{"pageNumber":"973","pageRowStart":"24300","pageSize":"25","recordCount":165533,"records":[{"id":70184268,"text":"70184268 - 2017 - The effects of fipronil and the photodegradation product fipronil desulfinyl on growth and gene expression in juvenile blue crabs, Callinectes sapidus, at different salinities","interactions":[],"lastModifiedDate":"2017-03-14T10:02:57","indexId":"70184268","displayToPublicDate":"2017-03-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"The effects of fipronil and the photodegradation product fipronil desulfinyl on growth and gene expression in juvenile blue crabs, Callinectes sapidus, at different salinities","docAbstract":"

Endocrine disrupting compounds (EDCs) are now widely established to be present in the environment at concentrations capable of affecting wild organisms. Although many studies have been conducted in fish, less is known about effects in invertebrates such as decapod crustaceans. Decapods are exposed to low concentrations of EDCs that may cause infertility, decreased growth, and developmental abnormalities. The objective herein was to evaluate effects of fipronil and its photodegradation product fipronil desulfinyl. Fipronil desulfinyl was detected in the eggs of the decapod Callinectes sapidus sampled off the coast of South Carolina. As such, to examine specific effects on C. sapidus exposed in early life, we exposed laboratory-reared juveniles to fipronil and fipronil desulfinyl for 96 hours at three nominal concentrations (0.01, 0.1, 0.5 μg/L) and two different salinities (10, 30 ppt). The size of individual crabs (weight, carapace width) and the expression of several genes critical to growth and reproduction were evaluated. Exposure to fipronil and fipronil desulfinyl resulted in significant size increases in all treatments compared to controls. Levels of expression for vitellogenin (Vtg), an egg yolk precursor, and the ecdysone receptor (EcR), which binds to ecdysteroids that control molting, were inversely correlated with increasing fipronil and fipronil desulfinyl concentrations. Effects on overall growth and on the expression of EcR and Vtg differ depending on the exposure salinity. The solubility of fipronil is demonstrated to decrease considerably at higher salinities. This suggests that fipronil and its photodegradation products may be more bioavailable to benthic organisms as salinity increases, as more chemical would partition to tissues. Our findings suggest that endocrine disruption is occurring through alterations to gene expression in C. sapidus populations exposed to environmental levels of fipronil, and that effects may be dependent upon the salinity at which exposure occurs.

","language":"English","publisher":"American Society for Testing and Materials","publisherLocation":"Philadelphia, PA","doi":"10.1016/j.aquatox.2017.02.027","usgsCitation":"Goff, A.D., Saranjampour, P., Ryan, L.M., Hladik, M., Covi, J.A., Armbrust, K.L., and Brander, S.M., 2017, The effects of fipronil and the photodegradation product fipronil desulfinyl on growth and gene expression in juvenile blue crabs, Callinectes sapidus, at different salinities: Aquatic Toxicology, v. 186, p. 96-104, https://doi.org/10.1016/j.aquatox.2017.02.027.","productDescription":"9 p.","startPage":"96","endPage":"104","ipdsId":"IP-082911","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2017.02.027","text":"Publisher Index Page"},{"id":336891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58be8336e4b014cc3a3a99d3","contributors":{"authors":[{"text":"Goff, Andrew D.","contributorId":187543,"corporation":false,"usgs":false,"family":"Goff","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saranjampour, Parichehr","contributorId":187544,"corporation":false,"usgs":false,"family":"Saranjampour","given":"Parichehr","email":"","affiliations":[],"preferred":false,"id":680809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Lauren M.","contributorId":187547,"corporation":false,"usgs":false,"family":"Ryan","given":"Lauren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":680807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Covi, Joseph A.","contributorId":187548,"corporation":false,"usgs":false,"family":"Covi","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Armbrust, Kevin L.","contributorId":187545,"corporation":false,"usgs":false,"family":"Armbrust","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":680810,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brander, Susanne M.","contributorId":187546,"corporation":false,"usgs":false,"family":"Brander","given":"Susanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680811,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70184253,"text":"70184253 - 2017 - Detecting spatial ontogenetic niche shifts in complex dendritic ecological networks","interactions":[],"lastModifiedDate":"2017-03-06T09:56:27","indexId":"70184253","displayToPublicDate":"2017-03-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Detecting spatial ontogenetic niche shifts in complex dendritic ecological networks","docAbstract":"

Ontogenetic niche shifts (ONS) are important drivers of population and community dynamics, but they can be difficult to identify for species with prolonged larval or juvenile stages, or for species that inhabit continuous habitats. Most studies of ONS focus on single transitions among discrete habitat patches at local scales. However, for species with long larval or juvenile periods, affinity for particular locations within connected habitat networks may differ among cohorts. The resulting spatial patterns of distribution can result from a combination of landscape-scale habitat structure, position of a habitat patch within a network, and local habitat characteristics—all of which may interact and change as individuals grow. We estimated such spatial ONS for spring salamanders (Gyrinophilus porphyriticus), which have a larval period that can last 4 years or more. Using mixture models to identify larval cohorts from size frequency data, we fit occupancy models for each age class using two measures of the branching structure of stream networks and three measures of stream network position. Larval salamander cohorts showed different preferences for the position of a site within the stream network, and the strength of these responses depended on the basin-wide spatial structure of the stream network. The isolation of a site had a stronger effect on occupancy in watersheds with more isolated headwater streams, while the catchment area, which is associated with gradients in stream habitat, had a stronger effect on occupancy in watersheds with more paired headwater streams. Our results show that considering the spatial structure of habitat networks can provide new insights on ONS in long-lived species.

","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1662","usgsCitation":"Fields, W.R., Grant, E., and Lowe, W.H., 2017, Detecting spatial ontogenetic niche shifts in complex dendritic ecological networks: Ecosphere, v. 8, no. 2, e01662: 10 p., https://doi.org/10.1002/ecs2.1662.","productDescription":"e01662: 10 p.","ipdsId":"IP-069867","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1662","text":"Publisher Index Page"},{"id":336846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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Campbell, Lowe Winsor H.","journalName":"Ecosphere","publicationDate":"2/2017","publiclyAccessibleDate":"2/21/2017"},"contributors":{"authors":[{"text":"Fields, William R.","contributorId":152076,"corporation":false,"usgs":false,"family":"Fields","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":680743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":167017,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":680744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":680745,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70184217,"text":"fs20173018 - 2017 - Landsat eyes help guard the world's forests","interactions":[],"lastModifiedDate":"2017-03-06T12:58:39","indexId":"fs20173018","displayToPublicDate":"2017-03-03T16:45:00","publicationYear":"2017","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":"2017-3018","title":"Landsat eyes help guard the world's forests","docAbstract":"

Summary

The Landsat program is a joint effort between the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA), but the partner agencies have distinct roles. NASA develops remote-sensing instruments and spacecraft, launches satellites, and validates their performance in orbit. The USGS owns and operates Landsat satellites in space and manages their data transmissions, including ground reception, archiving, product generation, and public distribution. In 2008, with support from the U.S. Department of the Interior, the USGS made its Landsat data free to anyone in the world.

The current satellites in the Landsat program, Landsat 7 (launched in 1999) and Landsat 8 (launched in 2013), provide complete coverage of the Earth every eight days. A Landsat 9 satellite is scheduled for launch in late 2020.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173018","usgsCitation":"Campbell, Jon, 2017, Landsat eyes help guard the world's forests: U.S. Geological Survey Fact Sheet 2017–3018, 2 p., https://doi.org/10.3133/fs20173018.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084384","costCenters":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"links":[{"id":336823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3018/coverthb.jpg"},{"id":336824,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3018/fs20173018.pdf","text":"Report","size":"2.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3018"}],"otherGeospatial":"Earth","contact":"

Associate Director
U.S. Geological Survey
Climate and Land Use Change Mission Area
12201 Sunrise Valley Drive
Reston, VA 20192
Web site: Climate and Land Use Change

","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-03-03","noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"58ba8ebae4b0bcef64f0b92d","contributors":{"authors":[{"text":"Campbell, Jon","contributorId":35743,"corporation":false,"usgs":true,"family":"Campbell","given":"Jon","affiliations":[],"preferred":false,"id":680697,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70184199,"text":"70184199 - 2017 - A physics-based earthquake simulator and its application to seismic hazard assessment in Calabria (Southern Italy) region","interactions":[],"lastModifiedDate":"2017-06-07T14:16:50","indexId":"70184199","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5309,"text":"Acta Geophysica","active":true,"publicationSubtype":{"id":10}},"title":"A physics-based earthquake simulator and its application to seismic hazard assessment in Calabria (Southern Italy) region","docAbstract":"

The use of a newly developed earthquake simulator has allowed the production of catalogs lasting 100 kyr and containing more than 100,000 events of magnitudes ≥4.5. The model of the fault system upon which we applied the simulator code was obtained from the DISS 3.2.0 database, selecting all the faults that are recognized on the Calabria region, for a total of 22 fault segments. The application of our simulation algorithm provides typical features in time, space and magnitude behavior of the seismicity, which can be compared with those of the real observations. The results of the physics-based simulator algorithm were compared with those obtained by an alternative method using a slip-rate balanced technique. Finally, as an example of a possible use of synthetic catalogs, an attenuation law has been applied to all the events reported in the synthetic catalog for the production of maps showing the exceedance probability of given values of PGA on the territory under investigation.

","language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin","doi":"10.1007/s11600-017-0020-2","usgsCitation":"Console, R., Nardi, A., Carluccio, R., Murru, M., Falcone, G., and Parsons, T.E., 2017, A physics-based earthquake simulator and its application to seismic hazard assessment in Calabria (Southern Italy) region: Acta Geophysica, v. 65, no. 1, p. 243-257, https://doi.org/10.1007/s11600-017-0020-2.","productDescription":"15 p.","startPage":"243","endPage":"257","ipdsId":"IP-083545","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":336810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Calabria region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 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PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-28","publicationStatus":"PW","scienceBaseUri":"58ba8ebce4b0bcef64f0b933","contributors":{"authors":[{"text":"Console, Rodolfo","contributorId":172718,"corporation":false,"usgs":false,"family":"Console","given":"Rodolfo","email":"","affiliations":[{"id":27089,"text":"Center of Integrated Geomorphology for the Mediterranean Area, Potenza, Italy","active":true,"usgs":false}],"preferred":false,"id":680515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nardi, Anna","contributorId":187464,"corporation":false,"usgs":false,"family":"Nardi","given":"Anna","email":"","affiliations":[],"preferred":false,"id":680516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carluccio, Roberto","contributorId":187465,"corporation":false,"usgs":false,"family":"Carluccio","given":"Roberto","email":"","affiliations":[],"preferred":false,"id":680517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murru, Maura","contributorId":172714,"corporation":false,"usgs":false,"family":"Murru","given":"Maura","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":680518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falcone, Giuseppe","contributorId":187466,"corporation":false,"usgs":false,"family":"Falcone","given":"Giuseppe","email":"","affiliations":[],"preferred":false,"id":680519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":680514,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192244,"text":"70192244 - 2017 - Interaction of Francisella noatunensis subsp. orientalis with Oreochromis mossambicus bulbus arteriosus cell line","interactions":[],"lastModifiedDate":"2017-10-24T11:06:00","indexId":"70192244","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5525,"text":"Microbial Pathogenesis","active":true,"publicationSubtype":{"id":10}},"title":"Interaction of Francisella noatunensis subsp. orientalis with Oreochromis mossambicus bulbus arteriosus cell line","docAbstract":"

Francisella noatunensis subsp. orientalis (Fno) (syn. F. asiatica) is an emergent warmwater fish pathogen and the causative agent of piscine francisellosis. Although Fno causes septicemia and can live extracellularly in infected tilapia (Oreochromis spp.), the early interaction of Fno with vasculature endothelium is unknown. In the present study, we examined the interaction of wild-type Fno (WT) and two Fno knockout [intracellular growth loci C (ΔiglC) and pathogenicity determinant protein A (ΔpdpA)] strains with the endothelial O. mossambicus bulbus arteriosus cell line (TmB) at 25 °C and 30 °C. Similar amounts of WT, ΔiglC, and ΔpdpA attached and were detected intracellularly after 5 h of incubation at both temperatures; however temperature affected attachment and uptake. While significantly greater amounts of Fno (WT, ΔiglC, and ΔpdpA) were detected intracellularly when TmB cells were incubated at 30 °C, bacteria attached to TmBs at greater levels at 25 °C. Only WT Fno was able to replicate intracellularly at 25 °C, which resulted in Fno mediated cytotoxicity and apoptosis at 24 and 72 h post-infection. WT Fno incubated at 30 °C as well as ΔiglC,and ΔpdpA incubated at 25 °C and 30 °C were all defective for survival, replication, and the ability to cause cytotoxicity in TmB. Taken together, these results demonstrate that temperature plays a vital role for Fno intracellular survival, persistence and cytotoxicity.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.micpath.2017.03.003","usgsCitation":"Soto, E., Yun, S., Lewis, J., Kearney, M.T., and Hansen, J.D., 2017, Interaction of Francisella noatunensis subsp. orientalis with Oreochromis mossambicus bulbus arteriosus cell line: Microbial Pathogenesis, v. 105, p. 326-333, https://doi.org/10.1016/j.micpath.2017.03.003.","productDescription":"8 p.","startPage":"326","endPage":"333","numberOfPages":"8","ipdsId":"IP-080972","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":347169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa9e4b0220bbd988fb2","contributors":{"authors":[{"text":"Soto, Esteban","contributorId":64142,"corporation":false,"usgs":true,"family":"Soto","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":714979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yun, Susan","contributorId":198062,"corporation":false,"usgs":false,"family":"Yun","given":"Susan","affiliations":[],"preferred":false,"id":714980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, J.","contributorId":79672,"corporation":false,"usgs":true,"family":"Lewis","given":"J.","affiliations":[],"preferred":false,"id":714981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kearney, Michael T.","contributorId":149971,"corporation":false,"usgs":false,"family":"Kearney","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":17867,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana, USA 70803","active":true,"usgs":false}],"preferred":false,"id":714982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, John D. 0000-0002-3006-2734 jhansen@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":3440,"corporation":false,"usgs":true,"family":"Hansen","given":"John","email":"jhansen@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":714983,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185256,"text":"70185256 - 2017 - Volcanic ash supports a diverse bacterial community in a marine mesocosm","interactions":[],"lastModifiedDate":"2017-04-19T16:05:55","indexId":"70185256","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic ash supports a diverse bacterial community in a marine mesocosm","docAbstract":"Shallow-water coral reef ecosystems, particularly those already impaired by anthropogenic pressures, may be highly sensitive to disturbances from natural catastrophic events, such as volcanic eruptions. Explosive volcanic eruptions expel large quantities of silicate ash particles into the atmosphere, which can disperse across millions of square kilometres and deposit into coral reef ecosystems. Following heavy ash deposition, mass mortality of reef biota is expected, but little is known about the recovery of post-burial reef ecosystems. Reef regeneration depends partly upon the capacity of the ash deposit to be colonised by waterborne bacterial communities and may be influenced to an unknown extent by the physiochemical properties of the ash substrate itself. To determine the potential for volcanic ash to support pioneer bacterial colonisation, we exposed five well-characterised volcanic and coral reef substrates to a marine aquarium under low light conditions for 3 months: volcanic ash, synthetic volcanic glass, carbonate reef sand, calcite sand and quartz sand. Multivariate statistical analysis of Automated Ribosomal Intergenic Spacer Analysis (ARISA) fingerprinting data demonstrates clear segregation of volcanic substrates from the quartz and coral reef substrates over 3 months of bacterial colonisation. Overall bacterial diversity showed shared and substrate-specific bacterial communities; however, the volcanic ash substrate supported the most diverse bacterial community. These data suggest a significant influence of substrate properties (composition, granulometry and colour) on bacterial settlement. Our findings provide first insights into physicochemical controls on pioneer bacterial colonisation of volcanic ash and highlight the potential for volcanic ash deposits to support bacterial diversity in the aftermath of reef burial, on timescales that could permit cascading effects on larval settlement.","language":"English","publisher":"Wiley","doi":"10.1111/gbi.12231","usgsCitation":"Witt, V., Ayris, P.M., Damby, D., Cimarelli, C., Kueppers, U., Dingwell, D.B., and Worheide, G., 2017, Volcanic ash supports a diverse bacterial community in a marine mesocosm: Geobiology, v. 15, no. 3, p. 453-463, https://doi.org/10.1111/gbi.12231.","productDescription":"11 p. ","startPage":"453","endPage":"463","ipdsId":"IP-081915","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gbi.12231","text":"Publisher Index Page"},{"id":337792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"58ccf59ce4b0849ce97f0cdc","contributors":{"authors":[{"text":"Witt, Verena","contributorId":189453,"corporation":false,"usgs":false,"family":"Witt","given":"Verena","email":"","affiliations":[],"preferred":false,"id":684894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayris, Paul M","contributorId":189454,"corporation":false,"usgs":false,"family":"Ayris","given":"Paul","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":684895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":684893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cimarelli, Corrado","contributorId":189455,"corporation":false,"usgs":false,"family":"Cimarelli","given":"Corrado","email":"","affiliations":[],"preferred":false,"id":684896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kueppers, Ulrich","contributorId":189456,"corporation":false,"usgs":false,"family":"Kueppers","given":"Ulrich","email":"","affiliations":[],"preferred":false,"id":684897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dingwell, Donald B","contributorId":189458,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":684899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Worheide, Gert","contributorId":189459,"corporation":false,"usgs":false,"family":"Worheide","given":"Gert","email":"","affiliations":[],"preferred":false,"id":684900,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70184214,"text":"70184214 - 2017 - Pyrogenic carbon distribution in mineral topsoils of the northeastern United States","interactions":[],"lastModifiedDate":"2025-05-14T19:05:53.709545","indexId":"70184214","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Pyrogenic carbon distribution in mineral topsoils of the northeastern United States","docAbstract":"

Due to its slow turnover rates in soil, pyrogenic carbon (PyC) is considered an important C pool and relevant to climate change processes. Therefore, the amounts of soil PyC were compared to environmental covariates over an area of 327,757 km2 in the northeastern United States in order to understand the controls on PyC distribution over large areas. Topsoil (defined as the soil A horizon, after removal of any organic horizons) samples were collected at 165 field sites in a generalised random tessellation stratified design that corresponded to approximately 1 site per 1600 km2 and PyC was estimated from diffuse reflectance mid-infrared spectroscopy measurements using a partial least-squares regression analysis in conjunction with a large database of PyC measurements based on a solid-state 13C nuclear magnetic resonance spectroscopy technique. Three spatial models were applied to the data in order to relate critical environmental covariates to the changes in spatial density of PyC over the landscape. Regional mean density estimates of PyC were 11.0 g kg− 1 (0.84 Gg km− 2) for Ordinary Kriging, 25.8 g kg− 1(12.2 Gg km− 2) for Multivariate Linear Regression, and 26.1 g kg− 1 (12.4 Gg km− 2) for Bayesian Regression Kriging. Akaike Information Criterion (AIC) indicated that the Multivariate Linear Regression model performed best (AIC = 842.6; n = 165) compared to Ordinary Kriging (AIC = 982.4) and Bayesian Regression Kriging (AIC = 979.2). Soil PyC concentrations correlated well with total soil sulphur (P < 0.001; n = 165), plant tissue lignin (P = 0.003), and drainage class (P = 0.008). This suggests the opportunity of including related environmental parameters in the spatial assessment of PyC in soils. Better estimates of the contribution of PyC to the global carbon cycle will thus also require more accurate assessments of these covariates.

","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.geoderma.2017.02.022","usgsCitation":"Jauss, V., Sullivan, P.J., Sanderman, J., Smith, D.B., and Lehmann, J., 2017, Pyrogenic carbon distribution in mineral topsoils of the northeastern United States: Geoderma, v. 296, p. 69-78, https://doi.org/10.1016/j.geoderma.2017.02.022.","productDescription":"10 p.","startPage":"69","endPage":"78","ipdsId":"IP-081130","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":488415,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2017.02.022","text":"Publisher Index Page"},{"id":336818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"296","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ba8ebbe4b0bcef64f0b92f","contributors":{"authors":[{"text":"Jauss, Verena","contributorId":187475,"corporation":false,"usgs":false,"family":"Jauss","given":"Verena","email":"","affiliations":[],"preferred":false,"id":680578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Patrick J.","contributorId":187476,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":680579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanderman, Jonathan","contributorId":187477,"corporation":false,"usgs":false,"family":"Sanderman","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":680580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":138565,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":680577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lehmann, Johannes","contributorId":187478,"corporation":false,"usgs":false,"family":"Lehmann","given":"Johannes","email":"","affiliations":[],"preferred":false,"id":680581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184211,"text":"70184211 - 2017 - Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed","interactions":[],"lastModifiedDate":"2017-10-04T10:15:55","indexId":"70184211","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed","docAbstract":"

The risks to wildlife and humans from uranium (U) mining in the Grand Canyon watershed are largely unknown. In addition to U, other co-occurring ore constituents contribute to risks to biological receptors depending on their toxicological profiles. This study characterizes the pre-mining concentrations of total arsenic (As), cadmium (Cd), copper (Cu), lead (Pb), mercury (Hg), nickel (Ni), selenium (Se), thallium (Tl), U, and zinc (Zn); radiation levels; and histopathology in biota (vegetation, invertebrates, amphibians, birds, and mammals) at the Canyon Mine. Gross alpha levels were below the reporting limit (4 pCi/g) in all samples, and gross beta levels were indicative of background in vegetation (<10–17 pCi/g) and rodents (<10–43.5 pCi/g). Concentrations of U, Tl, Pb, Ni, Cu, and As in vegetation downwind from the mine were likely the result of aeolian transport. Chemical concentrations in rodents and terrestrial invertebrates indicate that surface disturbance during mine construction has not resulted in statistically significant spatial differences in fauna concentrations adjacent to the mine. Chemical concentrations in egg contents and nestlings of non-aquatic birds were less than method quantification limits or did not exceed toxicity thresholds. Bioaccumulation of As, Pb, Se, Tl, and U was evident in Western spadefoot (Spea multiplicata) tadpoles from the mine containment pond; concentrations of As (28.9–31.4 μg/g) and Se (5.81–7.20 μg/g) exceeded toxicity values and were significantly greater than in tadpoles from a nearby water source. Continued evaluation of As and Se in biota inhabiting and forging in the mine containment pond is warranted as mining progresses.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-017-5765-1","usgsCitation":"Hinck, J.E., Cleveland, D.M., Brumbaugh, W.G., Linder, G., and Lankton, J.S., 2017, Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed: Environmental Monitoring and Assessment, v. 189, no. 56, 23 p., https://doi.org/10.1007/s10661-017-5765-1.","productDescription":"23 p.","ipdsId":"IP-075531","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":336813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337739,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QF8R16","text":"Chemistry, radiation and histopathology data in support of manuscript \"Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed\""}],"country":"United States","state":"Arizona","county":"Coconino County","otherGeospatial":"Canyon Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.101944,\n 35.886111\n ],\n [\n -112.091111,\n 35.886111\n ],\n [\n -112.091111,\n 35.877778\n ],\n [\n -112.101944,\n 35.877778\n ],\n [\n -112.101944,\n 35.886111\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"189","issue":"56","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-13","publicationStatus":"PW","scienceBaseUri":"58ba8ebbe4b0bcef64f0b931","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linder, Greg linder2@usgs.gov","contributorId":187472,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":680573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184189,"text":"fs20173012 - 2017 - Geospatial analysis identifies critical mineral-resource potential in Alaska","interactions":[],"lastModifiedDate":"2018-06-19T19:29:48","indexId":"fs20173012","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","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":"2017-3012","title":"Geospatial analysis identifies critical mineral-resource potential in Alaska","docAbstract":"

Alaska consists of more than 663,000 square miles (1,717,000 square kilometers) of land—more than a sixth of the total area of the United States—and large tracts of it have not been systematically studied or sampled for mineral-resource potential. Many regions of the State are known to have significant mineral-resource potential, and there are currently six operating mines in the State along with numerous active mineral exploration projects. The U.S. Geological Survey and the Alaska Division of Geological & Geophysical Surveys have developed a new geospatial tool that integrates and analyzes publicly available databases of geologic information and estimates the mineral-resource potential for critical minerals, which was recently used to evaluate Alaska. The results of the analyses highlight areas that have known mineral deposits and also reveal areas that were not previously considered to be prospective for these deposit types. These results will inform land management decisions by Federal, State, and private landholders, and will also help guide future exploration activities and scientific investigations in Alaska.

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\":{\"name\":\"Alaska\",\"nation\":\"USA \"}}]}","contact":"

Alaska Science Center staff 
U.S. Geological Survey
4210 University Dr.
Anchorage, AK 99508
Alaska Mineral Resources
Alaska Science Center

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-03-03","noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"58ba8ebce4b0bcef64f0b935","contributors":{"editors":[{"text":"Jacques, Katherine","contributorId":187482,"corporation":false,"usgs":true,"family":"Jacques","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":680591,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Landowski, Claire","contributorId":187483,"corporation":false,"usgs":true,"family":"Landowski","given":"Claire","affiliations":[],"preferred":false,"id":680592,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":680590,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70181773,"text":"sim2942 - 2017 - Bedrock geologic map of the northern Alaska Peninsula area, southwestern Alaska","interactions":[],"lastModifiedDate":"2017-06-07T16:27:47","indexId":"sim2942","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2942","title":"Bedrock geologic map of the northern Alaska Peninsula area, southwestern Alaska","docAbstract":"
The northern Alaska Peninsula is a region of transition from the classic magmatic arc geology of the Alaska Peninsula to a Proterozoic and early Paleozoic carbonate platform and then to the poorly understood, tectonically complex sedimentary basins of southwestern Alaska. Physiographically, the region ranges from the high glaciated mountains of the Alaska-Aleutian Range to the coastal lowlands of Cook Inlet on the east and Bristol Bay on the southwest. The lower Ahklun Mountains and finger lakes on the west side of the map area show strong effects from glaciation. Structurally, a number of major faults cut the map area. Most important of these are the Bruin Bay Fault that parallels the coast of Cook Inlet, the Lake Clark Fault that cuts diagonally northeast to southwest across the eastern part of the map area, and the presently active Holitna Fault to the northwest that cuts surficial deposits.

Distinctive rock packages assigned to three provinces are overlain by younger sedimentary rocks and intruded by widely dispersed latest Cretaceous and (or) early Tertiary granitic rocks. Much of the east half of the map area lies in the Alaska-Aleutian Range province; the Jurassic to Tertiary Alaska-Aleutian Range batholith and derivative Jurassic sedimentary rocks form the core of this province, which is intruded and overlain by the Aleutian magmatic arc. The Lime Hills province, the carbonate platform, occurs in the north-central part of the map area. The Paleozoic and Mesozoic Ahklun Mountains province in the western part of the map area includes abundant chert, argillite, and graywacke and lesser limestone, basalt, and tectonic mélange. The Kuskokwim Group, an Upper Cretaceous turbidite sequence, is extensively exposed and bounds all three provinces in the west-central part of the map area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2942","usgsCitation":"Wilson, F.H., Blodgett, R.B., Blome, C.D., Mohadjer, S., Preller, C.C., Klimasauskas, E.P., Gamble, B.M., and Coonrad, W.L., 2017, Bedrock geologic map of the northern Alaska Peninsula area, southwestern Alaska: U.S. Geological Survey Scientific Investigations Map 2942, pamphlet 43 p., scale 1:350,000, https://doi.org/10.3133/sim2942.","productDescription":"Pamphlet: iv, 43 p.; 2 Sheets: 51.93 x 33.52 inches and 35.62 x 28.33 inches; Database; Metadata; ReadMe","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":335286,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_pamphlet.pdf","text":"Pamphlet","size":"540 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2942 Pamphlet"},{"id":335287,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_sheet1.pdf","text":"Sheet 1","size":"33.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2942 Sheet 1"},{"id":335285,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/2942/coverthb.jpg"},{"id":335291,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_metadata.txt","text":"Metadata","size":"63 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 2942 Metadata TXT"},{"id":335292,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_metadata.xml","text":"Metadata","size":"58 KB xml","description":"SIM 2942 Metadata XML"},{"id":335293,"rank":9,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_metadata_faq.html","text":"Metadata FAQ","size":"46 MB","linkFileType":{"id":5,"text":"html"},"description":"SIM 2942 Metadata FAQ"},{"id":335288,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_sheet2.pdf","text":"Sheet 2","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2942 Sheet 2"},{"id":335289,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_databases.zip","text":"Database","size":"196.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 2942 Database"},{"id":335290,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_metadata.html","text":"Metadata","size":"147 KB","linkFileType":{"id":5,"text":"html"},"description":"SIM 2942 Metadata HTML"},{"id":335294,"rank":10,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/2942/sim2942_readme.pdf","text":"ReadMe","size":"490 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2942 ReadMe"}],"country":"United States","state":"Alaska","otherGeospatial":"Northern Alaska Peninsula Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159,\n 61\n ],\n [\n -159,\n 59\n ],\n [\n -153,\n 59\n ],\n [\n -151.666666,\n 61\n ],\n [\n -159,\n 61\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Staff, Alaska Science Center

U.S. Geological Survey

4210 University Dr.

Anchorage, AK 99508
Alaska Science Center

","tableOfContents":"","publishedDate":"2017-03-03","noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"58ba8ebce4b0bcef64f0b937","contributors":{"compilers":[{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":668457,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Blodgett, Robert B.","contributorId":89612,"corporation":false,"usgs":true,"family":"Blodgett","given":"Robert B.","affiliations":[],"preferred":false,"id":668458,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":668459,"contributorType":{"id":3,"text":"Compilers"},"rank":3},{"text":"Mohadjer, Solmaz","contributorId":61518,"corporation":false,"usgs":true,"family":"Mohadjer","given":"Solmaz","email":"","affiliations":[],"preferred":false,"id":668460,"contributorType":{"id":3,"text":"Compilers"},"rank":4},{"text":"Preller, Cindi C.","contributorId":55898,"corporation":false,"usgs":true,"family":"Preller","given":"Cindi","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":668461,"contributorType":{"id":3,"text":"Compilers"},"rank":5},{"text":"Klimasauskas, Edward P.","contributorId":80366,"corporation":false,"usgs":true,"family":"Klimasauskas","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":668462,"contributorType":{"id":3,"text":"Compilers"},"rank":6},{"text":"Gamble, Bruce M. bgamble@usgs.gov","contributorId":560,"corporation":false,"usgs":true,"family":"Gamble","given":"Bruce","email":"bgamble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":668463,"contributorType":{"id":3,"text":"Compilers"},"rank":7},{"text":"Coonrad, Warren L.","contributorId":47481,"corporation":false,"usgs":true,"family":"Coonrad","given":"Warren","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":668464,"contributorType":{"id":3,"text":"Compilers"},"rank":8}]}} ,{"id":70188020,"text":"70188020 - 2017 - Transcriptomic imprints of adaptation to fresh water: parallel evolution of osmoregulatory gene expression in the Alewife","interactions":[],"lastModifiedDate":"2017-05-30T09:49:58","indexId":"70188020","displayToPublicDate":"2017-03-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Transcriptomic imprints of adaptation to fresh water: parallel evolution of osmoregulatory gene expression in the Alewife","docAbstract":"

Comparative approaches in physiological genomics offer an opportunity to understand the functional importance of genes involved in niche exploitation. We used populations of Alewife (Alosa pseudoharengus) to explore the transcriptional mechanisms that underlie adaptation to fresh water. Ancestrally anadromous Alewives have recently formed multiple, independently derived, landlocked populations, which exhibit reduced tolerance of saltwater and enhanced tolerance of fresh water. Using RNA-seq, we compared transcriptional responses of an anadromous Alewife population to two landlocked populations after acclimation to fresh (0 ppt) and saltwater (35 ppt). Our results suggest that the gill transcriptome has evolved in primarily discordant ways between independent landlocked populations and their anadromous ancestor. By contrast, evolved shifts in the transcription of a small suite of well-characterized osmoregulatory genes exhibited a strong degree of parallelism. In particular, transcription of genes that regulate gill ion exchange has diverged in accordance with functional predictions: freshwater ion-uptake genes (most notably, the ‘freshwater paralog’ of Na+/K+-ATPase α-subunit) were more highly expressed in landlocked forms, whereas genes that regulate saltwater ion secretion (e.g. the ‘saltwater paralog’ of NKAα) exhibited a blunted response to saltwater. Parallel divergence of ion transport gene expression is associated with shifts in salinity tolerance limits among landlocked forms, suggesting that changes to the gill's transcriptional response to salinity facilitate freshwater adaptation.

","language":"English","publisher":"Blackwell Science","doi":"10.1111/mec.13983","usgsCitation":"Velotta, J.P., Wegrzyn, J.L., Ginzburg, S., Kang, L., Czesny, S.J., O’Neill, R.J., McCormick, S.D., Michalak, P., and Schultz, E., 2017, Transcriptomic imprints of adaptation to fresh water: parallel evolution of osmoregulatory gene expression in the Alewife: Molecular Ecology, v. 26, no. 3, p. 831-848, https://doi.org/10.1111/mec.13983.","productDescription":"18 p.","startPage":"831","endPage":"848","ipdsId":"IP-076741","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":341813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"592d8edee4b08f9d15be7b80","contributors":{"authors":[{"text":"Velotta, Jonathan P.","contributorId":86281,"corporation":false,"usgs":true,"family":"Velotta","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":696207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wegrzyn, Jill L.","contributorId":192322,"corporation":false,"usgs":false,"family":"Wegrzyn","given":"Jill","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":696226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ginzburg, Samuel","contributorId":192323,"corporation":false,"usgs":false,"family":"Ginzburg","given":"Samuel","email":"","affiliations":[],"preferred":false,"id":696227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kang, Lin","contributorId":192324,"corporation":false,"usgs":false,"family":"Kang","given":"Lin","email":"","affiliations":[],"preferred":false,"id":696228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Czesny, Sergiusz J.","contributorId":138598,"corporation":false,"usgs":false,"family":"Czesny","given":"Sergiusz","email":"","middleInitial":"J.","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":696229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Neill, Rachel J.","contributorId":78668,"corporation":false,"usgs":true,"family":"O’Neill","given":"Rachel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":696206,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michalak, Pawel","contributorId":139209,"corporation":false,"usgs":false,"family":"Michalak","given":"Pawel","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":696231,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schultz, Eric T.","contributorId":77071,"corporation":false,"usgs":true,"family":"Schultz","given":"Eric T.","affiliations":[],"preferred":false,"id":696232,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178815,"text":"pp1814D - 2017 - Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages","interactions":[{"subject":{"id":70178815,"text":"pp1814D - 2017 - Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages","indexId":"pp1814D","publicationYear":"2017","noYear":false,"chapter":"D","displayTitle":"Regional patterns of Mesozoic-Cenozoic Magmatism in Western Alaska Revealed by New U-Pb and 40Ar/39Ar Ages","title":"Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2018-12-10T15:19:03","indexId":"pp1814D","displayToPublicDate":"2017-03-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1814","chapter":"D","displayTitle":"Regional patterns of Mesozoic-Cenozoic Magmatism in Western Alaska Revealed by New U-Pb and 40Ar/39Ar Ages","title":"Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages","docAbstract":"

In support of regional geologic framework studies, we obtained 50 new argon-40/argon-39 (40Ar/39Ar) ages and 33 new uranium-lead (U-Pb) ages from igneous rocks of southwestern Alaska. Most of the samples are from the Sleetmute and Taylor Mountains quadrangles; smaller collections or individual samples are from the Bethel, Candle, Dillingham, Goodnews Bay, Holy Cross, Iditarod, Kantishna River, Lake Clark, Lime Hills, McGrath, Medfra, Talkeetna, and Tanana quadrangles.

A U-Pb zircon age of 317.7±0.6 million years (Ma) reveals the presence of Pennsylvanian intermediate igneous (probably volcanic) rocks in the Tikchik terrane, Bethel quadrangle. A U-Pb zircon age of 229.5±0.2 Ma from gabbro intruding the Rampart Group of the Angayucham-Tozitna terrane, Tanana quadrangle, confirms and tightens a previously cited Triassic age for this intrusive suite. A fresh mafic dike in Goodnews Bay quadrangle yielded a 40Ar/39Ar whole rock age of 155.0±1.9 Ma; this establishes a Jurassic or older age for the previously unconstrained (Paleozoic? to Mesozoic?) sandstone unit that it intrudes. A thick felsic tuff in the Gemuk Group in Taylor Mountains quadrangle yielded a U-Pb zircon age of 153.0±2.0 Ma, extending the age of magmatism in this part of the Togiak terrane back into the Late Jurassic. We report three new U-Pb zircon ages between 120 and 110 Ma—112.0±0.9 Ma from syenite in the Candle quadrangle, 114.9±0.3 Ma from orthogneiss assigned to the Ruby terrane in Iditarod quadrangle, and 116.6±0.1 Ma from a gabbro of the Dishna River mafic-ultramafic complex in Iditarod quadrangle. The latter result requires a substantial age revision, from Triassic to Cretaceous, for at least some rocks that have been mapped as the Dishna River mafic-ultramafic complex. A tuff in the Upper Cretaceous Kuskokwim Group yielded a U-Pb zircon (sensitive high-resolution ion microprobe, SHRIMP) age of 88.3±1.0 Ma; we speculate that the eruptive source was an arc along the trend of the Pebble porphyry copper deposit along the Gulf of Alaska continental margin. More than half of the new ages fall between 75 and 65 Ma, confirming the existence, based on conventional potassium-argon (K-Ar) ages, of a 70-Ma igneous flare-up across southwestern Alaska. Our new ages hint that during this pulse, the locus of magmatism shifted toward the Gulf of Alaska, that is, toward a more outboard position. This shift is consistent with the hypothesis that magmatism was the product of rollback of a subducted slab, which at that time would have been the Resurrection Plate. Intrusive rocks in the Taylor Mountains and Sleetmute quadrangles in the age range of 63 to 59 Ma were emplaced shortly before the onset of ridge subduction as dated by near-trench plutons in the adjacent part of the Chugach accretionary complex. Southwestern Alaska at this time would have been positioned above a very young subducted slab belonging to the Resurrection Plate; magmas, in this scenario, were generated near the edge of the slab window related to ridge subduction. A 56.3±0.2 Ma granite in Taylor Mountains quadrangle and a 54.7±0.7 Ma ashfall tuff in McGrath quadrangle were likely emplaced above the Resurrection-Kula slab window, which by this time is inferred to have entered the region. Another ashfall tuff in McGrath quadrangle, at 42.8±0.5 Ma, likely belongs to the Meshik Arc, the product of renewed subduction after inferred passage of the slab window. A 49.0±0.3-Ma rhyolite in Taylor Mountains quadrangle is about the age of the transition from slab window to renewed subduction. Two plutons in the western Alaska Range, at 31.8±0.4 and 30.9±0.6 Ma, belong to a suite of gabbro to peralkaline granite of unknown origin. Finally, a 4.6±0.1-Ma basalt from a flow in Taylor Mountains quadrangle belongs to the Neogene basaltic province of western Alaska. These rocks were erupted in a distal retroarc setting; the cause of magmatism is unknown. 

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, vol. 15 (Professional Paper 1814)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814D","usgsCitation":"Bradley, D.C., Miller, M.L., Friedman, R.M., Layer, P.W., Bleick, H.A., Jones, J.V., III, Box, S.E., Karl, S.M., Shew, N.B., White, T.S., Till, A.B., Dumoulin, J.A., Bundtzen, T.K., O’Sullivan, P.B., and Ullrich, T.D., 2017, Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages, in Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–D, 48 p., https://doi.org/10.3133/pp1814D.","productDescription":"Report: v, 48 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-070875","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":336764,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/d/pp1814d.pdf","text":"Report","size":"34.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1814"},{"id":336762,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/d/pp1814d_apenndix2.zip","text":"Appendix 2 (CSV)","size":"53 KB","linkFileType":{"id":6,"text":"zip"},"description":"PP 1814 Appendix 2 ZIP","linkHelpText":"New Geochronology Data for Igneous-Rock Samples from Western Alaska"},{"id":336760,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/d/coverthb.jpg"},{"id":336761,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/d/pp1814d_appendix2.xlsx","text":"Appendix 2 (xlsx)","size":"312 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1814 Appendix 2 XLSX","linkHelpText":"New Geochronology Data for Igneous-Rock Samples from Western Alaska"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162,\n 66\n ],\n [\n -150,\n 66\n ],\n [\n -150,\n 59\n ],\n [\n -162,\n 59\n ],\n [\n -162,\n 66\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Alaska Science Center staff
U.S. Geological Survey
4210 University Dr.
Anchorage, AK 99508
Alaska Mineral Resources
Alaska Science Center 

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-03-02","noUsgsAuthors":false,"publicationDate":"2017-03-02","publicationStatus":"PW","scienceBaseUri":"58b93d28e4b090ec658d771d","contributors":{"editors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":753566,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":680437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Marti L. 0000-0003-0285-4942 mlmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-0285-4942","contributorId":561,"corporation":false,"usgs":true,"family":"Miller","given":"Marti","email":"mlmiller@usgs.gov","middleInitial":"L.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Richard M.","contributorId":141227,"corporation":false,"usgs":false,"family":"Friedman","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":13720,"text":"Department of Earth and Ocean Sciences University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":680439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Layer, Paul W.","contributorId":59483,"corporation":false,"usgs":true,"family":"Layer","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":680440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bleick, Heather A. hbleick@usgs.gov","contributorId":2484,"corporation":false,"usgs":true,"family":"Bleick","given":"Heather","email":"hbleick@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":680441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Box, Steven E.","contributorId":187446,"corporation":false,"usgs":true,"family":"Box","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":680443,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680444,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680445,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"White, Timothy S.","contributorId":187447,"corporation":false,"usgs":true,"family":"White","given":"Timothy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":680446,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Till, Alison B. atill@usgs.gov","contributorId":2482,"corporation":false,"usgs":true,"family":"Till","given":"Alison","email":"atill@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680447,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":680448,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":680449,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"O'Sullivan, Paul B.","contributorId":36627,"corporation":false,"usgs":true,"family":"O'Sullivan","given":"Paul B.","affiliations":[],"preferred":false,"id":680450,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ullrich, Thomas D.","contributorId":187448,"corporation":false,"usgs":true,"family":"Ullrich","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680451,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70180983,"text":"fs20173010 - 2017 - Water resources of the Southern Hills regional aquifer system, southeastern Louisiana","interactions":[],"lastModifiedDate":"2017-03-06T11:34:31","indexId":"fs20173010","displayToPublicDate":"2017-03-01T16:45:00","publicationYear":"2017","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":"2017-3010","title":"Water resources of the Southern Hills regional aquifer system, southeastern Louisiana","docAbstract":"

Information concerning the availability, use, and quality of groundwater in the 10 parishes overlying the Southern Hills regional aquifer system of Louisiana (fig. 1) is critical for water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater sources in these parishes is presented. Previously published reports (see References Cited section) and data stored in the U.S. Geological Survey’s National Water Information System (U.S. Geological Survey, 2017) are the primary sources of the information presented here.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173010","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2017, Water resources of the Southern Hills regional aquifer system, southeastern Louisiana: U.S. Geological Survey Fact Sheet 2017–3010,
6 p., https://doi.org/10.3133/fs20173010.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-081709","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":438427,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014-2015"},{"id":336733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3010/coverthb.jpg"},{"id":336734,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3010/fs20173010.pdf","text":"Report","size":"1.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3010"}],"country":"United States","state":"Louisiana","otherGeospatial":"Southern Hills region","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.8951,30.3465],[-90.9063,30.3415],[-90.9846,30.3465],[-91.0106,30.337],[-91.025,30.3201],[-91.0461,30.317],[-91.0863,30.3199],[-91.1255,30.3127],[-91.1382,30.3169],[-91.1419,30.3237],[-91.3144,30.3246],[-91.3202,30.3443],[-91.3371,30.3526],[-91.3714,30.3874],[-91.3947,30.3956],[-91.3947,30.4094],[-91.4127,30.4322],[-91.4524,30.4743],[-91.4604,30.4707],[-91.4853,30.4972],[-91.5261,30.4972],[-91.5584,30.4885],[-91.5568,30.483],[-91.5818,30.4825],[-91.5839,30.4967],[-91.7568,30.4978],[-91.7525,30.5079],[-91.7324,30.5102],[-91.733,30.5203],[-91.7575,30.5628],[-91.7512,30.5994],[-91.7539,30.6176],[-91.7412,30.6327],[-91.7466,30.6588],[-91.7328,30.668],[-91.7366,30.6794],[-91.7335,30.7018],[-91.7581,30.7415],[-91.7565,30.7607],[-91.7688,30.7858],[-91.8089,30.8145],[-91.8041,30.8291],[-91.7977,30.8337],[-91.7978,30.8442],[-91.8154,30.8483],[-91.8202,30.8533],[-91.816,30.8634],[-91.8048,30.8639],[-91.8021,30.8721],[-91.8002,30.926],[-91.8063,30.9699],[-91.8041,30.9781],[-91.7807,30.9868],[-91.7728,31.0051],[-91.7504,31.0193],[-91.7211,31.0495],[-91.6987,31.045],[-91.6635,31.0451],[-91.649,31.0373],[-91.6447,31.0213],[-91.6575,31.0003],[-91.6622,30.9706],[-91.6553,30.9866],[-91.641,30.9985],[-89.7589,31.0021],[-89.7544,30.9958],[-89.7344,31.0034],[-89.7291,30.9878],[-89.735,30.9746],[-89.7284,30.9653],[-89.7393,30.9618],[-89.7561,30.9424],[-89.7504,30.9327],[-89.7527,30.9235],[-89.7464,30.9199],[-89.747,30.9157],[-89.7632,30.9087],[-89.7592,30.897],[-89.7726,30.8961],[-89.7699,30.8801],[-89.7793,30.8774],[-89.7684,30.8645],[-89.7748,30.8527],[-89.7824,30.8551],[-89.7904,30.8496],[-89.7892,30.8308],[-89.7835,30.8272],[-89.7853,30.8208],[-89.7869,30.8177],[-89.8034,30.8197],[-89.8015,30.8083],[-89.8149,30.8035],[-89.8177,30.7985],[-89.8048,30.7952],[-89.809,30.7892],[-89.8205,30.7903],[-89.8309,30.7792],[-89.8311,30.7653],[-89.8221,30.7396],[-89.8278,30.7349],[-89.8315,30.7216],[-89.8432,30.7153],[-89.8446,30.7052],[-89.8374,30.702],[-89.8374,30.6965],[-89.8422,30.6892],[-89.8422,30.6695],[-89.8492,30.6604],[-89.8327,30.6567],[-89.8194,30.6381],[-89.8179,30.6334],[-89.8293,30.6208],[-89.8184,30.6097],[-89.8204,30.6031],[-89.8149,30.5987],[-89.8166,30.5923],[-89.8098,30.589],[-89.8069,30.5729],[-89.7894,30.5689],[-89.7901,30.5654],[-89.8024,30.5623],[-89.7935,30.5549],[-89.7931,30.5476],[-89.7825,30.5456],[-89.7762,30.5391],[-89.772,30.5189],[-89.7604,30.5155],[-89.7561,30.5048],[-89.7422,30.4955],[-89.728,30.4926],[-89.7244,30.4852],[-89.6879,30.4543],[-89.679,30.4223],[-89.6837,30.4063],[-89.6601,30.3734],[-89.6565,30.36],[-89.6307,30.34],[-89.6302,30.3142],[-89.6377,30.3108],[-89.6446,30.2895],[-89.6362,30.2895],[-89.6309,30.2753],[-89.6326,30.2689],[-89.6266,30.264],[-89.631,30.2579],[-89.6154,30.2446],[-89.6132,30.2199],[-89.5948,30.2093],[-89.5748,30.1831],[-89.5592,30.1841],[-89.5351,30.196],[-89.5247,30.1847],[-89.5325,30.1786],[-89.5447,30.1822],[-89.5608,30.1781],[-89.5711,30.1708],[-89.5728,30.16],[-89.5883,30.1506],[-89.6158,30.1564],[-89.6256,30.1511],[-89.6306,30.1565],[-89.6548,30.1583],[-89.6798,30.1765],[-89.6899,30.1762],[-89.7172,30.1621],[-89.7314,30.167],[-89.7387,30.1772],[-89.7457,30.1773],[-89.7915,30.1508],[-89.8119,30.1557],[-89.819,30.1815],[-89.8631,30.1901],[-89.8753,30.1982],[-89.8985,30.1924],[-89.9888,30.1501],[-89.999,30.1491],[-90.0367,30.1719],[-90.0612,30.1751],[-90.1185,30.1953],[-90.1691,30.2037],[-90.2169,30.2198],[-90.2776,30.2306],[-90.2972,30.294],[-90.3199,30.2988],[-90.3337,30.2953],[-90.349,30.2973],[-90.373,30.2833],[-90.3841,30.2871],[-90.4016,30.2854],[-90.4838,30.2647],[-90.4998,30.2553],[-90.5299,30.2116],[-90.5618,30.1931],[-90.5824,30.1979],[-90.5996,30.2168],[-90.6123,30.2141],[-90.6181,30.2192],[-90.6323,30.2212],[-90.6465,30.2327],[-90.6598,30.2264],[-90.6636,30.2118],[-90.6694,30.2155],[-90.6779,30.2092],[-90.6733,30.1981],[-90.6851,30.1804],[-90.6941,30.175],[-90.704,30.1869],[-90.7093,30.1842],[-90.7198,30.1898],[-90.7228,30.2072],[-90.7355,30.2114],[-90.7312,30.2205],[-90.7416,30.2343],[-90.7585,30.2404],[-90.7696,30.2382],[-90.7742,30.2519],[-90.7874,30.257],[-90.791,30.2667],[-90.782,30.2753],[-90.7851,30.2808],[-90.7978,30.2836],[-90.8094,30.2769],[-90.8162,30.2906],[-90.8252,30.2953],[-90.8318,30.3195],[-90.8497,30.3302],[-90.8565,30.3417],[-90.8951,30.3465]]]},\"properties\":{\"name\":\"East Baton Rouge\",\"state\":\"LA\"}}]}","contact":"

Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd.
Suite 120
Baton Rouge, LA 70816
https://la.water.usgs.gov

","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-03-01","noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"58b7eb9be4b01ccd5500bacb","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":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":663048,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70169144,"text":"70169144 - 2017 - Re-Os systematics and age of pyrite associated with stratiform Zn-Pb mineralization in the Howards Pass district, Yukon and Northwest Territories, Canada","interactions":[],"lastModifiedDate":"2018-11-19T11:34:00","indexId":"70169144","displayToPublicDate":"2017-03-01T13:46:09","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Re-Os systematics and age of pyrite associated with stratiform Zn-Pb mineralization in the Howards Pass district, Yukon and Northwest Territories, Canada","docAbstract":"

Stratiform Zn-Pb deposits hosted in unmetamorphosed carbonaceous and siliceous mudstones of the Ordovician to Silurian Duo Lake Formation define the Howards Pass district in Yukon Territory and Northwest Territories, western Canada. Collectively, the deposits are amongst the largest in the world, containing drill-indicated and inferred resources of 423 Mt at 4.84 % Zn and 1.59 % Pb. Sulphide textures include (a) fine-scale laminations of sphalerite, galena, and pyrite from <0.05 mm to 1 cm thick, interbedded with carbonaceous sedimentary rock; (b) layers of coarse sulphide that are structurally controlled by microfolds; and (c) veins that cut bedding and sulphide laminations. The finely interlaminated nature of sulphides with mudstone has been used as evidence for syngenetic mineralizing processes, whereas paleomagnetic data determined on coarse layered sulphides suggest a Middle Jurassic age of mineralization. Here, we present new rhenium-osmium (Re-Os) isotopic data for 12 pyrite separates obtained from 4 laminated sulphide-rich samples from the XY Central (XYC) and Don (DON) deposits and for 1 unmineralized organic-rich mudstone ∼20 m stratigraphically below the sulphide-bearing zone. Pyrite separates that lack mudstone inclusions (“pure”) from the XYC deposit contain 2.2 to 4.0 ppb Re and 93.4 to 123.4 ppt Os; pure pyrite from the DON deposit is significantly more enriched in Re and Os (34–37 ppb Re; 636.8–694.9 ppt Os). The 187Re/188Os values of pure pyrite separates from the XYC and DON deposits range from 137.6 to 197 and 182.1 to 201.4, respectively. Regression of all pure pyrite Re-Os data from both deposits yields an isochron age of 442 ± 14 Ma (MSWD = 7.4) and an initial 187Os/188Os (Osi) value of 0.71 ± 0.07. The Re-Os age indicates that the early phase of pyrite precipitation (and by inference, sphalerite and galena) occurred during the early Silurian, consistent with biostratigraphic ages of the host rocks. The Osi value of ∼0.8 for earliest Silurian seawater recorded from organic-rich shale in the basal Silurian Global Stratotype Section and Point (GSSP) at Dobs Linn, Scotland is very similar to that provided by the Howards Pass pyrite regression and hence suggests a hydrogenous (seawater) source of Os for the pyrite. Therefore, two possible sources of Os are (1) the Zn- and Pb-bearing hydrothermal fluid that leached Os from footwall sedimentary rocks, which were deposited in seawater, or (2) directly from seawater during precipitation of the pyrite, which suggests that the Os content of the hydrothermal fluid was minor relative to that of seawater.

","language":"English","publisher":"Springer","doi":"10.1007/s00126-016-0663-y","usgsCitation":"Kelley, K.D., Selby, D., Falck, H., and Slack, J.F., 2017, Re-Os systematics and age of pyrite associated with stratiform Zn-Pb mineralization in the Howards Pass district, Yukon and Northwest Territories, Canada: Mineralium Deposita, v. 52, no. 3, p. 317-335, https://doi.org/10.1007/s00126-016-0663-y.","productDescription":"19 p.","startPage":"317","endPage":"335","ipdsId":"IP-068931","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":470028,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1380298","text":"External Repository"},{"id":356287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories, Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.968017578125,\n 62.32410603355886\n ],\n [\n -127.9248046875,\n 62.32410603355886\n ],\n [\n -127.9248046875,\n 63.027565805785244\n ],\n [\n -130.968017578125,\n 63.027565805785244\n ],\n [\n -130.968017578125,\n 62.32410603355886\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-30","publicationStatus":"PW","scienceBaseUri":"5b6fc720e4b0f5d57878ebc3","contributors":{"authors":[{"text":"Kelley, Karen D. kdkelley@usgs.gov","contributorId":431,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":623200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":623201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falck, Hendrik","contributorId":167705,"corporation":false,"usgs":false,"family":"Falck","given":"Hendrik","email":"","affiliations":[{"id":24811,"text":"NWT Geoscience Office, Yellowknife, Canada","active":true,"usgs":false}],"preferred":false,"id":623202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":623203,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198630,"text":"70198630 - 2017 - Walrus haul-out and in water activity levels relative to sea ice availability in the Chukchi Sea","interactions":[],"lastModifiedDate":"2019-06-11T11:43:29","indexId":"70198630","displayToPublicDate":"2017-03-01T13:27:06","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Walrus haul-out and in water activity levels relative to sea ice availability in the Chukchi Sea","docAbstract":"

An animal’s energetic costs are dependent on the amount of time it allocates to various behavioral activities. For Arctic pinnipeds, the time allocated to active and resting behaviors could change with future reductions in sea ice cover and longer periods of open water. The Pacific walrus (Odobenus rosmarus divergens) is a large Arctic pinniped that rests on sea ice or land between foraging trips to feed on the seafloor. We used behavioral data collected from radiotagged walruses in the Chukchi Sea (2008–2014) in a Bayesian generalized linear mixed effects model to estimate the probability a walrus was in water foraging, in water not foraging, or hauled out, as a function of environmental covariates. The probability of a walrus being in water increased with wind speed and decreased with air temperature, and the probability a walrus was foraging, given it was in water, increased with available benthic macrofaunal biomass. The probability of each behavior was also related to the nature and availability of haul-out substrates. The amount of time walruses spent in water foraging and hauled out was greatest when only sea ice was available, which typically occurs when walruses occupy feeding areas during summer and early autumn. This situation may be most energy efficient for walruses because it allows the highest proportion of in water energy expenditure to be allocated to foraging. Conversely, the amount of time walruses spent in water foraging and hauled out was lowest when only land was available, which typically occurs in late autumn, in years when walruses were constrained to land haul-outs because sea ice was absent over the continental shelf.

","language":"English","publisher":"Oxford","doi":"10.1093/jmammal/gyw195","usgsCitation":"Jay, C.V., Taylor, R.L., Fischbach, A., Udevitz, M.S., and Beatty, W.S., 2017, Walrus haul-out and in water activity levels relative to sea ice availability in the Chukchi Sea: Journal of Mammalogy, v. 98, no. 2, p. 386-396, https://doi.org/10.1093/jmammal/gyw195.","productDescription":"11 p.","startPage":"386","endPage":"396","ipdsId":"IP-076658","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470029,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw195","text":"Publisher Index Page"},{"id":438428,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XD0ZTG","text":"USGS data release","linkHelpText":"Walrus Haulout and In-water Activity Levels Relative to Sea Ice Availability in the Chukchi Sea: 2008-2014"},{"id":356409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chukchi Sea","volume":"98","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"5b98a47ee4b0702d0e843086","contributors":{"authors":[{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":742295,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197936,"text":"70197936 - 2017 - Climate change influences on pollinator, forest, and farm interactions across a climate gradient","interactions":[],"lastModifiedDate":"2018-08-07T12:10:57","indexId":"70197936","displayToPublicDate":"2017-03-01T12:10:50","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate change influences on pollinator, forest, and farm interactions across a climate gradient","docAbstract":"

Climate impact models are often implemented at horizontal resolutions (“scales”) too coarse to be readily applied in local impact assessments. However, recent advancements in fine-scale modeling are allowing the creation of impact models that can be applied to landscape-scale adaptation planning. Here, we illustrate the use of fine-scale impact models for landscape-scale adaptation planning of pollination services for six sites in Central America. The strategies include the identification of (1) potential reservoir areas that may retain bee diversity and serve as a source of recolonization after climate shocks such as droughts; and (2) potential restoration areas, where improving forest cover is likely to lead to increases in pollinator services both in the present and in the future. Coarse-scale (>1-km horizontal resolution) climatic controls on pollinator diversity and forest cover determine the general location of these areas in our six landscapes. Fine-scale (<100-m horizontal resolution) variation in climatic water deficit provides an index of forest health which can help identify intervention strategies within these zones. All sites have significant areas in which protecting or restoring forest cover is likely to enhance pollination services. The gradient in rainfall change across the study sites dictates choice of adaptation strategies.

","language":"English","publisher":"Springer","doi":"10.1007/s10584-016-1868-x","usgsCitation":"Hannah, L., Steele, M., Fung, E., Imbach, P., Flint, L.E., and Flint, A.L., 2017, Climate change influences on pollinator, forest, and farm interactions across a climate gradient: Climatic Change, v. 141, no. 1, p. 63-75, https://doi.org/10.1007/s10584-016-1868-x.","productDescription":"13 p.","startPage":"63","endPage":"75","ipdsId":"IP-070739","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-016-1868-x","text":"Publisher Index Page"},{"id":356279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5b6fc720e4b0f5d57878ebc5","contributors":{"authors":[{"text":"Hannah, Lee","contributorId":149715,"corporation":false,"usgs":false,"family":"Hannah","given":"Lee","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":739236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steele, Marc","contributorId":206041,"corporation":false,"usgs":false,"family":"Steele","given":"Marc","email":"","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":739237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fung, Emily","contributorId":206042,"corporation":false,"usgs":false,"family":"Fung","given":"Emily","email":"","affiliations":[{"id":37227,"text":"Tropical Agricultural Research and Higher Education Center, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":739238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Imbach, Pablo","contributorId":206043,"corporation":false,"usgs":false,"family":"Imbach","given":"Pablo","email":"","affiliations":[{"id":37228,"text":"Environmental Modeling Laboratory CATIE Costa Rica","active":true,"usgs":false}],"preferred":false,"id":739239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739240,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195947,"text":"70195947 - 2017 - Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt","interactions":[],"lastModifiedDate":"2018-03-09T10:17:08","indexId":"70195947","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt","docAbstract":"

Managing Lake Ontario fisheries in an ecosystem-context, requires reliable data on the status and trends of prey fishes that support predator populations. We report on the community and population dynamics of Lake Ontario pelagic prey fishes, based on bottom trawl surveys. We emphasize information that supports the international Lake Ontario Committee’s Fish Community Objectives. In 2016, 142 bottom trawls were collected in U.S. waters, and for the first time 46 trawls were conducted in Canadian waters. A total of 420,386 fish from 24 species were captured. Alewife were 89% of the total fish catch and 93% of the pelagic prey fish catch. The Rainbow Smelt abundance index in U.S. waters increased slightly in 2016 relative to 2015. Interestingly, the Rainbow Smelt abundance index from tows in Canadian waters was 35% higher than the U.S. index. Abundances of Threespine Stickleback and Emerald Shiners in both U.S. and Canadian waters were low in 2016 relative to their peak abundances in the late 1990s, but Cisco abundance indices suggest a recent increase in their abundance. This year, the reported Alewife abundance time series was truncated to only include values since 1997, which were collected with the same trawl and eliminated the need to adjust values for different trawls. The 2016 adult Alewife abundance index was the second lowest abundance ever observed in the time series. This value was expected to decline from the 2015 value since the indices of juvenile Alewife were low in 2014 and the lowest ever observed in 2015. The fall condition index of adult Alewife increased in 2016 and is consistent with lower abundance and reduced competition for zooplankton resources. The 2016 Age-1 Alewife index increased relative to 2014 and 2015, and suggested lake conditions were favorable for Age-1 survival and growth during the summer of 2015 and the 2015-2016 winter. Interestingly, the catch of adult and Age1 Alewife was higher in trawls conducted in Canadian waters relative to U. S. waters. The larger trawl catches in Canadian waters suggest there may be important spatial differences in lake-wide distribution of prey fishes in April when trawling is conducted. Future surveys should to continue to sample at the whole-lake scale to understand the year to year variability in spatial distribution and the physical or biotic factors driving those distribution differences.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NYSDEC Lake Ontario Annual Report 2016","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"New York State Department of Environmental Conservation","usgsCitation":"Weidel, B., Walsh, M., Connerton, M., and Holden, J.P., 2017, Trawl-based assessment of Lake Ontario pelagic prey fishes including Alewife and Rainbow Smelt, Section 12a; 13 p.","productDescription":"Section 12a; 13 p.","ipdsId":"IP-086005","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352347,"type":{"id":11,"text":"Document"},"url":"https://www.dec.ny.gov/docs/fish_marine_pdf/lorpt16.pdf"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.0189208984375,\n 43.177141346631714\n ],\n [\n -76.0528564453125,\n 43.177141346631714\n ],\n [\n -76.0528564453125,\n 44.288469027276506\n ],\n [\n -80.0189208984375,\n 44.288469027276506\n ],\n [\n -80.0189208984375,\n 43.177141346631714\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8b9e4b0da30c1bfc492","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":730645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":730646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael J.","contributorId":190416,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[],"preferred":false,"id":730647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy P.","contributorId":190415,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":730648,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192067,"text":"70192067 - 2017 - Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","interactions":[],"lastModifiedDate":"2017-10-19T15:54:15","indexId":"70192067","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","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}},"displayTitle":"Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","title":"Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus","docAbstract":"

Amphibians may experience collateral effects if exposed to CFT Legumine (5% rotenone), a piscicide that is used to remove invasive fish. A series of 48-h static toxicity tests assessed the acute effects of CFT Legumine on multi-aged tadpoles of the federally listed Chiricahua leopard frog Lithobates chiricahuensis, the widespread northern leopard frog L. pipiens, and the increasingly invasive American bullfrog L. catesbeianus. At the earliest Gosner stages (GS 21–25), Chiricahua leopard frogs were more sensitive to CFT Legumine (median lethal concentration [LC50] = 0.41–0.58 mg/L) than American bullfrogs (LC50 = 0.63–0.69 mg/L) and northern leopard frogs (LC50 = 0.91 and 1.17 mg/L). As tadpoles developed (i.e., increase in GS), their sensitivity to rotenone decreased. In a separate series of 48-h static nonrenewal toxicity tests, tadpoles (GS 21–25 and GS 31–36) of all three species were exposed to piscicidal concentrations of CFT Legumine (0.5, 1.0, and 2.0 mg/L) to assess postexposure effects on metamorphosis. In survivors of all three species at both life stages, the time to tail resorption was nearly doubled in comparison with that of controls. For example, mid-age (GS 31–36) Chiricahua leopard frog tadpoles required 210.7 h to complete tail resorption, whereas controls required 108.5 h. However, because tail resorption is a relatively short period in metamorphosis, the total duration of development (days from posthatch to complete metamorphosis) and the final weight did not differ in either age-group surviving nominal concentrations of 0.5-, 1.0-, and 2.0-mg/L CFT Legumine relative to controls. This research demonstrates that the CFT Legumine concentrations commonly used in field applications to remove unwanted fish could result in considerable mortality of the earliest stages of Lithobates species. In addition to acute lethality, piscicide treatments may result in delayed tail resorption, which places the tadpoles at risk by increasing their vulnerability to predation and pathogens.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1285355","usgsCitation":"Alvarez, G., Caldwell, C.A., and Kruse, C.G., 2017, Effects of CFT Legumine (5% Rotenone) on tadpole survival and metamorphosis of Chiricahua leopard frogs Lithobates chiricahuensis, Northern leopard frogs L. pipiens, and American bullfrogs L. catesbeianus: Transactions of the American Fisheries Society, v. 146, no. 3, p. 512-522, https://doi.org/10.1080/00028487.2017.1285355.","productDescription":"11 p.","startPage":"512","endPage":"522","ipdsId":"IP-074191","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-30","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65caa","contributors":{"authors":[{"text":"Alvarez, Guillermo","contributorId":197741,"corporation":false,"usgs":false,"family":"Alvarez","given":"Guillermo","email":"","affiliations":[],"preferred":false,"id":714186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kruse, Carter G.","contributorId":58545,"corporation":false,"usgs":true,"family":"Kruse","given":"Carter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":714187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190053,"text":"70190053 - 2017 - Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","interactions":[],"lastModifiedDate":"2017-08-08T10:52:14","indexId":"70190053","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","docAbstract":"

An uncommon coastal sedimentary record combines evidence for seismic shaking and coincident tsunami inundation since AD 1000 in the region of the largest earthquake recorded instrumentally: the giant 1960 southern Chile earthquake (Mw 9.5). The record reveals significant variability in the size and recurrence of megathrust earthquakes and ensuing tsunamis along this part of the Nazca-South American plate boundary. A 500-m long coastal outcrop on Isla Chiloé, midway along the 1960 rupture, provides continuous exposure of soil horizons buried locally by debris-flow diamicts and extensively by tsunami sand sheets. The diamicts flattened plants that yield geologically precise ages to correlate with well-dated evidence elsewhere. The 1960 event was preceded by three earthquakes that probably resembled it in their effects, in AD 898 - 1128, 1300 - 1398 and 1575, and by five relatively smaller intervening earthquakes. Earthquakes and tsunamis recurred exceptionally often between AD 1300 and 1575. Their average recurrence interval of 85 years only slightly exceeds the time already elapsed since 1960. This inference is of serious concern because no earthquake has been anticipated in the region so soon after the 1960 event, and current plate locking suggests that some segments of the boundary are already capable of producing large earthquakes. This long-term earthquake and tsunami history of one of the world's most seismically active subduction zones provides an example of variable rupture mode, in which earthquake size and recurrence interval vary from one earthquake to the next.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.12.007","usgsCitation":"Cisternas, M., Garrett, E., Wesson, R.L., Dura, T., and Ely, L.L., 2017, Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake: Marine Geology, v. 385, no. 1 March 2017, p. 101-113, https://doi.org/10.1016/j.margeo.2016.12.007.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-083320","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470047,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/file/1364141/1/Accepted%20Journal%20Article","text":"External Repository"},{"id":344645,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://ars.els-cdn.com/content/image/1-s2.0-S0025322716X00138-cov150h.gif"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.619140625,\n -43.46089378008257\n ],\n [\n -73.19091796875,\n -43.46089378008257\n ],\n [\n -73.19091796875,\n -41.73033005046652\n ],\n [\n -74.619140625,\n -41.73033005046652\n ],\n [\n -74.619140625,\n -43.46089378008257\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"385","issue":"1 March 2017","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598acddce4b09fa1cb0e13db","contributors":{"authors":[{"text":"Cisternas, M.","contributorId":193403,"corporation":false,"usgs":false,"family":"Cisternas","given":"M.","email":"","affiliations":[],"preferred":false,"id":707338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrett, E","contributorId":195524,"corporation":false,"usgs":false,"family":"Garrett","given":"E","email":"","affiliations":[],"preferred":false,"id":707339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dura, T.","contributorId":193399,"corporation":false,"usgs":false,"family":"Dura","given":"T.","affiliations":[],"preferred":false,"id":707341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, L. L","contributorId":193400,"corporation":false,"usgs":false,"family":"Ely","given":"L.","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":707342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186677,"text":"70186677 - 2017 - The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches","interactions":[],"lastModifiedDate":"2017-04-07T10:12:20","indexId":"70186677","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches","docAbstract":"

To better understand how individual processes combine to cause flooding and erosion events, we investigate the relative contribution of tides, waves, and nontidal residuals to extreme total water levels (TWLs) at the shoreline of U.S. West Coast sandy beaches. Extreme TWLs, defined as the observed annual maximum event and the simulated 100 year return level event, peak in Washington, and are on average larger in Washington and Oregon than in California. The relative contribution of wave-induced and still water levels (SWL) to the 100 year TWL event is similar to that of the annual maximum event; however, the contribution of storm surge to the SWL doubles across events. Understanding the regional variability of TWLs will lead to a better understanding of how sea level rise, changes in storminess, and possible changes in the frequency of major El Niños may impact future coastal flooding and erosion along the U.S. West Coast and elsewhere.

","language":"English","publisher":"AGU","doi":"10.1002/2016GL071020","usgsCitation":"Serafin, K.A., Ruggiero, P., and Stockdon, H.F., 2017, The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches: Geophysical Research Letters, v. 44, no. 4, p. 1839-1847, https://doi.org/10.1002/2016GL071020.","productDescription":"9 p.","startPage":"1839","endPage":"1847","ipdsId":"IP-079475","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071020","text":"Publisher Index Page"},{"id":339393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.3876953125,\n 49.009050809382046\n ],\n [\n -125.46386718749999,\n 48.63290858589535\n ],\n [\n -125.1123046875,\n 46.13417004624326\n ],\n [\n -125.5078125,\n 42.87596410238256\n ],\n [\n -125.068359375,\n 39.9434364619742\n ],\n [\n -123.1787109375,\n 36.59788913307022\n ],\n [\n -120.9375,\n 34.23451236236987\n ],\n [\n -118.125,\n 32.54681317351514\n ],\n [\n -115.7080078125,\n 32.58384932565662\n ],\n [\n -116.8505859375,\n 34.05265942137599\n ],\n [\n -120.89355468749999,\n 37.16031654673677\n ],\n [\n -122.29980468749999,\n 41.0130657870063\n ],\n [\n -122.3876953125,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-18","publicationStatus":"PW","scienceBaseUri":"58e8a542e4b09da6799d63a3","contributors":{"authors":[{"text":"Serafin, Katherine A.","contributorId":84466,"corporation":false,"usgs":true,"family":"Serafin","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":690255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192616,"text":"70192616 - 2017 - The basis function approach for modeling autocorrelation in ecological data","interactions":[],"lastModifiedDate":"2017-11-10T11:17:00","indexId":"70192616","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The basis function approach for modeling autocorrelation in ecological data","docAbstract":"

Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many seemingly disparate statistical methods used to account for autocorrelation can be expressed as regression models that include basis functions. Basis functions also enable ecologists to modify a wide range of existing ecological models in order to account for autocorrelation, which can improve inference and predictive accuracy. Furthermore, understanding the properties of basis functions is essential for evaluating the fit of spatial or time-series models, detecting a hidden form of collinearity, and analyzing large data sets. We present important concepts and properties related to basis functions and illustrate several tools and techniques ecologists can use when modeling autocorrelation in ecological data.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1674","usgsCitation":"Hefley, T.J., Broms, K.M., Brost, B.M., Buderman, F.E., Kay, S.L., Scharf, H., Tipton, J., Williams, P.J., and Hooten, M., 2017, The basis function approach for modeling autocorrelation in ecological data: Ecology, v. 98, no. 3, p. 632-646, https://doi.org/10.1002/ecy.1674.","productDescription":"15 p.","startPage":"632","endPage":"646","ipdsId":"IP-070118","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470033,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1606.05658","text":"External Repository"},{"id":348572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cfe4b09af898c86138","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Broms, Kristin M.","contributorId":171524,"corporation":false,"usgs":false,"family":"Broms","given":"Kristin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buderman, Frances E.","contributorId":171634,"corporation":false,"usgs":false,"family":"Buderman","given":"Frances","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kay, Shannon L.","contributorId":193049,"corporation":false,"usgs":false,"family":"Kay","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721578,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scharf, Henry","contributorId":200238,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","affiliations":[],"preferred":false,"id":721579,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":721580,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721581,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716562,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70193644,"text":"70193644 - 2017 - Who knew? First Myotis sodalis (Indiana Bat) maternity colony in the coastal plain of Virginia","interactions":[],"lastModifiedDate":"2017-11-05T22:00:33","indexId":"70193644","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Who knew? First Myotis sodalis (Indiana Bat) maternity colony in the coastal plain of Virginia","title":"Who knew? First Myotis sodalis (Indiana Bat) maternity colony in the coastal plain of Virginia","docAbstract":"

We report the first confirmed Myotis sodalis (Indiana Bat) maternity colony in Virginia, discovered at Fort A.P. Hill Military Reservation in Caroline County along the Piedmont-Coastal Plain Fall Line. Acoustic surveys conducted in 2014 indicated likely presence of Indiana Bats on the installation. Subsequent focal mist-netting during May–June 2015 resulted in capture of 4 lactating females that we subsequently radio tracked to a maternity colony site containing at least 20 individuals. The core roosting-area was comprised of Pinus taeda (Loblolly Pine) snags with abundant exfoliating bark and high solar exposure. This forest patch was adjacent to a large emergentshrub wetland and within a larger matrix of mature, mid-Atlantic hardwood forests. The site where we found the colony location is 140 km east of the nearest known hibernaculum and is outside of the previously documented extent of this species' occurrence.

","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.024.0110","usgsCitation":"St. Germain, M.J., Kniowski, A.B., Silvis, A., and Ford, W.M., 2017, Who knew? First Myotis sodalis (Indiana Bat) maternity colony in the coastal plain of Virginia: Northeastern Naturalist, v. 24, no. 1, p. N5-N10, https://doi.org/10.1656/045.024.0110.","productDescription":"6 p.","startPage":"N5","endPage":"N10","ipdsId":"IP-076231","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","volume":"24","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a003150e4b0531197b5a74a","contributors":{"authors":[{"text":"St. Germain, Michael J.","contributorId":25959,"corporation":false,"usgs":false,"family":"St. Germain","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":719732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":720413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":720414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":720415,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192844,"text":"70192844 - 2017 - Assessment of contemporary genetic diversity and inter-taxa/inter-region exchange of avian paramyxovirus serotype 1 in wild birds sampled in North America","interactions":[],"lastModifiedDate":"2017-11-01T16:56:42","indexId":"70192844","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of contemporary genetic diversity and inter-taxa/inter-region exchange of avian paramyxovirus serotype 1 in wild birds sampled in North America","docAbstract":"

Background

Avian paramyxovirus serotype 1 (APMV-1) viruses are globally distributed, infect wild, peridomestic, and domestic birds, and sometimes lead to outbreaks of disease. Thus, the maintenance, evolution, and spread of APMV-1 viruses are relevant to avian health.

Methods

In this study we sequenced the fusion gene from 58 APMV-1 isolates recovered from thirteen species of wild birds sampled throughout the USA during 2007–2014. We analyzed sequence information with previously reported data in order to assess contemporary genetic diversity and inter-taxa/inter-region exchange of APMV-1 in wild birds sampled in North America.

Results

Our results suggest that wild birds maintain previously undescribed genetic diversity of APMV-1; however, such diversity is unlikely to be pathogenic to domestic poultry. Phylogenetic analyses revealed that APMV-1 diversity detected in wild birds of North America has been found in birds belonging to numerous taxonomic host orders and within hosts inhabiting multiple geographic regions suggesting some level of viral exchange. However, our results also provide statistical support for associations between phylogenetic tree topology and host taxonomic order/region of sample origin which supports restricted exchange among taxa and geographical regions of North America for some APMV-1 sub-genotypes.

Conclusions

We identify previously unrecognized genetic diversity of APMV-1 in wild birds in North America which is likely a function of continued viral evolution in reservoir hosts. We did not, however, find support for the emergence or maintenance of APMV-1 strains predicted to be pathogenic to poultry in wild birds of North America outside of the order Suliformes (i.e., cormorants). Furthermore, genetic evidence suggests that ecological drivers or other mechanisms may restrict viral exchange among taxa and regions of North America. Additional and more systematic sampling for APMV-1 in North America would likely provide further inference on viral dynamics for this infectious agent in wild bird populations.

","language":"English","publisher":"BioMed Central","doi":"10.1186/s12985-017-0714-8","usgsCitation":"Ramey, A.M., Goraichuk, I.V., Hicks, J.T., Dimitrov, K.M., Poulson, R., Stallknecht, D.E., Bahl, J., and Afonso, C.L., 2017, Assessment of contemporary genetic diversity and inter-taxa/inter-region exchange of avian paramyxovirus serotype 1 in wild birds sampled in North America: Virology Journal, v. 14, p. 1-12, https://doi.org/10.1186/s12985-017-0714-8.","productDescription":"Article 43; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-082389","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470039,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12985-017-0714-8","text":"Publisher Index Page"},{"id":438430,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MP51GP","text":"USGS data release","linkHelpText":"Assessment of Contemporary Genetic Diversity and Inter-Taxa/Inter-Region Exchange of Avian Paramyxovirus Serotype 1 in Wild Birds Sampled in North America, 1986-2014"},{"id":348060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"59fadd24e4b0531197b13cb2","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goraichuk, Iryna V.","contributorId":198805,"corporation":false,"usgs":false,"family":"Goraichuk","given":"Iryna","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":717163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, Joseph T.","contributorId":198806,"corporation":false,"usgs":false,"family":"Hicks","given":"Joseph","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":717164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dimitrov, Kiril M.","contributorId":176311,"corporation":false,"usgs":false,"family":"Dimitrov","given":"Kiril","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":717166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":717167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bahl, Justin","contributorId":171803,"corporation":false,"usgs":false,"family":"Bahl","given":"Justin","affiliations":[{"id":26950,"text":"University of Texas School of Public Health, 1200 Pressler Street, Houston, TX 77030, USA","active":true,"usgs":false}],"preferred":false,"id":717168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Afonso, Claudio L.","contributorId":171954,"corporation":false,"usgs":false,"family":"Afonso","given":"Claudio","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":717169,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185031,"text":"70185031 - 2017 - Relations of alpine plant communities across environmental gradients: Multilevel versus multiscale analyses","interactions":[],"lastModifiedDate":"2017-03-14T12:20:25","indexId":"70185031","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":797,"text":"Annals of the Association of American Geographers","active":true,"publicationSubtype":{"id":10}},"title":" Relations of alpine plant communities across environmental gradients: Multilevel versus multiscale analyses","docAbstract":"

Alpine plant communities vary, and their environmental covariates could influence their response to climate change. A single multilevel model of how alpine plant community composition is determined by hierarchical relations is compared to a separate examination of those relations at different scales. Nonmetric multidimensional scaling of species cover for plots in four regions across the Rocky Mountains created dependent variables. Climate variables are derived for the four regions from interpolated data. Plot environmental variables are measured directly and the presence of thirty-seven site characteristics is recorded and used to create additional independent variables. Multilevel and best subsets regressions are used to determine the strength of the hypothesized relations. The ordinations indicate structure in the assembly of plant communities. The multilevel analyses, although revealing significant relations, provide little explanation; of the site variables, those related to site microclimate are most important. In multiscale analyses (whole and separate regions), different variables are better explanations within the different regions. This result indicates weak environmental niche control of community composition. The weak relations of the structure in the patterns of species association to the environment indicates that either alpine vegetation represents a case of the neutral theory of biogeography being a valid explanation or that it represents disequilibrium conditions. The implications of neutral theory and disequilibrium explanations are similar: Response to climate change will be difficult to quantify above equilibrium background turnover.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24694452.2016.1218267","usgsCitation":"Malanson, G.P., Zimmerman, D.L., Kinney, M., and Fagre, D.B., 2017, Relations of alpine plant communities across environmental gradients: Multilevel versus multiscale analyses: Annals of the Association of American Geographers, v. 107, no. 1, p. 41-53, https://doi.org/10.1080/24694452.2016.1218267.","productDescription":"13 p.","startPage":"41","endPage":"53","ipdsId":"IP-071596","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":337500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-28","publicationStatus":"PW","scienceBaseUri":"58c90123e4b0849ce97abcba","contributors":{"authors":[{"text":"Malanson, George P.","contributorId":189162,"corporation":false,"usgs":false,"family":"Malanson","given":"George","email":"","middleInitial":"P.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":684012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Dale L.","contributorId":166811,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Dale","email":"","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":684010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinney, Mitch","contributorId":189163,"corporation":false,"usgs":false,"family":"Kinney","given":"Mitch","email":"","affiliations":[],"preferred":false,"id":684013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":684011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192028,"text":"70192028 - 2017 - Spatial and temporal genetic analysis of Walleyes in the Ohio River","interactions":[],"lastModifiedDate":"2017-10-24T13:36:42","indexId":"70192028","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","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":"Spatial and temporal genetic analysis of Walleyes in the Ohio River","docAbstract":"

Previous genetic analyses have shown that Walleyes Sander vitreus in the upper Ohio River comprise two distinct genetic strains: (1) fish of Great Lakes origin that were stocked into the Ohio River basin and (2) a remnant native strain (Highlands strain). Resource agencies are developing management strategies to conserve and restore the native strain within the upper reaches of the Ohio River. Hybridization between strains has impacted the genetic integrity of the native strain. To better understand the extent and effects of hybridization on the native strain, we used mitochondrial DNA and microsatellite markers to evaluate the spatial (river sections) and temporal (pre- and poststocking) genetic diversity of Ohio River Walleyes. Contemporary Lake Erie Walleyes and archival museum specimens collected from the Ohio River basin were used for comparison to contemporary Ohio River samples. Although there was evidence of hybridization between strains, most of the genetic diversity within the Ohio River was partitioned by basin of origin (Great Lakes versus the Ohio River), with greater similarity among river sections than between strains within the same section. Results also suggested that the native strain has diverged from historical populations. Furthermore, notable decreases in measures of genetic diversity and increased relatedness among native-strain Walleyes within two sections of the Ohio River may be related to stocking aimed at restoration of the Highlands strain. Our results suggest that although the Highlands strain persists within the Ohio River, it has diverged over time, and managers should consider the potential impacts of future management practices on the genetic diversity of this native strain.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1360393","usgsCitation":"Page, K.S., Zweifela, R.D., and Stott, W., 2017, Spatial and temporal genetic analysis of Walleyes in the Ohio River: Transactions of the American Fisheries Society, v. 146, no. 6, p. 1168-1185, https://doi.org/10.1080/00028487.2017.1360393.","productDescription":"18 p.","startPage":"1168","endPage":"1185","ipdsId":"IP-086394","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":347241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Ohio River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.36376953125,\n 38.298559092254344\n ],\n [\n -79.793701171875,\n 38.298559092254344\n ],\n [\n -79.793701171875,\n 40.94671366508002\n ],\n [\n -85.36376953125,\n 40.94671366508002\n ],\n [\n -85.36376953125,\n 38.298559092254344\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1d9d","contributors":{"authors":[{"text":"Page, Kevin S.","contributorId":49318,"corporation":false,"usgs":true,"family":"Page","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zweifela, Richard D.","contributorId":59322,"corporation":false,"usgs":true,"family":"Zweifela","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":713879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Wendylee wstott@usgs.gov","contributorId":3763,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":713877,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}