{"pageNumber":"1158","pageRowStart":"28925","pageSize":"25","recordCount":184798,"records":[{"id":70160875,"text":"70160875 - 2016 - Predicting recreational water quality advisories: A comparison of statistical methods","interactions":[],"lastModifiedDate":"2016-01-04T13:41:10","indexId":"70160875","displayToPublicDate":"2016-01-04T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Predicting recreational water quality advisories: A comparison of statistical methods","docAbstract":"<p><span>Epidemiological studies indicate that fecal indicator bacteria (FIB) in beach water are associated with illnesses among people having contact with the water. In order to mitigate public health impacts, many beaches are posted with an advisory when the concentration of FIB exceeds a beach action value. The most commonly used method of measuring FIB concentration takes 18&ndash;24 h before returning a result. In order to avoid the 24&nbsp;h lag, it has become common to &rdquo;nowcast&rdquo; the FIB concentration using statistical regressions on environmental surrogate variables. Most commonly, nowcast models are estimated using ordinary least squares regression, but other regression methods from the statistical and machine learning literature are sometimes used. This study compares 14 regression methods across 7 Wisconsin beaches to identify which consistently produces the most accurate predictions. A random forest model is identified as the most accurate, followed by multiple regression fit using the adaptive LASSO.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2015.10.012","collaboration":"Great Lakes Restoration Initiative and Ocean Research Priority Plan","usgsCitation":"Brooks, W.R., Corsi, S., Fienen, M., and Carvin, R.B., 2016, Predicting recreational water quality advisories: A comparison of statistical methods: Environmental Modelling and Software, v. 76, p. 81-94, https://doi.org/10.1016/j.envsoft.2015.10.012.","productDescription":"14 p.","startPage":"81","endPage":"94","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-068220","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471348,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://handle.unsw.edu.au/1959.4/unsworks_37412","text":"External Repository"},{"id":313212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568b97a9e4b0e7594ee77624","contributors":{"authors":[{"text":"Brooks, Wesley R. wrbrooks@usgs.gov","contributorId":4217,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","email":"wrbrooks@usgs.gov","middleInitial":"R.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":150657,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carvin, Rebecca B. 0000-0001-7778-4841 rbcarvin@usgs.gov","orcid":"https://orcid.org/0000-0001-7778-4841","contributorId":4456,"corporation":false,"usgs":true,"family":"Carvin","given":"Rebecca","email":"rbcarvin@usgs.gov","middleInitial":"B.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160872,"text":"70160872 - 2016 - Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","interactions":[],"lastModifiedDate":"2016-01-25T16:14:19","indexId":"70160872","displayToPublicDate":"2016-01-04T14:00:00","publicationYear":"2016","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":"Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","docAbstract":"<p><span>Waterborne pathogens were measured at three beaches in Lake Michigan, environmental factors for predicting pathogen concentrations were identified, and the risk of swimmer infection and illness was estimated. Waterborne pathogens were detected in 96% of samples collected at three Lake Michigan beaches in summer, 2010. Samples were quantified for 22 pathogens in four microbial categories (human viruses, bovine viruses, protozoa, and pathogenic bacteria). All beaches had detections of human and bovine viruses and pathogenic bacteria indicating influence of multiple contamination sources at these beaches. Occurrence ranged from 40 to 87% for human viruses, 65&ndash;87% for pathogenic bacteria, and 13&ndash;35% for bovine viruses. Enterovirus, adenovirus A,&nbsp;</span><i>Salmonella spp.</i><span>,&nbsp;</span><i>Campylobacter jejuni</i><span>, bovine polyomavirus, and bovine rotavirus A were present most frequently. Variables selected in multiple regression models used to explore environmental factors that influence pathogens included wave direction, cloud cover, currents, and water temperature. Quantitative Microbial Risk Assessment was done for&nbsp;</span><i>C. jejuni</i><span>,&nbsp;</span><i>Salmonella spp.</i><span>, and enteroviruses to estimate risk of infection and illness. Median infection risks for one-time swimming events were approximately 3 &times; 10</span><span>&ndash;5</span><span>, 7 &times; 10</span><span>&ndash;9</span><span>, and 3 &times; 10</span><span>&ndash;7</span><span>&nbsp;for&nbsp;</span><i>C. jejuni</i><span>,&nbsp;</span><i>Salmonella</i><span>&nbsp;spp., and enteroviruses, respectively. Results highlight the importance of investigating multiple pathogens within multiple categories to avoid underestimating the prevalence and risk of waterborne pathogens.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5b04372","usgsCitation":"Corsi, S., Borchardt, M.A., Carvin, R.B., Burch, T.R., Spencer, S., Lutz, M.A., McDermott, C.M., Busse, K.M., Kleinheinz, G., Feng, X., and Zhu, J., 2016, Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk: Environmental Science & Technology, v. 50, no. 2, p. 987-995, https://doi.org/10.1021/acs.est.5b04372.","productDescription":"9 p.","startPage":"987","endPage":"995","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070759","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5b04372","text":"Publisher Index Page"},{"id":313202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.35504150390625,\n              44.747464745356666\n            ],\n            [\n              -87.35504150390625,\n              44.79109446239544\n            ],\n            [\n              -87.31624603271484,\n              44.79109446239544\n            ],\n            [\n              -87.31624603271484,\n              44.747464745356666\n            ],\n            [\n              -87.35504150390625,\n              44.747464745356666\n    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rbcarvin@usgs.gov","orcid":"https://orcid.org/0000-0001-7778-4841","contributorId":4456,"corporation":false,"usgs":true,"family":"Carvin","given":"Rebecca","email":"rbcarvin@usgs.gov","middleInitial":"B.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burch, Tucker R tburch@usgs.gov","contributorId":5689,"corporation":false,"usgs":true,"family":"Burch","given":"Tucker","email":"tburch@usgs.gov","middleInitial":"R","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":584104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":131020,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle","email":"malutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584105,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDermott, Colleen M.","contributorId":121104,"corporation":false,"usgs":true,"family":"McDermott","given":"Colleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":584106,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Busse, Kimberly M.","contributorId":151034,"corporation":false,"usgs":false,"family":"Busse","given":"Kimberly","email":"","middleInitial":"M.","affiliations":[{"id":18171,"text":"University of Wisconsin-Oshkosh","active":true,"usgs":false}],"preferred":false,"id":584107,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kleinheinz, Gregory","contributorId":70665,"corporation":false,"usgs":true,"family":"Kleinheinz","given":"Gregory","email":"","affiliations":[],"preferred":false,"id":584108,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Feng, Xiaoping","contributorId":151035,"corporation":false,"usgs":false,"family":"Feng","given":"Xiaoping","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":584109,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":584110,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70171365,"text":"70171365 - 2016 - Characterizing seasonal and diel vertical movement and habitat use of lake whitefish (Coregonus clupeaformis) in Clear Lake, Maine","interactions":[],"lastModifiedDate":"2016-05-27T13:39:37","indexId":"70171365","displayToPublicDate":"2016-01-04T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing seasonal and diel vertical movement and habitat use of lake whitefish (Coregonus clupeaformis) in Clear Lake, Maine","docAbstract":"<p>Seasonal and daily vertical activity of lake whitefish <i>Coregonus clupeaformis</i> was studied in Clear Lake, Maine (253 ha), using acoustic telemetry from November 2004 to June 2009. Twenty adult lake whitefish were tagged with acoustic tags that had either a depth sensor or both depth and temperature sensors to assess vertical habitat use at a seasonal and daily resolution. Vertical habitat selection varied seasonally and was strongly influenced by temperature. Between December and April, when the lake was covered with ice, surface temperature was below 2&deg;C and tagged individuals occupied deep areas of the lake (&sim;15 m). After ice-out, fish ascended into shallow waters (&sim;5 m), responding to increased water temperature and possibly to greater foraging opportunity. When surface water temperatures exceeded 20&deg;C, fish descended below the developing thermocline (&sim;9 m), where they remained until surface temperatures fell below 20&deg;C; fish then ascended into shallower depths, presumably for feeding and spawning. Through the winter, fish remained in thermal habitats that were warmer than the surface temperatures; in the summer, they selected depths with thermal habitats below 15&deg;C. Though the amplitude varied greatly across seasons, lake whitefish displayed a strong diurnal pattern of activity as measured by vertical velocities. Fish were twofold more active during spring, summer, and fall than during winter. Lake whitefish exhibited diel vertical migrations, rising in the water column during nighttime and occupying deeper waters during the day. This pattern was more pronounced in the spring and fall and far less prominent during winter and summer. The strong linkage between temperature and habitat use may limit the current range of lake whitefish and may be directly impacted by climatic change.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.675905","usgsCitation":"Zydlewski, J.D., Gorsky, D., and Balsey, D., 2016, Characterizing seasonal and diel vertical movement and habitat use of lake whitefish (Coregonus clupeaformis) in Clear Lake, Maine: Transactions of the American Fisheries Society, v. 141, no. 3, p. 761-771, https://doi.org/10.1080/00028487.2012.675905.","productDescription":"10 p.","startPage":"761","endPage":"771","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021954","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Main","otherGeospatial":"Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.54164123535155,\n              46.92025531537451\n            ],\n            [\n              -68.54164123535155,\n              46.9497935132625\n            ],\n            [\n              -68.50593566894531,\n              46.9497935132625\n            ],\n            [\n              -68.50593566894531,\n              46.92025531537451\n            ],\n            [\n              -68.54164123535155,\n              46.92025531537451\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"141","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"57496fade4b07e28b665cc4a","contributors":{"authors":[{"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":630720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":630731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balsey, David","contributorId":169692,"corporation":false,"usgs":false,"family":"Balsey","given":"David","email":"","affiliations":[],"preferred":false,"id":630732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70164454,"text":"70164454 - 2016 - Observing outer planet satellites (except Titan) with the James Webb Space Telescope: Science justification and observational requirements","interactions":[],"lastModifiedDate":"2018-11-13T13:53:37","indexId":"70164454","displayToPublicDate":"2016-01-04T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3203,"text":"Publications of the Astronomical Society of the Pacific","active":true,"publicationSubtype":{"id":10}},"title":"Observing outer planet satellites (except Titan) with the James Webb Space Telescope: Science justification and observational requirements","docAbstract":"<p><span>The&nbsp;</span><i>James Webb Space Telescope</i><span>&nbsp;(</span><i>JWST</i><span>) will allow observations with a unique combination of spectral, spatial, and temporal resolution for the study of outer planet satellites within our Solar System. We highlight the infrared spectroscopy of icy moons and temporal changes on geologically active satellites as two particularly valuable avenues of scientific inquiry. While some care must be taken to avoid saturation issues,&nbsp;</span><i>JWST</i><span>&nbsp;has observation modes that should provide excellent infrared data for such studies.</span></p>","language":"English","publisher":"Astronomical Society of the Pacific","doi":"10.1088/1538-3873/128/959/018006","usgsCitation":"Keszthelyi, L.P., Grundy, W., Stansberry, J., Sivaramakrishnan, A., Thatte, D., Gudipati, M., Tsang, C., Greenbaum, A., and McGruder, C., 2016, Observing outer planet satellites (except Titan) with the James Webb Space Telescope: Science justification and observational requirements: Publications of the Astronomical Society of the Pacific, v. 128, no. 959, p. 1-8, https://doi.org/10.1088/1538-3873/128/959/018006.","productDescription":"Article 018006; 8 p.","startPage":"1","endPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065517","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471350,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1088/1538-3873/128/959/018006","text":"External Repository"},{"id":316607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"959","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-04","publicationStatus":"PW","scienceBaseUri":"56b5d64ee4b0cc7999817378","contributors":{"authors":[{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":597454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grundy, Will","contributorId":156333,"corporation":false,"usgs":false,"family":"Grundy","given":"Will","email":"","affiliations":[],"preferred":false,"id":597497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stansberry, John","contributorId":156334,"corporation":false,"usgs":false,"family":"Stansberry","given":"John","email":"","affiliations":[],"preferred":false,"id":597498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sivaramakrishnan, Anand","contributorId":156335,"corporation":false,"usgs":false,"family":"Sivaramakrishnan","given":"Anand","email":"","affiliations":[],"preferred":false,"id":597499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thatte, Deepashri","contributorId":156336,"corporation":false,"usgs":false,"family":"Thatte","given":"Deepashri","email":"","affiliations":[],"preferred":false,"id":597500,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gudipati, Murthy","contributorId":156337,"corporation":false,"usgs":false,"family":"Gudipati","given":"Murthy","email":"","affiliations":[{"id":18876,"text":"California Institute of Technology, Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":597501,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tsang, Constantine","contributorId":156338,"corporation":false,"usgs":false,"family":"Tsang","given":"Constantine","email":"","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":597502,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greenbaum, Alexandra","contributorId":156339,"corporation":false,"usgs":false,"family":"Greenbaum","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":597503,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGruder, Chima","contributorId":156340,"corporation":false,"usgs":false,"family":"McGruder","given":"Chima","email":"","affiliations":[],"preferred":false,"id":597504,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70175554,"text":"70175554 - 2016 - Volcano-tectonic earthquakes: A new tool for estimating intrusive volumes and forecasting eruptions","interactions":[],"lastModifiedDate":"2016-08-16T16:14:54","indexId":"70175554","displayToPublicDate":"2016-01-01T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Volcano-tectonic earthquakes: A new tool for estimating intrusive volumes and forecasting eruptions","docAbstract":"<p id=\"sp0005\">We present data on 136 high-frequency earthquakes and swarms, termed volcano-tectonic (VT) seismicity, which preceded 111 eruptions at 83 volcanoes, plus data on VT swarms that preceded intrusions at 21 other volcanoes. We find that VT seismicity is usually the earliest reported seismic precursor for eruptions at volcanoes that have been dormant for decades or more, and precedes eruptions of all magma types from basaltic to rhyolitic and all explosivities from VEI 0 to ultraplinian VEI 6 at such previously long-dormant volcanoes. Because large eruptions occur most commonly during resumption of activity at long-dormant volcanoes, VT seismicity is an important precursor for the Earth's most dangerous eruptions. VT seismicity precedes all explosive eruptions of VEI &ge;&nbsp;5 and most if not all VEI 4 eruptions in our data set. Surprisingly we find that the VT seismicity originates at distal locations on tectonic fault structures at distances of one or two to tens of kilometers laterally from the site of the eventual eruption, and rarely if ever starts beneath the eruption site itself. The distal VT swarms generally occur at depths almost equal to the horizontal distance of the swarm from the summit out to about 15&nbsp;km distance, beyond which hypocenter depths level out. We summarize several important characteristics of this distal VT seismicity including: swarm-like nature, onset days to years prior to the beginning of magmatic eruptions, peaking of activity at the time of the initial eruption whether phreatic or magmatic, and large non-double couple component to focal mechanisms. Most importantly we show that the intruded magma volume can be simply estimated from the cumulative seismic moment of the VT seismicity from:</p>\n<p id=\"sp0010\">Log10 V&nbsp;=&nbsp;0.77 Log &Sigma;Moment&nbsp;&minus;&nbsp;5.32, with volume, V, in cubic meters and seismic moment in Newton meters. Because the cumulative seismic moment can be approximated from the size of just the few largest events, and is quite insensitive to precise locations, the intruded magma volume can be quickly and easily estimated with few short-period seismic stations.</p>\n<p id=\"sp0015\">Notable cases in which distal VT events preceded eruptions at long-dormant volcanoes include: Nevado del Ruiz (1984&ndash;1985), Pinatubo (1991), Unzen (1989&ndash;1995), Soufriere Hills (1995), Shishaldin (1989&ndash;1999), Tacana' (1985&ndash;1986), Pacaya (1980&ndash;1984), Rabaul (1994), and Cotopaxi (2001). Additional cases are recognized at frequently active volcanoes including Popocateptl (2001&ndash;2003) and Mauna Loa (1984). We present four case studies (Pinatubo, Soufriere Hills, Unzen, and Tacana') in which we demonstrate the above mentioned VT characteristics prior to eruptions. Using regional data recorded by NEIC, we recognized in near-real time that a huge distal VT swarm was occurring, deduced that a proportionately huge magmatic intrusion was taking place beneath the long dormant Sulu Range, New Britain Island, Papua New Guinea, that it was likely to lead to eruptive activity, and warned Rabaul Volcano Observatory days before a phreatic eruption occurred. This confirms the value of this technique for eruption forecasting. We also present a counter-example where we deduced that a VT swarm at Volcan Cosiguina, Nicaragua, indicated a small intrusion, insufficient to reach the surface and erupt. Finally, we discuss limitations of the method and propose a mechanism by which this distal VT seismicity is triggered by magmatic intrusion.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jvolgeores.2015.10.020","usgsCitation":"White, R.A., and McCausland, W., 2016, Volcano-tectonic earthquakes: A new tool for estimating intrusive volumes and forecasting eruptions: Journal of Volcanology and Geothermal Research, v. 309, p. 139-155, https://doi.org/10.1016/j.jvolgeores.2015.10.020.","startPage":"139","endPage":"155","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059009","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2015.10.020","text":"Publisher Index Page"},{"id":326598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"309","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b4395ce4b03bcb0103a01e","contributors":{"authors":[{"text":"White, Randall A. 0000-0003-4074-8577 rwhite@usgs.gov","orcid":"https://orcid.org/0000-0003-4074-8577","contributorId":1993,"corporation":false,"usgs":true,"family":"White","given":"Randall","email":"rwhite@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCausland, Wendy wmccausland@usgs.gov","contributorId":5497,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","email":"wmccausland@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":645667,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70164491,"text":"70164491 - 2016 - Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems","interactions":[],"lastModifiedDate":"2016-07-17T23:07:12","indexId":"70164491","displayToPublicDate":"2016-01-01T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems","docAbstract":"<p>To address how various environmental parameters control or constrain planktonic respiration (PR), we used geometric scaling relationships and established biological scaling laws to derive quantitative predictions for the relationships among key drivers of PR. We then used empirical measurements of PR and environmental (soluble reactive phosphate [SRP], carbon [DOC], chlorophyll <i>a</i> [Chl-<i>a</i>)], and temperature) and landscape parameters (lake area [LA] and watershed area [WA]) from a set of 44 lakes that varied in size and trophic status to test our hypotheses. We found that landscape-level processes affected PR through direct effects on DOC and temperature and indirectly via SRP. In accordance with predictions made from known relationships and scaling laws, scale coefficients (the parameter that describes the shape of a relationship between 2 variables) were found to be negative and have an absolute value 1, others &lt;1). We also found evidence of a significant relationship between temperature and SRP. Because our dataset included measurements of respiration from small pond catchments to the largest body of freshwater on the planet, Lake Superior, these findings should be applicable to controls of PR for the great majority of temperate aquatic ecosystems.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Inland Waters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Freshwater Biological Association","publisherLocation":"Ambleside, Cumbria, UK","doi":"10.5268/IW-6.1.839","usgsCitation":"Hall, E., Schoolmaster, D., Amado, A., Stets, E., Lennon, J., Domaine, L., and Cotner, J., 2016, Scaling relationships among drivers of aquatic respiration from the smallest to the largest freshwater ecosystems: Inland Waters, v. 6, no. 1, p. 1-10, https://doi.org/10.5268/IW-6.1.839.","productDescription":"10 p.","startPage":"1","endPage":"10","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063678","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":316697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56b9ca8de4b08d617f63a865","contributors":{"authors":[{"text":"Hall, Ed K","contributorId":156351,"corporation":false,"usgs":false,"family":"Hall","given":"Ed K","affiliations":[{"id":20320,"text":"University of Minnesota, Department of Ecology, Evolution and Behavior","active":true,"usgs":false}],"preferred":false,"id":597582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":597581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amado, A.M","contributorId":156352,"corporation":false,"usgs":false,"family":"Amado","given":"A.M","email":"","affiliations":[{"id":20321,"text":"Limnology Laboratory, Departamento de Oceanografia e Limnologia, Pós-graduação em Ecologia, Universidade Federal do Rio Grande do Norte, Natal","active":true,"usgs":false}],"preferred":false,"id":597583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stets, Edward G. estets@usgs.gov","contributorId":152533,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":597584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lennon, J.T.","contributorId":156353,"corporation":false,"usgs":false,"family":"Lennon","given":"J.T.","email":"","affiliations":[{"id":20322,"text":"Department of Biology Indiana University, Bloomington, IN","active":true,"usgs":false}],"preferred":false,"id":597585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Domaine, L.","contributorId":156354,"corporation":false,"usgs":false,"family":"Domaine","given":"L.","email":"","affiliations":[{"id":20323,"text":"Department of Biology, University of St. Thomas, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":597586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cotner, J.B.","contributorId":95272,"corporation":false,"usgs":true,"family":"Cotner","given":"J.B.","affiliations":[],"preferred":false,"id":597587,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70199864,"text":"70199864 - 2016 - Effects of topoclimatic complexity on the composition of woody plant communities","interactions":[],"lastModifiedDate":"2022-10-31T16:08:59.884268","indexId":"70199864","displayToPublicDate":"2016-01-01T15:02:10","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5538,"text":"AoB PLANTS","active":true,"publicationSubtype":{"id":10}},"title":"Effects of topoclimatic complexity on the composition of woody plant communities","docAbstract":"<p><span>Topography can create substantial environmental variation at fine spatial scales. Shaped by slope, aspect, hill-position and elevation, topoclimate heterogeneity may increase ecological diversity, and act as a spatial buffer for vegetation responding to climate change. Strong links have been observed between climate heterogeneity and species diversity at broader scales, but the importance of topoclimate for woody vegetation across small spatial extents merits closer examination. We established woody vegetation monitoring plots in mixed evergreen-deciduous woodlands that spanned topoclimate gradients of a topographically heterogeneous landscape in northern California. We investigated the association between the structure of adult and regenerating size classes of woody vegetation and multidimensional topoclimate at a fine scale. We found a significant effect of topoclimate on both single-species distributions and community composition. Effects of topoclimate were evident in the regenerating size class for all dominant species (four&nbsp;</span><i>Quercus spp.</i><span>&nbsp;,&nbsp;</span><i>Umbellularia californica</i><span>&nbsp;and&nbsp;</span><i>Pseudotsuga menziesii</i><span>&nbsp;) but only in two dominant species (&nbsp;</span><i>Quercus agrifolia</i><span>&nbsp;and&nbsp;</span><i>Quercus garryana</i><span>&nbsp;) for the adult size class. Adult abundance was correlated with water balance parameters (e.g. climatic water deficit) and recruit abundance was correlated with an interaction between the topoclimate parameters and conspecific adult abundance (likely reflecting local seed dispersal). However, in all cases, the topoclimate signal was weak. The magnitude of environmental variation across our study site may be small relative to the tolerance of long-lived woody species. Dispersal limitations, management practices and patchy disturbance regimes also may interact with topoclimate, weakening its influence on woody vegetation distributions. Our study supports the biological relevance of multidimensional topoclimate for mixed woodland communities, but highlights that this relationship might be mediated by interacting factors at local scales.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/aobpla/plw049","usgsCitation":"Oldfather, M., Britton, M.N., Papper, P.D., Koontz, M.J., Halbur, M.M., Dodge, C., Flint, A.L., Flint, L.E., and Ackerly, D.D., 2016, Effects of topoclimatic complexity on the composition of woody plant communities: AoB PLANTS, v. 8, p. 1-15, https://doi.org/10.1093/aobpla/plw049.","productDescription":"Article plw049; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-077874","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471353,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/aobpla/plw049","text":"Publisher Index Page"},{"id":357978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pepperwood Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.69336370883659,\n              38.585533785434706\n            ],\n            [\n              -122.69336370883659,\n              38.564755672055355\n            ],\n            [\n              -122.6684133279943,\n              38.564755672055355\n            ],\n            [\n              -122.6684133279943,\n              38.585533785434706\n            ],\n            [\n              -122.69336370883659,\n              38.585533785434706\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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D.","contributorId":208406,"corporation":false,"usgs":false,"family":"Papper","given":"Prahlad","email":"","middleInitial":"D.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":746969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koontz, Michael J.","contributorId":208410,"corporation":false,"usgs":false,"family":"Koontz","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":746977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halbur, Michelle M.","contributorId":208407,"corporation":false,"usgs":false,"family":"Halbur","given":"Michelle","email":"","middleInitial":"M.","affiliations":[{"id":37798,"text":"Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":746970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dodge, Celeste","contributorId":208411,"corporation":false,"usgs":false,"family":"Dodge","given":"Celeste","email":"","affiliations":[],"preferred":false,"id":746978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":746971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746966,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ackerly, David D.","contributorId":182417,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":746979,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70200465,"text":"70200465 - 2016 - Demographic modeling for reintroduction decision-making","interactions":[],"lastModifiedDate":"2018-10-24T10:37:37","indexId":"70200465","displayToPublicDate":"2016-01-01T14:27:02","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Demographic modeling for reintroduction decision-making","docAbstract":"In this chapter we consider the construction and use of population models to support reintroduction decision making. We begin by reviewing the decision-analytic process, also known as structured decision making. The material on structured decision making builds on the chapter by Chauvenet et al. (This Volume) who focus their attention on the objective setting step of structured decision making. In a decision-analytic setting, modeling cannot commence before objective setting, because the purpose of models is to provide predictions about how different management alternatives will influence the attainment of management objectives. After the introductory section on structured decision making, we turn our attention to the construction and use of population models. We discuss the steps in modeling, including structuring and planning models, obtaining parameter estimates from data, filling information gaps using expert judgment, constructing models, and using models to evaluate action alternatives. We close the chapter with a discussion of research and development needs that we believe will advance the use of population models to support the effective management of reintroduced populations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reintroduction of fish and wildlife populations","language":"English","publisher":"University of California Press","usgsCitation":"Converse, S.J., and Armstrong, D.P., 2016, Demographic modeling for reintroduction decision-making, chap. <i>of</i> Reintroduction of fish and wildlife populations, p. 123-146.","productDescription":"24 p.","startPage":"123","endPage":"146","ipdsId":"IP-069447","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358524,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book/9780520284616/reintroduction-of-fish-and-wildlife-populations"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10af84e4b034bf6a7e89da","contributors":{"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":748992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, Doug P.","contributorId":209868,"corporation":false,"usgs":false,"family":"Armstrong","given":"Doug","email":"","middleInitial":"P.","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":748993,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178823,"text":"70178823 - 2016 - Silicic lunar volcanism: Testing the crustal melting model","interactions":[],"lastModifiedDate":"2019-02-18T09:56:49","indexId":"70178823","displayToPublicDate":"2016-01-01T14:22:49","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Silicic lunar volcanism: Testing the crustal melting model","docAbstract":"<p>Lunar silicic rocks were first identified by granitic fragments found in samples brought to Earth by the Apollo missions, followed by the discovery of silicic domes on the lunar surface through remote sensing. Although these silicic lithologies are thought to make up a small portion of the lunar crust, their presence indicates that lunar crustal evolution is more complex than originally thought. Models currently used to describe the formation of silicic lithologies on the Moon include in situ differentiation of a magma, magma differentiation with silicate liquid immiscibility, and partial melting of the crust. This study focuses on testing a crustal melting model through partial melting experiments on compositions representing lithologies spatially associated with the silicic domes. The experiments were guided by the results of modeling melting temperatures and residual melt compositions of possible protoliths for lunar silicic rocks using the thermodynamic modeling software, rhyolite-MELTS.</p><p>Rhyolite-MELTS simulations predict liquidus temperatures of 950–1040 °C for lunar granites under anhydrous conditions, which guided the temperature range for the experiments. Monzogabbro, alkali gabbronorite, and KREEP basalt were identified as potential protoliths due to their ages, locations on the Moon (i.e., located near observed silicic domes), chemically evolved compositions, and the results from rhyolite-MELTS modeling. Partial melting experiments, using mixtures of reagent grade oxide powders representing bulk rock compositions of these rock types, were carried out at atmospheric pressure over the temperature range of 900–1100 °C. Because all lunar granite samples and remotely sensed domes have an elevated abundance of Th, some of the mixtures were doped with Th to observe its partitioning behavior.</p><p>Run products show that at temperatures of 1050 and 1100 °C, melts of the three protoliths are not silicic in nature (i.e., they have &lt;63 wt% SiO<sub>2</sub>). By 1000 °C, melts of both monzogabbro and alkali gabbronorite approach the composition of granite, but are also characterized by immiscible Si-rich and Fe-rich liquids. Furthermore, Th strongly partitions into the Fe-rich, and not the Si-rich glass in all experimental runs.</p><p>Our work provides important constraints on the mechanism of silicic melt formation on the Moon. The observed high-Th content of lunar granite is difficult to explain by silicate liquid immiscibility, because through this process, Th is not fractionated into the Si-rich phase. Results of our experiments and modeling suggests that silicic lunar rocks could be produced from monzogabbro and alkali gabbronorite protoliths by partial melting at<span>&nbsp;</span><i>T</i><span>&nbsp;</span>&lt; 1000 °C. Additionally, we speculate that at higher pressures (<i>P</i><span>&nbsp;</span>≥ 0.005 GPa), the observed immiscibility in the partial melting experiments would be suppressed.</p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2016-5619","usgsCitation":"Gullikson, A., Hagerty, J., Reid, M.R., Rapp, J., and Draper, D.S., 2016, Silicic lunar volcanism: Testing the crustal melting model: American Mineralogist, v. 101, no. 10, p. 2312-2321, https://doi.org/10.2138/am-2016-5619.","productDescription":"10 p.","startPage":"2312","endPage":"2321","ipdsId":"IP-066882","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":488778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2138/am-2016-5619","text":"Publisher Index Page"},{"id":356294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-01","publicationStatus":"PW","scienceBaseUri":"5b6fca0ee4b0f5d57878ec86","contributors":{"authors":[{"text":"Gullikson, Amber","contributorId":177311,"corporation":false,"usgs":false,"family":"Gullikson","given":"Amber","affiliations":[],"preferred":false,"id":741899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagerty, Justin 0000-0003-3800-7948 jhagerty@usgs.gov","orcid":"https://orcid.org/0000-0003-3800-7948","contributorId":911,"corporation":false,"usgs":true,"family":"Hagerty","given":"Justin","email":"jhagerty@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":741900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Mary R.","contributorId":11925,"corporation":false,"usgs":true,"family":"Reid","given":"Mary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":741901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rapp, Jennifer F.","contributorId":206830,"corporation":false,"usgs":false,"family":"Rapp","given":"Jennifer F.","affiliations":[],"preferred":false,"id":741902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Draper, David S.","contributorId":206831,"corporation":false,"usgs":false,"family":"Draper","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":741903,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202037,"text":"70202037 - 2016 - Uncertainty in CO2 storage cost and resource estimates","interactions":[],"lastModifiedDate":"2019-02-07T13:55:54","indexId":"70202037","displayToPublicDate":"2016-01-01T13:55:45","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5801,"text":"Geological Society of America Abstracts with Programs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Uncertainty in CO<sub>2</sub> storage cost and resource estimates","title":"Uncertainty in CO2 storage cost and resource estimates","docAbstract":"<p><span>Carbon capture from stationary sources and geological storage of anthropogenic carbon dioxide (CO</span><sub>2</sub><span>) is an important option to include in strategies for the mitigation of greenhouse gas (GHG) emissions. However, the potential costs of commercial-scale CO</span><sub>2</sub><span>storage are not well constrained, stemming from the inherent uncertainty in current geologic storage resource estimates coupled with a lack of detailed estimates of the infrastructure needed to access those resources. The storage resource estimates are highly dependent on storage efficiency values, which are calculated based on ranges of geological and physical parameters. If dynamic factors (such as variability of storage efficiency and injection rates), reservoir pressure limitations, CO</span><sub>2</sub><span>&nbsp;migration boundaries, consideration of closed or semi-closed saline reservoir systems, and other possible constraints on recent estimates of the technically accessible CO</span><sub>2</sub><span>&nbsp;storage resource (TASR) in the United States are accounted for, it is possible that only a fraction of the estimated TASR could actually be available without incurring significant additional costs. Although high-level assessments of the TASR typically assume that any issues with reservoir pressure buildup as a result of CO</span><sub>2</sub><span>&nbsp;injection will be mitigated by reservoir pressure management, most estimates of the costs of CO</span><sub>2</sub><span>&nbsp;storage do not include the costs of pressure management. Production of brines could be essential to increasing the dynamic storage capacity of reservoirs that will be targeted for CO</span><sub>2</sub><span>&nbsp;storage to approach volumetric storage capacity levels (IEAGHG, 2014), but including the costs of this critical method of reservoir pressure management could increase current estimates of the costs of CO</span><sub>2</sub><span>&nbsp;storage (e.g., Dahowski and others, 2011; NETL, 2014) by two times, or more (Harto and Veil, 2011). To the extent that uncertainty in the availability and cost of CO</span><sub>2</sub><span>&nbsp;storage contributes to uncertainty in the costs of the entire process of carbon capture and storage, it could be a factor in delaying investment into upstream carbon-capture projects (Laughton and others, 2008). It may be useful to have basin-wide (or greater) estimates of geologic storage capacity broken down into economic feasibility classes according to the total costs of CO</span><sub>2</sub><span>&nbsp;storage, including the expected costs of pressure management.</span></p>","conferenceTitle":"Geological Society of America Annual Meeting","conferenceDate":"September 25–28, 2016","conferenceLocation":"Boulder, CO","language":"English","publisher":"Geological Society of America","doi":"10.1130/abs/2016AM-281469","usgsCitation":"Anderson, S.T., 2016, Uncertainty in CO2 storage cost and resource estimates: Geological Society of America Abstracts with Programs, v. 48, no. 7, 1 p., https://doi.org/10.1130/abs/2016AM-281469.","productDescription":"1 p.","ipdsId":"IP-076643","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756799,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202036,"text":"70202036 - 2016 - Liability, and the costs of CO2 sequestration","interactions":[],"lastModifiedDate":"2019-02-07T13:51:58","indexId":"70202036","displayToPublicDate":"2016-01-01T13:51:52","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Liability, and the costs of CO<sub>2</sub> sequestration","title":"Liability, and the costs of CO2 sequestration","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, 34th","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"U.S. Association for Energy Economics","usgsCitation":"Anderson, S.T., 2016, Liability, and the costs of CO2 sequestration, <i>in</i> U.S. Association for Energy Economics and International Association for Energy Economics North American Conference, 34th, 2 p.","productDescription":"2 p.","ipdsId":"IP-076642","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":361079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":756798,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169861,"text":"70169861 - 2016 - Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs","interactions":[],"lastModifiedDate":"2018-08-07T13:48:36","indexId":"70169861","displayToPublicDate":"2016-01-01T13:48:29","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs","docAbstract":"<p><span>Recent studies have shown that the total nitrogen to total phosphorus (TN:TP) ratio and nitrogen oxidation state may have substantial effects on secondary metabolite (e.g., microcystins) production in cyanobacteria. We investigated the relationship between the water column TN:TP ratio and the cyanobacterial secondary metabolites geosmin, 2-methylisoborneol (MIB), and microcystin using multiple years of data from 4 reservoirs located in the Midwestern United States. We also examined the relationship between water column concentrations of chemically oxidized (NO</span><sub>3</sub><span>) and reduced (NH</span><sub>3</sub><span>) nitrogen, the NO</span><sub>3</sub><span>:NH</span><sub>3</sub><span>&nbsp;ratio, cyanobacterial biovolume, and associated secondary metabolites. We found that the cyanobacterial secondary metabolites geosmin, MIB, and microcystin primarily occurred when the TN:TP ratio was &lt;30:1 (by mass), likely due to higher cyanobacterial biovolumes at lower TN:TP ratios. We also found that relative cyanobacterial biovolume was inversely related to the NO</span><sub>3</sub><span>:NH</span><sub>3</sub><span>&nbsp;ratio. Both N</span><sub>2</sub><span>- and non-N</span><sub>2</sub><span>-fixing cyanobacteria seemed to produce secondary metabolites and had higher concentrations per unit biovolume when NO</span><sub>3</sub><span>:NH</span><sub>3</sub><span>&nbsp;ratios were relatively low. Our data thus are consistent with the hypothesis that lower TN:TP ratios favor cyanobacterial dominance and also suggest that relatively low NO</span><sub>3</sub><span>:NH</span><sub>3</sub><span>&nbsp;ratios provide conditions that may favor the production of cyanobacterial secondary metabolites. Our data further suggest that increases in the absolute concentrations of TP or NH</span><sub>3</sub><span>&nbsp;(or both), causing decreases in TN:TP and NO</span><sub>3</sub><span>:NH</span><sub>3</sub><span>ratios, respectively, may stimulate cyanobacteria having the metabolic ability to produce geosmin, MIB, or microcystins. Future studies should address how the NO</span><sub>3</sub><span>:NH</span><sub>3</sub><span>&nbsp;ratio affects phytoplankton community structure and occurrence and production of cyanobacterial secondary metabolites.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.5268/IW-6.2.938","usgsCitation":"Harris, T.D., Smith, V.H., Graham, J., Van de Waal, D.B., Tedesco, L., and Clercin, N., 2016, Combined effects of nitrogen to phosphorus and nitrate toammonia ratios on cyanobacterial metabolite concentrations ineutrophic Midwestern USA reservoirs: Inland Waters, v. 6, no. 2, p. 199-210, https://doi.org/10.5268/IW-6.2.938.","productDescription":"12 p.","startPage":"199","endPage":"210","ipdsId":"IP-061939","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":471354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5268/iw-6.2.938","text":"Publisher Index Page"},{"id":356288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fca0fe4b0f5d57878ec88","contributors":{"authors":[{"text":"Harris, Theodore D. 0000-0003-0944-8007 tdharris@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-8007","contributorId":4040,"corporation":false,"usgs":true,"family":"Harris","given":"Theodore","email":"tdharris@usgs.gov","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":625361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Val H.","contributorId":168292,"corporation":false,"usgs":false,"family":"Smith","given":"Val","email":"","middleInitial":"H.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":625364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":625362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van de Waal, Dedmer B.","contributorId":168291,"corporation":false,"usgs":false,"family":"Van de Waal","given":"Dedmer","email":"","middleInitial":"B.","affiliations":[{"id":25240,"text":"NIOO-KNAW","active":true,"usgs":false}],"preferred":false,"id":625363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tedesco, Lenore","contributorId":168293,"corporation":false,"usgs":false,"family":"Tedesco","given":"Lenore","email":"","affiliations":[{"id":25241,"text":"Wetlands institute","active":true,"usgs":false}],"preferred":false,"id":625365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clercin, Nicolas","contributorId":168294,"corporation":false,"usgs":false,"family":"Clercin","given":"Nicolas","email":"","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":625366,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70162270,"text":"70162270 - 2016 - Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char <i>Salvelinus fontinalis</i>","interactions":[],"lastModifiedDate":"2016-01-20T12:26:57","indexId":"70162270","displayToPublicDate":"2016-01-01T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char <i>Salvelinus fontinalis</i>","docAbstract":"<p>Environmental DNA sampling (eDNA) has emerged as a powerful tool for detecting aquatic animals. Previous research suggests that eDNA methods are substantially more sensitive than traditional sampling. However, the factors influencing eDNA detection and the resulting sampling costs are still not well understood. Here we use multiple experiments to derive independent estimates of eDNA production rates and downstream persistence from brook trout (<i>Salvelinus fontinalis</i>) in streams. We use these estimates to parameterize models comparing the false negative detection rates of eDNA sampling and traditional backpack electrofishing. We find that using the protocols in this study eDNA had reasonable detection probabilities at extremely low animal densities (e.g., probability of detection 0.18 at densities of one fish per stream kilometer) and very high detection probabilities at population-level densities (e.g., probability of detection &gt; 0.99 at densities of &ge; 3 fish per 100 m). This is substantially more sensitive than traditional electrofishing for determining the presence of brook trout and may translate into important cost savings when animals are rare. Our findings are consistent with a growing body of literature showing that eDNA sampling is a powerful tool for the detection of aquatic species, particularly those that are rare and difficult to sample using traditional methods.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2015.12.023","usgsCitation":"Wilcox, T., Mckelvey, K.S., Young, M.K., Sepulveda, A.J., Shepard, B.B., Jane, S., Whiteley, A.R., Lowe, W.H., and Schwartz, M.K., 2016, Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char <i>Salvelinus fontinalis</i>: Biological Conservation, v. 194, p. 209-216, https://doi.org/10.1016/j.biocon.2015.12.023.","productDescription":"8 p.","startPage":"209","endPage":"216","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066118","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a0bdd9e4b0961cf280dc30","contributors":{"authors":[{"text":"Wilcox, Taylor","contributorId":152363,"corporation":false,"usgs":false,"family":"Wilcox","given":"Taylor","email":"","affiliations":[{"id":18916,"text":"U.S. Department of Agriculture, Forest Service, National Genomics Center for Wildlife and Fish Conservation, Rocky Mountain Research Station, Missoula, MT 59801 USA","active":true,"usgs":false}],"preferred":false,"id":589054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mckelvey, Kevin S.","contributorId":22617,"corporation":false,"usgs":true,"family":"Mckelvey","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":589055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Michael K.","contributorId":34253,"corporation":false,"usgs":true,"family":"Young","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":589056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shepard, Bradley B.","contributorId":57327,"corporation":false,"usgs":true,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":589057,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jane, Stephen F","contributorId":152365,"corporation":false,"usgs":false,"family":"Jane","given":"Stephen F","affiliations":[{"id":18918,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA, 01003, USA","active":true,"usgs":false}],"preferred":false,"id":589058,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":589059,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":589060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":589061,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70159817,"text":"70159817 - 2016 - Moss and vascular plant indices in Ohio wetlands have similar environmental predictors","interactions":[],"lastModifiedDate":"2016-01-06T12:12:51","indexId":"70159817","displayToPublicDate":"2016-01-01T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Moss and vascular plant indices in Ohio wetlands have similar environmental predictors","docAbstract":"<p>Mosses and vascular plants have been shown to be reliable indicators of wetland habitat delineation and environmental quality. Knowledge of the best ecological predictors of the quality of wetland moss and vascular plant communities may determine if similar management practices would simultaneously enhance both populations. We used Akaike's Information Criterion to identify models predicting a moss quality assessment index (MQAI) and a vascular plant index of biological integrity based on floristic quality (VIBI-FQ) from 27 emergent and 13 forested wetlands in Ohio, USA. The set of predictors included the six metrics from a wetlands disturbance index (ORAM) and two landscape development intensity indices (LDIs). The best single predictor of MQAI and one of the predictors of VIBI-FQ was an ORAM metric that assesses habitat alteration and disturbance within the wetland, such as mowing, grazing, and agricultural practices. However, the best single predictor of VIBI-FQ was an ORAM metric that assessed wetland vascular plant communities, interspersion, and microtopography. LDIs better predicted MQAI than VIBI-FQ, suggesting that mosses may either respond more rapidly to, or recover more slowly from, anthropogenic disturbance in the surrounding landscape than vascular plants. These results supported previous predictive studies on amphibian indices and metrics and a separate vegetation index, indicating that similar wetland management practices may result in qualitatively the same ecological response for three vastly different wetland biological communities (amphibians, vascular plants, and mosses).</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2015.11.036","usgsCitation":"Stapanian, M.A., Schumacher, W., Gara, B., Adams, J.V., and Viau, N., 2016, Moss and vascular plant indices in Ohio wetlands have similar environmental predictors: Ecological Indicators, v. 62, p. 138-146, https://doi.org/10.1016/j.ecolind.2015.11.036.","productDescription":"9 p.","startPage":"138","endPage":"146","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066410","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70159818,"text":"70159818 - 2016 - Mosses in Ohio wetlands respond to indices of disturbance and vascular plant integrity","interactions":[],"lastModifiedDate":"2016-01-06T12:06:13","indexId":"70159818","displayToPublicDate":"2016-01-01T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Mosses in Ohio wetlands respond to indices of disturbance and vascular plant integrity","docAbstract":"<p>We examined the relationships between an index of wetland habitat quality and disturbance (ORAM score) and an index of vascular plant integrity (VIBI-FQ score) with moss species richness and a moss quality assessment index (MQAI) in 45 wetlands in three vegetation types in Ohio, USA. Species richness of mosses and MQAI were positively associated with ORAM and VIBI-FQ scores. VIBI-FQ score was a better predictor of both moss species richness and MQAI than was either ORAM score or vegetation type. This result was consistent with the strict microhabitat requirements for many moss species, which may be better assessed by VIBI-FQ than ORAM. Probability curves as a function of VIBI-FQ score were then generated for presence of groups of moss species having the same degree of fidelity to substrate and plant communities relative to other species in the moss flora (coefficients of conservatism, CCs). Species having an intermediate- or high degree of fidelity to substrate and plant communities (i.e., species with CC &ge; 5) had a 50% probability of presence (P<sub>50</sub>) and 90% probability of presence (P<sub>90</sub>) in wetlands with intermediate- and high VIBI-FQ scores, respectively. Although moss species richness, probability of presence of species based on CC, and MQAI may reflect wetland habitat quality, the 95% confidence intervals around P<sub>50</sub> and P<sub>90</sub> values may be too wide for regulatory use. Moss species richness, MQAI, and presence of groups of mosses may be more useful for evaluating moss habitat quality in wetlands than a set of &ldquo;indicator species.&rdquo;</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2015.11.047","usgsCitation":"Stapanian, M.A., Schumacher, W., Gara, B., and Viau, N., 2016, Mosses in Ohio wetlands respond to indices of disturbance and vascular plant integrity: Ecological Indicators, v. 63, p. 110-120, https://doi.org/10.1016/j.ecolind.2015.11.047.","productDescription":"11 p.","startPage":"110","endPage":"120","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065213","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-82.835118,41.708971],[-82.82572,41.72281],[-82.820409,41.724549],[-82.810487,41.720524],[-82.782719,41.694003],[-82.793069,41.664692],[-82.827011,41.633701],[-82.842099,41.628323],[-82.843602,41.647009],[-82.835118,41.708971]]],[[[-82.700208,41.61219],[-82.691123,41.611331],[-82.68015,41.61897],[-82.677772,41.617986],[-82.680669,41.594611],[-82.686033,41.587246],[-82.702027,41.585437],[-82.735766,41.600982],[-82.735707,41.603361],[-82.718802,41.619629],[-82.70731,41.619609],[-82.703438,41.617734],[-82.700208,41.61219]]],[[[-81.725583,39.215835],[-81.733357,39.205868],[-81.737085,39.193836],[-81.741533,39.189596],[-81.752754,39.184676],[-81.755754,39.180976],[-81.756254,39.177276],[-81.743565,39.141933],[-81.744838,39.130898],[-81.742153,39.116777],[-81.745453,39.098078],[-81.752353,39.089878],[-81.760753,39.084078],[-81.775554,39.078378],[-81.785554,39.078578],[-81.803055,39.083878],[-81.810655,39.083278],[-81.813855,39.079278],[-81.811655,39.059578],[-81.803355,39.047678],[-81.772854,39.026179],[-81.764253,39.015279],[-81.765153,39.002579],[-81.774062,38.993682],[-81.776723,38.985142],[-81.775734,38.980737],[-81.78182,38.964935],[-81.778845,38.955892],[-81.756975,38.937152],[-81.756131,38.933545],[-81.759995,38.925828],[-81.76976,38.92273],[-81.781248,38.924804],[-81.793372,38.930204],[-81.806137,38.942112],[-81.814235,38.946168],[-81.827354,38.945898],[-81.831516,38.943697],[-81.844486,38.928746],[-81.845312,38.910088],[-81.848653,38.901407],[-81.855971,38.892734],[-81.889233,38.874279],[-81.898541,38.874582],[-81.910312,38.879294],[-81.928,38.893492],[-81.926671,38.901311],[-81.90091,38.924338],[-81.89847,38.929603],[-81.900595,38.937671],[-81.933186,38.987659],[-81.941829,38.993295],[-81.951447,38.996032],[-81.967769,38.992955],[-81.979371,38.993193],[-81.982032,38.995697],[-81.987061,39.011978],[-81.994961,39.022478],[-82.002261,39.027878],[-82.017562,39.030078],[-82.035963,39.025478],[-82.041563,39.017878],[-82.045663,39.003778],[-82.051563,38.994378],[-82.091565,38.973778],[-82.094865,38.964578],[-82.109065,38.945579],[-82.111666,38.932579],[-82.128866,38.909979],[-82.143167,38.898079],[-82.145267,38.883479],[-82.139224,38.86502],[-82.144867,38.84048],[-82.16157,38.824632],[-82.179478,38.817376],[-82.191172,38.815137],[-82.20929,38.802672],[-82.217269,38.79568],[-82.221566,38.787187],[-82.220449,38.773739],[-82.216614,38.76835],[-82.198882,38.757725],[-82.195606,38.752441],[-82.193268,38.741182],[-82.188268,38.734082],[-82.182467,38.708782],[-82.190167,38.687382],[-82.190867,38.680383],[-82.186067,38.666783],[-82.185567,38.659583],[-82.179067,38.648883],[-82.172667,38.629684],[-82.172066,38.619284],[-82.177267,38.603784],[-82.188767,38.594984],[-82.205171,38.591719],[-82.222168,38.591384],[-82.245969,38.598483],[-82.26207,38.598183],[-82.27427,38.593683],[-82.291271,38.578983],[-82.293871,38.572683],[-82.293271,38.560283],[-82.295671,38.538483],[-82.303971,38.517683],[-82.304223,38.496308],[-82.310639,38.483172],[-82.318111,38.457876],[-82.323999,38.449268],[-82.330335,38.4445],[-82.34064,38.440948],[-82.381773,38.434783],[-82.389746,38.434355],[-82.404882,38.439347],[-82.529579,38.405182],[-82.549799,38.403202],[-82.569368,38.406258],[-82.588249,38.415489],[-82.596921,38.426705],[-82.600761,38.437425],[-82.604089,38.459841],[-82.610458,38.471457],[-82.618474,38.477089],[-82.637707,38.484449],[-82.657051,38.496816],[-82.675724,38.515504],[-82.689965,38.53592],[-82.700045,38.544336],[-82.730958,38.559264],[-82.763695,38.560399],[-82.779472,38.559023],[-82.800112,38.563183],[-82.820161,38.572703],[-82.844306,38.590862],[-82.854291,38.613454],[-82.856791,38.632878],[-82.856291,38.646078],[-82.859391,38.660378],[-82.863291,38.669277],[-82.874892,38.682827],[-82.877592,38.690177],[-82.870392,38.722077],[-82.871292,38.739376],[-82.879492,38.751476],[-82.889193,38.756076],[-82.894193,38.756576],[-82.923694,38.750076],[-82.943147,38.74328],[-82.968695,38.728776],[-82.979395,38.725976],[-83.011816,38.730057],[-83.030702,38.72572],[-83.053104,38.695831],[-83.064319,38.688976],[-83.084226,38.68109],[-83.102746,38.677316],[-83.112372,38.671685],[-83.122547,38.6592],[-83.128973,38.640231],[-83.135046,38.631719],[-83.142836,38.625076],[-83.156926,38.620547],[-83.202453,38.616956],[-83.211027,38.618578],[-83.232404,38.627569],[-83.245572,38.627936],[-83.254558,38.623403],[-83.264011,38.621535],[-83.26851,38.615104],[-83.286514,38.599241],[-83.294193,38.596588],[-83.307832,38.600824],[-83.317542,38.609242],[-83.322383,38.630615],[-83.327636,38.637489],[-83.356445,38.654009],[-83.384755,38.663171],[-83.420194,38.668428],[-83.446989,38.670143],[-83.468059,38.67547],[-83.493342,38.694187],[-83.504365,38.699256],[-83.520953,38.703045],[-83.533339,38.702105],[-83.569098,38.692842],[-83.615736,38.684145],[-83.626922,38.679387],[-83.636208,38.670584],[-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,{"id":70169240,"text":"70169240 - 2016 - Toward more realistic projections of soil carbon dynamics by Earth system models","interactions":[],"lastModifiedDate":"2016-05-17T16:11:58","indexId":"70169240","displayToPublicDate":"2016-01-01T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Toward more realistic projections of soil carbon dynamics by Earth system models","docAbstract":"<p><span>Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real-world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first-order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth-dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool- and flux-based data sets through data assimilation is among the highest priorities for near-term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GB005239","usgsCitation":"Luo, Y., Ahlstrom, A., Allison, S.D., Batjes, N.H., Brovkin, V., Carvalhais, N., Chappell, A., Ciais, P., Davidson, E.A., Finzi, A., Georgiou, K., Guenet, B., Hararuk, O., Harden, J., He, Y., Hopkins, F., Jiang, L., Koven, C., Jackson, R.B., Jones, C.D., Lara, M., Liang, J., McGuire, A.D., Parton, W., Peng, C., Randerson, J., Salazar, A., Sierra, C., Smith, M.J., Tian, H., Todd-Brown, K.E., Torn, M.S., van Groenigen, K.J., Wang, Y., West, T.O., Wei, Y., Wieder, W.R., Xia, J., Xu, X., Xu, X., and Zhou, T., 2016, Toward more realistic projections of soil carbon dynamics by Earth system models: Global Biogeochemical Cycles, v. 30, no. 1, p. 40-56, https://doi.org/10.1002/2015GB005239.","productDescription":"17 p.","startPage":"40","endPage":"56","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067379","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471356,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gb005239","text":"Publisher Index Page"},{"id":319354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-21","publicationStatus":"PW","scienceBaseUri":"56f50fd4e4b0f59b85e1ebec","contributors":{"authors":[{"text":"Luo, 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David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":623378,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Parton, William","contributorId":75175,"corporation":false,"usgs":true,"family":"Parton","given":"William","affiliations":[],"preferred":false,"id":623574,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Peng, Changhui","contributorId":8357,"corporation":false,"usgs":true,"family":"Peng","given":"Changhui","affiliations":[],"preferred":false,"id":623575,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Randerson, J.","contributorId":94458,"corporation":false,"usgs":true,"family":"Randerson","given":"J.","affiliations":[],"preferred":false,"id":623576,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Salazar, Alejandro","contributorId":167804,"corporation":false,"usgs":false,"family":"Salazar","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":623577,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Sierra, Carlos A.","contributorId":30521,"corporation":false,"usgs":true,"family":"Sierra","given":"Carlos A.","affiliations":[],"preferred":false,"id":623578,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Smith, Matthew J.","contributorId":61701,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623579,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Tian, Hanqin","contributorId":117981,"corporation":false,"usgs":true,"family":"Tian","given":"Hanqin","email":"","affiliations":[],"preferred":false,"id":623580,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Todd-Brown, Katherine E. O","contributorId":167805,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","email":"","middleInitial":"E. O","affiliations":[],"preferred":false,"id":623581,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Torn, Margaret S.","contributorId":28179,"corporation":false,"usgs":false,"family":"Torn","given":"Margaret","email":"","middleInitial":"S.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":623582,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"van Groenigen, Kees Jan","contributorId":167806,"corporation":false,"usgs":false,"family":"van Groenigen","given":"Kees","email":"","middleInitial":"Jan","affiliations":[],"preferred":false,"id":623583,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Wang, Ying","contributorId":76237,"corporation":false,"usgs":true,"family":"Wang","given":"Ying","email":"","affiliations":[],"preferred":false,"id":623584,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"West, Tristram O.","contributorId":39230,"corporation":false,"usgs":true,"family":"West","given":"Tristram","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":623585,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Wei, Yaxing","contributorId":79347,"corporation":false,"usgs":true,"family":"Wei","given":"Yaxing","email":"","affiliations":[],"preferred":false,"id":623586,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Wieder, William R.","contributorId":75792,"corporation":false,"usgs":true,"family":"Wieder","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623587,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Xia, Jianyang","contributorId":167809,"corporation":false,"usgs":false,"family":"Xia","given":"Jianyang","email":"","affiliations":[],"preferred":false,"id":623588,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Xu, Xia","contributorId":167810,"corporation":false,"usgs":false,"family":"Xu","given":"Xia","email":"","affiliations":[],"preferred":false,"id":623589,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Xu, Xiaofeng","contributorId":167811,"corporation":false,"usgs":false,"family":"Xu","given":"Xiaofeng","email":"","affiliations":[],"preferred":false,"id":623590,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Zhou, T.","contributorId":93248,"corporation":false,"usgs":true,"family":"Zhou","given":"T.","email":"","affiliations":[],"preferred":false,"id":623591,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}}
,{"id":70199655,"text":"70199655 - 2016 - Pre-Mississippian tectonic affinity across the Canada Basin–Arctic margins of Alaska and Canada","interactions":[],"lastModifiedDate":"2018-09-24T11:48:21","indexId":"70199655","displayToPublicDate":"2016-01-01T11:48:10","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pre-Mississippian tectonic affinity across the Canada Basin–Arctic margins of Alaska and Canada","docAbstract":"<p><span>New and reprocessed seismic reflection data on the Alaskan and Canadian Arctic margins of the Canada Basin, together with geologic constraints from exploration wells and outcrops, reveal structural and stratigraphic relationships in pre-Mississippian rocks that constrain models of Canada Basin opening. Lithostratigraphic age and acoustic character indicate that the Devonian and older passive-margin to foreland-basin succession in the Canadian M’Clure Strait is also found on the central Alaska margin. This succession also displays similar structural geometry and relief as well as deformational age on both margins. Moreover, Middle Devonian to Early Mississippian tectonic vergence—north directed on the central Alaska margin and east directed in the Canadian M’Clure Strait—indicates a common direction of tectonic transport if the two margins were conjugate. All of these observations demonstrate that pre-Mississippian rocks of the Alaskan and Canadian Arctic margins share a common tectonic history of uplift and exhumation and that the two margins were conjugates prior to opening of the Canada Basin.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G37862.1","usgsCitation":"Houseknecht, D.W., and Connors, C., 2016, Pre-Mississippian tectonic affinity across the Canada Basin–Arctic margins of Alaska and Canada: Geology, v. 44, no. 7, p. 507-510, https://doi.org/10.1130/G37862.1.","productDescription":"4 p.","startPage":"507","endPage":"510","ipdsId":"IP-073852","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":471357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g37862.1","text":"Publisher Index Page"},{"id":357672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160,\n              69\n            ],\n            [\n              -144,\n              69\n            ],\n            [\n              -144,\n              72\n            ],\n            [\n              -160,\n              72\n            ],\n            [\n              -160,\n              69\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-01","publicationStatus":"PW","scienceBaseUri":"5bc03402e4b0fc368eb53a92","contributors":{"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connors, Christopher D.","contributorId":11950,"corporation":false,"usgs":true,"family":"Connors","given":"Christopher D.","affiliations":[],"preferred":false,"id":746084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198530,"text":"70198530 - 2016 - Slab-rollback ignimbrite flareups in the southern Great Basin and other Cenozoic American arcs: A distinct style of arc volcanism","interactions":[],"lastModifiedDate":"2018-08-07T11:47:45","indexId":"70198530","displayToPublicDate":"2016-01-01T11:45:02","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Slab-rollback ignimbrite flareups in the southern Great Basin and other Cenozoic American arcs: A distinct style of arc volcanism","docAbstract":"<p>In continental-margin subduction zones, basalt magmas spawned in the mantle interact with the crust to produce a broad spectrum of volcanic arc associations. A distinct style of very voluminous arc volcanism develops far inland on thick crust over periods of 10–20 m.y. and involves relatively infrequent caldera-forming explosive eruptions of dominantly calc-alkaline rhyolite, dacite, and trachydacite with repose times of 10<sup>4</sup>–10<sup>6</sup><span>&nbsp;</span>yr. Volumes of individual eruptions are large (10<sup>2</sup>–10<sup>3</sup><span>&nbsp;</span>km<sup>3</sup>), and nested super-eruptions of thousands of cubic kilometers are common. Calderas are as much as 60–75 km in diameter, and surrounding individual ignimbrite outflow sheets extend outward as much as 150 km, blanketing upwards of 10<sup>5</sup><span>&nbsp;</span>km<sup>2</sup>. Little or no basalt is extruded, whereas andesitic differentiates coeval with silicic ignimbrites range from minor to dominant in relative volume. A common feature in these flareups is essentially nonextending, thick, inland crust overlying a subducting oceanic plate with transverse tears that rolled back to a steeper dip from a previously flat configuration. Lithospheric delamination is locally possible. Large volumes of basalt that provide heat and mass for silicic magma generation in the crust form by fluid fluxing of the growing mantle wedge overlying the steepening dehydrating slab and from asthenospheric decompression. Variations in the mantle input, together with variations in crustal thickness, temperature, and composition, modulate the expression of the flareups. As a consequence of the high flux of mantle-derived magma into the thick crust, geotherms become elevated, and the brittle-ductile transition can rise to depths as shallow as 7 km. At this transition, diapirically rising magmas from a melting, assimilation, storage, and homogenization (MASH) zone are blocked and spread laterally into discoid chambers that grow until a thermomechanical threshold is attained, triggering climactic eruption and caldera collapse.</p><p>This ignimbrite flareup style of continental arc volcanism is exemplified by the mid-Cenozoic southern Great Basin ignimbrite province; other examples include the contemporaneous Southern Rocky Mountain, Mogollon-Datil, vast Sierra Madre Occidental volcanic fields, and the late Cenozoic Altiplano-Puna volcanic complex in the Central Andes. Rhyolitic and trachydacitic ignimbrites typically have erupted, but where the crust was predominantly felsic, prewarmed, and orogenically thickened, well-developed MASH zones have spawned multiple super-eruptions of phenocryst-rich dacite, or monotonous intermediates, and smaller volumes of calc-alkaline rhyolite ignimbrite. In the Great Basin, eruptions of dry, hot trachydacite magma followed the monotonous intermediates. Partial melting in thinner crust with a major mafic component yielded more alkalic rhyolite and related trachydacite.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01285.1","usgsCitation":"Best, M.G., Christiansen, E.H., de Silva, S., and Lipman, P.W., 2016, Slab-rollback ignimbrite flareups in the southern Great Basin and other Cenozoic American arcs: A distinct style of arc volcanism: Geosphere, v. 12, no. 4, p. 1097-1135, https://doi.org/10.1130/GES01285.1.","productDescription":"39 p.","startPage":"1097","endPage":"1135","ipdsId":"IP-099383","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01285.1","text":"Publisher Index Page"},{"id":356276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121,\n              36\n            ],\n            [\n              -111,\n              36\n            ],\n            [\n              -111,\n              42\n            ],\n            [\n              -121,\n              42\n            ],\n            [\n              -121,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"5b6fca0fe4b0f5d57878ec8a","contributors":{"authors":[{"text":"Best, Myron G.","contributorId":206800,"corporation":false,"usgs":false,"family":"Best","given":"Myron","email":"","middleInitial":"G.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":741801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiansen, Eric H.","contributorId":206801,"corporation":false,"usgs":false,"family":"Christiansen","given":"Eric","email":"","middleInitial":"H.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":741802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Silva, Shanaka","contributorId":206802,"corporation":false,"usgs":false,"family":"de Silva","given":"Shanaka","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":741803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274498,"text":"70274498 - 2016 - The Aleutian-Bering Climate Vulnerability Assessment","interactions":[],"lastModifiedDate":"2026-03-27T16:32:59.31477","indexId":"70274498","displayToPublicDate":"2016-01-01T11:25:33","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9141,"text":"Final Report","active":true,"publicationSubtype":{"id":2}},"title":"The Aleutian-Bering Climate Vulnerability Assessment","docAbstract":"<p>Recent efforts to develop downscaled climate projections for the Bering Sea and Aleutians created an opportunity to better assess regional vulnerability to climate change. The Aleutian Bering<br>Climate Vulnerability Assessment (ABCVA) was launched in 2014 to bring together regional science expertise and stakeholder interests in a rapid evaluation of the implications of future climate&nbsp;projections. This effort followed an internationally accepted but flexible pathway to develop practical, priority research topics that address ecosystem and community vulnerabilities. The<br>ABCVA was completed as a partnership between the Aleutian and Bering Sea Islands Landscape Conservation Cooperative (ABSI LCC), the Alaska Climate Science Center and the Alaska Ocean&nbsp;Observing System (AOOS), and ultimately brought together three linked objectives:&nbsp;</p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\"><br>1. identify and assess selected climate vulnerabilities of key resources and ecosystem services in the Aleutian Islands and Bering Sea region<br>2. broadly engage managers and stakeholders about the implications of climate vulnerabilities in the region<br>3. help ABSI LCC and the Alaska Climate Science Center and AOOS prioritize future research investments and focus</p><p><br>The ABCVA convened a group of 30 researchers with expertise ranging from anthropology to zooplankton to review climate projections and their implications for the Aleutians and Bering Sea.<br>These experts worked in five topic-based teams to assess vulnerabilities of species and ecosystem services relative. Each team identified initial vulnerabilities and made recommendations for further research that would help managers and communities better understand the implications of the changing climate in this region.&nbsp;</p>","language":"English","publisher":"Aleutian and Bering Sea Islands Landscape Conservation Cooperative","usgsCitation":"2016, The Aleutian-Bering Climate Vulnerability Assessment: Final Report, 145 p.","productDescription":"145 p.","ipdsId":"IP-097178","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":501719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501706,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://adaptalaska.org/case-study/aleutian-and-bering-climate-vulnerability-assessment/"}],"country":"Russia, United States","otherGeospatial":"Aleutian and Bering Sea Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140,\n              65.613578976203\n            ],\n            [\n              -179.98,\n              65.613578976203\n            ],\n            [\n              -179.9,\n              51\n            ],\n            [\n              -140,\n              51\n            ],\n            [\n              -140,\n              65.613578976203\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              165.52542194969215,\n              56.17554876625499\n            ],\n            [\n              165.52542194969215,\n              50.927663868798106\n            ],\n            [\n              179.9,\n              50.927663868798106\n            ],\n            [\n              179.9,\n              56.17554876625499\n            ],\n            [\n              165.52542194969215,\n              56.17554876625499\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Poe, Aaron","contributorId":222315,"corporation":false,"usgs":false,"family":"Poe","given":"Aaron","email":"","affiliations":[{"id":40518,"text":"Aleutian and Bering Sea Islands LCC U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958066,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"van Pelt, Thomas I.","contributorId":368876,"corporation":false,"usgs":false,"family":"van Pelt","given":"Thomas","middleInitial":"I.","affiliations":[{"id":87667,"text":"Transboundary Ecologic, LLC","active":true,"usgs":false}],"preferred":false,"id":958067,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":958068,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70200941,"text":"70200941 - 2016 - Invasive pythons, not anthropogenic stressors, explain the distribution of a keystone species","interactions":[],"lastModifiedDate":"2018-11-16T11:18:13","indexId":"70200941","displayToPublicDate":"2016-01-01T11:18:04","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Invasive pythons, not anthropogenic stressors, explain the distribution of a keystone species","docAbstract":"<p><span>Untangling the causes of native species loss in human-modified systems is difficult and often controversial. Evaluating the impact of non-native species in these systems is particularly challenging, as additional human perturbations often precede or accompany introductions. One example is the ongoing debate over whether mammal declines within Everglades National Park (ENP) were caused by either the establishment of non-native Burmese pythons (</span><i class=\"EmphasisTypeItalic \">Python molurus bivittatus</i><span>) or the effects of other anthropogenic stressors. We examined the influence of both pythons and a host of alternative stressors—altered hydrology and habitat characteristics, mercury contamination and development—on the distribution of the marsh rabbit (</span><i class=\"EmphasisTypeItalic \">Sylvilagus palustris</i><span>), a once common mammal in ENP. Distance from the epicenter of the python invasion best explained marsh rabbit occurrence in suitable habitat patches, whereas none of the alternative stressors considered could explain marsh rabbit distribution. Estimates of the probability of marsh rabbit occurrence ranged from 0 at the python invasion epicenter to nearly 1.0 150&nbsp;km from the invasion epicenter. These results support the hypothesis that invasive pythons shape the distribution of marsh rabbits in southern Florida. The loss of marsh rabbits and similar species will likely alter trophic interactions and ecosystem function within the Everglades, an internationally important hotspot of biodiversity. Further, our results suggest that non-native species can have profound impacts on mainland biodiversity.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1221-3","usgsCitation":"Sovie, A.R., McCleery, R.A., Fletcher, R.J., and Hart, K.M., 2016, Invasive pythons, not anthropogenic stressors, explain the distribution of a keystone species: Biological Invasions, v. 18, no. 11, p. 3309-3318, https://doi.org/10.1007/s10530-016-1221-3.","productDescription":"10 p.","startPage":"3309","endPage":"3318","ipdsId":"IP-065121","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":359512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.012939453125,\n              24.407137917727667\n            ],\n            [\n              -79.991455078125,\n              24.407137917727667\n            ],\n            [\n              -79.991455078125,\n              27.254629577800063\n            ],\n            [\n              -82.012939453125,\n              27.254629577800063\n            ],\n            [\n              -82.012939453125,\n              24.407137917727667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"5befe5bde4b045bfcadf7f4e","contributors":{"authors":[{"text":"Sovie, Adia R.","contributorId":197424,"corporation":false,"usgs":false,"family":"Sovie","given":"Adia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":751411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":751412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Robert J. 0000-0003-1717-5707","orcid":"https://orcid.org/0000-0003-1717-5707","contributorId":195795,"corporation":false,"usgs":false,"family":"Fletcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":751413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":751410,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70164444,"text":"70164444 - 2016 - Along-strike variations in fault frictional properties along the San Andreas Fault near Cholame, California from joint earthquake and low-frequency earthquake relocations","interactions":[],"lastModifiedDate":"2017-01-03T15:56:54","indexId":"70164444","displayToPublicDate":"2016-01-01T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Along-strike variations in fault frictional properties along the San Andreas Fault near Cholame, California from joint earthquake and low-frequency earthquake relocations","docAbstract":"<p>Recent observations of low‐frequency earthquakes (LFEs) and tectonic tremor along the Parkfield&ndash;Cholame segment of the San Andreas fault suggest slow‐slip earthquakes occur in a transition zone between the shallow fault, which accommodates slip by a combination of aseismic creep and earthquakes (&lt;15&thinsp;&thinsp;km depth), and the deep fault, which accommodates slip by stable sliding (&gt;35&thinsp;&thinsp;km depth). However, the spatial relationship between shallow earthquakes and LFEs remains unclear. Here, we present precise relocations of 34 earthquakes and 34 LFEs recorded during a temporary deployment of 13 broadband seismic stations from May 2010 to July 2011. We use the temporary array waveform data, along with data from permanent seismic stations and a new high‐resolution 3D velocity model, to illuminate the fine‐scale details of the seismicity distribution near Cholame and the relation to the distribution of LFEs. The depth of the boundary between earthquakes and LFE hypocenters changes along strike and roughly follows the 350&deg;C isotherm, suggesting frictional behavior may be, in part, thermally controlled. We observe no overlap in the depth of earthquakes and LFEs, with an &sim;5&thinsp;&thinsp;km separation between the deepest earthquakes and shallowest LFEs. In addition, clustering in the relocated seismicity near the 2004 <i>M</i><sub>w</sub> 6.0 Parkfield earthquake hypocenter and near the northern boundary of the 1857 <i>M</i><sub>w</sub> 7.8 Fort Tejon rupture may highlight areas of frictional heterogeneities on the fault where earthquakes tend to nucleate.</p>","language":"English","publisher":"Seismological Society of Amercia","doi":"10.1785/0120150171","usgsCitation":"Harrington, R., Cochran, E.S., Griffiths, E.M., Zeng, X., and Thurber, C.H., 2016, Along-strike variations in fault frictional properties along the San Andreas Fault near Cholame, California from joint earthquake and low-frequency earthquake relocations: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 319-326, https://doi.org/10.1785/0120150171.","productDescription":"8 p.","startPage":"319","endPage":"326","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066396","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":316595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70202285,"text":"70202285 - 2016 - Management-driven science synthesis: An evaluation of Everglades restoration trajectories","interactions":[],"lastModifiedDate":"2019-02-20T11:02:00","indexId":"70202285","displayToPublicDate":"2016-01-01T10:59:43","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Management-driven science synthesis: An evaluation of Everglades restoration trajectories","docAbstract":"The Synthesis of Everglades Restoration andEcosystem Services (SERES) Project was funded in 2010 by the U.S. Department of Interior (DOI) through the Critical Ecosystem Studies Initiative (CESI) and established to synthesize the ever-growing body of Everglades scientific information with the goal of addressing topics that have hampered restoration since the Comprehensive Everglades Restoration Plan (CERP) was passed in 2000. A distinguishing characteristic of this synthesis effort was that the target end-user was a management/\ndecision-maker audience. Specifically, the aim was to address the questions of the water managers and other decision leaders in a way that would illuminate and inform but not constrain or specify decisions. Since its inception, the SERES Project has been managed by the Everglades Foundation; however, a core group of scientifc experts from agencies, academic institutions, and the private sector have contributed to the project (see list on page 4). We\nbegan the project by interviewing key officials, including resource managers, decision-makers, and heads of agencies and environmental organizations. The objective of these interviews was to establish the Key Science Management Questions that needed to be addressed in order to advance restoration of the Everglades. The resulting questions led to the organization of project teams focused on Hydrology, Water Quality, Soils, Trophic Dynamics, and Landscape\nPattern. In order to establish the technical basis for the project, we conducted in depth reviews of the recent scientifc literature, evaluation tools and models, and available data in each of these core areas. Finally, we developed a suite of restoration options that would aid us in addressing the Key Questions and evaluated their relative performance from hydrological, ecological, and economic perspectives. 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