{"pageNumber":"1845","pageRowStart":"46100","pageSize":"25","recordCount":184617,"records":[{"id":70035618,"text":"70035618 - 2011 - Sphaeridiotrema globulus and Sphaeridiotrema pseudoglobulus (Digenea): Species differentiation based on mtDNA (Barcode) and partial LSUrDNA sequences","interactions":[],"lastModifiedDate":"2021-04-08T16:04:55.080624","indexId":"70035618","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sphaeridiotrema globulus and Sphaeridiotrema pseudoglobulus (Digenea): Species differentiation based on mtDNA (Barcode) andpartial LSUrDNA sequences","title":"Sphaeridiotrema globulus and Sphaeridiotrema pseudoglobulus (Digenea): Species differentiation based on mtDNA (Barcode) and partial LSUrDNA sequences","docAbstract":"Flukes belonging to Sphaeridiotrema are important parasites of waterfowl, and 2 morphologically similar species Sphaeridiotrema globulus and Sphaeridiotrema pseudoglobulus, have been implicated in waterfowl mortality in North America. Cytochrome oxidase I (barcode region) and partial LSU-rDNA sequences from specimens of S. globulus and S. pseudoglobulus, obtained from naturally and experimentally infected hosts from New Jersey and Quebec, respectively, confirmed that these species were distinct. Barcode sequences of the 2 species differed at 92 of 590 nucleotide positions (15.6%) and the translated sequences differed by 13 amino acid residues. Partial LSU-rDNA sequences differed at 29 of 1,208 nucleotide positions (2.4%). Additional barcode sequences from specimens collected from waterfowl in Wisconsin and Minnesota and morphometric data obtained from specimens acquired along the north shore of Lake Superior revealed the presence of S. pseudoglobulus in these areas. Although morphometric data suggested the presence of S. globulus in the Lake Superior sample, it was not found among the specimens sequenced from Wisconsin or Minnesota.
","language":"English","publisher":"American Society of Parasitologists","doi":"10.1645/GE-2370.1","usgsCitation":"Bergmame, L., Huffman, J., Cole, R.A., Dayanandan, S., Tkach, V., and McLaughlin, J., 2011, Sphaeridiotrema globulus and Sphaeridiotrema pseudoglobulus (Digenea): Species differentiation based on mtDNA (Barcode) and partial LSUrDNA sequences: Journal of Parasitology, v. 97, no. 6, p. 1132-1136, https://doi.org/10.1645/GE-2370.1.","productDescription":"5 p.","startPage":"1132","endPage":"1136","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":244326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5830078125,\n 42.61779143282346\n ],\n [\n -87.78076171875,\n 43.30919109985686\n ],\n [\n -86.66015624999999,\n 45.521743896993634\n ],\n [\n -87.5830078125,\n 45.1510532655634\n ],\n [\n -87.86865234374999,\n 45.75219336063106\n ],\n [\n -88.26416015625,\n 46.027481852486645\n ],\n [\n -90.1318359375,\n 46.392411189814645\n ],\n [\n -90.263671875,\n 46.558860303117164\n ],\n [\n -90.5712890625,\n 46.66451741754235\n ],\n [\n -89.7802734375,\n 47.97521412341618\n ],\n [\n -90.90087890624999,\n 48.23930899024907\n ],\n [\n -91.4501953125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.356249029540734\n ],\n [\n -92.35107421874999,\n 48.28319289548349\n ],\n [\n -92.59277343749999,\n 48.45835188280866\n ],\n [\n -93.31787109374999,\n 48.647427805533546\n ],\n [\n -93.8671875,\n 48.516604348867475\n ],\n [\n -94.68017578125,\n 48.76343113791796\n ],\n [\n -94.7900390625,\n 49.31079887964633\n ],\n [\n -95.00976562499999,\n 49.33944093715546\n ],\n [\n -95.16357421875,\n 48.980216985374994\n ],\n [\n -97.22900390625,\n 48.951366470947725\n ],\n [\n -96.8115234375,\n 47.724544549099676\n ],\n [\n -96.78955078125,\n 46.76996843356982\n ],\n [\n -96.56982421875,\n 45.85941212790755\n ],\n [\n -96.8115234375,\n 45.62940492064501\n ],\n [\n -96.45996093749999,\n 45.29034662473613\n ],\n [\n -96.39404296875,\n 43.48481212891603\n ],\n [\n -91.25244140624999,\n 43.5326204268101\n ],\n [\n -91.0986328125,\n 43.229195113965005\n ],\n [\n -91.12060546875,\n 42.94033923363181\n ],\n [\n -90.791015625,\n 42.58544425738491\n ],\n [\n -87.5830078125,\n 42.61779143282346\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"97","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b95c1e4b08c986b31b0db","contributors":{"authors":[{"text":"Bergmame, L.","contributorId":73848,"corporation":false,"usgs":true,"family":"Bergmame","given":"L.","email":"","affiliations":[],"preferred":false,"id":451486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huffman, J.","contributorId":80114,"corporation":false,"usgs":true,"family":"Huffman","given":"J.","email":"","affiliations":[],"preferred":false,"id":451487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":451485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dayanandan, S.","contributorId":20181,"corporation":false,"usgs":true,"family":"Dayanandan","given":"S.","email":"","affiliations":[],"preferred":false,"id":451484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tkach, V.","contributorId":10248,"corporation":false,"usgs":true,"family":"Tkach","given":"V.","email":"","affiliations":[],"preferred":false,"id":451483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLaughlin, J.D.","contributorId":96116,"corporation":false,"usgs":true,"family":"McLaughlin","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":451488,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035552,"text":"70035552 - 2011 - Western Arctic Ocean temperature variability during the last 8000 years","interactions":[],"lastModifiedDate":"2013-04-16T10:48:19","indexId":"70035552","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Western Arctic Ocean temperature variability during the last 8000 years","docAbstract":"We reconstructed subsurface (∼200–400 m) ocean temperature and sea-ice cover in the Canada Basin, western Arctic Ocean from foraminiferal δ18O, ostracode Mg/Ca ratios, and dinocyst assemblages from two sediment core records covering the last 8000 years. Results show mean temperature varied from −1 to 0.5°C and −0.5 to 1.5°C at 203 and 369 m water depths, respectively. Centennial-scale warm periods in subsurface temperature records correspond to reductions in summer sea-ice cover inferred from dinocyst assemblages around 6.5 ka, 3.5 ka, 1.8 ka and during the 15th century Common Era. These changes may reflect centennial changes in the temperature and/or strength of inflowing Atlantic Layer water originating in the eastern Arctic Ocean. By comparison, the 0.5 to 0.7°C warm temperature anomaly identified in oceanographic records from the Atlantic Layer of the Canada Basin exceeded reconstructed Atlantic Layer temperatures for the last 1200 years by about 0.5°C.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011GL049714","issn":"00948276","usgsCitation":"Farmer, J.R., Cronin, T.M., De Vernal, A., Dwyer, G., Keigwin, L.D., and Thunell, R.C., 2011, Western Arctic Ocean temperature variability during the last 8000 years: Geophysical Research Letters, v. 38, no. 24, https://doi.org/10.1029/2011GL049714.","costCenters":[],"links":[{"id":475405,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049714","text":"Publisher Index Page"},{"id":216039,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049714"},{"id":243878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"24","noUsgsAuthors":false,"publicationDate":"2011-12-17","publicationStatus":"PW","scienceBaseUri":"505bcfffe4b08c986b32ec0e","contributors":{"authors":[{"text":"Farmer, Jesse R.","contributorId":35564,"corporation":false,"usgs":true,"family":"Farmer","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":451205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","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":451204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Vernal, Anne","contributorId":42057,"corporation":false,"usgs":true,"family":"De Vernal","given":"Anne","email":"","affiliations":[],"preferred":false,"id":451206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, Gary S.","contributorId":67642,"corporation":false,"usgs":true,"family":"Dwyer","given":"Gary S.","affiliations":[],"preferred":false,"id":451208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keigwin, Loyd D.","contributorId":46790,"corporation":false,"usgs":false,"family":"Keigwin","given":"Loyd","email":"","middleInitial":"D.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":451207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thunell, Robert C.","contributorId":71028,"corporation":false,"usgs":false,"family":"Thunell","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":36280,"text":"Department of Earth and Ocean Sciences, University of South Carolina,","active":true,"usgs":false}],"preferred":false,"id":451209,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035461,"text":"70035461 - 2011 - Geodynamic interpretation of the 40Ar/39Ar dating of ophiolitic and arc-related mafics and metamafics of the northern part of the Anadyr-Koryak region","interactions":[],"lastModifiedDate":"2020-10-03T16:17:02.259076","indexId":"70035461","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1826,"text":"Geotectonics","onlineIssn":"1556-1976","printIssn":"0016-8521","active":true,"publicationSubtype":{"id":10}},"title":"Geodynamic interpretation of the 40Ar/39Ar dating of ophiolitic and arc-related mafics and metamafics of the northern part of the Anadyr-Koryak region","docAbstract":"Isotope datings of amphibole-bearing mafics and metamafics in the northern part of the Anadyr-Koryak region allow clarification of the time of magmatic and metamorphic processes, which are synchronous with certain stages of the geodynamic development of the northwest segment of the Pacific mobile belt in the Phanerozoic. To define the 40Ar/39Ar age of amphiboles, eight samples of amphibole gabbroids and metamafics were selected during field work from five massifs representing ophiolites and mafic plutons of the island arc. Rocks from terranes of three foldbelts: 1) Pekulnei (Chukotka region), 2) Ust-Belaya (West Koryak region), and 3) the Tamvatnei and El’gevayam subterranes of the Mainits terrane (Koryak-Kamchatka region), were studied. The isotope investigations enabled us to divide the studied amphiboles into two groups varying in rock petrographic features. The first was represented by gabbroids of the Svetlorechensk massif of the Pekulnei Range and by ophiolites of the Tamvatnei Mts.; their magmatic amphiboles show the distribution of argon isotopes in the form of clearly distinguished plateau with an age ranging within 120–129 Ma. The second group includes metamorphic amphiboles of metagabbroids and apogabbro amphibolites of the Ust-Belaya Mts., Pekulnei and Kenkeren ranges (El’gevayam subterranes). Their age spectra show loss of argon and do not provide well defined plateaus the datings obtained for them are interpreted as minimum ages. Dates of amphiboles from the metagabbro of the upper tectonic plate of the Ust-Belaya allochthon points to metamorphism in the suprasubduction environment in the fragment of Late Neoproterozoic oceanic lithosphere in Middle-Late Devonian time, long before the Uda-Murgal island arc system was formed. The amphibolite metamorphism in the dunite-clinopyroxenite-metagabbro Pekulnei sequence was dated to occur at the Permian-Triassic boundary. The age of amphiboles from gabbrodiorites of the Kenkeren Range was dated to be Early Jurassic that confirmed their assignment to the El’gevayam volcanic-plutonic assemblage. These data are consistent with geological concepts and make more precise the available age dates. Neocomian-Aptian 40Ar/39Ar age of amphibolites from the Pekulnei and Tamvatnei gabbroids make evident that mafics of these terranes (varying in geodynamic formation settings and in petrogenesis) were generated in later stages of the development of the West Pekulnei and Mainits-Algan Middle-Late Jurassic-Early Cretaceous island arc systems, presumably due to breakup of island arcs in the Neocomian.
The concentrations of CO2 and other greenhouse gases in the atmosphere have been increasing and greatly affecting global climate and socio-economic systems. Actively growing forests are generally considered to be a major carbon sink, but forest wildfires lead to large releases of biomass carbon into the atmosphere. Aboveground forest biomass carbon (AFBC), an important ecological indicator, and fire-induced carbon emissions at regional scales are highly relevant to forest sustainable management and climate change. It is challenging to accurately estimate the spatial distribution of AFBC across large areas because of the spatial heterogeneity of forest cover types and canopy structure. In this study, Forest Inventory and Analysis (FIA) data, Landsat, and Landscape Fire and Resource Management Planning Tools Project (LANDFIRE) data were integrated in a regression tree model for estimating AFBC at a 30-m resolution in the Utah High Plateaus. AFBC were calculated from 225 FIA field plots and used as the dependent variable in the model. Of these plots, 10% were held out for model evaluation with stratified random sampling, and the other 90% were used as training data to develop the regression tree model. Independent variable layers included Landsat imagery and the derived spectral indicators, digital elevation model (DEM) data and derivatives, biophysical gradient data, existing vegetation cover type and vegetation structure. The cross-validation correlation coefficient (r value) was 0.81 for the training model. Independent validation using withheld plot data was similar with r value of 0.82. This validated regression tree model was applied to map AFBC in the Utah High Plateaus and then combined with burn severity information to estimate loss of AFBC in the Longston fire of Zion National Park in 2001. The final dataset represented 24 forest cover types for a 4 million ha forested area. We estimated a total of 353 Tg AFBC with an average of 87 MgC/ha in the Utah High Plateaus. We also estimated that 8054 Mg AFBC were released from 2.24 km2 burned forest area in the Longston fire. These results demonstrate that an AFBC spatial map and estimated biomass carbon consumption can readily be generated using existing database. The methodology provides a consistent, practical, and inexpensive way for estimating AFBC at 30-m resolution over large areas throughout the United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2009.03.013","issn":"1470160X","usgsCitation":"Chen, X., Liu, S., Zhu, Z., Vogelmann, J., Li, Z., and Ohlen, D.O., 2011, Estimating aboveground forest biomass carbon and fire consumption in the U.S. Utah High Plateaus using data from the Forest Inventory and Analysis program, Landsat, and LANDFIRE: Ecological Indicators, v. 11, no. 1, p. 140-148, https://doi.org/10.1016/j.ecolind.2009.03.013.","productDescription":"9 p.","startPage":"140","endPage":"148","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215530,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2009.03.013"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b07e4b0c8380cd5251c","contributors":{"authors":[{"text":"Chen, Xuexia","contributorId":140368,"corporation":false,"usgs":false,"family":"Chen","given":"Xuexia","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":450748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":450750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":450745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":450747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Zhen","contributorId":200957,"corporation":false,"usgs":false,"family":"Li","given":"Zhen","affiliations":[],"preferred":false,"id":450746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ohlen, Donald O. ohlen@usgs.gov","contributorId":3779,"corporation":false,"usgs":true,"family":"Ohlen","given":"Donald","email":"ohlen@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":450749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035396,"text":"70035396 - 2011 - Analytical model for screening potential CO2 repositories","interactions":[],"lastModifiedDate":"2021-02-25T13:01:32.044668","indexId":"70035396","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1308,"text":"Computational Geosciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Analytical model for screening potential CO2 repositories","title":"Analytical model for screening potential CO2 repositories","docAbstract":"Assessing potential repositories for geologic sequestration of carbon dioxide using numerical models can be complicated, costly, and time-consuming, especially when faced with the challenge of selecting a repository from a multitude of potential repositories. This paper presents a set of simple analytical equations (model), based on the work of previous researchers, that could be used to evaluate the suitability of candidate repositories for subsurface sequestration of carbon dioxide. We considered the injection of carbon dioxide at a constant rate into a confined saline aquifer via a fully perforated vertical injection well. The validity of the analytical model was assessed via comparison with the TOUGH2 numerical model. The metrics used in comparing the two models include (1) spatial variations in formation pressure and (2) vertically integrated brine saturation profile. The analytical model and TOUGH2 show excellent agreement in their results when similar input conditions and assumptions are applied in both. The analytical model neglects capillary pressure and the pressure dependence of fluid properties. However, simulations in TOUGH2 indicate that little error is introduced by these simplifications. Sensitivity studies indicate that the agreement between the analytical model and TOUGH2 depends strongly on (1) the residual brine saturation, (2) the difference in density between carbon dioxide and resident brine (buoyancy), and (3) the relationship between relative permeability and brine saturation. The results achieved suggest that the analytical model is valid when the relationship between relative permeability and brine saturation is linear or quasi-linear and when the irreducible saturation of brine is zero or very small.
","language":"English","publisher":"Springer","doi":"10.1007/s10596-011-9246-2","issn":"14200597","usgsCitation":"Okwen, R., Stewart, M., and Cunningham, J., 2011, Analytical model for screening potential CO2 repositories: Computational Geosciences, v. 15, no. 4, p. 755-770, https://doi.org/10.1007/s10596-011-9246-2.","productDescription":"16 p.","startPage":"755","endPage":"770","costCenters":[],"links":[{"id":243048,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-17","publicationStatus":"PW","scienceBaseUri":"5059eb6ce4b0c8380cd48dba","contributors":{"authors":[{"text":"Okwen, R.T.","contributorId":36772,"corporation":false,"usgs":true,"family":"Okwen","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":450455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, M.T.","contributorId":6487,"corporation":false,"usgs":true,"family":"Stewart","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":450454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, J.A.","contributorId":101872,"corporation":false,"usgs":true,"family":"Cunningham","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":450456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035392,"text":"70035392 - 2011 - Depositional and diagenetic variability within the Cambrian Mount Simon Sandstone: Implications for carbon dioxide sequestration","interactions":[],"lastModifiedDate":"2021-02-24T19:34:00.952581","indexId":"70035392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Depositional and diagenetic variability within the Cambrian Mount Simon Sandstone: Implications for carbon dioxide sequestration","docAbstract":"The Cambrian Mount Simon Sandstone is the major target reservoir for ongoing geologic carbon dioxide (CO2) sequestration demonstrations throughout the midwest United States. The potential CO2 reservoir capacity, reactivity, and ultimate fate of injected CO2 depend on textural and compositional properties determined by depositional and diagenetic histories that vary vertically and laterally across the formation. Effective and efficient prediction and use of the available pore space requires detailed knowledge of the depositional and diagenetic textures and mineralogy, how these variables control the petrophysical character of the reservoir, and how they vary spatially. Here, we summarize the reservoir characteristics of the Mount Simon Sandstone based on examination of geophysical logs, cores, cuttings, and analysis of more than 150 thin sections. These samples represent different parts of the formation and depth ranges of more than 9000 ft (![\"gt\"](\"http://archives.datapages.com/data/deg/2011/eg0211/EG10012/IMAGES/GT.JPG\")
2743 m) across the Illinois Basin and surrounding areas. This work demonstrates that overall reservoir quality and, specifically, porosity do not exhibit a simple relationship with depth, but vary both laterally and with depth because of changes in the primary depositional facies, framework composition (i.e., feldspar concentration), and diverse diagenetic modifications. Diagenetic processes that have been significant in modifying the reservoir include formation of iron oxide grain coatings, chemical compaction, feldspar precipitation and dissolution, multiple generations of quartz overgrowth cementation, clay mineral precipitation, and iron oxide cementation. These variables provide important inputs for calculating CO2 capacity potential, modeling reactivity, and are also an important baseline for comparisons after CO2 injection.
","language":"English","publisher":"Datapages","doi":"10.1306/eg.07271010012","issn":"10759565","usgsCitation":"Bowen, B., Ochoa, R., Wilkens, N., Brophy, J., Lovell, T., Fischietto, N., Medina, C., and Rupp, J., 2011, Depositional and diagenetic variability within the Cambrian Mount Simon Sandstone: Implications for carbon dioxide sequestration: Environmental Geosciences, v. 18, no. 2, p. 69-89, https://doi.org/10.1306/eg.07271010012.","productDescription":"21 p.","startPage":"69","endPage":"89","costCenters":[],"links":[{"id":242985,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215201,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1306/eg.07271010012"}],"country":"United States","state":"Indiana","otherGeospatial":"Mount Simon Sandstone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.4951171875,\n 41.73852846935917\n ],\n [\n -87.62695312499999,\n 39.027718840211605\n ],\n [\n -88.24218749999999,\n 37.68382032669382\n ],\n [\n -86.0888671875,\n 37.78808138412046\n ],\n [\n -84.72656249999999,\n 38.44498466889473\n ],\n [\n -84.72656249999999,\n 41.86956082699455\n ],\n [\n -87.4951171875,\n 41.73852846935917\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059febae4b0c8380cd4eebf","contributors":{"authors":[{"text":"Bowen, B.B.","contributorId":74979,"corporation":false,"usgs":true,"family":"Bowen","given":"B.B.","email":"","affiliations":[],"preferred":false,"id":450442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ochoa, R.I.","contributorId":71019,"corporation":false,"usgs":true,"family":"Ochoa","given":"R.I.","email":"","affiliations":[],"preferred":false,"id":450440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkens, N.D.","contributorId":94122,"corporation":false,"usgs":true,"family":"Wilkens","given":"N.D.","email":"","affiliations":[],"preferred":false,"id":450444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brophy, J.","contributorId":77757,"corporation":false,"usgs":true,"family":"Brophy","given":"J.","affiliations":[],"preferred":false,"id":450443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lovell, T.R.","contributorId":74220,"corporation":false,"usgs":true,"family":"Lovell","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":450441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischietto, N.","contributorId":13457,"corporation":false,"usgs":true,"family":"Fischietto","given":"N.","email":"","affiliations":[],"preferred":false,"id":450437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Medina, C.R.","contributorId":58857,"corporation":false,"usgs":true,"family":"Medina","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":450439,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rupp, J.A.","contributorId":30596,"corporation":false,"usgs":true,"family":"Rupp","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":450438,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035388,"text":"70035388 - 2011 - Projecting avian response to linked changes in groundwater and riparian floodplain vegetation along a dryland river: A scenario analysis","interactions":[],"lastModifiedDate":"2021-02-24T19:49:05.534333","indexId":"70035388","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Projecting avian response to linked changes in groundwater and riparian floodplain vegetation along a dryland river: A scenario analysis","docAbstract":"Groundwater is a key driver of riparian condition on dryland rivers but is in high demand for municipal, industrial, and agricultural uses. Approaches are needed to guide decisions that balance human water needs while conserving riparian ecosystems. We developed a space‐for‐time substitution model that links groundwater change scenarios implemented within a Decision Support System (DSS) with proportions of floodplain vegetation types and abundances of breeding and migratory birds along the upper San Pedro River, AZ, USA. We investigated nine scenarios ranging from groundwater depletion to recharge. In groundwater decline scenarios, relative proportions of tall‐canopied obligate phreatophytes (Populus/Salix, cottonwood/willow) on the floodplain progressively decline, and shrubbier species less dependent on permanent water sources (e.g. Tamarix spp., saltcedar) increase. These scenarios result in broad shifts in the composition of the breeding bird community, with canopy‐nesting and water‐obligate birds declining but midstory nesting birds increasing in abundance as groundwater declines. For the most extreme draw‐down scenario where all reaches undergo groundwater declines, models project that only 10% of the upper San Pedro floodplain would be comprised of cottonwood/willow (73% saltcedar and 18% mesquite), and abundances of canopy‐nesting, water‐obligate, and spring migrant birds would decline 48%, 72%, and 40%, respectively. Groundwater recharge scenarios were associated with increases in canopy‐nesting birds particularly given the extreme recharge scenario (all reaches regain shallow water tables and perennial streamflow). Model outputs serve to assess the sensitivity of biotic groups to potential changes in groundwater and thus to rank scenarios based on their expected ecological impacts.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.143","issn":"19360584","usgsCitation":"Arriana, B.L., Stromberg, J., Goodrich, D., Dixon, M., Lansey, K., Kang, D., Brookshire, D., and Cerasale, D., 2011, Projecting avian response to linked changes in groundwater and riparian floodplain vegetation along a dryland river: A scenario analysis: Ecohydrology, v. 4, no. 1, p. 130-142, https://doi.org/10.1002/eco.143.","productDescription":"13 p.","startPage":"130","endPage":"142","costCenters":[],"links":[{"id":243366,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215554,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.143"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-19","publicationStatus":"PW","scienceBaseUri":"505a8efbe4b0c8380cd7f4e6","contributors":{"authors":[{"text":"Arriana, Brand L.","contributorId":9488,"corporation":false,"usgs":true,"family":"Arriana","given":"Brand","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":450419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stromberg, J.C.","contributorId":81455,"corporation":false,"usgs":true,"family":"Stromberg","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":450425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodrich, D.C.","contributorId":98492,"corporation":false,"usgs":false,"family":"Goodrich","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":450426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, M.D.","contributorId":57279,"corporation":false,"usgs":true,"family":"Dixon","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":450423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lansey, K.","contributorId":57680,"corporation":false,"usgs":true,"family":"Lansey","given":"K.","email":"","affiliations":[],"preferred":false,"id":450424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kang, D.","contributorId":19799,"corporation":false,"usgs":true,"family":"Kang","given":"D.","email":"","affiliations":[],"preferred":false,"id":450421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brookshire, D.S.","contributorId":43335,"corporation":false,"usgs":true,"family":"Brookshire","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":450422,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cerasale, D.J.","contributorId":11028,"corporation":false,"usgs":true,"family":"Cerasale","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":450420,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035331,"text":"70035331 - 2011 - The dynamics, transmission, and population impacts of avian malaria in native hawaiian birds: A modeling approach","interactions":[],"lastModifiedDate":"2021-02-24T20:50:15.383195","indexId":"70035331","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The dynamics, transmission, and population impacts of avian malaria in native hawaiian birds: A modeling approach","docAbstract":"We developed an epidemiological model of avian malaria (Plasmodium relictum) across an altitudinal gradient on the island of Hawaii that includes the dynamics of the host, vector, and parasite. This introduced mosquito‐borne disease is hypothesized to have contributed to extinctions and major shifts in the altitudinal distribution of highly susceptible native forest birds. Our goal was to better understand how biotic and abiotic factors influence the intensity of malaria transmission and impact on susceptible populations of native Hawaiian forest birds. Our model illustrates key patterns in the malaria–forest bird system: high malaria transmission in low‐elevation forests with minor seasonal or annual variation in infection; episodic transmission in mid‐elevation forests with site‐to‐site, seasonal, and annual variation depending on mosquito dynamics; and disease refugia in high‐elevation forests with only slight risk of infection during summer. These infection patterns are driven by temperature and rainfall effects on parasite incubation period and mosquito dynamics across an elevational gradient and the availability of larval habitat, especially in mid‐elevation forests. The results from our model suggest that disease is likely a key factor in causing population decline or restricting the distribution of many susceptible Hawaiian species and preventing the recovery of other vulnerable species. The model also provides a framework for the evaluation of factors influencing disease transmission and alternative disease control programs, and to evaluate the impact of climate change on disease cycles and bird populations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1311.1","issn":"10510761","usgsCitation":"Samuel, M.D., Hobbelen, P., Decastro, F., Ahumada, J.A., Lapointe, D., Atkinson, C.T., Woodworth, B.L., Hart, P., and Duffy, D., 2011, The dynamics, transmission, and population impacts of avian malaria in native hawaiian birds: A modeling approach: Ecological Applications, v. 21, no. 8, p. 2960-2973, https://doi.org/10.1890/10-1311.1.","productDescription":"14 p.","startPage":"2960","endPage":"2973","costCenters":[],"links":[{"id":502575,"rank":10001,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/the-dynamics-transmission-and-population-impacts-of-avian-malaria","text":"External Repository"},{"id":486673,"rank":10000,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1475TVO","text":"USGS data release","linkHelpText":"Island of Hawaii forest bird malaria infection data 2001-2005"},{"id":243009,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215222,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1311.1"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.94970703125,\n 18.083200903334312\n ],\n [\n -153.80859375,\n 18.083200903334312\n ],\n [\n -153.80859375,\n 23.019076187293035\n ],\n [\n -160.94970703125,\n 23.019076187293035\n ],\n [\n -160.94970703125,\n 18.083200903334312\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baaece4b08c986b322ad4","contributors":{"authors":[{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":450219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hobbelen, P.H.F.","contributorId":94493,"corporation":false,"usgs":true,"family":"Hobbelen","given":"P.H.F.","affiliations":[],"preferred":false,"id":450226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Decastro, F.","contributorId":73429,"corporation":false,"usgs":true,"family":"Decastro","given":"F.","email":"","affiliations":[],"preferred":false,"id":450224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahumada, Jorge A.","contributorId":14788,"corporation":false,"usgs":true,"family":"Ahumada","given":"Jorge","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":450222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":450223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":450220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woodworth, Bethany L.","contributorId":214728,"corporation":false,"usgs":false,"family":"Woodworth","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":450225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hart, P.J.","contributorId":104260,"corporation":false,"usgs":true,"family":"Hart","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":450227,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duffy, D.C.","contributorId":43473,"corporation":false,"usgs":true,"family":"Duffy","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":450221,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70035328,"text":"70035328 - 2011 - Satellite and ground observations of the June 2009 eruption of Sarychev Peak volcano, Matua Island, Central Kuriles","interactions":[],"lastModifiedDate":"2021-03-08T12:37:22.253723","indexId":"70035328","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Satellite and ground observations of the June 2009 eruption of Sarychev Peak volcano, Matua Island, Central Kuriles","docAbstract":"After 33 years of repose, one of the most active volcanoes of the Kurile island arc—Sarychev Peak on Matua Island in the Central Kuriles—erupted violently on June 11, 2009. The eruption lasted 9 days and stands among the largest of recent historical eruptions in the Kurile Island chain. Satellite monitoring of the eruption, using Moderate Resolution Imaging Spectroradiometer, Meteorological Agency Multifunctional Transport Satellite, and Advanced Very High Resolution Radiometer data, indicated at least 23 separate explosions between 11 and 16 June 2009. Eruptive clouds reached altitudes of generally 8–16 km above sea level (ASL) and in some cases up to 21 km asl. Clouds of volcanic ash and gas stretched to the north and northwest up to 1,500 km and to the southeast for more than 3,000 km. For the first time in recorded history, ash fall occurred on Sakhalin Island and in the northeast sector of the Khabarovsky Region, Russia. Based on satellite image analysis and reconnaissance field studies in the summer of 2009, the eruption produced explosive tephra deposits with an estimated bulk volume of 0.4 km3. The eruption is considered to have a Volcanic Explosivity Index of 4. Because the volcano is remote, there was minimal risk to people or infrastructure on the ground. Aviation transport, however, was significantly disrupted because of the proximity of air routes to the volcano.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-011-0481-0","issn":"02588900","usgsCitation":"Rybin, A., Chibisova, M., Webley, P., Steensen, T., Izbekov, P., Neal, C.A., and Realmuto, V., 2011, Satellite and ground observations of the June 2009 eruption of Sarychev Peak volcano, Matua Island, Central Kuriles: Bulletin of Volcanology, v. 73, no. 9, p. 1377-1392, https://doi.org/10.1007/s00445-011-0481-0.","productDescription":"16 p.","startPage":"1377","endPage":"1392","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":242939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, Japan","otherGeospatial":"Kuril Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 145.72265625,\n 42.293564192170095\n ],\n [\n 155.21484375,\n 46.558860303117164\n ],\n [\n 159.697265625,\n 52.3755991766591\n ],\n [\n 154.599609375,\n 52.855864177853974\n ],\n [\n 146.6015625,\n 46.49839225859763\n ],\n [\n 143.173828125,\n 45.089035564831036\n ],\n [\n 145.72265625,\n 42.293564192170095\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-05-15","publicationStatus":"PW","scienceBaseUri":"505b86cee4b08c986b316133","contributors":{"authors":[{"text":"Rybin, A.","contributorId":83754,"corporation":false,"usgs":true,"family":"Rybin","given":"A.","affiliations":[],"preferred":false,"id":450207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chibisova, M.","contributorId":39212,"corporation":false,"usgs":true,"family":"Chibisova","given":"M.","affiliations":[],"preferred":false,"id":450204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webley, P.","contributorId":96915,"corporation":false,"usgs":false,"family":"Webley","given":"P.","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":450209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steensen, T.","contributorId":108331,"corporation":false,"usgs":true,"family":"Steensen","given":"T.","email":"","affiliations":[],"preferred":false,"id":450210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Izbekov, P.","contributorId":46748,"corporation":false,"usgs":true,"family":"Izbekov","given":"P.","affiliations":[],"preferred":false,"id":450205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":131135,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":450208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Realmuto, V.","contributorId":50746,"corporation":false,"usgs":true,"family":"Realmuto","given":"V.","email":"","affiliations":[],"preferred":false,"id":450206,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70036169,"text":"70036169 - 2011 - The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3","interactions":[],"lastModifiedDate":"2021-01-26T20:02:09.805515","indexId":"70036169","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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 dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3","docAbstract":"The Geophysical Fluid Dynamics Laboratory (GFDL) has developed a coupled general circulation model (CM3) for the atmosphere, oceans, land, and sea ice. The goal of CM3 is to address emerging issues in climate change, including aerosol–cloud interactions, chemistry–climate interactions, and coupling between the troposphere and stratosphere. The model is also designed to serve as the physical system component of earth system models and models for decadal prediction in the near-term future—for example, through improved simulations in tropical land precipitation relative to earlier-generation GFDL models. This paper describes the dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component (AM3) of this model. Relative to GFDL AM2, AM3 includes new treatments of deep and shallow cumulus convection, cloud droplet activation by aerosols, subgrid variability of stratiform vertical velocities for droplet activation, and atmospheric chemistry driven by emissions with advective, convective, and turbulent transport. AM3 employs a cubed-sphere implementation of a finite-volume dynamical core and is coupled to LM3, a new land model with ecosystem dynamics and hydrology. Its horizontal resolution is approximately 200 km, and its vertical resolution ranges approximately from 70 m near the earth’s surface to 1 to 1.5 km near the tropopause and 3 to 4 km in much of the stratosphere. Most basic circulation features in AM3 are simulated as realistically, or more so, as in AM2. In particular, dry biases have been reduced over South America. In coupled mode, the simulation of Arctic sea ice concentration has improved. AM3 aerosol optical depths, scattering properties, and surface clear-sky downward shortwave radiation are more realistic than in AM2. The simulation of marine stratocumulus decks remains problematic, as in AM2. The most intense 0.2% of precipitation rates occur less frequently in AM3 than observed. The last two decades of the twentieth century warm in CM3 by 0.32°C relative to 1881–1920. The Climate Research Unit (CRU) and Goddard Institute for Space Studies analyses of observations show warming of 0.56° and 0.52°C, respectively, over this period. CM3 includes anthropogenic cooling by aerosol–cloud interactions, and its warming by the late twentieth century is somewhat less realistic than in CM2.1, which warmed 0.66°C but did not include aerosol–cloud interactions. The improved simulation of the direct aerosol effect (apparent in surface clear-sky downward radiation) in CM3 evidently acts in concert with its simulation of cloud–aerosol interactions to limit greenhouse gas warming.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/2011JCLI3955.1","issn":"08948755","usgsCitation":"Donner, L., Wyman, B., Hemler, R., Horowitz, L., Ming, Y., Zhao, M., Golaz, J., Ginoux, P., Lin, S., Schwarzkopf, M., Austin, J., Alaka, G., Cooke, W., Delworth, T., Freidenreich, S., Gordon, C., Griffies, S., Held, I., Hurlin, W., Klein, S., Knutson, T., Langenhorst, A., Lee, H., Lin, Y., Magi, B., Malyshev, S., Milly, P., Naik, V., Nath, M., Pincus, R., Ploshay, J., Ramaswamy, V., Seman, C., Shevliakova, E., Sirutis, J., Stern, W., Stouffer, R., Wilson, R., Winton, M., Wittenberg, A., and Zeng, F., 2011, The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3: Journal of Climate, v. 24, no. 13, p. 3484-3519, https://doi.org/10.1175/2011JCLI3955.1.","productDescription":"36 p.","startPage":"3484","endPage":"3519","costCenters":[],"links":[{"id":475418,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2011jcli3955.1","text":"Publisher Index Page"},{"id":246362,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218361,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2011JCLI3955.1"}],"volume":"24","issue":"13","noUsgsAuthors":false,"publicationDate":"2011-07-01","publicationStatus":"PW","scienceBaseUri":"505baae9e4b08c986b322ac1","contributors":{"authors":[{"text":"Donner, L.J.","contributorId":7475,"corporation":false,"usgs":true,"family":"Donner","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":454548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wyman, B.L.","contributorId":37929,"corporation":false,"usgs":true,"family":"Wyman","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":454559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hemler, R.S.","contributorId":58067,"corporation":false,"usgs":true,"family":"Hemler","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":454569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horowitz, L.W.","contributorId":18945,"corporation":false,"usgs":true,"family":"Horowitz","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":454553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ming, Y.","contributorId":96940,"corporation":false,"usgs":true,"family":"Ming","given":"Y.","affiliations":[],"preferred":false,"id":454581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, 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R.J.","contributorId":86543,"corporation":false,"usgs":true,"family":"Wilson","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":454577,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Winton, M.","contributorId":21805,"corporation":false,"usgs":true,"family":"Winton","given":"M.","affiliations":[],"preferred":false,"id":454555,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Wittenberg, A.T.","contributorId":70163,"corporation":false,"usgs":true,"family":"Wittenberg","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":454573,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Zeng, F.","contributorId":108355,"corporation":false,"usgs":true,"family":"Zeng","given":"F.","email":"","affiliations":[],"preferred":false,"id":454588,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}}
,{"id":70036165,"text":"70036165 - 2011 - Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed","interactions":[],"lastModifiedDate":"2021-01-26T20:14:42.384791","indexId":"70036165","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed","docAbstract":"The 326 ha Río Icacos watershed in the tropical wet forest of the Luquillo Mountains, northeastern Puerto Rico, is underlain by granodiorite bedrock with weathering rates among the highest in the world. We pooled stream chemistry and total suspended sediment (TSS) data sets from three discrete periods: 1983–1987, 1991–1997, and 2000–2008. During this period three major hurricanes crossed the site: Hugo in 1989, Hortense in 1996, and Georges in 1998. Stream chemistry reflects sea salt inputs (Na, Cl, and SO4), and high weathering rates of the granodiorite (Ca, Mg, Si, and alkalinity). During rainfall, stream composition shifts toward that of precipitation, diluting 90% or more in the largest storms, but maintains a biogeochemical watershed signal marked by elevated K and dissolved organic carbon (DOC) concentration. DOC exhibits an unusual “boomerang” pattern, initially increasing with flow but then decreasing at the highest flows as it becomes depleted and/or vigorous overland flow minimizes contact with watershed surfaces. TSS increased markedly with discharge (power function slope 1.54), reflecting the erosive power of large storms in a landslide‐prone landscape. The relations of TSS and most solute concentrations with stream discharge were stable through time, suggesting minimal long‐term effects from repeated hurricane disturbance. Nitrate concentration, however, increased about threefold in response to hurricanes then returned to baseline over several years following a pseudo first‐order decay pattern. The combined data sets provide insight about important hydrologic pathways, a long‐term perspective to assess response to hurricanes, and a framework to evaluate future climate change in tropical ecosystems.
","largerWorkTitle":"Water Resources Research","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009788","issn":"00431397","usgsCitation":"Shanley, J.B., McDowell, W.H., and Stallard, R.F., 2011, Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed: Water Resources Research, v. 47, no. 7, W07515, 11 p., https://doi.org/10.1029/2010WR009788.","productDescription":"W07515, 11 p.","costCenters":[],"links":[{"id":246302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218303,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR009788"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Río Icacos watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.88775634765625,\n 18.21761162872689\n ],\n [\n -65.6982421875,\n 18.21761162872689\n ],\n [\n -65.6982421875,\n 18.35582895074145\n ],\n [\n -65.88775634765625,\n 18.35582895074145\n ],\n [\n -65.88775634765625,\n 18.21761162872689\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-09","publicationStatus":"PW","scienceBaseUri":"505a499fe4b0c8380cd68772","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, W. H.","contributorId":88532,"corporation":false,"usgs":false,"family":"McDowell","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":454525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":454523,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035239,"text":"70035239 - 2011 - SPECTRAL data-based estimation of soil heat flux","interactions":[],"lastModifiedDate":"2017-04-06T14:16:32","indexId":"70035239","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"SPECTRAL data-based estimation of soil heat flux","docAbstract":"Numerous existing spectral-based soil heat flux (G) models have shown wide variation in performance for maize and soybean cropping systems in Nebraska, indicating the need for localized calibration and model development. The objectives of this article are to develop a semi-empirical model to estimate G from a normalized difference vegetation index (NDVI) and net radiation (Rn) for maize (Zea mays L.) and soybean (Glycine max L.) fields in the Great Plains, and present the suitability of the developed model to estimate G under similar and different soil and management conditions. Soil heat fluxes measured in both irrigated and rainfed fields in eastern and south-central Nebraska were used for model development and validation. An exponential model that uses NDVI and Rn was found to be the best to estimate G based on r2 values. The effect of geographic location, crop, and water management practices were used to develop semi-empirical models under four case studies. Each case study has the same exponential model structure but a different set of coefficients and exponents to represent the crop, soil, and management practices. Results showed that the semi-empirical models can be used effectively for G estimation for nearby fields with similar soil properties for independent years, regardless of differences in crop type, crop rotation, and irrigation practices, provided that the crop residue from the previous year is more than 4000 kg ha-1. The coefficients calibrated from particular fields can be used at nearby fields in order to capture temporal variation in G. However, there is a need for further investigation of the models to account for the interaction effects of crop rotation and irrigation. Validation at an independent site having different soil and crop management practices showed the limitation of the semi-empirical model in estimating G under different soil and environment conditions.
","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/2013.39837","issn":"00012351","usgsCitation":"Singh, R.K., Irmak, A., Walter-Shea, E., Verma, S., and Suyker, A., 2011, SPECTRAL data-based estimation of soil heat flux: Transactions of the ASABE, v. 54, no. 5, p. 1589-1597, https://doi.org/10.13031/2013.39837.","productDescription":"9 p.","startPage":"1589","endPage":"1597","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":502577,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/natrespapers/525","text":"External Repository"},{"id":243067,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aaf7ce4b0c8380cd875f8","contributors":{"authors":[{"text":"Singh, Ramesh K. 0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":85424,"corporation":false,"usgs":true,"family":"Singh","given":"Ramesh","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":449860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irmak, A.","contributorId":101473,"corporation":false,"usgs":true,"family":"Irmak","given":"A.","email":"","affiliations":[],"preferred":false,"id":449861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter-Shea, Elizabeth","contributorId":84579,"corporation":false,"usgs":true,"family":"Walter-Shea","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":449859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verma, S.B.","contributorId":103890,"corporation":false,"usgs":true,"family":"Verma","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":449862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suyker, A.E.","contributorId":42051,"corporation":false,"usgs":true,"family":"Suyker","given":"A.E.","affiliations":[],"preferred":false,"id":449858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035094,"text":"70035094 - 2011 - Going coastal: Shared evolutionary history between coastal British Columbia and Southeast Alaska wolves (canis lupus)","interactions":[],"lastModifiedDate":"2021-03-01T20:18:48.604732","indexId":"70035094","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Going coastal: Shared evolutionary history between coastal British Columbia and Southeast Alaska wolves (canis lupus)","docAbstract":"Many coastal species occupying the temperate rainforests of the Pacific Northwest in North America comprise endemic populations genetically and ecologically distinct from interior continental conspecifics. Morphological variation previously identified among wolf populations resulted in recognition of multiple subspecies of wolves in the Pacific Northwest. Recently, separate genetic studies have identified diverged populations of wolves in coastal British Columbia and coastal Southeast Alaska, providing support for hypotheses of distinct coastal subspecies. These two regions are geographically and ecologically contiguous, however, there is no comprehensive analysis across all wolf populations in this coastal rainforest.
By combining mitochondrial DNA datasets from throughout the Pacific Northwest, we examined the genetic relationship between coastal British Columbia and Southeast Alaska wolf populations and compared them with adjacent continental populations. Phylogenetic analysis indicates complete overlap in the genetic diversity of coastal British Columbia and Southeast Alaska wolves, but these populations are distinct from interior continental wolves. Analyses of molecular variation support the separation of all coastal wolves in a group divergent from continental populations, as predicted based on hypothesized subspecies designations. Two novel haplotypes also were uncovered in a newly assayed continental population of interior Alaska wolves.
We found evidence that coastal wolves endemic to these temperate rainforests are diverged from neighbouring, interior continental wolves; a finding that necessitates new international strategies associated with the management of this species.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0019582","issn":"19326203","usgsCitation":"Weckworth, B.V., Dawson, N.G., Talbot, S.L., Flamme, M.J., and Cook, J.A., 2011, Going coastal: Shared evolutionary history between coastal British Columbia and Southeast Alaska wolves (canis lupus): PLoS ONE, v. 6, no. 5, e19582, 8 p., https://doi.org/10.1371/journal.pone.0019582.","productDescription":"e19582, 8 p.","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":475175,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0019582","text":"Publisher Index Page"},{"id":242856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215084,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0019582"}],"country":"United States","state":"Alaska","otherGeospatial":"Southeast Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.869140625,\n 52.482780222078226\n ],\n [\n -130.25390625,\n 55.7765730186677\n ],\n [\n -135.439453125,\n 59.712097173322924\n ],\n [\n -140.09765625,\n 60.50052541051131\n ],\n [\n -141.6796875,\n 62.79493487887006\n ],\n [\n -150.205078125,\n 62.79493487887006\n ],\n [\n -146.95312499999997,\n 60.23981116999893\n ],\n [\n -140.18554687499997,\n 58.90464570302001\n ],\n [\n -132.451171875,\n 51.72702815704774\n ],\n [\n -130.869140625,\n 52.482780222078226\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-05-04","publicationStatus":"PW","scienceBaseUri":"505a2977e4b0c8380cd5a98a","contributors":{"authors":[{"text":"Weckworth, Byron V.","contributorId":195766,"corporation":false,"usgs":false,"family":"Weckworth","given":"Byron","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":449280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Natalie G.","contributorId":190333,"corporation":false,"usgs":false,"family":"Dawson","given":"Natalie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":449284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":449281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flamme, Melanie J.","contributorId":200585,"corporation":false,"usgs":false,"family":"Flamme","given":"Melanie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":449283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Joseph A.","contributorId":70318,"corporation":false,"usgs":true,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":449282,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036505,"text":"70036505 - 2011 - Combined effects of tectonic and landslide-generated Tsunami Runup at Seward, Alaska during the Mw 9.2 1964 earthquake","interactions":[],"lastModifiedDate":"2023-11-03T15:36:25.275285","indexId":"70036505","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of tectonic and landslide-generated Tsunami Runup at Seward, Alaska during the Mw 9.2 1964 earthquake","docAbstract":"We apply a recently developed and validated numerical model of tsunami propagation and runup to study the inundation of Resurrection Bay and the town of Seward by the 1964 Alaska tsunami. Seward was hit by both tectonic and landslide-generated tsunami waves during the MW\">MWMW 9.2 1964 megathrust earthquake. The earthquake triggered a series of submarine mass failures around the fjord, which resulted in landsliding of part of the coastline into the water, along with the loss of the port facilities. These submarine mass failures generated local waves in the bay within 5 min of the beginning of strong ground motion. Recent studies estimate the total volume of underwater slide material that moved in Resurrection Bay to be about 211 million m3 (Haeussler et al. in Submarine mass movements and their consequences, pp 269–278, 2007). The first tectonic tsunami wave arrived in Resurrection Bay about 30 min after the main shock and was about the same height as the local landslide-generated waves. Our previous numerical study, which focused only on the local landslide-generated waves in Resurrection Bay, demonstrated that they were produced by a number of different slope failures, and estimated relative contributions of different submarine slide complexes into tsunami amplitudes (Suleimani et al. in Pure Appl Geophys 166:131–152, 2009). This work extends the previous study by calculating tsunami inundation in Resurrection Bay caused by the combined impact of landslide-generated waves and the tectonic tsunami, and comparing the composite inundation area with observations. To simulate landslide tsunami runup in Seward, we use a viscous slide model of Jiang and LeBlond (J Phys Oceanogr 24(3):559–572, 1994) coupled with nonlinear shallow water equations. The input data set includes a high resolution multibeam bathymetry and LIDAR topography grid of Resurrection Bay, and an initial thickness of slide material based on pre- and post-earthquake bathymetry difference maps. For simulation of tectonic tsunami runup, we derive the 1964 coseismic deformations from detailed slip distribution in the rupture area, and use them as an initial condition for propagation of the tectonic tsunami. The numerical model employs nonlinear shallow water equations formulated for depth-averaged water fluxes, and calculates a temporal position of the shoreline using a free-surface moving boundary algorithm. We find that the calculated tsunami runup in Seward caused first by local submarine landslide-generated waves, and later by a tectonic tsunami, is in good agreement with observations of the inundation zone. The analysis of inundation caused by two different tsunami sources improves our understanding of their relative contributions, and supports tsunami risk mitigation in south-central Alaska. The record of the 1964 earthquake, tsunami, and submarine landslides, combined with the high-resolution topography and bathymetry of Resurrection Bay make it an ideal location for studying tectonic tsunamis in coastal regions susceptible to underwater landslides.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00024-010-0228-4","usgsCitation":"Suleimani, E., Nicolsky, D., Haeussler, P.J., and Hansen, R., 2011, Combined effects of tectonic and landslide-generated Tsunami Runup at Seward, Alaska during the Mw 9.2 1964 earthquake: Pure and Applied Geophysics, v. 168, no. 6-7, p. 1053-1074, https://doi.org/10.1007/s00024-010-0228-4.","productDescription":"22 p.","startPage":"1053","endPage":"1074","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":246135,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Seward","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.60219260804425,\n 60.16730432792468\n ],\n [\n -149.60219260804422,\n 59.75923973592475\n ],\n [\n -149.1708119914336,\n 59.75923973592475\n ],\n [\n -149.1708119914336,\n 60.17094138954462\n ],\n [\n -149.60219260804425,\n 60.16730432792468\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"168","issue":"6-7","noUsgsAuthors":false,"publicationDate":"2010-11-30","publicationStatus":"PW","scienceBaseUri":"5059f7d8e4b0c8380cd4cd1b","contributors":{"authors":[{"text":"Suleimani, E.","contributorId":91713,"corporation":false,"usgs":true,"family":"Suleimani","given":"E.","affiliations":[],"preferred":false,"id":456467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicolsky, D.J.","contributorId":51584,"corporation":false,"usgs":true,"family":"Nicolsky","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":456464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":456466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, R.","contributorId":56370,"corporation":false,"usgs":true,"family":"Hansen","given":"R.","affiliations":[],"preferred":false,"id":456465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035063,"text":"70035063 - 2011 - Electronic tagging of green sturgeon reveals population structure and movement among estuaries","interactions":[],"lastModifiedDate":"2020-09-11T15:40:07.369657","indexId":"70035063","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Electronic tagging of green sturgeon reveals population structure and movement among estuaries","docAbstract":"Green sturgeon Acipenser medirostris spend much of their lives outside of their natal rivers, but the details of their migrations and habitat use are poorly known, which limits our understanding of how this species might be affected by human activities and habitat degradation. We tagged 355 green sturgeon with acoustic transmitters on their spawning grounds and in known nonspawning aggregation sites and examined their movement among these sites and other potentially important locations using automated data‐logging hydrophones. We found that green sturgeon inhabit a number of estuarine and coastal sites over the summer, including the Columbia River estuary, Willapa Bay, Grays Harbor, and the estuaries of certain smaller rivers in Oregon, especially the Umpqua River estuary. Green sturgeon from different natal rivers exhibited different patterns of habitat use; most notably, San Francisco Bay was used only by Sacramento River fish, while the Umpqua River estuary was used mostly by fish from the Klamath and Rogue rivers. Earlier work, based on analysis of microsatellite markers, suggested that the Columbia River mixed stock was mainly composed of fish from the Sacramento River, but our results indicate that fish from the Rogue and Klamath River populations frequently use the Columbia River as well. We also found evidence for the existence of migratory contingents within spawning populations. Our findings have significant implications for the management of the threatened Sacramento River population of green sturgeon, which migrates to inland waters outside of California where anthropogenic impacts, including fisheries bycatch and water pollution, may be a concern. Our results also illustrate the utility of acoustic tracking to elucidate the migratory behavior of animals that are otherwise difficult to observe.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2011.557017","usgsCitation":"Lindley, S., Erickson, D., Moser, M., Williams, G., Langness, O., McCovey, B., Belchik, M., Vogel, D., Pinnix, W., Kelly, J., Heublein, J., and Klimley, A., 2011, Electronic tagging of green sturgeon reveals population structure and movement among estuaries: Transactions of the American Fisheries Society, v. 140, no. 1, p. 108-122, https://doi.org/10.1080/00028487.2011.557017.","productDescription":"15 p.","startPage":"108","endPage":"122","numberOfPages":"15","costCenters":[],"links":[{"id":242888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378342,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://afspubs.onlinelibrary.wiley.com/doi/10.1080/00028487.2011.557017"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.43115234375,\n 46.09609080214316\n ],\n [\n -123.167724609375,\n 46.09609080214316\n ],\n [\n -123.167724609375,\n 47.29413372501023\n ],\n [\n -124.43115234375,\n 47.29413372501023\n ],\n [\n -124.43115234375,\n 46.09609080214316\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.6014404296875,\n 42.33418438593939\n ],\n [\n -123.17321777343749,\n 42.33418438593939\n ],\n [\n -123.17321777343749,\n 44.66474608911831\n ],\n [\n -124.6014404296875,\n 44.66474608911831\n ],\n [\n -124.6014404296875,\n 42.33418438593939\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.8046875,\n 39.99395569397331\n ],\n [\n -122.10205078125,\n 39.99395569397331\n ],\n [\n -122.10205078125,\n 41.85319643776675\n ],\n [\n -124.8046875,\n 41.85319643776675\n ],\n [\n -124.8046875,\n 39.99395569397331\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06884765625,\n 37.17782559332976\n ],\n [\n -120.21240234375001,\n 37.17782559332976\n ],\n [\n -120.21240234375001,\n 40.245991504199026\n ],\n [\n -123.06884765625,\n 40.245991504199026\n ],\n [\n -123.06884765625,\n 37.17782559332976\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-02-25","publicationStatus":"PW","scienceBaseUri":"505a08ace4b0c8380cd51c0b","contributors":{"authors":[{"text":"Lindley, S.T.","contributorId":58458,"corporation":false,"usgs":true,"family":"Lindley","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":449109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, D.L.","contributorId":82496,"corporation":false,"usgs":true,"family":"Erickson","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":449113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moser, M.L.","contributorId":92006,"corporation":false,"usgs":true,"family":"Moser","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":449114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, G.","contributorId":73428,"corporation":false,"usgs":true,"family":"Williams","given":"G.","affiliations":[],"preferred":false,"id":449112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Langness, O.P.","contributorId":24585,"corporation":false,"usgs":true,"family":"Langness","given":"O.P.","affiliations":[],"preferred":false,"id":449105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCovey, B.W. Jr.","contributorId":66931,"corporation":false,"usgs":true,"family":"McCovey","given":"B.W.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":449111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belchik, M.","contributorId":20998,"corporation":false,"usgs":true,"family":"Belchik","given":"M.","email":"","affiliations":[],"preferred":false,"id":449104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vogel, D.","contributorId":57677,"corporation":false,"usgs":true,"family":"Vogel","given":"D.","email":"","affiliations":[],"preferred":false,"id":449108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pinnix, W.","contributorId":9482,"corporation":false,"usgs":true,"family":"Pinnix","given":"W.","affiliations":[],"preferred":false,"id":449103,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kelly, J.T.","contributorId":60034,"corporation":false,"usgs":true,"family":"Kelly","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":449110,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Heublein, J.C.","contributorId":38797,"corporation":false,"usgs":true,"family":"Heublein","given":"J.C.","affiliations":[],"preferred":false,"id":449107,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Klimley, A.P.","contributorId":26897,"corporation":false,"usgs":true,"family":"Klimley","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":449106,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70035030,"text":"70035030 - 2011 - A perspective on nonstationarity and water management","interactions":[],"lastModifiedDate":"2013-05-23T14:44:34","indexId":"70035030","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A perspective on nonstationarity and water management","docAbstract":"This essay offers some perspectives on climate-related nonstationarity and water resources. Hydrologists must not lose sight of the many sources of nonstationarity, recognizing that many of them may be of much greater magnitude than those that may arise from climate change. It is paradoxical that statistical and deterministic approaches give us better insights about changes in mean conditions than about the tails of probability distributions, and yet the tails are very important to water management. Another paradox is that it is difficult to distinguish between long-term hydrologic persistence and trend. Using very long hydrologic records is helpful in mitigating this problem, but does not guarantee success. Empirical approaches, using long-term hydrologic records, should be an important part of the portfolio of research being applied to understand the hydrologic response to climate change. An example presented here shows very mixed results for trends in the size of the annual floods, with some strong clusters of positive trends and a strong cluster of negative trends. The potential for nonstationarity highlights the importance of the continuity of hydrologic records, the need for repeated analysis of the data as the time series grow, and the need for a well-trained cadre of scientists and engineers, ready to interpret the data and use those analyses to help adjust the management of our water resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","doi":"10.1111/j.1752-1688.2011.00539.x","issn":"1093474X","usgsCitation":"Hirsch, R., 2011, A perspective on nonstationarity and water management: Journal of the American Water Resources Association, v. 47, no. 3, p. 436-446, https://doi.org/10.1111/j.1752-1688.2011.00539.x.","productDescription":"11 p.","startPage":"436","endPage":"446","costCenters":[],"links":[{"id":215141,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00539.x"},{"id":242919,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"5059e2f5e4b0c8380cd45d57","contributors":{"authors":[{"text":"Hirsch, R.M.","contributorId":58639,"corporation":false,"usgs":true,"family":"Hirsch","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":448959,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035029,"text":"70035029 - 2011 - Reduction of garbage in the diet of nonbreeding glaucous gulls corresponding to a change in waste management","interactions":[],"lastModifiedDate":"2017-11-15T13:39:36","indexId":"70035029","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Reduction of garbage in the diet of nonbreeding glaucous gulls corresponding to a change in waste management","docAbstract":"Glaucous gulls (Larus hyperboreus) are major predators in the Arctic and may benefit from human development. We studied use of garbage by glaucous gulls in Barrow, Alaska, in 2007, when municipal waste was disposed of in a landfill, and in 2008, when it was incinerated. In both years, diet samples from breeding adult gulls contained less garbage than those from loafing nonbreeding gulls (mostly subadults of less than four years), possibly because the breeding colony was more distant than many loafing sites from the landfills. Although breeding gull samples showed no change, garbage in regurgitated pellets and food remains of nonbreeding gulls was significantly less prevalent in 2008 than in 2007 (28% vs. 43% occurrence in diet samples), and this reduction could be explained by the switch from landfill to waste incineration. Yet garbage remained a substantial part of nonbreeding gull diet after the management change. Other aspects of waste management, such as storage prior to disposal, may also be important in limiting scavengers’ access to garbage and thus reducing the indirect impact of human development on prey species of conservation concern.
","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4101","issn":"00040843","usgsCitation":"Weiser, E., and Powell, A.N., 2011, Reduction of garbage in the diet of nonbreeding glaucous gulls corresponding to a change in waste management: Arctic, v. 64, no. 2, p. 220-226, https://doi.org/10.14430/arctic4101.","productDescription":"7 p.","startPage":"220","endPage":"226","numberOfPages":"7","ipdsId":"IP-017806","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487245,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4101","text":"Publisher Index Page"},{"id":242887,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-06-02","publicationStatus":"PW","scienceBaseUri":"50e4a3dbe4b0e8fec6cdb9e2","contributors":{"authors":[{"text":"Weiser, Emily L.","contributorId":171678,"corporation":false,"usgs":false,"family":"Weiser","given":"Emily L.","affiliations":[],"preferred":false,"id":448957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":448958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034529,"text":"70034529 - 2011 - Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea","interactions":[],"lastModifiedDate":"2021-04-16T21:23:06.218555","indexId":"70034529","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea","docAbstract":"The Mt Giluwe shield volcano was the largest area glaciated in Papua New Guinea during the Pleistocene. Despite minimal cooling of the sea surface during the last glacial maximum, glaciers reached elevations as low as 3200 m. To investigate changes in the extent of ice through time we have re-mapped evidence for glaciation on the southwest flank of Mt Giluwe. We find that an ice cap has formed on the flanks of the mountain on at least three, and probably four, separate occasions. To constrain the ages of these glaciations we present 39 new cosmogenic 36Cl exposure ages complemented by new radiocarbon dates. Direct dating of the moraines identifies that the maximum extent of glaciation on the mountain was not during the last glacial maximum as previously thought. In conjunction with existing potassium/argon and radiocarbon dating, we recognise four distinct glacial periods between 293–306 ka (Gogon Glaciation), 136–158 ka (Mengane Glaciation), centred at 62 ka (Komia Glaciation) and from >20.3–11.5 ka (Tongo Glaciation). The temperature difference relative to the present during the Tongo Glaciation is likely to be of the order of at least 5 °C which is a minimum difference for the previous glaciations. During the Tongo Glaciation, ice was briefly at its maximum for less than 1000 years, but stayed near maximum levels for nearly 4000 years, until about 15.4 ka. Over the next 4000 years there was more rapid retreat with ice free conditions by the early Holocene.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2011.05.022","issn":"02773791","usgsCitation":"Barrows, T., Hope, G., Prentice, M., Fifield, L., and Tims, S., 2011, Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea: Quaternary Science Reviews, v. 30, no. 19-20, p. 2676-2689, https://doi.org/10.1016/j.quascirev.2011.05.022.","productDescription":"14 p.","startPage":"2676","endPage":"2689","costCenters":[],"links":[{"id":243371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215559,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2011.05.022"}],"volume":"30","issue":"19-20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4513e4b0c8380cd67000","contributors":{"authors":[{"text":"Barrows, T.T.","contributorId":53620,"corporation":false,"usgs":true,"family":"Barrows","given":"T.T.","email":"","affiliations":[],"preferred":false,"id":446234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hope, G.S.","contributorId":97730,"corporation":false,"usgs":true,"family":"Hope","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":446236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, M.L.","contributorId":81227,"corporation":false,"usgs":true,"family":"Prentice","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":446235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fifield, L.K.","contributorId":47575,"corporation":false,"usgs":true,"family":"Fifield","given":"L.K.","email":"","affiliations":[],"preferred":false,"id":446233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tims, S.G.","contributorId":107958,"corporation":false,"usgs":true,"family":"Tims","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":446237,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034532,"text":"70034532 - 2011 - Storage as a Metric of Catchment Comparison","interactions":[],"lastModifiedDate":"2021-04-16T21:09:39.262456","indexId":"70034532","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Storage as a Metric of Catchment Comparison","docAbstract":"The volume of water stored within a catchment, and its partitioning among groundwater, soil moisture, snowpack, vegetation, and surface water are the variables that ultimately characterize the state of the hydrologic system. Accordingly, storage may provide useful metrics for catchment comparison. Unfortunately, measuring and predicting the amount of water present in a catchment is seldom done; tracking the dynamics of these stores is even rarer. Storage moderates fluxes and exerts critical controls on a wide range of hydrologic and biologic functions of a catchment. While understanding runoff generation and other processes by which catchments release water will always be central to hydrologic science, it is equally essential to understand how catchments retain water. We have initiated a catchment comparison exercise to begin assessing the value of viewing catchments from the storage perspective. The exercise is based on existing data from five watersheds, no common experimental design, and no integrated modelling efforts. Rather, storage was estimated independently for each site. This briefing presents some initial results of the exercise, poses questions about the definitions and importance of storage and the storage perspective, and suggests future directions for ongoing activities.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8113","issn":"08856087","usgsCitation":"McNamara, J.P., Tetzlaff, D., Bishop, K., Soulsby, C., Seyfried, M., Peters, N., Aulenbach, B., and Hooper, R., 2011, Storage as a Metric of Catchment Comparison: Hydrological Processes, v. 25, no. 21, p. 3364-3371, https://doi.org/10.1002/hyp.8113.","productDescription":"8 p.","startPage":"3364","endPage":"3371","costCenters":[],"links":[{"id":243438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215622,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8113"}],"volume":"25","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505b986de4b08c986b31c01f","contributors":{"authors":[{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tetzlaff, D.","contributorId":106622,"corporation":false,"usgs":true,"family":"Tetzlaff","given":"D.","email":"","affiliations":[],"preferred":false,"id":446252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, K.","contributorId":43191,"corporation":false,"usgs":true,"family":"Bishop","given":"K.","email":"","affiliations":[],"preferred":false,"id":446248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soulsby, C.","contributorId":40713,"corporation":false,"usgs":true,"family":"Soulsby","given":"C.","affiliations":[],"preferred":false,"id":446247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seyfried, M.","contributorId":51119,"corporation":false,"usgs":true,"family":"Seyfried","given":"M.","email":"","affiliations":[],"preferred":false,"id":446249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":446245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aulenbach, Brent T.","contributorId":62766,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent T.","affiliations":[],"preferred":false,"id":446250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hooper, R.","contributorId":40036,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","affiliations":[],"preferred":false,"id":446246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70035022,"text":"70035022 - 2011 - Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA","interactions":[],"lastModifiedDate":"2021-03-02T21:03:44.203144","indexId":"70035022","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA","docAbstract":"The potential health impact of As in drinking water supply systems in the Mississippi River Valley alluvial aquifer in the state of Arkansas, USA is significant. In this context it is important to understand the occurrence, distribution and mobilization of As in the Mississippi River Valley alluvial aquifer. Application of surface complexation models (SCMs) to predict the sorption behavior of As and hydrous Fe oxides (HFO) in the laboratory has increased in the last decade. However, the application of SCMs to predict the sorption of As in natural sediments has not often been reported, and such applications are greatly constrained by the lack of site-specific model parameters. Attempts have been made to use SCMs considering a component additivity (CA) approach which accounts for relative abundances of pure phases in natural sediments, followed by the addition of SCM parameters individually for each phase. Although few reliable and internally consistent sorption databases related to HFO exist, the use of SCMs using laboratory-derived sorption databases to predict the mobility of As in natural sediments has increased. This study is an attempt to evaluate the ability of the SCMs using the geochemical code PHREEQC to predict solid phase As in the sediments of the Mississippi River Valley alluvial aquifer in Arkansas. The SCM option of the double-layer model (DLM) was simulated using ferrihydrite and goethite as sorbents quantified from chemical extractions, calculated surface-site densities, published surface properties, and published laboratory-derived sorption constants for the sorbents. The model results are satisfactory for shallow wells (10.6 m below ground surface), where the redox condition is relatively oxic or mildly suboxic. However, for the deep alluvial aquifer (21–36.6 m below ground surface) where the redox condition is suboxic to anoxic, the model results are unsatisfactory.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.01.008","issn":"08832927","usgsCitation":"Sharif, M., Davis, R., Steele, K., Kim, B., Hays, P., Kresse, T., and Fazio, J., 2011, Surface complexation modeling for predicting solid phase arsenic concentrations in the sediments of the Mississippi River Valley alluvial aquifer, Arkansas, USA: Applied Geochemistry, v. 26, no. 4, p. 496-504, https://doi.org/10.1016/j.apgeochem.2011.01.008.","productDescription":"9 p.","startPage":"496","endPage":"504","costCenters":[],"links":[{"id":243316,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215506,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.01.008"}],"country":"United States","state":"Arkansas","county":"Jefferson","otherGeospatial":"Mississippi River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.3345947265625,\n 33.85673152928873\n ],\n [\n -91.2689208984375,\n 33.85673152928873\n ],\n [\n -91.2689208984375,\n 34.59704151614417\n ],\n [\n -92.3345947265625,\n 34.59704151614417\n ],\n [\n -92.3345947265625,\n 33.85673152928873\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9f9ce4b08c986b31e6ee","contributors":{"authors":[{"text":"Sharif, M.S.U.","contributorId":7102,"corporation":false,"usgs":true,"family":"Sharif","given":"M.S.U.","email":"","affiliations":[],"preferred":false,"id":448916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, R.K.","contributorId":85307,"corporation":false,"usgs":true,"family":"Davis","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":448920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele, K.F.","contributorId":50270,"corporation":false,"usgs":true,"family":"Steele","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":448917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, B.","contributorId":93173,"corporation":false,"usgs":true,"family":"Kim","given":"B.","email":"","affiliations":[],"preferred":false,"id":448921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hays, P.D.","contributorId":64682,"corporation":false,"usgs":true,"family":"Hays","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":448919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kresse, T.M.","contributorId":107019,"corporation":false,"usgs":true,"family":"Kresse","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":448922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fazio, J.A.","contributorId":63135,"corporation":false,"usgs":true,"family":"Fazio","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":448918,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035021,"text":"70035021 - 2011 - Efficacy and toxicity of iodine disinfection of Atlantic salmon eggs","interactions":[],"lastModifiedDate":"2012-12-19T15:28:04","indexId":"70035021","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy and toxicity of iodine disinfection of Atlantic salmon eggs","docAbstract":"Recent interest in the restoration of Atlantic salmon Salmo salar in the Great Lakes has given rise to new culture techniques and management programs designed to reduce pathogen transmission while stabilizing and enhancing wild populations. We examined the toxicity of iodine to Atlantic salmon eggs and its effectiveness as a disinfectant against bacteria on egg surfaces. We spawned and fertilized eight gravid Atlantic salmon from Cayuga Lake, New York, and exposed their eggs to 10 concentrations of iodine (5, 10, 50, 75, 100, 500, 750, 1,000, 5,000, and 7,500 mg/L) for 30 min during water hardening. An additional subsample of unfertilized eggs was also exposed to some of the same concentrations of iodine (5, 10, 50, 75, and 100 mg/L) to determine the efficiency of disinfection. Viable eggs were only obtained from four females. Survival of eggs to the eyed stage and hatch tended to be reduced at iodine concentrations of 50 and 75 mg/L and was significantly reduced at concentrations of 100 mg/L iodine or more. We calculated the concentrations of iodine that killed 50% of the Atlantic salmon eggs at eye-up and hatch to be 175 and 85 mg/L, respectively. Aeromonas veronii, A. schubertii, A. hydrophila, A. caviae, Plesiomonas shiggeloides, and Citrobacter spp. were the predominant bacteria present on the surface of green eggs and were significantly reduced by an iodine immersion. The use of iodine as a disinfectant on Atlantic salmon eggs was effective at low concentrations (50–75 mg/L), for which toxicity to Atlantic salmon was minimal.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Aquaculture","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/15222055.2011.559865","issn":"15222055","usgsCitation":"Chalupnicki, M., Ketola, H.G., Starliper, C.E., and Gallagher, D., 2011, Efficacy and toxicity of iodine disinfection of Atlantic salmon eggs: North American Journal of Aquaculture, v. 73, no. 2, p. 124-128, https://doi.org/10.1080/15222055.2011.559865.","productDescription":"5 p.","startPage":"124","endPage":"128","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":215476,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/15222055.2011.559865"},{"id":243284,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-09","publicationStatus":"PW","scienceBaseUri":"505a0853e4b0c8380cd51a92","contributors":{"authors":[{"text":"Chalupnicki, M.A.","contributorId":37966,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"M.A.","affiliations":[],"preferred":false,"id":448912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ketola, H. G.","contributorId":60976,"corporation":false,"usgs":true,"family":"Ketola","given":"H.","middleInitial":"G.","affiliations":[],"preferred":false,"id":448915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starliper, C. E.","contributorId":59739,"corporation":false,"usgs":true,"family":"Starliper","given":"C.","middleInitial":"E.","affiliations":[],"preferred":false,"id":448914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallagher, D.","contributorId":42803,"corporation":false,"usgs":true,"family":"Gallagher","given":"D.","email":"","affiliations":[],"preferred":false,"id":448913,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034544,"text":"70034544 - 2011 - Singular and interactive effects of blowdown, salvage logging, and wildfire in sub-boreal pine systems","interactions":[],"lastModifiedDate":"2021-04-16T20:17:04.936512","indexId":"70034544","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Singular and interactive effects of blowdown, salvage logging, and wildfire in sub-boreal pine systems","docAbstract":"The role of disturbance in structuring vegetation is widely recognized; however, we are only beginning to understand the effects of multiple interacting disturbances on ecosystem recovery and development. Of particular interest is the impact of post-disturbance management interventions, particularly in light of the global controversy surrounding the effects of salvage logging on forest ecosystem recovery. Studies of salvage logging impacts have focused on the effects of post-disturbance salvage logging within the context of a single natural disturbance event. There have been no formal evaluations of how these effects may differ when followed in short sequence by a second, high severity natural disturbance. To evaluate the impact of this management practice within the context of multiple disturbances, we examined the structural and woody plant community responses of sub-boreal Pinus banksiana systems to a rapid sequence of disturbances. Specifically, we compared responses to Blowdown (B), Fire (F), Blowdown–Fire, and Blowdown–Salvage–Fire (BSF) and compared these to undisturbed control (C) stands. Comparisons between BF and BSF indicated that the primary effect of salvage logging was a decrease in the abundance of structural legacies, such as downed woody debris and snags. Both of these compound disturbance sequences (BF and BSF), resulted in similar woody plant communities, largely dominated by Populus tremuloides; however, there was greater homogeneity in community composition in salvage logged areas. Areas experiencing solely fire (F stands) were dominated by P. banksiana regeneration, and blowdown areas (B stands) were largely characterized by regeneration from shade tolerant conifer species. Our results suggest that salvage logging impacts on woody plant communities are diminished when followed by a second high severity disturbance; however, impacts on structural legacies persist. Provisions for the retention of snags, downed logs, and surviving trees as part of salvage logging operations will minimize these structural impacts and may allow for greater ecosystem recovery following these disturbance combinations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2011.09.003","issn":"03781127","usgsCitation":"D’Amato, A., Fraver, S., Palik, B., Bradford, J., and Patty, L., 2011, Singular and interactive effects of blowdown, salvage logging, and wildfire in sub-boreal pine systems: Forest Ecology and Management, v. 262, no. 11, p. 2070-2078, https://doi.org/10.1016/j.foreco.2011.09.003.","productDescription":"9 p.","startPage":"2070","endPage":"2078","costCenters":[],"links":[{"id":243626,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215800,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2011.09.003"}],"volume":"262","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b90e3e4b08c986b3196bf","contributors":{"authors":[{"text":"D’Amato, A.W.","contributorId":86577,"corporation":false,"usgs":true,"family":"D’Amato","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":446317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fraver, S.","contributorId":93718,"corporation":false,"usgs":true,"family":"Fraver","given":"S.","affiliations":[],"preferred":false,"id":446318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palik, B.J.","contributorId":24953,"corporation":false,"usgs":true,"family":"Palik","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":446314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, J.B.","contributorId":62036,"corporation":false,"usgs":true,"family":"Bradford","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":446315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patty, L.","contributorId":80922,"corporation":false,"usgs":true,"family":"Patty","given":"L.","email":"","affiliations":[],"preferred":false,"id":446316,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034556,"text":"70034556 - 2011 - A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States","interactions":[],"lastModifiedDate":"2021-04-16T19:43:17.608421","indexId":"70034556","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States","docAbstract":"We applied the SPARROW model to estimate phosphorus transport from catchments to stream reaches and subsequent delivery to major receiving water bodies in the Southeastern United States (U.S.). We show that six source variables and five land‐to‐water transport variables are significant (p < 0.05) in explaining 67% of the variability in long‐term log‐transformed mean annual phosphorus yields. Three land‐to‐water variables are a subset of landscape characteristics that have been used as transport factors in phosphorus indices developed by state agencies and are identified through experimental research as influencing land‐to‐water phosphorus transport at field and plot scales. Two land‐to‐water variables – soil organic matter and soil pH – are associated with phosphorus sorption, a significant finding given that most state‐developed phosphorus indices do not explicitly contain variables for sorption processes. Our findings for Southeastern U.S. streams emphasize the importance of accounting for phosphorus present in the soil profile to predict attainable instream water quality. Regional estimates of phosphorus associated with soil‐parent rock were highly significant in explaining instream phosphorus yield variability. Model predictions associate 31% of phosphorus delivered to receiving water bodies to geology and the highest total phosphorus yields in the Southeast were catchments with already high background levels that have been impacted by human activity.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2010.00517.x","issn":"1093474X","usgsCitation":"Garcia, A., Hoos, A., and Terziotti, S., 2011, A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 991-1010, https://doi.org/10.1111/j.1752-1688.2010.00517.x.","productDescription":"20 p.","startPage":"991","endPage":"1010","costCenters":[],"links":[{"id":475227,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00517.x","text":"External Repository"},{"id":243814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215975,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00517.x"}],"country":"United States","state":"Florida, Georgia, South Carolina, North Carolina, Virginia, Tennessee, Kentucky, Mississippi, Alabama, Georgia","otherGeospatial":"Southeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.353515625,\n 26.96124577052697\n ],\n [\n -80.419921875,\n 27.780771643348196\n ],\n [\n -81.474609375,\n 30.50548389892728\n ],\n [\n -80.96923828125,\n 32.008075959291055\n ],\n [\n -79.3212890625,\n 33.17434155100208\n ],\n [\n -77.58544921874999,\n 34.14363482031264\n ],\n [\n -75.3662109375,\n 35.79999392988527\n ],\n [\n -75.498046875,\n 36.686041276581925\n ],\n [\n -82.8369140625,\n 36.98500309285596\n ],\n [\n -86.5283203125,\n 35.96022296929667\n ],\n [\n -88.22021484375,\n 36.94989178681327\n ],\n [\n -89.27490234375,\n 36.56260003738545\n ],\n [\n -87.9345703125,\n 35.24561909420681\n ],\n [\n -89.31884765624999,\n 34.03445260967645\n ],\n [\n -89.62646484375,\n 31.74685416292141\n ],\n [\n -89.62646484375,\n 30.088107753367257\n ],\n [\n -86.68212890625,\n 30.315987718557867\n ],\n [\n -85.40771484375,\n 30.050076521698735\n ],\n [\n -85.2978515625,\n 29.554345125748267\n ],\n [\n -84.287109375,\n 29.973970240516614\n ],\n [\n -83.03466796874999,\n 29.11377539511439\n ],\n [\n -82.7490234375,\n 28.76765910569123\n ],\n [\n -82.96875,\n 27.780771643348196\n ],\n [\n -82.353515625,\n 26.96124577052697\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-10","publicationStatus":"PW","scienceBaseUri":"5059e2ffe4b0c8380cd45d88","contributors":{"authors":[{"text":"Garcia, A.M.","contributorId":31585,"corporation":false,"usgs":true,"family":"Garcia","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":446388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoos, A.B.","contributorId":23572,"corporation":false,"usgs":true,"family":"Hoos","given":"A.B.","affiliations":[],"preferred":false,"id":446387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.","contributorId":102710,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.","email":"","affiliations":[],"preferred":false,"id":446389,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034564,"text":"70034564 - 2011 - Landslide inventories: The essential part of seismic landslide hazard analyses","interactions":[],"lastModifiedDate":"2021-04-16T17:52:18.946744","indexId":"70034564","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Landslide inventories: The essential part of seismic landslide hazard analyses","docAbstract":"A detailed and accurate landslide inventory is an essential part of seismic landslide hazard analysis. An ideal inventory would cover the entire area affected by an earthquake and include all of the landslides that are possible to detect down to sizes of 1–5 m in length. The landslides must also be located accurately and mapped as polygons depicting their true shapes. Such mapped landslide distributions can then be used to perform seismic landslide hazard analysis and other quantitative analyses. Detailed inventory maps of landslide triggered by earthquakes began in the early 1960s with the use of aerial photography. In recent years, advances in technology have resulted in the accessibility of satellite imagery with sufficiently high resolution to identify and map all but the smallest of landslides triggered by a seismic event. With this ability to view any area of the globe, we can acquire imagery for any earthquake that triggers significant numbers of landslides. However, a common problem of incomplete coverage of the full distributions of landslides has emerged along with the advent of high resolution satellite imagery.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2010.06.013","issn":"00137952","usgsCitation":"Harp, E.L., Keefer, D.K., Sato, H., and Yagi, H., 2011, Landslide inventories: The essential part of seismic landslide hazard analyses: Engineering Geology, v. 122, no. 1-2, p. 9-21, https://doi.org/10.1016/j.enggeo.2010.06.013.","productDescription":"13 p.","startPage":"9","endPage":"21","costCenters":[],"links":[{"id":243441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215625,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.enggeo.2010.06.013"}],"volume":"122","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a442de4b0c8380cd6690a","contributors":{"authors":[{"text":"Harp, E. L.","contributorId":59026,"corporation":false,"usgs":true,"family":"Harp","given":"E.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keefer, D. K.","contributorId":21176,"corporation":false,"usgs":true,"family":"Keefer","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":446416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sato, H.P.","contributorId":29235,"corporation":false,"usgs":true,"family":"Sato","given":"H.P.","email":"","affiliations":[],"preferred":false,"id":446417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yagi, H.","contributorId":67746,"corporation":false,"usgs":true,"family":"Yagi","given":"H.","email":"","affiliations":[],"preferred":false,"id":446419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034565,"text":"70034565 - 2011 - Emergence of viral hemorrhagic septicemia virus in the North American Great Lakes region is associated with low viral genetic diversity","interactions":[],"lastModifiedDate":"2013-05-09T22:03:52","indexId":"70034565","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Emergence of viral hemorrhagic septicemia virus in the North American Great Lakes region is associated with low viral genetic diversity","docAbstract":"Viral hemorrhagic septicemia virus (VHSV) is a fish rhabdovirus that causes disease in a broad range of marine and freshwater hosts. The known geographic range includes the Northern Atlantic and Pacific Oceans, and recently it has invaded the Great Lakes region of North America. The goal of this work was to characterize genetic diversity of Great Lakes VHSV isolates at the early stage of this viral emergence by comparing a partial glycoprotein (G) gene sequence (669 nt) of 108 isolates collected from 2003 to 2009 from 31 species and at 37 sites. Phylogenetic analysis showed that all isolates fell into sub-lineage IVb within the major VHSV genetic group IV. Among these 108 isolates, genetic diversity was low, with a maximum of 1.05% within the 669 nt region. There were 11 unique sequences, designated vcG001 to vcG011. Two dominant sequence types, vcG001 and vcG002, accounted for 90% (97 of 108) of the isolates. The vcG001 isolates were most widespread. We saw no apparent association of sequence type with host or year of isolation, but we did note a spatial pattern, in which vcG002 isolates were more prevalent in the easternmost sub-regions, including inland New York state and the St. Lawrence Seaway. Different sequence types were found among isolates from single disease outbreaks, and mixtures of types were evident within 2 isolates from individual fish. Overall, the genetic diversity of VHSV in the Great Lakes region was found to be extremely low, consistent with an introduction of a new virus into a geographic region with previously naïve host populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diseases of Aquatic Organisms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/dao02362","issn":"01775103","usgsCitation":"Thompson, T., Batts, W., Faisal, M., Bowser, P., Casey, J., Phillips, K., Garver, K., Winton, J., and Kurath, G., 2011, Emergence of viral hemorrhagic septicemia virus in the North American Great Lakes region is associated with low viral genetic diversity: Diseases of Aquatic Organisms, v. 96, no. 1, p. 29-43, https://doi.org/10.3354/dao02362.","productDescription":"15 p.","startPage":"29","endPage":"43","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":475061,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02362","text":"Publisher Index Page"},{"id":215655,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/dao02362"},{"id":243474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a08ebe4b0c8380cd51d0e","contributors":{"authors":[{"text":"Thompson, T.M.","contributorId":32008,"corporation":false,"usgs":true,"family":"Thompson","given":"T.M.","email":"","affiliations":[],"preferred":false,"id":446423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batts, W.N. 0000-0002-6469-9004","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":51043,"corporation":false,"usgs":true,"family":"Batts","given":"W.N.","affiliations":[],"preferred":false,"id":446425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faisal, M.","contributorId":19116,"corporation":false,"usgs":true,"family":"Faisal","given":"M.","affiliations":[],"preferred":false,"id":446421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowser, P.","contributorId":27824,"corporation":false,"usgs":true,"family":"Bowser","given":"P.","email":"","affiliations":[],"preferred":false,"id":446422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, J.W.","contributorId":11987,"corporation":false,"usgs":true,"family":"Casey","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, K.","contributorId":104300,"corporation":false,"usgs":true,"family":"Phillips","given":"K.","affiliations":[],"preferred":false,"id":446428,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garver, K.A.","contributorId":42766,"corporation":false,"usgs":true,"family":"Garver","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":446424,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Winton, J.","contributorId":55627,"corporation":false,"usgs":true,"family":"Winton","given":"J.","email":"","affiliations":[],"preferred":false,"id":446426,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":100522,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":446427,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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