{"pageNumber":"1214","pageRowStart":"30325","pageSize":"25","recordCount":165277,"records":[{"id":70175335,"text":"70175335 - 2015 - Landscape community genomics: understanding eco-evolutionary processes in complex environments","interactions":[],"lastModifiedDate":"2017-05-03T13:39:18","indexId":"70175335","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Landscape community genomics: understanding eco-evolutionary processes in complex environments","docAbstract":"<p><span>Extrinsic factors influencing evolutionary processes are often categorically lumped into interactions that are environmentally (e.g., climate, landscape) or community-driven, with little consideration of the overlap or influence of one on the other. However, genomic variation is strongly influenced by complex and dynamic interactions between environmental and community effects. Failure to consider both effects on evolutionary dynamics simultaneously can lead to incomplete, spurious, or erroneous conclusions about the mechanisms driving genomic variation. We highlight the need for a landscape community genomics (LCG) framework to help to motivate and challenge scientists in diverse fields to consider a more holistic, interdisciplinary perspective on the genomic evolution of multi-species communities in complex environments.</span></p>","language":"English","publisher":"Cell Press","doi":"10.1016/j.tree.2015.01.005","usgsCitation":"Hand, B.K., Lowe, W.H., Kovach, R.P., Muhlfeld, C.C., and Luikart, G., 2015, Landscape community genomics: understanding eco-evolutionary processes in complex environments: Trends in Ecology and Evolution, v. 30, no. 3, p. 161-168, https://doi.org/10.1016/j.tree.2015.01.005.","productDescription":"8 p.","startPage":"161","endPage":"168","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060258","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":326116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8c7e4b0ebae89b7894c","contributors":{"authors":[{"text":"Hand, Brian K.","contributorId":145915,"corporation":false,"usgs":false,"family":"Hand","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":644761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":644762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan P. rkovach@usgs.gov","contributorId":5772,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","middleInitial":"P.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":644763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":644764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luikart, Gordon","contributorId":145746,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","email":"","affiliations":[{"id":16220,"text":"Flathead Lake Biological Station, Div. Biological Science, UM","active":true,"usgs":false}],"preferred":false,"id":644765,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174829,"text":"70174829 - 2015 - Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications","interactions":[],"lastModifiedDate":"2016-07-18T11:37:50","indexId":"70174829","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications","docAbstract":"<p><span>Cheney Reservoir, constructed during 1962 to 1965, is the primary water supply for the city of Wichita, the largest city in Kansas. Sediment is an important concern for the reservoir as it degrades water quality and progressively decreases water storage capacity. Long-term data collection provided a unique opportunity to estimate the annual suspended sediment loads for the entire history of the reservoir. To quantify and characterize sediment loading to Cheney Reservoir, discrete suspended sediment samples and continuously measured streamflow data were collected from the North Fork Ninnescah River, the primary inflow to Cheney Reservoir, over a 48-year period. Continuous turbidity data also were collected over a 15-year period. These data were used together to develop simple linear regression models to compute continuous suspended sediment concentrations and loads from 1966 to 2013. The inclusion of turbidity as an additional explanatory variable with streamflow improved regression model diagnostics and increased the amount of variability in suspended sediment concentration explained by 14%. Using suspended sediment concentration from the streamflow-only model, the average annual suspended sediment load was 102,517 t (113,006 tn) and ranged from 4,826 t (5,320 tn) in 1966 to 967,569 t (1,066,562 tn) in 1979. The sediment load in 1979 accounted for about 20% of the total load over the 48-year history of the reservoir and 92% of the 1979 sediment load occurred in one 24-hour period during a 1% annual exceedance probability flow event (104-year flood). Nearly 60% of the reservoir sediment load during the 48-year study period occurred in 5 years with extreme flow events (9% to 1% annual exceedance probability, or 11- to 104-year flood events). A substantial portion (41%) of sediment was transported to the reservoir during five storm events spanning only eight 24-hour periods during 1966 to 2013. Annual suspended sediment load estimates based on streamflow were, on average, within &plusmn;20% of estimates based on streamflow and turbidity combined. Results demonstrate that large suspended sediment loads are delivered to Cheney Reservoir in very short time periods, indicating that sediment management plans eventually must address large, infrequent inflow events to be effective.</span></p>","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.70.2.91","usgsCitation":"Stone, M.L., Juracek, K.E., Graham, J., and Foster, G.M., 2015, Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications: Journal of Soil and Water Conservation, v. 70, no. 2, p. 91-100, https://doi.org/10.2489/jswc.70.2.91.","productDescription":"10 p.","startPage":"91","endPage":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058102","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":472250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.70.2.91","text":"Publisher Index Page"},{"id":325358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Cheney Reservoir Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.0692138671875,\n              37.67077737288316\n            ],\n            [\n              -99.0692138671875,\n              38.01564013749379\n            ],\n            [\n              -97.77145385742188,\n              38.01564013749379\n            ],\n            [\n              -97.77145385742188,\n              37.67077737288316\n            ],\n            [\n              -99.0692138671875,\n              37.67077737288316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"70","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-12","publicationStatus":"PW","scienceBaseUri":"578dfdb8e4b0f1bea0e0f8e1","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":642669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Guy M. 0000-0002-9581-057X gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":149145,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642670,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173610,"text":"70173610 - 2015 - Modeling risk of pneumonia epizootics in bighorn sheep","interactions":[],"lastModifiedDate":"2016-06-09T15:59:48","indexId":"70173610","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling risk of pneumonia epizootics in bighorn sheep","docAbstract":"<p><span>Pneumonia epizootics are a major challenge for management of bighorn sheep (</span><i>Ovis canadensis</i><span>) affecting persistence of herds, satisfaction of stakeholders, and allocations of resources by management agencies. Risk factors associated with the disease are poorly understood, making pneumonia epizootics hard to predict; such epizootics are thus managed reactively rather than proactively. We developed a model for herds in Montana that identifies risk factors and addresses biological questions about risk. Using Bayesian logistic regression with repeated measures, we found that private land, weed control using domestic sheep or goats, pneumonia history, and herd density were positively associated with risk of pneumonia epizootics in 43 herds that experienced 22 epizootics out of 637 herd-years from 1979&ndash;2013. We defined an area of high risk for pathogen exposure as the area of each herd distribution plus a 14.5-km buffer from that boundary. Within this area, the odds of a pneumonia epizootic increased by &gt;1.5 times per additional unit of private land (unit is the standardized % of private land where global&nbsp;</span><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.824/asset/equation/jwmg824-math-0001.gif?v=1&amp;t=ip8saaca&amp;s=fdeb51dcf0a30d35ed9230feb228854b91c6cd53\" alt=\"inline image\" /><span>&thinsp;=&thinsp;25.58% and SD&thinsp;=&thinsp;14.53%). Odds were &gt;3.3 times greater if domestic sheep or goats were used for weed control in a herd's area of high risk. If a herd or its neighbors within the area of high risk had a history of a pneumonia epizootic, odds of a subsequent pneumonia epizootic were &gt;10 times greater. Risk greatly increased when herds were at high density, with nearly 15 times greater odds of a pneumonia epizootic compared to when herds were at low density. Odds of a pneumonia epizootic also appeared to decrease following increased spring precipitation (odds&thinsp;=&thinsp;0.41 per unit increase, global&nbsp;</span><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.824/asset/equation/jwmg824-math-0002.gif?v=1&amp;t=ip8saacb&amp;s=780701fc1c3b1dbbb130e63b3930254bb91f4a97\" alt=\"inline image\" /><span>&thinsp;=&thinsp;100.18% and SD&thinsp;=&thinsp;26.97%). Risk was not associated with number of federal sheep and goat allotments, proximity to nearest herds of bighorn sheep, ratio of rams to ewes, percentage of average winter precipitation, or whether herds were of native versus mixed or reintroduced origin. We conclude that factors associated with risk of pneumonia epizootics are complex and may not always be from the most obvious sources. The ability to identify high-risk herds will help biologists and managers determine where to focus management efforts and the risk factors that most affect each herd, facilitating more effective, proactive management.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.824","usgsCitation":"Sells, S.N., Mitchell, M.S., Nowak, J.J., Lukacs, P.M., Anderson, N.J., Ramsey, J.M., Gude, J., and Krausman, P.R., 2015, Modeling risk of pneumonia epizootics in bighorn sheep: Journal of Wildlife Management, v. 79, no. 2, p. 195-210, https://doi.org/10.1002/jwmg.824.","productDescription":"16 p.","startPage":"195","endPage":"210","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057280","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-13","publicationStatus":"PW","scienceBaseUri":"575a9334e4b04f417c275168","contributors":{"authors":[{"text":"Sells, Sarah N.","contributorId":171706,"corporation":false,"usgs":false,"family":"Sells","given":"Sarah","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":638343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowak, J. Joshua","contributorId":171707,"corporation":false,"usgs":false,"family":"Nowak","given":"J.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":638344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Neil J.","contributorId":85870,"corporation":false,"usgs":true,"family":"Anderson","given":"Neil","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramsey, Jennifer M.","contributorId":88254,"corporation":false,"usgs":true,"family":"Ramsey","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638347,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gude, Justin A.","contributorId":95780,"corporation":false,"usgs":true,"family":"Gude","given":"Justin A.","affiliations":[],"preferred":false,"id":638348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638349,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70176209,"text":"70176209 - 2015 - Thermal maturity of <i>Tasmanites</i> microfossils from confocal laser scanning fluorescence microscopy","interactions":[],"lastModifiedDate":"2016-09-01T16:24:09","indexId":"70176209","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Thermal maturity of <i>Tasmanites</i> microfossils from confocal laser scanning fluorescence microscopy","docAbstract":"<p><span>We report here, for the first time, spectral properties of </span><i>Tasmanites</i><span> microfossils determined by confocal laser scanning fluorescence microscopy (CLSM, using Ar 458&nbsp;nm excitation). The </span><i>Tasmanites</i><span> occur in a well-characterized natural maturation sequence (</span><i>R<sub>o</sub></i><span> 0.48–0.74%) of Devonian shale (</span><i>n</i><span>&nbsp;=&nbsp;3 samples) from the Appalachian Basin. Spectral property </span><i>λ</i><sub>max</sub><span> shows excellent agreement (</span><i>r</i><sup>2</sup><span>&nbsp;=&nbsp;0.99) with extant spectra from interlaboratory studies which used conventional fluorescence microscopy techniques. This result suggests spectral measurements from CLSM can be used to infer thermal maturity of fluorescent organic materials in geologic samples. Spectra of regions with high fluorescence intensity at fold apices and flanks in individual </span><i>Tasmanites</i><span> are blue-shifted relative to less-deformed areas in the same body that have lower fluorescence intensity. This is interpreted to result from decreased quenching moiety concentration at these locations, and indicates caution is needed in the selection of measurement regions in conventional fluorescence microscopy, where it is common practice to select high intensity regions for improved signal intensity and better signal to noise ratios. This study also documents application of CLSM to microstructural characterization of </span><i>Tasmanites</i><span> microfossils. Finally, based on an extant empirical relation between conventional </span><i>λ</i><sub>max</sub><span> values and bitumen reflectance, </span><i>λ</i><sub>max</sub><span> values from CLSM of </span><i>Tasmanites</i><span> microfossils can be used to calculate a bitumen reflectance equivalent value. The results presented herein can be used as a basis to broaden the future application of CLSM in the geological sciences into hydrocarbon prospecting and basin analysis.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2014.11.052","usgsCitation":"Hackley, P.C., and Kus, J., 2015, Thermal maturity of <i>Tasmanites</i> microfossils from confocal laser scanning fluorescence microscopy: Fuel, v. 143, p. 343-350, https://doi.org/10.1016/j.fuel.2014.11.052.","productDescription":"8 p.","startPage":"343","endPage":"350","ipdsId":"IP-059699","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c95131e4b0f2f0cec15c08","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":647805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Jolanta","contributorId":42893,"corporation":false,"usgs":true,"family":"Kus","given":"Jolanta","email":"","affiliations":[],"preferred":false,"id":647806,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70122888,"text":"70122888 - 2015 - Next-generation genomic shotgun sequencing indicates greater genetic variability in the mitochondria of <i>Hypophthalmichthys molitrix</i> relative to H. nobilis from the Mississippi River, USA and provides tools for research and detection","interactions":[],"lastModifiedDate":"2016-07-08T15:31:36","indexId":"70122888","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Next-generation genomic shotgun sequencing indicates greater genetic variability in the mitochondria of <i>Hypophthalmichthys molitrix</i> relative to H. nobilis from the Mississippi River, USA and provides tools for research and detection","docAbstract":"<p><span>We characterized variation within the mitochondrial genomes of the invasive silver carp (</span><i class=\"EmphasisTypeItalic \">Hypophthalmichthys molitrix</i><span>) and bighead carp (</span><i class=\"EmphasisTypeItalic \">H. nobilis</i><span>) from the Mississippi River drainage by mapping our Next-Generation sequences to their publicly available genomes. Variant detection resulted in 338 single-nucleotide polymorphisms for&nbsp;</span><i class=\"EmphasisTypeItalic \">H. molitrix</i><span>&nbsp;and 39 for&nbsp;</span><i class=\"EmphasisTypeItalic \">H. nobilis</i><span>. The much greater genetic variation in&nbsp;</span><i class=\"EmphasisTypeItalic \">H. molitrix</i><span>&nbsp;mitochondria relative to&nbsp;</span><i class=\"EmphasisTypeItalic \">H. nobilis</i><span>&nbsp;may be indicative of a greater North American female&nbsp;effective population size of the former. When variation was quantified by gene, many tRNA loci appear to have little or no variability based on our results whereas protein-coding regions were more frequently polymorphic. These results provide biologists with additional regions of DNA to be used as markers to study the invasion dynamics of these species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12686-014-0296-3","usgsCitation":"Miller, J.J., Eackles, M.S., Stauffer, J.R., and King, T.L., 2015, Next-generation genomic shotgun sequencing indicates greater genetic variability in the mitochondria of <i>Hypophthalmichthys molitrix</i> relative to H. nobilis from the Mississippi River, USA and provides tools for research and detection: Conservation Genetics Resources, v. 7, no. 1, p. 9-11, https://doi.org/10.1007/s12686-014-0296-3.","productDescription":"3 p.","startPage":"9","endPage":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055597","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":324955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"5780cebde4b0811616822390","contributors":{"authors":[{"text":"Miller, John J","contributorId":121236,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":519326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S. meackles@usgs.gov","contributorId":4371,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":519324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauffer, Jay R","contributorId":115581,"corporation":false,"usgs":true,"family":"Stauffer","given":"Jay","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":519325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":519323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154990,"text":"70154990 - 2015 - Mars Reconnaissance Orbiter and Opportunity observations of the Burns formation: crater hopping at Meridiani Planum","interactions":[],"lastModifiedDate":"2018-11-08T17:12:28","indexId":"70154990","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Mars Reconnaissance Orbiter and Opportunity observations of the Burns formation: crater hopping at Meridiani Planum","docAbstract":"<p><span>Compact Reconnaissance Imaging Spectrometer for Mars hyperspectral (1.0–2.65 µm) along-track oversampled observations covering Victoria, Santa Maria, Endeavour, and Ada craters were processed to 6 m/pixel and used in combination with Opportunity observations to detect and map hydrated Mg and Ca sulfate minerals in the Burns formation. The strongest spectral absorption features were found to be associated with outcrops that are relatively young and fresh (Ada) or preferentially scoured of dust, soil, and coatings by prevailing winds. At Victoria and Santa Maria, the scoured areas are on the southeastern rims and walls, opposite to the sides where wind-blown sands extend out of the craters. At Endeavour, the deepest absorptions are in Botany Bay, a subdued and buried rim segment that exhibits high thermal inertias, extensive outcrops, and is interpreted to be a region of enhanced wind scour extending up and out of the crater. Ada, Victoria, and Santa Maria outcrops expose the upper portion of the preserved Burns formation and show spectral evidence for the presence of kieserite. In contrast, gypsum is pervasive spectrally in the Botany Bay exposures. Gypsum, a relatively insoluble evaporative mineral, is interpreted to have formed close to the contact with the Noachian crust as rising groundwaters brought brines close to and onto the surface, either as a direct precipitate or during later diagenesis. The presence of kieserite at the top of the section is hypothesized to reflect precipitation from evaporatively concentrated brines or dehydration of polyhydrated sulfates.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JE004686","usgsCitation":"R.E. Arvidson, Bell, J., Catalano, J., Clark, B.C., Fox, V., Gellert, R., Grotzinger, J., Guinness, E., Herkenhoff, K.E., Knoll, A., Lapotre, M., McLennan, S.M., Ming, D.W., Morris, R., Murchie, S., Powell, K.E., Smith, M.D., Squyres, S.W., Wolff, M., and J.J. Wray, 2015, Mars Reconnaissance Orbiter and Opportunity observations of the Burns formation: crater hopping at Meridiani Planum: Journal of Geophysical Research E: Planets, v. 120, no. 3, p. 429-451, https://doi.org/10.1002/2014JE004686.","productDescription":"23 p.","startPage":"429","endPage":"451","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057611","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":472246,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:27708816","text":"External Repository"},{"id":305901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"120","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-18","publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309a","contributors":{"authors":[{"text":"R.E. Arvidson","contributorId":145513,"corporation":false,"usgs":false,"family":"R.E. Arvidson","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":564470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":565338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catalano, J.G.","contributorId":51196,"corporation":false,"usgs":true,"family":"Catalano","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":565339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, B. C.","contributorId":39918,"corporation":false,"usgs":true,"family":"Clark","given":"B.","middleInitial":"C.","affiliations":[],"preferred":false,"id":565340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, V.K.","contributorId":69058,"corporation":false,"usgs":true,"family":"Fox","given":"V.K.","email":"","affiliations":[],"preferred":false,"id":565341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gellert, Ralf","contributorId":35049,"corporation":false,"usgs":false,"family":"Gellert","given":"Ralf","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":565342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grotzinger, J.P.","contributorId":76053,"corporation":false,"usgs":true,"family":"Grotzinger","given":"J.P.","affiliations":[],"preferred":false,"id":565343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guinness, E.A.","contributorId":78070,"corporation":false,"usgs":true,"family":"Guinness","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":565344,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":564469,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Knoll, A.H.","contributorId":84885,"corporation":false,"usgs":true,"family":"Knoll","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":565345,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lapotre, M.G.A.","contributorId":145800,"corporation":false,"usgs":false,"family":"Lapotre","given":"M.G.A.","email":"","affiliations":[],"preferred":false,"id":565346,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McLennan, S. M.","contributorId":96733,"corporation":false,"usgs":true,"family":"McLennan","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":565347,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ming, D. W.","contributorId":96811,"corporation":false,"usgs":true,"family":"Ming","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":565348,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Morris, R.V.","contributorId":6978,"corporation":false,"usgs":true,"family":"Morris","given":"R.V.","affiliations":[],"preferred":false,"id":565349,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Murchie, S.L.","contributorId":7369,"corporation":false,"usgs":true,"family":"Murchie","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":565350,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Powell, K. E.","contributorId":145801,"corporation":false,"usgs":false,"family":"Powell","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":565351,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Smith, M. D.","contributorId":25724,"corporation":false,"usgs":false,"family":"Smith","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":565352,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":565353,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wolff, M.J.","contributorId":64374,"corporation":false,"usgs":true,"family":"Wolff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":565354,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"J.J. Wray","contributorId":145514,"corporation":false,"usgs":false,"family":"J.J. Wray","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":564471,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70182792,"text":"70182792 - 2015 - Mechanisms of nutrient retention and its relation to flow connectivity in river-floodplain corridors","interactions":[],"lastModifiedDate":"2017-03-01T14:50:19","indexId":"70182792","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of nutrient retention and its relation to flow connectivity in river-floodplain corridors","docAbstract":"<p><span>Understanding heterogeneity or patchiness in the distribution of vegetation and retention of C and nutrients in river corridors is critical for setting priorities for river management and restoration. Several mechanisms of spatial differentiation in nutrient retention in river and floodplain corridors have been recognized, but few studies have distinguished their relative importance or established their role in long-term geomorphic change, nutrient retention, and connectivity with downstream systems. We evaluated the ability of 3 mechanisms (evapotranspiration focusing [EF], differential hydrologic exchange [DHE], and particulate nutrient redistribution [PNR]) to explain spatial patterns of P retention and function in the Everglades (Florida, USA). We used field measurements in sloughs and on slightly higher, more densely vegetated ridges to quantify P fluxes attributable to the 3 mechanisms. EF does not explain Everglades nutrient retention or P concentrations on ridges and in sloughs. However, DHE resulting from different periods of groundwater–surface-water connectivity across topographic elements is the primary cause of elevated P concentrations on ridges and completely explains interpatch differences in long-term P accumulation rates. With historical flow velocities, which were an order of magnitude higher than at present, PNR would have further increased the interpatch difference in long-term P retention rates nearly 2-fold. In conclusion, DHE and PNR are the dominant drivers of nutrient patchiness in the Everglades and are hypothesized to be important in P-limited river and floodplain corridors globally.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/680024","usgsCitation":"Larsen, L., Harvey, J., and Maglio, M.M., 2015, Mechanisms of nutrient retention and its relation to flow connectivity in river-floodplain corridors: Freshwater Science, v. 34, no. 1, p. 187-205, https://doi.org/10.1086/680024.","productDescription":"19 p. ","startPage":"187","endPage":"205","ipdsId":"IP-055550","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":336779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba9e4b01ccd5500bb29","contributors":{"authors":[{"text":"Larsen, Laurel 0000-0001-7057-5377 lglarsen@usgs.gov","orcid":"https://orcid.org/0000-0001-7057-5377","contributorId":184196,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel","email":"lglarsen@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":673762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maglio, Morgan M. mmaglio@usgs.gov","contributorId":3991,"corporation":false,"usgs":true,"family":"Maglio","given":"Morgan","email":"mmaglio@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673764,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184222,"text":"70184222 - 2015 - Lapland longspur mortality at an oil well drilling rig site, Laramie County, Wyoming","interactions":[],"lastModifiedDate":"2018-09-04T15:50:20","indexId":"70184222","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Lapland longspur mortality at an oil well drilling rig site, Laramie County, Wyoming","docAbstract":"<p><span>Two hundred fifty-one Lapland longspur (</span><i>Calcarius lapponicus</i><span>) carcasses were recovered around an oil well drilling rig in Laramie County, Wyoming, USA, on December 13–14, 2010, apparent victims of a winter storm and “light entrapment” from the lights on the drilling rig during foggy conditions. We found Lapland longspur carcasses distributed around the drilling rig from 33 m to 171 m. Investigators did not find evidence of bird carcasses on the drilling rig deck or equipment immediately adjacent to the drilling rig. We ruled out chemical toxins and disease as a cause of mortality. Weather conditions, the circular depositional pattern of carcasses around the drilling rig, and bird necropsy results led investigators to conclude that the Lapland longspur mortality was the result of the migrating birds entering the area illuminated by the drilling rig lights in freezing fog and the birds repeatedly circling the drilling rig until they fell to the ground in exhaustion and dying from subsequent trauma. Further research is needed to understand how to most effectively adjust lighting of onshore drilling rigs to reduce the potential for avian light entrapment. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.495","usgsCitation":"Ramirez, P., Dickerson, K.K., Lindstrom, J., Meteyer, C.U., and Darrah, S., 2015, Lapland longspur mortality at an oil well drilling rig site, Laramie County, Wyoming: Wildlife Society Bulletin, v. 39, no. 1, p. 165-168, https://doi.org/10.1002/wsb.495.","productDescription":"4 p.","startPage":"165","endPage":"168","ipdsId":"IP-055019","costCenters":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":499884,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/071370fc3a124551bf09a5d0d8df6720","text":"External Repository"},{"id":336866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Laramie County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.6506,41.651],[-104.6491,41.5656],[-104.0521,41.5654],[-104.052,41.3949],[-104.0526,41.0236],[-104.0528,41.0017],[-104.1399,41.0019],[-104.4725,41.0027],[-104.4875,41.0027],[-104.5606,41.0028],[-104.5679,41.0028],[-104.6087,41.0046],[-104.6134,41.0048],[-104.6337,41.0056],[-104.6648,41.0047],[-104.6837,41.0041],[-104.7013,41.0035],[-104.83,40.9996],[-104.8341,40.9996],[-104.9385,40.9995],[-104.9425,40.9995],[-105.1109,40.9993],[-105.2763,40.9998],[-105.2774,41.6567],[-105.1706,41.6535],[-105.0575,41.6537],[-104.9419,41.6537],[-104.6506,41.651]]]},\"properties\":{\"name\":\"Laramie\",\"state\":\"WY\"}}]}","volume":"39","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-13","publicationStatus":"PW","scienceBaseUri":"58be833de4b014cc3a3a9a01","contributors":{"authors":[{"text":"Ramirez, Pedro Jr.","contributorId":99575,"corporation":false,"usgs":true,"family":"Ramirez","given":"Pedro","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":680783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickerson, Kimberly K.","contributorId":51824,"corporation":false,"usgs":true,"family":"Dickerson","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":680784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindstrom, Jim","contributorId":187538,"corporation":false,"usgs":false,"family":"Lindstrom","given":"Jim","email":"","affiliations":[],"preferred":false,"id":680785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":111,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":680609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Darrah, Scott","contributorId":187539,"corporation":false,"usgs":false,"family":"Darrah","given":"Scott","email":"","affiliations":[],"preferred":false,"id":680786,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196455,"text":"70196455 - 2015 - Real-time validation of the Dst Predictor model","interactions":[],"lastModifiedDate":"2019-07-10T14:00:14","indexId":"70196455","displayToPublicDate":"2015-02-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5677,"text":"Air Force Research Laboratory Technical Report ","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"AFRL-RV-PS-TR-2015-0073","title":"Real-time validation of the Dst Predictor model","docAbstract":"<p>The Dst Predictor model, which has been running real-time in the Space Weather Analysis and Forecast System (SWAFS), provides 1-hour and 4-hour forecasts of the Dst index. This is useful for awareness of impending geomagnetic activity, as well as driving other real-time models that use Dst as an input. In this report, we examine the performance of this forecast model in detail. When validating indices it should be noted that performance is only with respect to a reference index as they are derived quantities assumed to reﬂect a state of the magnetosphere that cannot be directly measured. In this case U.S. Geological Survey (USGS) Deﬁnitive Dst is the reference index (Section 3). Whether or not the model better reﬂects the actual activity level is nearly impossible to discern and is outside the scope of this report. We evaluate the performance of the model by computing continuous predictant skill scores against USGS Deﬁnitive Dst values as “observations” (Section 4.2). The two sets of data are not well-correlated for both 1-hour and 4-hour forecasts. The Dst Predictor Prediction Efﬁciency for both the 1- and 4-hour forecasts suggests poor performance versus the climatological mean. However, the skill score against a nowcast persistence model is positive, suggesting value added by the Dst Predictor model. We further examine statistics for storm times (Section 4.3) with similar results: nowcast persistence performs worse than Dst Predictor. &nbsp;Dst Predictor is superior to the nowcast persistence model for the metric used in this study. We recommend continued use of the DstPredictor model for 1-and4-hour Dst predictions along with active study of other Dst forecast models that do not rely on nowcast inputs (Section 6). The lack of certiﬁed requirements makes further recommendations difﬁcult. A study of how the error in Dst translates to error in models and a better understanding of operational needs for magnetic storm warning are needed to determine such requirements. Nowcast persistence is often hard to beat for short term forecasts and speciﬁcation and Dst Predictor clearly performs well against that standard (with 1-hour and 4-hour skill-scores of 0.233 and 0.485 respectively), although poor in absolute terms (with1-hourand4-hour prediction efﬁciencies of-64.6and-43.1, respectively).</p>","language":"English","publisher":"Air Force Research Laboratory","usgsCitation":"McCollough, J.P., Young, S.L., Rigler, E.J., and Simpson, H.A., 2015, Real-time validation of the Dst Predictor model: Air Force Research Laboratory Technical Report  AFRL-RV-PS-TR-2015-0073, iii, 9 p.","productDescription":"iii, 9 p.","numberOfPages":"12","ipdsId":"IP-063134","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":422,"text":"National Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":353266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebcfe4b0da30c1bfc686","contributors":{"authors":[{"text":"McCollough, James P.","contributorId":204030,"corporation":false,"usgs":false,"family":"McCollough","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":732972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Shawn L.","contributorId":204031,"corporation":false,"usgs":false,"family":"Young","given":"Shawn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":732973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":732974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simpson, Hal A.","contributorId":204032,"corporation":false,"usgs":false,"family":"Simpson","given":"Hal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":732975,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70142075,"text":"70142075 - 2015 - Mitigation effectiveness for improving nesting success of greater sage-grouse influenced by energy development","interactions":[],"lastModifiedDate":"2017-11-22T17:49:59","indexId":"70142075","displayToPublicDate":"2015-02-27T16:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Mitigation effectiveness for improving nesting success of greater sage-grouse influenced by energy development","docAbstract":"<p><span>Sagebrush&nbsp;</span><i>Artemisia</i><span>&nbsp;spp. habitats being developed for oil and gas reserves are inhabited by sagebrush obligate species &mdash; including the greater sage-grouse&nbsp;</span><i>Centrocercus urophasianus</i><span>&nbsp;(sage-grouse) that is currently being considered for protection under the U.S. Endangered Species Act. Numerous studies suggest increasing oil and gas development may exacerbate species extinction risks. Therefore, there is a great need for effective on-site mitigation to reduce impacts to co-occurring wildlife such as sage-grouse. Nesting success is a primary factor in avian productivity and declines in nesting success are also thought to be an important contributor to population declines in sage-grouse. From 2008 to 2011 we monitored 296 nests of radio-marked female sage-grouse in a natural gas (NG) field in the Powder River Basin, Wyoming, USA, and compared nest survival in mitigated and non-mitigated development areas and relatively unaltered areas to determine if specific mitigation practices were enhancing nest survival. Nest survival was highest in relatively unaltered habitats followed by mitigated, and then non-mitigated NG areas. Reservoirs used for holding NG discharge water had the greatest support as having a direct relationship to nest survival. Within a 5-km</span><sup>2</sup><span>&nbsp;area surrounding a nest, the probability of nest failure increased by about 15% for every 1.5 km increase in reservoir water edge. Reducing reservoirs was a mitigation focus and sage-grouse nesting in mitigated areas were exposed to almost half of the amount of water edge compared to those in non-mitigated areas. Further, we found that an increase in sagebrush cover was positively related to nest survival. Consequently, mitigation efforts focused on reducing reservoir construction and reducing surface disturbance, especially when the surface disturbance results in sagebrush removal, are important to enhancing sage-grouse nesting success.</span></p>","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00002","usgsCitation":"Kirol, C., Sutphin, A.L., Bond, L.S., Fuller, M.R., and Maechtle, T.L., 2015, Mitigation effectiveness for improving nesting success of greater sage-grouse influenced by energy development: Wildlife Biology, v. 21, no. 2, p. 98-109, https://doi.org/10.2981/wlb.00002.","productDescription":"12 p.","startPage":"98","endPage":"109","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054499","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472257,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.2981/wlb.00002","text":"External Repository"},{"id":298190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Johnson County, Sheridan County","otherGeospatial":"Powder River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.3583984375,\n              43.44893105587766\n            ],\n            [\n              -107.3583984375,\n              44.5826428195842\n            ],\n            [\n              -105.97412109375,\n              44.5826428195842\n            ],\n            [\n              -105.97412109375,\n              43.44893105587766\n            ],\n            [\n              -107.3583984375,\n              43.44893105587766\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f19543e4b02419550ceae6","contributors":{"authors":[{"text":"Kirol, Christopher P.","contributorId":49723,"corporation":false,"usgs":false,"family":"Kirol","given":"Christopher P.","affiliations":[{"id":12785,"text":"Big Horn Environmental Consultants","active":true,"usgs":false}],"preferred":false,"id":541609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutphin, Andrew L.","contributorId":139512,"corporation":false,"usgs":false,"family":"Sutphin","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":12785,"text":"Big Horn Environmental Consultants","active":true,"usgs":false}],"preferred":false,"id":541610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, Laura S.","contributorId":139513,"corporation":false,"usgs":false,"family":"Bond","given":"Laura","email":"","middleInitial":"S.","affiliations":[{"id":12786,"text":"Biomolecular Research Center, Boise State University","active":true,"usgs":false}],"preferred":false,"id":541611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":541608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maechtle, Thomas L.","contributorId":139514,"corporation":false,"usgs":false,"family":"Maechtle","given":"Thomas","email":"","middleInitial":"L.","affiliations":[{"id":12785,"text":"Big Horn Environmental Consultants","active":true,"usgs":false}],"preferred":false,"id":541612,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70059069,"text":"70059069 - 2015 - Onset of rejuvenated-stage volcanism and the formation of Līhu‘e Basin: Kaua‘i events that occurred 3-4 million years ago","interactions":[],"lastModifiedDate":"2022-12-29T16:06:11.524963","indexId":"70059069","displayToPublicDate":"2015-02-27T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"6","title":"Onset of rejuvenated-stage volcanism and the formation of Līhu‘e Basin: Kaua‘i events that occurred 3-4 million years ago","docAbstract":"<p>For ocean-island volcanoes, an understanding of rejuvenated-stage volcanism requires knowing the age of onset, duration of the volcanic episode, and length of quiescence that preceded the rejuvenated pulse. On the Island of Kaua‘i, cuttings from two lava flows intercepted in the Hanamā‘ulu well (Līhu‘e basin) and assigned to the Kōloa Volcanics on basis of major-element, trace-element, and isotope geochemistry have yielded<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar ages of 3.11 and 3.22 Ma. A deeper lava, with age 3.42 Ma, is tentatively assigned to the Kōloa. These ages partly fill a 1 Myr gap in the previously published ages for the Kōloa Volcanics and suggest that rejuvenated-stage volcanism on Kaua‘i has persisted for 3.2 Myr or longer. The quiescent period may have been as short as 0.2–0.3 Myr, possibly briefer.</p><p>The eastern third of Kaua‘i subsided as much as 1.3 km along an island-long north-south fault between 4.7 and 3.4 Myr ago. The fault marks a stunted episode of extension, inasmuch as displacement diminishes rapidly from the inland area north and south toward the coast and the fault lacks expression on the island's submarine flanks. The Līhu‘e basin formed sometime thereafter: The new ages are from lava flows that bracket shallow marine sediment, so the basin had subsided below sea level before 3 Ma. Though poorly constrained, rates of subsidence are in the range of those from Lāna‘i, which today sits at a distance from the hotspot that is similar to the paleogeographic position of Kaua‘i 3 Ma.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union; John Wiley & Sons","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch6","usgsCitation":"Sherrod, D.R., Izuka, S.K., and Cousens, B., 2015, Onset of rejuvenated-stage volcanism and the formation of Līhu‘e Basin: Kaua‘i events that occurred 3-4 million years ago, chap. 6 <i>of</i> Hawaiian volcanoes: From source to surface: Geophysical Monograph, v. 208, p. 105-124, https://doi.org/10.1002/9781118872079.ch6.","productDescription":"20 p.","startPage":"105","endPage":"124","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044896","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":311314,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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              -161.092529296875,\n              18.594188856740413\n            ],\n            [\n              -161.092529296875,\n              22.88756221517449\n            ],\n            [\n              -154.412841796875,\n              22.88756221517449\n            ],\n            [\n              -154.412841796875,\n              18.594188856740413\n            ],\n            [\n              -161.092529296875,\n              18.594188856740413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"208","noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"564717d1e4b0e2669b313121","contributors":{"editors":[{"text":"Carey, Rebecca","contributorId":121557,"corporation":false,"usgs":true,"family":"Carey","given":"Rebecca","affiliations":[],"preferred":false,"id":692121,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cayol, Valerie","contributorId":121509,"corporation":false,"usgs":false,"family":"Cayol","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":692122,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":692123,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Weis, Dominique","contributorId":121531,"corporation":false,"usgs":true,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":692124,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":518424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cousens, Brian L.","contributorId":84038,"corporation":false,"usgs":true,"family":"Cousens","given":"Brian L.","affiliations":[],"preferred":false,"id":518426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70142063,"text":"ofr20151019 - 2015 - Obtaining valid geologic models from 3-D resistivity inversion of magnetotelluric data at Pahute Mesa, Nevada","interactions":[],"lastModifiedDate":"2015-02-27T13:07:46","indexId":"ofr20151019","displayToPublicDate":"2015-02-27T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1019","title":"Obtaining valid geologic models from 3-D resistivity inversion of magnetotelluric data at Pahute Mesa, Nevada","docAbstract":"<p>We summarize the results of a three-dimensional (3-D) resistivity inversion simulation that we conducted with the intent of characterizing the subsurface 3-D distribution of volcanic composite units of Pahute Mesa, Nevada, without any a priori information on the actual 3-D distribution of the known subsurface geology. The 3-D methodology involved using a 3-D geologic model based on drillhole data and average electrical resistivities of the key hydrostratigraphic units at Pahute Mesa to create a 3-D resistivity forward (&ldquo;known&rdquo;) model that depicted the subsurface resistivity structure expected for the input geologic configuration. The calculated magnetotelluric response of the modeled resistivity structure was then assumed to represent observed magnetotelluric data and was used as input into a 3-D resistivity inverse model that was allowed to iteratively estimate in 3-D without any a priori geologic information, in particular, the thickness and resistivity of the volcanic composite units. The resulting 3-D resistivity inversion simulation was compared to the &ldquo;known&rdquo; model and the results evaluated.</p>\n<p>The 3-D inversion was generally able to reproduce the gross resistivity structure of the &ldquo;known&rdquo; model, but the simulated conductive volcanic composite unit horizons were often too shallow when compared to the &ldquo;known&rdquo; model. Additionally, the chosen computation parameters such as station spacing appear to have resulted in computational artifacts that are difficult to interpret but could potentially be removed with further refinements of the 3-D resistivity inversion modeling technique.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151019","usgsCitation":"Rodriguez, B.D., and Sweetkind, D., 2015, Obtaining valid geologic models from 3-D resistivity inversion of magnetotelluric data at Pahute Mesa, Nevada: U.S. Geological Survey Open-File Report 2015-1019, iv, 104 p., https://doi.org/10.3133/ofr20151019.","productDescription":"iv, 104 p.","numberOfPages":"108","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051924","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":298187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151019.jpg"},{"id":298185,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1019/"},{"id":298186,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1019/pdf/ofr2015-1019.pdf","text":"Report","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"datum":"North American 1983 Continental United States (CONUS) datum","country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.51687622070314,\n              37.22103367911787\n            ],\n            [\n              -116.51687622070314,\n              37.33795407160059\n            ],\n            [\n              -116.3733673095703,\n              37.33795407160059\n            ],\n            [\n              -116.3733673095703,\n              37.22103367911787\n            ],\n            [\n              -116.51687622070314,\n              37.22103367911787\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f19545e4b02419550ceaee","contributors":{"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":541601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S. dsweetkind@usgs.gov","contributorId":130958,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","email":"dsweetkind@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":541602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70143049,"text":"70143049 - 2015 - Using a laboratory-based growth model to estimate mass- and temperature-dependent growth parameters across populations of juvenile Chinook Salmon","interactions":[],"lastModifiedDate":"2015-03-17T11:02:13","indexId":"70143049","displayToPublicDate":"2015-02-27T12:15:00","publicationYear":"2015","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":"Using a laboratory-based growth model to estimate mass- and temperature-dependent growth parameters across populations of juvenile Chinook Salmon","docAbstract":"<p>To estimate the parameters that govern mass- and temperature-dependent growth, we conducted a meta-analysis of existing growth data from juvenile Chinook Salmon <i>Oncorhynchus tshawytscha</i> that were fed an ad libitum ration of a pelleted diet. Although the growth of juvenile Chinook Salmon has been well studied, research has focused on a single population, a narrow range of fish sizes, or a narrow range of temperatures. Therefore, we incorporated the Ratkowsky model for temperature-dependent growth into an allometric growth model; this model was then fitted to growth data from 11 data sources representing nine populations of juvenile Chinook Salmon. The model fit the growth data well, explaining 98% of the variation in final mass. The estimated allometric mass exponent (b) was 0.338 (SE = 0.025), similar to estimates reported for other salmonids. This estimate of b will be particularly useful for estimating mass-standardized growth rates of juvenile Chinook Salmon. In addition, the lower thermal limit, optimal temperature, and upper thermal limit for growth were estimated to be 1.8&deg;C (SE = 0.63&deg;C), 19.0&deg;C (SE = 0.27&deg;C), and 24.9&deg;C (SE = 0.02&deg;C), respectively. By taking a meta-analytical approach, we were able to provide a growth model that is applicable across populations of juvenile Chinook Salmon receiving an ad libitum ration of a pelleted diet.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2014.996667","usgsCitation":"Perry, R.W., Plumb, J.M., and Huntington, C., 2015, Using a laboratory-based growth model to estimate mass- and temperature-dependent growth parameters across populations of juvenile Chinook Salmon: Transactions of the American Fisheries Society, v. 144, no. 2, p. 331-336, https://doi.org/10.1080/00028487.2014.996667.","productDescription":"6 p.","startPage":"331","endPage":"336","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053357","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":472258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2014.996667","text":"Publisher Index Page"},{"id":298618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298587,"type":{"id":15,"text":"Index Page"},"url":"https://afs.tandfonline.com/doi/full/10.1080/00028487.2014.996667#.VQdH9cIRC70"}],"volume":"144","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"55095034e4b02e76d757e637","contributors":{"authors":[{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":542446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":542447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntington, Charles","contributorId":139682,"corporation":false,"usgs":false,"family":"Huntington","given":"Charles","email":"","affiliations":[{"id":12878,"text":"Clearwater BioStudies, Inc., 1160 Old Ferry Rd., Shady Cove, OR  95616","active":true,"usgs":false}],"preferred":false,"id":542448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70142056,"text":"70142056 - 2015 - Experimental susceptibility of Wood Ducks (<i>Aix sponsa</i>) for West Nile virus","interactions":[],"lastModifiedDate":"2015-04-17T13:11:43","indexId":"70142056","displayToPublicDate":"2015-02-27T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Experimental susceptibility of Wood Ducks (<i>Aix sponsa</i>) for West Nile virus","docAbstract":"<p><span>Detection of West Nile virus (WNV) has been reported in a variety of wild ducks in the US, but little is known about the pathogenesis and outcome of exposure of the disease in these species. Previous experimental studies of WNV in ducks either have challenged a small number of ducks with WNV or have tested domesticated ducks. To determine susceptibility and immune response, we challenged 7-wk-old Wood Ducks (</span><i>Aix sponsa</i><span>) with a 1999 American Crow (</span><i>Corvus brachyrhynchos</i><span>) isolate of WNV. Wood Ducks were susceptible to infection with the virus, and, although clinical signs or mortality were not observed, microscopic lesions were noted, particularly in the heart and brain. West Nile virus viremia peaked on day 2 postinfection (pi) at 10</span><sup>4.54</sup><span>&nbsp;plaque-forming units (PFU) of virus/mL serum and WNV was shed orally (between 10</span><sup>2</sup><span>and 10</span><sup>2.9</sup><span>&nbsp;PFU per swab) and cloacally. Specific anti-WNV antibody response was rapid, with anti-WNV IgM detected on day 3&nbsp;pi followed on day 5&nbsp;pi by anti-WNV IgG. Neutralizing antibodies were detected by plaque-reduction neutralization assay in one duck on day 4&nbsp;pi, and in all sampled ducks on day 5. These results indicate that Wood Ducks are susceptible to WNV, but it is unlikely that significant WNV mortality events occur in Wood Ducks or that ducks play a significant role in transmission. However, WNV viremia was sufficient, in theory, to infect mosquitoes, and oral and cloacal shedding of the virus may increase the risk of infection to other waterbirds.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2014-08-216","usgsCitation":"Hofmeister, E.K., Porter, R.E., and Franson, J., 2015, Experimental susceptibility of Wood Ducks (<i>Aix sponsa</i>) for West Nile virus: Journal of Wildlife Diseases, v. 51, no. 2, p. 411-418, https://doi.org/10.7589/2014-08-216.","productDescription":"8 p.","startPage":"411","endPage":"418","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059588","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":298181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f19538e4b02419550ceac1","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":541591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Porter, Robert E.","contributorId":139511,"corporation":false,"usgs":false,"family":"Porter","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":12784,"text":"University of Minnesota College of Veterinary Medicine, 1352 Boyd Ave, St Paul, MN 55108,","active":true,"usgs":false}],"preferred":false,"id":541592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franson, J. Christian 0000-0002-0251-4238 jfranson@usgs.gov","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":2157,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","email":"jfranson@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541593,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70142046,"text":"70142046 - 2015 - Age at vaccination may influence response to sylvatic plague vaccine (SPV) in Gunnison’s prairie dogs (<i>Cynomys gunnisoni</i>)","interactions":[],"lastModifiedDate":"2018-01-02T15:03:57","indexId":"70142046","displayToPublicDate":"2015-02-27T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Age at vaccination may influence response to sylvatic plague vaccine (SPV) in Gunnison’s prairie dogs (<i>Cynomys gunnisoni</i>)","docAbstract":"<p><span>Gunnison&rsquo;s prairie dogs (</span><i>Cynomys gunnisoni</i><span>) have been considered at greater risk from&nbsp;</span><i>Yersinia pestis</i><span>&nbsp;(plague) infection in the montane portion of their range compared to populations at lower elevations, possibly due to factors related to flea transmission of the bacteria or greater host susceptibility. To test the latter hypothesis and determine whether vaccination against plague with an oral sylvatic plague vaccine (SPV) improved survival, we captured prairie dogs from a&nbsp;</span><i>C. g. gunnisoni</i><span>&nbsp;or &ldquo;montane&rdquo; population and a&nbsp;</span><i>C. g. zuniensis</i><span>&nbsp;or &ldquo;prairie&rdquo; population for vaccine efficacy and challenge studies. No differences (</span><i>P</i><span>&nbsp;=&nbsp;0.63) were found in plague susceptibility in non-vaccinated animals between these two populations; however, vaccinates from the prairie population survived plague challenge at significantly higher rates (</span><i>P</i><span>&nbsp;&lt;&nbsp;0.01) than those from the montane population. Upon further analysis, we determined that response to immunization was most likely associated with differences in age, as the prairie group was much younger on average than the montane group. Vaccinates that were juveniles or young adults survived plague challenge at a much higher rate than adults (</span><i>P</i><span>&nbsp;&lt;&nbsp;0.01 and&nbsp;</span><i>P</i><span>&nbsp;=&nbsp;0.02, respectively), but no difference (</span><i>P</i><span>&nbsp;=&nbsp;0.83) was detected in survival rates between control animals of different ages. These results suggest that host susceptibility is probably not related to the assumed greater risk from plague in the&nbsp;</span><i>C. g. gunnisoni </i><span>or &ldquo;montane&rdquo; populations of Gunnison&rsquo;s prairie dogs, and that SPV could be a useful plague management tool for this species, particularly if targeted at younger cohorts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10393-014-1002-3","usgsCitation":"Rocke, T.E., Tripp, D.W., Lorenzsonn, F., Falendysz, E.A., Smith, S., Williamson, J.L., and Abbott, R.C., 2015, Age at vaccination may influence response to sylvatic plague vaccine (SPV) in Gunnison’s prairie dogs (<i>Cynomys gunnisoni</i>): EcoHealth, v. 12, no. 2, p. 278-287, https://doi.org/10.1007/s10393-014-1002-3.","productDescription":"10 p.","startPage":"278","endPage":"287","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060790","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":298179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Buena Vista, Mancos","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.21994018554688,\n              38.89423942194029\n            ],\n            [\n              -106.07025146484375,\n              38.90813299596705\n            ],\n            [\n              -106.03042602539062,\n              38.78299298997704\n            ],\n            [\n              -106.20758056640625,\n              38.78085193143006\n            ],\n            [\n              -106.21994018554688,\n              38.89423942194029\n            ]\n          ]\n        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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-15","publicationStatus":"PW","scienceBaseUri":"54f1952ae4b02419550ceaa2","contributors":{"authors":[{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":541560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tripp, Daniel W.","contributorId":17910,"corporation":false,"usgs":false,"family":"Tripp","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":13449,"text":"Colorado Division of Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":541561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenzsonn, Faye","contributorId":139496,"corporation":false,"usgs":true,"family":"Lorenzsonn","given":"Faye","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falendysz, Elizabeth A. 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127735,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Susan 0000-0001-6478-5028 susansmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6478-5028","contributorId":139497,"corporation":false,"usgs":true,"family":"Smith","given":"Susan","email":"susansmith@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williamson, Judy L. 0000-0001-7110-1632 jwilliamson@usgs.gov","orcid":"https://orcid.org/0000-0001-7110-1632","contributorId":3647,"corporation":false,"usgs":true,"family":"Williamson","given":"Judy","email":"jwilliamson@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":541565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health 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,{"id":70154855,"text":"70154855 - 2015 - Are endocrine and reproductive biomarkers altered in contaminant-exposed wild male Largemouth Bass (Micropterus salmoides) of Lake Mead, Nevada/Arizona, USA?","interactions":[],"lastModifiedDate":"2015-07-17T12:55:59","indexId":"70154855","displayToPublicDate":"2015-02-27T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Are endocrine and reproductive biomarkers altered in contaminant-exposed wild male Largemouth Bass (Micropterus salmoides) of Lake Mead, Nevada/Arizona, USA?","docAbstract":"<p>Male Largemouth Bass were sampled from two locations in Lake Mead (USA), a site influenced by treated municipal wastewater effluent and urban runoff (Las Vegas Bay), and a reference site (Overton Arm). Samples were collected in summer (July '07) and spring (March '08) to assess general health, endocrine and reproductive biomarkers, and compare contaminant body burdens by analyzing 252 organic chemicals. Sperm count and motility were measured in spring. Contaminants were detected at much higher frequencies and concentrations in fish from Las Vegas Bay than Overton Arm. Those with the highest concentrations included PCBs, DDTs, PBDEs, galaxolide, and methyl triclosan. Fish from Las Vegas Bay also had higher Fulton condition factor, hepatosomatic index, and hematocrit, and lower plasma 11-ketotestosterone concentration (KT). Gonadosomatic index (GSI) and sperm motility did not differ between sites, but sperm count was lower by nearly 50% in fish from Las Vegas Bay. A positive association between KT and GSI was identified, but this association was nonlinear. On average, maximal GSI was reached at sub-maximal KT concentrations. In conclusion, the higher concentration of contaminant body burdens coupled with reduced levels of KT and sperm count in fish from Las Vegas Bay suggest that male reproductive condition was influenced by contaminant exposures. Also, the nonlinear KT-GSI association provided a framework to understand why GSI was similar between male bass from both sites despite their large difference in KT, and also suggested the existence of post-gonadal growth functions of KT at high concentrations.</p>","language":"English","publisher":"Academic Press","publisherLocation":"New York, NY","doi":"10.1016/j.ygcen.2015.02.015","usgsCitation":"Goodbred, S.L., Patino, R., Torres, L., Echols, K.R., Jenkins, J.A., Rosen, M.R., and Orsak, E., 2015, Are endocrine and reproductive biomarkers altered in contaminant-exposed wild male Largemouth Bass (Micropterus salmoides) of Lake Mead, Nevada/Arizona, USA?: General and Comparative Endocrinology, v. 219, p. 125-135, https://doi.org/10.1016/j.ygcen.2015.02.015.","productDescription":"11 p.","startPage":"125","endPage":"135","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059171","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.42398071289062,\n              36.49749349301181\n            ],\n            [\n              -114.37591552734374,\n              36.43233216371692\n            ],\n            [\n              -114.41986083984375,\n              36.398072913107896\n            ],\n            [\n              -114.41024780273438,\n              36.37706783983682\n            ],\n            [\n              -114.44732666015625,\n              36.352739087358735\n            ],\n            [\n       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sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":564270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres, Leticia","contributorId":143738,"corporation":false,"usgs":false,"family":"Torres","given":"Leticia","email":"","affiliations":[],"preferred":false,"id":564271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":564272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":564273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orsak, Erik","contributorId":92763,"corporation":false,"usgs":true,"family":"Orsak","given":"Erik","affiliations":[],"preferred":false,"id":564275,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70173406,"text":"70173406 - 2015 - Climate change implications in the northern coastal temperate rainforest of North America","interactions":[],"lastModifiedDate":"2016-06-20T21:21:47","indexId":"70173406","displayToPublicDate":"2015-02-27T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"Climate change implications in the northern coastal temperate rainforest of North America","docAbstract":"<p class=\"p1\"><span class=\"s1\">We synthesized an expert review of climate change implications for hydroecological and terrestrial ecological systems in the northern coastal temperate rainforest of North America. Our synthesis is based on an analysis of projected temperature, precipitation, and snowfall stratified by eight biogeoclimatic provinces and three vegetation zones. Five IPCC CMIP5 global climate models (GCMs) and two representative concentration pathways (RCPs) are the basis for projections of mean annual temperature increasing from a current average (1961&ndash;1990) of 3.2&nbsp;&deg;C to 4.9&ndash;6.9&nbsp;&deg;C (5 GCM range; RCP4.5 scenario) or 6.4&ndash;8.7&nbsp;&deg;C (RCP8.5), mean annual precipitation increasing from 3130&nbsp;mm to 3210&ndash;3400&nbsp;mm (3&ndash;9&nbsp;% increase) or 3320&ndash;3690&nbsp;mm (6&ndash;18&nbsp;% increase), and total precipitation as snow decreasing from 1200&nbsp;mm to 940&ndash;720&nbsp;mm (22&ndash;40&nbsp;% decrease) or 720&ndash;500&nbsp;mm (40&ndash;58&nbsp;% decrease) by the 2080s (2071&ndash;2100; 30-year normal period). These projected changes are anticipated to result in a cascade of ecosystem-level effects including: increased frequency of flooding and rain-on-snow events; an elevated snowline and reduced snowpack; changes in the timing and magnitude of stream flow, freshwater thermal regimes, and riverine nutrient exports; shrinking alpine habitats; altitudinal and latitudinal expansion of lowland and subalpine forest types; shifts&nbsp;in suitable habitat boundaries for vegetation and wildlife communities; adverse effects on species with rare ecological niches or limited dispersibility; and shifts in anadromous salmon distribution and productivity. Our collaborative synthesis of potential impacts highlights the coupling of social and ecological systems that characterize the region as well as a number of major information gaps to help guide assessments of future conditions and adaptive capacity.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10584-015-1355-9","usgsCitation":"Shanley, C.S., Pyare, S., Goldstein, M.I., Alaback, P.B., Albert, D.M., Beier, C.M., Brinkman, T.J., Edwards, R.T., Hood, E., MacKinnon, A., McPhee, M.V., Patterson, T., Suring, L.H., Tallmon, D., and Wipfli, M.S., 2015, Climate change implications in the northern coastal temperate rainforest of North America: Climate Change, v. 130, no. 2, p. 155-170, https://doi.org/10.1007/s10584-015-1355-9.","productDescription":"16 p.","startPage":"155","endPage":"170","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052732","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-015-1355-9","text":"Publisher Index Page"},{"id":324056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -140,\n              50\n            ],\n            [\n              -140,\n              61\n            ],\n            [\n              -125,\n              61\n            ],\n            [\n              -125,\n              50\n            ],\n            [\n              -140,\n              50\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"130","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"576913b3e4b07657d19fefd3","contributors":{"authors":[{"text":"Shanley, Colin S.","contributorId":172216,"corporation":false,"usgs":false,"family":"Shanley","given":"Colin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":639962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pyare, Sanjay","contributorId":47135,"corporation":false,"usgs":true,"family":"Pyare","given":"Sanjay","email":"","affiliations":[],"preferred":false,"id":639963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Michael I.","contributorId":94641,"corporation":false,"usgs":true,"family":"Goldstein","given":"Michael","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":639964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alaback, Paul B.","contributorId":172217,"corporation":false,"usgs":false,"family":"Alaback","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":639965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albert, David M.","contributorId":172218,"corporation":false,"usgs":false,"family":"Albert","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beier, Colin M.","contributorId":17107,"corporation":false,"usgs":true,"family":"Beier","given":"Colin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brinkman, Todd J.","contributorId":39696,"corporation":false,"usgs":true,"family":"Brinkman","given":"Todd","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":639968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, Rick T.","contributorId":172219,"corporation":false,"usgs":false,"family":"Edwards","given":"Rick","email":"","middleInitial":"T.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":639969,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":639970,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"MacKinnon, Andy","contributorId":172221,"corporation":false,"usgs":false,"family":"MacKinnon","given":"Andy","email":"","affiliations":[],"preferred":false,"id":639971,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McPhee, Megan V.","contributorId":149335,"corporation":false,"usgs":false,"family":"McPhee","given":"Megan","email":"","middleInitial":"V.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":639972,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Patterson, Trista","contributorId":34763,"corporation":false,"usgs":true,"family":"Patterson","given":"Trista","email":"","affiliations":[],"preferred":false,"id":639973,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Suring, Lowell H.","contributorId":172223,"corporation":false,"usgs":false,"family":"Suring","given":"Lowell","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":639974,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tallmon, David","contributorId":145920,"corporation":false,"usgs":false,"family":"Tallmon","given":"David","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":639975,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637090,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70169249,"text":"70169249 - 2015 - On theory in ecology: Another perspective","interactions":[],"lastModifiedDate":"2016-03-24T09:39:45","indexId":"70169249","displayToPublicDate":"2015-02-27T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"On theory in ecology: Another perspective","docAbstract":"<p><span>We agree with Marquet and colleagues (</span><a id=\"xref-ref-1-1\" class=\"xref-bibr\" href=\"http://bioscience.oxfordjournals.org/content/65/4/341.2.full#ref-1\">2014</a><span>) that the balance between theory and data is an important one. However, their description of what constitutes good theory in ecology ignores the most important characteristic of successful theory&mdash;that it accurately and precisely describes the way the world works.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BioScience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Institute of Biological Sciences","publisherLocation":"Washington D.C.","doi":"10.1093/biosci/biv014","usgsCitation":"Houlahan, J.E., McKinney, S.T., and Rochette, R., 2015, On theory in ecology: Another perspective: BioScience, v. 65, no. 4, p. 341-342, https://doi.org/10.1093/biosci/biv014.","productDescription":"2 p.","startPage":"341","endPage":"342","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062112","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-28","publicationStatus":"PW","scienceBaseUri":"56f50fcce4b0f59b85e1eb75","contributors":{"authors":[{"text":"Houlahan, Jeff E.","contributorId":167786,"corporation":false,"usgs":false,"family":"Houlahan","given":"Jeff","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":623508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":623390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rochette, Remy","contributorId":167787,"corporation":false,"usgs":false,"family":"Rochette","given":"Remy","email":"","affiliations":[],"preferred":false,"id":623509,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70129565,"text":"fs20143102 - 2015 - Water resources of St. John the Baptist Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-02-27T09:10:49","indexId":"fs20143102","displayToPublicDate":"2015-02-27T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3102","title":"Water resources of St. John the Baptist Parish, Louisiana","docAbstract":"<p><span>Information concerning the availability, use, and quality of water in St. John the Baptist Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey&rsquo;s National Water Information System (</span>http://waterdata.usgs.gov/nwis<span>) are the primary sources of the information presented here.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143102","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., Prakken, L.B., and Fendick, R., 2015, Water resources of St. John the Baptist Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3102, 6 p., https://doi.org/10.3133/fs20143102.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057860","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":298176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143102.jpg"},{"id":298174,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3102/"},{"id":298175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3102/pdf/fs2014-3102.pdf","text":"Report","size":"10.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"St. John the Baptist Parish","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.68252563476561,\n              29.88411360077131\n            ],\n            [\n              -90.68252563476561,\n              30.30294635121175\n            ],\n            [\n              -90.20118713378906,\n              30.30294635121175\n            ],\n            [\n              -90.20118713378906,\n              29.88411360077131\n            ],\n            [\n              -90.68252563476561,\n              29.88411360077131\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f1954de4b02419550ceb0a","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":2319,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence","email":"lprakken@usgs.gov","middleInitial":"B.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541590,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155947,"text":"70155947 - 2015 - Developing a new, passive diffusion sampling array to detect helium anomalies associated with volcanic unrest","interactions":[],"lastModifiedDate":"2016-06-15T16:03:24","indexId":"70155947","displayToPublicDate":"2015-02-27T01:00:00","publicationYear":"2015","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":"Developing a new, passive diffusion sampling array to detect helium anomalies associated with volcanic unrest","docAbstract":"<p>Helium (He) concentration and 3 He/ 4 He anomalies in soil gas and spring water are potentially powerful tools for investigating hydrothermal circulation associated with volca- nism and could perhaps serve as part of a hazards warning system. However, in operational practice, He and other gases are often sampled only after volcanic unrest is detected by other means. A new passive diffusion sampler suite, intended to be collected after the onset of unrest, has been developed and tested as a relatively low-cost method of determining He- isotope composition pre- and post-unrest. The samplers, each with a distinct equilibration time, passively record He concen- tration and isotope ratio in springs and soil gas. Once collected and analyzed, the He concentrations in the samplers are used to deconvolve the time history of the He concentration and the 3 He/ 4 He ratio at the collection site. The current suite consisting of three samplers is sufficient to deconvolve both the magnitude and the timing of a step change in in situ con- centration if the suite is collected within 100 h of the change. The effects of temperature and prolonged deployment on the suite &rsquo; s capability of recording He anomalies have also been evaluated. The suite has captured a significant 3 He/ 4 He soil gas anomaly at Horseshoe Lake near Mammoth Lakes, California. The passive diffusion sampler suite appears to be an accurate and affordable alternative for determining He anomalies associated with volcanic unrest.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-015-0912-4","usgsCitation":"Dame, B.E., Solomon, D., Evans, W.C., and Ingebritsen, S.E., 2015, Developing a new, passive diffusion sampling array to detect helium anomalies associated with volcanic unrest: Bulletin of Volcanology, v. 77, no. 3, Article 23; 17 p., https://doi.org/10.1007/s00445-015-0912-4.","productDescription":"Article 23; 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061969","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":306885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"55d4572de4b0518e354694b1","contributors":{"authors":[{"text":"Dame, Brittany E","contributorId":146289,"corporation":false,"usgs":false,"family":"Dame","given":"Brittany","email":"","middleInitial":"E","affiliations":[{"id":7215,"text":"University of Utah Dept. of Geography","active":true,"usgs":false}],"preferred":false,"id":567313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, D Kip","contributorId":146290,"corporation":false,"usgs":false,"family":"Solomon","given":"D Kip","affiliations":[{"id":7215,"text":"University of Utah Dept. of Geography","active":true,"usgs":false}],"preferred":false,"id":567314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":567315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":567312,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70142547,"text":"70142547 - 2015 - Landslide modeling and forecasting—recent progress by the u.s. geological survey","interactions":[],"lastModifiedDate":"2015-10-19T15:08:19","indexId":"70142547","displayToPublicDate":"2015-02-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Landslide modeling and forecasting—recent progress by the u.s. geological survey","docAbstract":"<p>Landslide studies by the U.S. Geological Survey (USGS) are focused on two main objectives: scientific understanding and forecasting. The first objective is to gain better understanding of the physical processes involved in landslide initiation and movement. This objective is largely in support of the second objective, to develop predictive capabilities to answer the main hazard questions. Answers to the following six questions are needed to characterize the hazard from landslides: (1) Where will landslides occur? (2) What kind(s) of landslides will occur? (3) When will landslides occur? (4) How big will the landslides be? (5) How fast will the landslides travel? (6) How far will the landslides go? Although these questions are sometimes recast in different terms, such as frequency or recurrence rather than timing (when), the questions or their variants address the spatial, physical, and temporal aspects of landslide hazards. Efforts to develop modeling and forecasting capabilities by the USGS are primarily focused on specific landslide types that pose a high degree of hazard and show relatively high potential for predictability.</p>","largerWorkTitle":"Proceedings of Time to Face the Landslide Hazard Dilemma—Bridging Science, Policy, Public Safety, and Potential Loss","conferenceTitle":"Time to Face the Landslide Hazard Dilemma—Bridging Science, Policy, Public Safety, and Potential Loss","conferenceDate":"February 26-27, 2015","conferenceLocation":"Seattle, Washington","language":"English","publisher":"Association of Environmental and Engineering Geologists","usgsCitation":"Baum, R.L., and Kean, J.W., 2015, Landslide modeling and forecasting—recent progress by the u.s. geological survey, <i>in</i> Proceedings of Time to Face the Landslide Hazard Dilemma—Bridging Science, Policy, Public Safety, and Potential Loss, Seattle, Washington, February 26-27, 2015, p. 57-64.","productDescription":"8 p.","startPage":"57","endPage":"64","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062927","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":310075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298335,"type":{"id":15,"text":"Index Page"},"url":"https://www.aegweb.org/docs/default-source/events/aeg-ls-forum-program-abstracts.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56261475e4b0fb9a11dd7638","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":541950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":541951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70144543,"text":"70144543 - 2015 - Crustal stress and structure at Kīlauea Volcano inferred from seismic anisotropy","interactions":[],"lastModifiedDate":"2022-12-06T23:51:28.560538","indexId":"70144543","displayToPublicDate":"2015-02-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"12","title":"Crustal stress and structure at Kīlauea Volcano inferred from seismic anisotropy","docAbstract":"<p><span>Seismic anisotropy, measured through shear wave splitting (SWS) analysis, can be indicative of the state of stress in Earth's crust. Changes in SWS at Kīlauea Volcano, Hawai‘i, associated with the onset of summit eruptive activity in 2008 hint at the potential of the technique for tracking volcanic activity. To use SWS observations as a monitoring tool, however, it is important to understand the cause of seismic anisotropy at the volcano throughout the eruptive cycle. To address this need, we analyzed SWS results from across Kīlauea in combination with macroscopic surface structures (mapped fractures, faults, and fissures) and stress orientations inferred from fault plane solutions. Seismic anisotropy seems to be due to pervasive aligned structures in most regions of the volcano. The upper East and Southwest Rift Zones, however, show a bimodality in stress and SWS, suggesting a stress discontinuity with depth, perhaps related to magma conduits that trend obliquely to the dominant structure. Other areas in and around Kīlauea Caldera display principal stresses of similar magnitudes, indicating that small stress perturbations can rotate the maximum horizontal compressive stress direction by up to 90</span><sup>°</sup><span>. In these locations, static structures generally control SWS, but dynamic conditions due to magmatic activity can override the structural control. Monitoring of SWS may therefore provide important signs of impending volcanism.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union; John Wiley & Sons","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch12","usgsCitation":"Johnson, J.H., Swanson, D., Roman, D., Poland, M.P., and Thelen, W.A., 2015, Crustal stress and structure at Kīlauea Volcano inferred from seismic anisotropy, chap. 12 <i>of</i> Hawaiian volcanoes: From source to surface: Geophysical Monograph, v. 208, p. 251-268, https://doi.org/10.1002/9781118872079.ch12.","productDescription":"18 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,{"id":70144542,"text":"70144542 - 2015 - Are Piton de la Fournaise (La Réunion) and Kīlauea (Hawai‘i) really “Analog Volcanoes”?","interactions":[],"lastModifiedDate":"2019-12-11T07:06:57","indexId":"70144542","displayToPublicDate":"2015-02-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"23","title":"Are Piton de la Fournaise (La Réunion) and Kīlauea (Hawai‘i) really “Analog Volcanoes”?","docAbstract":"<p>The basaltic ocean island volcanoes of Kīlauea (Island of Hawai&lsquo;i) and Piton de la Fournaise (La R&eacute;union Island) are remarkable natural laboratories for volcanology. Both are near the active ends of long hotspot chains and host frequent eruptive activity (both effusive and explosive). Investigations of the geophysical, geochemical, and geologic manifestations of volcanism at the two locales provide insights into a variety of processes, from the supply of magma to its eruption at the surface. The oft-stated claim that Kīlauea and Piton de la Fournaise are &ldquo;analog volcanoes&rdquo; appears well founded, at least in part. The two volcanoes share similar characteristics with regard to magma plumbing, occurrence of flank instability, structural and compositional evolution, and eruptive activity. Noteworthy differences include the size of the edifices (Kīlauea is about an order-of-magnitude larger in volume), their life spans (Piton de la Fournaise has been active for twice as long), and flank instability mechanisms. These differences are attributable to Hawai&lsquo;i's higher magma supply from and faster plate velocity relative to the hotspot compared to Piton de la Fournaise. Understanding these similarities and differences can be used to leverage studies of processes at one volcano by exploiting their occurrence or absence at the other.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch23","isbn":"978-1-118-87204-8","usgsCitation":"Poland, M.P., Peltier, A., and Staudacher, T., 2015, Are Piton de la Fournaise (La Réunion) and Kīlauea (Hawai‘i) really “Analog Volcanoes”?, chap. 23 <i>of</i> Hawaiian volcanoes: From source to surface: Geophysical Monograph, v. 208, p. 507-531, https://doi.org/10.1002/9781118872079.ch23.","productDescription":"25 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Aline","contributorId":149410,"corporation":false,"usgs":false,"family":"Peltier","given":"Aline","email":"","affiliations":[],"preferred":false,"id":578323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staudacher, Thomas","contributorId":149411,"corporation":false,"usgs":false,"family":"Staudacher","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":578324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186951,"text":"70186951 - 2015 - Evidence for large compositional ranges in coeval melts erupted from Kīlauea's summit reservoir","interactions":[],"lastModifiedDate":"2022-12-06T23:49:23.165726","indexId":"70186951","displayToPublicDate":"2015-02-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"7","title":"Evidence for large compositional ranges in coeval melts erupted from Kīlauea's summit reservoir","docAbstract":"<p><span>Petrologic observations on Kīlauea's lavas include abundant microprobe analyses of glasses, which show the range of melts available in Kīlauea's summit reservoir over time. During the past two centuries, compositions of melts erupted within the caldera have been limited to MgO = 6.3–7.5 wt%. Extracaldera lavas of the 1959, 1971, and 1974 eruptions contain melts with up to 10.2, 8.9, and 9.2 wt% MgO, respectively, and the 1924 tephra contains juvenile Pele's tears with up to 9.1 wt% MgO. Melt compositions from explosive deposits at Kīlauea, including the Keanakāko‘i (A.D. 1500–1800), Kulanaokuaiki (A.D. 400–1000), and Pāhala (10–25 ka) tephra units, show large ranges of MgO contents. The range of melt MgO is 6.5–11.0 wt% for the Keanakāko‘i; the Kulanaokuaiki extends to 12.5% MgO and the Pāhala Ash includes rare shards with 13–14.5% MgO. The frequency distributions for MgO in the Keanakāko‘i and Kulanaokuaiki glasses are bimodal, suggesting preferential magma storage at two different depths. Kīlauea's summit reservoir contains melts ranging from 6.5 to at least 11.0 wt% MgO, and such melts were available for sampling near instantaneously and repeatedly over centuries. More magnesian melts are inferred to have risen directly from greater depth.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch7","usgsCitation":"Helz, R., Clague, D.A., Mastin, L.G., and Rose, T.R., 2015, Evidence for large compositional ranges in coeval melts erupted from Kīlauea's summit reservoir, chap. 7 <i>of</i> Hawaiian volcanoes: From source to surface: Geophysical Monograph, v. 208, p. 125-145, https://doi.org/10.1002/9781118872079.ch7.","productDescription":"21 p.","startPage":"125","endPage":"145","ipdsId":"IP-045434","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science 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,{"id":70144544,"text":"70144544 - 2015 - “Points requiring elucidation” about Hawaiian volcanism","interactions":[],"lastModifiedDate":"2021-02-17T22:41:21.781098","indexId":"70144544","displayToPublicDate":"2015-02-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"24","title":"“Points requiring elucidation” about Hawaiian volcanism","docAbstract":"<p>Hawaiian volcanoes, which are easily accessed and observed at close range, are among the most studied on the planet and have spurred great advances in the geosciences, from understanding deep Earth processes to forecasting volcanic eruptions. More than a century of continuous observation and study of Hawai&lsquo;i's volcanoes has also sharpened focus on those questions that remain unanswered. Although there is good evidence that volcanism in Hawai&lsquo;i is the result of a high-temperature upwelling plume from the mantle, the source composition and dynamics of the plume are controversial. Eruptions at the surface build the volcanoes of Hawai&lsquo;i, but important topics, including how the volcanoes grow and collapse and how magma is stored and transported, continue to be subjects of intense research. Forecasting volcanic activity is based mostly on pattern recognition, but determining and predicting the nature of eruptions, especially in serving the critical needs of hazards mitigation, require more realistic models and a greater understanding of what drives eruptive activity. These needs may be addressed by better integration among disciplines as well as by developing dynamic physics- and chemistry-based models that more thoroughly relate the physiochemical behavior of Hawaiian volcanism, from the deep Earth to the surface, to geological, geochemical, and geophysical data.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union; John Wiley & Sons","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch24","usgsCitation":"Poland, M.P., 2015, “Points requiring elucidation” about Hawaiian volcanism, chap. 24 <i>of</i> Hawaiian volcanoes: From source to surface: Geophysical Monograph, v. 208, p. 533-562, https://doi.org/10.1002/9781118872079.ch24.","productDescription":"30 p.","startPage":"533","endPage":"562","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051207","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":311280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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