Recent efforts to advance river connectivity for the Millstone River watershed in New Jersey have led to the evaluation of a low-flow gauging weir that spans the full width of the river. The methods and results of a desktop modelling exercise were used to evaluate the potential ability of three anadromous fish species (Alosa sapidissima [American shad], Alosa pseudoharengus [alewife], and Alosa aestivalis [blueback herring]) to pass upstream over the U.S. Geological Survey Blackwells Mills streamgage (01402000) and weir on the Millstone River, New Jersey, at various streamflows, and to estimate the probability that the weir will be passable during the spring migratory season.
Based on data from daily fishway counts downstream from the Blackwells Mills streamgage and weir between 1996 and 2014, the general migratory period was defined as April 14 to May 28. Recorded water levels and flow data were used to theoretically estimate water depths and velocities over the weir, as well as flow exceedances occurring during the migratory period.
Results indicate that the weir is a potential depth barrier to fish passage when streamflows are below 200 cubic feet per second using a 1-body-depth criterion for American shad (the largest fish among the target species). Streamflows in that range occur on average 35 percent of the time during the migratory period. An increase of the depth criterion to 2 body depths causes the weir to become a possible barrier to passage when flows are below 400 cubic feet per second. Streamflows in that range occur on average 73 percent of the time during the migration season. Average cross-sectional velocities at several points along the weir do not seem to be limiting to the fish migration, but maximum theoretical velocities estimated without friction loss over the face of the weir could be potentially limiting.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175103","usgsCitation":"Haro, Alex, Mulligan, Kevin, Suro, T.P., Noreika, John, and McHugh, Amy, 2017, Hydraulic and biological analysis of the passability of select fish species at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey: U.S. Geological Survey Scientific Investigations Report 2017–5103, 15 p., https://doi.org/10.3133/sir20175103.","productDescription":"viii, 15 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-082637","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":346487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5103/coverthb.jpg"},{"id":346491,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5103/sir20175103.pdf","text":"Report","size":"3.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5103"}],"country":"United States","state":"New Jersey","otherGeospatial":"Millstone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.66995239257812,\n 40.45060475430765\n ],\n [\n -74.48867797851562,\n 40.45060475430765\n ],\n [\n -74.48867797851562,\n 40.567545853080496\n ],\n [\n -74.66995239257812,\n 40.567545853080496\n ],\n [\n -74.66995239257812,\n 40.45060475430765\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430
Email: gs_nea_lsc_publications@usgs.gov
Steady-state simulations using a revised regional groundwater-flow model based on MODFLOW were run to assess the potential long-term effects on the Upper Floridan aquifer (UFA) of pumping the Lower Floridan aquifer (LFA) at well 36Q398, located at Barbour Pointe in coastal Georgia near Savannah. Simulated pumping of well 36Q398 at a rate of 750 gallons per minute (gal/min; or 1.08 million gallons per day [Mgal/d]) indicated a maximum drawdown of about 2.19 feet (ft) in the UFA directly above the pumped well and at least 1 ft of drawdown within a nearly 190-square-mile area (scenario A). Induced vertical leakage from the UFA provided about 98 percent of the water to the pumped well. Simulated pumping of well 36Q398 caused increased downward leakage in all layers above the LFA, decreased upward leakage in all layers above the LFA, increased inflow to and decreased outflow from lateral specified-head boundaries in the UFA and LFA, and an increase in the volume of induced inflow from the general-head boundary representing outcrop units. Water budgets for scenario A indicated that changes in inflows and outflows through general-head boundaries would compose about 45 percent of the simulated pumpage from well 36Q398, with the remaining 55 percent of the pumped water derived from flow across lateral specified-head boundaries.
Additional steady-state simulations were run to evaluate a pumping rate in the UFA of 240 gal/min (0.346 Mgal/d), which would produce an equivalent maximum drawdown in the UFA as pumping from well 36Q398 in the LFA at a rate of 750 gal/min (called the “drawdown offset”; scenario B). Simulated pumping in the UFA for the drawdown offset produced about 2.18 ft of drawdown, comparable to 2.19 ft of drawdown in the UFA simulated in scenario A. Water budgets for scenario B also provided favorable comparisons with scenario A, indicating that 42 percent of the drawdown-offset pumpage (0.346 Mgal/d) in the UFA originates as increased inflow and decreased outflow across general-head boundaries from overlying units in the surficial and Brunswick aquifer systems and that the remaining simulated pumpage originates as flow across general- and specified-head boundaries within the UFA and LFA.
The revised model was evaluated for sensitivity by first altering horizontal and vertical hydraulic conductivity in the Lower Floridan semiconfining unit and then adjusting horizontal and vertical hydraulic conductivity in the LFA to match the 35.6 ft of drawdown at pumping well 36Q398. These adjustments also affected the maximum simulated drawdown in the UFA and the equivalent offset pumping in the UFA that would produce the same amount of drawdown. The maximum drawdown in the UFA ranged from 1.82 to 2.57 ft and the equivalent offset pumping in the UFA ranged from 199 to 278 gal/min.
The revised model reasonably depicts changes in groundwater levels resulting from pumping the LFA at Barbour Pointe at a rate of 750 gal/min. Results are limited, however, by the same model assumptions and design as the original model, and placement of boundaries and type of boundary used exert the greatest control on overall groundwater flow and interaquifer leakage in the system. Simulation results have improved regional characterization of the Floridan aquifer system, which could be used by State officials in evaluating requests for groundwater withdrawal from the LFA.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175085","collaboration":"Prepared in cooperation with Consolidated Utilities LLC","usgsCitation":"Cherry, G.S., and Clarke, J.S., 2017, Simulated effects of Lower Floridan aquifer pumping on the Upper Floridan aquifer at Barbour Pointe, Chatham County, Georgia: U.S. Geological Survey Scientific Investigations Report 2017–5085, 34 p., https://doi.org/10.3133/sir20175085.","productDescription":"Report: vi, 34 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-045187","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":346501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5085/sir20175085.pdf","text":"Report","description":"SIR 2017-5085"},{"id":346500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5085/coverthb.jpg"},{"id":346502,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VH5KZ1","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"MODFLOW grid for simulations used to evaluate the potential effect of Lower Floridan aquifer groundwater pumpage on the Upper Floridan aquifer at Barbour Pointe community in Chatham County, Georgia"}],"country":"United States","state":"Georgia","county":"Chatham County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.3922119140625,\n 32.09595459833164\n ],\n [\n -81.13883972167969,\n 31.717654042594468\n ],\n [\n -80.82847595214842,\n 32.02146689475617\n ],\n [\n -81.17729187011719,\n 32.24823229303316\n ],\n [\n -81.3922119140625,\n 32.09595459833164\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210
Here, we report a draft genome sequence of a picorna-like virus associated with brook trout, Salvelinus fontinalis, gill tissue. The draft genome comprises 8,681 nucleotides, excluding the poly(A) tract, and contains two open reading frames. It is most similar to picorna-like viruses that infect invertebrates.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/genomeA.01022-17","usgsCitation":"Iwanowicz, L.R., Iwanowicz, D.D., Adams, C.R., Galbraith, H.S., Aunins, A.W., and Cornman, R.S., 2017, Draft genome sequence of a picorna-like virus associated with gill tissue in clinically normal brook trout, Salvelinus fontinalis: Genome Announcements, v. 41, no. 5, p. 1-2, https://doi.org/10.1128/genomeA.01022-17.","productDescription":"e01022-17; 2 p.","startPage":"1","endPage":"2","ipdsId":"IP-089868","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.01022-17","text":"Publisher Index Page"},{"id":346569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d098e4b05fe04cd117a6","contributors":{"authors":[{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Cynthia R. 0000-0003-4383-530X cradams@usgs.gov","orcid":"https://orcid.org/0000-0003-4383-530X","contributorId":176965,"corporation":false,"usgs":true,"family":"Adams","given":"Cynthia","email":"cradams@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712349,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191482,"text":"70191482 - 2017 - Climatic history of the northeastern United States during the past 3000 years","interactions":[],"lastModifiedDate":"2017-10-13T16:11:47","indexId":"70191482","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Climatic history of the northeastern United States during the past 3000 years","docAbstract":"Many ecosystem processes that influence Earth system feedbacks, including vegetation growth, water and nutrient cycling, and disturbance regimes, are strongly influenced by multi-decadal to millennial-scale variations in climate that cannot be captured by instrumental climate observations. Paleoclimate information is therefore essential for understanding contemporary ecosystems and their potential trajectories under a variety of future climate conditions. With the exception of fossil pollen records, there are a limited number of northeastern US (NE US) paleoclimate archives that can provide constraints on its temperature and hydroclimate history. Moreover, the records that do exist have not been considered together. Tree-ring data indicate that the 20th century was one of the wettest of the past 500 years in the eastern US (Pederson et al., 2014), and lake-level records suggest it was one of the wettest in the Holocene (Newby et al., 2014); how such results compare with other available data remains unclear, however. Here we conduct a systematic review, assessment, and comparison of paleotemperature and paleohydrological proxies from the NE US for the last 3000 years. Regional temperature reconstructions are consistent with the long-term cooling trend (1000 BCE–1700 CE) evident in hemispheric-scale reconstructions, but hydroclimate reconstructions reveal new information, including an abrupt transition from wet to dry conditions around 550–750 CE. NE US paleo data suggest that conditions during the Medieval Climate Anomaly were warmer and drier than during the Little Ice Age, and drier than today. There is some evidence for an acceleration over the past century of a longer-term wetting trend in the NE US, and coupled with the abrupt shift from a cooling trend to a warming trend from increased greenhouse gases, may have wide-ranging implications for species distributions, ecosystem dynamics, and extreme weather events. More work is needed to gather paleoclimate data in the NE US, make inter-proxy comparisons, and improve estimates of uncertainty in the reconstructions.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/cp-2016-104","usgsCitation":"Marlon, J.R., Pederson, N., Nolan, C., Goring, S., Shuman, B., Robertson, A., Booth, R.K., Bartlein, P.J., Berke, M.A., Clifford, M., Cook, E., Dieffenbacher-Krall, A., Dietze, M.C., Hessl, A., Hubeny, J.B., Jackson, S.T., Marsicek, J., McLachlan, J.S., Mock, C.J., Moore, D.J., Nichols, J., Peteet, D.M., Schaefer, K., Trouet, V., Umbanhowar, C., Williams, J.W., and Yu, Z., 2017, Climatic history of the northeastern United States during the past 3000 years: Climate of the Past, v. 13, p. 1355-1379, https://doi.org/10.5194/cp-2016-104.","productDescription":"25 p.","startPage":"1355","endPage":"1379","ipdsId":"IP-080505","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":461389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-2016-104","text":"Publisher Index Page"},{"id":346607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d097e4b05fe04cd117a0","contributors":{"authors":[{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":712391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Neil","contributorId":149422,"corporation":false,"usgs":false,"family":"Pederson","given":"Neil","email":"","affiliations":[{"id":17731,"text":"Research Scientist, Tree Ring Laboratory, Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":712392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, Connor","contributorId":197051,"corporation":false,"usgs":false,"family":"Nolan","given":"Connor","affiliations":[],"preferred":false,"id":712393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":712491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shuman, Bryan","contributorId":99039,"corporation":false,"usgs":true,"family":"Shuman","given":"Bryan","affiliations":[],"preferred":false,"id":712492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Ann","contributorId":197075,"corporation":false,"usgs":false,"family":"Robertson","given":"Ann","email":"","affiliations":[],"preferred":false,"id":712493,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Booth, Robert K.","contributorId":17177,"corporation":false,"usgs":true,"family":"Booth","given":"Robert","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":712494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bartlein, Patrick J.","contributorId":106879,"corporation":false,"usgs":true,"family":"Bartlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712495,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Berke, Melissa A.","contributorId":197076,"corporation":false,"usgs":false,"family":"Berke","given":"Melissa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712496,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clifford, Michael","contributorId":197077,"corporation":false,"usgs":false,"family":"Clifford","given":"Michael","email":"","affiliations":[],"preferred":false,"id":712497,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cook, Edward","contributorId":197078,"corporation":false,"usgs":false,"family":"Cook","given":"Edward","affiliations":[],"preferred":false,"id":712498,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dieffenbacher-Krall, Ann","contributorId":197079,"corporation":false,"usgs":false,"family":"Dieffenbacher-Krall","given":"Ann","email":"","affiliations":[],"preferred":false,"id":712499,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dietze, Michael C.","contributorId":15908,"corporation":false,"usgs":true,"family":"Dietze","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":712500,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hessl, Amy","contributorId":50594,"corporation":false,"usgs":true,"family":"Hessl","given":"Amy","affiliations":[],"preferred":false,"id":712501,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hubeny, J. Bradford","contributorId":197080,"corporation":false,"usgs":false,"family":"Hubeny","given":"J.","email":"","middleInitial":"Bradford","affiliations":[],"preferred":false,"id":712502,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":712503,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Marsicek, Jeremiah","contributorId":197081,"corporation":false,"usgs":false,"family":"Marsicek","given":"Jeremiah","email":"","affiliations":[],"preferred":false,"id":712504,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McLachlan, Jason S.","contributorId":167179,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712505,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Mock, Cary J.","contributorId":87323,"corporation":false,"usgs":true,"family":"Mock","given":"Cary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712506,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Moore, David J. P.","contributorId":169810,"corporation":false,"usgs":false,"family":"Moore","given":"David","email":"","middleInitial":"J. P.","affiliations":[],"preferred":false,"id":712507,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Nichols, Jonathan M.","contributorId":45945,"corporation":false,"usgs":true,"family":"Nichols","given":"Jonathan M.","affiliations":[],"preferred":false,"id":712508,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Peteet, Dorothy M. 0000-0003-3029-7506","orcid":"https://orcid.org/0000-0003-3029-7506","contributorId":147523,"corporation":false,"usgs":false,"family":"Peteet","given":"Dorothy","email":"","middleInitial":"M.","affiliations":[{"id":16858,"text":"Goddard Institute","active":true,"usgs":false}],"preferred":false,"id":712509,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Schaefer, Kevin","contributorId":63323,"corporation":false,"usgs":true,"family":"Schaefer","given":"Kevin","affiliations":[],"preferred":false,"id":712510,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Trouet, Valerie","contributorId":197082,"corporation":false,"usgs":false,"family":"Trouet","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":712511,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Umbanhowar, Charles","contributorId":197083,"corporation":false,"usgs":false,"family":"Umbanhowar","given":"Charles","affiliations":[],"preferred":false,"id":712512,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Williams, John W.","contributorId":16761,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712513,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Yu, Zicheng 0000-0003-2358-2712","orcid":"https://orcid.org/0000-0003-2358-2712","contributorId":147521,"corporation":false,"usgs":false,"family":"Yu","given":"Zicheng","email":"","affiliations":[{"id":16857,"text":"Lehigh Univ.","active":true,"usgs":false}],"preferred":false,"id":712514,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70191489,"text":"70191489 - 2017 - Revision of the jawfish genus Lonchopisthus with description of a new Atlantic species (Teleostei: Opistognathidae)","interactions":[],"lastModifiedDate":"2017-10-13T15:48:27","indexId":"70191489","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5514,"text":"Journal of the Ocean Science Foundation","active":true,"publicationSubtype":{"id":10}},"title":"Revision of the jawfish genus Lonchopisthus with description of a new Atlantic species (Teleostei: Opistognathidae)","docAbstract":"Synonymies, diagnoses, descriptions, illustrations, an identification key, and meristic frequency tables are provided for all species of Lonchopisthus. Most of the skeletal anatomy of L. higmani is also illustrated. A new jawfish, Lonchopisthus ancistrus n. sp., is described from the Gulf of Mexico and off Honduras based on 21 specimens 41–89 mm SL. The new species differs from other congeners by the following combination of characters: the posterior end of the maxilla strongly hooked; the membrane connecting the maxilla and premaxilla and the inner membrane covering the posterior part of the dentary pale; segmented dorsal-fin rays 11–13, with unbranched rays 2–5; longitudinal body-scale rows 33–39; and very long pelvic fins, 39.4–75.3% SL. Lonchopisthus lemur (and its synonym L. meadi) shares most characters with L. ancistrus, but differs in having shorter pelvic fins, 19.2–29.9% SL; fewer longitudinal body-scale rows, 26–33; and 5 infraorbitals (vs. 4). Both are relatively deep-water species, occurring from 100 m to at least 375 m (vs. 3–139 m in the other species). Lonchopisthus micrognathus is unique in having no branched caudal-fin rays at any size and the middle caudal-fin rays with free tips that may be used to maintain tactile contact with the substrate while hovering over its burrow. The western Atlantic Lonchopisthus higmani and eastern Pacific L. sinuscalifornicus are sister species that differ from the other Atlantic species in having the posterior end of the maxilla with a notch instead of a strong hook, the opercle with a large dark blotch, and one supraneural (vs. no supraneural).
","language":"English","publisher":"Ocean Science Foundation","doi":"10.5281/zenodo.1001056","usgsCitation":"Smith-Vaniz, W.F., and Walsh, S.J., 2017, Revision of the jawfish genus Lonchopisthus with description of a new Atlantic species (Teleostei: Opistognathidae): Journal of the Ocean Science Foundation, v. 28, p. 52-89, https://doi.org/10.5281/zenodo.1001056.","productDescription":"38 p.","startPage":"52","endPage":"89","ipdsId":"IP-090314","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":346603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d095e4b05fe04cd11796","contributors":{"authors":[{"text":"Smith-Vaniz, William F.","contributorId":152526,"corporation":false,"usgs":false,"family":"Smith-Vaniz","given":"William","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":712422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Stephen J. 0000-0002-1009-8537 swalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-1009-8537","contributorId":1456,"corporation":false,"usgs":true,"family":"Walsh","given":"Stephen","email":"swalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":712421,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191495,"text":"70191495 - 2017 - Assessing monkeypox virus prevalence in small mammals at the human-animal interface in the Democratic Republic of the Congo","interactions":[],"lastModifiedDate":"2017-10-16T13:25:43","indexId":"70191495","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Assessing monkeypox virus prevalence in small mammals at the human-animal interface in the Democratic Republic of the Congo","docAbstract":"During 2012, 2013 and 2015, we collected small mammals within 25 km of the town of Boende in Tshuapa Province, the Democratic Republic of the Congo. The prevalence of monkeypox virus (MPXV) in this area is unknown; however, cases of human infection were previously confirmed near these collection sites. Samples were collected from 353 mammals (rodents, shrews, pangolins, elephant shrews, a potamogale, and a hyrax). Some rodents and shrews were captured from houses where human monkeypox cases have recently been identified, but most were trapped in forests and agricultural areas near villages. Real-time PCR and ELISA were used to assess evidence of MPXV infection and other Orthopoxvirus (OPXV) infections in these small mammals. Seven (2.0%) of these animal samples were found to be anti-orthopoxvirus immunoglobulin G (IgG) antibody positive (six rodents: two Funisciurus spp.; one Graphiurus lorraineus; one Cricetomys emini; one Heliosciurus sp.; one Oenomys hypoxanthus, and one elephant shrew Petrodromus tetradactylus); no individuals were found positive in PCR-based assays. These results suggest that a variety of animals can be infected with OPXVs, and that epidemiology studies and educational campaigns should focus on animals that people are regularly contacting, including larger rodents used as protein sources.
","language":"English","publisher":"MDPI","doi":"10.3390/v9100283","usgsCitation":"Doty, J.B., Malekani, J.M., Kalemba, L.N., Stanley, W.T., Monroe, B.P., Nakazawa, Y.J., Mauldin, M.R., Bakambana, T.L., Liyandja Dja Liyandja, T., Braden, Z., Wallace, R., Malekani, D.V., McCollum, A.M., Gallardo-Romero, N., Kondas, A., Peterson, A.T., Osorio, J.E., Rocke, T.E., Karem, K.L., Emerson, G.L., and Carroll, D.S., 2017, Assessing monkeypox virus prevalence in small mammals at the human-animal interface in the Democratic Republic of the Congo: Viruses, v. 9, no. 10, p. 1-13, https://doi.org/10.3390/v9100283.","productDescription":"Article 283; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-090580","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v9100283","text":"Publisher Index Page"},{"id":346601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Democratic Republic of the Congo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 20.7147216796875,\n -0.48888566912309733\n ],\n [\n 21.067657470703125,\n -0.48888566912309733\n ],\n [\n 21.067657470703125,\n 0.023345946619616247\n ],\n [\n 20.7147216796875,\n 0.023345946619616247\n ],\n [\n 20.7147216796875,\n -0.48888566912309733\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-03","publicationStatus":"PW","scienceBaseUri":"59e1d092e4b05fe04cd11792","contributors":{"authors":[{"text":"Doty, Jeffrey 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Zachary","contributorId":150109,"corporation":false,"usgs":false,"family":"Braden","given":"Zachary","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":712594,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wallace, Ryan","contributorId":127639,"corporation":false,"usgs":false,"family":"Wallace","given":"Ryan","email":"","affiliations":[{"id":7094,"text":"Grad Student, School of Marine & Atmospheric Sciences, Stony Brook Univ","active":true,"usgs":false}],"preferred":false,"id":712595,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Malekani, Divin V.","contributorId":197108,"corporation":false,"usgs":false,"family":"Malekani","given":"Divin","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":712596,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McCollum, Andrea M.","contributorId":197109,"corporation":false,"usgs":false,"family":"McCollum","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712597,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gallardo-Romero, Nadia","contributorId":150104,"corporation":false,"usgs":false,"family":"Gallardo-Romero","given":"Nadia","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":712598,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kondas, Ashley","contributorId":197110,"corporation":false,"usgs":false,"family":"Kondas","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":712599,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Peterson, A. Townsend","contributorId":150134,"corporation":false,"usgs":false,"family":"Peterson","given":"A.","email":"","middleInitial":"Townsend","affiliations":[],"preferred":false,"id":712600,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":712601,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":712444,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Karem, Kevin L.","contributorId":150111,"corporation":false,"usgs":false,"family":"Karem","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":712602,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Emerson, Ginny L.","contributorId":197111,"corporation":false,"usgs":false,"family":"Emerson","given":"Ginny","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712603,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Carroll, Darin S.","contributorId":196078,"corporation":false,"usgs":false,"family":"Carroll","given":"Darin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712604,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70191494,"text":"70191494 - 2017 - Protection of bats (Eptesicus fuscus) against rabies following topical or oronasal exposure to a recombinant raccoon poxvirus vaccine","interactions":[],"lastModifiedDate":"2017-10-13T15:43:43","indexId":"70191494","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Protection of bats (Eptesicus fuscus) against rabies following topical or oronasal exposure to a recombinant raccoon poxvirus vaccine","title":"Protection of bats (Eptesicus fuscus) against rabies following topical or oronasal exposure to a recombinant raccoon poxvirus vaccine","docAbstract":"Rabies is an ancient neglected tropical disease that causes tens of thousands of human deaths and millions of cattle deaths annually. In order to develop a new vaccine for potential use in bats, a reservoir of rabies infection for humans and animals alike, an in silico antigen designer tool was used to create a mosaic glycoprotein (MoG) gene using available sequences from the rabies Phylogroup I glycoprotein. This sequence, which represents strains more likely to occur in bats, was cloned into raccoonpox virus (RCN) and the efficacy of this novel RCN-MoG vaccine was compared to RCN-G that expresses the glycoprotein gene from CVS-11 rabies or luciferase (RCN-luc, negative control) in mice and big brown bats (Eptesicus fuscus). Mice vaccinated and boosted intradermally with 1 x 107 plaque forming units (PFU) of each RCN-rabies vaccine construct developed neutralizing antibodies and survived at significantly higher rates than controls. No significant difference in antibody titers or survival was noted between rabies-vaccinated groups. Bats were vaccinated either oronasally (RCN-G, RCN-MoG) with 5x107 PFU or by topical application in glycerin jelly (RCN-MoG, dose 2x108 PFU), boosted (same dose and route) at 46 days post vaccination (dpv), and then challenged with wild-type big brown variant RABV at 65 dpv. Prior to challenge, 90% of RCN-G and 75% of RCN-MoG oronasally vaccinated bats had detectable levels of serum rabies neutralizing antibodies. Bats from the RCN-luc and topically vaccinated RCN-MoG groups did not have measurable antibody responses. The RCN-rabies constructs were highly protective and not significantly different from each other. RCN-MoG provided 100% protection (n = 9) when delivered oronasally and 83% protection (n = 6) when delivered topically; protection provided by the RCN-G construct was 70% (n = 10). All rabies-vaccinated bats survived at a significantly (P ≤ 0.02) higher rate than control bats (12%; n = 8). We have demonstrated the efficacy of a novel, in silico designed rabies MoG antigen that conferred protection from rabies challenge in mice and big brown bats in laboratory studies. With further development, topical or oronasal administration of the RCN-MoG vaccine could potentially mitigate rabies in wild bat populations, reducing spillover of this deadly disease into humans, domestic mammals, and other wildlife.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pntd.0005958","usgsCitation":"Stading, B., Ellison, J.A., Carson, W.C., Satheshkumar, P.S., Rocke, T.E., and Osorio, J.E., 2017, Protection of bats (Eptesicus fuscus) against rabies following topical or oronasal exposure to a recombinant raccoon poxvirus vaccine: PLoS Neglected Tropical Diseases, v. 11, no. 10, e0005958; 19 p., https://doi.org/10.1371/journal.pntd.0005958.","productDescription":"e0005958; 19 p.","ipdsId":"IP-088400","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0005958","text":"Publisher Index Page"},{"id":346602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-04","publicationStatus":"PW","scienceBaseUri":"59e1d094e4b05fe04cd11794","contributors":{"authors":[{"text":"Stading, Ben","contributorId":197065,"corporation":false,"usgs":false,"family":"Stading","given":"Ben","affiliations":[],"preferred":false,"id":712439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, James A.","contributorId":197066,"corporation":false,"usgs":false,"family":"Ellison","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carson, William C.","contributorId":197067,"corporation":false,"usgs":false,"family":"Carson","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":712441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Satheshkumar, Panayampalli Subbian","contributorId":197068,"corporation":false,"usgs":false,"family":"Satheshkumar","given":"Panayampalli","email":"","middleInitial":"Subbian","affiliations":[],"preferred":false,"id":712442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":712438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":712443,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191484,"text":"70191484 - 2017 - Downstream migration and multiple dam passage by Atlantic Salmon smolts","interactions":[],"lastModifiedDate":"2017-10-13T12:51:37","indexId":"70191484","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Downstream migration and multiple dam passage by Atlantic Salmon smolts","docAbstract":"The purpose of this study was to investigate behavior and survival of radio-tagged wild and hatchery-reared landlocked Atlantic Salmon Salmo salar smolts as they migrated past three hydropower dams equipped with fish bypass solutions in the Winooski River, Vermont. Among hatchery-reared smolts, those released early were more likely to initiate migration and did so after less delay than those released late. Once migration was initiated, however, the late-released hatchery smolts migrated at greater speeds. Throughout the river system, hatchery-reared fish performed similarly to wild fish. Dam passage rates varied between the three dams and was highest at the dam where unusually high spill levels occurred throughout the study period. Of the 50 fish that did migrate downstream, only 10% managed to reach the lake. Migration success was low despite the presence of bypass solutions, underscoring the need for evaluations of remedial measures; simply constructing a fishway is not synonymous with providing fish passage.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2017.1327900","usgsCitation":"Nyqvist, D., McCormick, S.D., Greenberg, L., Ardren, W., Bergman, E., Calles, O., and Castro-Santos, T.R., 2017, Downstream migration and multiple dam passage by Atlantic Salmon smolts: North American Journal of Fisheries Management, v. 37, no. 4, p. 816-828, https://doi.org/10.1080/02755947.2017.1327900.","productDescription":"13 p.","startPage":"816","endPage":"828","ipdsId":"IP-078061","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":346593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Winooski River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.28910827636717,\n 44.3768766587829\n ],\n [\n -72.93342590332031,\n 44.3768766587829\n ],\n [\n -72.93342590332031,\n 44.54448397425684\n ],\n [\n -73.28910827636717,\n 44.54448397425684\n ],\n [\n -73.28910827636717,\n 44.3768766587829\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"59e1d096e4b05fe04cd1179d","contributors":{"authors":[{"text":"Nyqvist, D.","contributorId":197052,"corporation":false,"usgs":false,"family":"Nyqvist","given":"D.","affiliations":[],"preferred":false,"id":712397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":712398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenberg, L.","contributorId":184176,"corporation":false,"usgs":false,"family":"Greenberg","given":"L.","email":"","affiliations":[],"preferred":false,"id":712399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ardren, W.R.","contributorId":197053,"corporation":false,"usgs":false,"family":"Ardren","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":712400,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergman, E.","contributorId":184179,"corporation":false,"usgs":false,"family":"Bergman","given":"E.","email":"","affiliations":[],"preferred":false,"id":712401,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calles, O.","contributorId":184178,"corporation":false,"usgs":false,"family":"Calles","given":"O.","email":"","affiliations":[],"preferred":false,"id":712402,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712396,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191488,"text":"70191488 - 2017 - Productivity and CO2 exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates","interactions":[],"lastModifiedDate":"2017-10-18T17:09:03","indexId":"70191488","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Productivity and CO2 exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates","docAbstract":"The shortgrass steppe (SGS) occupies the southwestern part of the Great Plains. Half of the land is cultivated, but significant areas remain under natural vegetation. Despite previous studies of the SGS carbon cycle, not all aspects have been completely addressed, including gross productivity, ecosystem respiration, and ecophysiological parameters. Our analysis of 1998 − 2007 flux tower measurements at five Bowen ratio–energy balance (BREB) and three eddy covariance (EC) sites characterized seasonal and interannual variability of gross photosynthesis and ecosystem respiration. Identification of the nonrectangular hyperbolic equation for the diurnal CO2 exchange, with vapor pressure deficit (VPD) limitation and exponential temperature response, quantified quantum yield α, photosynthetic capacity Amax, and respiration rate rd with variation ranges (19 \\< α \\< 51 mmol mol− 1, 0.48 \\< Amax \\< 2.1 mg CO2 m− 2 s− 1, 0.15 \\< rd \\< 0.49 mg CO2 m− 2 s− 1). Gross photosynthesis varied from 1 100 to 2 700 g CO2 m− 2 yr− 1, respiration from 900 to 3,000 g CO2 m− 2 yr− 1, and net ecosystem production from − 900 to + 700 g CO2 m− 2 yr− 1, indicating that SGS may switch from a sink to a source depending on weather. Comparison of the 2004 − 2006 measurements at two BREB and two parallel EC flux towers located at comparable SGS sites showed moderately higher photosynthesis, lower respiration, and higher net production at the BREB than EC sites. However, the difference was not related only to methodologies, as the normalized difference vegetation index at the BREB sites was higher than at the EC sites. Overall magnitudes and seasonal patterns at the BREB and the EC sites during the 3-yr period were similar, with trajectories within the ± 1.5 standard deviation around the mean of the four sites and mostly reflecting the effects of meteorology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2017.06.007","usgsCitation":"Gilmanov, T.G., Morgan, J.A., Hanan, N., Wylie, B.K., Rajan, N., Smith, D.P., and Howard, D., 2017, Productivity and CO2 exchange of Great Plains ecoregions. I. Shortgrass steppe: Flux tower estimates: Rangeland Ecology and Management, v. 70, no. 6, p. 700-717, https://doi.org/10.1016/j.rama.2017.06.007.","productDescription":"18 p.","startPage":"700","endPage":"717","ipdsId":"IP-063726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":461387,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2017.06.007","text":"Publisher Index Page"},{"id":346604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105,\n 40.6667\n ],\n [\n -104.1667,\n 40.6667\n ],\n [\n -104.1667,\n 41.1667\n ],\n [\n -105,\n 41.1667\n ],\n [\n -105,\n 40.6667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d095e4b05fe04cd11798","contributors":{"authors":[{"text":"Gilmanov, Tagir G.","contributorId":82162,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Jack A.","contributorId":66982,"corporation":false,"usgs":true,"family":"Morgan","given":"Jack","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanan, Niall P.","contributorId":86667,"corporation":false,"usgs":true,"family":"Hanan","given":"Niall P.","affiliations":[],"preferred":false,"id":712417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":712414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rajan, Nithya","contributorId":197061,"corporation":false,"usgs":false,"family":"Rajan","given":"Nithya","email":"","affiliations":[],"preferred":false,"id":712418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, David P.","contributorId":197062,"corporation":false,"usgs":false,"family":"Smith","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":712419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":712420,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191485,"text":"70191485 - 2017 - The effects of horizontally and vertically oriented baffles on flow structure andascent performance of upstream-migrating fish","interactions":[],"lastModifiedDate":"2017-10-13T13:25:59","indexId":"70191485","displayToPublicDate":"2017-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5513,"text":"Journal of Ecohydraulics","active":true,"publicationSubtype":{"id":10}},"title":"The effects of horizontally and vertically oriented baffles on flow structure andascent performance of upstream-migrating fish","docAbstract":"Considerable effort has been expended to construct culverts and fishways that allow for fish\npassage. However, the designs have seldom considered behaviour, energetics, and\nbiomechanics of fish. In this study, we performed controlled experiments, in which upstreammigrating\nAlewife (Alosa pseudoharengus) and Brook Trout (Salvelinus fontinalis) were allowed\nto volitionally enter either one of two open channels. These channels were outfitted with\nhorizontally and vertically oriented baffles. The flow structure was characterized using acoustic\nDoppler velocimeter measurements. The added baffles had a marked influence on the flow\nfield, which was distinct between horizontal and vertical baffles, indicative of horizontally and\nvertically orientated vortices, respectively. Passage success was measured, both in terms of\nattraction and ascent performance under each flow condition. The results indicated that\nAlewife and Brook Trout staged significantly more attempts into the vertical baffled channel\ncompared to the horizontal baffled channel. However, Alewife traversed greater distances\nswimming in the channel with the horizontal baffles at the lower flow condition. Brook Trout\nalso swam further under low flow but traversed similar dtistances in both channels. This\ninformation furthers our understanding of both ascent performance and behavioural responses\nof fish in relation to turbulent flow and roughness orientation.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/24705357.2017.1288555","collaboration":"DFO Canada; University of Sherbrooke","usgsCitation":"Enders, E., Castro-Santos, T.R., and Lacey, J., 2017, The effects of horizontally and vertically oriented baffles on flow structure andascent performance of upstream-migrating fish: Journal of Ecohydraulics, v. 2, no. 1, p. 38-52, https://doi.org/10.1080/24705357.2017.1288555.","productDescription":"15 p.","startPage":"38","endPage":"52","ipdsId":"IP-075666","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/24705357.2017.1288555","text":"Publisher Index Page"},{"id":346594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"2","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-20","publicationStatus":"PW","scienceBaseUri":"59e1d096e4b05fe04cd1179a","contributors":{"authors":[{"text":"Enders, Eva","contributorId":197054,"corporation":false,"usgs":false,"family":"Enders","given":"Eva","affiliations":[],"preferred":false,"id":712404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacey, Jay","contributorId":197055,"corporation":false,"usgs":false,"family":"Lacey","given":"Jay","email":"","affiliations":[],"preferred":false,"id":712405,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189709,"text":"sir20175074 - 2017 - Estimation of the groundwater resources of the bedrock aquifers at the Kettle Moraine Springs State Fish Hatchery, Sheboygan County, Wisconsin","interactions":[],"lastModifiedDate":"2017-10-12T11:27:22","indexId":"sir20175074","displayToPublicDate":"2017-10-12T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5074","title":"Estimation of the groundwater resources of the bedrock aquifers at the Kettle Moraine Springs State Fish Hatchery, Sheboygan County, Wisconsin","docAbstract":"Groundwater resources information was needed to understand regional aquifer systems and water available to wells and springs for rearing important Lake Michigan fish species at the Kettle Moraine Springs State Fish Hatchery in Sheboygan County, Wisconsin. As a basis for estimating the groundwater resources available, an existing groundwater-flow model was refined, and new groundwater-flow models were developed for the Kettle Moraine Springs State Fish Hatchery area using the U.S. Geological Survey (USGS) finite-difference code MODFLOW. This report describes the origin and construction of these groundwater-flow models and their use in testing conceptual models and simulating the hydrogeologic system.
The study area is in the Eastern Ridges and Lowlands geographical province of Wisconsin, and the hatchery property is situated on the southeastern edge of the Kettle Moraine, a north-south trending topographic high of glacial origin. The bedrock units underlying the study area consist of Cambrian, Ordovician, and Silurian units of carbonate and siliciclastic lithology. In the Sheboygan County area, the sedimentary bedrock sequence reaches a thickness of as much as about 1,600 feet (ft).
Two aquifer systems are present at the Kettle Moraine Springs State Fish Hatchery. A shallow system is made up of Silurian bedrock, consisting chiefly of dolomite, overlain by unconsolidated Quaternary-age glacial deposits. The glacial deposits of this aquifer system are the typical source of water to local springs, including the springs that have historically supplied the hatchery. The shallow aquifer system, therefore, consists of the unconsolidated glacial aquifer and the underlying bedrock Silurian aquifer. Most residential wells in the area draw from the Silurian aquifer. A deeper confined aquifer system is made up of Cambrian- and Ordovician-age bedrock units including sandstone formations. Because of its depth, very few wells are completed in the Cambrian-Ordovician aquifer system (COAS) near the Kettle Moraine Springs State Fish Hatchery.
Three groundwater-flow models were used to estimate the water resources available to the hatchery from bedrock aquifers under selected scenarios of well placement and seasonal water requirements and subject to constraints on the effects of pumping on neighboring wells, local springs, and creeks. Model input data (recharge, water withdrawal, and boundary conditions) for these models were compiled from a number of data and information sources.
The first model, named the “KMS model,” (KMS stands for Kettle Moraine Springs) is an inset model derived from a published USGS regional Lake Michigan Basin model and was constructed to simulate groundwater pumping from the semiconfined Silurian aquifer. The second model, named the “Pumping Test model,” was constructed to evaluate an aquifer pumping test conducted in the COAS as part of this project. The Pumping Test model was also used to simulate the local effects of 20 years of groundwater pumping from this deep bedrock aquifer for future hatchery operations. The third model, named the “LMB modified model,” is a version of the published Lake Michigan Basin (LMB) model that was modified with aquifer parameters refined in an area around the hatchery (approximately a 5-mile radius circle, corresponding to the area stressed by the aquifer pumping test). This LMB modified model was applied to evaluate regional effects of pumping from the confined COAS.
The available Silurian aquifer groundwater resource was estimated using the KMS model with three scenarios—named “AllConstraints,” “Constraints2,” and “Constraints3”—that specified local water-level and flow constraints such as drawdown at nearby household wells, water levels inside pumping well boreholes, and flow in local streams and springs. Each scenario utilized the MODFLOW Groundwater Management Process (GWM) to select three locations from six candidate locations that provided the greatest combined flow while satisfying the constraints. The three constraint scenarios provided estimates of 430 gallons per minute (gal/min), 480 gal/min, and 520 gal/min pumping from three wells—AllConstraints, Constraints2, and Constraints3, respectively. The same three wells were selected for the scenarios that estimated 480 gal/min and 520 gal/min; the scenario that estimated 430 gal/min shared two of these same wells, but the third selected well was different.
The available COAS groundwater resource was estimated by two scenarios with each conducted over a period of 20 years with the Pumping Test model and the LMB modified model. The Pumping Test model was used to simulate local effects of pumping, and the LMB modified model was used to simulate regional effects of pumping. The scenarios simulate a range of total and seasonal pumping rates potentially linked to site activities. Scenario 1 simulates two wells completed in the Cambrian-Ordovician aquifer system, each pumping for 8 months at 300 gal/min, followed by pumping for 4 months at 600 gal/min. The average yearly pumping rate of Scenario 1 is 800 gal/min. Scenario 2 simulates three wells completed in the Cambrian-Ordovician aquifer system pumping for 8 months at 200 gal/min, followed by pumping for 4 months at 500 gal/min. The average yearly pumping rate of Scenario 2 is 900 gal/min. The Pumping Test model simulations confirmed that drawdown in the boreholes of the pumping wells at the selected 2-well or 3-well rates will meet the desired condition that the pumping water level remains at least 100 ft above the highest Cambrian-Ordovician unit open to the well.
The LMB modified model was used to evaluate the regional drawdown of the pumping from the confined COAS under the same 2-well and 3-well scenarios. At the nearest known existing COAS well, Campbellsport production well #4, the simulated drawdown for Scenario 1 after 20 years of cyclical pumping with two pumping wells averaging a total of 800 gal/min is 16.9 ft, whereas the simulated drawdown for Scenario 2 after 20 years of pumping with three pumping wells averaging a total of 900 gal/min is 19.0 ft. The total deep aquifer thickness at the Campbellsport location is on the order of 620 ft, meaning that the simulated drawdown for either scenario is about 3 percent of the confined aquifer thickness.
The models developed as part of this project are archived in the project data release. The archive includes the model input and output files as well as MODFLOW source code and executables. (Haserodt and others, 2017).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175074","collaboration":"Prepared in cooperation with the Fisheries Management Program of the Wisconsin Department of Natural Resources","usgsCitation":"Dunning, C.P., Feinstein, D.T., Buchwald, C.A., Hunt, R.J., and Haserodt, M.J., 2017, Estimation of the groundwater resources of the bedrock aquifers at the Kettle Moraine Springs State Fish Hatchery, Sheboygan County, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2017–5074, 104 p., https://doi.org/10.3133/sir20175074.","productDescription":"Report: ix, 104 p.; Data Release","numberOfPages":"118","onlineOnly":"Y","ipdsId":"IP-079387","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":346498,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5074/sir20175074.pdf","text":"Report","size":"21.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5074"},{"id":346497,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5074/coverthb.jpg"},{"id":346499,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77S7KW2","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"GWM-2005, MODFLOW-2005, MODFLOW-NWT, and SEAWAT-2000 groundwater flow models of the Bedrock Aquifers at the Kettle Moraine Springs State Fish Hatchery, Sheboygan County, Wisconsin"}],"country":"United States","state":"Wisconsin","county":"Sheboygan County","otherGeospatial":"Kettle Moraine Springs State Fish Hatchery","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.0778,\n 43.5944\n ],\n [\n -88.0889,\n 43.5944\n ],\n [\n -88.0889,\n 43.6167\n ],\n [\n -88.0778,\n 43.6167\n ],\n [\n -88.0778,\n 43.5944\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
The U.S. Geological Survey (USGS), in cooperation with the DuPage County Stormwater Management Department, maintains a database of hourly meteorological and hydrologic data for use in a near real-time streamflow simulation system. This system is used in the management and operation of reservoirs and other flood-control structures in the West Branch DuPage River watershed in DuPage County, Illinois. The majority of the precipitation data are collected from a tipping-bucket rain-gage network located in and near DuPage County. The other meteorological data (air temperature, dewpoint temperature, wind speed, and solar radiation) are collected at Argonne National Laboratory in Argonne, Ill. Potential evapotranspiration is computed from the meteorological data using the computer program LXPET (Lamoreux Potential Evapotranspiration). The hydrologic data (water-surface elevation [stage] and discharge) are collected at U.S.Geological Survey streamflow-gaging stations in and around DuPage County. These data are stored in a Watershed Data Management (WDM) database.
This report describes a version of the WDM database that is quality-assured and quality-controlled annually to ensure datasets are complete and accurate. This database is named WBDR13.WDM. It contains data from January 1, 2007, through September 30, 2013. Each precipitation dataset may have time periods of inaccurate data. This report describes the methods used to estimate the data for the periods of missing, erroneous, or snowfall-affected data and thereby improve the accuracy of these data. The other meteorological datasets are described in detail in Over and others (2010), and the hydrologic datasets in the database are fully described in the online USGS annual water data reports for Illinois (U.S. Geological Survey, 2016) and, therefore, are described in less detail than the precipitation datasets in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171099","collaboration":"Prepared in cooperation with DuPage County Stormwater Management Department","usgsCitation":"Bera, Maitreyee, 2017, Watershed Data Management (WDM) database for West Branch DuPage River streamflow simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2013: U.S. Geological Survey Open-File Report 2017–1099, 39 p., https://doi.org/10.3133/ofr20171099.","productDescription":"Report: v, 39 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-078980","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":346557,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1099/ofr20171099.pdf","text":"Report","size":"1.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1099"},{"id":346556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1099/coverthb.jpg"},{"id":346558,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71Z42M0","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Watershed Data Management (WDM) Database (WBDR13.WDM) for West Branch DuPage River Streamflow Simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2013"}],"country":"United States","state":"Illinois","county":"DuPage County","otherGeospatial":"West Branch DuPage River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.28338623046875,\n 41.70214000452559\n ],\n [\n -87.99087524414062,\n 41.70214000452559\n ],\n [\n -87.99087524414062,\n 41.99726342796974\n ],\n [\n -88.28338623046875,\n 41.99726342796974\n ],\n [\n -88.28338623046875,\n 41.70214000452559\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Illinois Water Science Center
U.S. Geological Survey
405 North Goodwin Avenue
Urbana, IL 61801-2347
Lava flows from Mauna Loa volcano, on the Island of Hawaiʻi, constitute a significant hazard to people and property. This report addresses those lava flow hazards, mapping 18 potential lava inundation zones on the island.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3387","usgsCitation":"Trusdell, F.A., and Zoeller, M.H., 2017, Lava inundation zone maps for Mauna Loa, Island of Hawaiʻi, Hawaii: U.S. Geological Survey Scientific Investigations Map 3387, 12 p., 10 sheets, https://doi.org/10.3133/sim3387. [Supersedes USGS Miscellaneous Field Studies Map MF–2002–2401.]","productDescription":"Pamphlet: iii, 12 p.; 10 Sheets: 37.65 x 37.26 inches or smaller; Metadata; Read Me; Geospatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078098","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":346535,"rank":14,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_geospatial_data.zip","text":"Geospatial Data","size":"1.3 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3387"},{"id":346536,"rank":15,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3387/coverthb.jpg"},{"id":346528,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet5.pdf","text":"Sheet 5","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Nāʻālehu Inundation Zone"},{"id":346529,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet6.pdf","text":"Sheet 6","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Kalae Inundation Zone"},{"id":346523,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_readme.txt","text":"Read Me","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3387"},{"id":346524,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet1.pdf","text":"Sheet 1","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Lava Inundation Zone Maps for Mauna Loa, Island of Hawaiʻi, Hawaii"},{"id":346526,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet3.pdf","text":"Sheet 3","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Kapāpala and Wood Valley Inundation Zones"},{"id":346527,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet4.pdf","text":"Sheet 4","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Wood Valley, Pāhala, and Punaluʻu Inundation Zones"},{"id":346522,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_pamphlet.pdf","text":"Pamphlet","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387"},{"id":346525,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet2.pdf","text":"Sheet 2","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Kaumana, Waiākea, and Volcano-Mountain View Inundation Zones"},{"id":346531,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet8.pdf","text":"Sheet 8","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Kaʻohe, Kaʻapuna, and Hoʻokena Inundation Zones"},{"id":346532,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet9.pdf","text":"Sheet 9","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Hōnaunau and Kealakekua Inundation Zones"},{"id":346530,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet7.pdf","text":"Sheet 7","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Hawaiian Ocean View Estates, Kapuʻa, and Miloliʻi Inundation Zones"},{"id":346533,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_sheet10.pdf","text":"Sheet 10","size":"7.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3387","linkHelpText":" - Puako Inundation Zone"},{"id":346534,"rank":13,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3387/sim3387_metadata.zip","text":"Metadata","size":"39 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3387"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.09375,\n 18.86210780968572\n ],\n [\n -154.7698974609375,\n 18.86210780968572\n ],\n [\n -154.7698974609375,\n 20.311145121817454\n ],\n [\n -156.09375,\n 20.311145121817454\n ],\n [\n -156.09375,\n 18.86210780968572\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Hawaiian Volcano Observatory
U.S. Geological Survey
P.O. Box 51
Hawaiʻi Volcanoes National Park, HI 96718-0051
askHVO@usgs.gov
This paper details how the United States Geological Survey (USGS) Community for Data Integration (CDI) Data Management Working Group developed a Science Data Lifecycle Model, and the role the Model plays in shaping agency-wide policies. Starting with an extensive literature review of existing data Lifecycle models, representatives from various backgrounds in USGS attended a two-day meeting where the basic elements for the Science Data Lifecycle Model were determined. Refinements and reviews spanned two years, leading to finalization of the model and documentation in a formal agency publication .
The Model serves as a critical framework for data management policy, instructional resources, and tools. The Model helps the USGS address both the Office of Science and Technology Policy (OSTP) for increased public access to federally funded research, and the Office of Management and Budget (OMB) 2013 Open Data directives, as the foundation for a series of agency policies related to data management planning, metadata development, data release procedures, and the long-term preservation of data. Additionally, the agency website devoted to data management instruction and best practices (www2.usgs.gov/datamanagement) is designed around the Model’s structure and concepts. This paper also illustrates how the Model is being used to develop tools for supporting USGS research and data management processes.
","language":"English","publisher":"University of Massachusetts","doi":"10.7191/jeslib.2017.1117","usgsCitation":"Faundeen, J., and Hutchison, V.B., 2017, The evolution, approval and implementation of the U.S. Geological Survey Science Data Lifecycle Model: Journal of eScience Librarianship, v. 6, no. 2, p. 1-10, https://doi.org/10.7191/jeslib.2017.1117.","productDescription":"e1117; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-076346","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7191/jeslib.2017.1117","text":"Publisher Index Page"},{"id":346546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-12","publicationStatus":"PW","scienceBaseUri":"59e07f2ee4b05fe04ccfcd02","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@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":712269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":173674,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian","email":"vhutchison@usgs.gov","middleInitial":"B.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":712270,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191435,"text":"70191435 - 2017 - Building capacity in biodiversity monitoring at the global scale","interactions":[],"lastModifiedDate":"2017-10-12T09:52:12","indexId":"70191435","displayToPublicDate":"2017-10-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Building capacity in biodiversity monitoring at the global scale","docAbstract":"Human-driven global change is causing ongoing declines in biodiversity worldwide. In order to address these declines, decision-makers need accurate assessments of the status of and pressures on biodiversity. However, these are heavily constrained by incomplete and uneven spatial, temporal and taxonomic coverage. For instance, data from regions such as Europe and North America are currently used overwhelmingly for large-scale biodiversity assessments due to lesser availability of suitable data from other, more biodiversity-rich, regions. These data-poor regions are often those experiencing the strongest threats to biodiversity, however. There is therefore an urgent need to fill the existing gaps in global biodiversity monitoring. Here, we review current knowledge on best practice in capacity building for biodiversity monitoring and provide an overview of existing means to improve biodiversity data collection considering the different types of biodiversity monitoring data. Our review comprises insights from work in Africa, South America, Polar Regions and Europe; in government-funded, volunteer and citizen-based monitoring in terrestrial, freshwater and marine ecosystems. The key steps to effectively building capacity in biodiversity monitoring are: identifying monitoring questions and aims; identifying the key components, functions, and processes to monitor; identifying the most suitable monitoring methods for these elements, carrying out monitoring activities; managing the resultant data; and interpreting monitoring data. Additionally, biodiversity monitoring should use multiple approaches including extensive and intensive monitoring through volunteers and professional scientists but also harnessing new technologies. Finally, we call on the scientific community to share biodiversity monitoring data, knowledge and tools to ensure the accessibility, interoperability, and reporting of biodiversity data at a global scale.
","language":"English","publisher":"Springer","doi":"10.1007/s10531-017-1388-7","usgsCitation":"Schmeller, D.S., Böhm, M., Arvanitidis, C., Barber-Meyer, S., Brummitt, N., Chandler, M., Chatzinikolaou, E., Costello, M.J., Ding, H., Garcia-Moreno, J., Gill, M.J., Haase, P., Jones, M., Juillard, R., Magnusson, W.E., Martin, C.S., McGeoch, M.A., Mihoub, J., Pettorelli, N., Proença, V., Peng, C., Regan, E., Schmiedel, U., Simsika, J.P., Weatherdon, L., Waterman, C., Xu, H., and Belnap, J., 2017, Building capacity in biodiversity monitoring at the global scale: Biodiversity and Conservation, v. 26, no. 12, p. 2765-2790, https://doi.org/10.1007/s10531-017-1388-7.","productDescription":"26 p.","startPage":"2765","endPage":"2790","ipdsId":"IP-058340","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469447,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://discovery.ucl.ac.uk/id/eprint/1558305","text":"External Repository"},{"id":346547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"59e07f2fe4b05fe04ccfcd09","contributors":{"authors":[{"text":"Schmeller, Dirk S.","contributorId":147645,"corporation":false,"usgs":false,"family":"Schmeller","given":"Dirk","email":"","middleInitial":"S.","affiliations":[{"id":16875,"text":"(1)Dept of Conservation Biology, Helmholtz Centre for Environmental Research – UFZ, Permoserstrasse 15, 04318 Leipzig, Germany;","active":true,"usgs":false}],"preferred":false,"id":712226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Böhm, Monika","contributorId":196999,"corporation":false,"usgs":false,"family":"Böhm","given":"Monika","affiliations":[],"preferred":false,"id":712228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvanitidis, Christos","contributorId":196998,"corporation":false,"usgs":false,"family":"Arvanitidis","given":"Christos","email":"","affiliations":[],"preferred":false,"id":712227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":191875,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":712244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brummitt, Neil","contributorId":147648,"corporation":false,"usgs":false,"family":"Brummitt","given":"Neil","email":"","affiliations":[{"id":16878,"text":"Department of Life Sciences, The Natural History Museum, Cromwell Road, South Kensington, London SW7 5BD, UK","active":true,"usgs":false}],"preferred":false,"id":712229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chandler, Mark","contributorId":197010,"corporation":false,"usgs":false,"family":"Chandler","given":"Mark","affiliations":[],"preferred":false,"id":712245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chatzinikolaou, Eva","contributorId":197000,"corporation":false,"usgs":false,"family":"Chatzinikolaou","given":"Eva","email":"","affiliations":[],"preferred":false,"id":712230,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Costello, Mark John","contributorId":146661,"corporation":false,"usgs":false,"family":"Costello","given":"Mark","email":"","middleInitial":"John","affiliations":[{"id":13376,"text":"The University of Auckland","active":true,"usgs":false}],"preferred":false,"id":712232,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ding, Hui","contributorId":197002,"corporation":false,"usgs":false,"family":"Ding","given":"Hui","email":"","affiliations":[],"preferred":false,"id":712233,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Garcia-Moreno, Jaime","contributorId":197003,"corporation":false,"usgs":false,"family":"Garcia-Moreno","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":712234,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gill, Michael J.","contributorId":131121,"corporation":false,"usgs":false,"family":"Gill","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":712235,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haase, Peter","contributorId":197004,"corporation":false,"usgs":false,"family":"Haase","given":"Peter","email":"","affiliations":[],"preferred":false,"id":712236,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jones, Miranda","contributorId":197016,"corporation":false,"usgs":false,"family":"Jones","given":"Miranda","email":"","affiliations":[],"preferred":false,"id":712272,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Juillard, Romain","contributorId":197005,"corporation":false,"usgs":false,"family":"Juillard","given":"Romain","email":"","affiliations":[],"preferred":false,"id":712237,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Magnusson, William E.","contributorId":147653,"corporation":false,"usgs":false,"family":"Magnusson","given":"William","email":"","middleInitial":"E.","affiliations":[{"id":16882,"text":"Instituto Nacional de Pesquisas da Amazônia, Caixa Postal 2223, 69080-971 Manaus AM, Brazil","active":true,"usgs":false}],"preferred":false,"id":712273,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Martin, Corinne S.","contributorId":197017,"corporation":false,"usgs":false,"family":"Martin","given":"Corinne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712274,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McGeoch, Melodie A.","contributorId":85047,"corporation":false,"usgs":true,"family":"McGeoch","given":"Melodie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712275,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Mihoub, Jean-Baptiste","contributorId":197018,"corporation":false,"usgs":false,"family":"Mihoub","given":"Jean-Baptiste","email":"","affiliations":[],"preferred":false,"id":712276,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Pettorelli, Nathalie","contributorId":197006,"corporation":false,"usgs":false,"family":"Pettorelli","given":"Nathalie","email":"","affiliations":[],"preferred":false,"id":712238,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Proença, Vânia","contributorId":147656,"corporation":false,"usgs":false,"family":"Proença","given":"Vânia","affiliations":[{"id":16885,"text":"Center for Innovation, Technology and Policy Research, ACAE-DEM, Instituto Superior Técnico, University of Lisbon, Avenida Rovisco Pais, 1, 1049-001 Lisboa, Portugal","active":true,"usgs":false}],"preferred":false,"id":712277,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Peng, Cui","contributorId":174219,"corporation":false,"usgs":false,"family":"Peng","given":"Cui","email":"","affiliations":[{"id":27389,"text":"Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, P.R. China","active":true,"usgs":false}],"preferred":false,"id":712239,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Regan, Eugenie","contributorId":197019,"corporation":false,"usgs":false,"family":"Regan","given":"Eugenie","email":"","affiliations":[],"preferred":false,"id":712278,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Schmiedel, Ute","contributorId":197007,"corporation":false,"usgs":false,"family":"Schmiedel","given":"Ute","email":"","affiliations":[],"preferred":false,"id":712240,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Simsika, John P.","contributorId":197008,"corporation":false,"usgs":false,"family":"Simsika","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":712241,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Weatherdon, Lauren","contributorId":197020,"corporation":false,"usgs":false,"family":"Weatherdon","given":"Lauren","affiliations":[],"preferred":false,"id":712279,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Waterman, Carly","contributorId":197021,"corporation":false,"usgs":false,"family":"Waterman","given":"Carly","email":"","affiliations":[],"preferred":false,"id":712280,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Xu, Haigen","contributorId":197009,"corporation":false,"usgs":false,"family":"Xu","given":"Haigen","email":"","affiliations":[],"preferred":false,"id":712243,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":712225,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70191364,"text":"ofr20171090 - 2017 - Description of chronostratigraphic units preserved as channel deposits and geomorphic processes following a basin-scale disturbance by a wildfire in Colorado","interactions":[],"lastModifiedDate":"2017-10-12T10:18:15","indexId":"ofr20171090","displayToPublicDate":"2017-10-11T19:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1090","title":"Description of chronostratigraphic units preserved as channel deposits and geomorphic processes following a basin-scale disturbance by a wildfire in Colorado","docAbstract":"The consequence of a 1996 wildfire disturbance and a subsequent high-intensity summer convective rain storm (about 110 millimeters per hour) was the deposition of a sediment superslug in the Spring Creek basin (26.8 square kilometers) of the Front Range Mountains in Colorado. Spring Creek is a tributary to the South Platte River upstream from Strontia Springs Reservoir, which supplies domestic water for the cities of Denver and Aurora. Changes in a superslug were monitored over the course of 18 years (1996–2014) by repeat surveys at 18 channel cross sections spaced at nearly equal intervals along a 1,500-meter study reach and by a time series of photographs of each cross section. Surveys were not repeated at regular time intervals but after major changes caused by different geomorphic processes. The focus of this long-term study was to understand the evolution and internal alluvial architecture of chronostratigraphic units (defined as the volume of sediment deposited between two successive surveys), and the preservation or storage of these units in the superslug. The data are presented as a series of 18 narratives (one for each cross section) that summarize the changes, illustrate these changes with photographs, and provide a preservation plot showing the amount of each chronostratigraphic unit still remaining in June 2014.
The most significant hydrologic change after the wildfire was an exponential decrease in peak discharge of flash floods caused by summer convective rain storms. In response to these hydrologic changes, all 18 locations went through an aggradation phase, an incision phase, and finally a stabilization phase. However, the architecture of the chronostratigraphic units differs from cross section to cross section, and units are characterized by either a laminar, fragmented, or hybrid alluvial architecture. In response to the decrease in peak-flood discharge and the increase in hillslope and riparian vegetation, Spring Creek abandoned many of the nearly horizontal erosional and depositional surfaces and left a landscape consisting of a series of cut-and-fill terraces as a legacy of this wildfire disturbance.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171090","usgsCitation":"Moody, J.A., and Martin, D.A., 2017, Description of chronostratigraphic units preserved as channel deposits and geomorphic processes following a basin-scale disturbance by a wildfire in Colorado: U.S. Geological Survey Open-File Report 2017–1090, 73 p., https://doi.org/10.3133/ofr20171090.","productDescription":"vi, 73 p.","numberOfPages":"79","onlineOnly":"Y","ipdsId":"IP-081971","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":346458,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1090/coverthb.jpg"},{"id":346459,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1090/ofr20171090.pdf","text":"Report","size":"43.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1090"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.0455322265625,\n 38.89958342598271\n ],\n [\n -104.600830078125,\n 38.89958342598271\n ],\n [\n -104.600830078125,\n 39.50827899034114\n ],\n [\n -106.0455322265625,\n 39.50827899034114\n ],\n [\n -106.0455322265625,\n 38.89958342598271\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Branch Chief, Hydrodynamics Branch
Earth System Processes Division
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
During spring 2015, Nebraska Game and Parks Commission (NGPC) biologists noted that pallid sturgeon (Scaphirhynchus albus) were in poor condition during sampling associated with the Pallid Sturgeon Population Assessment Project and NGPC’s annual pallid sturgeon broodstock collection effort. These observations prompted concerns that reduced fish condition could compromise reproductive health and population growth of pallid sturgeon. There was a further concern that compromised condition could possibly be linked to U.S. Army Corps of Engineers management actions and increase jeopardy to the species. An evaluation request was made to the Missouri River Recovery Program and the Effects Analysis Team was chartered to evaluate the issue. Data on all Missouri River pallid sturgeon captures were requested and received from the National Pallid Sturgeon Database. All data were examined for completeness and accuracy; 12,053 records of captures between 200 millimeters fork length (mm FL) and 1,200 mm FL were accepted. We analyzed condition using (1) the condition formula (Kn) from Shuman and others (2011); (2) a second Kn formulation derived from the 12,053 records (hereafter referred to as “Alternative Kn”); and (3) an analysis of covariance (ANCOVA) approach that did not rely on a Kn formulation. The Kn data were analyzed using group (average annual Kn) and individual (percentage in low, normal, and robust conditions) approaches. Using the Shuman Kn formulation, annual mean Kn was fairly static from 2005 to 2011 (although always higher in the upper basin), declined from 2012 to 2015, then remained either static (lower basin) or increasing (upper basin) in 2016. Under the Alternative Kn formulation, the upper basin showed no decline in Kn, whereas the lower basin displayed the same trend as the Shuman Kn formulation. Using both formulations, the individual approach revealed a more complex situation; at the same times and locations that there are fish in poor condition, there are nearby fish in normal or robust condition. The ANCOVA approach revealed that fish condition at size changed between 400 and 600 mm and that some of the apparent trend in low condition was caused by differences in sample size across the size range of the population (that is, greater catch of intermediate-sized fish compared to large fish). We examined basin, year, origin (hatchery compared to wild), segment, and size class for effects on condition and concluded that, since 2012, there has been an increase in the percentage of pallid sturgeon in low condition. There are basin, year, and segment effects; origin and size class do not seem to have an effect. The lower basin, in particular segment 9 (Platte River to Kansas River), had a high percentage of low-condition fish. Within the segment, there were bend-level effects, but the bend effect was not spatially contiguous.
We concluded that existing data confirm concerns about declining fish condition, especially in the segments between Sioux City, Iowa, and Kansas City, Missouri. Although the evidence is strong that fish condition has been in decline from 2011 to 2015, additional analysis of individual fish histories may provide more confidence in this conclusion; such analysis was beyond the scope of this effort but is part of our recommendations. The most recent data in 2016 indicate that decline of condition may have leveled off; however, the length of record is insufficient to determine whether recent declines are within the background range of variation. We recommend that monitoring of fish condition should be increased and enhanced with additional health metrics. We also recommend that, should condition continue to decline, processes are deployed to bring low-condition adult fish into the hatchery to improve nutrition and condition. We could not determine the cause of declining fish condition with available data, but we compiled information on several dominant hypotheses in two main categories: inter- or intraspecific competition for resources and habitat conditions. Data are insufficient to indicate a specific causation or solution, and it is possible that multiple causes apply. We make recommendations for additional research that can be pursued to address uncertainties in trends in fish health as well as potential causes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171121","collaboration":"Prepared in cooperation with the Missouri River Recovery Program","usgsCitation":"Randall, M.T., Colvin, M.E., Steffensen, K.D., Welker, T.L., Pierce, L.L., and Jacobson, R.B., 2017, Assessment of adult pallid sturgeon fish condition, Lower Missouri River—Application of new information to the Missouri River Recovery Program: U.S. Geological Survey Open-File Report 2017–1121, 103 p., https://doi.org/10.3133/ofr20171121. ","productDescription":"vi, 103 p.","numberOfPages":"111","onlineOnly":"N","ipdsId":"IP-082584","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":346492,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1121/coverthb.jpg"},{"id":346493,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1121/ofr20171121.pdf","text":"Report","size":"7.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1121"}],"country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.34765625,\n 38.496593518947584\n ],\n [\n -90.10986328125,\n 38.496593518947584\n ],\n [\n -90.10986328125,\n 48.23930899024907\n ],\n [\n -106.34765625,\n 48.23930899024907\n ],\n [\n -106.34765625,\n 38.496593518947584\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, Missouri 65201
Genetic rescue is an increasingly considered conservation measure to address genetic erosion associated with habitat loss and fragmentation. The resulting gene flow from facilitating migration may improve fitness and adaptive potential, but is not without risks (e.g., outbreeding depression). Here, we conducted a test of genetic rescue by translocating ten (five of each sex) brook trout (Salvelinus fontinalis) from a single source to four nearby and isolated stream populations. To control for the demographic contribution of translocated individuals, ten resident individuals (five of each sex) were removed from each recipient population. Prior to the introduction of translocated individuals, the two smallest above-barrier populations had substantially lower genetic diversity, and all populations had reduced effective number of breeders relative to adjacent below-barrier populations. In the first reproductive bout following translocation, 31 of 40 (78%) translocated individuals reproduced successfully. Translocated individuals contributed to more families than expected under random mating and generally produced larger full-sibling families. We observed relatively high (>20%) introgression in three of the four recipient populations. The translocations increased genetic diversity of recipient populations by 45% in allelic richness and 25% in expected heterozygosity. Additionally, strong evidence of hybrid vigour was observed through significantly larger body sizes of hybrid offspring relative to resident offspring in all recipient populations. Continued monitoring of these populations will test for negative fitness effects beyond the first generation. However, these results provide much-needed experimental data to inform the potential effectiveness of genetic rescue-motivated translocations.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.14225","usgsCitation":"Robinson, Z.L., Coombs, J.A., Hudy, M., Nislow, K.H., Letcher, B., and Whiteley, A.R., 2017, Experimental test of genetic rescue in isolated populations of brook trout: Molecular Ecology, v. 26, no. 17, p. 4418-4433, https://doi.org/10.1111/mec.14225.","productDescription":"16 p.","startPage":"4418","endPage":"4433","ipdsId":"IP-084548","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":490030,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.7275/7127259","text":"External Repository"},{"id":346512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","volume":"26","issue":"17","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-29","publicationStatus":"PW","scienceBaseUri":"59defbb2e4b05fe04ccd3d3d","contributors":{"authors":[{"text":"Robinson, Zachary L.","contributorId":196989,"corporation":false,"usgs":false,"family":"Robinson","given":"Zachary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coombs, Jason A.","contributorId":77039,"corporation":false,"usgs":true,"family":"Coombs","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudy, Mark","contributorId":86638,"corporation":false,"usgs":true,"family":"Hudy","given":"Mark","email":"","affiliations":[],"preferred":false,"id":712193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nislow, Keith H.","contributorId":103564,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":712194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":2864,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":712190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whiteley, Andrew R.","contributorId":52072,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":712195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191436,"text":"70191436 - 2017 - Source spectral properties of small-to-moderate earthquakes in southern Kansas","interactions":[],"lastModifiedDate":"2017-11-29T16:27:20","indexId":"70191436","displayToPublicDate":"2017-10-11T00:00:00","publicationYear":"2017","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":"Source spectral properties of small-to-moderate earthquakes in southern Kansas","docAbstract":"The source spectral properties of injection-induced earthquakes give insight into their nucleation, rupture processes, and influence on ground motion. Here we apply a spectral decomposition approach to analyze P-wave spectra and estimate Brune-type stress drop for more than 2000 ML1.5–5.2 earthquakes occurring in southern Kansas from 2014 to 2016. We find that these earthquakes are characterized by low stress drop values (median ∼0.4MPa) compared to natural seismicity in California. We observe a significant increase in stress drop as a function of depth, but the shallow depth distribution of these events is not by itself sufficient to explain their lower stress drop. Stress drop increases with magnitude from M1.5–M3.5, but this scaling trend may weaken above M4 and also depends on the assumed source model. Although we observe a nonstationary, sequence-specific temporal evolution in stress drop, we find no clear systematic relation with the activity of nearby injection wells.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014649","usgsCitation":"Trugman, D.T., Dougherty, S.L., Cochran, E.S., and Shearer, P.M., 2017, Source spectral properties of small-to-moderate earthquakes in southern Kansas: Journal of Geophysical Research B: Solid Earth, v. 122, no. 10, p. 8021-8034, https://doi.org/10.1002/2017JB014649.","productDescription":"14 p.","startPage":"8021","endPage":"8034","ipdsId":"IP-088045","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.1683349609375,\n 36.99816565700228\n ],\n [\n -97.46246337890625,\n 36.99816565700228\n ],\n [\n -97.46246337890625,\n 37.47485808497102\n ],\n [\n -98.1683349609375,\n 37.47485808497102\n ],\n [\n -98.1683349609375,\n 36.99816565700228\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"59defbb2e4b05fe04ccd3d3b","contributors":{"authors":[{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":712247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dougherty, Sara L. 0000-0002-5327-3286 sdougherty@usgs.gov","orcid":"https://orcid.org/0000-0002-5327-3286","contributorId":191210,"corporation":false,"usgs":true,"family":"Dougherty","given":"Sara","email":"sdougherty@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearer, Peter M.","contributorId":197012,"corporation":false,"usgs":false,"family":"Shearer","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190213,"text":"ofr20171108 - 2017 - Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages","interactions":[],"lastModifiedDate":"2017-10-16T13:37:19","indexId":"ofr20171108","displayToPublicDate":"2017-10-10T03:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1108","title":"Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages","docAbstract":"Streamflow statistics are needed by decision makers for many planning, management, and design activities. The U.S. Geological Survey (USGS) StreamStats Web application provides convenient access to streamflow statistics for many streamgages by accessing the underlying StreamStatsDB database. In 2016, non-interpretive streamflow statistics were compiled for streamgages located throughout the Nation and stored in StreamStatsDB for use with StreamStats and other applications. Two previously published USGS computer programs that were designed to help calculate streamflow statistics were updated to better support StreamStats as part of this effort. These programs are named “GNWISQ” (Get National Water Information System Streamflow (Q) files), updated to version 1.1.1, and “QSTATS” (Streamflow (Q) Statistics), updated to version 1.1.2.
Statistics for 20,438 streamgages that had 1 or more complete years of record during water years 1901 through 2015 were calculated from daily mean streamflow data; 19,415 of these streamgages were within the conterminous United States. About 89 percent of the 20,438 streamgages had 3 or more years of record, and about 65 percent had 10 or more years of record. Drainage areas of the 20,438 streamgages ranged from 0.01 to 1,144,500 square miles. The magnitude of annual average streamflow yields (streamflow per square mile) for these streamgages varied by almost six orders of magnitude, from 0.000029 to 34 cubic feet per second per square mile. About 64 percent of these streamgages did not have any zero-flow days during their available period of record. The 18,122 streamgages with 3 or more years of record were included in the StreamStatsDB compilation so they would be available via the StreamStats interface for user-selected streamgages. All the statistics are available in a USGS ScienceBase data release.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171108","collaboration":"Prepared in cooperation with the Federal Highway Administration Office of Project Development and Environmental Review","usgsCitation":"Granato G.E., Ries, K.G., III, and Steeves, P.A., 2017, Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages: U.S. Geological Survey Open-File Report 2017–1108, 17 p., https://doi.org/10.3133/ofr20171108.","productDescription":"Report: vi, 17 p.; 4 Figures; Data Release","onlineOnly":"Y","ipdsId":"IP-077435","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":346453,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71V5CFT","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages"},{"id":346446,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1108/coverthb.jpg"},{"id":346447,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1108/ofr20171108.pdf","text":"Report","size":"5.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1108"},{"id":346448,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2017/1108/ofr20171108_fig3a_interactive.pdf","text":"Figure 3A","size":"4.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1108 - Figure 3A","linkHelpText":"—Streamgages by record length [layered pdf; view in Adobe Reader or Microsoft Internet Explorer]"},{"id":346449,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2017/1108/ofr20171108_fig3b_interactive.pdf","text":"Figure 3B","size":"4.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1108 - Figure 3B","linkHelpText":"—Streamgages by drainage area [layered pdf; view in Adobe Reader or Microsoft Internet Explorer]"},{"id":346450,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2017/1108/ofr20171108_fig3c_interactive.pdf","text":"Figure 3C","size":"4.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1108 - Figure 3C","linkHelpText":"—Streamgages by percentage of zero-flow days [layered pdf; view in Adobe Reader or Microsoft Internet Explorer]"},{"id":346451,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2017/1108/ofr20171108_fig3d_interactive.pdf","text":"Figure 3D","size":"4.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1108 - Figure 3D","linkHelpText":"—Streamgages by geometric mean of nonzero daily mean streamflow values [layered pdf; view in Adobe Reader or Microsoft Internet Explorer]"}],"country":"United 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\"}}]}\n","publicComments":"Groundwater and Streamflow Information Program","contact":"Office of Surface Water
U.S. Geological Survey
415 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
Climate change raises concern that risks of hydrological drought may be increasing. We estimate hydrological drought probabilities for rivers and streams in the United States (U.S.) using maximum likelihood logistic regression (MLLR). Streamflow data from winter months are used to estimate the chance of hydrological drought during summer months. Daily streamflow data collected from 9,144 stream gages from January 1, 1884 through January 9, 2014 provide hydrological drought streamflow probabilities for July, August, and September as functions of streamflows during October, November, December, January, and February, estimating outcomes 5-11 months ahead of their occurrence. Few drought prediction methods exploit temporal links among streamflows. We find MLLR modeling of drought streamflow probabilities exploits the explanatory power of temporally linked water flows. MLLR models with strong correct classification rates were produced for streams throughout the U.S. One ad hoc test of correct prediction rates of September 2013 hydrological droughts exceeded 90% correct classification. Some of the best-performing models coincide with areas of high concern including the West, the Midwest, Texas, the Southeast, and the Mid-Atlantic. Using hydrological drought MLLR probability estimates in a water management context can inform understanding of drought streamflow conditions, provide warning of future drought conditions, and aid water management decision making.
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Ophidiomyces ophiodiicola, the causative agent of SFD, has been isolated from over 30 species of wild snakes from six families in North America. Whilst O. ophiodiicola has been isolated from captive snakes outside North America, the pathogen has not been reported from wild snakes elsewhere. We screened 33 carcasses and 303 moulted skins from wild snakes collected from 2010–2016 in Great Britain and the Czech Republic for the presence of macroscopic skin lesions and O. ophiodiicola. The fungus was detected using real-time PCR in 26 (8.6%) specimens across the period of collection. Follow up culture and histopathologic analyses confirmed that both O. ophiodiicola and SFD occur in wild European snakes. Although skin lesions were mild in most cases, in some snakes they were severe and were considered likely to have contributed to mortality. Culture characterisations demonstrated that European isolates grew more slowly than those from the United States, and phylogenetic analyses indicated that isolates from European wild snakes reside in a clade distinct from the North American isolates examined. These genetic and phenotypic differences indicate that the European isolates represent novel strains of O. ophiodiicola. Further work is required to understand the individual and population level impact of this pathogen in Europe.
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To study the response of landslide deposits, seismographs were placed on the Mission Peak landslide in the eastern San Francisco Bay region for a period of one year. Numerous local and near‐regional earthquakes were recorded that reveal a complexity of seismic response phenomena using the horizontal‐to‐vertical spectral ratio method. At lower frequencies, a clear spectral peak is observed at 0.5 Hz common to all four stations in the array and is attributed to a surface topographic effect. At higher frequencies, other spectral peaks occur that are interpreted in terms of local deposits and structures. Site amplification from the standard reference site method shows the minimum amplification with a factor of 2, comparing a site on and off the landslide. A site located on relatively homogeneous deposits of loose soils shows a clear spectral peak associated with the thickness of the deposit. Another site on a talus‐filled graben near the headscarp shows possible 2D or 3D effects from subsurface topography or scattering within and between buried sandstone blocks. A third site on a massive partially detached block below the crown of the headscarp shows indications of resonance caused by the reverberation of shear waves within the block. The varied seismic response of different parts of this complex landslide is consistent with other studies which found that, although landslide response is commonly enhanced in the downslope direction of landslide movement, such a response does not occur uniformly or consistently. When it does occur, enhanced site response parallel to the direction of landslide movement would contribute to landslide reactivation during significant earthquakes.
","language":"English","publisher":"Society of the Seismological Society of America","doi":"10.1785/0120170033","usgsCitation":"Hartzell, S.H., Leeds, A.L., and Jibson, R.W., 2017, Seismic response of soft deposits due to landslide: The Mission Peak, California, landslide: Bulletin of the Seismological Society of America, v. 107, no. 5, p. 2008-2020, https://doi.org/10.1785/0120170033.","productDescription":"13 p.","startPage":"2008","endPage":"2020","ipdsId":"IP-088233","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346473,"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,\n 37.3\n ],\n [\n -121.7,\n 37.3\n ],\n [\n -121.7,\n 37.8\n ],\n [\n -122,\n 37.8\n ],\n [\n -122,\n 37.3\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"59dddc08e4b05fe04ccd05c2","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":712144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191355,"text":"70191355 - 2017 - Linear and nonlinear effects of temperature and precipitation on ecosystem properties in tidal saline wetlands","interactions":[],"lastModifiedDate":"2017-10-07T08:43:34","indexId":"70191355","displayToPublicDate":"2017-10-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Linear and nonlinear effects of temperature and precipitation on ecosystem properties in tidal saline wetlands","docAbstract":"Climate greatly influences the structure and functioning of tidal saline wetland ecosystems. However, there is a need to better quantify the effects of climatic drivers on ecosystem properties, particularly near climate-sensitive ecological transition zones. Here, we used climate- and literature-derived ecological data from tidal saline wetlands to test hypotheses regarding the influence of climatic drivers (i.e., temperature and precipitation regimes) on the following six ecosystem properties: canopy height, biomass, productivity, decomposition, soil carbon density, and soil carbon accumulation. Our analyses quantify and elucidate linear and nonlinear effects of climatic drivers. We quantified positive linear relationships between temperature and above-ground productivity and strong positive nonlinear (sigmoidal) relationships between (1) temperature and above-ground biomass and canopy height and (2) precipitation and canopy height. Near temperature-controlled mangrove range limits, small changes in temperature are expected to trigger comparatively large changes in biomass and canopy height, as mangrove forests grow, expand, and, in some cases, replace salt marshes. However, within these same transition zones, temperature-induced changes in productivity are expected to be comparatively small. Interestingly, despite the significant above-ground height, biomass, and productivity relationships across the tropical–temperate mangrove–marsh transition zone, the relationships between temperature and soil carbon density or soil carbon accumulation were not significant. Our literature review identifies several ecosystem properties and many regions of the world for which there are insufficient data to fully evaluate the influence of climatic drivers, and the identified data gaps can be used by scientists to guide future research. Our analyses indicate that near precipitation-controlled transition zones, small changes in precipitation are expected to trigger comparatively large changes in canopy height. However, there are scant data to evaluate the influence of precipitation on other ecosystem properties. There is a need for more decomposition data across climatic gradients, and to advance understanding of the influence of changes in precipitation and freshwater availability, additional ecological data are needed from tidal saline wetlands in arid climates. Collectively, our results can help scientists and managers better anticipate the linear and nonlinear ecological consequences of climate change for coastal wetlands.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1956","usgsCitation":"Feher, L.C., Osland, M.J., Griffith, K.T., Grace, J.B., Howard, R.J., Stagg, C.L., Enwright, N.M., Krauss, K.W., Gabler, C., Day, R.H., and Rogers, K., 2017, Linear and nonlinear effects of temperature and precipitation on ecosystem properties in tidal saline wetlands: Ecosphere, v. 8, no. 10, Article e01956; 23 p., https://doi.org/10.1002/ecs2.1956.","productDescription":"Article e01956; 23 p.","ipdsId":"IP-081607","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469451,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1956","text":"Publisher Index Page"},{"id":438192,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S180QJ","text":"USGS data release","linkHelpText":"Linear and nonlinear effects of temperature and precipitation on ecosystem properties in tidal saline wetlands"},{"id":346462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"10","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","scienceBaseUri":"59defbb4e4b05fe04ccd3d45","contributors":{"authors":[{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research 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