The bedrock geologic map of the Littleton and Lower Waterford quadrangles covers an area of approximately 107 square miles (277 square kilometers) north and south of the Connecticut River in east-central Vermont and adjacent New Hampshire. This map was created as part of a larger effort to produce a new bedrock geologic map of Vermont through the collection of field data at a scale of 1:24,000. A large part of the map area consists of the Bronson Hill anticlinorium, a post-Early Devonian structure that is cored by metamorphosed Cambrian to Devonian sedimentary, volcanic, and plutonic rocks. The northwestern part of the map is divided by the Monroe fault which separates Early Devonian rocks of the Connecticut Valley-Gaspé trough from rocks of the Bronson Hill anticlinorium.
The Bronson Hill anticlinorium is the apex of the Middle Ordovician to earliest-Silurian Bronson Hill magmatic arc that contains the Ammonoosuc Volcanics, Partridge Formation, and Oliverian Plutonic suite, and extends from Maine, down the eastern side of the Connecticut River in New Hampshire, to Long Island Sound. The deformed and partially eroded arc is locally overlain by a relatively thin Silurian section of metasedimentary rocks (Clough Quartzite and Fitch Formation) that thickens to the east. The Silurian section near Littleton is disconformably overlain by a thicker, Lower Devonian section that includes mostly metasedimentary rocks and minor metavolcanic rocks of the Littleton Formation. The Bronson Hill anticlinorium is bisected by a series of northeast-southwest trending Mesozoic normal faults. Primarily among them is the steeply northwest-dipping Ammonoosuc fault that divides older and younger units (upper and lower sections) of the Ammonoosuc Volcanics. The Ammonoosuc Volcanics are lithologically complex and predominantly include interlayered and interfingered rhyolitic to basaltic volcanic and volcaniclastic rocks, as well as lesser amounts of metamorphic and metasedimentary rocks. The Ammonoosuc Volcanics overlies the Albee Formation that consists of interlayered feldspathic sandstone, siltstone, pelite, and slate.
During the Late Ordovician, a series of arc-related plutons intruded the Ammonoosuc Volcanics, including the Whitefield pluton to the east, the Scrag granite of Billing (1937) in the far southeastern corner of the map, the Highlandcroft Granodiorite just to the west of the Ammonoosuc fault, and the Joslin Turn tonalite (just north of the Connecticut River). To the east of the Monroe fault lies the late Silurian Comerford Intrusive Complex, which consists of metamorphosed gabbro, diorite, tonalite, aplitic tonalite, and crosscutting diabase dikes. Abundant mafic dikes of the Comerford Intrusive Complex intruded the Albee Formation and Ammonoosuc Volcanics well east of the Monroe fault.
This report consists of a single geologic map sheet and an online geographic information systems database that includes contacts of bedrock geologic units, faults, outcrops, and structural geologic information.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181087","collaboration":"Prepared in cooperation with the State of Vermont, Vermont Agency of Natural Resources, Vermont Geological Survey, and the State of New Hampshire, Department of Environmental Services, New Hampshire Geological Survey","usgsCitation":"Rankin, D.W., 2018, Bedrock geologic map of the Littleton and Lower Waterford quadrangles, Essex and Caledonia Counties, Vermont, and Grafton County, New Hampshire: U.S. Geological Survey Open-File Report 2018–1087, 1 sheet, scale 1:24,000, https://doi.org/10.3133/ofr20181087.","productDescription":"Sheet: 36.00 x 45.82 inches; Geologic Map: ArcGIS 10.5 zip; Geodatabase; Metadata; Base Map","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-081645","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":354879,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_geologic-map-files.zip","text":"Geologic Map (ArcGIS 10.5)","size":"49.3 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Geologic Map"},{"id":354880,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_basemap-files.zip","text":"Base Map","size":"10.8 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Base Map"},{"id":354979,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_littleton-lowerwaterford-xml.zip","text":"Metadata ","size":"67.1 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Metadata"},{"id":354876,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2018/1087/ofr20181087.pdf","text":"Geologic Map","size":"24.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1087"},{"id":354875,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1087/coverthb2.jpg"},{"id":354878,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2018/1087/metadata/ofr20181087_database-files.gdb.zip","text":"Database","size":"1.30 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Littleton and Lower Waterford, Vermont, and New Hampshire, Geodatabase "}],"country":"United States","state":"New Hampshire, Vermont","county":"Caledonia County, Grafton County, Essex County","otherGeospatial":"Littleton Quadrangle, Lower Waterford Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72,\n 44.25\n ],\n [\n -71.75,\n 44.25\n ],\n [\n -71.75,\n 44.375\n ],\n [\n -72,\n 44.375\n ],\n [\n -72,\n 44.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Eastern Geology and Paleoclimate Science Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192
The Collaboratory for the Study of Earthquake Predictability (CSEP; Jordan, 2006) carries out fully prospective tests of earthquake forecasts, using fixed and standardized statistical tests and authoritative data sets, to assess the predictive skill of forecast models and to make objective comparisons between models. CSEP conducts prospective experiments at four testing centers around the world, at which more than 400 models and model versions are currently under evaluation. These models include a range of methods and scales from long‐term global earthquake forecasts to short‐term regional forecasts used for Operational Earthquake Forecasting (OEF). CSEP has also conducted retrospective tests and developed new testing methods in its quest to answer fundamental scientific questions, improve seismic hazard assessments, and develop new forecast methods for OEF.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180161","usgsCitation":"Michael, A.J., and Werner, M.J., 2018, Preface to the Focus Section on the Collaboratory for the Study of Earthquake Predictability (CSEP): New results and future directions: Seismological Research Letters, v. 89, no. 4, p. 1226-1228, https://doi.org/10.1785/0220180161.","productDescription":"3 p.","startPage":"1226","endPage":"1228","ipdsId":"IP-098396","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468662,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/5ef252d7-aa19-4039-bc43-051e520e7e29","text":"External Repository"},{"id":360739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e826","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":754957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, Maximillian J.","contributorId":211807,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillian","email":"","middleInitial":"J.","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":754958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205285,"text":"70205285 - 2018 - The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata","interactions":[],"lastModifiedDate":"2019-09-12T09:59:18","indexId":"70205285","displayToPublicDate":"2018-06-13T09:48:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5471,"text":"Mitochondrial DNA Part B","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata","title":"The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata","docAbstract":"The complete mitogenome of the stalk-forming diatom Didymosphenia geminata collected from Mineral County, WV, USA was sequenced on the Ion Torrent PGM and Proton sequencers. The D. geminata mitogenome is 37,765 bp and encodes 35 protein coding genes, 25 tRNAs, and both large and small subunit ribosomal RNA genes. The nad11 gene is split into two domains as observed in Phaeodactylum tricornutum, and D. geminata also lacks the large repeat region found in the P. tricornutum mitogenome. Gene order and content within the D. geminata mitogenome is similar to the diatom Berkeleya fennica.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23802359.2018.1462669","usgsCitation":"Aunins, A.W., Hamilton, D., and King, T.L., 2018, The complete mitochondrial genome of the stalk-forming diatom Didymosphenia geminata: Mitochondrial DNA Part B, v. 2, no. 3, p. 676-677, https://doi.org/10.1080/23802359.2018.1462669.","productDescription":"2 p.","startPage":"676","endPage":"677","ipdsId":"IP-093143","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468663,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23802359.2018.1462669","text":"Publisher Index Page"},{"id":367380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-12","publicationStatus":"PW","contributors":{"authors":[{"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":770728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, Donald","contributorId":218937,"corporation":false,"usgs":false,"family":"Hamilton","given":"Donald","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":770730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770729,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216310,"text":"70216310 - 2018 - Divergent effects of land-use, propagule pressure, and climate on woody riparian invasion","interactions":[],"lastModifiedDate":"2020-11-11T15:01:54.712614","indexId":"70216310","displayToPublicDate":"2018-06-13T08:56:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Divergent effects of land-use, propagule pressure, and climate on woody riparian invasion","docAbstract":"Landscape-scale analyses of biological invasion are needed to understand the relative importance of environmental drivers that vary at larger scales, such as climate, propagule pressure, resource availability, and human disturbance. One poorly understood landscape-scale question is, how does human land-use influence riparian plant invasion? To evaluate the relative importance of land-use, climate, propagule pressure, and water availability in riparian invasion, we examined tamarisk (Tamarix ramosissima, T. chinensis, hybrids), Russian olive (Elaeagnus angustifolia), and Siberian elm (Ulmus pumila) occurrence, abundance, and dominance in 238 riparian sites in developed, cultivated, and undeveloped areas of four western USA river basins (281,946 km2). Temperature and propagule pressure from individuals planted nearby largely drove invasive species occurrence, whereas factors likely to affect resource availability (e.g., land-use, precipitation, streamflow intermittency) were more important to abundance and dominance, supporting the argument that species distribution models based on occurrence alone may fail to identify conditions where invasive species have the greatest impact. The role of land-use varied among taxa: urban and suburban land-use increased Siberian elm occurrence, abundance, and dominance, and urban land-use increased Russian olive occurrence, whereas suburban land-use reduced tamarisk dominance. Surprisingly, Siberian elm, which has received scant prior scientific and management attention, occurred as or more frequently than tamarisk and Russian olive (except in undeveloped areas of the Colorado River headwaters) and had higher density and dominance than tamarisk and Russian olive in developed areas. More research is needed to understand the impacts of this largely unrecognized invader on riparian ecosystem services, particularly in urban and suburban areas.
Historical reconstruction of mercury (Hg) accumulation in natural archives, especially lake sediments, has been essential to understanding human perturbation of the global Hg cycle. Here we present a high-resolution chronology of Hg accumulation between 1727 and 1996 in a varved sediment core from the Pettaquamscutt River Estuary (PRE), Rhode Island. Mercury accumulation is examined relative to (1) historic deposition of polycyclic aromatic hydrocarbons (PAHs) and lead (Pb) and its isotopes (206Pb/207Pb) in the same core, and (2) other reconstructions of Hg deposition in urban and remote settings. Mercury deposition in PRE parallels the temporal patterns of PAHs, and both track industrialization and regional coal use between 1850 and 1950 as well as rising petroleum use after 1950. There is little indication of increased Hg deposition from late 19th-century silver and gold mining in the western U.S. A broad maximum of Hg deposition during 1930–1980, and not found in remote sites, is consistent with the predicted influence of additional industrial sources and commercial products. Our results imply that a significant portion of global anthropogenic Hg emissions during the 20th century was deposited locally, near urban and industrial centers of Hg use and release.
We reexamine the geometry of the causative fault structure of the 1989 moment-magnitude-6.9 Loma Prieta earthquake in central California, using seismic-reflection, earthquake-hypocenter, and magnetic data. Our study is prompted by recent interpretations of a two-part dip of the San Andreas Fault (SAF) accompanied by a flower-like structure in the Coachella Valley, in southern California. Initially, the prevailing interpretation of fault geometry in the vicinity of the Loma Prieta earthquake was that the mainshock did not rupture the SAF, but rather a secondary fault within the SAF system, because network locations of aftershocks defined neither a vertical plane nor a fault plane that projected to the surface trace of the SAF. Subsequent waveform cross-correlation and double-difference relocations of Loma Prieta aftershocks appear to have clarified the fault geometry somewhat, with steeply dipping faults in the upper crust possibly connecting to the more moderately southwest-dipping mainshock rupture in the middle crust. Examination of steep-reflection data, extracted from a 1991 seismic-refraction profile through the Loma Prieta area, reveals three robust fault-like features that agree approximately in geometry with the clusters of upper-crustal relocated aftershocks. The subsurface geometry of the San Andreas, Sargent, and Berrocal Faults can be mapped using these features and the aftershock clusters. The San Andreas and Sargent Faults appear to dip northeastward in the uppermost crust and change dip continuously toward the southwest with depth. Previous models of gravity and magnetic data on profiles through the aftershock region also define a steeply dipping SAF, with an initial northeastward dip in the uppermost crust that changes with depth. At a depth 6 to 9 km, upper-crustal faults appear to project into the moderately southwest-dipping, planar mainshock rupture. The change to a planar dipping rupture at 6–9 km is similar to fault geometry seen in the Coachella Valley.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181093","usgsCitation":"Zhang, E., Fuis, G.S., Catchings, R.D., Scheirer, D.S., Goldman, M., and Bauer, K., 2018, Reexamination of the subsurface fault structure in the vicinity of the 1989 moment-magnitude-6.9 Loma Prieta earthquake, central California, using steep-reflection, earthquake, and magnetic data: U.S. Geological Survey Open-File Report 2018–1093, 35 p., https://doi.org/10.3133/ofr20181093.","productDescription":"v; 35 p.","onlineOnly":"Y","ipdsId":"IP-097280","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355009,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1093/coverthb.jpg"},{"id":355010,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1093/ofr20181093.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1093"}],"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 -121.92214965820311,\n 36.97128966642495\n ],\n [\n -121.75804138183594,\n 36.97128966642495\n ],\n [\n -121.75804138183594,\n 37.2\n ],\n [\n -121.92214965820311,\n 37.2\n ],\n [\n -121.92214965820311,\n 36.97128966642495\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Menlo Park, Calif.
Office—Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
https://earthquake.usgs.gov/
Quagga mussels (Dreissena rostriformis bugensis) are highly fecund broadcast spawners invasive to freshwaters of North America and western Europe. We hypothesized that environmental cues from phytoplankton can trigger gamete release in quagga mussels. Nutritious algae may stimulate dreissenid spawning, but less palatable food, such as bloom-forming cyanobacteria, could be a hindrance. The objective of our study was to test whether exposure to cyanobacteria can inhibit quagga mussel spawning and fertilization. We assessed spawning in the presence of serotonin, a known spawning inducer, where adult quagga mussels placed in individual vials were exposed to 13 cyanobacteria cultures and purified algal toxin (microcystin-LR) with artificial lake water as the control. Fertilization success was evaluated by combining eggs with sperm in conjunction with cyanobacteria, and enumerating zygote formation marked by cellular cleavage. Several cyanobacterial strains reduced spawning and fertilization success, but microcystin-LR had no effect. Fertilization was more sensitive to cyanobacteria than gamete release. Only 1 culture, Aphanizomenon flos-aquae, inhibited spawning, whereas 6 cultures consisting of Anabaena flos-aquae, Dolichospermum lemmermanii, Gloeotrichia echinulata, Lyngbya wollei, and 2 Microcystis aeruginosa isolates reduced fertilization rates by up to 44%. The effects of cyanobacteria on reproduction in invasive freshwater mussels in the wild have not yet been identified. However, our laboratory studies show that concentrations of cyanobacteria that are possible during bloom conditions probably limit reproduction. Reproductive consequences on wild populations may become more prevalent as cyanobacteria blooms occur earlier in the year, making overlap between blooms and mussel spawning more common. Describing the mechanism by which cyanobacteria inhibit spawning and fertilization could reveal novel control methods to limit reproduction of this invasive species.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/698353","usgsCitation":"Boegehold, A.G., Johnson, N., Ran, J.L., and Kashian, D.R., 2018, Cyanobacteria reduce quagga mussel (Dreissena rostriformis bugensis) spawning and fertilization success: Freshwater Science, v. 37, no. 3, p. 510-518, https://doi.org/10.1086/698353.","productDescription":"9 p.","startPage":"510","endPage":"518","ipdsId":"IP-088358","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":437865,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WQU3P2","text":"USGS data release","linkHelpText":"Sperm motility of quagga mussels exposed to cyanobacteria in a laboratory bioassay, 2016"},{"id":437864,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7NFC","text":"USGS data release","linkHelpText":"Cyanobacteria reduce quagga mussel spawning and fertilization success in laboratory bioassays"},{"id":355016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e569e4b060350a15d12b","contributors":{"authors":[{"text":"Boegehold, Anna G.","contributorId":205600,"corporation":false,"usgs":false,"family":"Boegehold","given":"Anna","email":"","middleInitial":"G.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":737926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":737925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ran, Jeffrey L.","contributorId":205601,"corporation":false,"usgs":false,"family":"Ran","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":737927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kashian, Donna R.","contributorId":205602,"corporation":false,"usgs":false,"family":"Kashian","given":"Donna","email":"","middleInitial":"R.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":737928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195591,"text":"sir20185029 - 2018 - Streamflow and selenium loads during synoptic sampling of the Gunnison River and its tributaries near Delta, Colorado, November 2015","interactions":[],"lastModifiedDate":"2018-06-14T10:02:19","indexId":"sir20185029","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","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":"2018-5029","title":"Streamflow and selenium loads during synoptic sampling of the Gunnison River and its tributaries near Delta, Colorado, November 2015","docAbstract":"In response to the need for more information about selenium (Se) sources and transport, the U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board, completed a study that characterized Se loads in a reach of the Gunnison River between Delta and Grand Junction, Colo. This report identifies where possible dissolved Se loading is occurring in a study reach in the Lower Gunnison River Basin between Delta and Grand Junction on November 19, 2015.
The combined Se loads from the Gunnison River at Delta (site 3) and the Uncompahgre River at Delta (site 4) were about 95 percent of the load at the furthest downstream main-stem sample location at the Gunnison River below Roubideau Creek near Delta (site 20) (31.6 and 33.4 pounds per day, respectively), indicating that about 5 percent of the total load (1.8 pounds) was potentially contributed from diffuse groundwater inflow. Main-stem streamflow accounting during November 2015 in a downstream direction was not supportive of substantial net gains or losses in the main-stem water balance.
The cumulative load from measured tributary inflows downstream from the Uncompahgre River confluence only amounted to 1.2 pounds of the main-stem loads (1.8 pounds gain) from site 4 to the end of the synoptic reach at site 20. The remaining 33 percent (about 0.6 pounds) of Se load increase was not accounted for by known tributary inflow. Yet, the small changes in the streamflow mass balance in the same reach does not strongly support a net inflow explanation for the apparent gain in load.
Based on the results of the loading and streamflow analysis, when errors in the loading estimates are considered, there is no conclusive evidence of an appreciable amount of Se load that is unaccounted for in the study reach of the Gunnison River as was originally hypothesized. Differences determined from comparisons of cumulative tributary loads and Gunnison River main-stem loads for this study are within error estimates of the main-stem loads.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185029","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Stevens, M.R., Leib, K.J., Thomas, J.C., Bauch, N.J., and Richards, R.J., 2018, Streamflow and selenium loads during synoptic sampling of the Gunnison River and its tributaries near Delta, Colorado, November 2015: U.S. GeologicalSurvey Scientific Investigations Report 2018–5029, 17 p., https://doi.org/10.3133/sir20185029.","productDescription":"v, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-087865","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":354762,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5029/coverthb.jpg"},{"id":354763,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5029/sir20185029.pdf","text":"Report","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5029"}],"country":"United States","state":"Colorado","otherGeospatial":"Gunnison River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109,\n 37.5\n ],\n [\n -106.25,\n 37.5\n ],\n [\n -106.25,\n 39.5\n ],\n [\n -109,\n 39.5\n ],\n [\n -109,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225
We develop a long‐term (a few decades or longer) earthquake rate forecast for Italy based on smoothed seismicity for incorporation in the 2017–2018 Italian Probabilistic Seismic Hazard Maps (IPSHM). Because the earthquake rate models from previous IPSHM were computed using source zones that were drawn around seismicity and tectonic provinces, the present model will be the first introduction of the smoothed seismicity method into the IPSHM. Smoothed seismicity models are constructed from both historical CPTI15 (Catalogo Parametrico dei Terremoti Italiani, 1000–2014) and instrumental (1981–2016) earthquake catalogs and use both fixed and adaptive smoothing methods. We compute spatial likelihood values comparing the spatial distribution of observed earthquakes with a suite of trial earthquake rate models to optimize smoothing parameters and catalogs. Then we produce an ensemble model using two different smoothing models (adaptive and fixed) and two earthquake catalogs (historical and instrumental), which are weighted equally through a logic‐tree approach to improve the forecast capability. We also compare our optimized smoothed seismicity models with the best two models of the Italian Collaboratory for the Study of Earthquake Predictability (CSEP) experiment and retrospectively test them with the CSEP methodology. We observed that the ensemble model performs slightly better than the optimized fixed and the adaptive smoothing seismicity models obtained in this study and the best time‐independent model of the CSEP Italian experiment. The preferred ensemble model forecasts an annual rate of 1.47
The National Satellite Land Remote Sensing Data Archive is managed on behalf of the Secretary of the Interior by the U.S. Geological Survey’s Earth Resources Observation and Science Center. The Land Remote Sensing Policy Act of 1992 (51 U.S.C. §601) directed the U.S. Department of the Interior to establish a permanent global archive consisting of imagery over land areas obtained from satellites orbiting the Earth. The law also directed the U.S. Department of the Interior, delegated to the U.S. Geological Survey, to ensure proper storage and preservation of imagery, and timely access for all parties. Since 2008, these images have been available at no cost to the user.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183027","usgsCitation":"Faundeen, J.L., and Longhenry, R., 2018, National Satellite Land Remote Sensing Data Archive: U.S. Geological Survey Fact Sheet 2018–3027, 2 p., https://doi.org/10.3133/fs20183027. [Supersedes USGS Fact Sheet 2013–3100.]","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-096390","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":354967,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3027/fs20183027.pdf","text":"Report","size":"10.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018–3027"},{"id":354966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3027/coverthb2.jpg"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Effective methods to control invasive Sea Lampreys Petromyzon marinus in the Laurentian Great Lakes often rely on knowledge of the timing of the Sea Lamprey spawning migration, which has previously been characterized using data gathered from traps. Most assessment traps are located many kilometers upstream from the river mouth, so less is known about when Sea Lampreys enter spawning streams and which environmental cues trigger their transition from lakes to rivers. To decide how to develop barriers and traps that target Sea Lampreys when they enter a stream, the stream entry of Sea Lampreys into a Lake Huron tributary during 2 years was assessed using dual‐frequency identification sonar (DIDSON). Sea Lampreys entered the stream in low densities when temperatures first reached 4°C, which was up to 6 weeks and a mean of 4 weeks earlier than when they were first captured in traps located upstream. The probability of stream entry was significantly affected by stream temperature and discharge, and stream entry timing peaked when stream temperatures rose to 12°C and discharge was high. Examination of the entry at a finer temporal resolution (i.e., minutes) indicated that Sea Lampreys did not exhibit social behavior (e.g., shoaling) during stream entry. Our findings indicate that Sea Lampreys may be vulnerable to alternative trap types near river mouths and hydraulic challenges associated with traditional traps. Also, seasonal migration barriers near stream mouths may need to be installed soon after ice‐out to effectively block the entire adult Sea Lamprey cohort from upstream spawning habitat.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10052","usgsCitation":"McCain, E.L., Johnson, N., Hrodey, P.J., and Pangle, K.L., 2018, Characterization of Sea Lamprey stream entry using dual‐frequency identification sonar: Transactions of the American Fisheries Society, v. 147, no. 3, p. 514-524, https://doi.org/10.1002/tafs.10052.","productDescription":"11 p.","startPage":"514","endPage":"524","ipdsId":"IP-094521","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":355013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Ocqueoc River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.35028076171875,\n 45.377231681380145\n ],\n [\n -83.87786865234375,\n 45.377231681380145\n ],\n [\n -83.87786865234375,\n 45.67932023569538\n ],\n [\n -84.35028076171875,\n 45.67932023569538\n ],\n [\n -84.35028076171875,\n 45.377231681380145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-22","publicationStatus":"PW","scienceBaseUri":"5b46e56ae4b060350a15d133","contributors":{"authors":[{"text":"McCain, Erin L.","contributorId":205577,"corporation":false,"usgs":false,"family":"McCain","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":37116,"text":"Department of Biology, Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":737885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":737884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hrodey, Peter J.","contributorId":205578,"corporation":false,"usgs":false,"family":"Hrodey","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":737886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pangle, Kevin L.","contributorId":205579,"corporation":false,"usgs":false,"family":"Pangle","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":37116,"text":"Department of Biology, Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":737887,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197607,"text":"70197607 - 2018 - A distributed pipeline for DIDSON data processing","interactions":[],"lastModifiedDate":"2018-06-14T09:43:00","indexId":"70197607","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A distributed pipeline for DIDSON data processing","docAbstract":"Technological advances in the field of ecology allow data on ecological systems to be collected at high resolution, both temporally and spatially. Devices such as Dual-frequency Identification Sonar (DIDSON) can be deployed in aquatic environments for extended periods and easily generate several terabytes of underwater surveillance data which may need to be processed multiple times. Due to the large amount of data generated and need for flexibility in processing, a distributed pipeline was constructed for DIDSON data making use of the Hadoop ecosystem. The pipeline is capable of ingesting raw DIDSON data, transforming the acoustic data to images, filtering the images, detecting and extracting motion, and generating feature data for machine learning and classification. All of the tasks in the pipeline can be run in parallel and the framework allows for custom processing. Applications of the pipeline include monitoring migration times, determining the presence of a particular species, estimating population size and other fishery management tasks.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 IEEE International Conference on Big Data","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceDate":"December 11-14, 2017","conferenceLocation":" Boston, MA","language":"English","publisher":"IEEE","doi":"10.1109/BigData.2017.8258458","usgsCitation":"Li, L., Danner, T., Eickholt, J., McCann, E.L., Pangle, K., and Johnson, N., 2018, A distributed pipeline for DIDSON data processing, in 2017 IEEE International Conference on Big Data, Boston, MA, December 11-14, 2017, https://doi.org/10.1109/BigData.2017.8258458.","ipdsId":"IP-092643","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":355011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e56ae4b060350a15d131","contributors":{"authors":[{"text":"Li, Liling","contributorId":205580,"corporation":false,"usgs":false,"family":"Li","given":"Liling","email":"","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":737889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danner, Tyler","contributorId":205581,"corporation":false,"usgs":false,"family":"Danner","given":"Tyler","email":"","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":737890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eickholt, Jesse","contributorId":205582,"corporation":false,"usgs":false,"family":"Eickholt","given":"Jesse","email":"","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":737891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCann, Erin L.","contributorId":195636,"corporation":false,"usgs":false,"family":"McCann","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":737892,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pangle, Kevin","contributorId":195637,"corporation":false,"usgs":false,"family":"Pangle","given":"Kevin","affiliations":[],"preferred":false,"id":737893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":737888,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197613,"text":"70197613 - 2018 - Protection from UV light is an evolutionarily conserved feature of the haematopoietic niche","interactions":[],"lastModifiedDate":"2018-07-16T11:08:45","indexId":"70197613","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Protection from UV light is an evolutionarily conserved feature of the haematopoietic niche","docAbstract":"Haematopoietic stem and progenitor cells (HSPCs) require a specific microenvironment, the haematopoietic niche, which regulates HSPC behaviour. The location of this niche varies across species, but the evolutionary pressures that drive HSPCs to different microenvironments remain unknown. The niche is located in the bone marrow in adult mammals, whereas it is found in other locations in non-mammalian vertebrates, for example, in the kidney marrow in teleost fish. Here we show that a melanocyte umbrella above the kidney marrow protects HSPCs against ultraviolet light in zebrafish. Because mutants that lack melanocytes have normal steady-state haematopoiesis under standard laboratory conditions, we hypothesized that melanocytes above the stem cell niche protect HSPCs against ultraviolet-light-induced DNA damage. Indeed, after ultraviolet-light irradiation, unpigmented larvae show higher levels of DNA damage in HSPCs, as indicated by staining of cyclobutane pyrimidine dimers and have reduced numbers of HSPCs, as shown by cmyb (also known as myb) expression. The umbrella of melanocytes associated with the haematopoietic niche is highly evolutionarily conserved in aquatic animals, including the sea lamprey, a basal vertebrate. During the transition from an aquatic to a terrestrial environment, HSPCs relocated into the bone marrow, which is protected from ultraviolet light by the cortical bone around the marrow. Our studies reveal that melanocytes above the haematopoietic niche protect HSPCs from ultraviolet-light-induced DNA damage in aquatic vertebrates and suggest that during the transition to terrestrial life, ultraviolet light was an evolutionary pressure affecting the location of the haematopoietic niche.
","language":"English","publisher":"Nature","doi":"10.1038/s41586-018-0213-0","usgsCitation":"Kapp, F.G., Perlin, J.R., Hagedorn, E.J., Gansner, J.M., Schwarz, D.E., O’Connell, L.A., Johnson, N., Amemiya, C., Fisher, D.E., Wolfle, U., Trompouki, E., Niemeyer, C.M., Driever, W., and Zon, L.I., 2018, Protection from UV light is an evolutionarily conserved feature of the haematopoietic niche: Nature, v. 558, p. 445-448, https://doi.org/10.1038/s41586-018-0213-0.","productDescription":"4 p.","startPage":"445","endPage":"448","onlineOnly":"N","ipdsId":"IP-094654","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468666,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6093292","text":"External Repository"},{"id":355014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"558","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e569e4b060350a15d12d","contributors":{"authors":[{"text":"Kapp, Friedrich G.","contributorId":205587,"corporation":false,"usgs":false,"family":"Kapp","given":"Friedrich","email":"","middleInitial":"G.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perlin, Julie R.","contributorId":205588,"corporation":false,"usgs":false,"family":"Perlin","given":"Julie","email":"","middleInitial":"R.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagedorn, Elliott J.","contributorId":205589,"corporation":false,"usgs":false,"family":"Hagedorn","given":"Elliott","email":"","middleInitial":"J.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gansner, John M.","contributorId":205590,"corporation":false,"usgs":false,"family":"Gansner","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":37119,"text":"Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School","active":true,"usgs":false}],"preferred":false,"id":737914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwarz, Daniel E.","contributorId":205591,"corporation":false,"usgs":false,"family":"Schwarz","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":37120,"text":"U.S. Fish and Wildlife Service, Pvt. John Allen National Fish Hatchery","active":true,"usgs":false}],"preferred":false,"id":737915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Connell, Lauren A.","contributorId":205592,"corporation":false,"usgs":false,"family":"O’Connell","given":"Lauren","email":"","middleInitial":"A.","affiliations":[{"id":37121,"text":"FAS Center for Systems Biology, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":737910,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Amemiya, Chris","contributorId":205593,"corporation":false,"usgs":false,"family":"Amemiya","given":"Chris","affiliations":[{"id":37122,"text":"Benaroya Research Institute and Department of Biology, University of Washington","active":true,"usgs":false}],"preferred":false,"id":737917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher, David E.","contributorId":205594,"corporation":false,"usgs":false,"family":"Fisher","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":37123,"text":"Cutaneous Biology Research Center, Massachusetts General Hospital and Harvard Medical School","active":true,"usgs":false}],"preferred":false,"id":737918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wolfle, Ute","contributorId":205595,"corporation":false,"usgs":false,"family":"Wolfle","given":"Ute","email":"","affiliations":[{"id":37124,"text":"Department of Dermatology, Medical Center - University of Freiburg","active":true,"usgs":false}],"preferred":false,"id":737919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trompouki, Eirini","contributorId":205596,"corporation":false,"usgs":false,"family":"Trompouki","given":"Eirini","email":"","affiliations":[{"id":37125,"text":"Department of Cellular and Molecular Immunology, Max Planck Institute of Immunobiology and Epigenetics","active":true,"usgs":false}],"preferred":false,"id":737920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Niemeyer, Charlotte M.","contributorId":205597,"corporation":false,"usgs":false,"family":"Niemeyer","given":"Charlotte","email":"","middleInitial":"M.","affiliations":[{"id":37126,"text":"Department of Pediatric Hematology and Oncology, Center for Pediatrics, Medical Center – University of Freiburg, Faculty of Medicine","active":true,"usgs":false}],"preferred":false,"id":737921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Driever, Wolfgang","contributorId":205598,"corporation":false,"usgs":false,"family":"Driever","given":"Wolfgang","email":"","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737922,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zon, Leonard I.","contributorId":205599,"corporation":false,"usgs":false,"family":"Zon","given":"Leonard","email":"","middleInitial":"I.","affiliations":[{"id":37118,"text":"Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University","active":true,"usgs":false}],"preferred":false,"id":737923,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70197615,"text":"70197615 - 2018 - Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species","interactions":[],"lastModifiedDate":"2018-11-14T09:57:14","indexId":"70197615","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species","docAbstract":"Knowledge of the spatial distributions and dispersal characteristics of invasive species is necessary for managing the spread of highly mobile species, such as invasive bigheaded carps (Bighead Carp [Hypophthalmichthys nobilis] and Silver Carp [H. molitrix]). Management of invasive bigheaded carps in the Illinois River has focused on using human-made barriers and harvest to limit dispersal towards the Laurentian Great Lakes. Acoustic telemetry data were used to parameterize multistate models to examine the spatial dynamics of bigheaded carps in the Illinois River to (1) evaluate the effects of existing dams on movement, (2) identify how individuals distribute among pools, and (3) gauge the effects of reductions in movement towards the invasion front. Multistate models estimated that movement was generally less likely among upper river pools (Starved Rock, Marseilles, and Dresden Island) than the lower river (La Grange and Peoria) which matched the pattern of gated versus wicket style dams. Simulations using estimated movement probabilities indicated that Bighead Carp accumulate in La Grange Pool while Silver Carp accumulate in Alton Pool. Fewer Bighead Carp reached the upper river compared to Silver Carp during simulations. Reducing upstream movement probabilities (e.g., reduced propagule pressure) by ≥ 75% into any of the upper river pools could reduce upper river abundance with similar results regardless of location. Given bigheaded carp reproduction in the upper Illinois River is presently limited, reduced movement towards the invasion front coupled with removal of individuals reaching these areas could limit potential future dispersal towards the Great Lakes.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-018-1772-6","usgsCitation":"Coulter, A.A., Brey, M.K., Lubejko, M., Kallis, J.L., Coulter, D.P., Glover, D.C., Whitledge, G.W., and Garvey, J.E., 2018, Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species: Biological Invasions, v. 20, no. 11, p. 3255-3270, https://doi.org/10.1007/s10530-018-1772-6.","productDescription":"16 p.","startPage":"3255","endPage":"3270","ipdsId":"IP-086127","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437866,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RYXNS4","text":"USGS data release","linkHelpText":"Multistate models of bigheaded carps in the Illinois River reveal spatial dynamics of invasive species: Data"},{"id":355022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Laurentian Great Lakes","volume":"20","issue":"11","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-05","publicationStatus":"PW","scienceBaseUri":"5b46e569e4b060350a15d129","contributors":{"authors":[{"text":"Coulter, Alison A.","contributorId":187652,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":737929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubejko, Matthew","contributorId":195897,"corporation":false,"usgs":false,"family":"Lubejko","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":737931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kallis, Jahn L.","contributorId":205603,"corporation":false,"usgs":false,"family":"Kallis","given":"Jahn","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":737932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coulter, David P.","contributorId":205629,"corporation":false,"usgs":false,"family":"Coulter","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":737999,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glover, David C.","contributorId":178006,"corporation":false,"usgs":false,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737933,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garvey, James E.","contributorId":178007,"corporation":false,"usgs":false,"family":"Garvey","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":737935,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":737934,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70197616,"text":"70197616 - 2018 - Nonbreeding duck use at Central Flyway National Wildlife Refuges","interactions":[],"lastModifiedDate":"2018-06-14T09:37:43","indexId":"70197616","displayToPublicDate":"2018-06-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Nonbreeding duck use at Central Flyway National Wildlife Refuges","docAbstract":"Within the U.S. portion of the Central Flyway, the U.S. Fish and Wildlife Service manages waterfowl on numerous individual units (i.e., Refuges) within the National Wildlife Refuge System. Presently, the extent of waterfowl use that Refuges receive and the contribution of Refuges to waterfowl populations (i.e., the proportion of the Central Flyway population registered at each Refuge) remain unassessed. Such an evaluation would help determine to what extent Refuges support waterfowl relative to stated targets, aid in identifying species requiring management attention, inform management targets, and improve fiscal efficiencies. Using historic monitoring data (1954–2008), we performed this assessment for 23 Refuges in Texas, New Mexico, Oklahoma, Kansas, and Nebraska during migration and wintering months (October–March). We examined six dabbling ducks and two diving ducks, plus all dabbling ducks and all diving ducks across two periods (long-term [all data] and short-term [last 10 October–March periods]). Individual Refuge use was represented by the sum of monthly duck count averages for October–March. We used two indices of Refuge contribution: peak contribution and January contribution. Peak contribution was the highest monthly count average for each October–March period divided by the indexed population total for the Central Flyway in the corresponding year; January contribution used the January count average divided by the corresponding population index. Generally, Refuges in Kansas, Nebraska, and New Mexico recorded most use and contribution for mallards Anas platyrhynchos. Refuges along the Texas Gulf Coast recorded most use and contribution for other dabbling ducks, with Laguna Atascosa and Aransas (including Matagorda Island) recording most use for diving ducks. The long-term total January contribution of the assessed Refuges to ducks wintering in the Central Flyway was greatest for green-winged teal Anas creccawith 35%; 12–15% for American wigeon Mareca americana, gadwall Mareca strepera, and northern pintail Anas acuta; and 7–8% for mallard and mottled duck Anas fulvigula. Results indicated that the reliance on the National Wildlife Refuge System decreased for these ducks, with evidence suggesting that, for several species, the assessed Refuges may be operating at carrying capacity. Future analyses could be more detailed and informative were Refuges to implement a single consistent survey methodology that incorporated estimations of detection bias in the survey process, while concomitantly recording habitat metrics on and neighboring each Refuge.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/042017-JFWM-033","usgsCitation":"Andersson, K., Davis, C.A., Harris, G., and Haukos, D.A., 2018, Nonbreeding duck use at Central Flyway National Wildlife Refuges: Journal of Fish and Wildlife Management, v. 9, no. 1, p. 45-64, https://doi.org/10.3996/042017-JFWM-033.","productDescription":"20 p.","startPage":"45","endPage":"64","ipdsId":"IP-079449","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042017-jfwm-033","text":"Publisher Index Page"},{"id":355021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.67773437499999,\n 26.667095801104814\n ],\n [\n -92.98828125,\n 26.667095801104814\n ],\n [\n -92.98828125,\n 43.644025847699496\n ],\n [\n -104.67773437499999,\n 43.644025847699496\n ],\n [\n -104.67773437499999,\n 26.667095801104814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-04","publicationStatus":"PW","scienceBaseUri":"5b46e568e4b060350a15d127","contributors":{"authors":[{"text":"Andersson, Kent","contributorId":205605,"corporation":false,"usgs":false,"family":"Andersson","given":"Kent","affiliations":[],"preferred":false,"id":737939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Craig A.","contributorId":171490,"corporation":false,"usgs":false,"family":"Davis","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Grant","contributorId":172342,"corporation":false,"usgs":false,"family":"Harris","given":"Grant","affiliations":[],"preferred":false,"id":737941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":737936,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227956,"text":"70227956 - 2018 - Large-scale variation in density of an aquatic ecosystem indicator species","interactions":[],"lastModifiedDate":"2022-02-02T15:47:17.939692","indexId":"70227956","displayToPublicDate":"2018-06-12T09:37:25","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale variation in density of an aquatic ecosystem indicator species","docAbstract":"Monitoring indicator species is a pragmatic approach to natural resource assessments, especially when the link between the indicator species and ecosystem state is well justified. However, conducting ecosystem assessments over representative spatial scales that are insensitive to local heterogeneity is challenging. We examine the link between polychlorinated biphenyl (PCB) contamination and population density of an aquatic habitat specialist over a large spatial scale using non-invasive genetic spatial capture-recapture. Using American mink (Neovison vison), a predatory mammal and an indicator of aquatic ecosystems, we compared estimates of density in two major river systems, one with extremely high levels of PCB contamination (Hudson River), and a hydrologically independent river with lower PCB levels (Mohawk River). Our work supports the hypothesis that the mink densities are substantially (1.64-1.67 times) lower in the contaminated river system. We demonstrate the value of coupling the indicator species concept with well-conceived and spatially representative monitoring protocols. PCBs have demonstrable detrimental effects on aquatic ecosystems, including mink, and these effects are likely to be profound and long-lasting, manifesting as population-level impacts. Through integrating non-invasive data collection, genetic analysis, and spatial capture-recapture methods, we present a monitoring framework for generating robust density estimates across large spatial scales.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41598-018-26847-x","usgsCitation":"Sutherland, C., Fuller, A.K., Royle, A., Hare, M.P., and Madden, S., 2018, Large-scale variation in density of an aquatic ecosystem indicator species: Scientific Reports, v. 8, p. 1-10, https://doi.org/10.1038/s41598-018-26847-x.","productDescription":"8958, 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-094157","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-26847-x","text":"Publisher Index Page"},{"id":395271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River, Mohawk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.39666748046874,\n 41.044145364313174\n ],\n [\n -73.43536376953125,\n 41.044145364313174\n ],\n [\n -73.43536376953125,\n 43.31718491566705\n ],\n [\n -74.39666748046874,\n 43.31718491566705\n ],\n [\n -74.39666748046874,\n 41.044145364313174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2018-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Sutherland, Chris","contributorId":245389,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[{"id":49181,"text":"Univ. 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Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madden, Sean","contributorId":273233,"corporation":false,"usgs":false,"family":"Madden","given":"Sean","affiliations":[{"id":56439,"text":"NY DEC","active":true,"usgs":false}],"preferred":false,"id":832697,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222617,"text":"70222617 - 2018 - Broadband ground‐motion simulation of the 2011 Mw 6.2 Christchurch, New Zealand, earthquake","interactions":[],"lastModifiedDate":"2021-08-09T13:10:32.759248","indexId":"70222617","displayToPublicDate":"2018-06-12T08:07:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Broadband ground‐motion simulation of the 2011 Mw 6.2 Christchurch, New Zealand, earthquake","docAbstract":"This study presents the details and results of hybrid broadband (0–10 Hz) ground‐motion simulations for the 2011
A multibeam echosounder is a type of sound navigation and ranging device that uses sound waves to “see” through even murky waters. Unlike a single beam echosounder (also known as a depth sounder or fathometer) that releases a single sound pulse in a single, narrow beam and “listens” for the return echo, a multibeam system emits a multidirectional radial beam to obtain information within a fan-shaped swath. The timing and direction of the returning sound waves provide detailed information on the depth of water and the shape of the river channel, lake bottom, or any underwater features of interest. This information has been used by the U.S. Geological Survey to efficiently generate high-resolution maps of river and lake bottoms.
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U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
The use of remote cameras is widespread in wildlife ecology, yet few examples exist of their utility for collecting environmental data. We used a novel camera trap method to evaluate the accuracy of gridded snow data in a mountainous region of the northeastern US. We were specifically interested in assessing (1) how snow depth observations from remote cameras compare with gridded climate data, (2) the sources of error associated with the gridded data and (3) the influence of spatial sampling on bias. We compared daily observations recorded by remote cameras with Snow Data Assimilation System (SNODAS ) gridded predictions using data from three winters (2014–2016). Snow depth observations were correlated with SNODAS predictions for sites (R 2 = 0.20) and regions (R 2 = 0.16), yet we detected factors associated with SNODAS bias at both scales. Specifically, SNODAS underpredicted depths at high elevations, at sites with higher solar radiation, and within conifer‐dominated forest. Depths were most underpredicted at highest elevations, up to 44 and 26 cm on average at the site and region scales, respectively. Bias was greatest when predictions were lowest, occasionally predicting snow absence when depths were >100 cm at camera sites. We also detected breakdowns in accuracy when certain environmental conditions varied within the 1 km2 SNODAS grid cells. For example, underprediction was greatest when the solar radiation values of camera stations increased relative to the mean of the SNODAS grid cells. This relationship was most prominent in mountainous regions, suggesting that factors which influence solar radiation (e.g. topographic complexity) contribute to SNODAS inaccuracy. We caution using gridded snow data for ecological studies when bias is unknown. We suggest increased sampling to adjust for errors associated with gridded data products that arise from factors, such as forest cover and topographic variability. Increasing resolution and accuracy of climate data will improve predictions of species’ responses to climate change.
","language":"English","publisher":"Wiley","doi":"10.1002/rse2.85","usgsCitation":"Siren, A.P., Somos-Valenzuela, M., Callahan, C., Kilborn, J.R., Duclos, T., Tragert, C., and Morelli, T.L., 2018, Looking beyond wildlife: Using remote cameras to evaluate accuracy of gridded snow data: Remote Sensing in Ecology and Conservation, v. 4, no. 4, p. 375-386, https://doi.org/10.1002/rse2.85.","productDescription":"12 p.","startPage":"375","endPage":"386","ipdsId":"IP-097034","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":468668,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.85","text":"Publisher Index Page"},{"id":376820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.432861328125,\n 43.01268088642034\n ],\n [\n -70.9222412109375,\n 43.329173667843904\n ],\n [\n -71.08154296875,\n 45.29421101337773\n ],\n [\n -71.1419677734375,\n 45.24782097102814\n ],\n [\n -71.2408447265625,\n 45.282617057517406\n ],\n [\n -71.4825439453125,\n 44.94536144236941\n ],\n [\n -72.09228515625,\n 44.63739123445585\n ],\n [\n -72.3065185546875,\n 43.878097874251736\n ],\n [\n -72.432861328125,\n 43.01268088642034\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Siren, Alexej P.K. 0000-0003-3067-6418","orcid":"https://orcid.org/0000-0003-3067-6418","contributorId":236777,"corporation":false,"usgs":false,"family":"Siren","given":"Alexej","email":"","middleInitial":"P.K.","affiliations":[{"id":41510,"text":"Department of Environmental Conservation, University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":794315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Somos-Valenzuela, Marcelo 0000-0001-7863-4407","orcid":"https://orcid.org/0000-0001-7863-4407","contributorId":236778,"corporation":false,"usgs":false,"family":"Somos-Valenzuela","given":"Marcelo","email":"","affiliations":[{"id":41510,"text":"Department of Environmental Conservation, University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":794316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callahan, Catherine","contributorId":236779,"corporation":false,"usgs":false,"family":"Callahan","given":"Catherine","email":"","affiliations":[{"id":47548,"text":"Universidad de La Frontera, Temuco, Chile","active":true,"usgs":false}],"preferred":false,"id":794317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kilborn, Jillian R.","contributorId":236780,"corporation":false,"usgs":false,"family":"Kilborn","given":"Jillian","email":"","middleInitial":"R.","affiliations":[{"id":47548,"text":"Universidad de La Frontera, Temuco, Chile","active":true,"usgs":false}],"preferred":false,"id":794318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duclos, Timothy","contributorId":236781,"corporation":false,"usgs":false,"family":"Duclos","given":"Timothy","email":"","affiliations":[{"id":41510,"text":"Department of Environmental Conservation, University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":794319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tragert, Cassie","contributorId":236782,"corporation":false,"usgs":false,"family":"Tragert","given":"Cassie","email":"","affiliations":[{"id":41510,"text":"Department of Environmental Conservation, University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":794320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":794321,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227616,"text":"70227616 - 2018 - Celebrating 50 years of SWIMs (Salt Water Intrusion Meetings)","interactions":[],"lastModifiedDate":"2022-01-21T16:01:42.451295","indexId":"70227616","displayToPublicDate":"2018-06-11T09:54:21","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Celebrating 50 years of SWIMs (Salt Water Intrusion Meetings)","docAbstract":"The Salt Water Intrusion Meetings, or SWIMs, are a series of meetings that focus on seawater intrusion in coastal aquifers and other salinisation processes. 2018 marks the 50th year of the SWIM and the 25th biennial meeting. The SWIM proceedings record half a century of research progress on site characterisation, geophysical and geochemical techniques, variable-density\nflow, modelling, and water management. The SWIM is positioning itself to remain a viable platform for discussing the coastal aquifer management challenges of the next 50 years.","language":"English","publisher":"Springer","doi":"10.1007/s10040-018-1800-8","usgsCitation":"Post, V.E., Essink, G.O., Szymkiewicz, A., Bakker, M., Houben, G., Custodio, E., and Voss, C., 2018, Celebrating 50 years of SWIMs (Salt Water Intrusion Meetings): Hydrogeology Journal, v. 26, p. 1767-1770, https://doi.org/10.1007/s10040-018-1800-8.","productDescription":"4 p.","startPage":"1767","endPage":"1770","ipdsId":"IP-096363","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468669,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://resolver.tudelft.nl/uuid:3de9cb1c-cf19-45b1-ab4f-7b96ab65acaa","text":"External Repository"},{"id":394663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2018-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Post, Vincent E. A.","contributorId":209968,"corporation":false,"usgs":false,"family":"Post","given":"Vincent","email":"","middleInitial":"E. A.","affiliations":[{"id":38041,"text":"College of Science and Engineering, and National Centre for Groundwater Research and Training, Flinders University; Federal Institute for Geosciences and Natural Resources (BGR), Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":831349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Essink, Gualbert Oude","contributorId":272017,"corporation":false,"usgs":false,"family":"Essink","given":"Gualbert","email":"","middleInitial":"Oude","affiliations":[{"id":52847,"text":"Deltares and Utrecht University","active":true,"usgs":false}],"preferred":false,"id":831350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szymkiewicz, Adam","contributorId":272018,"corporation":false,"usgs":false,"family":"Szymkiewicz","given":"Adam","email":"","affiliations":[{"id":56334,"text":"Gdańsk University of Technology","active":true,"usgs":false}],"preferred":false,"id":831351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bakker, Mark","contributorId":272019,"corporation":false,"usgs":false,"family":"Bakker","given":"Mark","affiliations":[{"id":27619,"text":"TU Delft","active":true,"usgs":false}],"preferred":false,"id":831352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houben, Georg","contributorId":272020,"corporation":false,"usgs":false,"family":"Houben","given":"Georg","email":"","affiliations":[{"id":56309,"text":"Federal Institute for Geosciences and Natural Resources (BGR)","active":true,"usgs":false}],"preferred":false,"id":831353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Custodio, Emilio","contributorId":272021,"corporation":false,"usgs":false,"family":"Custodio","given":"Emilio","email":"","affiliations":[{"id":56335,"text":"Technical University of Catalonia (UPC)","active":true,"usgs":false}],"preferred":false,"id":831354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":831355,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216336,"text":"70216336 - 2018 - Evolving environmental and geometric controls on Columbia Glacier’s continued retreat","interactions":[],"lastModifiedDate":"2020-11-12T15:31:39.238099","indexId":"70216336","displayToPublicDate":"2018-06-11T09:27:01","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7354,"text":"Journal of Geophysical Research- Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Evolving environmental and geometric controls on Columbia Glacier’s continued retreat","docAbstract":"Geometry strongly controls the dynamic behavior of marine‐terminating (tidewater) glaciers, significantly influencing advance and retreat cycles independent of climate. Yet the recent, nearly ubiquitous retreat of tidewater glaciers suggests that changes in atmospheric and oceanic forcing may also drive dynamic change. To isolate the influence of geometry on tidewater glacier dynamics, we analyzed detailed observational time series from 2012 to 2016 for two tidewater glaciers with shared dynamic histories and environmental forcing: Columbia Glacier and its former tributary (Post Glacier) in southcentral Alaska. We find that although terminus retreat has driven decadal‐scale changes in dynamics of the Columbia‐Post system, environmental factors contribute to short‐term (i.e., seasonal) dynamic variability. In particular, analysis of force balance time series indicates that observed variations in speed result from seasonal changes to the subglacial hydrologic system and associated changes in basal drag. Variations in terminus position only drive noticeable speed change when the terminus retreats from regions of relatively high basal drag. In agreement with long‐term analyses of Columbia Glacier, we find that terminus geometry can perturb the timing of seasonal ice flow patterns. Specifically, our data support the idea that retreat of a glacier terminus into deeper water is accompanied by a shift in the primary control on frontal ablation. Although our analysis focuses on two Alaskan glaciers, our data suggest that changes in the relative importance of surface meltwater and buoyancy effects on submarine melting and/or calving may manifest as a shift in terminus change seasonality and offer a mechanism to identify frontal ablation controls.