The crater lake of Kawah Ijen volcano, East Java, Indonesia, has displayed large and rapid changes in temperature at point locations during periods of unrest, but measurement techniques employed to-date have not resolved how the lake’s thermal regime has evolved over both space and time. We applied a novel approach for mapping and monitoring variations in crater-lake apparent surface (“skin”) temperatures at high spatial (~32 cm) and temporal (every two minutes) resolution at Kawah Ijen on 18 September 2014. We used a ground-based FLIR T650sc camera with digital and thermal infrared (TIR) sensors from the crater rim to collect (1) a set of visible imagery around the crater during the daytime and (2) a time series of co-located visible and TIR imagery at one location from pre-dawn to daytime. We processed daytime visible imagery with the Structure-from-Motion photogrammetric method to create a digital elevation model onto which the time series of TIR imagery was orthorectified and georeferenced. Lake apparent skin temperatures typically ranged from ~21 to 33oC. At two locations, apparent skin temperatures were ~ 4 and 7 oC less than in-situ lake temperature measurements at 1.5 and 5 m depth, respectively. These differences, as well as the large spatio-temporal variations observed in skin temperatures, were likely largely associated with atmospheric effects such as evaporative cooling of the lake surface and infrared absorption by water vapor and SO2. Calculations based on orthorectified TIR imagery thus yielded underestimates of volcanic heat fluxes into the lake, whereas volcanic heat fluxes estimated based on in-situ temperature measurements (68 to 111 MW) were likely more representative of Kawah Ijen in a quiescent state. The ground-based imaging technique should provide a valuable tool to continuously monitor crater-lake temperatures and contribute insight into the spatio-temporal evolution of these temperatures associated with volcanic activity.
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U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov
Using a geology-based assessment methodology, the U.S. Geological Survey assessed technically recoverable mean resources of 13 million barrels of oil, 22 billion cubic feet of gas, and 1 million barrels of natural gas liquids in the Monterey Formation of the Los Angeles Basin Province, California.
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U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov
Using a geology-based assessment methodology, the U.S. Geological Survey assessed mean resources of 5 trillion cubic feet of gas and 187 million barrels of natural gas liquids in tight-gas assessment units in the Canyon sandstones of the Val Verde Basin, Texas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163039","usgsCitation":"Schenk, C.J., Tennyson, M.E., Klett, T.R., Mercier, T.J., Brownfield, M.E., Gaswirth, S.B., Hawkins, S.J., Leathers-Miller, H.M., Marra, K.R., Finn, T.M., and Pitman, J.K., 2016, Assessment of tight-gas resources in Canyon sandstones of the Val Verde Basin, Texas, 2016: U.S. Geological Survey Fact Sheet 2016–3039, 2 p., https://dx.doi.org/10.3133/fs20163039.","productDescription":"2 p.","startPage":"1","endPage":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074334","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":438593,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X928DJ","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Permian Basin Province, Val Verde Basin, Canyon Sandstones Assessment Units"},{"id":324414,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3039/coverthb.jpg"},{"id":324415,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3039/fs20163039.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3039"}],"country":"United States","state":"Texas","otherGeospatial":"Val Verde Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.94238281249999,\n 29.6594160549124\n ],\n [\n -101.392822265625,\n 30.24957724046765\n ],\n [\n -101.524658203125,\n 30.4297295750316\n ],\n [\n -101.810302734375,\n 30.496017831341284\n ],\n [\n -102.0849609375,\n 30.609549797190844\n ],\n [\n -102.117919921875,\n 30.798474179567823\n ],\n [\n -102.117919921875,\n 30.996445897426373\n ],\n [\n -101.920166015625,\n 31.09998179374943\n ],\n [\n -101.612548828125,\n 31.09998179374943\n ],\n [\n -101.3818359375,\n 31.015278981711266\n ],\n [\n -100.821533203125,\n 30.826780904779774\n ],\n [\n -100.37109375,\n 30.5717205651999\n ],\n [\n -100.17333984375,\n 30.543338954230222\n ],\n [\n -99.86572265625,\n 30.741835717889792\n ],\n [\n -99.525146484375,\n 31.09998179374943\n ],\n [\n -99.25048828124999,\n 31.31610138349565\n ],\n [\n -98.87695312499999,\n 31.372399104880525\n ],\n [\n -98.184814453125,\n 31.13760327002129\n ],\n [\n -98.052978515625,\n 30.92107637538488\n ],\n [\n -97.9541015625,\n 30.713503990354965\n ],\n [\n -97.767333984375,\n 30.401306519203583\n ],\n [\n -97.8662109375,\n 30.012030680358613\n ],\n [\n -98.15185546874999,\n 29.77391386999227\n ],\n [\n -98.6572265625,\n 29.57345707301757\n ],\n [\n -99.140625,\n 29.420460341013133\n ],\n [\n -99.54711914062499,\n 29.34387539941801\n ],\n [\n -100.45898437499999,\n 29.334298230315675\n ],\n [\n -100.94238281249999,\n 29.6594160549124\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov
The Cape Sable Seaside Sparrow (Ammodramus maritimus mirabilis; hereafter sparrow) is endemic to south Florida and a key indicator species of marl prairie, the most diverse freshwater community in the Florida Everglades. Marl prairie habitat is shaped by intermediate levels of disturbances such as flooding, drying, and fire, which maintain periphyton production (Gaiser et al. 2011), vegetation composition (Sah et al. 2011), and habitat structure for wildlife (Lockwood et al. 2003). Historically, patches of marl prairie shifted in response to changing climatic conditions,; however, habitat loss and hydrologic alteration have restricted the sparrow’s range and increased their sensitivity to changing hydropatterns. As a result, sparrow numbers have declined as much as 60% range-wide since 1992 (Curnutt et al. 1998, Nott et al. 1998). Currently, the sparrow is restricted to the freshwater prairies of the Everglades National Park (ENP) and Big Cypress Preserve (Lockwood et al. 1997). Because this non-migratory bird is restricted in its range it was among the first species to be listed as endangered by the US Fish and Wildlife Service on March 11, 1967 (Pimm et al. 2000). Now protected by the Endangered Species Act of 1973, the sparrow is listed as an endangered species, and the marl prairies that it resides in are listed as critical habitat. Since its designation as an endangered species, federal agencies have a statutory obligation to not jeopardize the survival of the species or modify its critical habitat. However, there are still uncertainties in how to increase suitable habitat within and surrounding the six existing sparrow subpopulations (Fig. 1) which are vulnerable to environmental stochasticity because of their small population size and restricted range. Since Because maintenance and creation of suitable habitat is seen as the most important pathway to the persistence of sparrow subpopulations (Sustainable Ecosystems Institute 2007), emphasis should be on identifying factors affecting sparrow habitat suitability and expanding the total area of suitable habitat over a gradient of environmental conditions. Our objective is to improve the definition of suitable sparrow habitat based on the relationship between daily sparrow distributions from 1992-present and hydrologic and habitat variables. Further, these models can provide an estimate of habitat quality when linked with estimates of reproductive responses.
","largerWorkTitle":"Report to the U.S. Fish and Wildlife Service","language":"English","usgsCitation":"Beerens, J.M., and Romanach, S.S., 2016, Using Cape Sable seaside sparrow distribution data for water management decision support, 20 p.","productDescription":"20 p.","startPage":"1","endPage":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073857","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":325061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5784c347e4b0e02680be59fa","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":626225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":626226,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175023,"text":"70175023 - 2016 - Ichthyophonus parasite phylogeny based on ITS rDNA structure prediction and alignment identifies six clades, with a single dominant marine type","interactions":[],"lastModifiedDate":"2016-07-27T08:21:35","indexId":"70175023","displayToPublicDate":"2016-07-07T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Ichthyophonus parasite phylogeny based on ITS rDNA structure prediction and alignment identifies six clades, with a single dominant marine type","docAbstract":"Despite their widespread, global impact in both wild and cultured fishes, little is known of the diversity, transmission patterns, and phylogeography of parasites generally identified as Ichthyophonus. This study constructed a phylogeny based on the structural alignment of internal transcribed spacer (ITS) rDNA sequences to compare Ichthyophonus isolates from fish hosts in the Atlantic and Pacific oceans, and several rivers and aquaculture sites in North America, Europe, and Japan. Structure of the Ichthyophonus ITS1–5.8S–ITS2 transcript exhibited several homologies with other eukaryotes, and 6 distinct clades were identified within Ichthyophonus. A single clade contained a majority (71 of 98) of parasite isolations. This ubiquitous Ichthyophonus type occurred in 13 marine and anadromous hosts and was associated with epizootics in Atlantic herring, Chinook salmon, and American shad. A second clade contained all isolates from aquaculture, despite great geographic separation of the freshwater hosts. Each of the 4 remaining clades contained isolates from single host species. This study is the first to evaluate the genetic relationships among Ichthyophonus species across a significant portion of their host and geographic range. Additionally, parasite infection prevalence is reported in 16 fish species.
","language":"English","publisher":"Inter-Research","doi":"10.3354/dao03017","usgsCitation":"Gregg, J., Thompson, R.L., Purcell, M.K., Friedman, C., and Hershberger, P., 2016, Ichthyophonus parasite phylogeny based on ITS rDNA structure prediction and alignment identifies six clades, with a single dominant marine type: Diseases of Aquatic Organisms, v. 120, no. 2, p. 125-141, https://doi.org/10.3354/dao03017.","productDescription":"16 p.","startPage":"125","endPage":"141","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075659","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":325683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5799db2de4b0589fa1c7e654","contributors":{"authors":[{"text":"Gregg, Jacob jgregg@usgs.gov","contributorId":140132,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Rachel L. 0000-0001-6901-4361 rlthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-6901-4361","contributorId":5707,"corporation":false,"usgs":true,"family":"Thompson","given":"Rachel","email":"rlthompson@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Carolyn S.","contributorId":13890,"corporation":false,"usgs":true,"family":"Friedman","given":"Carolyn S.","affiliations":[],"preferred":false,"id":643631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175124,"text":"70175124 - 2016 - Geologic context of recurring slope lineae in Melas and Coprates Chasmata, Mars","interactions":[],"lastModifiedDate":"2018-11-01T14:48:59","indexId":"70175124","displayToPublicDate":"2016-07-07T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Geologic context of recurring slope lineae in Melas and Coprates Chasmata, Mars","docAbstract":"One of the major Mars discoveries of recent years is the existence of recurring slope lineae (RSL), which suggests that liquid water occurs on or near the surface of Mars today. These dark and narrow features emerge from steep, rocky exposures and incrementally grow, fade, and reform on a seasonal basis and are detected in images from the High Resolution Imaging Science Experiment camera. RSL are known to occur at scattered midlatitude and equatorial sites with little spatial connection to one another. One major exception is the steep, low-albedo slopes of Melas and Coprates Chasmata, in Valles Marineris where RSL are detected among diverse geologic surfaces (e.g., bedrock and talus) and landforms (e.g., inselbergs and landslides). New images show topographic changes including sediment deposition on active RSL slopes. Midwall locations in Coprates and Melas appear to have more areally extensively abundant RSL and related fans as compared with other RSL sites found on Mars. Water budget estimates for regional RSL are on the order of 105 to 106 m3 of fluid, for depths of 10 to 100mm, and suggest that a significant amount of near-surface watermight be present. Many RSL are concentrated near local topographic highs, such as ridge crests or peaks, which is challenging to explain via groundwater or ice without a recharge mechanism. Collectively, results provide additional support for the notion that significant amounts of near-surface water can be found on Mars today and suggest that a widespread mechanism, possibly related to the atmosphere, is recharging RSL sources.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015JE004991","usgsCitation":"Chojnacki, M., McEwen, A., Dundas, C.M., Ojha, L., Urso, A., and Sutton, S., 2016, Geologic context of recurring slope lineae in Melas and Coprates Chasmata, Mars: Journal of Geophysical Research E: Planets, v. 121, p. 1-28, https://doi.org/10.1002/2015JE004991.","productDescription":"28 p.","startPage":"1","endPage":"28","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071262","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":325844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-07","publicationStatus":"PW","scienceBaseUri":"579c7e2be4b0589fa1ca11db","contributors":{"authors":[{"text":"Chojnacki, Matthew","contributorId":96576,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Matthew","affiliations":[],"preferred":false,"id":644022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred","contributorId":59723,"corporation":false,"usgs":true,"family":"McEwen","given":"Alfred","affiliations":[],"preferred":false,"id":644023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":644021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ojha, Lujendra","contributorId":64933,"corporation":false,"usgs":true,"family":"Ojha","given":"Lujendra","affiliations":[],"preferred":false,"id":644024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Urso, Anna","contributorId":173270,"corporation":false,"usgs":false,"family":"Urso","given":"Anna","email":"","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":644025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sutton, Sarah","contributorId":173271,"corporation":false,"usgs":false,"family":"Sutton","given":"Sarah","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":644026,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70174292,"text":"70174292 - 2016 - M≥7 Earthquake rupture forecast and time-dependent probability for the Sea of Marmara region, Turkey","interactions":[],"lastModifiedDate":"2016-07-07T12:07:38","indexId":"70174292","displayToPublicDate":"2016-07-07T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"M≥7 Earthquake rupture forecast and time-dependent probability for the Sea of Marmara region, Turkey","docAbstract":"We forecast time-independent and time-dependent earthquake ruptures in the Marmara region of Turkey for the next 30 years using a new fault-segmentation model. We also augment time-dependent Brownian Passage Time (BPT) probability with static Coulomb stress changes (ΔCFF) from interacting faults. We calculate Mw > 6.5 probability from 26 individual fault sources in the Marmara region. We also consider a multisegment rupture model that allows higher-magnitude ruptures over some segments of the Northern branch of the North Anatolian Fault Zone (NNAF) beneath the Marmara Sea. A total of 10 different Mw=7.0 to Mw=8.0 multisegment ruptures are combined with the other regional faults at rates that balance the overall moment accumulation. We use Gaussian random distributions to treat parameter uncertainties (e.g., aperiodicity, maximum expected magnitude, slip rate, and consequently mean recurrence time) of the statistical distributions associated with each fault source. We then estimate uncertainties of the 30-year probability values for the next characteristic event obtained from three different models (Poisson, BPT, and BPT+ΔCFF) using a Monte Carlo procedure. The Gerede fault segment located at the eastern end of the Marmara region shows the highest 30-yr probability, with a Poisson value of 29%, and a time-dependent interaction probability of 48%. We find an aggregated 30-yr Poisson probability of M >7.3 earthquakes at Istanbul of 35%, which increases to 47% if time dependence and stress transfer are considered. We calculate a 2-fold probability gain (ratio time-dependent to time-independent) on the southern strands of the North Anatolian Fault Zone.
","language":"English","publisher":"AGU","doi":"10.1002/2015JB012595","usgsCitation":"Murru, M., Akinci, A., Falcone, G., Pucci, S., Console, R., and Parsons, T.E., 2016, M≥7 Earthquake rupture forecast and time-dependent probability for the Sea of Marmara region, Turkey: Journal of Geophysical Research, v. 121, no. 4, p. 2679-2707, https://doi.org/10.1002/2015JB012595.","productDescription":"29 p.","startPage":"2679","endPage":"2707","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074489","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012595","text":"Publisher Index Page"},{"id":324812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324806,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2015JB012595/full"}],"country":"Turkey","otherGeospatial":"Sea if Marmara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 25.9716796875,\n 40.75557964275591\n ],\n [\n 27.9931640625,\n 41.9921602333763\n ],\n [\n 31.92626953125,\n 41.57436130598913\n ],\n [\n 30.278320312499996,\n 39.740986355883564\n ],\n [\n 27.454833984375,\n 39.93501296038254\n ],\n [\n 26.411132812499996,\n 39.977120098439634\n ],\n [\n 25.9716796875,\n 40.75557964275591\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-18","publicationStatus":"PW","scienceBaseUri":"577f6f1be4b0ef4d2f45d436","contributors":{"authors":[{"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":641702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akinci, Aybige","contributorId":172715,"corporation":false,"usgs":false,"family":"Akinci","given":"Aybige","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":641703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falcone, Guiseppe","contributorId":172716,"corporation":false,"usgs":false,"family":"Falcone","given":"Guiseppe","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":641704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pucci, Stefano","contributorId":172717,"corporation":false,"usgs":false,"family":"Pucci","given":"Stefano","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":641705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":641706,"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":641701,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70174286,"text":"70174286 - 2016 - Demography of an apex predator at the edge of its range: impacts of changing sea ice on polar bears in Hudson Bay","interactions":[],"lastModifiedDate":"2016-07-15T15:10:32","indexId":"70174286","displayToPublicDate":"2016-07-07T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Demography of an apex predator at the edge of its range: impacts of changing sea ice on polar bears in Hudson Bay","docAbstract":"Changes in the abundance and distribution of wildlife populations are common consequences of historic and contemporary climate change. Some Arctic marine mammals, such as the polar bear (Ursus maritimus), may be particularly vulnerable to such changes due to the loss of Arctic sea ice. We evaluated the impacts of environmental variation on demographic rates for the Western Hudson Bay (WH), polar bear subpopulation from 1984 to 2011 using live-recapture and dead-recovery data in a Bayesian implementation of multistate capture–recapture models. We found that survival of female polar bears was related to the annual timing of sea ice break-up and formation. Using estimated vital rates (e.g., survival and reproduction) in matrix projection models, we calculated the growth rate of the WH subpopulation and projected population responses under different environmental scenarios while accounting for parametric uncertainty, temporal variation, and demographic stochasticity. Our analysis suggested a long-term decline in the number of bears from 1185 (95% Bayesian credible interval [BCI] = 993–1411) in 1987 to 806 (95% BCI = 653–984) in 2011. In the last 10 yr of the study, the number of bears appeared stable due to temporary stability in sea ice conditions (mean population growth rate for the period 2001–2010 = 1.02, 95% BCI = 0.98–1.06). Looking forward, we estimated long-term growth rates for the WH subpopulation of ~1.02 (95% BCI = 1.00–1.05) and 0.97 (95% BCI = 0.92–1.01) under hypothetical high and low sea ice conditions, respectively. Our findings support previous evidence for a demographic linkage between sea ice conditions and polar bear population dynamics. Furthermore, we present a robust framework for sensitivity analysis with respect to continued climate change (e.g., to inform scenario planning) and for evaluating the combined effects of climate change and management actions on the status of wildlife populations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-1256","usgsCitation":"Lunn, N., Servanty, S., Regehr, E.V., Converse, S.J., Richardson, E.S., and Stirling, I., 2016, Demography of an apex predator at the edge of its range: impacts of changing sea ice on polar bears in Hudson Bay: Ecological Applications, v. 26, no. 5, p. 1302-1320, https://doi.org/10.1890/15-1256.","productDescription":"19 p.","startPage":"1302","endPage":"1320","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070782","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Hudson Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.0986328125,\n 64.88626540914477\n ],\n [\n -84.462890625,\n 65.03506043658815\n ],\n [\n -76.81640625,\n 61.79390039913458\n ],\n [\n -77.16796875,\n 58.81374171570782\n ],\n [\n -75.498046875,\n 56.022948079627454\n ],\n [\n -78.3984375,\n 54.34214886448341\n ],\n [\n -77.87109375,\n 51.944264879028765\n ],\n [\n -79.8046875,\n 50.819818262156545\n ],\n [\n -82.4853515625,\n 52.3755991766591\n ],\n [\n -83.49609375,\n 54.57206165565852\n ],\n [\n -90.65917968749999,\n 56.68037378950137\n ],\n [\n -93.779296875,\n 56.8249328650072\n ],\n [\n -95.4052734375,\n 59.31076795603884\n ],\n [\n -94.833984375,\n 61.68987220045999\n ],\n [\n -91.0986328125,\n 64.88626540914477\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-05","publicationStatus":"PW","scienceBaseUri":"577f6f1ae4b0ef4d2f45d428","contributors":{"authors":[{"text":"Lunn, Nicholas J.","contributorId":78421,"corporation":false,"usgs":true,"family":"Lunn","given":"Nicholas J.","affiliations":[],"preferred":false,"id":641683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Servanty, Sabrina","contributorId":53296,"corporation":false,"usgs":true,"family":"Servanty","given":"Sabrina","affiliations":[],"preferred":false,"id":641684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":641685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":641682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Evan S.","contributorId":139901,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","email":"","middleInitial":"S.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":641686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stirling, Ian","contributorId":72079,"corporation":false,"usgs":false,"family":"Stirling","given":"Ian","email":"","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":641687,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70174288,"text":"70174288 - 2016 - Density-dependent home-range size revealed by spatially explicit capture–recapture","interactions":[],"lastModifiedDate":"2016-07-12T19:11:20","indexId":"70174288","displayToPublicDate":"2016-07-07T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Density-dependent home-range size revealed by spatially explicit capture–recapture","docAbstract":"The size of animal home ranges often varies inversely with population density among populations of a species. This fact has implications for population monitoring using spatially explicit capture–recapture (SECR) models, in which both the scale of home-range movements σ and population density D usually appear as parameters, and both may vary among populations. It will often be appropriate to model a structural relationship between population-specific values of these parameters, rather than to assume independence. We suggest re-parameterizing the SECR model using kp = σp √Dp, where kp relates to the degree of overlap between home ranges and the subscript p distinguishes populations. We observe that kp is often nearly constant for populations spanning a range of densities. This justifies fitting a model in which the separate kp are replaced by the single parameter k and σp is a density-dependent derived parameter. Continuous density-dependent spatial variation in σ may also be modelled, using a scaled non-Euclidean distance between detectors and the locations of animals. We illustrate these methods with data from automatic photography of tigers (Panthera tigris) across India, in which the variation is among populations, from mist-netting of ovenbirds (Seiurus aurocapilla) in Maryland, USA, in which the variation is within a single population over time, and from live-trapping of brushtail possums (Trichosurus vulpecula) in New Zealand, modelling spatial variation within one population. Possible applications and limitations of the methods are discussed. A model in which kp is constant, while density varies, provides a parsimonious null model for SECR. The parameter k of the null model is a concise summary of the empirical relationship between home-range size and density that is useful in comparative studies. We expect deviations from this model, particularly the dependence of kp on covariates, to be biologically interesting.
","language":"English","publisher":"Blackwell Publishers","publisherLocation":"Oxford","doi":"10.1111/ecog.01511","usgsCitation":"Efford, M., Dawson, D.K., Jhala, Y., and Qureshi, Q., 2016, Density-dependent home-range size revealed by spatially explicit capture–recapture: Ecography, v. 39, no. 7, p. 676-688, https://doi.org/10.1111/ecog.01511.","productDescription":"13 p.","startPage":"676","endPage":"688","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065283","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-07","publicationStatus":"PW","scienceBaseUri":"577f6f1ae4b0ef4d2f45d42c","contributors":{"authors":[{"text":"Efford, M.G.","contributorId":13352,"corporation":false,"usgs":true,"family":"Efford","given":"M.G.","affiliations":[],"preferred":false,"id":641693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Deanna K. ddawson@usgs.gov","contributorId":1257,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":641690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jhala, Y.V.","contributorId":96889,"corporation":false,"usgs":true,"family":"Jhala","given":"Y.V.","email":"","affiliations":[],"preferred":false,"id":641694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qureshi, Q.","contributorId":172713,"corporation":false,"usgs":false,"family":"Qureshi","given":"Q.","email":"","affiliations":[],"preferred":false,"id":641695,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174287,"text":"70174287 - 2016 - Controls on methane concentrations and fluxes in streams draining human-dominated landscapes","interactions":[],"lastModifiedDate":"2018-04-02T16:38:02","indexId":"70174287","displayToPublicDate":"2016-07-07T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Controls on methane concentrations and fluxes in streams draining human-dominated landscapes","docAbstract":"Streams and rivers are active processors of carbon, leading to significant emissions of CO2 and possibly CH4 to the atmosphere. Patterns and controls of CH4 in fluvial ecosystems remain relatively poorly understood. Furthermore, little is known regarding how major human impacts to fluvial ecosystems may be transforming their role as CH4 producers and emitters. Here, we examine the consequences of two distinct ecosystem changes as a result of human land use: increased nutrient loading (primarily as nitrate), and increased sediment loading and deposition of fine particles in the benthic zone. We did not find support for the hypothesis that enhanced nitrate loading down-regulates methane production via thermodynamic or toxic effects. We did find strong evidence that increased sedimentation and enhanced organic matter content of the benthos lead to greater methane production (diffusive + ebullitive flux) relative to pristine fluvial systems in northern Wisconsin (upper Midwest, USA). Overall, streams in a human-dominated landscape of southern Wisconsin were major regional sources of CH4 to the atmosphere, equivalent to ~20% of dairy cattle emissions, or ~50% of a landfill’s annual emissions. We suggest that restoration of the benthic environment (reduced fine deposits) could lead to reduced CH4 emissions, while decreasing nutrient loading is likely to have limited impacts to this ecosystem process.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-1330","usgsCitation":"Crawford, J.T., and Stanley, E.H., 2016, Controls on methane concentrations and fluxes in streams draining human-dominated landscapes: Ecological Applications, v. 26, no. 5, p. 1581-1591, https://doi.org/10.1890/15-1330.","productDescription":"11 p.","startPage":"1581","endPage":"1591","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067080","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":324800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Dane","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.0094,43.286],[-89.0084,43.2555],[-89.0094,43.2],[-89.01,43.1131],[-89.0109,43.0849],[-89.0107,43.0271],[-89.0132,42.9353],[-89.013,42.8762],[-89.0119,42.8471],[-89.132,42.8479],[-89.2488,42.8478],[-89.3689,42.8484],[-89.3688,42.8575],[-89.4832,42.858],[-89.6026,42.8575],[-89.7196,42.8587],[-89.8377,42.8598],[-89.8375,42.9471],[-89.8386,43.0317],[-89.8384,43.1181],[-89.8394,43.205],[-89.8325,43.2123],[-89.825,43.2187],[-89.8175,43.226],[-89.8125,43.2342],[-89.8088,43.2369],[-89.8012,43.2365],[-89.7874,43.2356],[-89.771,43.237],[-89.7579,43.2379],[-89.7529,43.2443],[-89.7485,43.2507],[-89.7391,43.2548],[-89.7259,43.2644],[-89.7171,43.2739],[-89.714,43.2821],[-89.7165,43.2867],[-89.7235,43.2935],[-89.7209,43.2935],[-89.6008,43.2932],[-89.4819,43.2942],[-89.3617,43.2954],[-89.3624,43.2832],[-89.246,43.2834],[-89.1271,43.2827],[-89.0094,43.286]]]},\"properties\":{\"name\":\"Dane\",\"state\":\"WI\"}}]}","volume":"26","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-05","publicationStatus":"PW","scienceBaseUri":"577f6f1ae4b0ef4d2f45d423","chorus":{"doi":"10.1890/15-1330","url":"http://dx.doi.org/10.1890/15-1330","publisher":"Wiley-Blackwell","authors":"Crawford John T., Stanley Emily H.","journalName":"Ecological Applications","publicationDate":"7/2016"},"contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":641688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":641689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174237,"text":"70174237 - 2016 - Composition and structure of the shallow subsurface of Ceres revealed by crater morphology","interactions":[],"lastModifiedDate":"2016-07-07T11:12:34","indexId":"70174237","displayToPublicDate":"2016-07-07T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Composition and structure of the shallow subsurface of Ceres revealed by crater morphology","docAbstract":"Before NASA’s Dawn mission, the dwarf planet Ceres was widely believed to contain a substantial ice-rich layer below its rocky surface. The existence of such a layer has significant implications for Ceres’s formation, evolution, and astrobiological potential. Ceres is warmer than icy worlds in the outer Solar System and, if its shallow subsurface is ice-rich, large impact craters are expected to be erased by viscous flow on short geologic timescales. Here we use digital terrain models derived from Dawn Framing Camera images to show that most of Ceres’s largest craters are several kilometres deep, and are therefore inconsistent with the existence of an ice-rich subsurface. We further show from numerical simulations that the absence of viscous relaxation over billion-year timescales implies a subsurface viscosity that is at least one thousand times greater than that of pure water ice. We conclude that Ceres’s shallow subsurface is no more than 30% to 40% ice by volume, with a mixture of rock, salts and/or clathrates accounting for the other 60% to 70%. However, several anomalously shallow craters are consistent with limited viscous relaxation and may indicate spatial variations in subsurface ice content.
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Russell, 2016, Composition and structure of the shallow subsurface of Ceres revealed by crater morphology: Nature Geoscience, v. 9, p. 538-542, https://doi.org/10.1038/NGEO2743.","productDescription":"5 p.","startPage":"538","endPage":"542","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074012","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470759,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/ngeo2743","text":"External Repository"},{"id":324801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"577f6f19e4b0ef4d2f45d41d","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":641553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carol A. 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However, discovery is hindered by Alaska’s vast size, remoteness, and rugged terrain. New methods are needed to overcome these obstacles in order to fully evaluate Alaska’s geology and mineral resource potential. Hyperspectral surveying is one method that can be used to rapidly acquire data about the distributions of surficial materials, including different types of bedrock and ground cover. In 2014, the U.S. Geological Survey began the Alaska Hyperspectral Project to assess the applicability of this method in Alaska. The primary study area is a remote part of the eastern Alaska Range where porphyry deposits are exposed. In collaboration with the Alaska Division of Geological and Geophysical Surveys, the University of Alaska Fairbanks, and the National Park Service, the U.S. Geological Survey is collecting and analyzing hyperspectral data with the goals of enhancing geologic mapping and developing methods to identify and characterize mineral deposits elsewhere in Alaska.
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\":{\"name\":\"Alaska\",\"nation\":\"USA \"}}]}","contact":"U.S. Geological Survey
Director, Crustal Geophysics and Geochemistry Science Center
Box 25046, MS-973
Denver Federal Center
Denver, CO 80225-0046
http://crustal.usgs.gov
Surveillance for pathogens of Atlantic herring, including viral hemorrhagic septicemia virus (VHSV),Ichthyophonus hoferi, and hepatic and intestinal coccidians, was conducted from 2012 to 2016 in the NW Atlantic Ocean, New Jersey, USA. Neither VHSV nor I. hoferi was detected in any sample. Goussia clupearum was found in the livers of 40 to 78% of adult herring in varying parasite loads; however, associated pathological changes were negligible. Phylogenetic analysis based on small subunit 18S rRNA gene sequences placed G. clupearum most closely with other extraintestinal liver coccidia from the genus Calyptospora, though the G. clupearum isolates had a unique nucleotide insertion between 604 and 729 bp that did not occur in any other coccidian species. G. clupearum oocysts from Atlantic and Pacific herring were morphologically similar, though differences occurred in oocyst dimensions. Comparison of G. clupearum genetic sequences from Atlantic and Pacific herring revealed 4 nucleotide substitutions and 2 gaps in a 1749 bp region, indicating some divergence in the geographically separate populations. Pacific G. clupearum oocysts were not directly infective, suggesting that a heteroxenous life cycle is likely. Intestinal coccidiosis was described for the first time from juvenile and adult Atlantic herring. A novel intestinal coccidian species was detected based on morphological characteristics of exogenously sporulated oocysts. A unique feature in these oocysts was the presence of 3 long (15.1 ± 5.1 µm, mean ±SD) spiny projections on both ends of the oocyst. The novel morphology of this coccidian led us to tentatively name this parasite G. echinata n. sp.
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Jersey\",\"nation\":\"USA \"}}]}","volume":"120","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5799db45e4b0589fa1c7e7f7","contributors":{"authors":[{"text":"Friend, Sarah E","contributorId":173192,"corporation":false,"usgs":false,"family":"Friend","given":"Sarah","email":"","middleInitial":"E","affiliations":[{"id":27184,"text":"New Jersey Division of Fish & Wildlife, Office of Fish & Wildlife Health & Forensics, 605 Pequest Rd. Oxford, New Jersey 07863","active":true,"usgs":false}],"preferred":false,"id":643611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovey, J","contributorId":173193,"corporation":false,"usgs":false,"family":"Lovey","given":"J","email":"","affiliations":[{"id":27184,"text":"New Jersey Division of Fish & Wildlife, Office of Fish & Wildlife Health & Forensics, 605 Pequest Rd. Oxford, New Jersey 07863","active":true,"usgs":false}],"preferred":false,"id":643612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":643610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174952,"text":"70174952 - 2016 - Delta smelt: Life history and decline of a once abundant species in the San Francisco Estuary","interactions":[],"lastModifiedDate":"2017-10-30T09:44:42","indexId":"70174952","displayToPublicDate":"2016-07-07T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Delta smelt: Life history and decline of a once abundant species in the San Francisco Estuary","docAbstract":"This paper reviews what has been learned about Delta Smelt and its status since the publication of The State of Bay-Delta Science, 2008 (Healey et al. 2008). The Delta Smelt is endemic to the upper San Francisco Estuary. Much of its historic habitat is no longer available and remaining habitat is increasingly unable to sustain the population. As a listed species living in the central node of California’s water supply system, Delta Smelt has been the focus of a large research effort to understand causes of decline and identify ways to recover the species. Since 2008, a remarkable record of innovative research on Delta Smelt has been achieved, which is summarized here. Unfortunately, research has not prevented the smelt’s continued decline, which is the result of multiple, interacting factors. A major driver of decline is change to the Delta ecosystem from water exports, resulting in reduced outflows and high levels of entrainment in the large pumps of the South Delta. Invasions of alien species, encouraged by environmental change, have also played a contributing role in the decline. Severe drought effects have pushed Delta Smelt to record low levels in 2014–2015. The rapid decline of the species and failure of recovery efforts demonstrate an inability to manage the Delta for the “co-equal goals” of maintaining a healthy ecosystem and providing a reliable water supply for Californians. Diverse and substantial management actions are needed to preserve Delta Smelt.
","language":"English","publisher":"University of California at Davis John Muir Institute of the Environment and the Delta Stewardship Council","doi":"10.15447/sfews.2016v14iss2art6","usgsCitation":"Moyle, P.B., Brown, L.R., Durand, J.R., and Hobbs, J.A., 2016, Delta smelt: Life history and decline of a once abundant species in the San Francisco Estuary: San Francisco Estuary and Watershed Science, v. 14, no. 2, 30 p., https://doi.org/10.15447/sfews.2016v14iss2art6.","productDescription":"30 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071974","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":470760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss2art6","text":"Publisher Index Page"},{"id":325570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.69805908203125,\n 37.37452264407722\n ],\n [\n -122.69805908203125,\n 38.3287297527893\n ],\n [\n -121.871337890625,\n 38.3287297527893\n ],\n [\n -121.871337890625,\n 37.37452264407722\n ],\n [\n -122.69805908203125,\n 37.37452264407722\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57934443e4b0eb1ce79e8be4","contributors":{"authors":[{"text":"Moyle, Peter B.","contributorId":117099,"corporation":false,"usgs":false,"family":"Moyle","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":643305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":643304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durand, John R","contributorId":173098,"corporation":false,"usgs":false,"family":"Durand","given":"John","email":"","middleInitial":"R","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":643306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobbs, James A.","contributorId":171638,"corporation":false,"usgs":false,"family":"Hobbs","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":643307,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70169855,"text":"70169855 - 2016 - A framework for assessing the feasibility of native fish conservation translocations: Applications to threatened bull trout","interactions":[],"lastModifiedDate":"2016-08-02T09:11:26","indexId":"70169855","displayToPublicDate":"2016-07-07T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A framework for assessing the feasibility of native fish conservation translocations: Applications to threatened bull trout","docAbstract":"A novel highly pathogenic avian influenza virus belonging to the H5 clade 2.3.4.4 variant viruses was detected in North America in late 2014. Motivated by the identification of these viruses in domestic poultry in Canada, an intensive study was initiated to conduct highly pathogenic avian influenza surveillance in wild birds in the Pacific Flyway of the United States. A total of 4,729 hunter-harvested wild birds were sampled and highly pathogenic avian influenza virus was detected in 1.3% (n = 63). Three H5 clade 2.3.4.4 subtypes were isolated from wild birds, H5N2, H5N8, and H5N1, representing the wholly Eurasian lineage H5N8 and two novel reassortant viruses. Testing of 150 additional wild birds during avian morbidity and mortality investigations in Washington yielded 10 (6.7%) additional highly pathogenic avian influenza isolates (H5N8 = 3 and H5N2 = 7). The geographically widespread detection of these viruses in apparently healthy wild waterfowl suggest that the H5 clade 2.3.4.4 variant viruses may behave similarly in this taxonomic group whereby many waterfowl species are susceptible to infection but do not demonstrate obvious clinical disease. Despite these findings in wild waterfowl, mortality has been documented for some wild bird species and losses in US domestic poultry during the first half of 2015 were unprecedented.
","language":"English","publisher":"Macmillan Journals Ltd","publisherLocation":"London","doi":"10.1038/srep28980","usgsCitation":"Bevins, S., Dusek, R.J., White, C.L., Gidlewski, T., Bodenstein, B., Mansfield, K.G., DeBruyn, P., Kraege, D.K., Rowan, E., Gillin, C., Thomas, B., Chandler, S., Baroch, J., Schmit, B., Grady, M.J., Miller, R.S., Drew, M., Stopak, S., Zscheile, B., Bennett, J., Sengl, J., Brady, C., Ip, S., Spackman, E., Killian, M.L., Kim Torchetti, M., Sleeman, J.M., and DeLiberto, T., 2016, Widespread detection of highly pathogenic H5 influenza viruses in wild birds from the Pacific Flyway of the United States: Scientific Reports, v. 6, Article 28980; 9 p., https://doi.org/10.1038/srep28980.","productDescription":"Article 28980; 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073866","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep28980","text":"Publisher Index Page"},{"id":324793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"Pacific Flyway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.6328125,\n 66.23145747862573\n ],\n [\n -132.890625,\n 64.32087157990324\n ],\n [\n -98.26171875,\n 15.792253570362446\n ],\n [\n -120.76171875,\n 26.745610382199022\n ],\n [\n -153.6328125,\n 66.23145747862573\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-06","publicationStatus":"PW","scienceBaseUri":"577f6f1be4b0ef4d2f45d43b","contributors":{"authors":[{"text":"Bevins, S.N.","contributorId":38782,"corporation":false,"usgs":true,"family":"Bevins","given":"S.N.","affiliations":[],"preferred":false,"id":641677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":152316,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":641676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":641773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gidlewski, Thomas","contributorId":139363,"corporation":false,"usgs":false,"family":"Gidlewski","given":"Thomas","email":"","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":641774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodenstein, B. 0000-0001-7946-0103","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":6664,"corporation":false,"usgs":true,"family":"Bodenstein","given":"B.","affiliations":[],"preferred":false,"id":641775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mansfield, Kristin G.","contributorId":139359,"corporation":false,"usgs":false,"family":"Mansfield","given":"Kristin","email":"","middleInitial":"G.","affiliations":[{"id":12748,"text":"State of Washington","active":true,"usgs":false}],"preferred":false,"id":641776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeBruyn, Paul","contributorId":139364,"corporation":false,"usgs":false,"family":"DeBruyn","given":"Paul","email":"","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":641777,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kraege, Donald K.","contributorId":19738,"corporation":false,"usgs":false,"family":"Kraege","given":"Donald","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":641778,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowan, E. L. 0000-0001-5753-6189","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":34921,"corporation":false,"usgs":true,"family":"Rowan","given":"E. L.","affiliations":[],"preferred":false,"id":641779,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gillin, Colin","contributorId":87400,"corporation":false,"usgs":true,"family":"Gillin","given":"Colin","affiliations":[],"preferred":false,"id":641780,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thomas, B.","contributorId":172734,"corporation":false,"usgs":false,"family":"Thomas","given":"B.","affiliations":[],"preferred":false,"id":641781,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chandler, S.","contributorId":172735,"corporation":false,"usgs":false,"family":"Chandler","given":"S.","email":"","affiliations":[],"preferred":false,"id":641782,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Baroch, J.","contributorId":172736,"corporation":false,"usgs":false,"family":"Baroch","given":"J.","affiliations":[],"preferred":false,"id":641783,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schmit, B.","contributorId":172737,"corporation":false,"usgs":false,"family":"Schmit","given":"B.","email":"","affiliations":[],"preferred":false,"id":641784,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Grady, M. J.","contributorId":172738,"corporation":false,"usgs":false,"family":"Grady","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":641785,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Miller, R. S.","contributorId":172739,"corporation":false,"usgs":false,"family":"Miller","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":641786,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Drew, M.L.","contributorId":77712,"corporation":false,"usgs":true,"family":"Drew","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":641787,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stopak, S.","contributorId":172740,"corporation":false,"usgs":false,"family":"Stopak","given":"S.","affiliations":[],"preferred":false,"id":641788,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Zscheile, B.","contributorId":172741,"corporation":false,"usgs":false,"family":"Zscheile","given":"B.","email":"","affiliations":[],"preferred":false,"id":641789,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bennett, J.","contributorId":99942,"corporation":false,"usgs":true,"family":"Bennett","given":"J.","affiliations":[],"preferred":false,"id":641790,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sengl, J.","contributorId":172742,"corporation":false,"usgs":false,"family":"Sengl","given":"J.","email":"","affiliations":[],"preferred":false,"id":641791,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Brady, Caroline","contributorId":145624,"corporation":false,"usgs":false,"family":"Brady","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":641792,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":641793,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Spackman, Erica","contributorId":53647,"corporation":false,"usgs":false,"family":"Spackman","given":"Erica","email":"","affiliations":[],"preferred":false,"id":641794,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Killian, M. L.","contributorId":115430,"corporation":false,"usgs":true,"family":"Killian","given":"M.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":641795,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Kim Torchetti, Mia","contributorId":139355,"corporation":false,"usgs":false,"family":"Kim Torchetti","given":"Mia","email":"","affiliations":[{"id":12747,"text":"USDA APHIS VS National Veterinary Services Laboratories, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":641796,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":641797,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"DeLiberto, T.J.","contributorId":79328,"corporation":false,"usgs":true,"family":"DeLiberto","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":641678,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70179390,"text":"70179390 - 2016 - Detection, prevalence, and transmission of avian hematozoa in waterfowl at the Arctic/sub-Arctic interface: co-infections, viral interactions, and sources of variation.","interactions":[],"lastModifiedDate":"2016-12-30T10:37:46","indexId":"70179390","displayToPublicDate":"2016-07-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3010,"text":"Parasites & Vectors","printIssn":"1756-3305","active":true,"publicationSubtype":{"id":10}},"title":"Detection, prevalence, and transmission of avian hematozoa in waterfowl at the Arctic/sub-Arctic interface: co-infections, viral interactions, and sources of variation.","docAbstract":"Background: The epidemiology of avian hematozoa at high latitudes is still not well understood, particularly in sub-Arctic and Arctic habitats, where information is limited regarding seasonality and range of transmission, co-infection dynamics with parasitic and viral agents, and possible fitness consequences of infection. Such information is important as climate warming may lead to northward expansion of hematozoa with unknown consequences to northern-breeding avian taxa, particularly populations that may be previously unexposed to blood parasites.\nMethods: We used molecular methods to screen blood samples and cloacal/oropharyngeal swabs collected from 1347 ducks of five species during May-August 2010, in interior Alaska, for the presence of hematozoa, Influenza A Virus (IAV), and IAV antibodies. Using models to account for imperfect detection of parasites, we estimated seasonal variation in prevalence of three parasite genera (Haemoproteus, Plasmodium, Leucocytozoon) and investigated how co-infection with parasites and viruses were related to the probability of infection.\n\nResults: We detected parasites from each hematozoan genus in adult and juvenile ducks of all species sampled. Seasonal patterns in detection and prevalence varied by parasite genus and species, age, and sex of duck hosts. The probabilities of infection for Haemoproteus and Leucocytozoon parasites were strongly positively correlated, but hematozoa infection was not correlated with IAV infection or serostatus. The probability of Haemoproteus infection was negatively related to body condition in juvenile ducks; relationships between Leucocytozoon infection and body condition varied among host species.\n\nConclusions: We present prevalence estimates for Haemoproteus, Leucocytozoon, and Plasmodium infections in waterfowl at the interface of the sub-Arctic and Arctic and provide evidence for local transmission of all three parasite genera. Variation in prevalence and molecular detection of hematozoa parasites in wild ducks is influenced by seasonal timing and a number of host traits. A positive correlation in co-infection of Leucocytozoon and Haemoproteus suggests that infection probability by parasites in one or both genera is enhanced by infection with the other, or that encounter rates of hosts and genus-specific vectors are correlated. Using size-adjusted mass as an index of host condition, we did not find evidence for strong deleterious consequences of hematozoa infection in wild ducks.","language":"English","publisher":"BioMed Central","doi":"10.1186/s13071-016-1666-3","usgsCitation":"Meixell, B.W., Arnold, T.W., Lindberg, M.S., Smith, M.M., Ramey, A.M., and Runstadler, J.A., 2016, Detection, prevalence, and transmission of avian hematozoa in waterfowl at the Arctic/sub-Arctic interface: co-infections, viral interactions, and sources of variation.: Parasites & Vectors, v. 9, no. 390, 18 p., https://doi.org/10.1186/s13071-016-1666-3.","productDescription":"18 p.","ipdsId":"IP-074072","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470767,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13071-016-1666-3","text":"Publisher Index Page"},{"id":438594,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QJ7FD2","text":"USGS data release","linkHelpText":"Morphology and Disease Information from Waterfowl, Interior Alaska, 2010"},{"id":332677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332668,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/ 10.1186/s13071-016-1666-3"}],"volume":"9","issue":"390","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-07","publicationStatus":"PW","scienceBaseUri":"586781f8e4b0cd2dabe7c719","chorus":{"doi":"10.1186/s13071-016-1666-3","url":"http://dx.doi.org/10.1186/s13071-016-1666-3","publisher":"Springer Nature","authors":"Meixell Brandt W., Arnold Todd W., Lindberg Mark S., Smith Matthew M., Runstadler Jonathan A., Ramey Andrew M.","journalName":"Parasites & Vectors","publicationDate":"7/7/2016"},"contributors":{"authors":[{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":657031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":657046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":657047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":657032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":657033,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":657048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70174063,"text":"sim3360 - 2016 - Geologic map of the Murray Quadrangle, Newton County, Arkansas","interactions":[],"lastModifiedDate":"2016-07-06T16:36:17","indexId":"sim3360","displayToPublicDate":"2016-07-06T16:30:00","publicationYear":"2016","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":"3360","title":"Geologic map of the Murray Quadrangle, Newton County, Arkansas","docAbstract":"This map summarizes the geology of the Murray quadrangle in the Ozark Plateaus region of northern Arkansas. Geologically, the area is on the southern flank of the Ozark dome, an uplift that has the oldest rocks exposed at its center, in Missouri. Physiographically, the Murray quadrangle is within the Boston Mountains, a high plateau region underlain by Pennsylvanian sandstones and shales. Valleys of the Buffalo River and Little Buffalo River and their tributaries expose an approximately 1,600-ft-thick (488-meter-thick) sequence of Ordovician, Mississippian, and Pennsylvanian carbonate and clastic sedimentary rocks that have been mildly deformed by a series of faults and folds. The Buffalo National River, a park that encompasses the Buffalo River and adjacent land that is administered by the National Park Service is present at the northwestern edge of the quadrangle.
Mapping for this study was carried out by field inspection of numerous sites and was compiled as a 1:24,000 geographic information system (GIS) database. Locations and elevation of sites were determined with the aid of a global positioning satellite receiver and a hand-held barometric altimeter that was frequently recalibrated at points of known elevation. Hill-shade relief and slope maps derived from a U.S. Geological Survey 10-meter digital elevation model as well as orthophotographs were used to help trace ledge-forming units between field traverses within the Upper Mississippian and Pennsylvanian part of the stratigraphic sequence. Strike and dip of beds were typically measured along stream drainages or at well-exposed ledges. Structure contours, constructed on the top of the Boone Formation and the base of a prominent sandstone unit within the Bloyd Formation, were drawn based on the elevations of field sites on these contacts well as other limiting information for their minimum elevations above hilltops or their maximum elevations below valley bottoms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3360","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hudson, M.R., and Turner, K.J., 2016, Geologic map of the Murray quadrangle, Newton County, Arkansas: U.S. Geological Survey Scientific Investigations Map 3360, 1 sheet, scale 1:24,000, https://dx.doi.org/10.3133/sim3360.","productDescription":"Sheet: 51.07 x 36.00 inches; Metadata; Read Me; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062555","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":324754,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_georeferenced.pdf","text":"Georeferenced geologic map","size":"127.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3360 Geologic Georeferenced Map"},{"id":324755,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_GIS.gdb.zip","text":"Geodatabase","size":"9.16 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Geodatabase"},{"id":324756,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_shapefiles.zip","text":"Shapefiles","size":"1.25 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Shapefiles"},{"id":324751,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3360/coverthb.jpg"},{"id":324758,"rank":8,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_metadata.zip","text":"Metadata","size":"16.0 kB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Metadata"},{"id":324752,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_readme_version2.txt","text":"Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3360 ReadMe"},{"id":324757,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3360/sim3360_basemaps.zip","text":"Base maps","size":"17.0 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3360 Base maps"},{"id":324753,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3360/sim3360.pdf","text":"Geologic map","size":"34.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3360 Geologic Map"}],"country":"United States","state":"Arkansas","county":"Newton County","otherGeospatial":"Murray Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.375,\n 35.875\n ],\n [\n -93.375,\n 36\n ],\n [\n -93.25,\n 36\n ],\n [\n -93.25,\n 35.875\n ],\n [\n -93.375,\n 35.875\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"U.S. Geological Survey
Center Director, USGS Geosciences and Environmental Change Science Center
Box 25046, MS-980
Denver Federal Center
Denver, CO 80225-0046
http://gec.cr.usgs.gov
Effective conservation planning requires understanding and ranking threats to wildlife populations. We developed a Bayesian network model to evaluate the relative influence of environmental and anthropogenic stressors, and their mitigation, on the persistence of polar bears (Ursus maritimus). Overall sea ice conditions, affected by rising global temperatures, were the most influential determinant of population outcomes. Accordingly, unabated rise in atmospheric greenhouse gas (GHG) concentrations was the dominant influence leading to worsened population outcomes, with polar bears in three of four ecoregions reaching a dominant probability of decreased or greatly decreased by the latter part of this century. Stabilization of atmospheric GHG concentrations by mid-century delayed the greatly reduced state by ≈25 yr in two ecoregions. Prompt and aggressive mitigation of emissions reduced the probability of any regional population becoming greatly reduced by up to 25%. Marine prey availability, linked closely to sea ice trend, had slightly less influence on outcome state than sea ice availability itself. Reduced mortality from hunting and defense of life and property interactions resulted in modest declines in the probability of a decreased or greatly decreased population outcome. Minimizing other stressors such as trans-Arctic shipping, oil and gas exploration, and contaminants had a negligible effect on polar bear outcomes, although the model was not well-informed with respect to the potential influence of these stressors. Adverse consequences of loss of sea ice habitat became more pronounced as the summer ice-free period lengthened beyond four months, which could occur in most of the Arctic basin after mid-century if GHG emissions are not promptly reduced. Long-term conservation of polar bears would be best supported by holding global mean temperature to ≤ 2°C above preindustrial levels. Until further sea ice loss is stopped, management of other stressors may serve to slow the transition of populations to progressively worsened outcomes, and improve the prospects for their long-term persistence.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1370","usgsCitation":"Atwood, T.C., Marcot, B.G., Douglas, D.C., Amstrup, S.C., Rode, K.D., Durner, G.M., and Bromaghin, J.F., 2016, Forecasting the relative influence of environmental and anthropogenic stressors on polar bears: Ecosphere, v. 7, no. 6, Article e01370; 22 p., https://doi.org/10.1002/ecs2.1370.","productDescription":"Article e01370; 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066721","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1370","text":"Publisher Index Page"},{"id":324786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"577e1d9de4b0ef4d2f43e6bd","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":641661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":641662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":641663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":641664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","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":641665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","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":641666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","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":641667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171113,"text":"ofr20161085 - 2016 - Identifying bird and reptile vulnerabilities to climate change in the southwestern United States","interactions":[],"lastModifiedDate":"2017-11-25T13:39:32","indexId":"ofr20161085","displayToPublicDate":"2016-07-06T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1085","title":"Identifying bird and reptile vulnerabilities to climate change in the southwestern United States","docAbstract":"Current and future breeding ranges of 15 bird and 16 reptile species were modeled in the Southwestern United States. Rather than taking a broad-scale, vulnerability-assessment approach, we created a species distribution model (SDM) for each focal species incorporating climatic, landscape, and plant variables. Baseline climate (1940–2009) was characterized with Parameter-elevation Regressions on Independent Slopes Model (PRISM) data and future climate with global-circulation-model data under an A1B emission scenario. Climatic variables included monthly and seasonal temperature and precipitation; landscape variables included terrain ruggedness, soil type, and insolation; and plant variables included trees and shrubs commonly associated with a focal species. Not all species-distribution models contained a plant, but if they did, we included a built-in annual migration rate for more accurate plant-range projections in 2039 or 2099. We conducted a group meta-analysis to (1) determine how influential each variable class was when averaged across all species distribution models (birds or reptiles), and (2) identify the correlation among contemporary (2009) habitat fragmentation and biological attributes and future range projections (2039 or 2099). Projected changes in bird and reptile ranges varied widely among species, with one-third of the ranges predicted to expand and two-thirds predicted to contract. A group meta-analysis indicated that climatic variables were the most influential variable class when averaged across all models for both groups, followed by landscape and plant variables (birds), or plant and landscape variables (reptiles), respectively. The second part of the meta-analysis indicated that numerous contemporary habitat-fragmentation (for example, patch isolation) and biological-attribute (for example, clutch size, longevity) variables were significantly correlated with the magnitude of projected range changes for birds and reptiles. Patch isolation was a significant trans-specific driver of projected bird and reptile ranges, suggesting that strategic actions should focus on restoration and enhancement of habitat at local and regional scales to promote landscape connectivity and conservation of core areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161085","usgsCitation":"Hatten, J.R., Giermakowski, J.T., Holmes, J.A., Nowak, E.M., Johnson, M.J., Ironside, K.E., van Riper, Charles, III, Peters, Michael, Truettner, Charles, and Cole, K.L., 2016, Identifying bird and reptile vulnerabilities to climate change in the Southwestern United States: U.S. Geological Survey Open-File Report 2016-1085, 76 p., https://dx.doi.org/10.3133/ofr20161085.","productDescription":"vi, 76 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070152","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":324760,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1085/coverthb.jpg"},{"id":324761,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1085/ofr20161085.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1085 Report PDF"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
http://wfrc.usgs.gov/
The Kittlitz's Murrelet (Brachyramphus brevirostris) is a small, non-colonial seabird endemic to marine waters of Alaska and eastern Russia that may have experienced significant population decline in recent decades, in part because of low reproductive success and terrestrial threats. Although recent studies have shed new light on Kittlitz's Murrelet nesting habitat in a few discrete areas, the location and extent of suitable nesting habitat throughout most of its range remains unclear. Here, we have compiled all existing nest records and locations to identify landscape-scale parameters (distance to coast, elevation, slope, and land cover) that provide potential nesting habitat in four regions: northern Alaska, Aleutian Islands, Alaska Peninsula Mountains and Kodiak Island, and Pacific Coastal Mountains (including nearshore interior Canada). We produced a final map classifying 12% (70,411 km2) of the lands assessed as potential Kittlitz's Murrelet nesting habitat, with dense but distinct patches in northern Alaska and a more uninterrupted, narrow band extending across the Pacific Coastal Mountains, Alaska Peninsula Mountains, and Aleutian Islands. The extent of habitat-capable parameter values varied regionally, indicating that the Kittlitz's Murrelet may be able to use a variety of habitats for nesting, depending on availability. Future nesting habitat studies could employ spatially random sampling designs to allow for quantitatively robust modeling of nesting habitat and predictive extrapolation to areas where nests have not been located but likely exist.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/112015-JFWM-116","usgsCitation":"Felis, J.J., Kissling, M.L., Kaler, R., Kenney, L., and Lawonn, M.J., 2016, Identifying Kittlitz's Murrelet nesting habitat in North America at the landscape scale: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 323-333, https://doi.org/10.3996/112015-JFWM-116.","productDescription":"11 p.","startPage":"323","endPage":"333","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075507","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488466,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112015-jfwm-116","text":"Publisher Index Page"},{"id":438595,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71V5C2W","text":"USGS data release","linkHelpText":"Identifying Kittlitz's Murrelet nesting habitat in North America at the 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freshwaters","docAbstract":"To gain insights into the risks associated with uranium (U) mining and processing, we investigated the biogeochemical controls of U bioavailability in the model freshwater speciesLymnaea stagnalis (Gastropoda). Bioavailability of dissolved U(VI) was characterized in controlled laboratory experiments over a range of water hardness, pH, and in the presence of complexing ligands in the form of dissolved natural organic matter (DOM). Results show that dissolved U is bioavailable under all the geochemical conditions tested. Uranium uptake rates follow first order kinetics over a range encompassing most environmental concentrations. Uranium uptake rates in L. stagnalis ultimately demonstrate saturation uptake kinetics when exposure concentrations exceed 100 nM, suggesting uptake via a finite number of carriers or ion channels. The lack of a relationship between U uptake rate constants and Ca uptake rates suggest that U does not exclusively use Ca membrane transporters. In general, U bioavailability decreases with increasing pH, increasing Ca and Mg concentrations, and when DOM is present. Competing ions did not affect U uptake rates. Speciation modeling that includes formation constants for U ternary complexes reveals that the aqueous concentration of dicarbonato U species (UO2(CO3)2–2) best predicts U bioavailability to L. stagnalis, challenging the free-ion activity model postulate.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b02406","usgsCitation":"Croteau, M.N., Fuller, C.C., Cain, D.J., Campbell, K.M., and Aiken, G.R., 2016, Biogeochemical controls of uranium bioavailability from the dissolved phase in natural freshwaters: Environmental Science & Technology, v. 50, no. 15, p. 8120-8127, https://doi.org/10.1021/acs.est.6b02406.","productDescription":"8 p.","startPage":"8120","endPage":"8127","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075146","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":325712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-21","publicationStatus":"PW","scienceBaseUri":"5799db3be4b0589fa1c7e732","chorus":{"doi":"10.1021/acs.est.6b02406","url":"http://dx.doi.org/10.1021/acs.est.6b02406","publisher":"American Chemical Society (ACS)","authors":"Croteau Marie-Noële, Fuller Christopher C., Cain Daniel J., Campbell Kate M., Aiken George","journalName":"Environmental Science & Technology","publicationDate":"8/2/2016"},"contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":643486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":643487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":643488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":643489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":643490,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188881,"text":"70188881 - 2016 - The Pilot Valley shoreline: An early record of Lake Bonneville dynamics","interactions":[],"lastModifiedDate":"2020-08-25T18:25:05.606281","indexId":"70188881","displayToPublicDate":"2016-07-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"The Pilot Valley shoreline: An early record of Lake Bonneville dynamics","docAbstract":"The Pilot Valley shoreline is named for distinctive gravel beaches on the eastern, northern, and western sides of Pilot Valley playa, Utah. The shoreline has been identified across the Bonneville basin where it is characterized by one to three beach crests between ~ 1305 and 1309 m elevation, all overlain by deep-water marl of Lake Bonneville. It thus represents the lowest and earliest recognized shoreline of Lake Bonneville. Features of the shoreline indicate that both high wave energy and high stream sediment discharge contributed to shoreline development. Basin hypsometry did not play a role in the development of the shoreline, which must have been caused by a combination of climatically driven hydrologic and storm factors, such as reduced precipitation that stabilized lake level and increase in storm-driven wave energy. The Pilot Valley shoreline is poorly dated at about 30 ka. If it is somewhat older, correlation with Greenland Interstadial 5.1 at 30.8–30.6 ka could explain the stabilization of lake level.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in Earth Surface Processes 20","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/B978-0-444-63590-7.00003-2","usgsCitation":"Miller, D., and Phelps, G., 2016, The Pilot Valley shoreline: An early record of Lake Bonneville dynamics, chap. 3 of Developments in Earth Surface Processes 20, v. 20, p. 60-74, https://doi.org/10.1016/B978-0-444-63590-7.00003-2.","productDescription":"15 p.","startPage":"60","endPage":"74","ipdsId":"IP-068696","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Nevada, Utah","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.141667,\n 42.041667\n ],\n [\n -111,\n 42.041667\n ],\n [\n -111,\n 37\n ],\n [\n -114.141667,\n 37\n ],\n [\n -114.141667,\n 42.041667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea8e4b062508e3c7a7b","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700806,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174783,"text":"70174783 - 2016 - Spectral nature of CO2 adsorption onto meteorites","interactions":[],"lastModifiedDate":"2016-09-06T13:44:47","indexId":"70174783","displayToPublicDate":"2016-07-05T18:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Spectral nature of CO2 adsorption onto meteorites","docAbstract":"Previous studies have identified carbon dioxide (CO2) on the surfaces of Jovian and Galilean satellites in regions of non-ice material that are too warm for CO2 ice to exist. CO2 ice would quickly sublimate if not retained by a less-volatile material. To ascertain what non-ice species may be responsible for stabilizing this CO2, we performed CO2 gas adsorption experiments on thirteen powdered CM, CI, and CV carbonaceous chondrite meteorites. Reflectance spectra of the ν3 feature associated with adsorbed CO2 near 4.27 μm were recorded. Results show that many meteorites adsorbed some amount of CO2, as evidenced by an absorption feature that was stable over several hours at ultra-high vacuum (UHV) and high vacuum, (1.0×10−8 and 1.0×10−7 Torr, respectively). Ivuna, the only CI chondrite studied, adsorbed significantly more CO2 than the others. We found that CO2 abundance did not vary with ‘water’ abundance, organics, or carbonates as inferred from the area of the 3-μm band, the 3.2-3.4 μm C-H feature, and the ∼3.8-μm band respectively, but did correlate with hydrous/anhydrous phyllosilicate ratios. Furthermore, we did not observe CO2 ice because the position of the CO2 feature was generally shifted 3-10 nm from that of the 4.27 μm absorption characteristic of ice. The strongest compositional relationship observed was a possible affinity of CO2 for total FeO abundance and complex clay minerals, which make up the bulk of the CI chondrite matrix. This finding implies that the most primitive refractory materials in the Solar System may also act as reservoirs of CO2, and possibly other volatiles, delivering them to parts of the Solar System where their ices would not be stable.
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