The region surrounding the Modoc Plateau, encompassing parts of northeastern California, southern Oregon, and northwestern Nevada, lies at an intersection between two tectonic provinces; the Basin and Range province and the Cascade volcanic arc. Both of these provinces have substantial geothermal resource base and resource potential. Geothermal systems with evidence of magmatic heat, associated with Cascade arc magmatism, typify the western side of the region. Systems on the eastern side of the region appear to be fault controlled with heat derived from high crustal heat flow, both of which are typical of the Basin and Range. As it has the potential to host Cascade arc-type geothermal resources, Basin and Range-type geothermal resources, and/or resources with characteristics of both provinces, and because there is relatively little current development, the Modoc Plateau region represents an intriguing potential for undiscovered geothermal resources. It remains unclear however, what specific set(s) of characteristics are diagnostic of Modoc-type geothermal systems and how or if those characteristics are distinct from Basin and Range-type or Cascade arc-type geothermal systems. In order to evaluate the potential for undiscovered geothermal resources in the Modoc area, we integrate a wide variety of existing data in order to evaluate geothermal resource potential and exploration risk utilizing ‘play-fairway’ analysis. We consider that the requisite parameters for hydrothermal circulation are: 1) heat that is sufficient to drive circulation, and 2) permeability that is sufficient to allow for fluid circulation in the subsurface. We synthesize data that indicate the extent and distribution of these parameters throughout the Modoc region. ‘Fuzzy logic’ is used to incorporate expert opinion into the utility of each dataset as an indicator of either heat or permeability, and thus geothermal favorability. The results identify several geothermal prospects, areas that are highly favorable for the occurrence of both heat and permeability. These are also areas where there is sufficient data coverage, quality, and consistency that the exploration risk is relatively low. These unknown, undeveloped, and under-developed prospects are well-suited for continued exploration efforts. The results also indicate to what degree the two ‘play-types,’ i.e. Cascade arc-type or Basin and Range-type, apply to each of the geothermal prospects, a useful guide in exploration efforts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2017.04.003","usgsCitation":"Siler, D., Zhang, Y., Spycher, N.F., Dobson, P., McClain, J.S., Gasperikova, E., Zierenberg, R.A., Schiffman, P., Ferguson, C., Fowler, A., and Cantwell, C., 2017, Play-fairway analysis for geothermal resources and exploration risk in the Modoc Plateau region: Geothermics, v. 69, p. 15-33, https://doi.org/10.1016/j.geothermics.2017.04.003.","productDescription":"19 p.","startPage":"15","endPage":"33","ipdsId":"IP-081054","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1413861","text":"Publisher Index Page"},{"id":352297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Modoc Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.44287109374999,\n 39.96449067924025\n ],\n [\n -119.5037841796875,\n 39.96449067924025\n ],\n [\n -119.5037841796875,\n 43.06487470411881\n ],\n [\n -121.44287109374999,\n 43.06487470411881\n ],\n [\n -121.44287109374999,\n 39.96449067924025\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"69","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d2","contributors":{"authors":[{"text":"Siler, Drew","contributorId":193559,"corporation":false,"usgs":false,"family":"Siler","given":"Drew","affiliations":[],"preferred":false,"id":730435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yingqi","contributorId":203070,"corporation":false,"usgs":false,"family":"Zhang","given":"Yingqi","email":"","affiliations":[],"preferred":false,"id":730436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spycher, Nicolas F.","contributorId":203071,"corporation":false,"usgs":false,"family":"Spycher","given":"Nicolas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":730437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobson, Patrick","contributorId":193558,"corporation":false,"usgs":false,"family":"Dobson","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":730438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClain, James S.","contributorId":103578,"corporation":false,"usgs":true,"family":"McClain","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":730439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gasperikova, Erika","contributorId":193561,"corporation":false,"usgs":false,"family":"Gasperikova","given":"Erika","affiliations":[],"preferred":false,"id":730440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zierenberg, Robert A.","contributorId":91883,"corporation":false,"usgs":true,"family":"Zierenberg","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":730441,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schiffman, Peter","contributorId":40119,"corporation":false,"usgs":true,"family":"Schiffman","given":"Peter","email":"","affiliations":[],"preferred":false,"id":730442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ferguson, Colin","contributorId":203072,"corporation":false,"usgs":false,"family":"Ferguson","given":"Colin","email":"","affiliations":[],"preferred":false,"id":730443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fowler, Andrew","contributorId":203073,"corporation":false,"usgs":false,"family":"Fowler","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":730444,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cantwell, Carolyn","contributorId":203075,"corporation":false,"usgs":false,"family":"Cantwell","given":"Carolyn","email":"","affiliations":[],"preferred":false,"id":730445,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70192166,"text":"70192166 - 2017 - Atmospheric rivers emerge as a global science and applications focus","interactions":[],"lastModifiedDate":"2017-11-06T13:45:32","indexId":"70192166","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric rivers emerge as a global science and applications focus","docAbstract":"Recent advances in atmospheric sciences and hydrology have identified the key role of atmo-spheric rivers (ARs) in determining the distribution of strong precipitation events in the midlatitudes. The growth of the subject is evident in the increase in scientific publications that discuss ARs (Fig. 1a). Combined with related phenomena, that is, warm conveyor belts (WCBs) and tropical moisture exports (TMEs), the frequency, position, and strength of ARs determine the occurrence of floods, droughts, and water resources in many parts of the world. A conference at the Scripps Institution of Oceanography in La Jolla, California, recently gathered over 100 experts in atmospheric, hydrologic, oceanic, and polar science; ecology; water management; and civil engineering to assess the state of AR science and to explore the need for new information. This first International Atmospheric Rivers Conference (IARC) allowed for much needed introductions and interactions across fields and regions, for example, participants came from five continents, and studies covered ARs in six continents and Greenland (Fig. 1b). IARC also fostered discussions of the status and future of AR science, and attendees strongly supported the idea of holding another IARC at the Scripps Institution of Oceanography in the summer of 2018.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-16-0262.1","usgsCitation":"Ralph, F.M., Dettinger, M.D., Lavers, D.A., Gorodetskaya, I., Martin, A., Viale, M., White, A., Oakley, N.S., Rutz, J.J., Spackman, J.R., Wernli, H., and Cordeira, J.M., 2017, Atmospheric rivers emerge as a global science and applications focus: Bulletin of the American Meteorological Society, v. 98, p. 1969-1973, https://doi.org/10.1175/BAMS-D-16-0262.1.","productDescription":"5 p.","startPage":"1969","endPage":"1973","ipdsId":"IP-079803","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461417,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/bams-d-16-0262.1","text":"External Repository"},{"id":348280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e88be4b09af898c8cb85","contributors":{"authors":[{"text":"Ralph, F. Martin","contributorId":150276,"corporation":false,"usgs":false,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[{"id":17953,"text":"Earth Systems Research Lab, NOAA","active":true,"usgs":false}],"preferred":false,"id":714509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavers, David A.","contributorId":167847,"corporation":false,"usgs":false,"family":"Lavers","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":714510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorodetskaya, Irina","contributorId":197882,"corporation":false,"usgs":false,"family":"Gorodetskaya","given":"Irina","email":"","affiliations":[],"preferred":false,"id":714511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Andrew","contributorId":197883,"corporation":false,"usgs":false,"family":"Martin","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":714512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viale, Maximilliano","contributorId":197884,"corporation":false,"usgs":false,"family":"Viale","given":"Maximilliano","email":"","affiliations":[],"preferred":false,"id":714513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Allen","contributorId":149943,"corporation":false,"usgs":false,"family":"White","given":"Allen","email":"","affiliations":[{"id":17861,"text":"NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":714514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oakley, Nina S.","contributorId":197885,"corporation":false,"usgs":false,"family":"Oakley","given":"Nina","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutz, Jonathan J.","contributorId":197886,"corporation":false,"usgs":false,"family":"Rutz","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spackman, J. Ryan","contributorId":197887,"corporation":false,"usgs":false,"family":"Spackman","given":"J.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":714517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wernli, Heini","contributorId":197888,"corporation":false,"usgs":false,"family":"Wernli","given":"Heini","email":"","affiliations":[],"preferred":false,"id":714518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cordeira, Jason M.","contributorId":197889,"corporation":false,"usgs":false,"family":"Cordeira","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70191712,"text":"70191712 - 2017 - Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","interactions":[],"lastModifiedDate":"2017-10-25T10:42:22","indexId":"70191712","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence","docAbstract":"The 2016 Kumamoto, Japan, earthquake sequence, culminating in the Mw=7.0 16 April 2016 main shock, occurred within an active tectonic belt of central Kyushu. GPS data from GEONET reveal transient crustal motions from several millimeters per year up to ∼3 cm/yr during the first 8.5 months following the sequence. The spatial pattern of horizontal postseismic motions is shaped by both shallow afterslip and viscoelastic relaxation of the lower crust and upper mantle. We construct a suite of 2-D regional viscoelastic structures in order to derive an optimal joint afterslip and viscoelastic relaxation model using forward modeling of the viscoelastic relaxation. We find that afterslip dominates the postseismic relaxation in the near field (within 30 km of the main shock epicenter), while viscoelastic relaxation dominates at greater distance. The viscoelastic modeling strongly favors a very weak lower crust below a ∼65 km wide zone coinciding with the Beppu-Shimabara graben and the locus of central Kyushu volcanism. Inferred uppermost mantle viscosity is relatively low beneath southern Kyushu, consistent with independent inferences of a hydrated mantle wedge within the Nankai trough fore -arc.
","language":"English","publisher":"AGU","doi":"10.1002/2017GL074783","usgsCitation":"Pollitz, F., Kobayashi, T., Yarai, H., Shibazaki, B., and Matsumoto, T., 2017, Viscoelastic lower crust and mantle relaxation following the 14–16 April 2016 Kumamoto, Japan, earthquake sequence: Geophysical Research Letters, v. 44, no. 17, p. 8795-8803, https://doi.org/10.1002/2017GL074783.","productDescription":"9 p.","startPage":"8795","endPage":"8803","ipdsId":"IP-088335","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","city":"Kumamoto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 130,\n 31.5\n ],\n [\n 132,\n 31.5\n ],\n [\n 132,\n 34\n ],\n [\n 130,\n 34\n ],\n [\n 130,\n 31.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f42","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kobayashi, Tomokazu","contributorId":197291,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Tomokazu","email":"","affiliations":[],"preferred":false,"id":713141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yarai, Hiroshi","contributorId":197292,"corporation":false,"usgs":false,"family":"Yarai","given":"Hiroshi","email":"","affiliations":[],"preferred":false,"id":713142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shibazaki, Bunichiro","contributorId":197293,"corporation":false,"usgs":false,"family":"Shibazaki","given":"Bunichiro","email":"","affiliations":[],"preferred":false,"id":713143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsumoto, Takumi","contributorId":197294,"corporation":false,"usgs":false,"family":"Matsumoto","given":"Takumi","email":"","affiliations":[],"preferred":false,"id":713144,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193005,"text":"70193005 - 2017 - Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","interactions":[],"lastModifiedDate":"2017-11-22T16:45:09","indexId":"70193005","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","title":"Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways","docAbstract":"Surveys for secretive marsh birds could be improved with refinements to address regional and species-specific variation in detection probabilities and optimal times of day to survey. Diel variation in relation to naïve occupancy, detection rates, and vocalization rates of King (Rallus elegans) and Clapper (R. crepitans) rails were studied in intracoastal waterways in Virginia, USA. Autonomous acoustic devices recorded vocalizations of King and Clapper rails at 75 locations for 48-hr periods within a marsh complex. Naïve King and Clapper rail occupancy did not vary hourly at either the marsh or the study area level. Combined King and Clapper rail detections and vocalizations varied across marshes, decreased as the sampling season progressed, and, for detections, was greatest during low rising tides (P < 0.01). Hourly variation in vocalization and detection rates did not show a pattern but occurred between 7.8% of pairwise comparisons for detections and 10.5% of pairwise comparisons for vocalizations (P < 0.01). Higher rates of detections and vocalizations occurred during the hours of 00:00–00:59, 05:00–05:59, 14:00–15:59, and lower rates during the hours of 07:00–09:59. Although statistically significant, because there were no patterns in these hourly differences, they may not be biologically relevant and are of little use to management. In fact, these findings demonstrate that surveys for King and Clapper rails in Virginia intracoastal waterways may be effectively conducted throughout the day.","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.0307","usgsCitation":"Stiffler, L.L., Anderson, J.T., Welsh, A.B., Harding, S.R., Costanzo, G.R., and Katzner, T., 2017, Diel variation in detection and vocalization rates of king (Rallus elegans) and clapper (Rallus crepitans) rails in intracoastal waterways: Waterbirds, v. 40, no. 3, p. 263-271, https://doi.org/10.1675/063.040.0307.","productDescription":"9 p.","startPage":"263","endPage":"271","ipdsId":"IP-082121","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469561,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.040.0307","text":"Publisher Index Page"},{"id":348045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Pamunkey River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.94137573242188,\n 37.507002385534385\n ],\n [\n -76.80061340332031,\n 37.507002385534385\n ],\n [\n -76.80061340332031,\n 37.59301558619924\n ],\n [\n -76.94137573242188,\n 37.59301558619924\n ],\n [\n -76.94137573242188,\n 37.507002385534385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c7f","contributors":{"authors":[{"text":"Stiffler, Lydia L.","contributorId":198904,"corporation":false,"usgs":false,"family":"Stiffler","given":"Lydia","email":"","middleInitial":"L.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false},{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":717595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":717596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":717597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harding, Sergio R.","contributorId":198906,"corporation":false,"usgs":false,"family":"Harding","given":"Sergio","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costanzo, Gary R.","contributorId":198907,"corporation":false,"usgs":false,"family":"Costanzo","given":"Gary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":717599,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":717594,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190580,"text":"70190580 - 2017 - Abundant carbon in the mantle beneath Hawai`i","interactions":[],"lastModifiedDate":"2018-10-25T15:56:45","indexId":"70190580","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Abundant carbon in the mantle beneath Hawai`i","docAbstract":"Estimates of carbon concentrations in Earth’s mantle vary over more than an order of magnitude, hindering our ability to understand mantle structure and mineralogy, partial melting, and the carbon cycle. CO2 concentrations in mantle-derived magmas supplying hotspot ocean island volcanoes yield our most direct constraints on mantle carbon, but are extensively modified by degassing during ascent. Here we show that undegassed magmatic and mantle carbon concentrations may be estimated in a Bayesian framework using diverse geologic information at an ocean island volcano. Our CO2 concentration estimates do not rely upon complex degassing models, geochemical tracer elements, assumed magma supply rates, or rare undegassed rock samples. Rather, we couple volcanic CO2 emission rates with probabilistic magma supply rates, which are obtained indirectly from magma storage and eruption rates. We estimate that the CO2content of mantle-derived magma supplying Hawai‘i’s active volcanoes is 0.97−0.19+0.25 wt%—roughly 40% higher than previously believed—and is supplied from a mantle source region with a carbon concentration of 263−62+81 ppm. Our results suggest that mantle plumes and ocean island basalts are carbon-rich. Our data also shed light on helium isotope abundances, CO2/Nb ratios, and may imply higher CO2 emission rates from ocean island volcanoes.
","language":"English","publisher":"Springer Nature","doi":"10.1038/ngeo3007","usgsCitation":"Anderson, K.R., and Poland, M.P., 2017, Abundant carbon in the mantle beneath Hawai`i: Nature Geoscience, v. 10, p. 704-708, https://doi.org/10.1038/ngeo3007.","productDescription":"5 p.","startPage":"704","endPage":"708","ipdsId":"IP-082423","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":345581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.2530517578125,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 18.906286495910905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"59b3ac32e4b08b1644d8f1b8","contributors":{"authors":[{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":709891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":709892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190314,"text":"70190314 - 2017 - Optimization of human, animal, and environmental health by using the One Health approach","interactions":[],"lastModifiedDate":"2021-04-06T14:13:48.166633","indexId":"70190314","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5499,"text":"Journal of Veterinary Science","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of human, animal, and environmental health by using the One Health approach","docAbstract":"Emerging diseases are increasing burdens on public health, negatively affecting the world economy, causing extinction of species, and disrupting ecological integrity. One Health recognizes that human, domestic animal, and wildlife health are interconnected within ecosystem health and provides a framework for the development of multidisciplinary solutions to global health challenges. To date, most health-promoting interventions have focused largely on single-sector outcomes. For example, risk for transmission of zoonotic pathogens from bush-meat hunting is primarily focused on human hygiene and personal protection. However, bush-meat hunting is a complex issue promoting the need for holistic strategies to reduce transmission of zoonotic disease while addressing food security and wildlife conservation issues. Temporal and spatial separation of humans and wildlife, risk communication, and other preventative strategies should allow wildlife and humans to co-exist. Upstream surveillance, vaccination, and other tools to prevent pathogen spillover are also needed. Clear multi-sector outcomes should be defined, and a systems-based approach is needed to develop interventions that reduce risks and balance the needs of humans, wildlife, and the environment. The ultimate goal is long-term action to reduce forces driving emerging diseases and provide interdisciplinary scientific approaches to management of risks, thereby achieving optimal outcomes for human, animal, and environmental health.
","language":"English","publisher":"The Korean Society of Veterinary Science","doi":"10.4142/jvs.2017.18.S1.263","usgsCitation":"Sleeman, J.M., DeLiberto, T., and Nguyen, N.T., 2017, Optimization of human, animal, and environmental health by using the One Health approach: Journal of Veterinary Science, v. 18, no. S1, p. 263-268, https://doi.org/10.4142/jvs.2017.18.S1.263.","productDescription":"6 p.","startPage":"263","endPage":"268","ipdsId":"IP-087569","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4142/jvs.2017.18.s1.263","text":"Publisher Index Page"},{"id":345865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"S1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c0db1de4b091459a5f472e","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":708400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLiberto, Thomas J.","contributorId":139362,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas J.","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":708402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nguyen, Natalie T. 0000-0001-9389-1655 ntnguyen@usgs.gov","orcid":"https://orcid.org/0000-0001-9389-1655","contributorId":195838,"corporation":false,"usgs":true,"family":"Nguyen","given":"Natalie","email":"ntnguyen@usgs.gov","middleInitial":"T.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708401,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194548,"text":"70194548 - 2017 - Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration","interactions":[],"lastModifiedDate":"2022-10-31T16:13:17.565876","indexId":"70194548","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration","docAbstract":"The formation of perched deltas and other lacustrine deposits in the McMurdo Dry Valleys of Antarctica is widely considered to be evidence of valley-filling lakes dammed by the grounded Ross Sea ice sheet during the local Last Glacial Maximum, with lake drainage interpreted as a record of grounding line retreat. We used luminescence dating to determine the age of paleolake deltas and glacial tills in Garwood Valley, a coastal dry valley that opens to the Ross Sea. Luminescence ages are stratigraphically consistent with radiocarbon results from algal mats within the same delta deposits but suggest radiocarbon dates from lacustrine carbonates may overestimate deposit ages by thousands of years. Results suggest that late Holocene delta deposition into paleolake Howard in Garwood Valley persisted until ca. 3.5 ka. This is significantly younger than the date when grounded ice is thought to have retreated from the Ross Sea. Our evidence suggests that the local, stranded ice-cored till topography in Garwood Valley, rather than regional ice-sheet dynamics, may have controlled lake levels for some McMurdo Dry Valleys paleolakes. Age control from the supraglacial Ross Sea drift suggests grounding and up-valley advance of the Ross Sea ice sheet into Garwood valley during marine oxygen isotope stage (MIS) 4 (71–78 ka) and the local Last Glacial Maximum (9–10 ka). This work demonstrates the power of combining luminescence dating with existing radiocarbon data sets to improve understanding of the relationships among paleolake formation, glacial position, and stream discharge in response to climate change.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31539.1","usgsCitation":"Levy, J.S., Rittenour, T.M., Fountain, A.G., and O'Connor, J., 2017, Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration: GSA Bulletin, v. 129, no. 9-10, p. 1071-1084, https://doi.org/10.1130/B31539.1.","productDescription":"14 p.","startPage":"1071","endPage":"1084","ipdsId":"IP-081563","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Garwood Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 162.57810708401985,\n -77.92420898064601\n ],\n [\n 162.57810708401985,\n -78.2292273580918\n ],\n [\n 163.64743653657746,\n -78.2292273580918\n ],\n [\n 163.64743653657746,\n -77.92420898064601\n ],\n [\n 162.57810708401985,\n -77.92420898064601\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"9-10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa5","contributors":{"authors":[{"text":"Levy, Joseph S.","contributorId":201143,"corporation":false,"usgs":false,"family":"Levy","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":724427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fountain, Andrew G.","contributorId":10410,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":724428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":724425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196118,"text":"70196118 - 2017 - Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","interactions":[],"lastModifiedDate":"2018-03-21T09:51:57","indexId":"70196118","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5656,"text":"Irrigation & Drainage Systems Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana","docAbstract":"According to the 2005 U.S. Geological Survey national water use compilation, irrigation is the second largest use of fresh water in the United States, accounting for 37%, or 484.48 million cubic meters per day, of total freshwater withdrawal. Accurately estimating the amount of water withdrawals and actual consumptive water use (the difference between water withdrawals and return flow) for irrigation at a regional scale is difficult. Remote sensing methods make it possible to compare actual ET (ETa) rates which can serve as a proxy for consumptive water use from different irrigation regimes at a regional scale in a systematic manner. This study investigates crucial components of water use from irrigation such as the difference of ETa rates from flood- and sprinkler-irrigated fields, spatial variability of ETa within a watershed, and the effect of sprinkler irrigation on the water budget of the study area. The mean accumulated ETa depth for the 1,051 square kilometer study area within the upper Smith River watershed was about 467 mm 30-meter per pixel for the 2007 growing season (April through mid-October). The total accumulated volume of ETa for the study area was about 474.705 million cubic meters. The mean accumulated ETa depth from sprinkler-irrigated land was about 687 mm and from flood-irrigated land was about 621 mm from flood-irrigated land. On average, the ETa rate from sprinkler-irrigated fields was 0.25 mm per day higher than flood-irrigated fields over the growing season. Spatial analysis showed that ETa rates within individual fields of a single crop type that are irrigated with a single method (sprinkler or flood) can vary up to about 8 mm per day. It was estimated that the amount of sprinkler irrigation in 2007 accounted for approximately 3% of the total volume of ETa in the study area. When compared to non-irrigated dryland, sprinkler irrigation increases ETa by about 59 to 82% per unit area.
","language":"English","publisher":"OMICS International","doi":"10.4172/2168-9768.1000188","usgsCitation":"Sando, R., Caldwell, R.R., and Blasch, K.W., 2017, Using remote sensing to characterize and compare evapotranspiration from different irrigation regimes in the Smith River Watershed of central Montana: Irrigation & Drainage Systems Engineering, v. 6, no. 2, p. 1-10, https://doi.org/10.4172/2168-9768.1000188.","productDescription":"Article 1000188; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-064076","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":469560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2168-9768.1000188","text":"Publisher Index Page"},{"id":352681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Smith River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.456298828125,\n 46.25\n ],\n [\n -110.54443359375,\n 46.25\n ],\n [\n -110.54443359375,\n 46.82731489926434\n ],\n [\n -111.456298828125,\n 46.82731489926434\n ],\n [\n -111.456298828125,\n 46.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3cc","contributors":{"authors":[{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":731437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blasch, Kyle W. 0000-0002-0590-0724 kblasch@usgs.gov","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":1631,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"kblasch@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":731436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193567,"text":"70193567 - 2017 - Forestry best management practices relationships with aquatic and riparian fauna: A review","interactions":[],"lastModifiedDate":"2017-11-06T11:21:22","indexId":"70193567","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Forestry best management practices relationships with aquatic and riparian fauna: A review","docAbstract":"Forestry best management practices (BMPs) were developed to minimize water pollution from forestry operations by primarily addressing sediment and sediment transport, which is the leading source of pollution from silviculture. Implementation of water quality BMPs may also benefit riparian and aquatic wildlife, although wildlife benefits were not driving forces for BMP development. Therefore, we reviewed literature regarding potential contributions of sediment-reducing BMPs to conservation of riparian and aquatic wildlife, while realizing that BMPs also minimize thermal, nutrient, and chemical pollution. We reached five important conclusions: (1) a significant body of research confirms that forestry BMPs contribute to the protection of water quality and riparian forest structure; (2) data-specific relationships between forestry BMPs and reviewed species are limited; (3) forestry BMPs for forest road construction and maintenance, skid trails, stream crossings, and streamside management zones (SMZs) are important particularly for protection of water quality and aquatic species; (4) stream crossings should be carefully selected and installed to minimize sediment inputs and stream channel alterations; and (5) SMZs promote retention of older-age riparian habitat with benefits extending from water bodies to surrounding uplands. Overall, BMPs developed for protection of water quality should benefit a variety of riparian and aquatic species that are sensitive to changes in water quality or forest structure.
","language":"English","publisher":"MDPI","doi":"10.3390/f8090331","usgsCitation":"Warrington, B.M., Aust, W.M., Barrett, S.M., Ford, W.M., Dolloff, C.A., Schilling, E.B., Wigley, T.B., and Bolding, M.C., 2017, Forestry best management practices relationships with aquatic and riparian fauna: A review: Forests, v. 8, no. 9, p. 1-16, https://doi.org/10.3390/f8090331.","productDescription":"Article 331 p.; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-090020","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8090331","text":"Publisher Index Page"},{"id":348259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"5a07e889e4b09af898c8cb7d","contributors":{"authors":[{"text":"Warrington, Brooke M.","contributorId":199538,"corporation":false,"usgs":false,"family":"Warrington","given":"Brooke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aust, W. Michael","contributorId":199539,"corporation":false,"usgs":false,"family":"Aust","given":"W.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":719382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Scott M.","contributorId":199540,"corporation":false,"usgs":false,"family":"Barrett","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolloff, C. Andrew","contributorId":97405,"corporation":false,"usgs":true,"family":"Dolloff","given":"C.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":719384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Erik B.","contributorId":200017,"corporation":false,"usgs":false,"family":"Schilling","given":"Erik","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":720667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wigley, T. Bently","contributorId":169749,"corporation":false,"usgs":false,"family":"Wigley","given":"T.","email":"","middleInitial":"Bently","affiliations":[],"preferred":false,"id":720668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bolding, M. Chad","contributorId":200018,"corporation":false,"usgs":false,"family":"Bolding","given":"M.","email":"","middleInitial":"Chad","affiliations":[],"preferred":false,"id":720669,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192781,"text":"70192781 - 2017 - A new parameterization for integrated population models to document amphibian reintroductions","interactions":[],"lastModifiedDate":"2017-11-07T13:49:47","indexId":"70192781","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A new parameterization for integrated population models to document amphibian reintroductions","docAbstract":"Managers are increasingly implementing reintroduction programs as part of a global effort to alleviate amphibian declines. Given uncertainty in factors affecting populations and a need to make recurring decisions to achieve objectives, adaptive management is a useful component of these efforts. A major impediment to the estimation of demographic rates often used to parameterize and refine decision-support models is that life-stage-specific monitoring data are frequently sparse for amphibians. We developed a new parameterization for integrated population models to match the ecology of amphibians and capitalize on relatively inexpensive monitoring data to document amphibian reintroductions. We evaluate the capability of this model by fitting it to Oregon spotted frog (Rana pretiosa) monitoring data collected from 2007 to 2014 following their reintroduction within the Klamath Basin, Oregon, USA. The number of egg masses encountered and the estimated adult and metamorph abundances generally increased following reintroduction. We found that survival probability from egg to metamorph ranged from 0.01 in 2008 to 0.09 in 2009 and was not related to minimum spring temperatures, metamorph survival probability ranged from 0.13 in 2010–2011 to 0.86 in 2012–2013 and was positively related to mean monthly temperatures (logit-scale slope = 2.37), adult survival probability was lower for founders (0.40) than individuals recruited after reintroduction (0.56), and the mean number of egg masses per adult female was 0.74. Our study is the first to test hypotheses concerning Oregon spotted frog egg-to-metamorph and metamorph-to-adult transition probabilities in the wild and document their response at multiple life stages following reintroduction. Furthermore, we provide an example to illustrate how the structure of our integrated population model serves as a useful foundation for amphibian decision-support models within adaptive management programs. The integration of multiple, but related, data sets has an advantage of being able to estimate complex ecological relationships across multiple life stages, offering a modeling framework that accommodates uncertainty, enforces parsimony, and ensures all model parameters can be confronted with monitoring data.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1564","usgsCitation":"Duarte, A., Pearl, C., Adams, M.J., and Peterson, J., 2017, A new parameterization for integrated population models to document amphibian reintroductions: Ecological Applications, v. 27, no. 6, p. 1761-1775, https://doi.org/10.1002/eap.1564.","productDescription":"15 p.","startPage":"1761","endPage":"1775","ipdsId":"IP-079934","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-07","publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb81","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":716911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":716910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":716912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716909,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193256,"text":"70193256 - 2017 - Landsat-8 TIRS thermal radiometric calibration status","interactions":[],"lastModifiedDate":"2022-04-13T20:29:00.342257","indexId":"70193256","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-8 TIRS thermal radiometric calibration status","docAbstract":"The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the errors, 0.87K and 1.67K (1-σ), respectively. The average error was corrected in operational processing in January 2014, though, this adjustment did not improve the variability. The source of the variability was determined to be stray light from far outside the field of view of the telescope. An algorithm for modeling the stray light effect was developed and implemented in the Landsat-8 processing system in February 2017. The new process has improved the overall calibration of the two TIRS bands, reducing the residual variability in the calibration from 0.87K to 0.51K at 300K for Band 10 and from 1.67K to 0.84K at 300K for Band 11. There are residual average lifetime bias errors in each band: 0.04 W/m2 sr μm (0.30K) and -0.04 W/m2 sr μm (-0.29K), for Bands 10 and 11, respectively.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 10402, Earth Observing Systems XXII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SPIE","doi":"10.1117/12.2276045","usgsCitation":"Barsi, J.A., Markham, B.L., Montanaro, M., Gerace, A., Hook, S., Schott, J.R., Raqueno, N.G., and Morfitt, R., 2017, Landsat-8 TIRS thermal radiometric calibration status, in Proceedings Volume 10402, Earth Observing Systems XXII, 11 p., https://doi.org/10.1117/12.2276045.","productDescription":"11 p.","ipdsId":"IP-089775","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc5","contributors":{"authors":[{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montanaro, Matthew","contributorId":147004,"corporation":false,"usgs":false,"family":"Montanaro","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":718389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerace, Aaron","contributorId":199173,"corporation":false,"usgs":false,"family":"Gerace","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":718390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hook, Simon","contributorId":150339,"corporation":false,"usgs":false,"family":"Hook","given":"Simon","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":718391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schott, John R.","contributorId":199175,"corporation":false,"usgs":false,"family":"Schott","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":718392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raqueno, Nina G.","contributorId":199176,"corporation":false,"usgs":false,"family":"Raqueno","given":"Nina","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":718393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718386,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192965,"text":"70192965 - 2017 - Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils","interactions":[],"lastModifiedDate":"2017-11-12T17:03:11","indexId":"70192965","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils","docAbstract":"It has been shown that EPA Method 3060A does not adequately extract Cr(VI) from chromium ore processing residue (COPR). We modified various parameters of EPA 3060A toward understanding the transformation of COPR minerals in the alkaline extraction and improving extraction of Cr(VI) from NIST SRM 2701, a standard COPR-contaminated soil. Aluminum and Si were the major elements dissolved from NIST 2701, and their concentrations in solution were correlated with Cr(VI). The extraction fluid leached additional Al and Si from the method-prescribed borosilicate glass vessels which appeared to suppress the release of Cr(VI). Use of polytetrafluoroethylene vessels and intensive grinding of NIST 2701 increased the amount of Cr(VI) extracted. These modifications, combined with an increased extraction fluid to sample ratio of ≥900 mL g–1 and 48-h extraction time resulted in a maximum release of 1274 ± 7 mg kg–1 Cr(VI). This is greater than the NIST 2701 certified value of 551 ± 35 mg kg–1 but less than 3050 mg kg–1 Cr(VI) previously estimated by X-ray absorption near edge structure spectroscopy. Some of the increased Cr(VI) may have resulted from oxidation of Cr(III) released from brownmillerite which rapidly transformed during the extractions. Layered-double hydroxides remained stable during extractions and represent a potential residence for unextracted Cr(VI).
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b01719","usgsCitation":"Mills, C., Bern, C.R., Wolf, R., Foster, A.L., Morrison, J.M., and Benzel, W., 2017, Modifications to EPA Method 3060A to Improve Extraction of Cr(VI) from Chromium Ore Processing Residue-Contaminated Soils: Environmental Science & Technology, v. 51, no. 19, p. 11235-11243, https://doi.org/10.1021/acs.est.7b01719.","productDescription":"9 p.","startPage":"11235","endPage":"11243","ipdsId":"IP-084764","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":348632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"19","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-11","publicationStatus":"PW","scienceBaseUri":"5a096bb0e4b09af898c94141","contributors":{"authors":[{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":717456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":717457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Ruth E. 0000-0002-2361-7340","orcid":"https://orcid.org/0000-0002-2361-7340","contributorId":195465,"corporation":false,"usgs":false,"family":"Wolf","given":"Ruth E.","affiliations":[{"id":35727,"text":"PerkinElmer, Incorporated","active":true,"usgs":false}],"preferred":false,"id":717458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":717459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Jean M. 0000-0002-6614-8783 jmorrison@usgs.gov","orcid":"https://orcid.org/0000-0002-6614-8783","contributorId":994,"corporation":false,"usgs":true,"family":"Morrison","given":"Jean","email":"jmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":717461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":717460,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192713,"text":"70192713 - 2017 - A suite of standard post-tagging evaluation metrics can help assess tag retention for field-based fish telemetry research","interactions":[],"lastModifiedDate":"2017-11-08T14:30:59","indexId":"70192713","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"A suite of standard post-tagging evaluation metrics can help assess tag retention for field-based fish telemetry research","docAbstract":"Telemetry can inform many scientific and research questions if a context exists for integrating individual studies into the larger body of literature. Creating cumulative distributions of post-tagging evaluation metrics would allow individual researchers to relate their telemetry data to other studies. Widespread reporting of standard metrics is a precursor to the calculation of benchmarks for these distributions (e.g., mean, SD, 95% CI). Here we illustrate five types of standard post-tagging evaluation metrics using acoustically tagged Blue Catfish (Ictalurus furcatus) released into a Kansas reservoir. These metrics included: (1) percent of tagged fish detected overall, (2) percent of tagged fish detected daily using abacus plot data, (3) average number of (and percent of available) receiver sites visited, (4) date of last movement between receiver sites (and percent of tagged fish moving during that time period), and (5) number (and percent) of fish that egressed through exit gates. These metrics were calculated for one to three time periods: early (<10 d), during (weekly), and at the end of the study (5 months). Over three-quarters of our tagged fish were detected early (85%) and at the end (85%) of the study. Using abacus plot data, all tagged fish (100%) were detected at least one day and 96% were detected for > 5 days early in the study. On average, tagged Blue Catfish visited 9 (50%) and 13 (72%) of 18 within-reservoir receivers early and at the end of the study, respectively. At the end of the study, 73% of all tagged fish were detected moving between receivers. Creating statistical benchmarks for individual metrics can provide useful reference points. In addition, combining multiple metrics can inform ecology and research design. Consequently, individual researchers and the field of telemetry research can benefit from widespread, detailed, and standard reporting of post-tagging detection metrics.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9484-z","usgsCitation":"Gerber, K.M., Mather, M.E., and Smith, J.M., 2017, A suite of standard post-tagging evaluation metrics can help assess tag retention for field-based fish telemetry research: Reviews in Fish Biology and Fisheries, v. 27, no. 3, p. 651-664, https://doi.org/10.1007/s11160-017-9484-z.","productDescription":"14 p.","startPage":"651","endPage":"664","ipdsId":"IP-073195","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-12","publicationStatus":"PW","scienceBaseUri":"5a0425b4e4b0dc0b45b4532b","contributors":{"authors":[{"text":"Gerber, Kayla M.","contributorId":200178,"corporation":false,"usgs":false,"family":"Gerber","given":"Kayla","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","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":716757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":721309,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192176,"text":"70192176 - 2017 - Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility","interactions":[],"lastModifiedDate":"2017-11-06T12:52:24","indexId":"70192176","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility","docAbstract":"Conventional characterization and monitoring of hydrocarbon (HC) pollution is often expensive and time-consuming. Magnetic susceptibility (MS) has been proposed as an inexpensive, long-term monitoring proxy of the degradation of HC. We acquired repeated down hole MS logging data in boreholes at a HC-contaminated field research site in Bemidji, MN, USA. The MS data were analyzed in conjunction with redox conditions and iron availability within the source zone to better assess whether MS can serve as a proxy for monitoring HC contamination in unconsolidated sediments. The MS response at the site diminished during the sampling period, which was found to coincide with depletion of solid phase iron in the source zone. Previous geochemical observations and modeling at the site suggest that the most likely cause of the decrease in MS is the transformation of magnetite to siderite, coupled with the exhaustion of ferrihydrite. Although the temporal MS response at this site gives valuable field-scale evidence for changing conditions of iron cycling and stability of iron minerals it does not provide a simple proxy for long-term monitoring of biodegradation of hydrocarbons in the smear zone.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b02155","usgsCitation":"Lund, A.L., Slater, L.D., Atekwana, E.A., Ntarlagiannis, D., Cozzarelli, I.M., and Bekins, B.A., 2017, Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility: Environmental Science & Technology, v. 51, no. 19, p. 11244-11249, https://doi.org/10.1021/acs.est.7b02155.","productDescription":"6 p.","startPage":"11244","endPage":"11249","ipdsId":"IP-089117","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":438229,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J67FTF","text":"USGS data release","linkHelpText":"Partial release of iron, alkalinity, and oxygen data from Bemidji crude oil site, Minnesota 1993-2016"},{"id":348272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","volume":"51","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb83","contributors":{"authors":[{"text":"Lund, Anders L.","contributorId":197902,"corporation":false,"usgs":false,"family":"Lund","given":"Anders","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee D.","contributorId":197903,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atekwana, Estella A.","contributorId":197904,"corporation":false,"usgs":false,"family":"Atekwana","given":"Estella","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ntarlagiannis, Dimitrios","contributorId":150729,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":714556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":714557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714552,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192611,"text":"70192611 - 2017 - Novel observations of larval fire survival, feeding behavior, and host plant use in the regal fritillary, Speyeria idalia (Drury) (Nymphalidae)","interactions":[],"lastModifiedDate":"2017-11-10T11:28:55","indexId":"70192611","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2557,"text":"Journal of the Lepidopterists' Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Novel observations of larval fire survival, feeding behavior, and host plant use in the regal fritillary, Speyeria idalia (Drury) (Nymphalidae)","title":"Novel observations of larval fire survival, feeding behavior, and host plant use in the regal fritillary, Speyeria idalia (Drury) (Nymphalidae)","docAbstract":"Speyeria idalia is a prairie specialist that has experienced dramatic population declines throughout its range. Speyeria idalia is nearly extirpated from the eastern portion of its former range; however, populations within Kansas are relatively stable. We made several previously undescribed field observations of late-instar larvae and post-diapause female S. idalia in northeastern Kansas during 2014–2016. We report finding late-instar larvae at locations that were burned within weeks of detection. The observations of larvae shortly following a burn suggests that S. idalia larvae are capable of surviving fire and contradicts our current knowledge of this species. Additionally, we describe a feeding behavior characteristic of late-instar larvae. Larvae observed in the field and lab stripped leaves of host plants leaving only stems. This strip-style feeding behavior provided unique feeding evidence that was valuable to detecting the presence of larvae in the field. Finally, we documented larvae and post-diapause, egg depositing females using Viola sororia. The use of this relatively widespread and common plant by S. idalia populations in the Central Great Plains has only been implicitly documented but may have important conservation implications. These novel observations further our knowledge of the ecology of this imperiled species and provide timely information that may improve research and conservation management efforts directed toward S. idalia populations.
","language":"English","publisher":"The Lepidopterists’ Society","doi":"10.18473/lepi.71i3.a4","usgsCitation":"McCullough, K., Albanese, G., and Haukos, D.A., 2017, Novel observations of larval fire survival, feeding behavior, and host plant use in the regal fritillary, Speyeria idalia (Drury) (Nymphalidae): Journal of the Lepidopterists' Society, v. 71, no. 3, p. 146-152, https://doi.org/10.18473/lepi.71i3.a4.","productDescription":"7 p.","startPage":"146","endPage":"152","ipdsId":"IP-083286","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c9e4b09af898c860ff","contributors":{"authors":[{"text":"McCullough, Kelsey","contributorId":200244,"corporation":false,"usgs":false,"family":"McCullough","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":721588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albanese, Gene","contributorId":200245,"corporation":false,"usgs":false,"family":"Albanese","given":"Gene","email":"","affiliations":[],"preferred":false,"id":721589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":716546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194219,"text":"70194219 - 2017 - The planetary data system","interactions":[],"lastModifiedDate":"2018-01-19T16:20:21","indexId":"70194219","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5586,"text":"Lunar and Planetary Information Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The planetary data system","docAbstract":"In the early 1980s, the Space Science Board (SSB) of the National Research Council was concerned about the poor and inconsistent treatment of scientific information returned from NASA’s space science missions. The SSB formed a panel [The Committee on Data Management and Computation (CODMAC)] to assess the situation and make recommendations to NASA for improvements. The CODMAC panel issued a report [1,2] that led to a number of actions, one of which was the convening of a Planetary Data Workshop in November 1983 [3]. The key findings of that workshop were that (1) important datasets were being irretrievably lost, and (2) the use of planetary data by the wider community is constrained by inaccessibility and a lack of commonality in format and documentation. The report further stated, “Most participants felt the present system (of data archiving and access) is inadequate and immediate changes are necessary to insure retention of and access to these and future datasets.”
","language":"English","publisher":"Lunar and Planetary Institute","usgsCitation":"Acton, C., Slavney, S., Arvidson, R.E., Gaddis, L.R., Gordon, M., and Lavoie, S., 2017, The planetary data system: Lunar and Planetary Information Bulletin, no. 150, p. 2-11.","productDescription":"10 p.","startPage":"2","endPage":"11","ipdsId":"IP-092524","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349087,"type":{"id":15,"text":"Index Page"},"url":"https://www.lpi.usra.edu/publications/newsletters/lpib/lpib150.pdf"}],"issue":"150","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa8","contributors":{"authors":[{"text":"Acton, Charles","contributorId":200589,"corporation":false,"usgs":false,"family":"Acton","given":"Charles","affiliations":[],"preferred":false,"id":722743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slavney, Susan","contributorId":200590,"corporation":false,"usgs":false,"family":"Slavney","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":722742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Mitchell","contributorId":200591,"corporation":false,"usgs":false,"family":"Gordon","given":"Mitchell","affiliations":[],"preferred":false,"id":722746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lavoie, Susan","contributorId":200592,"corporation":false,"usgs":false,"family":"Lavoie","given":"Susan","email":"","affiliations":[],"preferred":false,"id":722747,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190466,"text":"70190466 - 2017 - Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","interactions":[],"lastModifiedDate":"2023-06-23T14:39:28.289099","indexId":"70190466","displayToPublicDate":"2017-09-01T00:00:00","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":"Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","title":"Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","docAbstract":"Monkeypox (MPX) is a zoonotic disease endemic in Central and West Africa and is caused by Monkeypox virus (MPXV), the most virulent Orthopoxvirus affecting humans since the eradication of Variola virus (VARV). Many aspects of the MPXV transmission cycle, including the natural host of the virus, remain unknown. African rope squirrels (Funisciurus spp.) are considered potential reservoirs of MPXV, as serosurveillance data in Central Africa has confirmed the circulation of the virus in these rodent species. In order to understand the tissue tropism and clinical signs associated with infection with MPXV in these species, wild-caught rope squirrels were experimentally infected via intranasal and intradermal exposure with a recombinant MPXV strain from Central Africa engineered to express the luciferase gene. After infection, we monitored viral replication and shedding via in vivo bioluminescent imaging, viral culture and real time PCR. MPXV infection in African rope squirrels caused mortality and moderate to severe morbidity, with clinical signs including pox lesions in the skin, eyes, mouth and nose, dyspnea, and profuse nasal discharge. Both intranasal and intradermal exposures induced high levels of viremia, fast systemic spread, and long periods of viral shedding. Shedding and luminescence peaked at day 6 post infection and was still detectable after 15 days. Interestingly, one sentinel animal, housed in the same room but in a separate cage, also developed severe MPX disease and was euthanized. This study indicates that MPXV causes significant pathology in African rope squirrels and infected rope squirrels shed large quantities of virus, supporting their role as a potential source of MPXV transmission to humans and other animals in endemic MPX regions.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pntd.0005809","usgsCitation":"Falendysz, E., Lopera, J.G., Doty, J.B., Nakazawa, Y.J., Crill, C., Lorenzsonn, F., Kalemba, L.N., Ronderos, M., Meija, A., Malekani, J.M., Karem, K.L., Caroll, D., Osorio, J.E., and Rocke, T.E., 2017, Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.): PLoS Neglected Tropical Diseases, v. 11, no. 8, p. 1-23, https://doi.org/10.1371/journal.pntd.0005809.","productDescription":"e0005809; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-087668","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469557,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0005809","text":"Publisher Index Page"},{"id":345421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418364,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GH9GGM","text":"USGS data release","description":"USGS data release","linkHelpText":"Monkeypox challenge of rope squirrels: data"}],"country":"Republic of the Congo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 17.839769957792612,\n 0.23815024003401675\n ],\n [\n 17.98214158904591,\n 0.3734013322288092\n ],\n [\n 17.96078584435807,\n 0.5300052110361122\n ],\n [\n 17.90383719185695,\n 0.5869511558829004\n ],\n [\n 17.88960002873148,\n 0.672368968413636\n ],\n [\n 17.90383719185695,\n 0.779139110310922\n ],\n [\n 17.84688853935495,\n 0.9428479447649067\n ],\n [\n 17.87536286560595,\n 1.0496105122473267\n ],\n [\n 17.967904425920352,\n 1.1563694350895162\n ],\n [\n 17.96078584435807,\n 1.2702411847889437\n ],\n [\n 18.08180173092353,\n 1.5406656537525976\n ],\n [\n 18.110276057175582,\n 1.6839299605829865\n ],\n [\n 18.08180173092461,\n 1.8333497172695985\n ],\n [\n 18.10315747561239,\n 1.9685283020576492\n ],\n [\n 18.08180173092461,\n 2.0610126428322104\n ],\n [\n 18.11739463873792,\n 2.1463780409998634\n ],\n [\n 18.11739463873792,\n 2.2388518375056634\n ],\n [\n 18.238410525303323,\n 2.3739952858606728\n ],\n [\n 18.26688485155435,\n 2.5162372576759537\n ],\n [\n 18.352307830306444,\n 2.587352479572232\n ],\n [\n 18.373663574994254,\n 2.637130768264271\n ],\n [\n 18.437730809058593,\n 2.7722331176362474\n ],\n [\n 18.45908655374643,\n 2.900210601402918\n ],\n [\n 18.544509532498523,\n 3.0352822234061847\n ],\n [\n 18.622813929688334,\n 3.113473915189431\n ],\n [\n 18.651288255938482,\n 3.220089567760681\n ],\n [\n 18.6441696743762,\n 3.4901317642727747\n ],\n [\n 18.515463269448873,\n 3.6794284125723493\n ],\n [\n 18.396577013508306,\n 3.637055552273509\n ],\n [\n 18.277690757567825,\n 3.6285807404370587\n ],\n [\n 18.2182476295975,\n 3.5268768506628874\n ],\n [\n 18.158804501627202,\n 3.586205492534873\n ],\n [\n 17.98047511771736,\n 3.594680699996772\n ],\n [\n 17.878572612625618,\n 3.586205492534873\n ],\n [\n 17.844605110928,\n 3.670954000978085\n ],\n [\n 17.666275727017165,\n 3.654004936723169\n ],\n [\n 17.48794634310633,\n 3.7387470265244502\n ],\n [\n 17.377551962590672,\n 3.6455302844297393\n ],\n [\n 17.25017383122622,\n 3.654004936723169\n ],\n [\n 17.207714454104774,\n 3.586205492534873\n ],\n [\n 17.037876945617825,\n 3.5607793994642236\n ],\n [\n 16.885023187980693,\n 3.6031558287018868\n ],\n [\n 16.834071935434253,\n 3.5607793994642236\n ],\n [\n 16.528364420158965,\n 3.518401019806703\n ],\n [\n 16.562331921856554,\n 3.3997313771382807\n ],\n [\n 16.460429416764782,\n 3.1284324606643565\n ],\n [\n 16.443445665915988,\n 2.975795568581134\n ],\n [\n 16.4943969184624,\n 2.8655446030224994\n ],\n [\n 16.154721901489495,\n 2.237772039236404\n ],\n [\n 16.044327520973866,\n 2.237772039236404\n ],\n [\n 16.03190483359299,\n 2.0171355999889897\n ],\n [\n 16.091347961563258,\n 1.8728569272110747\n ],\n [\n 16.14229921410964,\n 1.6946140271987247\n ],\n [\n 16.057380459866692,\n 1.7285663734094925\n ],\n [\n 15.887542951379686,\n 1.8219321589863284\n ],\n [\n 15.760164820015234,\n 1.9407543090220258\n ],\n [\n 15.547867934407833,\n 1.9831887942304007\n ],\n [\n 15.488424806437536,\n 2.0171355999889897\n ],\n [\n 15.378030425920883,\n 1.9407543090220258\n ],\n [\n 15.27612792082914,\n 2.0595681096528295\n ],\n [\n 15.097798536919328,\n 2.0425952400934904\n ],\n [\n 14.995896031827556,\n 2.076540798401595\n ],\n [\n 14.868517900462024,\n 2.14442971554179\n ],\n [\n 14.800582897067898,\n 2.1019994892505593\n ],\n [\n 14.673204765703446,\n 2.161401477927484\n ],\n [\n 14.596777886884354,\n 2.2462574141061253\n ],\n [\n 14.443924129246227,\n 2.1868587652904523\n ],\n [\n 14.316545997881718,\n 2.203830050551943\n ],\n [\n 13.272045320691404,\n 2.203830050551943\n ],\n [\n 13.272045320691404,\n 2.0595681096528295\n ],\n [\n 13.187126566448455,\n 2.0086489644940855\n ],\n [\n 13.127683438478186,\n 1.9068059529573276\n ],\n [\n 13.170142815599661,\n 1.8219321589863284\n ],\n [\n 13.110699687629392,\n 1.7200783433134177\n ],\n [\n 13.085224061356712,\n 1.5333324571841729\n ],\n [\n 13.204110317297278,\n 1.456931603915379\n ],\n [\n 13.22109406814505,\n 1.3295911573235344\n ],\n [\n 13.136175313902072,\n 1.2277140401198352\n ],\n [\n 13.306012822389022,\n 1.1597937852806126\n ],\n [\n 13.399423452055913,\n 1.2616735264531371\n ],\n [\n 13.509817832572566,\n 1.2277140401198352\n ],\n [\n 13.662671590209698,\n 1.304122259594621\n ],\n [\n 13.815525347847853,\n 1.321101553695243\n ],\n [\n 13.841000974120533,\n 1.4059962538064639\n ],\n [\n 13.98536285633375,\n 1.3890175548035302\n ],\n [\n 14.087265361425551,\n 1.321101553695243\n ],\n [\n 14.155200364819706,\n 1.346570276806716\n ],\n [\n 14.25710286991142,\n 1.295632569495865\n ],\n [\n 14.25710286991142,\n 1.2022441416341394\n ],\n [\n 14.401464752124724,\n 1.023948480833269\n ],\n [\n 14.443924129246227,\n 0.854133844146233\n ],\n [\n 14.333858274600203,\n 0.7164905152913121\n ],\n [\n 14.342350150024117,\n 0.6485603359194556\n ],\n [\n 14.257431395781083,\n 0.5721377991068124\n ],\n [\n 14.104577638142956,\n 0.563646340806244\n ],\n [\n 14.045134510173682,\n 0.43627308506096085\n ],\n [\n 13.917756378808178,\n 0.3598480563614572\n ],\n [\n 13.875297001686732,\n 0.24096345582321987\n ],\n [\n 13.90926450338435,\n 0.07961850746528398\n ],\n [\n 13.93474012965703,\n -0.022283971440714367\n ],\n [\n 13.985691382203413,\n -0.07323520460715827\n ],\n [\n 13.883788877111613,\n -0.1411700851088682\n ],\n [\n 13.93474012965703,\n -0.27703915521544786\n ],\n [\n 14.087593887295213,\n -0.27703915521544786\n ],\n [\n 14.147037015265454,\n -0.38743166272173823\n ],\n [\n 14.164020766113225,\n -0.4893311716675015\n ],\n [\n 14.2913988974787,\n -0.4808396005935407\n ],\n [\n 14.401793277994358,\n -0.4978227319930397\n ],\n [\n 14.486712032237335,\n -0.608211953270029\n ],\n [\n 14.427268904267038,\n -0.7270901164508814\n ],\n [\n 14.44425265511586,\n -0.845965149526009\n ],\n [\n 14.401793277994358,\n -0.9563458588912539\n ],\n [\n 14.384809527145535,\n -1.0497421645768554\n ],\n [\n 14.435760779691975,\n -1.1176650125891285\n ],\n [\n 14.46972828138854,\n -1.2619957300023827\n ],\n [\n 14.418777028843152,\n -1.329913352233575\n ],\n [\n 14.478220156813421,\n -1.4232970116118793\n ],\n [\n 14.45274453054077,\n -1.5506322227397646\n ],\n [\n 14.350842025448998,\n -1.6270297127356912\n ],\n [\n 14.418777028843152,\n -1.7119124133407695\n ],\n [\n 14.401793277994358,\n -1.7883036358939677\n ],\n [\n 14.393301402570472,\n -1.8731790367246361\n ],\n [\n 14.231955769508431,\n -1.9580503257612634\n ],\n [\n 14.231955769508431,\n -2.042917316987783\n ],\n [\n 14.189496392386957,\n -2.178695099345603\n ],\n [\n 14.130053264416688,\n -2.246579448131584\n ],\n [\n 14.214972018659637,\n -2.339915256549105\n ],\n [\n 14.147037015265454,\n -2.3908230948150475\n ],\n [\n 14.087593887295213,\n -2.4671812988191846\n ],\n [\n 14.011167008476122,\n -2.450213183173929\n ],\n [\n 13.917756378808178,\n -2.4671812988191846\n ],\n [\n 13.960215755929681,\n -2.339915256549105\n ],\n [\n 13.781886372019898,\n -2.068376548478966\n ],\n [\n 13.696967617775897,\n -2.178695099345603\n ],\n [\n 13.586573237260211,\n -2.322945564403426\n ],\n [\n 13.493162607592325,\n -2.3908230948150475\n ],\n [\n 13.382768227076696,\n -2.4162763082842815\n ],\n [\n 13.20443884316586,\n -2.3144606417814373\n ],\n [\n 13.136503839771763,\n -2.3144606417814373\n ],\n [\n 12.96666633128575,\n -2.170209338639907\n ],\n [\n 12.949682580436985,\n -2.059890183129994\n ],\n [\n 12.873255701617921,\n -1.8731790367246361\n ],\n [\n 12.771353196526121,\n -1.8731790367246361\n ],\n [\n 12.626991314312846,\n -1.7628402416590916\n ],\n [\n 12.499613182948394,\n -1.8392293593887672\n ],\n [\n 12.423186304129331,\n -1.8392293593887672\n ],\n [\n 12.423186304129331,\n -1.9665372213538888\n ],\n [\n 12.406202553280565,\n -2.042917316987783\n ],\n [\n 12.45715380582692,\n -2.110807690573793\n ],\n [\n 12.45715380582692,\n -2.221123181969361\n ],\n [\n 12.423186304129331,\n -2.3144606417814373\n ],\n [\n 12.491121307523514,\n -2.3908230948150475\n ],\n [\n 12.083511287156426,\n -2.3993075520099865\n ],\n [\n 11.981608782064683,\n -2.3059756683729518\n ],\n [\n 11.811771273578756,\n -2.365369409232045\n ],\n [\n 11.743836270184602,\n -2.4162763082842815\n ],\n [\n 11.650425640516687,\n -2.3144606417814373\n ],\n [\n 11.557015010848858,\n -2.3144606417814373\n ],\n [\n 11.58249063712259,\n -2.4174013354875967\n ],\n [\n 11.573998761697652,\n -2.5276929224977067\n ],\n [\n 11.624950014244007,\n -2.6210092696336886\n ],\n [\n 11.514555633727355,\n -2.8669911016737615\n ],\n [\n 11.590982512546418,\n -2.9093965442654195\n ],\n [\n 11.616458138819127,\n -2.8415470801619023\n ],\n [\n 11.760820021032345,\n -2.994202621314642\n ],\n [\n 11.709868768487013,\n -3.0620427648596262\n ],\n [\n 11.845738775276374,\n -3.231624118673267\n ],\n [\n 11.956133155792031,\n -3.27401508764531\n ],\n [\n 11.930657529519323,\n -3.4435607917204436\n ],\n [\n 11.85423065070026,\n -3.4944186842778606\n ],\n [\n 11.837246899851465,\n -3.562224912863016\n ],\n [\n 11.896690027821705,\n -3.680873736562944\n ],\n [\n 11.777803771881139,\n -3.672399338703613\n ],\n [\n 11.573998761697652,\n -3.3842231530591533\n ],\n [\n 11.472096256605852,\n -3.3927001825618106\n ],\n [\n 11.429636879484406,\n -3.562224912863016\n ],\n [\n 11.361701876090223,\n -3.562224912863016\n ],\n [\n 11.183372492179387,\n -3.7147705198179466\n ],\n [\n 11.174880616755502,\n -3.833398930798566\n ],\n [\n 11.132421239633999,\n -3.9774255447307354\n ],\n [\n 11.319243873813662,\n -4.148492038729302\n ],\n [\n 11.353211375511279,\n -4.241652389692618\n ],\n [\n 11.760821395878338,\n -4.580320798135432\n ],\n [\n 11.811772648423727,\n -4.8511406762227836\n ],\n [\n 11.998593907759528,\n -5.071102139135377\n ],\n [\n 12.193907042518163,\n -4.9103682566547775\n ],\n [\n 12.219382668790757,\n -4.817294007323611\n ],\n [\n 12.372236426428941,\n -4.817294007323611\n ],\n [\n 12.40620392812653,\n -4.732669988238499\n ],\n [\n 12.440171429823152,\n -4.639571621427493\n ],\n [\n 12.643976440006668,\n -4.580320798135432\n ],\n [\n 12.711911443401846,\n -4.537995772255314\n ],\n [\n 12.813813948493618,\n -4.504133963629457\n ],\n [\n 12.762862695947234,\n -4.427939147941032\n ],\n [\n 13.043094584949841,\n -4.681890597621106\n ],\n [\n 13.128013339192819,\n -4.664963313022724\n ],\n [\n 13.229915844284534,\n -4.774983302842003\n ],\n [\n 13.32332647395242,\n -4.834217553148434\n ],\n [\n 13.450704605316872,\n -4.927291629742712\n ],\n [\n 13.556235927174086,\n -4.869887872706251\n ],\n [\n 13.676936591496847,\n -4.790439377470928\n ],\n [\n 13.78823817620464,\n -4.725553102682403\n ],\n [\n 13.77595396516333,\n -4.616895233164821\n ],\n [\n 13.78679561049147,\n -4.495094493963583\n ],\n [\n 13.979037692490289,\n -4.5612767694413945\n ],\n [\n 14.032699356368195,\n -4.475771004013824\n ],\n [\n 14.1869083196716,\n -4.458515666550469\n ],\n [\n 14.35742343099119,\n -4.348283651966113\n ],\n [\n 14.417205360378276,\n -4.445683536302177\n ],\n [\n 14.328210069131252,\n -4.5450939570506215\n ],\n [\n 14.360139302325809,\n -4.71311805090601\n ],\n [\n 14.3676120434992,\n -4.940757521657292\n ],\n [\n 14.515710296299172,\n -4.893510950099726\n ],\n [\n 14.683170052367018,\n -5.022213887560441\n ],\n [\n 14.911261812613162,\n -4.824127949022461\n ],\n [\n 14.940388938493285,\n -4.716870023368994\n ],\n [\n 15.20121688873936,\n -4.468746106785998\n ],\n [\n 15.246712109619448,\n -4.378857052266603\n ],\n [\n 15.558183484484992,\n -4.283126144347161\n ],\n [\n 15.578049165129368,\n -4.116787023259311\n ],\n [\n 15.732343887664804,\n -4.042286470261135\n ],\n [\n 15.987820632843384,\n -3.979703863468751\n ],\n [\n 16.073099628311198,\n -3.6603393205272043\n ],\n [\n 16.26859288368221,\n -3.297481287722706\n ],\n [\n 16.2474532554282,\n -3.243483569398351\n ],\n [\n 16.262359067573875,\n -2.9790810413322792\n ],\n [\n 16.235844471949154,\n -2.914836093718286\n ],\n [\n 16.265046551258237,\n -2.57738677505937\n ],\n [\n 16.220204462942483,\n -2.3154494668342966\n ],\n [\n 16.291194048452436,\n -2.159114593425344\n ],\n [\n 16.454066972571923,\n -2.047030226396004\n ],\n [\n 16.484552182085338,\n -1.982531304245889\n ],\n [\n 16.627172918207464,\n -1.8824136611621363\n ],\n [\n 16.63904015829823,\n -1.739011512974523\n ],\n [\n 16.746876283435412,\n -1.5400069951313613\n ],\n [\n 16.860237473974273,\n -1.3131860657845267\n ],\n [\n 17.103739328578424,\n -1.131879810236579\n ],\n [\n 17.420803390640103,\n -0.9987858939875571\n ],\n [\n 17.553859795397237,\n -0.7963953845209975\n ],\n [\n 17.798717381686725,\n -0.576328849426257\n ],\n [\n 17.79376804346702,\n -0.3643996271511349\n ],\n [\n 17.740342121811803,\n -0.25843664804441857\n ],\n [\n 17.756088538105644,\n -0.17148846093169595\n ],\n [\n 17.839769957792612,\n 0.23815024003401675\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"59aa71d9e4b0e9bde130cfec","contributors":{"authors":[{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127751,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":709303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopera, Juan G.","contributorId":7574,"corporation":false,"usgs":false,"family":"Lopera","given":"Juan","email":"","middleInitial":"G.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":709304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doty, Jeffrey B.","contributorId":196071,"corporation":false,"usgs":false,"family":"Doty","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nakazawa, Yoshinori J.","contributorId":150106,"corporation":false,"usgs":false,"family":"Nakazawa","given":"Yoshinori","email":"","middleInitial":"J.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":709306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crill, Colleen","contributorId":196072,"corporation":false,"usgs":false,"family":"Crill","given":"Colleen","email":"","affiliations":[],"preferred":false,"id":709307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorenzsonn, Faye","contributorId":196073,"corporation":false,"usgs":false,"family":"Lorenzsonn","given":"Faye","email":"","affiliations":[],"preferred":false,"id":709308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kalemba, Lem’s N.","contributorId":196074,"corporation":false,"usgs":false,"family":"Kalemba","given":"Lem’s","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":709309,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ronderos, Monica","contributorId":196075,"corporation":false,"usgs":false,"family":"Ronderos","given":"Monica","email":"","affiliations":[],"preferred":false,"id":709310,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meija, Andres","contributorId":196076,"corporation":false,"usgs":false,"family":"Meija","given":"Andres","email":"","affiliations":[],"preferred":false,"id":709311,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Malekani, Jean M.","contributorId":196077,"corporation":false,"usgs":false,"family":"Malekani","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":709312,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":709313,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Caroll, Darrin","contributorId":196108,"corporation":false,"usgs":false,"family":"Caroll","given":"Darrin","email":"","affiliations":[],"preferred":false,"id":709315,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"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":709316,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":709314,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70193558,"text":"70193558 - 2017 - Book review: Serendipity: An ecologist’s quest to understand nature","interactions":[],"lastModifiedDate":"2017-12-04T10:17:17","indexId":"70193558","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Serendipity: An ecologist’s quest to understand nature","docAbstract":"A common thought among graduate students is: “how do established scientists get where they are today?” In Serendipity: An Ecologist’s Quest to Understand Nature, James Estes offers a personal reflection on research experiences spanning his 50-year career, beginning as a Ph.D. student in 1970 and concluding with recognition as a member of the National Academy of Sciences in 2014. Estes chronologically outlines the foundational trophic cascade ecology research that he and colleagues conducted in the Aleutian Islands, examining key relationships among kelp forests, sea otters, sea urchins, and killer whales through anecdotal stories of achievement and challenge. Estes’ 3 main goals in writing this book are to: (1) recount what he had learned from 50 years of research;...
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyx108","usgsCitation":"Ball, E.E., Adams, D.M., Dupuie, J.N., Jones, M.M., McGovern, P.G., Ruden, R.M., Schmidt, S., Vaziri, G.J., Eeling, J.S., Kirk, B.D., McCombs, A.L., Rabinowitz, A.B., Thompson, K.M., Hudson, Z.J., and Klaver, R.W., 2017, Book review: Serendipity: An ecologist’s quest to understand nature: Journal of Mammalogy, v. 98, no. 5, p. 1509-1510, https://doi.org/10.1093/jmammal/gyx108.","productDescription":"2 p.","startPage":"1509","endPage":"1510","ipdsId":"IP-087773","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx108","text":"Publisher Index Page"},{"id":349617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb9","contributors":{"authors":[{"text":"Ball, E. E.","contributorId":201067,"corporation":false,"usgs":false,"family":"Ball","given":"E.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, D. M.","contributorId":201068,"corporation":false,"usgs":false,"family":"Adams","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dupuie, J. N. Jr.","contributorId":201069,"corporation":false,"usgs":false,"family":"Dupuie","given":"J.","suffix":"Jr.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":724252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, M. M.","contributorId":201070,"corporation":false,"usgs":false,"family":"Jones","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGovern, P. G.","contributorId":201072,"corporation":false,"usgs":false,"family":"McGovern","given":"P.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":724254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruden, R. M.","contributorId":201073,"corporation":false,"usgs":false,"family":"Ruden","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, S.R.","contributorId":73719,"corporation":false,"usgs":true,"family":"Schmidt","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":724256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vaziri, G. J.","contributorId":201074,"corporation":false,"usgs":false,"family":"Vaziri","given":"G.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eeling, J. S.","contributorId":201075,"corporation":false,"usgs":false,"family":"Eeling","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724258,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirk, B. D.","contributorId":201076,"corporation":false,"usgs":false,"family":"Kirk","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724259,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McCombs, A. L.","contributorId":172523,"corporation":false,"usgs":false,"family":"McCombs","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724260,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rabinowitz, A. B.","contributorId":201077,"corporation":false,"usgs":false,"family":"Rabinowitz","given":"A.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724261,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thompson, K. M.","contributorId":201078,"corporation":false,"usgs":false,"family":"Thompson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724262,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hudson, Z. J.","contributorId":201079,"corporation":false,"usgs":false,"family":"Hudson","given":"Z.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724263,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":724264,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70193530,"text":"70193530 - 2017 - Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population","interactions":[],"lastModifiedDate":"2017-11-14T14:04:38","indexId":"70193530","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population","docAbstract":"The evolutionary effects of harvest on wild fish populations have been documented around the world; however, sublethal selective pressures can also cause evolutionary changes in phenotypes. For migratory fishes, passage facilities may represent instances of nonlethal selective pressure. Our analysis of 6 years of passage data suggests that certain fish passage facilities on the Penobscot River have been exerting selective pressure against large-bodied, anadromous Atlantic salmon (Salmo salar). At the second and third dams in the river, a 91-cm salmon was 21%–27% and 12%–16% less likely to pass than a 45-cm salmon, respectively. Fish size positively influences egg survival and number and is a heritable trait. Therefore, in a wild-reproducing population, exclusion of large fish from spawning areas may have population-level impacts. In the Penobscot River, most returning adults derive from a hatchery program that collects its broodstock after passing the first dam in the river. Analysis of fork lengths of salmon returning to the Penobscot River from 1978 to 2012 provided mixed support for evolution of size at maturity in different age classes in a pattern that may be expected from interactions with conservation hatchery operations. Additionally, slow-maturing and iteroparous individuals that represent the largest salmon size classes were essentially lost from the population during that time, and Penobscot River fish have shorter fork lengths at maturity than Atlantic salmon in undammed systems.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3155","usgsCitation":"Maynard, G.A., Kinnison, M., and Zydlewski, J.D., 2017, Size selection from fishways and potential evolutionary responses in a threatened Atlantic salmon population: River Research and Applications, v. 33, no. 7, p. 1004-1015, https://doi.org/10.1002/rra.3155.","productDescription":"12 p.","startPage":"1004","endPage":"1015","ipdsId":"IP-072943","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.3292236328125,\n 44.77013681219717\n ],\n [\n -68.3184814453125,\n 44.77013681219717\n ],\n [\n -68.3184814453125,\n 45.596743928454124\n ],\n [\n -69.3292236328125,\n 45.596743928454124\n ],\n [\n -69.3292236328125,\n 44.77013681219717\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc2","contributors":{"authors":[{"text":"Maynard, George A.","contributorId":189242,"corporation":false,"usgs":false,"family":"Maynard","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinnison, M.T.","contributorId":85410,"corporation":false,"usgs":true,"family":"Kinnison","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":722050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":719277,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192633,"text":"70192633 - 2017 - Imputation approaches for animal movement modeling","interactions":[],"lastModifiedDate":"2017-11-10T10:51:06","indexId":"70192633","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Imputation approaches for animal movement modeling","docAbstract":"The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to properly account for inherent uncertainties (e.g., measurement error, dependence, barriers to movement) have lagged behind. Still, many new statistical approaches have been developed to infer unknown quantities affecting animal movement or predict movement based on telemetry data. Hierarchical statistical models are useful to account for some of the aforementioned uncertainties, as well as provide population-level inference, but they often come with an increased computational burden. For certain types of statistical models, it is straightforward to provide inference if the latent true animal trajectory is known, but challenging otherwise. In these cases, approaches related to multiple imputation have been employed to account for the uncertainty associated with our knowledge of the latent trajectory. Despite the increasing use of imputation approaches for modeling animal movement, the general sensitivity and accuracy of these methods have not been explored in detail. We provide an introduction to animal movement modeling and describe how imputation approaches may be helpful for certain types of models. We also assess the performance of imputation approaches in two simulation studies. Our simulation studies suggests that inference for model parameters directly related to the location of an individual may be more accurate than inference for parameters associated with higher-order processes such as velocity or acceleration. Finally, we apply these methods to analyze a telemetry data set involving northern fur seals (Callorhinus ursinus) in the Bering Sea. Supplementary materials accompanying this paper appear online.
","language":"English","publisher":"Springer","doi":"10.1007/s13253-017-0294-5","usgsCitation":"Scharf, H., Hooten, M., and Johnson, D., 2017, Imputation approaches for animal movement modeling: Journal of Agricultural, Biological, and Environmental Statistics, v. 22, no. 3, p. 335-352, https://doi.org/10.1007/s13253-017-0294-5.","productDescription":"18 p.","startPage":"335","endPage":"352","ipdsId":"IP-083743","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469562,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1705.10310","text":"External Repository"},{"id":348558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860fb","contributors":{"authors":[{"text":"Scharf, Henry","contributorId":200238,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","affiliations":[],"preferred":false,"id":721545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":716605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":721546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197053,"text":"70197053 - 2017 - Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","interactions":[],"lastModifiedDate":"2018-05-15T15:37:18","indexId":"70197053","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","docAbstract":"Crayfish are ecologically important in freshwater systems worldwide and are imperiled in North America and globally. We sought to examine landscape- to local-scale environmental variables related to occupancy and detection probability of a suite of stream-dwelling crayfish species. We used a quantitative kickseine method to sample crayfish presence at 102 perennial stream sites with eight surveys per site. We modeled occupancy (psi) and detection probability (P) and local- and landscape-scale environmental covariates. We developed a set of a priori candidate models for each species and ranked models using (Q)AICc. Detection probabilities and occupancy estimates differed among crayfish species with Orconectes eupunctus, O. marchandi, and Cambarus hubbsi being relatively rare (psi < 0.20) with moderate (0.46–0.60) to high (0.81) detection probability and O. punctimanus and O. ozarkae being relatively common (psi > 0.60) with high detection probability (0.81). Detection probability was often related to local habitat variables current velocity, depth, or substrate size. Important environmental variables for crayfish occupancy were species dependent but were mainly landscape variables such as stream order, geology, slope, topography, and land use. Landscape variables strongly influenced crayfish occupancy and should be considered in future studies and conservation plans.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3215-2","usgsCitation":"Magoulick, D.D., DiStefano, R.J., Imhoff, E.M., Nolen, M.S., and Wagner, B.K., 2017, Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation: Hydrobiologia, v. 799, no. 1, p. 217-231, https://doi.org/10.1007/s10750-017-3215-2.","productDescription":"15 p.","startPage":"217","endPage":"231","ipdsId":"IP-080483","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Black River","volume":"799","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c6","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","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":735379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, Robert J.","contributorId":204893,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imhoff, Emily M.","contributorId":204894,"corporation":false,"usgs":false,"family":"Imhoff","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolen, Matthew S.","contributorId":204895,"corporation":false,"usgs":false,"family":"Nolen","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":16695,"text":"Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":735382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Brian K.","contributorId":204896,"corporation":false,"usgs":false,"family":"Wagner","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":735383,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197044,"text":"70197044 - 2017 - Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities","interactions":[],"lastModifiedDate":"2018-05-15T16:15:25","indexId":"70197044","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5687,"text":"Arboricultural Journal","active":true,"publicationSubtype":{"id":10}},"title":"Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities","docAbstract":"In the New England states, tree wardens are local officials responsible for the preservation, maintenance and stewardship of municipal public trees. This study explores the emerging professional challenges, duties and responsibilities of tree wardens, from the subject’s point of view, by conducting in-person, semi-structured qualitative research interviews with 50 tree wardens throughout Massachusetts. Many of the findings corroborate previous literature, including that tree wardens are typically housed in a municipal department (often public works or highway), that tree wardens routinely interact with a wide variety of local organisations (representatives from other municipal departments, community volunteer associations) and that as community size increases, tree wardens typically have access to a greater pool of resources to carry out urban forest management. A newer finding is that the subject of urban forest health arose as a topic of great importance for tree wardens, as nearly all interviewees (n = 49) indicated that they monitor for urban forest pests and that they would like further continuing education concerning this subject.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03071375.2017.1369774","usgsCitation":"Harper, R., Bloniarz, D., DeStefano, S., and Nicolson, C., 2017, Urban forest management in New England: Towards a contemporary understanding of tree wardens in Massachusetts communities: Arboricultural Journal, v. 39, no. 3, p. 162-178, https://doi.org/10.1080/03071375.2017.1369774.","productDescription":"17 p.","startPage":"162","endPage":"178","ipdsId":"IP-078318","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-13","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c8","contributors":{"authors":[{"text":"Harper, Richard W.","contributorId":204920,"corporation":false,"usgs":false,"family":"Harper","given":"Richard W.","affiliations":[],"preferred":false,"id":735446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bloniarz, David V.","contributorId":204921,"corporation":false,"usgs":false,"family":"Bloniarz","given":"David V.","affiliations":[],"preferred":false,"id":735447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":735361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicolson, Craig","contributorId":8565,"corporation":false,"usgs":true,"family":"Nicolson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":735448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192235,"text":"70192235 - 2017 - Climate-driven variability in the occurrence of major floods across North America and Europe","interactions":[],"lastModifiedDate":"2017-10-24T12:18:51","indexId":"70192235","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven variability in the occurrence of major floods across North America and Europe","docAbstract":"Concern over the potential impact of anthropogenic climate change on flooding has led to a proliferation of studies examining past flood trends. Many studies have analysed annual-maximum flow trends but few have quantified changes in major (25–100 year return period) floods, i.e. those that have the greatest societal impacts. Existing major-flood studies used a limited number of very large catchments affected to varying degrees by alterations such as reservoirs and urbanisation. In the current study, trends in major-flood occurrence from 1961 to 2010 and from 1931 to 2010 were assessed using a very large dataset (>1200 gauges) of diverse catchments from North America and Europe; only minimally altered catchments were used, to focus on climate-driven changes rather than changes due to catchment alterations. Trend testing of major floods was based on counting the number of exceedances of a given flood threshold within a group of gauges. Evidence for significant trends varied between groups of gauges that were defined by catchment size, location, climate, flood threshold and period of record, indicating that generalizations about flood trends across large domains or a diversity of catchment types are ungrounded. Overall, the number of significant trends in major-flood occurrence across North America and Europe was approximately the number expected due to chance alone. Changes over time in the occurrence of major floods were dominated by multidecadal variability rather than by long-term trends. There were more than three times as many significant relationships between major-flood occurrence and the Atlantic Multidecadal Oscillation than significant long-term trends.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.07.027","usgsCitation":"Hodgkins, G.A., Whitfield, P.H., Burn, D.H., Hannaford, J., Renard, B., Stahl, K., Fleig, A.K., Madsen, H., Mediero, L., Korhonen, J., Murphy, C., and Wilson, D., 2017, Climate-driven variability in the occurrence of major floods across North America and Europe: Journal of Hydrology, v. 552, p. 704-717, https://doi.org/10.1016/j.jhydrol.2017.07.027.","productDescription":"14 p.","startPage":"704","endPage":"717","ipdsId":"IP-060483","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":469546,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.07.027","text":"External Repository"},{"id":347222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347151,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S002216941730478X"}],"otherGeospatial":"Europe, North America","volume":"552","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05121e4b0220bbd9a1d85","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitfield, Paul H.","contributorId":198041,"corporation":false,"usgs":false,"family":"Whitfield","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burn, Donald H.","contributorId":198042,"corporation":false,"usgs":false,"family":"Burn","given":"Donald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hannaford, Jamie","contributorId":198043,"corporation":false,"usgs":false,"family":"Hannaford","given":"Jamie","email":"","affiliations":[],"preferred":false,"id":714913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":714914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stahl, Kerstin","contributorId":198044,"corporation":false,"usgs":false,"family":"Stahl","given":"Kerstin","email":"","affiliations":[],"preferred":false,"id":714915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleig, Anne K.","contributorId":198045,"corporation":false,"usgs":false,"family":"Fleig","given":"Anne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":714916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Madsen, Henrik","contributorId":198046,"corporation":false,"usgs":false,"family":"Madsen","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":714917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mediero, Luis","contributorId":198047,"corporation":false,"usgs":false,"family":"Mediero","given":"Luis","email":"","affiliations":[],"preferred":false,"id":714918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Korhonen, Johanna","contributorId":198048,"corporation":false,"usgs":false,"family":"Korhonen","given":"Johanna","email":"","affiliations":[],"preferred":false,"id":714919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murphy, Conor","contributorId":198049,"corporation":false,"usgs":false,"family":"Murphy","given":"Conor","email":"","affiliations":[],"preferred":false,"id":714920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Donna","contributorId":198051,"corporation":false,"usgs":false,"family":"Wilson","given":"Donna","email":"","affiliations":[],"preferred":false,"id":714922,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70192054,"text":"70192054 - 2017 - Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","interactions":[],"lastModifiedDate":"2017-10-19T16:28:10","indexId":"70192054","displayToPublicDate":"2017-09-01T00:00:00","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":"Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","docAbstract":"Analysis of environmental DNA (eDNA) is an emerging technique used to detect aquatic species through water sampling and the extraction of biological material for amplification. Our study compared the efficacy of eDNA methodology to American Fisheries Society (AFS) standard snorkeling surveys with regard to detecting the presence of rare fish species. Knowing which method is more efficient at detecting target species will help managers to determine the best way to sample when both traditional sampling methods and eDNA sampling are available. Our study site included three Navajo Nation streams that contained Navajo Nation Genetic Subunit Bluehead Suckers Catostomus discobolus and Zuni Bluehead Suckers C. discobolus yarrowi. We first divided the entire wetted area of streams into consecutive 100-m reaches and then systematically selected 10 reaches/stream for snorkel and eDNA surveys. Surface water samples were taken in 10-m sections within each 100-m reach, while fish presence was noted via snorkeling in each 10-m section. Quantitative PCR was run on each individual water sample in quadruplicate to test for the presence or absence of the target species. With eDNA sampling techniques, we were able to positively detect both species in two out of the three streams. Snorkeling resulted in positive detection of both species in all three streams. In streams where the target species were detected with eDNA sampling, snorkeling detected fish at 11–29 sites/stream, whereas eDNA detected fish at 3–12 sites/stream. Our results suggest that AFS standard snorkeling is more effective than eDNA for detecting target fish species. To improve our eDNA procedures, the amount of water collected and tested should be increased. Additionally, filtering water on-site may improve eDNA techniques for detecting fish. Future research should focus on standardization of eDNA sampling to provide a widely operational sampling tool.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1306005","usgsCitation":"Ulibarri, R.M., Bonar, S.A., Rees, C.B., Amberg, J., Ladell, B., and Jackson, C., 2017, Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques: North American Journal of Fisheries Management, v. 37, no. 3, p. 644-651, https://doi.org/10.1080/02755947.2017.1306005.","productDescription":"8 p.","startPage":"644","endPage":"651","ipdsId":"IP-085361","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.55291748046875,\n 35.97467213380802\n ],\n [\n -108.76327514648438,\n 35.97467213380802\n ],\n [\n -108.76327514648438,\n 36.353845104753745\n ],\n [\n -109.55291748046875,\n 36.353845104753745\n ],\n [\n -109.55291748046875,\n 35.97467213380802\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c65","contributors":{"authors":[{"text":"Ulibarri, Roy M.","contributorId":197754,"corporation":false,"usgs":false,"family":"Ulibarri","given":"Roy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B. crees@usgs.gov","contributorId":5500,"corporation":false,"usgs":true,"family":"Rees","given":"Christopher","email":"crees@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":714221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ladell, Bridget","contributorId":197751,"corporation":false,"usgs":false,"family":"Ladell","given":"Bridget","affiliations":[],"preferred":false,"id":714222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Craig 0000-0003-4023-0276 cjackson@usgs.gov","orcid":"https://orcid.org/0000-0003-4023-0276","contributorId":192276,"corporation":false,"usgs":true,"family":"Jackson","given":"Craig","email":"cjackson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192234,"text":"70192234 - 2017 - A framework for modeling connections between hydraulics, water surface roughness, and surface reflectance in open channel flows","interactions":[],"lastModifiedDate":"2017-10-24T12:20:32","indexId":"70192234","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"A framework for modeling connections between hydraulics, water surface roughness, and surface reflectance in open channel flows","docAbstract":"This paper introduces a framework for examining connections between the flow field, the texture of the air-water interface, and the reflectance of the water surface and thus evaluating the potential to infer hydraulic information from remotely sensed observations of surface reflectance. We used a spatial correlation model describing water surface topography to illustrate the application of our framework. Nondimensional relations between model parameters and flow intensity were established based on a prior flume study. Expressing the model in the spatial frequency domain allowed us to use an efficient Fourier transform-based algorithm for simulating water surfaces. Realizations for both flume and field settings had water surface slope distributions positively correlated with velocity and water surface roughness. However, most surface facets were gently sloped and thus unlikely to yield strong specular reflections; the model exaggerated the extent of water surface features, leading to underestimation of facet slopes. A ray tracing algorithm indicated that reflectance was greatest when solar and view zenith angles were equal and the sensor scanned toward the Sun to capture specular reflections of the solar beam. Reflected energy was concentrated in a small portion of the sky, but rougher water surfaces reflected rays into a broader range of directions. Our framework facilitates flight planning to avoid surface-reflected radiance while mapping other river attributes, or to maximize this component to exploit relationships between hydraulics and surface reflectance. This initial analysis also highlighted the need for improved models of water surface topography in natural rivers.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JF004323","usgsCitation":"Legleiter, C.J., Mobley, C.D., and Overstreet, B., 2017, A framework for modeling connections between hydraulics, water surface roughness, and surface reflectance in open channel flows: Journal of Geophysical Research F: Earth Surface, v. 122, no. 9, p. 1715-1741, https://doi.org/10.1002/2017JF004323.","productDescription":"27 p.","startPage":"1715","endPage":"1741","ipdsId":"IP-082511","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":347223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"59f05121e4b0220bbd9a1d88","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":714907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mobley, Curtis D. 0000-0003-0556-3657","orcid":"https://orcid.org/0000-0003-0556-3657","contributorId":198040,"corporation":false,"usgs":false,"family":"Mobley","given":"Curtis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon 0000-0001-7845-6671 boverstreet@usgs.gov","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":169201,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"boverstreet@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714909,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}