{"pageNumber":"731","pageRowStart":"18250","pageSize":"25","recordCount":184563,"records":[{"id":70207561,"text":"70207561 - 2019 - Energy depletion and stress levels of Sockeye Salmon migrating at the northern edge of their distribution","interactions":[],"lastModifiedDate":"2019-12-25T08:52:54","indexId":"70207561","displayToPublicDate":"2019-06-03T13:03:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Energy depletion and stress levels of Sockeye Salmon migrating at the northern edge of their distribution","docAbstract":"

The physiological challenge for anadromous fish to migrate upriver is influenced by river temperature, but the impacts of river temperature can be difficult to predict due to an incomplete understanding of how temperature influences migration costs, especially in high‐latitude (>60°N) ecosystems. To assess temperature influences on migrating Pacific salmon Oncorhynchus spp., we measured heat shock protein 70 (HSP70), as an indicator of cellular stress, and energy content of Sockeye Salmon Oncorhynchus nerka throughout their upriver migration in the Pilgrim River, Alaska. Although HSP70 was elevated as fish moved to the spawning grounds and was higher in fish with low energy content, HSP70 did not increase with warmer river temperatures. We verified in an experiment that HSP70 abundance in Sockeye Salmon does respond to temperatures above 20.5°C. Over the 4 years of sampling, energy content decreased at similar rates as Sockeye Salmon moved upstream. We expected Sockeye Salmon energy levels would be lower when migrating in warmer river temperatures; however, we found higher energy levels occurred with higher temperatures in the Pilgrim River. We hypothesize that the relationship between temperature and energy content is due to river temperatures often occurring below optimal temperatures for migration. Lower temperatures could be energetically costly or reduce migration rates, both of which would result in lower energy content with cooler temperature. Understanding interactions between environmental drivers and physiological responses will help managers anticipate future changes for Sockeye Salmon at the northern edge of their distribution.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10172","usgsCitation":"Carey, M.P., Keith, K.D., Schelske, M., Lean, C., McCormick, S.D., Regish, A.M., and Zimmerman, C.E., 2019, Energy depletion and stress levels of Sockeye Salmon migrating at the northern edge of their distribution: Transactions of the American Fisheries Society, v. 148, no. 4, p. 757-797, https://doi.org/10.1002/tafs.10172.","productDescription":"13 p.","startPage":"757","endPage":"797","ipdsId":"IP-097235","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437432,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B7G8SX","text":"USGS data release","linkHelpText":"Sockeye Salmon (Oncorhynchus nerka) Body Condition and Water Temperature Along the Pilgrim River, Northwestern Alaska, 2013-2016"},{"id":370680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Pilgrim River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -166.9207763671875,\n 64.80688109880006\n ],\n [\n -164.5697021484375,\n 64.80688109880006\n ],\n [\n -164.5697021484375,\n 65.37828234434494\n ],\n [\n -166.9207763671875,\n 65.37828234434494\n ],\n [\n -166.9207763671875,\n 64.80688109880006\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"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":778480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keith, Kevin D.","contributorId":192846,"corporation":false,"usgs":false,"family":"Keith","given":"Kevin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":778481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schelske, Merlyn","contributorId":192847,"corporation":false,"usgs":false,"family":"Schelske","given":"Merlyn","email":"","affiliations":[],"preferred":false,"id":778482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lean, Charlie","contributorId":221506,"corporation":false,"usgs":false,"family":"Lean","given":"Charlie","affiliations":[{"id":33645,"text":"Norton Sound Fisheries Research & Development","active":true,"usgs":false}],"preferred":false,"id":778483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":778484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":778485,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":778479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204725,"text":"70204725 - 2019 - Variability of estimated ultimate recovery in shale oil and shale gas accumulations in the U.S.","interactions":[],"lastModifiedDate":"2021-04-07T11:52:04.827431","indexId":"70204725","displayToPublicDate":"2019-06-03T12:54:36","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Variability of estimated ultimate recovery in shale oil and shale gas accumulations in the U.S.","docAbstract":"

Variability of mean EURs within and between unconventional reservoirs is becoming more apparent as thousands of wells are drilled and oil and gas is produced from unconventional low-permeability reservoirs. Production from many of these reservoirs shows that there is spatial heterogeneity of EURs, which is mainly related to geologic characteristics. The more refined view of spatial heterogeneity resulting from many producing wells directly impacts the assessment of unconventional oil and gas resources through the application of more appropriate EUR distributions. The variability presented here suggests that the EURs from any one shale-oil or shale-gas accumulation should not be used as a production analog for potential shale-oil or shale-gas accumulations in frontier areas. Rather, a range of EURs utilizing several analogs is more appropriate. Shale-oil and shale-gas reservoirs were the focus of this paper, but tight-gas reservoirs and coalbed-gas reservoirs exhibit similar variation in EURs. 

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schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768197,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203599,"text":"fs20193032 - 2019 - The National Map—New data delivery homepage, advanced viewer, lidar visualization","interactions":[],"lastModifiedDate":"2019-06-05T14:09:30","indexId":"fs20193032","displayToPublicDate":"2019-06-03T12:49:53","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3032","displayTitle":"The National Map—New Data Delivery Homepage, Advanced Viewer, Lidar Visualization","title":"The National Map—New data delivery homepage, advanced viewer, lidar visualization","docAbstract":"

As one of the cornerstones of the U.S. Geological Survey’s (USGS) National Geospatial Program, The National Map is a collaborative effort among the USGS and other Federal, State, and local partners to improve and deliver topographic information for the Nation. The National Map is featuring direct links to new and improved GIS data access utilities on a refreshed data delivery homepage at https://www.usgs.gov/NationalMap/data. From the homepage, users can now quickly access topographical map products, GIS data, and the full suite of The National Map’s applications and visualization services.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193032","usgsCitation":"U.S. Geological Survey, 2019, The National Map—New data delivery homepage, advanced viewer, lidar visualization: US. Geological Survey Fact Sheet 2019–3032, 2 p., https://doi.org/10.3133/fs20193032.\n","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-106375","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":364298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3032/coverthb.jpg"},{"id":364299,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3032/fs20193032.pdf","text":"Report","size":"629 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3032"}],"contact":"

National Geospatial Program
Core Science Systems
U.S. Geological Survey
12201 Sunrise Valley Dr., MS 511 
Reston, VA 20192

","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-06-03","noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":763220,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228750,"text":"70228750 - 2019 - Long-term trajectories of fractional component change in the Northern Great Basin, USA","interactions":[],"lastModifiedDate":"2022-03-31T14:01:26.798217","indexId":"70228750","displayToPublicDate":"2019-06-03T11:22:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trajectories of fractional component change in the Northern Great Basin, USA","docAbstract":"The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem health. Remote sensing provides a cost effective and reliable method for monitoring change through time and attributing changes to drivers. We report an automated method of mapping rangeland fractional component cover over a large portion of the northern Great Basin from 1986 to 2016 using a dense Landsat imagery time-series. Our method improved upon the traditional change vector method by considering the legacy of change at each pixel. We evaluate cover trends stratified by climate bin and assess spatial and temporal relationships with climate variables. Finally, we statistically evaluate the minimum time density needed to accurately characterize temporal patterns and relationships with climate drivers. Over the 30-year period shrub cover declined and bare ground increased. While few pixels had > 10% cover change, a large majority had at least some change. All fractional components had significant spatial relationships with water year precipitation (WYPRCP), maximum temperature (WYTMAX), and minimum temperature (WYTMIN) in all years. Shrub and sagebrush cover in particular respond positively to warming WYTMIN, resulting from the largest increases in WYTMIN being in the coolest and wettest areas, and negatively to warming WYTMAX since the largest increases in WYTMAX are in the warmest and driest areas. The trade-off of lowering temporal density against removing cloud-contaminated years is justified as temporal density appears to have only a modest impact on trends and climate relationships until n ≤ 6, but multi-year gaps are proportionally more influential. Gradual change analysis is likely to be less sensitive to n than abrupt change. These data can be used to answer critical questions regarding the influence of climate change and the suitability of management practices.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2762","usgsCitation":"Rigge, M.B., Shi, H., Homer, C., Danielson, P., and Granneman, B.J., 2019, Long-term trajectories of fractional component change in the Northern Great Basin, USA: Ecosphere, v. 10, no. 6, e02762, 24 p., https://doi.org/10.1002/ecs2.2762.","productDescription":"e02762, 24 p.","ipdsId":"IP-102771","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":460369,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2762","text":"Publisher Index Page"},{"id":396119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396132,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C9O66W","text":"USGS data release","description":"USGS data release","linkHelpText":"Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Products for the Western U.S., 1985 - 2018"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Northern Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.56347656249999,\n 42.032974332441405\n ],\n [\n -118.16894531249999,\n 35.35321610123823\n ],\n [\n -112.2802734375,\n 34.59704151614417\n ],\n [\n -109.248046875,\n 38.37611542403604\n ],\n [\n -110.0830078125,\n 43.13306116240612\n ],\n [\n -112.8955078125,\n 44.02442151965934\n ],\n [\n -115.6201171875,\n 43.58039085560784\n ],\n [\n -119.35546875000001,\n 44.15068115978094\n ],\n [\n -121.025390625,\n 44.08758502824516\n ],\n [\n -122.56347656249999,\n 42.032974332441405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":835302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":835303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Homer, Collin 0000-0003-4755-8135","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":238918,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":835304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danielson, Patrick 0000-0002-2990-2783 pdanielson@usgs.gov","orcid":"https://orcid.org/0000-0002-2990-2783","contributorId":3551,"corporation":false,"usgs":true,"family":"Danielson","given":"Patrick","email":"pdanielson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":835305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Granneman, Brian J. 0000-0002-1910-0955","orcid":"https://orcid.org/0000-0002-1910-0955","contributorId":273180,"corporation":false,"usgs":true,"family":"Granneman","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":835306,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207325,"text":"70207325 - 2019 - Coast to coast: High genomic connectivity in North American scoters","interactions":[],"lastModifiedDate":"2019-12-17T10:01:26","indexId":"70207325","displayToPublicDate":"2019-06-03T09:55:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Coast to coast: High genomic connectivity in North American scoters","docAbstract":"

Dispersal shapes demographic processes and therefore is fundamental to understanding biological, ecological, and evolutionary processes acting within populations. However, assessing population connectivity in scoters (Melanitta sp.) is challenging as these species have large spatial distributions that span remote landscapes, have varying nesting distributions (disjunct vs. continuous), exhibit unknown levels of dispersal, and vary in the timing of the formation of pair bonds (winter vs. fall/spring migration) that may influence the distribution of genetic diversity. Here, we used double‐digest restriction‐associated DNA sequence (ddRAD) and microsatellite genotype data to assess population structure within the three North American species of scoter (black scoter, M. americana; white‐winged scoter, M. deglandi; surf scoter, M. perspicillata), and between their European congeners (common scoter, M. nigra; velvet scoter, M. fusca). We uncovered no or weak genomic structure (ddRAD ΦST < 0.019; microsatellite FST < 0.004) within North America but high levels of structure among European congeners (ddRAD ΦST > 0.155, microsatellite FST > 0.086). The pattern of limited genomic structure within North America is shared with other sea duck species and is often attributed to male‐biased dispersal. Further, migratory tendencies (east vs. west) of female surf and white‐winged scoters in central Canada are known to vary across years, providing additional opportunities for intracontinental dispersal and a mechanism for the maintenance of genomic connectivity across North America. In contrast, the black scoter had relatively elevated levels of divergence between Alaska and Atlantic sites and a second genetic cluster found in Alaska at ddRAD loci was concordant with its disjunct breeding distribution suggestive of a dispersal barrier (behavioral or physical). Although scoter populations appear to be connected through a dispersal network, a small percentage (<4%) of ddRAD loci had elevated divergence which may be useful in linking areas (nesting, molting, staging, and wintering) throughout the annual cycle.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5297","usgsCitation":"Sonsthagen, S.A., Wilson, R.E., Lavretsky, P., and Talbot, S.L., 2019, Coast to coast: High genomic connectivity in North American scoters: Ecology and Evolution, v. 9, no. 12, p. 7246-7261, https://doi.org/10.1002/ece3.5297.","productDescription":"16 p.","startPage":"7246","endPage":"7261","ipdsId":"IP-103119","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467564,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5297","text":"Publisher Index Page"},{"id":437433,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W7H2JK","text":"USGS data release","linkHelpText":"Scoter (Melanitta sp.) ddRAD SNP and Microsatellite Genetic Data, North America and Europe, 1977-2012"},{"id":370337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.7734375,\n 31.052933985705163\n ],\n [\n -97.03125,\n 25.799891182088334\n ],\n [\n -85.078125,\n 27.68352808378776\n ],\n [\n -79.8046875,\n 23.885837699862005\n ],\n [\n -73.125,\n 37.996162679728116\n ],\n [\n -58.00781249999999,\n 45.089035564831036\n ],\n [\n -52.3828125,\n 49.15296965617042\n ],\n [\n -63.28125,\n 60.58696734225869\n ],\n [\n -86.8359375,\n 64.92354174306496\n ],\n [\n -118.47656249999999,\n 66.51326044311185\n ],\n [\n -136.7578125,\n 65.94647177615738\n ],\n [\n -142.03125,\n 69.77895177646761\n ],\n [\n -157.1484375,\n 71.74643171904148\n ],\n [\n -166.640625,\n 68.26938680456564\n ],\n [\n -165.9375,\n 63.704722429433225\n ],\n [\n -162.421875,\n 56.75272287205736\n ],\n [\n -159.9609375,\n 56.17002298293205\n ],\n [\n -147.3046875,\n 60.413852350464914\n ],\n [\n -134.296875,\n 56.17002298293205\n ],\n [\n -127.96875,\n 47.517200697839414\n ],\n [\n -123.3984375,\n 35.746512259918504\n ],\n [\n -117.7734375,\n 31.052933985705163\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","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":777710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","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":777711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavretsky, Philip","contributorId":60542,"corporation":false,"usgs":true,"family":"Lavretsky","given":"Philip","email":"","affiliations":[],"preferred":false,"id":777712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":777713,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203677,"text":"70203677 - 2019 - Ecological islands: Conserving biodiversity hotspots in a changing climate","interactions":[],"lastModifiedDate":"2019-08-15T12:09:37","indexId":"70203677","displayToPublicDate":"2019-06-03T09:35:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Ecological islands: Conserving biodiversity hotspots in a changing climate","docAbstract":"For decades, botanists have recognized that rare plants are clustered into ecological “islands”: small and isolated habitat patches produced by landscape features such as sinkholes and bedrock outcrops. Insular ecosystems often provide unusually stressful microhabitats for plant growth (eg because of thin soils, high temperatures, extreme pH, or limited nutrients) to which rare species are specially adapted. Climate-driven shifts to these stressors may undermine the competitive advantage of stress-adapted species, allowing them to be displaced by competitors, or may overwhelm their coping strategies altogether. Special features of insular ecosystems—such as extreme habitat fragmentation and association with unusual landscape features—may also affect their climate sensitivity and adaptive capacity. To predict and manage these changes, a simple conceptual framework is presented based on a synthesis of over 300 site-level studies. Using this framework, conservation efforts can leverage existing ecological knowledge to anticipate changes in particular microhabitats and design targeted strategies for conserving rare species.","language":"English","publisher":"Wiley","doi":"10.1002/fee.2058","usgsCitation":"Cartwright, J.M., 2019, Ecological islands: Conserving biodiversity hotspots in a changing climate: Frontiers in Ecology and the Environment, v. 17, no. 6, p. 331-340, https://doi.org/10.1002/fee.2058.","productDescription":"10 p.","startPage":"331","endPage":"340","ipdsId":"IP-085608","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":467565,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2058","text":"Publisher Index Page"},{"id":364420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763567,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203701,"text":"70203701 - 2019 - An ANCOVA model for porosity and its uncertainty for oil reservoirs based on TORIS dataset","interactions":[],"lastModifiedDate":"2019-06-05T14:24:57","indexId":"70203701","displayToPublicDate":"2019-06-02T14:23:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2419,"text":"Journal of Petroleum Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"An ANCOVA model for porosity and its uncertainty for oil reservoirs based on TORIS dataset","docAbstract":"

Porosity is one of the most important parameters to assess in-place oil or gas in reservoirs, and to evaluate recovery from enhanced production operations. Since it is relatively well-established to determine porosity using different laboratory and field methods, its value is usually determined at many locations across a reservoir as part of the common practice to capture reservoir heterogeneity and the variability in values. This suite of measurements and the distribution of values are most valuable for probabilistic reservoir assessments, and for spatial modeling if the exact data locations are known.

Despite the importance of individual measurements to set the range of values for probabilistic studies, it is not always possible to access these data due to confidentiality. In most cases, commercial or publicly available databases that assessments may rely on usually report only mean values of porosity, like any other reservoir data, or they may not report a value at all. This makes both quantifying the mean value and the uncertainty around it difficult for probabilistic assessments.

In this study, the TORIS (Tertiary Oil Recovery Information System) dataset of the National Petroleum Council and the U.S. Department of Energy was used to model porosity and the uncertainty around predicted values. TORIS is an integrated dataset of production data, reservoir properties, and project databases of crude oil reservoirs in the United States. The model presented in the paper was based on ANCOVA (Analysis of Co-Variance) of data from 1038 reservoirs from the TORIS dataset for porosity prediction, validation and testing for quantitative and qualitative parameters that may be readily available in most cases, and to estimate uncertainty around the mean values. This model also explored association of porosity values to different parameters, and to different depositional systems and diagenetic overprint conditions. Furthermore, an ANN (Artificial Neural Network) model was created to compare the predicted values of both models. Results showed that the ANN model was able to represent more of the variability, however it lacked the insights that might be gained from the ANCOVA model.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.petrol.2019.05.071","usgsCitation":"Karacan, C.O., 2019, An ANCOVA model for porosity and its uncertainty for oil reservoirs based on TORIS dataset: Journal of Petroleum Science and Engineering, 24 p., https://doi.org/10.1016/j.petrol.2019.05.071.","productDescription":"24 p.","ipdsId":"IP-103341","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364371,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S092041051930525X"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":763708,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203898,"text":"70203898 - 2019 - Ecological effects of fear: How spatiotemporal heterogeneity in predation risk influences mule deer access to forage in a sky‐island system","interactions":[],"lastModifiedDate":"2019-08-15T12:27:26","indexId":"70203898","displayToPublicDate":"2019-06-02T10:49:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Ecological effects of fear: How spatiotemporal heterogeneity in predation risk influences mule deer access to forage in a sky‐island system","docAbstract":"

Forage availability and predation risk interact to affect habitat use of ungulates across many biomes. Within sky‐island habitats of the Mojave Desert, increased availability of diverse forage and cover may provide ungulates with unique opportunities to extend nutrient uptake and/or to mitigate predation risk. We addressed whether habitat use and foraging patterns of female mule deer (Odocoileus hemionus) responded to normalized difference vegetation index (NDVI), NDVI rate of change (green‐up), or the occurrence of cougars (Puma concolor). Female mule deer used available green‐up primarily in spring, although growing vegetation was available during other seasons. Mule deer and cougar shared similar habitat all year, and our models indicated cougars had a consistent, negative effect on mule deer access to growing vegetation, particularly in summer when cougar occurrence became concentrated at higher elevations. A seemingly late parturition date coincided with diminishing NDVI during the lactation period. Sky‐island populations, rarely studied, provide the opportunity to determine how mule deer respond to growing foliage along steep elevation and vegetation gradients when trapped with their predators and seasonally limited by aridity. Our findings indicate that fear of predation may restrict access to the forage resources found in sky islands.

","language":"English","publisher":"John Wiley & Sons Ltd","doi":"10.1002/ece3.5291","usgsCitation":"Lowrey, C., Longshore, K., Choate, D.M., Nagol, J.R., Sexton, J.O., and Thompson, D.B., 2019, Ecological effects of fear: How spatiotemporal heterogeneity in predation risk influences mule deer access to forage in a sky‐island system: Ecology and Evolution, v. 9, no. 12, p. 7213-7226, https://doi.org/10.1002/ece3.5291.","productDescription":"14 p.","startPage":"7213","endPage":"7226","ipdsId":"IP-081659","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467566,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5291","text":"Publisher Index Page"},{"id":437434,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CC5E8P","text":"USGS data release","linkHelpText":"Environmental covariates at Mule deer locations within the Desert National Wildlife Refuge, Nevada, 2012-2014"},{"id":364832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Desert National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.894775390625,\n 37.19314268101434\n ],\n [\n -115.9002685546875,\n 36.600094165941144\n ],\n [\n -115.6036376953125,\n 36.595684037179055\n ],\n [\n -115.59814453125001,\n 36.569217971443635\n ],\n [\n -115.49652099609375,\n 36.569217971443635\n ],\n [\n -115.48828125000001,\n 36.53391577198655\n ],\n [\n -115.4443359375,\n 36.53612263184686\n ],\n [\n -115.43609619140624,\n 36.507428541837264\n ],\n [\n -115.42236328124999,\n 36.50522086338427\n ],\n [\n -115.42236328124999,\n 36.48755716938576\n ],\n [\n -115.39764404296875,\n 36.511843709862454\n ],\n [\n -115.4608154296875,\n 36.58024660149866\n ],\n [\n -115.3839111328125,\n 36.586863023441836\n ],\n [\n -115.38665771484375,\n 36.681636065615216\n ],\n [\n -115.29602050781249,\n 36.686041276581925\n ],\n [\n -115.3070068359375,\n 37.201893907733826\n ],\n [\n -115.73547363281249,\n 37.204081555898526\n ],\n [\n -115.73547363281249,\n 37.19314268101434\n ],\n [\n -115.894775390625,\n 37.19314268101434\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"12","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lowrey, Chris 0000-0001-5084-7275","orcid":"https://orcid.org/0000-0001-5084-7275","contributorId":216375,"corporation":false,"usgs":true,"family":"Lowrey","given":"Chris","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Longshore, Kathleen 0000-0001-6621-1271","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":216374,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, David M.","contributorId":207778,"corporation":false,"usgs":false,"family":"Choate","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":764641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagol, Jyoteshwar R","contributorId":216376,"corporation":false,"usgs":false,"family":"Nagol","given":"Jyoteshwar","email":"","middleInitial":"R","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":764642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexton, Joseph O.","contributorId":191918,"corporation":false,"usgs":false,"family":"Sexton","given":"Joseph","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":764643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Daniel B.","contributorId":193518,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":764644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204164,"text":"70204164 - 2019 - Migration triggers in a large herbivore: Galapagos giant tortoises navigating resources gradients on volcanoes","interactions":[],"lastModifiedDate":"2019-07-10T09:10:00","indexId":"70204164","displayToPublicDate":"2019-06-01T14:46:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Migration triggers in a large herbivore: Galapagos giant tortoises navigating resources gradients on volcanoes","docAbstract":"

To understand how migratory behavior evolved and to predict the future of migratory species in the face of global environmental change it is important to quantify intra- and inter-individual variation in migratory behavior. Intra-individual variation includes behavioral response to changing environmental conditions and hence behavioral plasticity in the context of novel conditions. Inter-individual variation determines the degree of variation on which selection can act and the rate of evolutionary response to changes in average and extreme environmental conditions. Here we focus on variation in the partial migratory behavior of Galapagos giant tortoises (Chelonoidis spp.), which exhibit high fidelity to migratory routes over many years. We evaluate the extent and mechanisms by which tortoises adjust migration timing in response to varying annual environmental conditions, integrating movement data within a bioenergetic model of tortoise migration to quantify the fitness consequences of migration timing. We find strong inter-individual variation in the timing of migration, which was not affected by environmental conditions prevailing at the time of migration but rather by marginal expectations estimated from multi-annual averaged conditions, leading to an average annual loss in efficiency of ~15% relative to optimal timing based on year-specific conditions. These results point towards a limited ability of tortoises to adjust the timing of their migrations based on prevailing (and, by extension, future) conditions, suggesting that the adaptability of tortoise migratory behavior to changing conditions is predicated more on past “normal” conditions than responsive to current, changing conditions. Our work offers insights into the level of environmental-tuning in migratory behavior and a general framework for future research across taxa.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2658","usgsCitation":"Bastille-Rousseau, G., Yackulic, C.B., Gibbs, J.P., Friar, J.L., Cabrera, F., and Blake, S., 2019, Migration triggers in a large herbivore: Galapagos giant tortoises navigating resources gradients on volcanoes: Ecology, v. 100, no. 6, e02658; 11 p., https://doi.org/10.1002/ecy.2658.","productDescription":"e02658; 11 p.","ipdsId":"IP-100540","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":365396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Galapagos Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.7578125,\n -0.4833927027896987\n ],\n [\n -91.571044921875,\n -0.9447814006873896\n ],\n [\n -90.582275390625,\n -1.345701455472609\n ],\n [\n -89.5660400390625,\n -1.4720060101903352\n ],\n [\n -89.2034912109375,\n -0.7195855745039547\n ],\n [\n -89.9285888671875,\n 0.4394488164139768\n ],\n [\n -90.8734130859375,\n 0.6591651462894632\n ],\n [\n -91.64794921875,\n 0.10986321392741416\n ],\n [\n -91.7578125,\n -0.4833927027896987\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"100","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bastille-Rousseau, Guillaume 0000-0001-6799-639X","orcid":"https://orcid.org/0000-0001-6799-639X","contributorId":190877,"corporation":false,"usgs":false,"family":"Bastille-Rousseau","given":"Guillaume","email":"","affiliations":[{"id":40724,"text":"Cooperative Wildlife Research Laboratory and Department of Forestry, Southern Illinois University, 251 Life Science II, Mail Code 6504, Carbondale, Illinois 62901 USA","active":true,"usgs":false}],"preferred":false,"id":765767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":765766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, James P.","contributorId":102418,"corporation":false,"usgs":false,"family":"Gibbs","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":765768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friar, Jacqueline L.","contributorId":216849,"corporation":false,"usgs":false,"family":"Friar","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":39531,"text":"Dept of Environmental and Forest Biology, State Univ of New York, College of Environmental Science and Forestry, Syracuse, NY, 13210; Roosevelt Wild Life Station, State Univ of New York, College of Environmental Science and Forestry, Syracuse, NY, 13210","active":true,"usgs":false}],"preferred":false,"id":765769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cabrera, Freddy","contributorId":174102,"corporation":false,"usgs":false,"family":"Cabrera","given":"Freddy","email":"","affiliations":[],"preferred":false,"id":765770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blake, Stephen","contributorId":65339,"corporation":false,"usgs":false,"family":"Blake","given":"Stephen","email":"","affiliations":[{"id":30787,"text":"Saint Louis University","active":true,"usgs":false},{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":765771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204255,"text":"70204255 - 2019 - Application of sediment end-member analysis for understanding sediment fluxes, northern Chandeleur Islands, Louisiana","interactions":[],"lastModifiedDate":"2019-07-16T14:41:07","indexId":"70204255","displayToPublicDate":"2019-06-01T14:32:32","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Application of sediment end-member analysis for understanding sediment fluxes, northern Chandeleur Islands, Louisiana","docAbstract":"

We analyzed grain-size distributions (GSDs) from a time-series of sediment samples to evaluate sediment transport following anthropogenic sand-berm emplacement at the northern Chandeleur Islands, Louisiana. End-member analysis (EMA) was applied to compare the end-member (EM) GSD of a known sediment source to GSDs from surrounding environments and characterize the physical redistribution of source sediment over time. Although we successfully modeled a proxy borrow-source EM using pre-emplacement (2007-2008) datasets, this EM is not easily distinguishable from the modeled emergent-island EM, possibly because the baseline dataset did not provide the necessary sample distribution to distinguish the range of depositional environments. Comparison of post-emplacement (2012) samples from the berm and natural island with the proxy borrow-source EM suggests that this application of EMA can be a valuable tool for understanding sediment redistribution subsequent to restoration efforts, especially if the GSDs of the emplaced and naturally-occurring sediments are dissimilar and adequately sampled.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019—Proceedings of the 9th International Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2019 ","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, Florida","language":"English","publisher":"World Scientific Co. Pte. Ltd.","doi":"10.1142/9789811204487_0003","usgsCitation":"Bernier, J., Miselis, J.L., Buster, N.A., and Flocks, J.G., 2019, Application of sediment end-member analysis for understanding sediment fluxes, northern Chandeleur Islands, Louisiana, in Coastal Sediments 2019—Proceedings of the 9th International Conference, Tampa/St. Petersburg, Florida, May 27-31, 2019, p. 25-38, https://doi.org/10.1142/9789811204487_0003.","productDescription":"14 p.","startPage":"25","endPage":"38","ipdsId":"IP-105796","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Northern Chandeleur Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.0277099609375,\n 29.58540020340835\n ],\n [\n -88.77777099609375,\n 29.58540020340835\n ],\n [\n -88.77777099609375,\n 30.063151406016434\n ],\n [\n -89.0277099609375,\n 30.063151406016434\n ],\n [\n -89.0277099609375,\n 29.58540020340835\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204585,"text":"70204585 - 2019 - Ground-motion residuals, path effects, and crustal properties: A pilot study in southern California","interactions":[],"lastModifiedDate":"2019-08-07T09:05:26","indexId":"70204585","displayToPublicDate":"2019-06-01T11:55:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Ground-motion residuals, path effects, and crustal properties: A pilot study in southern California","docAbstract":"To improve models of ground motion estimation and probabilistic seismic hazard analyses, the engineering seismology field is moving toward developing fully nonergodic ground motion models, models specific for individual source‐to‐site paths. Previous work on this topic has examined systematic variations in ground‐motion along particular paths (from either recorded or simulated earthquake data) and has not included physical properties of the path. We present here a framework to include physical path properties, by seeking correlations between ground motion amplitudes along specific paths and crustal properties, specifically seismic velocity and anelastic attenuation, along that path. Using a large data set of small‐magnitude earthquakes recorded in Southern California, we find a correlation between the gradient of seismic S wave velocity and the path term residual, after accounting for an average geometric spreading and anelastic attenuation, indicating that heterogeneity in crustal velocity primarily controls the path‐specific attenuation. Even in aseismic regions, details of path‐specific ground motion prediction equations can be developed from crustal structure and property data.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016796","usgsCitation":"Sahakian, V., Baltay Sundstrom, A.S., Hanks, T.C., Bueler, J., Vernon, F., Kilb, D.L., and Abrahamson, N., 2019, Ground-motion residuals, path effects, and crustal properties: A pilot study in southern California: Journal of Geophysical Research B: Solid Earth, v. 124, no. 6, p. 5738-5753, https://doi.org/10.1029/2018JB016796.","productDescription":"16 p.","startPage":"5738","endPage":"5753","ipdsId":"IP-101300","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":366300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.67333984374999,\n 32.45415593941475\n ],\n [\n -114.3017578125,\n 32.45415593941475\n ],\n [\n -114.3017578125,\n 37.23032838760387\n ],\n [\n -122.67333984374999,\n 37.23032838760387\n ],\n [\n -122.67333984374999,\n 32.45415593941475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sahakian, Valerie J.","contributorId":208097,"corporation":false,"usgs":false,"family":"Sahakian","given":"Valerie J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":767639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":767640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bueler, Janine","contributorId":217838,"corporation":false,"usgs":false,"family":"Bueler","given":"Janine","email":"","affiliations":[{"id":27208,"text":"UC San Diego","active":true,"usgs":false}],"preferred":false,"id":767641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vernon, Frank","contributorId":217839,"corporation":false,"usgs":false,"family":"Vernon","given":"Frank","affiliations":[{"id":27208,"text":"UC San Diego","active":true,"usgs":false}],"preferred":false,"id":767642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilb, Deborah L.","contributorId":216380,"corporation":false,"usgs":false,"family":"Kilb","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":37799,"text":"SCRIPPS","active":true,"usgs":false}],"preferred":false,"id":767643,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abrahamson, Norm A.","contributorId":217840,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norm A.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":767644,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70240966,"text":"70240966 - 2019 - Toward a national coastal hazard forecast of total water levels","interactions":[],"lastModifiedDate":"2023-03-02T17:03:52.899364","indexId":"70240966","displayToPublicDate":"2019-06-01T10:55:49","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Toward a national coastal hazard forecast of total water levels","docAbstract":"

Storm surge and large waves combine to erode beaches, cause marsh and coral decay, and inundate low-elevation areas, resulting in hazards to coastal communities and loss of natural resources. The USGS, in collaboration with NOAA, is developing a real-time system to provide ∼ 6-day forecasts of total water levels (TWLs) combining tides, storm surge, and wave runup. TWL is compared with dune elevations along sandy coastlines to obtain regional flood and coastal hazard forecasts. The predictions are available online (https://coastal.er.usgs.gov/hurricanes/research/twlviewer/) and provide intuitive representations of regional coastal risk. Current efforts include 1) assessing skill by comparing forecasts with observations along sandy coastlines and 2) developing methods more appropriate for non-sandy coastlines (e.g., rocky, reef, marsh, cliff, and built shorelines). The vision of this work is to provide a tool for short- to medium-term coastal hazard forecasts to inform planners and emergency responders along nearly the entire US coastline.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal sediments 2019: Proceedings of the 9th international conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0120","usgsCitation":"Aretxabaleta, A., Doran, K.S., Long, J.W., and Erikson, L.H., 2019, Toward a national coastal hazard forecast of total water levels, in Coastal sediments 2019: Proceedings of the 9th international conference, v. 2019, Tampa/St. Petersburg, FL, May 27-31, 2019, p. 1373-1384, https://doi.org/10.1142/9789811204487_0120.","productDescription":"12 p","startPage":"1373","endPage":"1384","ipdsId":"IP-105292","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":413627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2019","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, Kara S. 0000-0001-8050-5727 kdoran@usgs.gov","orcid":"https://orcid.org/0000-0001-8050-5727","contributorId":148059,"corporation":false,"usgs":true,"family":"Doran","given":"Kara","email":"kdoran@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865521,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216096,"text":"70216096 - 2019 - Estimating connectivity of hard clam (Mercenaria mercenaria) and eastern oyster (Crassostrea virginica) larvae in Barnegat Bay","interactions":[],"lastModifiedDate":"2020-11-04T16:44:24.630283","indexId":"70216096","displayToPublicDate":"2019-06-01T10:39:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Estimating connectivity of hard clam (Mercenaria mercenaria) and eastern oyster (Crassostrea virginica) larvae in Barnegat Bay","docAbstract":"
Many marine organisms have a well-known adult sessile stage. Unfortunately, our lack of knowledge regarding their larval transient stage hinders our understanding of their basic ecology and connectivity. Larvae can have swimming behavior that influences their transport within the marine environment. Understanding the larval stage provides insight into population connectivity that can help strategically identify areas for restoration. Current techniques for understanding the larval stage include modeling that combines particle attributes (e.g., larval behavior) with physical processes of water movement to contribute to our understanding of connectivity trends. This study builds on those methods by using a previously developed retention clock matrix (RCM) to illustrate time dependent connectivity of two species of shellfish between areas and over a range of larval durations. The RCM was previously used on physical parameters but we expand the concept by applying it to biology. A new metric, difference RCM (DRCM), is introduced to quantify changes in connectivity under different scenarios. Broad spatial trends were similar for all behavior types with a general south to north progression of particles. The DRCMs illustrate differences between neutral particles and those with behavior in northern regions where stratification was higher, indicating that larval behavior influenced transport. Based on these findings, particle behavior led to small differences (north to south movement) in transport patterns in areas with higher salinity gradients (the northern part of the system) compared to neutral particles. Overall, the dominant direction for particle movement was from south to north, which at times was enhanced by winds from the south. Clam and oyster restoration in the southern portion of Barnegat Bay could serve as a larval supply for populations in the north. These model results show that coupled hydrodynamic and particle tracking models have implications for fisheries management and restoration activities.
","language":"English","publisher":"MDPI","doi":"10.3390/jmse7060167","usgsCitation":"Goodwin, J., Munroe, D., Defne, Z., Ganju, N., and Vasslides, J., 2019, Estimating connectivity of hard clam (Mercenaria mercenaria) and eastern oyster (Crassostrea virginica) larvae in Barnegat Bay: Estuaries and Coasts, v. 7, no. 6, 167, 17 p., https://doi.org/10.3390/jmse7060167.","productDescription":"167, 17 p.","ipdsId":"IP-095516","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467567,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse7060167","text":"Publisher Index Page"},{"id":380130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay, Little Egg Harbor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.3829345703125,\n 39.45104033807325\n ],\n [\n -74.00115966796875,\n 39.45104033807325\n ],\n [\n -74.00115966796875,\n 40.22712123211294\n ],\n [\n -74.3829345703125,\n 40.22712123211294\n ],\n [\n -74.3829345703125,\n 39.45104033807325\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodwin, J.D.","contributorId":244498,"corporation":false,"usgs":false,"family":"Goodwin","given":"J.D.","email":"","affiliations":[{"id":48920,"text":"Haskin Shellfish Research Laboratory, Rutgers University, Port Norris, NJ, USA","active":true,"usgs":false}],"preferred":false,"id":804062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munroe, D.M.","contributorId":244499,"corporation":false,"usgs":false,"family":"Munroe","given":"D.M.","email":"","affiliations":[{"id":48920,"text":"Haskin Shellfish Research Laboratory, Rutgers University, Port Norris, NJ, USA","active":true,"usgs":false}],"preferred":false,"id":804063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":804064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":804065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vasslides, James","contributorId":243603,"corporation":false,"usgs":false,"family":"Vasslides","given":"James","email":"","affiliations":[{"id":48751,"text":"Barnegat Bay Partnership","active":true,"usgs":false}],"preferred":false,"id":804066,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206732,"text":"70206732 - 2019 - Assessment of site-specific agricultural Best Management Practices in the Upper East River watershed, Wisconsin, using a field-scale SWAT model","interactions":[],"lastModifiedDate":"2019-11-19T10:28:19","indexId":"70206732","displayToPublicDate":"2019-06-01T10:23:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of site-specific agricultural Best Management Practices in the Upper East River watershed, Wisconsin, using a field-scale SWAT model","docAbstract":"The Great Lakes “Priority Watershed” effort targeted the Upper East River watershed, a 116.5 km2 tributary watershed to Green Bay in Wisconsin, to reduce sediment and nutrients entering Green Bay. A Soil and Water Assessment Tool (SWAT) model was created to determine the effectiveness of Best Management Practices (BMPs) derived from the U.S. Department of Agriculture-Natural Resources Conservation Service National Conservation Planning (NCP) Database. The model was calibrated at the monthly timestep for flow, sediment, dissolved reactive phosphorus (DRP), total phosphorus (TP), and total nitrogen (TN). Field- and watershed-scale sediment and nutrient reductions were calculated due to the implementation of 74 BMP combinations on dairy and cash grain rotations. Modeling results indicated that when multiple BMPs are placed on a field, especially those that included filter strips and grassed waterways, generally reduced sediment and nutrient loads more than a single BMP implementation. The most effective in-field practice at reducing DRP and TP on dairy fields was a combination of 5 different BMPs: cover crops, crop rotation, nutrient management plan, reduced tillage, and a filter strip. Conservation cover was the most effective practice at reducing sediment and nutrient yields. Sediment and nutrient loads decreased at the watershed scale as the quantity and coverage of BMPs increased. When all contracted NCP BMPs were simulated at the watershed scale, sediment loads were reduced 2%, while TP, DRP, TN and nitrate loads were reduced 20%, 9%, 24%, and 17%, respectively. Modeling scenarios indicated that as the number and area of BMPs were increased, sediment and nutrient load reductions were also increased.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.02.004","usgsCitation":"Merriman, K.R., Prasad Daggupati, Raghavan Srinivasan, and Hayhurst, B.A., 2019, Assessment of site-specific agricultural Best Management Practices in the Upper East River watershed, Wisconsin, using a field-scale SWAT model: Journal of Great Lakes Research, v. 3, no. 45, p. 619-641, https://doi.org/10.1016/j.jglr.2019.02.004.","productDescription":"23 p.","startPage":"619","endPage":"641","ipdsId":"IP-095539","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2019.02.004","text":"Publisher Index Page"},{"id":369326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"East River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.0609130859375,\n 44.67646564865964\n ],\n [\n -88.9947509765625,\n 44.31205742666618\n ],\n [\n -89.307861328125,\n 44.036269809534616\n ],\n [\n -89.1375732421875,\n 43.70362249839005\n ],\n [\n -88.61572265625,\n 43.432977075795606\n ],\n [\n -88.1378173828125,\n 43.504736854976954\n ],\n [\n -87.7642822265625,\n 44.48866833139464\n ],\n [\n -88.0609130859375,\n 44.67646564865964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"45","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Merriman, Katherine R. 0000-0002-1303-2410","orcid":"https://orcid.org/0000-0002-1303-2410","contributorId":203352,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prasad Daggupati","contributorId":220739,"corporation":false,"usgs":false,"family":"Prasad Daggupati","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":775580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raghavan Srinivasan","contributorId":220740,"corporation":false,"usgs":false,"family":"Raghavan Srinivasan","affiliations":[{"id":40264,"text":"Texas A& M University","active":true,"usgs":false}],"preferred":false,"id":775581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayhurst, Brett A. 0000-0002-1717-2015 bhayhurs@usgs.gov","orcid":"https://orcid.org/0000-0002-1717-2015","contributorId":3398,"corporation":false,"usgs":true,"family":"Hayhurst","given":"Brett","email":"bhayhurs@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775582,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270793,"text":"70270793 - 2019 - Recruitment dynamics and reproductive ecology of Blue Sucker in Texas, with a focus on the Big Bend region of the Rio Grande","interactions":[],"lastModifiedDate":"2025-08-26T15:27:25.645556","indexId":"70270793","displayToPublicDate":"2019-06-01T10:20:37","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-134-2020","title":"Recruitment dynamics and reproductive ecology of Blue Sucker in Texas, with a focus on the Big Bend region of the Rio Grande","docAbstract":"

Blue Sucker Cycleptus elongatus is a state-listed threatened species in Texas and is considered vulnerable throughout its range. Once considered a single, wide-ranging species, blue suckers are now recognized as a complex of closely related, but genetically and morphologically distinct species within the genus Cycleptus, including an undescribed species within the Rio Grande Basin. Numerous factors likely are driving the decline of blue suckers in Texas, including flow alteration, water quality, habitat fragmentation, and changing land-use patterns, but it is not clear how these factors interact to influence the abundance and distribution of the species. Our research integrates a variety of methodologies to provide information critical to the conservation and management of Blue Sucker in the Sabine River (Texas and Louisiana) and Colorado River (Texas) and Rio Grande Blue Sucker Cycleptus sp. cf. elongatus in the Rio Grande.

The objectives of this report are to 1) determine the habitat associations of the young-of-year (YOY) Rio Grande Blue Sucker; 2) assess the effects of flow regime on growth and recruitment of Blue Sucker in the lower Sabine River; and 3) examine differences in life-history traits of Blue Suckers and flow regime across river basins in Texas. This study is the first to quantitatively address the sequence of YOY blue sucker mesohabitat use and increases our understanding of early life history of blue suckers, and the results of this work will help to develop conservation and management strategies, e.g., prioritizing conservation areas, developing flow recommendation, etc., for blue suckers throughout their geographic distribution.

","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Miyazono, S., Pease, A., Grabowski, T.B., and Fritts, S., 2019, Recruitment dynamics and reproductive ecology of Blue Sucker in Texas, with a focus on the Big Bend region of the Rio Grande: Cooperator Science Series CSS-134-2020, ii, 63 p.","productDescription":"ii, 63 p.","ipdsId":"IP-107860","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494690,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/recruitment-dynamics-and-reproductive-ecology-blue-sucker-texas-focus-big-bend-region-rio"},{"id":494902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationDate":"2019-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Miyazono, Seiji","contributorId":360467,"corporation":false,"usgs":false,"family":"Miyazono","given":"Seiji","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":947089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pease, Allison A.","contributorId":356124,"corporation":false,"usgs":false,"family":"Pease","given":"Allison A.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":947090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit 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Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal population change of Arctic-breeding waterbirds on the Arctic Coastal Plain of Alaska","docAbstract":"Rapid physical changes that are occurring in the Arctic are primary drivers of landscape change and thus may drive population dynamics of Arctic-breeding birds. Despite the importance of this region to breeding and molting waterbirds, lack of a comprehensive analysis of historic data has hindered quantifying avian population change. We estimated distribution, abundance, and spatially explicit population trend of 20 breeding waterbird species using 25 years (1992–2016) of aerial survey data collected on the Arctic Coastal Plain (ACP), Alaska. The ACP is an extensive wetland complex on Alaska’s North Slope that supports millions of breeding waterbirds and includes portions of the National Petroleum Reserve—Alaska and the Arctic National Wildlife Refuge. We summarized annual counts into approximately 6-km by 6-km grid cells and analyzed data with generalized linear mixed models that accounted for survey timing and spatio-temporal autocorrelation. Geese and swans were most abundant along the coast between Admiralty Bay and Prudhoe Bay. Sea ducks, generalist predators (i.e., jaeger, gulls, terns), and loons were most abundant between Utqiaġvik and Point Lay, Alaska. Important areas for most species included the coastal fringe near Teshekpuk Lake, the Colville River Delta, and Admiralty Bay. The National Petroleum Reserve—Alaska was an important area for all species examined. Conversely, density on the coastal plain of the Arctic National Wildlife Refuge was greater than average for 20% of species. Annual population growth rates over the 25-year survey period were variable: 13 increased (range: 1.4%–13.8%), one decreased (-3.4%), and six were stable. However, even species with no overall population trend had areas of changing population size, suggesting localized conditions affected waterbird distributions on the ACP. Our results can be used to better inform land use decisions, improve monitoring of waterbird populations, and increase understanding of avian response to ecological change in the Arctic.","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ACE-01383-140118","usgsCitation":"Amundson, C.L., Flint, P.L., Stehn, R., Platte, R., Wilson, H.M., Larned, W.W., and Fischer, J., 2019, Spatio-temporal population change of Arctic-breeding waterbirds on the Arctic Coastal Plain of Alaska: Avian Conservation and Ecology, v. 14, no. 1, 18, 198 p., https://doi.org/10.5751/ACE-01383-140118.","productDescription":"18, 198 p.","ipdsId":"IP-095978","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01383-140118","text":"Publisher Index Page"},{"id":364827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -142.294921875,\n 69.56522590149099\n ],\n [\n -142.294921875,\n 70.1403642720717\n ],\n [\n -145.107421875,\n 70.31873847853124\n ],\n [\n -147.48046875,\n 70.4367988185464\n ],\n [\n -149.765625,\n 70.78690984117928\n ],\n [\n -151.962890625,\n 70.8734913192635\n ],\n [\n -153.544921875,\n 71.10254274232307\n ],\n [\n -154.86328125,\n 71.27259471233448\n ],\n [\n -156.4453125,\n 71.52490903732816\n ],\n [\n -158.466796875,\n 71.10254274232307\n ],\n [\n -161.54296875,\n 70.52489722821652\n ],\n [\n -164.00390625,\n 69.65708627301174\n ],\n [\n -162.158203125,\n 69.31832006949072\n ],\n [\n -160.48828125,\n 69.80930869552193\n ],\n [\n -160.75195312499997,\n 70.1403642720717\n ],\n [\n -159.345703125,\n 70.11048478105927\n ],\n [\n -147.744140625,\n 69.62651016802958\n ],\n [\n -142.294921875,\n 69.56522590149099\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":764601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":764602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stehn, Robert A","contributorId":216354,"corporation":false,"usgs":false,"family":"Stehn","given":"Robert A","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":764603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Platte, Robert","contributorId":216355,"corporation":false,"usgs":false,"family":"Platte","given":"Robert","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":764604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Heather M.","contributorId":37056,"corporation":false,"usgs":false,"family":"Wilson","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":764605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larned, William W.","contributorId":75206,"corporation":false,"usgs":false,"family":"Larned","given":"William","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":764606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischer, Julian B.","contributorId":207042,"corporation":false,"usgs":false,"family":"Fischer","given":"Julian B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":764607,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70204048,"text":"70204048 - 2019 - Constraining parameter uncertainty in modeling debris-flow initiation during the September 2013 Colorado Front Range storm","interactions":[],"lastModifiedDate":"2019-07-10T09:15:14","indexId":"70204048","displayToPublicDate":"2019-06-01T09:38:43","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Constraining parameter uncertainty in modeling debris-flow initiation during the September 2013 Colorado Front Range storm","docAbstract":"The occurrence of debris flows during the September 2013 northern Colorado floods took the emergency management community by surprise. The September 2013 debris flows in the Colorado Front Range initiated from shallow landslides in colluvium. Most occurred on south- and east-facing slopes on the walls of steep canyons in crystalline rocks and on sedimentary hogbacks. Previous studies showed that most debris flows occurred in areas of high storm-total rainfall and that strength added by tree roots accounts for the low number of landslides in densely forested areas. Given the lack of rainfall thresholds for debris flow occurrence in northern Colorado, we want to parameterize a numerical model to assess potential for debris flows in advance of heavy rainfall. Natural Resources Conservation Service (NRCS) soil mapping of the area, supplemented by laboratory testing and field measurements, indicates that soil textures and hydraulic properties of landslide source materials vary considerably over the study area. As a step toward modeling storm response, available soil and geologic mapping have been interpreted to define zones of relatively homogeneous properties. A new, simplified modeling approach for evaluating model input parameters in the context of slope and depth of observed debris flow source areas and recorded debris-flow inducing rainfall helps narrow the range of possible parameters to those most likely to produce model results consistent with observed debris flow initiation. Initial results have narrowed the strength parameters to about one third of possible combinations of cohesion and internal friction angle and narrowed hydraulic conductivity to a range spanning slightly more than one order of magnitude.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Association of Environmental and Engineering Geologists and Mountain Scholar (Colorado School of Mines)","usgsCitation":"Baum, R.L., Scheevel, C., and Jones, E.S., 2019, Constraining parameter uncertainty in modeling debris-flow initiation during the September 2013 Colorado Front Range storm, in Debris-flow hazards mitigation: Mechanics, monitoring, modeling, and assessment; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019, Golden, CO, June 10-13, 2019, p. 249-256.","productDescription":"8 p.","startPage":"249","endPage":"256","ipdsId":"IP-105457","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365179,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11124/173051"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.64865112304688,\n 40.01026122056978\n ],\n [\n -105.23529052734375,\n 40.01026122056978\n ],\n [\n -105.23529052734375,\n 40.376366869367615\n ],\n [\n -105.64865112304688,\n 40.376366869367615\n ],\n [\n -105.64865112304688,\n 40.01026122056978\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":765268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheevel, C.R. 0000-0001-6921-9404","orcid":"https://orcid.org/0000-0001-6921-9404","contributorId":216662,"corporation":false,"usgs":false,"family":"Scheevel","given":"C.R.","affiliations":[{"id":39497,"text":"BGC Engineering Inc","active":true,"usgs":false}],"preferred":false,"id":765269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Eric S. 0000-0002-9200-8442 esjones@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-8442","contributorId":4924,"corporation":false,"usgs":true,"family":"Jones","given":"Eric","email":"esjones@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":765270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250114,"text":"70250114 - 2019 - Review of Gulls simplified: A comparative approach to identification by Pete Dunne and Kevin T. Karlson","interactions":[],"lastModifiedDate":"2023-11-20T15:30:29.286949","indexId":"70250114","displayToPublicDate":"2019-06-01T09:26:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Review of Gulls simplified: A comparative approach to identification by Pete Dunne and Kevin T. Karlson","docAbstract":"

No abstract available.

","language":"English","publisher":"Great Plains Natural Science Society","usgsCitation":"MacDonald, G.J., 2019, Review of Gulls simplified: A comparative approach to identification by Pete Dunne and Kevin T. Karlson: Prairie Naturalist, v. 51, no. 1, p. 39-40.","productDescription":"2 p.","startPage":"39","endPage":"40","ipdsId":"IP-106724","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":422727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"MacDonald, Garrett J. 0000-0002-9487-7721","orcid":"https://orcid.org/0000-0002-9487-7721","contributorId":238820,"corporation":false,"usgs":true,"family":"MacDonald","given":"Garrett","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":888416,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228307,"text":"70228307 - 2019 - Discriminating among Pacific salmon, Rainbow Trout, and Atlantic Salmon species using common genetic screening methods","interactions":[],"lastModifiedDate":"2022-02-08T15:00:12.72192","indexId":"70228307","displayToPublicDate":"2019-06-01T08:43:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Discriminating among Pacific salmon, Rainbow Trout, and Atlantic Salmon species using common genetic screening methods","docAbstract":"

The five most common species of Pacific salmon, Rainbow Trout (steelhead) Oncorhynchus spp., and Atlantic Salmon Salmo salar intermingle in the North Pacific Ocean and its freshwater tributaries. Efficient morphological methods for distinguishing among these species are sometimes limited by condition of the specimen (degraded or missing morphology), life history stage, or training of the observer. Researchers have successfully applied various genetic methods to distinguish among these species when morphological analyses are not possible, but they cannot easily incorporate these methods into standard fish and wildlife population monitoring analysis workflows. Here we test five 5′–3′ exonuclease (TaqMan) assays developed from mitochondrial genes and provide novel methods that take advantage of TaqMan output to distinguish among these species. We found that combinations of as few as two of the five assays were adequate to distinguish all species. TaqMan chemistry is designed to interrogate a single nucleotide locus. We also explore the basis for the variation in the observed scatter plot distributions (variation in florescent signals) and show that this variation is due to nucleotide diversity in and near the probe site. Because the SNPs underlying the assays developed here are all physically close to one another along the mitochondrial genome, the potential exists to develop a single DNA sequence-based assay to discriminate among salmon species. This single assay can be added to a genotyping-by-sequencing panel to identify and exclude nontarget species from analyses.

","language":"English","publisher":"U.S. Fish ad Wildlife Service","doi":"10.3996/052018-JFWM-038","usgsCitation":"Habicht, C., Barclay, A., Hoyt, H.A., Smith, C.T., Turnquist, K.N., and Larson, W., 2019, Discriminating among Pacific salmon, Rainbow Trout, and Atlantic Salmon species using common genetic screening methods: Journal of Fish and Wildlife Management, v. 10, no. 1, p. 228-240, https://doi.org/10.3996/052018-JFWM-038.","productDescription":"13 p.","startPage":"228","endPage":"240","ipdsId":"IP-097772","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467570,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/052018-jfwm-038","text":"Publisher Index Page"},{"id":395613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Habicht, Christopher","contributorId":275104,"corporation":false,"usgs":false,"family":"Habicht","given":"Christopher","email":"","affiliations":[{"id":56704,"text":"Alaska Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, Andrew","contributorId":275106,"corporation":false,"usgs":false,"family":"Barclay","given":"Andrew","email":"","affiliations":[{"id":56704,"text":"Alaska Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoyt, Heather A.","contributorId":275107,"corporation":false,"usgs":false,"family":"Hoyt","given":"Heather","email":"","middleInitial":"A.","affiliations":[{"id":56704,"text":"Alaska Fish and Game","active":true,"usgs":false}],"preferred":false,"id":833652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christian T.","contributorId":275105,"corporation":false,"usgs":false,"family":"Smith","given":"Christian","email":"","middleInitial":"T.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":833650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turnquist, Keith N.","contributorId":210895,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":833653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833648,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204529,"text":"70204529 - 2019 - Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations","interactions":[],"lastModifiedDate":"2019-08-01T08:41:22","indexId":"70204529","displayToPublicDate":"2019-06-01T08:40:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1308,"text":"Computational Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations","docAbstract":"In the past decades, many different approaches have been developed in the literature to quantify the load-carrying capacity and geotechnical stability (or the Factor of Safety, F_s) of variably saturated hillslopes. Much of this work has focused on a deterministic characterization of hillslope stability. Yet, simulated F_s values are subject to considerable uncertainty due to our inability to characterize accurately the soil mantle’s properties (hydraulic, geotechnical and geomorphologic) and spatiotemporal variability of the moisture content of the hillslope interior. This is particularly true at larger spatial scales. Thus, uncertainty-incorporating analyses of physically based models of rain-induced landslides are rare in the literature. Such landslide modeling is typically conducted at the hillslope scale using gauge-based rainfall forcing data with rather poor spatiotemporal coverage. For regional landslide modeling, the specific advantages and/or disadvantages of gauge-only, radar-merged and satellite-based rainfall products are not clearly established. Here, we compare and evaluate the performance of the Transient Rainfall Infiltration and Grid-based Regional Slope-stability analysis (TRIGRS) model for three different rainfall products using 112 observed landslides in the period between 2004 and 2011 from the North Carolina Geological Survey database. Our study includes the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis Version 7 (TMPA V7), the North American Land Data Assimilation System Phase 2 (NLDAS-2) analysis, and the reference ‘truth’ Stage IV precipitation. TRIGRS model performance was rather inferior with the use of literature values of the geotechnical parameters and soil hydraulic properties from ROSETTA using soil textural and bulk density data from SSURGO (Soil Survey Geographic database). The performance of TRIGRS improved considerably after Bayesian estimation of the parameters with the DiffeRential Evolution Adaptive Metropolis (DREAM) algorithm using Stage IV precipitation data. Hereto, we use a likelihood function that combines binary slope failure information from landslide event and ‘null’ periods using multivariate frequency distribution-based metrics such as the False Discovery and False Omission Rates. Our results demonstrate that the Stage IV-inferred TRIGRS parameter distributions generalize well to TMPA and NLDAS-2 precipitation data, particularly at sites with considerably larger TMPA and NLDAS-2 rainfall amounts during landslide events than null periods. TRIGRS model performance is then rather similar for all three rainfall products. At higher elevations, however, the TMPA and NLDAS-2 precipitation volumes are insufficient and their performance with the Stage IV-derived parameter distributions indicate their inability to accurately characterize hillslope stability.","language":"English","publisher":"Springer","doi":"10.1007/s10596-018-9804-y","usgsCitation":"Yatheendradas, S., Kirschbaum, D., Nearing, G., Vrugt, J.A., Baum, R.L., Wooten, R., Lu, N., and Godt, J.W., 2019, Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations: Computational Geosciences, v. 23, no. 3, p. 495-522, https://doi.org/10.1007/s10596-018-9804-y.","productDescription":"28 p.","startPage":"495","endPage":"522","ipdsId":"IP-103255","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467571,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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University of Alabama","active":true,"usgs":false}],"preferred":false,"id":767409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vrugt, Jasper A.","contributorId":217740,"corporation":false,"usgs":false,"family":"Vrugt","given":"Jasper","email":"","middleInitial":"A.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":767410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":767411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooten, Rick","contributorId":217741,"corporation":false,"usgs":false,"family":"Wooten","given":"Rick","email":"","affiliations":[{"id":24614,"text":"North Carolina Geological Survey","active":true,"usgs":false}],"preferred":false,"id":767412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":767413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science 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No abstract available.

","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Daniel, W., 2019, USGS combats invasive species through citizen science: Natural Selections Newsletter, no. Summer, p. 12-13.","productDescription":"2 p.","startPage":"12","endPage":"13","ipdsId":"IP-107519","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":494253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Summer","noUsgsAuthors":false,"publicationDate":"2019-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":214505,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":946239,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204730,"text":"70204730 - 2019 - Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts","interactions":[],"lastModifiedDate":"2019-08-13T07:59:39","indexId":"70204730","displayToPublicDate":"2019-06-01T07:58:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts","docAbstract":"Large earthquakes initiate chains of surface processes that last much longer than the brief moments of strong shaking. Most moderate- and large-magnitude earthquakes trigger landslides, ranging from small failures in the soil cover to massive, devastating rock avalanches. Some landslides dam rivers and impound lakes, which can collapse days to centuries later, and flood mountain valleys for hundreds of kilometers downstream. Landslide deposits on slopes can remobilize during heavy rainfall and evolve into debris flows. Cracks and fractures can form and widen on mountain crests and flanks, promoting increased frequency of landslides that lasts for decades. More gradual impacts involve the flushing of excess debris downstream by rivers, which can generate bank erosion and floodplain accretion as well as channel avulsions that affect flooding frequency, settlements, ecosystems, and infrastructure. Ultimately, earthquake sequences and their geomorphic consequences alter mountain landscapes over both human and geologic time scales. Two recent events have attracted intense research into earthquake-induced landslides and their consequences: the magnitude M 7.6 Chi-Chi, Taiwan earthquake of 1999, and the M 7.9 Wenchuan, China earthquake of 2008. Using data and insights from these and several other earthquakes, we analyze how such events initiate processes that change mountain landscapes, highlight research gaps, and suggest pathways toward a more complete understanding of the seismic effects on the Earth’s surface.","language":"English","publisher":"Wiley","doi":"10.1029/2018RG000626","usgsCitation":"Fan, X., Scaringi, G., Korup, O., West, A.J., Westen, C.J., Tanyas, H., Hovius, N., Hales, T.C., Jibson, R.W., Allstadt, K.E., Zhang, L., Evans, S.G., Xu, C., , L., Pei, X., Xu, Q., and Huang, R., 2019, Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts: Reviews of Geophysics, v. 57, p. 421-503, https://doi.org/10.1029/2018RG000626.","productDescription":"83 p.","startPage":"421","endPage":"503","ipdsId":"IP-107091","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018rg000626","text":"Publisher Index Page"},{"id":366490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366480,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1029/2018RG000626"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Xuanmei","contributorId":218069,"corporation":false,"usgs":false,"family":"Fan","given":"Xuanmei","email":"","affiliations":[{"id":39733,"text":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaringi, Gianvito","contributorId":218070,"corporation":false,"usgs":false,"family":"Scaringi","given":"Gianvito","email":"","affiliations":[{"id":39734,"text":"University of Technology, Chengdu, Sichuan, China and Science, and Science, Charles University, Prague, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":768219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korup, Oliver","contributorId":218071,"corporation":false,"usgs":false,"family":"Korup","given":"Oliver","email":"","affiliations":[{"id":39735,"text":"Institute of Earth and Environmental Science, University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":768220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, A. Joshua","contributorId":200289,"corporation":false,"usgs":false,"family":"West","given":"A.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":768221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westen, Cees J. van","contributorId":218072,"corporation":false,"usgs":false,"family":"Westen","given":"Cees","email":"","middleInitial":"J. van","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":768222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tanyas, Hakan","contributorId":198731,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[],"preferred":false,"id":768223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hovius, Niels","contributorId":198733,"corporation":false,"usgs":false,"family":"Hovius","given":"Niels","email":"","affiliations":[],"preferred":false,"id":768224,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hales, Tristram C","contributorId":218073,"corporation":false,"usgs":false,"family":"Hales","given":"Tristram","email":"","middleInitial":"C","affiliations":[{"id":39736,"text":"Cardiff University, Cardiff, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":768225,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768217,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":768226,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhang, Limin","contributorId":218074,"corporation":false,"usgs":false,"family":"Zhang","given":"Limin","email":"","affiliations":[{"id":39737,"text":"The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":768227,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, Stephen G.","contributorId":179140,"corporation":false,"usgs":false,"family":"Evans","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":768228,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Xu, Chong","contributorId":196191,"corporation":false,"usgs":false,"family":"Xu","given":"Chong","email":"","affiliations":[],"preferred":false,"id":768229,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":" Li","contributorId":203216,"corporation":false,"usgs":false,"given":"Li","email":"","affiliations":[],"preferred":false,"id":768230,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pei, Xiangjun","contributorId":218075,"corporation":false,"usgs":false,"family":"Pei","given":"Xiangjun","email":"","affiliations":[{"id":39738,"text":"Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768231,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Xu, Qiang","contributorId":214818,"corporation":false,"usgs":false,"family":"Xu","given":"Qiang","email":"","affiliations":[{"id":39123,"text":"Key Laboratory of Continental Collision and Plateau Uplift, Institute of Tibetan Plateau Research and Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":768232,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Huang, Runqiu","contributorId":218076,"corporation":false,"usgs":false,"family":"Huang","given":"Runqiu","email":"","affiliations":[{"id":39733,"text":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768233,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70205838,"text":"70205838 - 2019 - Report on the workshop 'Global modelling of biodiversity and ecosystem services'","interactions":[],"lastModifiedDate":"2019-10-08T07:54:53","indexId":"70205838","displayToPublicDate":"2019-06-01T07:53:59","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Report on the workshop 'Global modelling of biodiversity and ecosystem services'","title":"Report on the workshop 'Global modelling of biodiversity and ecosystem services'","docAbstract":"A three-day workshop on ‘Global Modelling of Biodiversity and Ecosystem Services’, was held in the Hague, Netherlands, from 24th to 26th June 2019. The workshop, attended by 35 modelling and scenario-building experts, was organised on behalf of the former IPBES1 expert group on scenarios and models of the first IPBES work programme by its interim technical support unit, and hosted by the PBL Netherlands Environmental Assessment Agency.\n\nThe workshop drew on the ‘nature futures’ participatory scenario-building exercise initiated by the IPBES expert group on scenarios and models, and other biodiversity modelling initiatives such as the ISIMIP project2 working on adding biodiversity to the Shared Socioeconomic Pathways (SSPs) scenarios framework, the 'bending the curve' initiative3 led by IIASA4 and WWF5, and GEOBON6 working on modelling Essential Biodiversity Variables. The workshop was a step towards coordinating across biodiversity modelling initiatives, to build on each other’s work, and to seek synergies for the production of innovative scenarios on biodiversity and ecosystem services to inform the post-2020 agenda of the Convention on Biological Diversity, as well as the Sustainable Development Goals. The aims of the workshop were to:\n\n1. Compile material as input for a first draft of the fifth Global Biodiversity Outlook (GBO-5) based on recent scenario work, including the ‘bending the curve’ scenarios and the newly developed PBL scenarios (modified from the Rio+20 scenarios), and existing models (to be completed by August 2019)\n2. Develop a protocol for modelling trends and near term projections on indicators relevant to the Nature Futures Framework7 using models that are readily available (to be completed by early 2020)\n3. Set the agenda and define the aims for a larger meeting at the end of 2019 to discuss the long term strategy towards the development of appropriate indicators and models to produce Nature Futures scenarios (to continue beyond Jan 2020)","language":"English","publisher":"Netherlands Environmental Assessment Agency","usgsCitation":"Okayasu, S., Machteld Schoolenberg, Belder, E.D., Ghassen Halouani, HyeJin Kim, and Miller, B.W., 2019, Report on the workshop 'Global modelling of biodiversity and ecosystem services', 58 p.","productDescription":"58 p.","ipdsId":"IP-111414","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":368087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368086,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.researchgate.net/profile/Tyler_Eddy/publication/335868146_Report_on_the_workshop_'Global_Modelling_of_Biodiversity_and_Ecosystem_Services'/links/5d80fabaa6fdcc12cb96f49d/Report-on-the-workshop-Global-Modelling-of-Biodiversity-and-Ecosystem-Services.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Okayasu, Sana","contributorId":219564,"corporation":false,"usgs":false,"family":"Okayasu","given":"Sana","email":"","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Machteld Schoolenberg","contributorId":219565,"corporation":false,"usgs":false,"family":"Machteld Schoolenberg","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belder, Eefje den","contributorId":219566,"corporation":false,"usgs":false,"family":"Belder","given":"Eefje","email":"","middleInitial":"den","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ghassen Halouani","contributorId":219567,"corporation":false,"usgs":false,"family":"Ghassen Halouani","affiliations":[{"id":40025,"text":"Galway-Mayo Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":772567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"HyeJin Kim","contributorId":219568,"corporation":false,"usgs":false,"family":"HyeJin Kim","affiliations":[{"id":40026,"text":"iDiv German Centre for Integrative Biodiversity Research","active":true,"usgs":false}],"preferred":false,"id":772568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":191731,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"bwmiller@usgs.gov","middleInitial":"W.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":772563,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204562,"text":"70204562 - 2019 - Salmon, forage fish, and kelp","interactions":[],"lastModifiedDate":"2019-08-05T09:41:13","indexId":"70204562","displayToPublicDate":"2019-06-01T07:13:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Salmon, forage fish, and kelp","docAbstract":"

Kelp beds are prominent features of northeast Pacific coastlines. They are seasonal in nature, as are the communities that use them. Here, juvenile and adult Chinook salmon (Oncorhynchus tshawytscha) – key components of northeast Pacific marine food webs that link plankton and forage fishes to endangered killer whales – have just arrived at the coastal kelp beds (left) and are feeding on the large schools of forage fish such as young‐of‐the‐year herring, which are also migrating in great numbers near the shore. Juvenile herring and smelt will soon move offshore to grow and feed, and finally return as adults to spawn along shorelines.

Rapid growth is critical to the survival of young salmon. They quickly learn to work together to herd the small, skittish prey into tight groups. The kelp beds play an important role for both the salmon and their prey, providing refuge for feeding salmon and enhanced prey resources for hungry forage fish, which in turn feed incessantly at the surface of the kelp beds, except when they are disrupted by lightning‐fast attacks by marauding salmon. By October, much of the kelp will be gone, as will the juvenile salmon and forage fish, replaced by their adult congeners (right) that have traveled for years and hundreds of miles to continue the cycle.

Globally, kelp forests are in flux. Disturbances, including those induced by climate change, may have serious implications not only for this critical nearshore phase of salmon and forage fish, but also for the future viability of our cold‐water northeast Pacific marine ecosystems.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2056","usgsCitation":"Shaffer, A., Parks, D., Schoen, E.R., and Beauchamp, D., 2019, Salmon, forage fish, and kelp: Frontiers in Ecology and the Environment, v. 17, no. 5, p. 258-258, https://doi.org/10.1002/fee.2056.","productDescription":"1 p.","startPage":"258","endPage":"258","ipdsId":"IP-103000","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":467573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2056","text":"Publisher Index Page"},{"id":366094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Anne","contributorId":168504,"corporation":false,"usgs":false,"family":"Shaffer","given":"Anne","email":"","affiliations":[],"preferred":false,"id":767573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parks, Dave","contributorId":217815,"corporation":false,"usgs":false,"family":"Parks","given":"Dave","email":"","affiliations":[{"id":39695,"text":"Coastal Watershed Institute PO Box 266 Port Angeles, Washington 98362","active":true,"usgs":false}],"preferred":false,"id":767574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":767575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767576,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216023,"text":"70216023 - 2019 - Modeling ash dispersal from future eruptions of Taupo supervolcano","interactions":[],"lastModifiedDate":"2020-11-04T01:14:42.675847","indexId":"70216023","displayToPublicDate":"2019-05-31T19:04:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modeling ash dispersal from future eruptions of Taupo supervolcano","docAbstract":"

Hazard analysis at caldera volcanoes is challenging due to the wide range of eruptive and environmental conditions that can plausibly occur during renewed activity. Taupo volcano, New Zealand, is a frequently active and productive rhyolitic caldera volcano that has hosted the world's youngest known supereruption and numerous smaller explosive events. To assess ashfall hazard from future eruptions, we have simulated atmospheric ash dispersal using the Ash3d model. We consider five eruption scenarios spanning magma volumes of 0.1–500 km3 and investigate the main factors governing ash dispersal in modern atmospheric conditions. Our results are examined in the context of regional synoptic weather patterns (Kidson types) that provide a framework for assessing the variability of ashfall distribution in different wind fields. For the smallest eruptions (~0.1‐km3 magma), ashfall thicknesses >1 cm are largely confined to the central North Island, with dispersal controlled by day‐to‐day weather and the dominance of westerly winds. With increasing eruptive volume (1–5‐km3 magma), ashfall thicknesses >1 cm would likely reach major population centers throughout the North Island. Dispersal is less dependent on weather patterns as the formation of a radially expanding umbrella cloud forces ash upwind or crosswind, although strong stratospheric winds significantly restrict umbrella spreading. For large eruptions (50–500‐km3 magma), powerful expansion of the umbrella cloud results in widespread ashfall at damaging thicknesses (>10 cm) across most of the North Island and top of the South Island. Synoptic climatology may prove a useful additional technique for long‐term hazard planning at caldera volcanoes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GC008152","usgsCitation":"Barker, S.J., Van Eaton, A.R., Mastin, L.G., Wilson, C.J., Thompson, M.A., Wilson, T.M., Davis, C., and Renwick, J.A., 2019, Modeling ash dispersal from future eruptions of Taupo supervolcano: Geochemistry, Geophysics, Geosystems, v. 20, no. 7, p. 3375-3401, https://doi.org/10.1029/2018GC008152.","productDescription":"27 p.","startPage":"3375","endPage":"3401","ipdsId":"IP-106012","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467574,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gc008152","text":"Publisher Index Page"},{"id":437435,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VCPQ3I","text":"USGS data release","linkHelpText":"Data repository to Modeling ash dispersal from future eruptions of Taupo supervolcano, by S.J. Barker et al."},{"id":380105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taupo volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 175.4296875,\n -39.33429742980723\n ],\n [\n 176.572265625,\n -39.33429742980723\n ],\n [\n 176.572265625,\n -37.99616267972812\n ],\n [\n 175.4296875,\n -37.99616267972812\n ],\n [\n 175.4296875,\n -39.33429742980723\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2019-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Barker, Simon J","contributorId":244328,"corporation":false,"usgs":false,"family":"Barker","given":"Simon","email":"","middleInitial":"J","affiliations":[{"id":34109,"text":"Victoria University of Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":803778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Colin JN","contributorId":244329,"corporation":false,"usgs":false,"family":"Wilson","given":"Colin","email":"","middleInitial":"JN","affiliations":[{"id":34109,"text":"Victoria University of Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":803781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Mary Anne","contributorId":244330,"corporation":false,"usgs":false,"family":"Thompson","given":"Mary","email":"","middleInitial":"Anne","affiliations":[{"id":26898,"text":"University of Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":803782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Tom M","contributorId":244331,"corporation":false,"usgs":false,"family":"Wilson","given":"Tom","email":"","middleInitial":"M","affiliations":[{"id":48892,"text":"University of Canterbury, New Zealand","active":true,"usgs":false}],"preferred":false,"id":803783,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Cory","contributorId":244332,"corporation":false,"usgs":false,"family":"Davis","given":"Cory","email":"","affiliations":[{"id":48893,"text":"Meteorological Service of New Zealand","active":true,"usgs":false}],"preferred":false,"id":803784,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Renwick, James A","contributorId":244333,"corporation":false,"usgs":false,"family":"Renwick","given":"James","email":"","middleInitial":"A","affiliations":[{"id":34109,"text":"Victoria University of Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":803785,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}