawai'i. Volcanic gases emitted during 2004-2005 were characterised by a molar SO<sub>2</sub>/HCl of 10-64, with a mean of 33; and a molar HF/HCl of 0-5, with a mean of 1.0 (from approximately 2500 measurements). The HF/HCl ratio was more variable than the SO<sub>2</sub>/HCl ratio, and the two correlate weakly. Variations in ratio took place over rapid timescales (seconds). Matrix glasses of Pele's tears erupted in 2006 have a mean S, Cl and F content of 67, 85 and 173??ppm respectively, but are associated with a large range in S/F. A model is developed that describes the open system degassing of halogens from parental magmas, using the glass data from this study, previously published results and parameterisation of sulphur degassing from previous work. The results illustrate that halogen degassing takes place at pressures of &lt; 1??MPa, equivalent to &lt; ~ 35??m in the conduit. Fluid-melt partition coefficients for Cl and F are low (&lt; 1.5); F only degasses appreciably at &lt; 0.1??MPa above atmospheric pressure, virtually at the top of the magma column. This model reproduces the volcanic gas data and other observations of volcanic activity well and is consistent with other studies of halogen degassing from basaltic magmas. The model suggests that variation in volcanic gas halogen ratios is caused by exsolution and gas-melt separation at low pressures in the conduit. There is no evidence that either diffusive fractionation or near-vent chemical reactions involving halogens is important in the system, although these processes cannot be ruled out. The fluxes of HCl and HF from K??lauea during 2004-5 were ~ 25 and 12??t/d respectively. ?? 2008 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.chemgeo.2008.09.022","issn":"00092541","usgsCitation":"Edmonds, M., Gerlach, T., and Herd, R.A., 2009, Halogen degassing during ascent and eruption of water-poor basaltic magma: Chemical Geology, v. 263, no. 1-4, p. 122-130, https://doi.org/10.1016/j.chemgeo.2008.09.022.","productDescription":"9 p.","startPage":"122","endPage":"130","numberOfPages":"9","ipdsId":"IP-012286","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":244746,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216850,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2008.09.022"}],"volume":"263","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f5ce4b0c8380cd5cd15","contributors":{"authors":[{"text":"Edmonds, M.","contributorId":43547,"corporation":false,"usgs":true,"family":"Edmonds","given":"M.","email":"","affiliations":[],"preferred":false,"id":444981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerlach, T.M.","contributorId":38713,"corporation":false,"usgs":true,"family":"Gerlach","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":444980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herd, Richard A.","contributorId":95663,"corporation":false,"usgs":true,"family":"Herd","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":444982,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034613,"text":"70034613 - 2009 - Soil nitrogen balance under wastewater management: Field measurements and simulation results","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034613","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Soil nitrogen balance under wastewater management: Field measurements and simulation results","docAbstract":"The use of treated wastewater for irrigation of crops could result in high nitrate-nitrogen (NO3-N) concentrations in the vadose zone and ground water. The goal of this 2-yr field-monitoring study in the deep silty clay loam soils south of Dodge City, Kansas, was to assess how and under what circumstances N from the secondary-treated, wastewater-irrigated corn reached the deep (20-45 m) water table of the underlying High Plains aquifer and what could be done to minimize this problem. We collected 15.2-m-deep soil cores for characterization of physical and chemical properties; installed neutron probe access tubes to measure soil-water content and suction lysimeters to sample soil water periodically; sampled monitoring, irrigation, and domestic wells in the area; and obtained climatic, crop, irrigation, and N application rate records for two wastewater-irrigated study sites. These data and additional information were used to run the Root Zone Water Quality Model to identify key parameters and processes that influence N losses in the study area. We demonstrated that NO3-N transport processes result in significant accumulations of N in the vadose zone and that NO3-N in the underlying ground water is increasing with time. Root Zone Water Quality Model simulations for two wastewater-irrigated study sites indicated that reducing levels of corn N fertilization by more than half to 170 kg ha-1 substantially increases N-use efficiency and achieves near-maximum crop yield. Combining such measures with a crop rotation that includes alfalfa should further reduce the accumulation and downward movement of NO3-N in the soil profile. Copyright ?? 2009 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2134/jeq2008.0318","issn":"00472425","usgsCitation":"Sophocleous, M., Townsend, M., Vocasek, F., Ma, L., and KC, A., 2009, Soil nitrogen balance under wastewater management: Field measurements and simulation results: Journal of Environmental Quality, v. 38, no. 3, p. 1286-1301, https://doi.org/10.2134/jeq2008.0318.","startPage":"1286","endPage":"1301","numberOfPages":"16","costCenters":[],"links":[{"id":215891,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2008.0318"},{"id":243726,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b920ee4b08c986b319c85","contributors":{"authors":[{"text":"Sophocleous, M.","contributorId":13373,"corporation":false,"usgs":true,"family":"Sophocleous","given":"M.","email":"","affiliations":[],"preferred":false,"id":446666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Townsend, M.A.","contributorId":88785,"corporation":false,"usgs":true,"family":"Townsend","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":446670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vocasek, F.","contributorId":51996,"corporation":false,"usgs":true,"family":"Vocasek","given":"F.","email":"","affiliations":[],"preferred":false,"id":446668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ma, Liwang","contributorId":29140,"corporation":false,"usgs":true,"family":"Ma","given":"Liwang","email":"","affiliations":[],"preferred":false,"id":446667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"KC, A.","contributorId":84587,"corporation":false,"usgs":true,"family":"KC","given":"A.","email":"","affiliations":[],"preferred":false,"id":446669,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}