{"pageNumber":"936","pageRowStart":"23375","pageSize":"25","recordCount":184617,"records":[{"id":70192179,"text":"70192179 - 2017 - Assessment of the potential respiratory hazard of volcanic ash from future Icelandic eruptions: A study of archived basaltic to rhyolitic ash samples","interactions":[],"lastModifiedDate":"2017-10-22T17:09:24","indexId":"70192179","displayToPublicDate":"2017-10-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5522,"text":"Environmental Health","onlineIssn":"1476-069X","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of the potential respiratory hazard of volcanic ash from future Icelandic eruptions: A study of archived basaltic to rhyolitic ash samples","docAbstract":"<p><strong>Background</strong></p><p>The eruptions of Eyjafjallajökull (2010) and Grímsvötn (2011), Iceland, triggered immediate, international consideration of the respiratory health hazard of inhaling volcanic ash, and prompted the need to estimate the potential hazard posed by future eruptions of Iceland’s volcanoes to Icelandic and Northern European populations.</p><p>&nbsp;</p><p><strong>Methods</strong></p><p>A physicochemical characterization and toxicological assessment was conducted on a suite of archived ash samples spanning the spectrum of past eruptions (basaltic to rhyolitic magmatic composition) of Icelandic volcanoes following a protocol specifically designed by the International Volcanic Health Hazard Network.</p><p>&nbsp;</p><p><strong>Results</strong></p><p>Icelandic ash can be of a respirable size (up to 11.3 vol.% &lt; 4 μm), but the samples did not display physicochemical characteristics of pathogenic particulate in terms of composition or morphology. Ash particles were generally angular, being composed of fragmented glass and crystals. Few fiber-like particles were observed, but those present comprised glass or sodium oxides, and are not related to pathogenic natural fibers, like asbestos or fibrous zeolites, thereby limiting concern of associated respiratory diseases. None of the samples contained cristobalite or tridymite, and only one sample contained quartz, minerals of interest due to the potential to cause silicosis. Sample surface areas are low, ranging from 0.4 to 1.6 m2 g−1, which aligns with analyses on ash from other eruptions worldwide. All samples generated a low level of hydroxyl radicals (HO•), a measure of surface reactivity, through the iron-catalyzed Fenton reaction compared to concurrently analyzed comparative samples. However, radical generation increased after ‘refreshing’ sample surfaces, indicating that newly erupted samples may display higher reactivity. A composition-dependent range of available surface iron was measured after a 7-day incubation, from 22.5 to 315.7 μmol m−2, with mafic samples releasing more iron than silicic samples. All samples were non-reactive in a test of red blood cell-membrane damage.</p><p>&nbsp;</p><p><strong>Conclusions</strong></p><p>The primary particle-specific concern is the potential for future eruptions of Iceland’s volcanoes to generate fine, respirable material and, thus, to increase ambient PM concentrations. This particularly applies to highly explosive silicic eruptions, but can also hold true for explosive basaltic eruptions or discrete events associated with basaltic fissure eruptions.</p>","language":"English","publisher":"BioMed Central","doi":"10.1186/s12940-017-0302-9","usgsCitation":"Damby, D., Horwell, C.J., Larsen, G., Thordarson, T., Tomatis, M., Fubini, B., and Donaldson, K., 2017, Assessment of the potential respiratory hazard of volcanic ash from future Icelandic eruptions: A study of archived basaltic to rhyolitic ash samples: Environmental Health, v. 16, no. 98, 15 p., https://doi.org/10.1186/s12940-017-0302-9.","productDescription":"15 p.","ipdsId":"IP-085434","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469419,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12940-017-0302-9","text":"Publisher Index Page"},{"id":347070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-11","publicationStatus":"PW","scienceBaseUri":"59edae0ce4b0220bbd975834","contributors":{"authors":[{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":714586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, Gudrun","contributorId":197924,"corporation":false,"usgs":false,"family":"Larsen","given":"Gudrun","email":"","affiliations":[{"id":35089,"text":"Institute of Earth Sciences, Nordvulk, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":714587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thordarson, Thorvaldur","contributorId":197925,"corporation":false,"usgs":false,"family":"Thordarson","given":"Thorvaldur","email":"","affiliations":[{"id":35089,"text":"Institute of Earth Sciences, Nordvulk, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":714588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tomatis, Maura","contributorId":197926,"corporation":false,"usgs":false,"family":"Tomatis","given":"Maura","email":"","affiliations":[{"id":35090,"text":"Dipartimento di Chimica, “G. Scansetti” Interdepartmental Center for Studies on Asbestos and other Toxic Particulates, Università degli Studi di Torino","active":true,"usgs":false}],"preferred":false,"id":714589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fubini, Bice","contributorId":197927,"corporation":false,"usgs":false,"family":"Fubini","given":"Bice","email":"","affiliations":[{"id":35090,"text":"Dipartimento di Chimica, “G. Scansetti” Interdepartmental Center for Studies on Asbestos and other Toxic Particulates, Università degli Studi di Torino","active":true,"usgs":false}],"preferred":false,"id":714590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Donaldson, Ken","contributorId":197928,"corporation":false,"usgs":false,"family":"Donaldson","given":"Ken","email":"","affiliations":[{"id":35078,"text":"The University of Edinburgh/MRC Centre for Inflammation Research, Edinburgh, UK","active":true,"usgs":false}],"preferred":false,"id":714591,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70217866,"text":"70217866 - 2017 - A newly identified role of the deciduous forest floor in the timing of green‐up","interactions":[],"lastModifiedDate":"2021-02-08T13:38:48.640962","indexId":"70217866","displayToPublicDate":"2017-10-20T07:33:19","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6495,"text":"JGR: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"A newly identified role of the deciduous forest floor in the timing of green‐up","docAbstract":"<p><span>Plant phenology studies rarely consider controlling factors other than air temperature. We evaluate here the potential significance of physical and chemical properties of soil (edaphic factors) as additional important controls on phenology. More specifically, we investigate causal connections between satellite‐observed green‐up dates of small forest watersheds and soil properties in the Adirondack Mountains of New York, USA. Contrary to the findings of previous studies, where edaphic controls of spring phenology were found to be marginal, our analyses show that at least three factors manifest themselves as significant controls of seasonal patterns of variation in vegetated land surfaces observed from remote sensing: (1) thickness of the forest floor, (2) concentration of exchangeable soil potassium, and (3) soil acidity. For example, a thick forest floor appears to delay the onset of green‐up. Watersheds with elevated concentrations of potassium are associated with early surface greening. We also found that trees growing in strongly acidified watersheds demonstrate delayed green‐up dates. Overall, our work demonstrates that, at the scale of small forest watersheds, edaphic factors can explain a significant percentage of the observed spatial variation in land surface phenology that is comparable to the percentage that can be explained by climatic and landscape factors. We conclude that physical and chemical properties of forest soil play important roles in forest ecosystems as modulators of climatic drivers controlling the rate of spring soil warming and the transition of trees out of winter dormancy.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JG004073","usgsCitation":"Lapenis, A.G., Lawrence, G.B., Buyantuev, A., Jiang, S., Sullivan, T.J., McDonnell, T.C., and Bailey, S.W., 2017, A newly identified role of the deciduous forest floor in the timing of green‐up: JGR: Biogeosciences, v. 122, no. 11, p. 2876-2891, https://doi.org/10.1002/2017JG004073.","productDescription":"16 p.","startPage":"2876","endPage":"2891","ipdsId":"IP-080375","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469421,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004073","text":"Publisher Index Page"},{"id":383087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"New York","otherGeospatial":"central New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.3330078125,\n              42.65012181368022\n            ],\n            [\n              -74.970703125,\n              42.65012181368022\n            ],\n            [\n              -74.970703125,\n              43.389081939117496\n            ],\n            [\n              -76.3330078125,\n              43.389081939117496\n            ],\n            [\n              -76.3330078125,\n              42.65012181368022\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"11","noUsgsAuthors":false,"publicationDate":"2017-11-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Lapenis, Andrei G 0000-0002-2135-3636","orcid":"https://orcid.org/0000-0002-2135-3636","contributorId":248818,"corporation":false,"usgs":false,"family":"Lapenis","given":"Andrei","email":"","middleInitial":"G","affiliations":[{"id":50026,"text":"Dept of Geography & Planning, SUNY Albany, NY","active":true,"usgs":false}],"preferred":false,"id":809976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buyantuev, Alexander","contributorId":248819,"corporation":false,"usgs":false,"family":"Buyantuev","given":"Alexander","affiliations":[{"id":50027,"text":"Assistant Professor, Dept of Geography & Planning, SUNY Albany, NY","active":true,"usgs":false}],"preferred":false,"id":809978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jiang, Shiguo 0000-0001-9088-883X","orcid":"https://orcid.org/0000-0001-9088-883X","contributorId":244799,"corporation":false,"usgs":false,"family":"Jiang","given":"Shiguo","email":"","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":809979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":809980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonnell, Todd C. 0000-0002-5231-105X","orcid":"https://orcid.org/0000-0002-5231-105X","contributorId":196721,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":809981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":178217,"corporation":false,"usgs":false,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":809982,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191807,"text":"sir20175097 - 2017 - Simulation of groundwater and surface-water flow in the upper Deschutes Basin, Oregon","interactions":[],"lastModifiedDate":"2017-10-23T11:30:00","indexId":"sir20175097","displayToPublicDate":"2017-10-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5097","title":"Simulation of groundwater and surface-water flow in the upper Deschutes Basin, Oregon","docAbstract":"<p class=\"p1\">This report describes a hydrologic model for the upper Deschutes Basin in central Oregon developed using the U.S. Geological Survey (USGS) integrated Groundwater and Surface-Water Flow model (GSFLOW). The upper Deschutes Basin, which drains much of the eastern side of the Cascade Range in Oregon, is underlain by large areas of permeable volcanic rock. That permeability, in combination with the large annual precipitation at high elevations, results in a substantial regional aquifer system and a stream system that is heavily groundwater dominated.</p><p class=\"p1\">The upper Deschutes Basin is also an area of expanding population and increasing water demand for public supply and agriculture. Surface water was largely developed for agricultural use by the mid-20th century, and is closed to additional appropriations. Consequently, water users look to groundwater to satisfy the growing demand. The well‑documented connection between groundwater and the stream system, and the institutional and legal restrictions on streamflow depletion by wells, resulted in the Oregon Water Resources Department (OWRD) instituting a process whereby additional groundwater pumping can be permitted only if the effects to streams are mitigated, for example, by reducing permitted surface-water diversions. Implementing such a program requires understanding of the spatial and temporal distribution of effects to streams from groundwater pumping. A groundwater model developed in the early 2000s by the USGS and OWRD has been used to provide insights into the distribution of streamflow depletion by wells, but lacks spatial resolution in sensitive headwaters and spring areas.</p><p class=\"p1\">The integrated model developed for this project, based largely on the earlier model, has a much finer grid spacing allowing resolution of sensitive headwater streams and important spring areas, and simulates a more complete set of surface processes as well as runoff and groundwater flow. In addition, the integrated model includes improved representation of subsurface geology and explicitly simulates the effects of hydrologically important fault zones not included in the previous model.</p><p class=\"p2\">The upper Deschutes Basin GSFLOW model was calibrated using an iterative trial and error approach using measured water-level elevations (water levels) from 800 wells, 144 of which have time series of 10 or more measurements. Streamflow was calibrated using data from 21 gage locations. At 14 locations where measured flows are heavily influenced by reservoir operations and irrigation diversions, so called “<i>naturalized</i>” flows, with the effects of reservoirs and diversion removed, developed by the Bureau of Reclamation, were used for calibration. Surface energy and moisture processes such as solar radiation, snow accumulation and melting, and evapotranspiration were calibrated using national datasets as well as data from long-term measurement sites in the basin. The calibrated Deschutes GSFLOW model requires daily precipitation, minimum and maximum air temperature data, and monthly data describing groundwater pumping and artificial recharge from leaking irrigation canals (which are a significant source of groundwater recharge).</p><p class=\"p2\">The calibrated model simulates the geographic distribution of hydraulic head over the 5,000 ft range measured in the basin, with a median absolute residual of about 53 ft. Temporal variations in head resulting from climate cycles, pumping, and canal leakage are well simulated over the model area. Simulated daily streamflow matches gaged flows or calculated naturalized flows for streams including the Crooked and Metolius Rivers, and lower parts of the mainstem Deschutes River. Seasonal patterns of runoff are less well fit in some upper basin streams. Annual water balances of streamflow are good over most of the model domain. Model fit and overall capabilities are appropriate for the objectives of the project.</p><p class=\"p2\">The integrated model results confirm findings from other studies and models indicating that most streamflow in the upper Deschutes Basin comes directly from groundwater discharge. The integrated model provides additional insights about the components of streamflow including direct groundwater discharge to streams, interflow, groundwater discharge to the land surface (Dunnian flow), and direct runoff (Hortonian flow). The new model provides improved capability for exploring the timing and distribution of&nbsp;</p><p class=\"p1\">streamflow capture by wells, and the hydrologic response to changes in other external stresses such as canal operation, irrigation, and drought. Because the model uses basic meteorological data as the primary input; and simulates surface energy and moisture balances, groundwater recharge and flow, and all components of streamflow; it is well suited for exploring the hydrologic response to climate change, although no such simulations are included in this report.</p><p class=\"p1\">The model was developed as a tool for future application; however, example simulations are provided in this report. In the example simulations, the model is used to explore the influence of well location and geologic structure on stream capture by pumping wells. Wells were simulated at three locations within a 12-mi area close to known groundwater discharge areas and crossed by a regional fault zone. Simulations indicate that the magnitude and timing of stream capture from pumping is largely controlled by the geographic location of the wells, but that faults can have a large influence on the propagation of pumping stresses.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175097","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Gannett, M.W., Lite, K.E., Jr., Risley, J.C., Pischel, E.M., and La Marche, J.L., 2017, Simulation of groundwater and surface-water flow in the upper Deschutes Basin, Oregon: U.S. Geological Survey Scientific Investigations Report 2017-5097, 68 p., https://doi.org/10.3133/sir20175097.","productDescription":"Report: viii, 68 p.; Model Archive","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-085102","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":347011,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.5066/F7154F9K","text":"Model Archive","description":"SIR 2017-5097 Model Archive"},{"id":346984,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5097/coverthb.jpg"},{"id":346985,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5097/sir20175097.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5097"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Deschutes Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.19268798828126,\n              43.395069512861355\n            ],\n            [\n              -120.7452392578125,\n              43.395069512861355\n            ],\n            [\n              -120.7452392578125,\n              44.939529212272305\n            ],\n            [\n              -122.19268798828126,\n              44.939529212272305\n            ],\n            [\n              -122.19268798828126,\n              43.395069512861355\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://or.water.usgs.gov\" target=\"blank\" data-mce-href=\"https://or.water.usgs.gov\">Oregon Water Science Center</a><br> U.S. Geological Survey<br> 2130 SW 5th Avenue<br> Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Hydrogeology<br></li><li>Simulation Model<br></li><li>Model Calibration<br></li><li>Model Fit<br></li><li>Evaluating Effects of Proximity and Geologic Structure on Changes in Springs and Streamflow Resulting from Groundwater Pumping<br></li><li>Model Limitations<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-10-20","noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"59eb0b2de4b0026a55fe2ef6","contributors":{"authors":[{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lite, Kenneth E. Jr.","contributorId":37373,"corporation":false,"usgs":true,"family":"Lite","given":"Kenneth","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pischel, Esther M. 0000-0002-0393-6993 epischel@usgs.gov","orcid":"https://orcid.org/0000-0002-0393-6993","contributorId":5508,"corporation":false,"usgs":true,"family":"Pischel","given":"Esther","email":"epischel@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Marche, Jonathan L.","contributorId":197340,"corporation":false,"usgs":false,"family":"La Marche","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":713210,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192101,"text":"fs20173071 - 2017 - The Volcano Disaster Assistance Program—Helping to save lives worldwide for more than 30 years","interactions":[],"lastModifiedDate":"2018-04-19T12:59:33","indexId":"fs20173071","displayToPublicDate":"2017-10-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3071","title":"The Volcano Disaster Assistance Program—Helping to save lives worldwide for more than 30 years","docAbstract":"<p class=\"p2\">What do you do when a sleeping volcano roars back to life? For more than three decades, countries around the world have called upon the U.S. Geological Survey’s (USGS) Volcano Disaster Assistance Program (VDAP) to contribute expertise and equipment in times of crisis. Co-funded by the USGS and the U.S. Agency for International Development’s Office of U.S. Foreign Disaster Assistance (USAID/OFDA), VDAP has evolved and grown over the years, adding newly developed monitoring technologies, training and exchange programs, and eruption forecasting methodologies to greatly expand global capabilities that mitigate the impacts of volcanic hazards. These advances, in turn, strengthen the ability of the United States to respond to its own volcanic events.</p><p class=\"p2\">VDAP was formed in 1986 in response to the devastating volcanic mudflow triggered by an eruption of Nevado del Ruiz volcano in Colombia. The mudflow destroyed the city of Armero on the night of November 13, 1985, killing more than 25,000 people in the city and surrounding areas. Sadly, the tragedy was avoidable. Better education of the local population and clear communication between scientists and public officials could have allowed warnings to be received, understood, and acted upon prior to the disaster.</p><p class=\"p3\">VDAP strives to ensure that such a tragedy will never happen again. The program’s mission is to assist foreign partners, at their request, in volcano monitoring and empower them to take the lead in mitigating hazards at their country’s threatening volcanoes. Since 1986, team members have responded to over 70 major volcanic crises at more than 50 volcanoes and have strengthened response capacity in 12 countries. The VDAP team consists of approximately 20 geologists, geophysicists, and engineers, who are based out of the USGS Cascades Volcano Observatory in Vancouver, Washington. In 2016, VDAP was a finalist for the Samuel J. Heyman Service to America Medal for its work in improving volcano readiness and warning systems worldwide, helping countries to forecast eruptions, save lives, and reduce economic losses while enhancing America’s ability to respond to domestic volcanic events.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173071","collaboration":"Prepared in cooperation with U.S. Agency for International Development, Office of Foreign Disaster Assistance","usgsCitation":"Lowenstern, J.B., and Ramsey, D.W., 2017, The Volcano Disaster Assistance Program—Helping to save lives worldwide for more than 30 years: U.S. Geological Survey Fact Sheet 2017–3071, 6 p., https://doi.org/10.3133/fs20173071.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-086348","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":347048,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3071/coverthb_.jpg"},{"id":347049,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3071/fs20173071.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3071"}],"contact":"<p><a href=\"https://volcanoes.usgs.gov/vdap/\" data-mce-href=\"https://volcanoes.usgs.gov/vdap/\">Volcano Disaster Assistance Program </a><br><a href=\"https://usgs.gov\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>David A. Johnston Cascades Volcano Observatory <br>1300 SE Cardinal Court, Bldg 10, Suite 100 <br>Vancouver, Washington, 98683-9589</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-10-20","noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"59eb0b2ae4b0026a55fe2ef0","contributors":{"authors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":714234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":714235,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190006,"text":"ofr20171100 - 2017 - Southern Great Plains Rapid Ecoregional assessment—Volume I. Ecological communities","interactions":[],"lastModifiedDate":"2017-10-23T11:18:00","indexId":"ofr20171100","displayToPublicDate":"2017-10-19T16:55:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1100","title":"Southern Great Plains Rapid Ecoregional assessment—Volume I. Ecological communities","docAbstract":"<p>The Southern Great Plains Rapid Ecoregional Assessment was conducted in partnership with the Bureau of Land Management (BLM) and the&nbsp;<span>Great Plains Landscape Conservation Cooperative</span>. The overall goal of the Rapid Ecoregional Assessments (REAs) is to compile and synthesize regional datasets to facilitate evaluation of the cumulative effects of change agents on priority ecological communities and species. In particular, the REAs identify and map the distribution of communities and wildlife habitats at broad spatial extents and provide assessments of ecological conditions. The REAs also identify where and to what degree ecological resources are currently at risk from change agents, such as development, fire, invasive species, and climate change. The REAs can help managers identify and prioritize potential areas for conservation or restoration, assess cumulative effects as required by the National Environmental Policy Act, and inform landscape-level planning and management decisions for multiple uses of public lands.</p><p>Management questions form the basis for the REA framework and were developed in conjunction with the BLM and other stakeholders. Conservation elements are communities and species that are of regional management concern. Core management questions relate to the key ecological attributes and change agents associated with each conservation element. Integrated management questions synthesize the results of the primary core management questions into overall landscape-level ranks for each conservation element.</p><p>The ecological communities evaluated as conservation elements are shortgrass, mixed-grass, and sand prairies; all grasslands; riparian and nonplaya wetlands; playa wetlands and saline lakes; and prairie streams and rivers. Species and species assemblages evaluated are the freshwater mussel assemblage, Arkansas River shiner (<i>Notropis girardi</i>), ferruginous hawk (<i>Buteo regalis</i>), lesser prairie chicken (<i>Tympanuchus pallidicinctus</i>), snowy plover (<i>Charadrius nivosus</i>), mountain plover (<i>Charadrius montanus</i>), long-billed curlew (<i>Numenius americanus</i>), interior least tern (<i>Sternula antillarum athalassos</i>), burrowing owl (<i>Athene cunicularia hypugaea</i>), black-tailed prairie dog (<i>Cynomys ludovicianus</i>), bat assemblage, swift fox (<i>Vulpes velox</i>), and mule deer (<i>Odocoileus hemionus</i>).</p><p>The Southern Great Plains REA is summarized in a series of three reports and associated datasets. The pre-assessment report (available online at <a href=\"https://pubs.usgs.gov/of/2015/1003/\" data-mce-href=\"https://pubs.usgs.gov/of/2015/1003/\">https://pubs.usgs.gov/of/2015/1003/</a>) summarizes the process used by the REA stakeholders to select management questions, conservation elements, and change agents. It also provides background information for each conservation element. Volume I of the Southern Great Plains REA report (this volume) addresses the ecological communities. Volume II will address the species and species assemblages. All source and derived datasets used to produce the maps and graphs for REAs are available online at the BLM Landscape Approach Data Portal (<a href=\"https://landscape.blm.gov/geoportal/catalog/REAs/REAs.page\" target=\"_blank\" data-mce-href=\"https://landscape.blm.gov/geoportal/catalog/REAs/REAs.page\">https://landscape.blm.gov/geoportal/catalog/REAs/REAs.page</a>).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171100","collaboration":"Prepared in cooperation with the Bureau of Land Management and the Great Plains Landscape Conservation Cooperative","usgsCitation":"Reese, G.C., Burris, Lucy, Carr, N.B., Leinwand, I.I.F., and Melcher, C.P., 2017, Southern Great Plains Rapid Ecoregional assessment—Volume I. Ecological communities: U.S. Geological Survey Open-File Report 2017–1100, 126 p.,  https://doi.org/10.3133/ofr20171100.","productDescription":"xiii, 126 p.","numberOfPages":"144","onlineOnly":"N","ipdsId":"IP-080929","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346770,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1100/coverthb.jpg"},{"id":346771,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1100/ofr20171100.pdf","text":"Report","size":"15.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1100"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, Texas, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.14990234375,\n              30.939924331023445\n            ],\n            [\n              -96.2841796875,\n              30.939924331023445\n            ],\n            [\n              -96.2841796875,\n              43.08493742707592\n            ],\n            [\n              -106.14990234375,\n              43.08493742707592\n            ],\n            [\n              -106.14990234375,\n              30.939924331023445\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;<a href=\"https://www.fort.usgs.gov/\" data-mce-href=\"https://www.fort.usgs.gov/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Building C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Chapter 1. Introduction and Overview</li><li>Chapter 2. Methods Overview</li><li>Chapter 3. Change Agents</li><li>Chapter 4. Grasslands</li><li>Chapter 5. Mixed-Grass Prairie</li><li>Chapter 6. Shortgrass Prairie</li><li>Chapter 7. Sand Prairie</li><li>Chapter 8. Riparian and Nonplaya Wetlands</li><li>Chapter 9. Playa Wetlands and Saline Lakes</li><li>Chapter 10. Prairie Streams and Rivers</li><li>Chapter 11. Data Gaps, Limitations, and Uncertainty</li><li>Appendix A. Methodological Details for Derived Datasets</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-10-19","noUsgsAuthors":false,"publicationDate":"2017-10-19","publicationStatus":"PW","scienceBaseUri":"59e9b98ce4b05fe04cd65c1f","contributors":{"authors":[{"text":"Reese, Gordon C. 0000-0002-5191-7770 greese@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-7770","contributorId":177001,"corporation":false,"usgs":true,"family":"Reese","given":"Gordon C.","email":"greese@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":707114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burris, Lucy","contributorId":49468,"corporation":false,"usgs":true,"family":"Burris","given":"Lucy","affiliations":[],"preferred":false,"id":707115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":707116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leinwand, Ian I.F.","contributorId":176527,"corporation":false,"usgs":false,"family":"Leinwand","given":"Ian I.F.","affiliations":[],"preferred":false,"id":707117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":707118,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179718,"text":"ofr20161208 - 2017 - Seismic velocity site characterization of 10 Arizona strong-motion recording stations by spectral analysis of surface wave dispersion","interactions":[],"lastModifiedDate":"2017-10-23T11:21:13","indexId":"ofr20161208","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1208","title":"Seismic velocity site characterization of 10 Arizona strong-motion recording stations by spectral analysis of surface wave dispersion","docAbstract":"<p>Vertical one-dimensional shear wave velocity (<i>V<sub>S</sub></i>) profiles are presented for strong-motion sites in Arizona for a suite of stations surrounding the Palo Verde Nuclear Generating Station. The purpose of the study is to determine the detailed site velocity profile, the average velocity in the upper 30 meters of the profile (<i>V<sub>S30</sub></i>), the average velocity for the entire profile (<i>V<sub>SZ</sub></i>), and the National Earthquake Hazards Reduction Program (NEHRP) site classification. The<i> V<sub>S</sub></i> profiles are estimated using a non-invasive continuous-sine-wave method for gathering the dispersion characteristics of surface waves. Shear wave velocity profiles were inverted from the averaged dispersion curves using three independent methods for comparison, and the root-mean-square combined coefficient of variation (<i>COV</i>) of the dispersion and inversion calculations are estimated for each site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161208","usgsCitation":"Kayen, R.E., Carkin, B.A., and Corbett, S.C., 2017, Seismic velocity site characterization of 10 Arizona strong-motion recording stations by spectral analysis of surface wave dispersion: U.S. Geological Survey Open-File Report 2016–1208, 32 p., https://doi.org/10.3133/ofr20161208.","productDescription":"32 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-060760","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":347018,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1208/ofr20161208.pdf","text":"Report","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1208"},{"id":347017,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1208/coverthb_.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114,\n              32.3\n            ],\n            [\n              -111.5,\n              32.3\n            ],\n            [\n              -111.5,\n              34.33\n            ],\n            [\n              -114,\n              34.33\n            ],\n            [\n              -114,\n              32.3\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" data-mce-href=\"https://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Director</a>, <br><a href=\"https://walrus.wr.usgs.gov/\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://usgs.gov\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>Pacific Science Center <br>2885 Mission St. <br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Study Sites<br></li><li>Rayleigh Wave Dispersion<br></li><li>Results<br></li><li>References Cited<br></li><li>Appendix 1. Site Data<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-10-19","noUsgsAuthors":false,"publicationDate":"2017-10-19","publicationStatus":"PW","scienceBaseUri":"59e9b992e4b05fe04cd65c4a","contributors":{"authors":[{"text":"Kayen, Robert E. 0000-0002-0356-072X rkayen@usgs.gov","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":140764,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","email":"rkayen@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":658418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carkin, Brad A. 0000-0001-8318-4535 bcarkin@usgs.gov","orcid":"https://orcid.org/0000-0001-8318-4535","contributorId":140937,"corporation":false,"usgs":true,"family":"Carkin","given":"Brad A.","email":"bcarkin@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":658419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corbett, Skye C. 0000-0003-3277-1021 scorbett@usgs.gov","orcid":"https://orcid.org/0000-0003-3277-1021","contributorId":5436,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye","email":"scorbett@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":658420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192018,"text":"70192018 - 2017 - A comparison of four porewater sampling methods for metal mixtures and dissolved organic carbon and the implications for sediment toxicity evaluations","interactions":[],"lastModifiedDate":"2017-11-10T14:11:06","indexId":"70192018","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of four porewater sampling methods for metal mixtures and dissolved organic carbon and the implications for sediment toxicity evaluations","docAbstract":"<p><span>Evaluations of sediment quality conditions are commonly conducted using whole-sediment chemistry analyses but can be enhanced by evaluating multiple lines of evidence, including measures of the bioavailable forms of contaminants. In particular, porewater chemistry data provide information that is directly relevant for interpreting sediment toxicity data. Various methods for sampling porewater for trace metals and dissolved organic carbon (DOC), which is an important moderator of metal bioavailability, have been employed. The present study compares the peeper, push point, centrifugation, and diffusive gradients in thin films (DGT) methods for the quantification of 6 metals and DOC. The methods were evaluated at low and high concentrations of metals in 3 sediments having different concentrations of total organic carbon and acid volatile sulfide and different particle-size distributions. At low metal concentrations, centrifugation and push point sampling resulted in up to 100 times higher concentrations of metals and DOC in porewater compared with peepers and DGTs. At elevated metal levels, the measured concentrations were in better agreement among the 4 sampling techniques. The results indicate that there can be marked differences among operationally different porewater sampling methods, and it is unclear if there is a definitive best method for sampling metals and DOC in porewater.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3884","usgsCitation":"Cleveland, D.M., Brumbaugh, W.G., and MacDonald, D.D., 2017, A comparison of four porewater sampling methods for metal mixtures and dissolved organic carbon and the implications for sediment toxicity evaluations: Environmental Toxicology and Chemistry, v. 36, no. 11, p. 2906-2915, https://doi.org/10.1002/etc.3884.","productDescription":"10 p.","startPage":"2906","endPage":"2915","ipdsId":"IP-085651","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":438184,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HD7SVS","text":"USGS data release","linkHelpText":"A comparison of four pore water sampling methods for mixed metals and dissolved organic carbon, and implications for toxicity evaluations-Data"},{"id":346950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-09","publicationStatus":"PW","scienceBaseUri":"59e9b990e4b05fe04cd65c39","contributors":{"authors":[{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":713847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumbaugh, William G.","contributorId":187473,"corporation":false,"usgs":false,"family":"Brumbaugh","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":713848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacDonald, Donald D.","contributorId":176179,"corporation":false,"usgs":false,"family":"MacDonald","given":"Donald","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":713849,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191874,"text":"ofr20171134 - 2017 - Health and condition of endangered young-of-the-year Lost River and Shortnose suckers relative to water quality in Upper Klamath Lake, Oregon, 2014–2015","interactions":[],"lastModifiedDate":"2017-10-20T13:08:22","indexId":"ofr20171134","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1134","title":"Health and condition of endangered young-of-the-year Lost River and Shortnose suckers relative to water quality in Upper Klamath Lake, Oregon, 2014–2015","docAbstract":"<p>Most mortality of endangered Lost River (<i>Deltistes luxatus</i>) and shortnose (<i>Chasmistes brevirostris</i>) suckers in Upper Klamath Lake, Oregon, occurs within the first year of life. Juvenile suckers in Clear Lake Reservoir, California, survive longer and may even recruit to the spawning populations. In a previous (2013–2014) study, the health and condition of juvenile suckers and the dynamics of water quality between Upper Klamath Lake and Clear Lake Reservoir were compared. That study found that apparent signs of stress or exposure to irritants, such as peribiliary cuffing in liver tissue and mild inflammation and necrosis in gill tissues, were present in suckers from both lakes and were unlikely to be clues to the cause of differential mortality between lakes. Seasonal trends in energy storage as glycogen and triglycerides were also similar between lakes, indicating prey limitation was not a likely factor in differential mortality. To better understand the relationship between juvenile sucker health and water quality, we examined suckers collected in 2014–2015 from Upper Klamath Lake, where water quality can be dynamic and, at times, extreme.</p><p>While there were notable differences in water quality and fish health between years, we were not able to identify any specific water-quality-related causes for differential fish condition. Water quality was generally better in 2014 than in 2015. When considered together afflictions and abnormalities generally indicated healthier suckers in 2014 than 2015. Low dissolved-oxygen events (&lt; 4 milligrams per liter) were less frequent and occurred earlier; high pH events (≥ 9.5) were less frequent and shorter in duration; large diel fluctuations in pH (≥ 1.4) were less frequent; water temperatures were warmer, particularly in July and September; and concentrations of microcystin in both large and small fractions of samples were lower in 2014 than in 2015. Total and therefore also un-ionized ammonia were low in 2014–2015 relative to concentrations known to affect suckers. Petechial hemorrhages of the skin, attached <i>Lernaea</i> spp. and eosinophilic hyaline droplets in the kidney tubules were less prevalent in 2014 than in 2015; however, hyperplastic and hypertrophic gill tissue and trichodinids on the gills were observed more frequently in 2014. There were more suckers with normal liver color and texture in 2014 than in 2015. The prevalence of suckers with liver inflammation was greater in 2014 and only observed in suckers collected after August 5, whereas liver inflammation occurred intermittently in 2015. Liver glycogen among suckers decreased in late-August 2014 and increased from early August to mid-September 2015. Lost River suckers had greater whole-body triglyceride content but a larger proportion with an absence of visceral fat observed in 2014 than in 2015. In contrast, shortnose suckers were similar between years in regard to both whole-body triglyceride and visceral fat. Black-spot-forming parasites (trematode metacercariae) were observed in a higher prevalence on shortnose suckers but not Lost River suckers in 2014 than in 2015. Opercular deformities were less prevalent in both species in 2014 than in 2015.</p><p>Neither gross nor histological examination revealed a high prevalence of abnormalities in suckers that clearly indicate a primary mechanism for juvenile mortality in Upper Klamath Lake. Histological abnormalities were almost always focal and minimal or mild except where associated with parasites. Mild to severe focal abnormalities associated with <i>Lernaea</i> sp. attachment sites and encysted digenean (trematode) metacercariae are unlikely to be associated with mortality. Severe and diffuse inflammation and hyperplasia of the gills associated with<i> Ichthyobodo</i> sp. on one Lost River sucker, may indicate a potential cause of mortality. High mortality may have primarily occurred outside our study period (for example, in spring or over winter), or was caused by a factor that could not be detected with our methods (for example, predation). Alternatively, abnormalities in a small percentage of passively captured suckers in Upper Klamath Lake may indicate health-related issues that were more prevalent in populations than in our samples. Temporary decreases in liver glycogen stores may also indicate periods of stress, which may eventually lead to mortality of young suckers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171134","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Burdick, S.M., Conway, C.M., Elliott, D.G., Hoy, M.S., Dolan-Caret, Amari, and Ostberg, C.O., 2017, Health and condition of endangered young-of-the-year Lost River and shortnose suckers relative to water quality in Upper Klamath Lake, Oregon, 2014–2015: U.S. Geological Survey Open-File Report 2017-1134, 40 p., https://doi.org/10.3133/ofr20171134.","productDescription":"vi, 41 p.","onlineOnly":"Y","ipdsId":"IP-089897","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":347019,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1134/coverthb.jpg"},{"id":347020,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1134/ofr20171134.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1134"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.06634521484374,\n              42.45892719924497\n            ],\n            [\n              -122.08831787109375,\n              42.476148570254516\n            ],\n            [\n              -122.08694458007812,\n              42.465005871175755\n            ],\n 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Area<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion&nbsp;<br></li><li>Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-10-19","noUsgsAuthors":false,"publicationDate":"2017-10-19","publicationStatus":"PW","scienceBaseUri":"59e9b991e4b05fe04cd65c46","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Diane G. 0000-0002-4809-6692 dgelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-6692","contributorId":2947,"corporation":false,"usgs":true,"family":"Elliott","given":"Diane","email":"dgelliott@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoy, Marshal S. 0000-0003-2828-9697 mhoy@usgs.gov","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":3033,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","email":"mhoy@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolan-Caret, Amari 0000-0001-9155-6116 amaridc@usgs.gov","orcid":"https://orcid.org/0000-0001-9155-6116","contributorId":149805,"corporation":false,"usgs":true,"family":"Dolan-Caret","given":"Amari","email":"amaridc@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713499,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191960,"text":"70191960 - 2017 - New interventions are needed to save coral reefs","interactions":[],"lastModifiedDate":"2017-10-19T11:21:07","indexId":"70191960","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"New interventions are needed to save coral reefs","docAbstract":"Since 2014, coral reefs worldwide have been subjected to the most extensive, prolonged and damaging heat wave in recorded history1. Large sections of Australia’s Great Barrier Reef (GBR) bleached in response to heat stress in 2016 and 2017 — the first back-to-back event on record. Such severe coral bleaching results in widespread loss of reef habitat and biodiversity. Globally, we are facing catastrophic decline of these ecosystems, which sustain services valued at around $US 10 trillion per year2, are home to over a million species3, and feed and support the livelihoods of hundreds of millions of people4. \nModel predictions indicate that mass coral bleaching could become the new norm by 2050 (ref. 5). Critically, even if global warming can be kept within 1.5⁰C above preindustrial levels, shallow tropical seas would warm at least 0.4°C in coming decades, triggering frequent bleaching of the most sensitive habitat-forming coral species6. This outlook poses a time-critical decision challenge for management and conservation. Existing conservation approaches, despite innovative governance arrangements7, could simply become insufficient to protect coral reefs under any expected climate future. Thus, for coral reefs to remain resilient and their services sustained, we argue that new and potentially riskier interventions must be implemented alongside conventional management efforts and strong action to curb global warming. We build the case for this strategy below.","language":"English","publisher":"Nature","doi":"10.1038/s41559-017-0313-5","usgsCitation":"Anthony, K., Bay, L.K., Costanza, R., Firn, J., Gunn, J., Harrison, P., Heyward, A., Lundgren, P., Mead, D., Moore, T., Mumby, P.J., van Oppen, M.J., Robertson, J., Runge, M.C., Suggett, D.J., Schaffelke, B., Wachenfeld, D., and Walshe, T., 2017, New interventions are needed to save coral reefs: Nature Ecology & Evolution, v. 1, p. 1420-1422, https://doi.org/10.1038/s41559-017-0313-5.","productDescription":"3 p.","startPage":"1420","endPage":"1422","ipdsId":"IP-089592","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":346954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"59e9b991e4b05fe04cd65c3e","contributors":{"authors":[{"text":"Anthony, Ken","contributorId":197585,"corporation":false,"usgs":false,"family":"Anthony","given":"Ken","email":"","affiliations":[],"preferred":false,"id":713919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bay, Line K.","contributorId":197605,"corporation":false,"usgs":false,"family":"Bay","given":"Line","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":713920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costanza, Robert","contributorId":93950,"corporation":false,"usgs":true,"family":"Costanza","given":"Robert","email":"","affiliations":[],"preferred":false,"id":713921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Firn, Jennifer","contributorId":66405,"corporation":false,"usgs":false,"family":"Firn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":713922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gunn, John","contributorId":197606,"corporation":false,"usgs":false,"family":"Gunn","given":"John","affiliations":[],"preferred":false,"id":713923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harrison, Peter","contributorId":197607,"corporation":false,"usgs":false,"family":"Harrison","given":"Peter","affiliations":[],"preferred":false,"id":713924,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyward, Andrew","contributorId":197608,"corporation":false,"usgs":false,"family":"Heyward","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":713925,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lundgren, Petra","contributorId":197621,"corporation":false,"usgs":false,"family":"Lundgren","given":"Petra","email":"","affiliations":[],"preferred":false,"id":713926,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mead, David","contributorId":197622,"corporation":false,"usgs":false,"family":"Mead","given":"David","email":"","affiliations":[],"preferred":false,"id":713927,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, Tom","contributorId":197586,"corporation":false,"usgs":false,"family":"Moore","given":"Tom","email":"","affiliations":[],"preferred":false,"id":713928,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mumby, Peter J.","contributorId":175366,"corporation":false,"usgs":false,"family":"Mumby","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713929,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van Oppen, Madeleine J. H.","contributorId":197623,"corporation":false,"usgs":false,"family":"van Oppen","given":"Madeleine","email":"","middleInitial":"J. H.","affiliations":[],"preferred":false,"id":713930,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Robertson, John","contributorId":197624,"corporation":false,"usgs":false,"family":"Robertson","given":"John","affiliations":[],"preferred":false,"id":713931,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":713932,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Suggett, David J.","contributorId":197625,"corporation":false,"usgs":false,"family":"Suggett","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713933,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schaffelke, Britta","contributorId":197626,"corporation":false,"usgs":false,"family":"Schaffelke","given":"Britta","email":"","affiliations":[],"preferred":false,"id":713934,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wachenfeld, David","contributorId":197627,"corporation":false,"usgs":false,"family":"Wachenfeld","given":"David","email":"","affiliations":[],"preferred":false,"id":713935,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Walshe, Terry","contributorId":194959,"corporation":false,"usgs":false,"family":"Walshe","given":"Terry","email":"","affiliations":[],"preferred":false,"id":713936,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70192640,"text":"70192640 - 2017 - Endemic chronic wasting disease causes mule deer population decline in Wyoming","interactions":[],"lastModifiedDate":"2017-10-30T10:33:44","indexId":"70192640","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Endemic chronic wasting disease causes mule deer population decline in Wyoming","docAbstract":"<p><span>Chronic wasting disease (CWD) is a fatal transmissible spongiform encephalopathy affecting white-tailed deer (</span><i>Odocoileus virginianus</i><span>), mule deer (</span><i>Odocoileus hemionus</i><span>), Rocky Mountain elk (</span><i>Cervus elaphus nelsoni</i><span>), and moose (</span><i>Alces alces shirasi)</i><span><span>&nbsp;</span>in North America. In southeastern Wyoming average annual CWD prevalence in mule deer exceeds 20% and appears to contribute to regional population declines. We determined the effect of CWD on mule deer demography using age-specific, female-only, CWD transition matrix models to estimate the population growth rate (</span><i>λ</i><span>). Mule deer were captured from 2010–2014 in southern Converse County Wyoming, USA. Captured adult (≥ 1.5 years old) deer were tested ante-mortem for CWD using tonsil biopsies and monitored using radio telemetry. Mean annual survival rates of CWD-negative and CWD-positive deer were 0.76 and 0.32, respectively. Pregnancy and fawn recruitment were not observed to be influenced by CWD. We estimated<span>&nbsp;</span></span><i>λ</i><span>= 0.79, indicating an annual population decline of 21% under current CWD prevalence levels. A model derived from the demography of only CWD-negative individuals yielded;<span>&nbsp;</span></span><i>λ</i><span><span>&nbsp;</span>= 1.00, indicating a stable population if CWD were absent. These findings support CWD as a significant contributor to mule deer population decline. Chronic wasting disease is difficult or impossible to eradicate with current tools, given significant environmental contamination, and at present our best recommendation for control of this disease is to minimize spread to new areas and naïve cervid populations.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0186512","usgsCitation":"DeVivo, M., Edmunds, D.R., Kauffman, M., Schumaker, B.A., Binfet, J., Kreeger, T.J., Richards, B.J., Schatzl, H.M., and Cornish, T., 2017, Endemic chronic wasting disease causes mule deer population decline in Wyoming: PLoS ONE, v. 12, no. 10, e0186512; 17 p., https://doi.org/10.1371/journal.pone.0186512.","productDescription":"e0186512; 17 p.","ipdsId":"IP-075015","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469422,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0186512","text":"Publisher Index Page"},{"id":347651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"12","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-19","publicationStatus":"PW","scienceBaseUri":"59f83a31e4b063d5d30980b6","contributors":{"authors":[{"text":"DeVivo, Melia","contributorId":198647,"corporation":false,"usgs":false,"family":"DeVivo","given":"Melia","email":"","affiliations":[],"preferred":false,"id":716624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edmunds, David R.","contributorId":198648,"corporation":false,"usgs":false,"family":"Edmunds","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumaker, Brant A.","contributorId":198649,"corporation":false,"usgs":false,"family":"Schumaker","given":"Brant","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Binfet, Justin","contributorId":198650,"corporation":false,"usgs":false,"family":"Binfet","given":"Justin","email":"","affiliations":[],"preferred":false,"id":716627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreeger, Terry J.","contributorId":189227,"corporation":false,"usgs":false,"family":"Kreeger","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schatzl, Hermann M.","contributorId":198863,"corporation":false,"usgs":false,"family":"Schatzl","given":"Hermann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717454,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cornish, Todd","contributorId":189186,"corporation":false,"usgs":false,"family":"Cornish","given":"Todd","email":"","affiliations":[],"preferred":false,"id":717455,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192061,"text":"70192061 - 2017 - At the forefront: evidence of the applicability of using environmental DNA to quantify the abundance of fish populations in natural lentic waters with additional sampling considerations","interactions":[],"lastModifiedDate":"2017-11-29T16:21:20","indexId":"70192061","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"At the forefront: evidence of the applicability of using environmental DNA to quantify the abundance of fish populations in natural lentic waters with additional sampling considerations","docAbstract":"<p><span>Environmental DNA (eDNA) sampling has proven to be a valuable tool for detecting species in aquatic ecosystems. Within this rapidly evolving field, a promising application is the ability to obtain quantitative estimates of relative species abundance based on eDNA concentration rather than traditionally labor-intensive methods. We investigated the relationship between eDNA concentration and Arctic char (</span><i>Salvelinus alpinus</i><span>) abundance in five well-studied natural lakes; additionally, we examined the effects of different temporal (e.g., season) and spatial (e.g., depth) scales on eDNA concentration. Concentrations of eDNA were linearly correlated with char population estimates (</span><img id=\"_i1\" src=\"http://www.nrcresearchpress.com/na101/home/literatum/publisher/nrc/journals/content/cjfas/0/cjfas.ahead-of-print/cjfas-2017-0114/20170821/images/medium/cjfas-2017-0114ieq1.gif\" alt=\"\" data-mce-src=\"http://www.nrcresearchpress.com/na101/home/literatum/publisher/nrc/journals/content/cjfas/0/cjfas.ahead-of-print/cjfas-2017-0114/20170821/images/medium/cjfas-2017-0114ieq1.gif\"><span><span>&nbsp;</span>= 0.78) and exponentially correlated with char densities (</span><img id=\"_i2\" src=\"http://www.nrcresearchpress.com/na101/home/literatum/publisher/nrc/journals/content/cjfas/0/cjfas.ahead-of-print/cjfas-2017-0114/20170821/images/medium/cjfas-2017-0114ieq2.gif\" alt=\"\" data-mce-src=\"http://www.nrcresearchpress.com/na101/home/literatum/publisher/nrc/journals/content/cjfas/0/cjfas.ahead-of-print/cjfas-2017-0114/20170821/images/medium/cjfas-2017-0114ieq2.gif\"><span><span>&nbsp;</span>= 0.96 by area; 0.82 by volume). Across lakes, eDNA concentrations were greater and more homogeneous in the water column during mixis; however, when stratified, eDNA concentrations were greater in the hypolimnion. Overall, our findings demonstrate that eDNA techniques can produce effective estimates of relative fish abundance in natural lakes. These findings can guide future studies to improve and expand eDNA methods while informing research and management using rapid and minimally invasive sampling.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2017-0114","usgsCitation":"Klobucar, S., Rodgers, T.W., and Budy, P., 2017, At the forefront: evidence of the applicability of using environmental DNA to quantify the abundance of fish populations in natural lentic waters with additional sampling considerations: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 12, p. 2030-2034, https://doi.org/10.1139/cjfas-2017-0114.","productDescription":"5 p.","startPage":"2030","endPage":"2034","ipdsId":"IP-086031","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469423,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2017-0114","text":"External Repository"},{"id":346987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b98fe4b05fe04cd65c2d","contributors":{"authors":[{"text":"Klobucar, Stephen L.","contributorId":172291,"corporation":false,"usgs":false,"family":"Klobucar","given":"Stephen L.","affiliations":[],"preferred":false,"id":714079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodgers, Torrey W.","contributorId":197683,"corporation":false,"usgs":false,"family":"Rodgers","given":"Torrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":714080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714041,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192060,"text":"70192060 - 2017 - Quantifying long-term population growth rates of threatened bull trout: challenges, lessons learned, and opportunities","interactions":[],"lastModifiedDate":"2017-11-29T16:20:22","indexId":"70192060","displayToPublicDate":"2017-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying long-term population growth rates of threatened bull trout: challenges, lessons learned, and opportunities","docAbstract":"<p><span>Temporal symmetry models (TSM) represent advances in the analytical application of mark–recapture data to population status assessments. For a population of char, we employed 10 years of active and passive mark–recapture data to quantify population growth rates using different data sources and analytical approaches. Estimates of adult population growth rate were 1.01 (95% confidence interval = 0.84–1.20) using a temporal symmetry model (</span><i>λ</i><sub>TSM</sub><span>), 0.96 (0.68–1.34) based on logistic regressions of annual snorkel data (</span><i>λ</i><sub>A</sub><span>), and 0.92 (0.77–1.11) from redd counts (</span><i>λ</i><sub>R</sub><span>). Top-performing TSMs included an increasing time trend in recruitment (</span><i>f</i><span>) and changes in capture probability (</span><i>p</i><span>). There was only a 1% chance the population decreased ≥50%, and a 10% chance it decreased ≥30% (</span><i>λ</i><sub>MCMC</sub><span>; based on Bayesian Markov chain Monte Carlo procedure). Size structure was stable; however, the adult population was dominated by small adults, and over the study period there was a decline in the contribution of large adults to total biomass. Juvenile condition decreased with increasing adult densities. Utilization of these different information sources provided a robust weight-of-evidence approach to identifying population status and potential mechanisms driving changes in population growth rates.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0336","usgsCitation":"Budy, P., Bowerman, T., Al-Chokhachy, R.K., Conner, M., and Schaller, H., 2017, Quantifying long-term population growth rates of threatened bull trout: challenges, lessons learned, and opportunities: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 12, p. 2131-2143, https://doi.org/10.1139/cjfas-2016-0336.","productDescription":"13 p.","startPage":"2131","endPage":"2143","ipdsId":"IP-066765","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"South Fork Walla Walla River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.22250366210938,\n              45.81970781149485\n            ],\n            [\n              -117.9773712158203,\n              45.81970781149485\n            ],\n            [\n              -117.9773712158203,\n              45.8842726860033\n            ],\n            [\n              -118.22250366210938,\n              45.8842726860033\n            ],\n            [\n              -118.22250366210938,\n              45.81970781149485\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e9b990e4b05fe04cd65c33","contributors":{"authors":[{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowerman, Tracy","contributorId":95796,"corporation":false,"usgs":true,"family":"Bowerman","given":"Tracy","email":"","affiliations":[],"preferred":false,"id":714102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":714040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, Mary","contributorId":197694,"corporation":false,"usgs":false,"family":"Conner","given":"Mary","affiliations":[],"preferred":false,"id":714103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaller, Howard","contributorId":177727,"corporation":false,"usgs":false,"family":"Schaller","given":"Howard","affiliations":[],"preferred":false,"id":714104,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188854,"text":"ofr20171073 - 2017 - Design and methods of the Midwest Stream Quality Assessment (MSQA), 2013","interactions":[],"lastModifiedDate":"2017-10-19T09:39:41","indexId":"ofr20171073","displayToPublicDate":"2017-10-18T16:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1073","title":"Design and methods of the Midwest Stream Quality Assessment (MSQA), 2013","docAbstract":"<p>During 2013, the U.S. Geological Survey (USGS) National Water-Quality Assessment Project (NAWQA), in collaboration with the USGS Columbia Environmental Research Center, the U.S. Environmental Protection Agency (EPA) National Rivers and Streams Assessment (NRSA), and the EPA Office of Pesticide Programs assessed stream quality across the Midwestern United States. This Midwest Stream Quality Assessment (MSQA) simultaneously characterized watershed and stream-reach water-quality stressors along with instream biological conditions, to better understand regional stressor-effects relations. The MSQA design focused on effects from the widespread agriculture in the region and urban development because of their importance as ecological stressors of particular concern to Midwest region resource managers.</p><p>A combined random stratified selection and a targeted selection based on land-use data were used to identify and select sites representing gradients in agricultural intensity across the region. During a 14-week period from May through August 2013, 100 sites were selected and sampled 12 times for contaminants, nutrients, and sediment. This 14-week water-quality “index” period culminated with an ecological survey of habitat, periphyton, benthic macroinvertebrates, and fish at all sites. Sediment was collected during the ecological survey for analysis of sediment chemistry and toxicity testing. Of the 100 sites, 50 were selected for the MSQA random stratified group from 154 NRSA sites planned for the region, and the other 50 MSQA sites were selected as targeted sites to more evenly cover agricultural and urban stressor gradients in the study area. Of the 50 targeted sites, 12 were in urbanized watersheds and 21 represented “good” biological conditions or “least disturbed” conditions. The remaining 17 targeted sites were selected to improve coverage of the agricultural intensity gradient or because of historical data collection to provide temporal context for the study.</p><p>This report provides a detailed description of the MSQA study components, including surveys of ecological conditions, routine water sampling, deployment of passive polar organic compound integrative samplers, and stream sediment sampling at all sites. Component studies that were completed to provide finer scale temporal data or more extensive analysis at selected sites, included continuous water-quality monitoring, daily pesticide sampling, laboratory and in-stream water toxicity testing efforts, and deployment of passive suspended-sediment samplers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171073","collaboration":"National Water-Quality Program </br>Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Garrett, J.D., Frey, J.W., Van Metre, P.C., Journey, C.A., Nakagaki, Naomi, Button, D.T., and Howell, L.H., 2017, Design and methods of the Midwest Stream Quality Assessment (MSQA), 2013: U.S. Geological Survey Open-File Report 2017–1073, 59 p., 4 app., https://doi.org/10.3133/ofr20171073.","productDescription":"Report: x, 57 p.; 4 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075316","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":346657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1073/coverthb.jpg"},{"id":346658,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1073/ofr20171073.pdf","text":"Report","size":"19.5 MB","description":"OFR 2017-1073"},{"id":346660,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1073/ofr20171073_appendix2_LabSchedules.xlsx","text":"Appendix 2","size":"80.6 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2","linkHelpText":"- Description of the Laboratory Analyses Used for Water, Periphyton, Sediment, Fish Tissue, and Passive Integrated Samples"},{"id":346659,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1073/ofr20171073_appendix1_SiteDetails.xlsx","text":"Appendix 1","size":"149 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1","linkHelpText":"- Additional Site, Reach, and Watershed Characteristics of Selected Sites Assessed as Part of the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Midwest Stream Quality Assessment (MSQA) in 2013"},{"id":346661,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1073/ofr20171073_appendix3_SampleCounts.xlsx","text":"Appendix 3","size":"50.5 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 3","linkHelpText":"- Description of Quality Control Samples"},{"id":346662,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1073/ofr20171073_appendix4_Workplan.xlsx","text":"Appendix 4","size":"27.5 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 4","linkHelpText":"- Description of the Sampling Timelines, Matrix, Collection, and Processing for Water, Sediment, and Ecological Samples"}],"country":"United States","state":"Illinois, Indiana, Iowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Nebraska, Ohio, South Dakota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.13037109375,\n              45.398449976304086\n            ],\n            [\n              -96.85546875,\n              45.042478050891546\n            ],\n            [\n              -97.1630859375,\n              44.402391829093915\n            ],\n            [\n              -97.119140625,\n              43.78695837311561\n            ],\n            [\n        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 [\n              -90.703125,\n              42.47209690919285\n            ],\n            [\n              -91.2744140625,\n              42.65012181368022\n            ],\n            [\n              -91.58203125,\n              43.08493742707592\n            ],\n            [\n              -91.91162109375,\n              43.6599240747891\n            ],\n            [\n              -92.57080078125,\n              44.19795903948531\n            ],\n            [\n              -92.3291015625,\n              44.824708282300236\n            ],\n            [\n              -91.69189453125,\n              45.22848059584359\n            ],\n            [\n              -91.8017578125,\n              45.506346901083425\n            ],\n            [\n              -92.94433593749999,\n              45.583289756006316\n            ],\n            [\n              -94.94384765625,\n              45.583289756006316\n            ],\n            [\n              -96.13037109375,\n              45.398449976304086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://water.usgs.gov/nawqa\" data-mce-href=\"https://water.usgs.gov/nawqa\">National Water Quality Program</a> <br> U.S. Geological Survey<br> 413 National Center<br> 12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Design of the Midwest Stream Quality Assessment Study</li><li>Data Collection and Processing</li><li>Laboratory Analyses</li><li>Quality Assurance and Quality Control</li><li>Special Studies</li><li>References Cited</li><li>Appendix 1. Additional Site, Reach, and Watershed Characteristics of Selected Sites Assessed as Part of the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Midwest Stream Quality Assessment (MSQA) in 2013</li><li>Appendix 2. Description of the Laboratory Analyses Used for Water, Periphyton, Sediment, Fish Tissue, and Passive Integrated Samples</li><li>Appendix 3. Description of Quality Control Samples</li><li>Appendix 4. Description of the Sampling Timelines, Matrix, Collection, and Processing for Water, Sediment, and Ecological Samples</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-10-18","noUsgsAuthors":false,"publicationDate":"2017-10-18","publicationStatus":"PW","scienceBaseUri":"59e8682ce4b05fe04cd4d195","contributors":{"authors":[{"text":"Garrett, Jessica D. 0000-0002-4466-3709 jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":700699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":700701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700705,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189259,"text":"ofr20171086 - 2017 - HIF evaluation of In-Situ Aqua TROLL 400","interactions":[],"lastModifiedDate":"2017-10-19T10:19:36","indexId":"ofr20171086","displayToPublicDate":"2017-10-18T14:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1086","title":"HIF evaluation of In-Situ Aqua TROLL 400","docAbstract":"<p>The In-Situ Aqua TROLL 400 (Aqua TROLL 400) was tested at the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) against known standards over the Aqua TROLL 400’s operating temperature to verify the manufacturer’s stated accuracy specifications and the USGS recommendations for pH, dissolved oxygen (DO), and specific conductance (SC). The Aqua TROLL 400 manufacturer’s specifications are within the USGS recommendations for all parameters tested, except for DO, which is outside the USGS recommendation at DO concentrations of 8.0 milligrams per liter (mg/L) and higher. The Aqua TROLL 400 was compliant with Serial Digital Interface at 1200 baud (SDI-12) version 1.3. During laboratory testing of pH, the Aqua TROLL 400 sonde met the U.S. Geological Survey “National Field Manual for the Collection of Water-Quality Data” (NFM) recommendations for pH at all values tested, except at 4 degrees Celsius (°C) at pH 9.395 and pH 3.998. The Aqua TROLL 400 met the manufacturer specifications for pH at all values tested, except for pH buffers 3.998, 9.395, and 10.245 at 4 °C; pH 2.990 and 3.998 at 15 °C; and pH 3.040 at 40 °C. The Aqua TROLL 400 met the NFM recommendations at 93.7 percent of the SC values tested and met the manufacturer’s accuracy specifications at 56.3 percent of the SC values tested. During the laboratory testing for DO, the Aqua TROLL 400 met the manufacturer specifications, except at 5.55 mg/L, and met the NFM recommendations at all concentrations tested. An Aqua TROLL 400 was field tested at USGS Station 02492620, National Space Technology Laboratories (NSTL) Station, Mississippi, on the Pearl River for 6 weeks and showed good agreement with the well-maintained site sonde data for pH, DO, temperature, and SC.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171086","usgsCitation":"Tillman, E.F., 2017, HIF evaluation of In-Situ Aqua TROLL 400: U.S. Geological Survey Open-File Report, 2017–1086, 35 p., https://doi.org/10.3133/ofr20171086.","productDescription":"vi, 35 p.","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076079","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":346630,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1086/coverthb.jpg"},{"id":346631,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1086/ofr20171086.pdf","text":"Report","size":"856 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1086"}],"contact":"<p>Chief,<a href=\"http://water.usgs.gov/hif/\" data-mce-href=\"http://water.usgs.gov/hif/\"> Hydrologic Instrumentation Facility</a><br> U.S. Geological Survey<br> Building 2101<br> Stennis Space Center, MS 39529</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description</li><li>Test Procedures</li><li>Field Test</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-10-18","noUsgsAuthors":false,"publicationDate":"2017-10-18","publicationStatus":"PW","scienceBaseUri":"59e8682de4b05fe04cd4d19c","contributors":{"authors":[{"text":"Tillman, Evan F. etillman@usgs.gov","contributorId":194342,"corporation":false,"usgs":true,"family":"Tillman","given":"Evan","email":"etillman@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":703783,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191878,"text":"70191878 - 2017 - Epicormic resprouting in fire-prone ecosystems","interactions":[],"lastModifiedDate":"2017-11-29T16:24:17","indexId":"70191878","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5521,"text":"Trends in Plant Science","active":true,"publicationSubtype":{"id":10}},"title":"Epicormic resprouting in fire-prone ecosystems","docAbstract":"<p><span>Many plants resprout from basal buds after disturbance, and this is common in shrublands subjected to high-intensity fires. However, resprouting after fire from epicormic (stem) buds is globally far less common. Unlike basal resprouting, post-fire epicormic resprouting is a key plant adaptation for retention of the arborescent skeleton after fire, allowing rapid recovery of the forest or woodland and leading to greater ecosystem resilience under recurrent high-intensity fires. Here we review the biogeography of epicormic resprouting, the mechanisms of protection, the fire regimes where it occurs, and the evolutionary drivers that shaped this trait. We propose that epicormic resprouting is adaptive in ecosystems with high fire frequency and relatively high productivity, at moderate–high fire intensities.</span></p>","language":"English","publisher":"Cell Press","doi":"10.1016/j.tplants.2017.08.010","usgsCitation":"Pausas, J.G., and Keeley, J.E., 2017, Epicormic resprouting in fire-prone ecosystems: Trends in Plant Science, v. 22, no. 12, p. 1008-1015, https://doi.org/10.1016/j.tplants.2017.08.010.","productDescription":"8 p.","startPage":"1008","endPage":"1015","ipdsId":"IP-088237","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469427,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/183556","text":"External Repository"},{"id":346896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"12","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e8682fe4b05fe04cd4d1ae","contributors":{"authors":[{"text":"Pausas, Juli G.","contributorId":197439,"corporation":false,"usgs":false,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":713504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":713503,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191856,"text":"70191856 - 2017 - Phylogenetic distribution of a male pheromone that may exploit a nonsexual preference in lampreys","interactions":[],"lastModifiedDate":"2017-12-19T16:49:07","indexId":"70191856","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2273,"text":"Journal of Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenetic distribution of a male pheromone that may exploit a nonsexual preference in lampreys","docAbstract":"<p><span>Pheromones are among the most important sexual signals used by organisms throughout the animal kingdom. However, few are identified in vertebrates, leaving the evolutionary mechanisms underlying vertebrate pheromones poorly understood. Pre-existing biases in receivers’ perceptual systems shape visual and auditory signaling systems, but studies on how receiver biases influence the evolution of pheromone communication remain sparse. The lamprey&nbsp;</span><i>Petromyzon marinus</i><span><span>&nbsp;</span>uses a relatively well-understood suite of pheromones and offers a unique opportunity to study the evolution of vertebrate pheromone communication. Previous studies indicate that male signaling with the mating pheromone 3-keto petromyzonol sulfate (3kPZS) may exploit a nonsexual attraction to juvenile-released 3kPZS that guides migration into productive rearing habitat. Here, we infer the distribution of male signaling with 3kPZS using a phylogenetic comparison comprising six of ten genera and two of three families. Our results indicate that only<span>&nbsp;</span></span><i>P. marinus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Ichthyomyzon castaneus</i><span><span>&nbsp;</span>release 3kPZS at high rates. Olfactory and behavioral assays with<span>&nbsp;</span></span><i>P. marinus, I. castaneus</i><span><span>&nbsp;</span>and a subset of three other species that do not use 3kPZS as a sexual signal indicate that male signaling might drive the evolution of female adaptations to detect 3kPZS with specific olfactory mechanisms and respond to 3kPZS with targeted attraction relevant during mate search. We postulate that 3kPZS communication evolved independently in<span>&nbsp;</span></span><i>I. castaneus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>P. marinus</i><span>, but cannot eliminate the alternative that other species lost 3kPZS communication. Regardless, our results represent a rare macroevolutionary investigation of a vertebrate pheromone and insight into the evolutionary mechanisms underlying pheromone communication.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jeb.13191","usgsCitation":"Buchinger, T.J., Bussy, U., Li, K., Wang, H., Huertas, M., Baker, C.F., Jia, L., Hayes, M.C., Li, W., and Johnson, N., 2017, Phylogenetic distribution of a male pheromone that may exploit a nonsexual preference in lampreys: Journal of Evolutionary Biology, v. 30, no. 12, p. 2244-2254, https://doi.org/10.1111/jeb.13191.","productDescription":"11 p.","startPage":"2244","endPage":"2254","ipdsId":"IP-089842","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jeb.13191","text":"Publisher Index Page"},{"id":346916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"12","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-02","publicationStatus":"PW","scienceBaseUri":"59e86830e4b05fe04cd4d1bc","contributors":{"authors":[{"text":"Buchinger, Tyler J.","contributorId":40508,"corporation":false,"usgs":true,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":713411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Ke","contributorId":172267,"corporation":false,"usgs":false,"family":"Li","given":"Ke","email":"","affiliations":[],"preferred":false,"id":713412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Huiyong","contributorId":197402,"corporation":false,"usgs":false,"family":"Wang","given":"Huiyong","email":"","affiliations":[],"preferred":false,"id":713413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huertas, Mar","contributorId":177189,"corporation":false,"usgs":false,"family":"Huertas","given":"Mar","email":"","affiliations":[],"preferred":false,"id":713414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, Cindy F.","contributorId":177190,"corporation":false,"usgs":false,"family":"Baker","given":"Cindy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":713415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jia, Liang","contributorId":177191,"corporation":false,"usgs":false,"family":"Jia","given":"Liang","email":"","affiliations":[],"preferred":false,"id":713416,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713417,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":713418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":713409,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191717,"text":"ofr20171133 - 2017 - Proceedings of the 11th United States-Japan natural resources panel for earthquake research, Napa Valley, California, November 16–18, 2016","interactions":[],"lastModifiedDate":"2017-10-19T10:22:28","indexId":"ofr20171133","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1133","title":"Proceedings of the 11th United States-Japan natural resources panel for earthquake research, Napa Valley, California, November 16–18, 2016","docAbstract":"<p>The UJNR Panel on Earthquake Research promotes advanced research toward a more fundamental understanding of the earthquake process and hazard estimation. The Eleventh Joint meeting was extremely beneficial in furthering cooperation and deepening understanding of problems common to both Japan and the United States.</p><p>The meeting included productive exchanges of information on approaches to systematic observation and modeling of earthquake processes. Regarding the earthquake and tsunami of March 2011 off the Pacific coast of Tohoku and the 2016 Kumamoto earthquake sequence, the Panel recognizes that further efforts are necessary to achieve our common goal of reducing earthquake risk through close collaboration and focused discussions at the 12th UJNR meeting.</p>","conferenceTitle":"11th United States-Japan Natural Resources Panel for Earthquake Research","conferenceDate":"November 16-18, 2016","conferenceLocation":"Napa Valley, CA","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171133","usgsCitation":"Detweiler, S., and Pollitz, F., eds., 2017, Proceedings of the 11th United States-Japan natural resources panel for earthquake research, Napa Valley, California, November 16–18, 2016: U.S. Geological Survey Open-File Report 2017–1133, 147 p., https://doi.org/10.3133/ofr20171133.","productDescription":"vii, 147 p.","numberOfPages":"154","onlineOnly":"Y","ipdsId":"IP-084487","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346852,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1133/ofr20171133.pdf","text":"Report","size":"9.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1133"},{"id":346851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1133/coverthb.jpg"}],"contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/\">USGS Earthquake Science Center<br></a><a href=\"https://usgs.gov/\" target=\"_blank\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road&nbsp;<br>Mail Stop 977&nbsp;<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Resolution of the Eleventh Joint Meeting of the United States-Japan Panel on Earthquake Research (UJNR), November 2016<br></li><li>Agenda 2016 UJNR Meeting, Napa Valley, California: Oral and Poster Sessions (Presenter in Bold)<br></li><li>Session 1: National Policies, Strategies Programs, Networks, and Ongoing/Upcoming Projects<br></li><li>Session 2: The 2016 Kumamoto Earthquake Sequence<br></li><li>Session 3: Earthquake Hazards Studies, Recurrence, and Mapping<br></li><li>Session 4: Induced Seismicity<br></li><li>Session 5: Subduction Zone Science<br></li><li>Recent Initiatives (S-Net, DONET, ‘Ring of Fire’, Subduction Zone Observatory)<br></li><li>Episodic Tremor and Slow Slip<br></li><li>Operational Forecasting and Early Warning Systems of Earthquakes and Tsunamis<br></li><li>Probabilistic Earthquake and Tsunami Hazard Estimation<br></li><li>Real-time Seismic and Geodetic Monitoring and Seafloor Observations<br></li><li>Session 6: The South Napa Earthquake<br></li><li>Poster Session Abstracts<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-10-18","noUsgsAuthors":false,"publicationDate":"2017-10-18","publicationStatus":"PW","scienceBaseUri":"59e86831e4b05fe04cd4d1c9","contributors":{"editors":[{"text":"Detweiler, Shane shane@usgs.gov","contributorId":147023,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713875,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713876,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70191862,"text":"70191862 - 2017 - Linking functional response and bioenergetics to estimate juvenile salmon growth in a reservoir food web","interactions":[],"lastModifiedDate":"2017-10-18T14:35:46","indexId":"70191862","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking functional response and bioenergetics to estimate juvenile salmon growth in a reservoir food web","docAbstract":"<p><span>Juvenile salmon (</span><i>Oncorhynchus</i><span><span>&nbsp;</span>spp.) use of reservoir food webs is understudied. We examined the feeding behavior of subyearling Chinook salmon (</span><i>O</i><span>.<span>&nbsp;</span></span><i>tshawytscha</i><span>) and its relation to growth by estimating the functional response of juvenile salmon to changes in the density of<span>&nbsp;</span></span><i>Daphnia</i><span>, an important component of reservoir food webs. We then estimated salmon growth across a broad range of water temperatures and daily rations of two primary prey,<span>&nbsp;</span></span><i>Daphnia</i><span><span>&nbsp;</span>and juvenile American shad (</span><i>Alosa sapidissima</i><span>) using a bioenergetics model. Laboratory feeding experiments yielded a Type-II functional response curve:<span>&nbsp;</span></span><i>C</i><span><span>&nbsp;</span>= 29.858<span>&nbsp;</span></span><i>P</i><span><span>&nbsp;</span>*(4.271 +<span>&nbsp;</span></span><i>P</i><span>)</span><sup>-1</sup><span><span>&nbsp;</span>indicating that salmon consumption (</span><i>C</i><span>) of<span>&nbsp;</span></span><i>Daphnia</i><span><span>&nbsp;</span>was not affected until<span>&nbsp;</span></span><i>Daphnia</i><span><span>&nbsp;</span>densities (</span><i>P</i><span>) were &lt; 30 · L</span><sup>-1</sup><span>. Past field studies documented<span>&nbsp;</span></span><i>Daphnia</i><span><span>&nbsp;</span>densities in lower Columbia River reservoirs of &lt; 3 · L</span><sup>-1</sup><span><span>&nbsp;</span>in July but as high as 40 · L</span><sup>-1</sup><span><span>&nbsp;</span>in August. Bioenergetics modeling indicated that subyearlings could not achieve positive growth above 22°C regardless of prey type or consumption rate. When feeding on<span>&nbsp;</span></span><i>Daphnia</i><span>, subyearlings could not achieve positive growth above 20°C (water temperatures they commonly encounter in the lower Columbia River during summer). At 16–18°C, subyearlings had to consume about 27,000<span>&nbsp;</span></span><i>Daphnia</i><span><span>&nbsp;</span>· day</span><sup>-1</sup><span><span>&nbsp;</span>to achieve positive growth. However, when feeding on juvenile American shad, subyearlings had to consume 20 shad · day</span><sup>-1</sup><span><span>&nbsp;</span>at 16–18°C, or at least 25 shad · day</span><sup>-1</sup><span><span>&nbsp;</span>at 20°C to achieve positive growth. Using empirical consumption rates and water temperatures from summer 2013, subyearlings exhibited negative growth during July (-0.23 to -0.29 g · d</span><sup>-1</sup><span>) and August (-0.05 to -0.07 g · d</span><sup>-1</sup><span>). By switching prey from<span>&nbsp;</span></span><i>Daphnia</i><span><span>&nbsp;</span>to juvenile shad which have a higher energy density, subyearlings can partially compensate for the effects of higher water temperatures they experience in the lower Columbia River during summer. However, achieving positive growth as piscivores requires subyearlings to feed at higher consumption rates than they exhibited empirically. While our results indicate compromised growth in reservoir habitats, the long-term repercussions to salmon populations in the Columbia River Basin are unknown.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0185933","usgsCitation":"Haskell, C.A., Beauchamp, D.A., and Bollens, S., 2017, Linking functional response and bioenergetics to estimate juvenile salmon growth in a reservoir food web: PLoS ONE, v. 10, no. 12, p. 1-21, https://doi.org/10.1371/journal.pone.0185933.","productDescription":"e0185933; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-084728","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469425,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0185933","text":"Publisher Index Page"},{"id":346885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"59e8682fe4b05fe04cd4d1b0","contributors":{"authors":[{"text":"Haskell, Craig A. 0000-0002-3604-1758 chaskell@usgs.gov","orcid":"https://orcid.org/0000-0002-3604-1758","contributorId":3458,"corporation":false,"usgs":true,"family":"Haskell","given":"Craig","email":"chaskell@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bollens, Stephen M.","contributorId":181850,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen M.","affiliations":[],"preferred":false,"id":713444,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191858,"text":"70191858 - 2017 - Shelf evolution along a transpressive transform margin, Santa Barbara Channel, California","interactions":[],"lastModifiedDate":"2017-12-19T16:48:08","indexId":"70191858","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Shelf evolution along a transpressive transform margin, Santa Barbara Channel, California","docAbstract":"<p>High-resolution bathymetric and seismic reflection data provide new insights for understanding the post–Last Glacial Maximum (LGM, ca. 21&nbsp;ka) evolution of the ∼120-km-long Santa Barbara shelf, located within a transpressive segment of the transform continental margin of western North America. The goal is to determine how rising sea level, sediment supply, and tectonics combine to control shelf geomorphology and history. Morpho­logic, stratigraphic, and structural data highlight regional variability and support division of the shelf into three domains. (1) The eastern Santa Barbara shelf is south of and in the hanging wall of the blind south-dipping Oak Ridge fault. The broad gently dipping shelf has a convex-upward shape resulting from thick post-LGM sediment (mean&nbsp;= 24.7&nbsp;m) derived from the Santa Clara River. (2) The ∼5–8-km-wide Ventura Basin obliquely crosses the shelf and forms an asymmetric trough with thick post-LGM sediment fill (mean&nbsp;= 30.4&nbsp;m) derived from the Santa Clara and Ventura Rivers. The basin is between and in the footwalls of the Oak Ridge fault to the south and the blind north-dipping Pitas Point fault to the north. (3) The central and western Santa Barbara shelf is located north of and in the hanging wall of the North Channel–Pitas Point fault system. The concave-up shape of the shelf results from folding, marine erosion, and the relative lack of post-LGM sediment cover (mean&nbsp;= 3.8&nbsp;m). Sediment is derived from small steep coastal watersheds and largely stored in the Gaviota bar and other nearshore mouth bars. Three distinct upper slope morphologies result from a mix of progradation and submarine landsliding.</p><p>Ages and rates of deformation are derived from a local sea-level-rise model that incorporates an inferred LGM shoreline angle and the LGM wave-cut platform. Post-LGM slip rates on the offshore Oak Ridge fault are a mini­mum of 0.7&nbsp;± 0.1 mm/yr. Slip rates on the Pitas Point fault system are a minimum of 2.3&nbsp;± 0.3 mm/yr near Pitas Point, and decrease to the west across the Santa Barbara Channel. Documentation of fault lengths, slip rates, and rupture modes, as well as potential zones of submarine landsliding, provide essential information for enhanced regional earthquake and tsunami hazard assessment.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01387.1","usgsCitation":"Johnson, S.Y., Hartwell, S., Sorlien, C.C., Dartnell, P., and Ritchie, A., 2017, Shelf evolution along a transpressive transform margin, Santa Barbara Channel, California: Geosphere, v. 13, no. 6, p. 2041-2077, https://doi.org/10.1130/GES01387.1.","productDescription":"37 p.","startPage":"2041","endPage":"2077","ipdsId":"IP-076906","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01387.1","text":"Publisher Index Page"},{"id":346917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.7012939453125,\n              33.8339199536547\n            ],\n            [\n              -119.06982421874999,\n              33.8339199536547\n            ],\n            [\n              -119.06982421874999,\n              34.59704151614417\n            ],\n            [\n              -120.7012939453125,\n              34.59704151614417\n            ],\n            [\n              -120.7012939453125,\n              33.8339199536547\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","scienceBaseUri":"59e8682fe4b05fe04cd4d1b2","contributors":{"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":713421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartwell, Stephen 0000-0002-3522-7526 shartwell@usgs.gov","orcid":"https://orcid.org/0000-0002-3522-7526","contributorId":146221,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen","email":"shartwell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":713422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sorlien, Christopher C. 0000-0002-2359-9592","orcid":"https://orcid.org/0000-0002-2359-9592","contributorId":197404,"corporation":false,"usgs":false,"family":"Sorlien","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":713423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":713424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ritchie, Andrew C.","contributorId":139060,"corporation":false,"usgs":false,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":713425,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191881,"text":"70191881 - 2017 - Urban landscapes can change virus gene flow and evolution in a fragmentation-sensitive carnivore","interactions":[],"lastModifiedDate":"2017-12-12T12:43:53","indexId":"70191881","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Urban landscapes can change virus gene flow and evolution in a fragmentation-sensitive carnivore","docAbstract":"<p><span>Urban expansion has widespread impacts on wildlife species globally, including the transmission and emergence of infectious diseases. However, there is almost no information about how urban landscapes shape transmission dynamics in wildlife. Using an innovative phylodynamic approach combining host and pathogen molecular data with landscape characteristics and host traits, we untangle the complex factors that drive transmission networks of Feline Immunodeficiency Virus (FIV) in bobcats (</span><i>Lynx rufus</i><span>). We found that the urban landscape played a significant role in shaping FIV transmission. Even though bobcats were often trapped within the urban matrix, FIV transmission events were more likely to occur in areas with more natural habitat elements. Urban fragmentation also resulted in lower rates of pathogen evolution, possibly owing to a narrower range of host genotypes in the fragmented area. Combined, our findings show that urban landscapes can have impacts on a pathogen and its evolution in a carnivore living in one of the most fragmented and urban systems in North America. The analytical approach used here can be broadly applied to other host-pathogen systems, including humans.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.14375","usgsCitation":"Fountain-Jones, N.M., Craft, M.E., Funk, W.C., Kozakiewicz, C., Trumbo, D., Boydston, E.E., Lyren, L.M., Crooks, K.R., Lee, J.S., VandeWoude, S., and Carver, S., 2017, Urban landscapes can change virus gene flow and evolution in a fragmentation-sensitive carnivore: Molecular Ecology, v. 26, no. 22, p. 6487-6498, https://doi.org/10.1111/mec.14375.","productDescription":"13 p.","startPage":"6487","endPage":"6498","ipdsId":"IP-077795","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":502520,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Urban_Landscapes_can_change_virus_gene_flow_and_evolution_in_a_fragmentation-sensitive_carnivore/22964129","text":"External Repository"},{"id":346895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"22","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e8682ee4b05fe04cd4d1a9","contributors":{"authors":[{"text":"Fountain-Jones, Nicholas M. 0000-0001-9248-8493","orcid":"https://orcid.org/0000-0001-9248-8493","contributorId":197452,"corporation":false,"usgs":false,"family":"Fountain-Jones","given":"Nicholas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craft, Meggan E.","contributorId":168372,"corporation":false,"usgs":false,"family":"Craft","given":"Meggan","email":"","middleInitial":"E.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":713522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":713523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kozakiewicz, Chris","contributorId":197453,"corporation":false,"usgs":false,"family":"Kozakiewicz","given":"Chris","email":"","affiliations":[],"preferred":false,"id":713524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trumbo, Daryl","contributorId":197454,"corporation":false,"usgs":false,"family":"Trumbo","given":"Daryl","affiliations":[],"preferred":false,"id":713525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":713520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyren, Lisa M.","contributorId":197457,"corporation":false,"usgs":false,"family":"Lyren","given":"Lisa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713530,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":713526,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, Justin S.","contributorId":197455,"corporation":false,"usgs":false,"family":"Lee","given":"Justin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713527,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"VandeWoude, Sue","contributorId":179201,"corporation":false,"usgs":false,"family":"VandeWoude","given":"Sue","affiliations":[],"preferred":false,"id":713528,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carver, Scott 0000-0002-3579-7588","orcid":"https://orcid.org/0000-0002-3579-7588","contributorId":197456,"corporation":false,"usgs":false,"family":"Carver","given":"Scott","email":"","affiliations":[],"preferred":false,"id":713529,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70191898,"text":"70191898 - 2017 - An improved camera trap for amphibians, reptiles, small mammals, and large invertebrates","interactions":[],"lastModifiedDate":"2017-10-18T14:56:26","indexId":"70191898","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"An improved camera trap for amphibians, reptiles, small mammals, and large invertebrates","docAbstract":"<p><span>Camera traps are valuable sampling tools commonly used to inventory and monitor wildlife communities but are challenged to reliably sample small animals. We introduce a novel active camera trap system enabling the reliable and efficient use of wildlife cameras for sampling small animals, particularly reptiles, amphibians, small mammals and large invertebrates. It surpasses the detection ability of commonly used passive infrared (PIR) cameras for this application and eliminates problems such as high rates of false triggers and high variability in detection rates among cameras and study locations. Our system, which employs a HALT trigger, is capable of coupling to digital PIR cameras and is designed for detecting small animals traversing small tunnels, narrow trails, small clearings and along walls or drift fencing.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0185026","usgsCitation":"Hobbs, M.T., and Brehme, C.S., 2017, An improved camera trap for amphibians, reptiles, small mammals, and large invertebrates: PLoS ONE, v. 12, no. 10, e018502, https://doi.org/10.1371/journal.pone.0185026.","productDescription":"e018502","ipdsId":"IP-090943","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469428,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0185026","text":"Publisher Index Page"},{"id":346893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-05","publicationStatus":"PW","scienceBaseUri":"59e8682ee4b05fe04cd4d1a6","contributors":{"authors":[{"text":"Hobbs, Michael T.","contributorId":197480,"corporation":false,"usgs":false,"family":"Hobbs","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":713585,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191857,"text":"70191857 - 2017 - U.S. Geological Survey experience with the residual absolutes method","interactions":[],"lastModifiedDate":"2017-10-18T14:02:39","indexId":"70191857","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5518,"text":"Geoscientific Instrumentation, Methods and Data Systems","active":true,"publicationSubtype":{"id":10}},"title":"U.S. Geological Survey experience with the residual absolutes method","docAbstract":"<p><span>The U.S.&nbsp;Geological Survey&nbsp;(USGS) Geomagnetism Program has developed and tested the residual method of absolutes, with the assistance of the Danish Technical University's&nbsp;(DTU) Geomagnetism Program. Three years of testing were performed at College Magnetic Observatory&nbsp;(CMO), Fairbanks, Alaska, to compare the residual method with the null method. Results show that the two methods compare very well with each other and both sets of baseline data were used to process the 2015&nbsp;definitive data. The residual method will be implemented at the other USGS high-latitude geomagnetic observatories in the summer of&nbsp;2017 and&nbsp;2018.</span></p>","language":"English","publisher":"EGU","doi":"10.5194/gi-6-419-2017","usgsCitation":"Worthington, E.W., and Matzka, J., 2017, U.S. Geological Survey experience with the residual absolutes method: Geoscientific Instrumentation, Methods and Data Systems, v. 6, p. 419-427, https://doi.org/10.5194/gi-6-419-2017.","productDescription":"9 p.","startPage":"419","endPage":"427","ipdsId":"IP-085974","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gi-6-419-2017","text":"Publisher Index Page"},{"id":346870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"59e86830e4b05fe04cd4d1b7","contributors":{"authors":[{"text":"Worthington, E. William 0000-0002-5879-0477 bworth@usgs.gov","orcid":"https://orcid.org/0000-0002-5879-0477","contributorId":2570,"corporation":false,"usgs":true,"family":"Worthington","given":"E.","email":"bworth@usgs.gov","middleInitial":"William","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":713419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matzka, Jurgen","contributorId":197403,"corporation":false,"usgs":false,"family":"Matzka","given":"Jurgen","email":"","affiliations":[],"preferred":false,"id":713420,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191601,"text":"70191601 - 2017 - Recurrent Holocene movement on the Susitna Glacier Thrust Fault: The structure that initiated the Mw 7.9 Denali Fault earthquake, central Alaska","interactions":[],"lastModifiedDate":"2020-12-21T12:50:49.463077","indexId":"70191601","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","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}},"displayTitle":"Recurrent Holocene movement on the Susitna Glacier Thrust Fault: The structure that initiated the M<i>w</i> 7.9 Denali Fault earthquake, central Alaska","title":"Recurrent Holocene movement on the Susitna Glacier Thrust Fault: The structure that initiated the Mw 7.9 Denali Fault earthquake, central Alaska","docAbstract":"<p><span>We conducted a trench investigation and analyzed pre‐ and postearthquake topography to determine the timing and size of prehistoric surface ruptures on the Susitna Glacier fault (SGF), the thrust fault that initiated the 2002&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;7.9 Denali fault earthquake sequence in central Alaska. In two of our three hand‐excavated trenches, we found clear evidence for a single pre‐2002 earthquake (penultimate earthquake [PE]) and determined an age of 2210±420  cal. B.P. (2</span><i>σ</i><span>) for this event. We used structure‐from‐motion software to create a pre‐2002‐earthquake digital surface model (DSM) from 1:62,800‐scale aerial photography taken in 1980 and compared this DSM with postearthquake 5‐m/pixel Interferometric Synthetic Aperature Radar topography taken in 2010. Topographic profiles measured from the pre‐earthquake DSM show features that we interpret as fault and fold scarps. These landforms were about the same size as those formed in 2002, so we infer that the PE was similar in size to the initial (</span><i>M</i><sub>w</sub><span>&nbsp;7.2) subevent of the 2002 sequence. A recurrence interval of 2270&nbsp;yrs and dip slip of ∼4.8  m yield a single‐interval slip rate of ∼1.8  mm/yr. The lack of evidence for pre‐PE deformation indicates probable episodic (clustering) behavior on the SGF that may be related to strain migration among other similarly oriented thrust faults that together accommodate shortening south of the Denali fault. We suspect that slip‐partitioned thrust‐triggered earthquakes may be a common occurrence on the Denali fault system, but documenting the frequency of such events will be very difficult, given the lack of long‐term paleoseismic records, the number of potential thrust‐earthquake sources, and the pervasive glacial erosion in the region.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160286","usgsCitation":"Personius, S., Crone, A.J., Burns, P., and Reitman, N.G., 2017, Recurrent Holocene movement on the Susitna Glacier Thrust Fault: The structure that initiated the Mw 7.9 Denali Fault earthquake, central Alaska: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1593-1609, https://doi.org/10.1785/0120160286.","productDescription":"17 p.","startPage":"1593","endPage":"1609","ipdsId":"IP-084517","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"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              -154.68749999999997,\n              58.309488840677645\n            ],\n            [\n              -143.525390625,\n              58.309488840677645\n            ],\n            [\n              -143.525390625,\n              63.78248603116502\n            ],\n            [\n              -154.68749999999997,\n              63.78248603116502\n            ],\n            [\n              -154.68749999999997,\n              58.309488840677645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-23","publicationStatus":"PW","scienceBaseUri":"59e86832e4b05fe04cd4d1d1","contributors":{"authors":[{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Patricia A.","contributorId":197193,"corporation":false,"usgs":false,"family":"Burns","given":"Patricia A.","affiliations":[],"preferred":false,"id":712836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712837,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191655,"text":"70191655 - 2017 - Oxygen stable isotopic disparities among sympatric small land snail species from northwest Minnesota, USA","interactions":[],"lastModifiedDate":"2017-10-18T14:29:36","indexId":"70191655","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen stable isotopic disparities among sympatric small land snail species from northwest Minnesota, USA","docAbstract":"<p><span>The oxygen isotopic composition (δ</span><sup>18</sup><span>O) of land snail shells can be a valuable paleoenvironmental archive if the climatic parameters that influence the isotopic system are fully understood. Previous calibration studies have examined a limited number of species or individuals, and most have focused on larger (&gt;</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>mm) taxa, which do not represent the dominant shell material in the Quaternary fossil record. In this study, we evaluate the δ</span><sup>18</sup><span>O values of small land snails (&lt;</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>mm), which are common in modern settings and are often preserved in a wide array of Quaternary geologic and archeologic deposits. Our primary goal was to determine if coexisting species record equivalent isotopic information in their shells, regardless of differences in their ecology, dietary habits, behavior, and/or body size. We collected and analyzed 265 individuals of 11 species from 12 sites in northwest Minnesota (USA), which exhibits extremely abundant and diverse terrestrial malacofauna in North America. We did not observe significant correlations between shell δ</span><sup>18</sup><span>O values and the type of ecosystem (forest/grassland) or hydrologic setting (upland/lowland). However, the majority of species differed significantly in shell δ</span><sup>18</sup><span>O values. Larger taxa (</span><i>Catinella</i><span>,<span>&nbsp;</span></span><i>Succinea</i><span>,<span>&nbsp;</span></span><i>Discus</i><span>) consistently yielded higher δ</span><sup>18</sup><span>O values than smaller taxa (</span><i>Euconulus</i><span>,<span>&nbsp;</span></span><i>Gastrocopta</i><span>,<span>&nbsp;</span></span><i>Hawaiia</i><span>,<span>&nbsp;</span></span><i>Vallonia</i><span>), by up to ~</span><span>&nbsp;</span><span>3‰. These isotopic offsets among sympatric taxa could be attributed to a number of physical, behavioral, and/or evolutionary traits, including the ability of larger species to tolerate drier conditions better than their smaller counterparts, differences in their preferred microhabitats or phylogentic non-independence. Regardless of the reason, our results imply that researchers should not combine isotopic data from different types of land snails without first investigating modern specimens to determine if it is appropriate. Moreover, our data suggest that combining instrumental climate data, a snail flux-balance model, and shell δ</span><sup>18</sup><span>O values can help us to better understand the ecology of land snails.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2017.07.029","usgsCitation":"Yanes, Y., Nekola, J.C., Rech, J.A., and Pigati, J., 2017, Oxygen stable isotopic disparities among sympatric small land snail species from northwest Minnesota, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 485, p. 715-722, https://doi.org/10.1016/j.palaeo.2017.07.029.","productDescription":"8 p.","startPage":"715","endPage":"722","ipdsId":"IP-088424","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1776162","text":"Publisher Index Page"},{"id":346883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.22351074218749,\n              46\n            ],\n            [\n              -95,\n              46\n            ],\n            [\n              -95,\n              48.99824008113872\n            ],\n            [\n              -97.22351074218749,\n              48.99824008113872\n            ],\n            [\n              -97.22351074218749,\n              46\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"485","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86831e4b05fe04cd4d1cc","contributors":{"authors":[{"text":"Yanes, Yurena","contributorId":197219,"corporation":false,"usgs":false,"family":"Yanes","given":"Yurena","email":"","affiliations":[],"preferred":false,"id":712969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":712970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rech, Jason A.","contributorId":117323,"corporation":false,"usgs":false,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":140289,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":712968,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189773,"text":"ofr20171094 - 2017 - Physical properties of sidewall cores from Decatur, Illinois","interactions":[],"lastModifiedDate":"2019-07-10T14:08:05","indexId":"ofr20171094","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1094","title":"Physical properties of sidewall cores from Decatur, Illinois","docAbstract":"<p class=\"m_178109152140646885gmail-m_9012447680801857155m_-3370804004180604171gmail-MsoTitle\">To better assess the reservoir conditions influencing the induced seismicity hazard near a carbon dioxide sequestration demonstration site in Decatur, Ill., core samples from three deep drill holes were tested to determine a suite of physical properties including bulk density, porosity, permeability, Young’s modulus, Poisson’s ratio, and failure strength. Representative samples of the shale cap rock, the sandstone reservoir, and the Precambrian basement were selected for comparison. Physical properties were strongly dependent on lithology. Bulk density was inversely related to porosity, with the cap rock and basement samples being both least porous (&lt;3 percent) and densest (~2.6 grams per cubic centimeter [g/cc]). Permeability was highest in the reservoir sandstones (10-15 to 10-18 meters squared [m2]) relative to the cap rock and basement rocks (&lt;10-21 m2). Young’s modulus was distinctly higher in the basement rocks (45 to 80 gigapascal [GPa]) compared to the cap rock and sandstones (19 to 57 GPa). Poisson’s ratio for the sandstones varied widely (0.14 to 0.27), but the highest values were similar to the cap rock and basement rocks (0.24 to 0.28). These physical properties reflect the layered structure of the reservoir and adjacent rocks at the Decatur site. However, within the sandstone there is a great deal of lithologic variety, accounting for the large range in physical parameters for this geologic unit.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171094","usgsCitation":"Morrow, C.A., Kaven, J.O., Moore, D.E., and Lockner, D.A., 2017, Physical properties of sidewall cores from Decatur, Illinois: U.S. Geological Survey Open-File Report 2017–1094, 21 p., https://doi.org/10.3133/ofr20171094.","productDescription":"v, 21 p.","numberOfPages":"27","onlineOnly":"Y","ipdsId":"IP-085446","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346914,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1094/ofr2017_1094.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1094"},{"id":346913,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1094/coverthb.jpg"}],"country":"United States","state":"Illinois","city":"Decatur","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.91,\n              39.87\n            ],\n            [\n              -88.870,\n              39.87\n            ],\n            [\n              -88.870,\n              39.9\n            ],\n            [\n              -88.91,\n              39.9\n            ],\n            [\n              -88.91,\n              39.87\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/\">USGS Earthquake Science Center<br></a><a href=\"https://usgs.gov/\" target=\"_blank\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road&nbsp;<br>Mail Stop 977&nbsp;<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Sample Description and Procedures<br></li><li>Results<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendixes<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-10-18","noUsgsAuthors":false,"publicationDate":"2017-10-18","publicationStatus":"PW","scienceBaseUri":"59e86833e4b05fe04cd4d1d5","contributors":{"authors":[{"text":"Morrow, Carolyn A. 0000-0003-3500-6181 cmorrow@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-6181","contributorId":3206,"corporation":false,"usgs":true,"family":"Morrow","given":"Carolyn","email":"cmorrow@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, J. Ole 0000-0003-2625-2786 okaven@usgs.gov","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":3993,"corporation":false,"usgs":true,"family":"Kaven","given":"J. Ole","email":"okaven@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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