{"pageNumber":"994","pageRowStart":"24825","pageSize":"25","recordCount":184717,"records":[{"id":70192057,"text":"70192057 - 2017 - Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker","interactions":[],"lastModifiedDate":"2017-10-19T15:58:32","indexId":"70192057","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker","docAbstract":"<p><span>Stream habitat restoration and supplemental stocking of hatchery-reared fish have increasingly become key components of recovery plans for imperiled freshwater fish; however, determining when to discontinue stocking efforts, prioritizing restoration areas, and evaluating restoration success present a conservation challenge. In this study, we demonstrate that otolith microchemistry is an effective tool for establishing natal origin of the June Sucker&nbsp;</span><i>Chasmistes liorus</i><span>, an imperiled potamodromous fish. This approach allows us to determine whether a fish is of wild or hatchery origin in order to assess whether habitat restoration enhances recruitment and to further identify areas of critical habitat. Our specific objectives were to (1) quantify and characterize chemical variation among three main spawning tributaries; (2) understand the relationship between otolith microchemistry and tributary chemistry; and (3) develop and validate a classification model to identify stream origin using otolith microchemistry data. We quantified molar ratios of Sr:Ca, Ba:Ca, and Mg:Ca for water and otolith chemistry from three main tributaries to Utah Lake, Utah, during the summer of 2013. Water chemistry (log</span><sub><i>e</i></sub><span><span>&nbsp;</span>transformed Sr:Ca, Ba:Ca, and Mg:Ca ratios) differed significantly across all three spawning tributaries. We determined that Ba:Ca and Sr:Ca ratios were the most important variables driving our classification models, and we observed a strong linear relationship between water and otolith values for Sr:Ca and Ba:Ca but not for Mg:Ca. Classification models derived from otolith element : Ca signatures accurately sorted individuals to their experimental tributary of origin (classification tree: 89% accuracy; random forest model: 91% accuracy) and determined wild versus hatchery origin with 100% accuracy. Overall, this study aids in evaluating the effectiveness of restoration, tracking progress toward recovery, and prioritizing future restoration plans for fishes of conservation concern. Our results have further application, such as identifying subpopulations that provide the greatest reproductive contribution to a metapopulation or finding the reproductive area and origin of invasive fishes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1301994","usgsCitation":"Strohm, D.D., Budy, P., and Crowl, T.A., 2017, Matching watershed and otolith chemistry to establish natal origin of an endangered desert lake sucker: Transactions of the American Fisheries Society, v. 146, no. 4, p. 732-743, https://doi.org/10.1080/00028487.2017.1301994.","productDescription":"12 p.","startPage":"732","endPage":"743","ipdsId":"IP-069787","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469888,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/00028487.2017.1301994","text":"External Repository"},{"id":347006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Utah Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.75704956054688,\n              40.158410030219486\n            ],\n            [\n              -111.65061950683594,\n              40.158410030219486\n            ],\n            [\n              -111.65061950683594,\n              40.247039698452085\n            ],\n            [\n              -111.75704956054688,\n              40.247039698452085\n            ],\n            [\n              -111.75704956054688,\n              40.158410030219486\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"59e9b995e4b05fe04cd65c92","contributors":{"authors":[{"text":"Strohm, Deanna D.","contributorId":197742,"corporation":false,"usgs":false,"family":"Strohm","given":"Deanna","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":714031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crowl, Todd A.","contributorId":197743,"corporation":false,"usgs":false,"family":"Crowl","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192458,"text":"70192458 - 2017 - Global Positioning System data collection, processing, and analysis conducted by the U.S. Geological Survey Earthquake Hazards Program","interactions":[],"lastModifiedDate":"2017-10-26T13:46:25","indexId":"70192458","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Global Positioning System data collection, processing, and analysis conducted by the U.S. Geological Survey Earthquake Hazards Program","docAbstract":"<p><span>The U.S. Geological Survey Earthquake Science Center collects and processes Global Positioning System (GPS) data throughout the western United States to measure crustal deformation related to earthquakes and tectonic processes as part of a long‐term program of research and monitoring. Here, we outline data collection procedures and present the GPS dataset built through repeated temporary deployments since 1992. This dataset consists of observations at ∼1950 locations. In addition, this article details our data processing and analysis procedures, which consist of the following. We process the raw data collected through temporary deployments, in addition to data from continuously operating western U.S. GPS stations operated by multiple agencies, using the GIPSY software package to obtain position time series. Subsequently, we align the positions to a common reference frame, determine the optimal parameters for a temporally correlated noise model, and apply this noise model when carrying out time‐series analysis to derive deformation measures, including constant interseismic velocities, coseismic offsets, and transient postseismic motion.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160204","usgsCitation":"Murray, J.R., and Svarc, J.L., 2017, Global Positioning System data collection, processing, and analysis conducted by the U.S. Geological Survey Earthquake Hazards Program: Seismological Research Letters, v. 88, no. 3, p. 916-925, https://doi.org/10.1785/0220160204.","productDescription":"10 p.","startPage":"916","endPage":"925","ipdsId":"IP-081230","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5a07e8f7e4b09af898c8cbdd","contributors":{"authors":[{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192603,"text":"70192603 - 2017 - Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales","interactions":[],"lastModifiedDate":"2017-10-31T16:46:52","indexId":"70192603","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales","docAbstract":"<p><span>Mount Cleveland volcano (1730&nbsp;m) is one of the most active volcanoes in the Aleutian arc, Alaska, but heightened activity is rarely accompanied by geophysical signals, which makes interpretation of the activity difficult. In this study, we combine volcanic gas emissions measured for the first time in August 2015 with longer-term measurements of thermal output and lava extrusion rates between 2011 and 2015 calculated from MODIS satellite data with the aim to develop a better understanding of the nature of volcanic activity at Mount Cleveland. Degassing measurements were made in the month following two explosive events (21 July and 7 August 2015) and during a period of new dome growth in the summit crater. SO</span><sub>2</sub><span><span>&nbsp;</span>emission rates ranged from 400 to 860&nbsp;t&nbsp;d</span><sup>−&nbsp;1</sup><span><span>&nbsp;</span>and CO</span><sub>2</sub><span>/SO</span><sub>2</sub><span><span>&nbsp;</span>ratios were &lt;&nbsp;3, consistent with the presence of shallow magma in the conduit and the observed growth of a new lava dome. Thermal anomalies derived from MODIS data from 2011 to 2015 had an average repose time of only 4&nbsp;days, pointing to the continuous nature of volcanic activity at this volcano. Rapid increases in the cumulative thermal output were often coincident with visual confirmation of dome growth or accumulations of tephra in the crater. The average rate of lava extrusion calculated for 9 periods of rapid increase in thermal output was 0.28&nbsp;m</span><sup>3</sup><span>&nbsp;s</span><sup>−&nbsp;1</sup><span>, and the total volume extruded from 2011 to 2015 was 1.9–5.8&nbsp;Mm</span><sup>3</sup><span>. The thermal output from the lava extrusion events only accounts for roughly half of the thermal budget, suggesting a continued presence of shallow magma in the upper conduit, likely driven by convection. Axisymmetric dome morphology and occasional drain back of lava into the conduit suggests low-viscosity magmas drive volcanism at Mount Cleveland. It follows also that only small overpressures can be maintained given the small domes and fluid magmas, which is consistent with the low explosivity of most of Mount Cleveland's eruptions. Changes between phases of dome growth and explosive activity are somewhat unpredictable and likely result from plugs that are related to the dome obtaining a critical dimension, or from small variations in the magma ascent rate that lead to crystallization-induced blockages in the upper conduit, thereby reducing the ability of magma to degas. We suggest the small magma volumes, slow ascent rates, and low magma viscosity lead to the overall lack of anomalous geophysical signals prior to eruptions, and that more continuous volcanic degassing measurements might lead to more successful eruption forecasting at this continuously-active open-vent volcano.</span></p>","language":"English","publisher":"Elsever","doi":"10.1016/j.jvolgeores.2017.03.001","usgsCitation":"Werner, C., Kern, C., Coppola, D., Lyons, J.J., Kelly, P.J., Wallace, K.L., Schneider, D.J., and Wessels, R., 2017, Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales: Journal of Volcanology and Geothermal Research, v. 337, p. 98-110, https://doi.org/10.1016/j.jvolgeores.2017.03.001.","productDescription":"13 p.","startPage":"98","endPage":"110","ipdsId":"IP-081346","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469894,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/2318/1652262","text":"Publisher Index Page"},{"id":347945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Cleveland Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -171.650390625,\n              52.22443459871999\n            ],\n            [\n              -166.57470703125,\n              52.22443459871999\n            ],\n            [\n              -166.57470703125,\n              54.04971418210692\n            ],\n            [\n              -171.650390625,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":716518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coppola, Diego","contributorId":190919,"corporation":false,"usgs":false,"family":"Coppola","given":"Diego","email":"","affiliations":[],"preferred":false,"id":716520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":716521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":716522,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":716523,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":716524,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wessels, Rick 0000-0001-9711-6402 rwessels@usgs.gov","orcid":"https://orcid.org/0000-0001-9711-6402","contributorId":198602,"corporation":false,"usgs":true,"family":"Wessels","given":"Rick","email":"rwessels@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":716525,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192744,"text":"70192744 - 2017 - The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","interactions":[],"lastModifiedDate":"2017-11-13T14:19:34","indexId":"70192744","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","docAbstract":"<p>We assessed &gt;&nbsp;100&nbsp;years of mercury (Hg) pollution recorded in the tree rings of Scots Pine near a Czech chlor-alkali plant operating since 1941. Hg concentrations in tree rings increased with the launching of plant operations and decreased when Hg emissions decreased in 1975 due to an upgrade in production technology. Similar to traditional bioindicators of pollution such as pine needles, bark and forest floor humus, Hg concentrations in Scots Pine boles decreased with distance from the plant. Mean Hg in pine bole in the 1940s ranged from 32.5&nbsp;μg/kg Hg at a distance of 0.5&nbsp;km from the plant to 5.4&nbsp;μg/kg at a distance of &gt;&nbsp;4.7&nbsp;km, where tree ring Hg was the same as at a reference site, and other bioindicators also suggest that the effect of the plant was no longer discernible. Tree ring Hg concentrations decreased by 8–29&nbsp;μg/kg since the 1940s at all study sites including the reference site. The lack of exact correspondence between changes at the plant and tree ring Hg indicated some smearing of the signal due to lateral translocation of Hg from sapwood to heartwood. Bole Hg concentrations reflected local and regional atmospheric Hg concentrations, and not Hg wet deposition.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.02.112","usgsCitation":"Navrátil, T., Simecek, M., Shanley, J.B., Rohovec, J., Hojdova, M., and Houska, J., 2017, The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators: Science of the Total Environment, v. 586, https://doi.org/10.1016/j.scitotenv.2017.02.112.","productDescription":"11 p.","startPage":"1192","ipdsId":"IP-083992","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":348713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Czech Republic","city":"Neratovice","otherGeospatial":"Spolana chlor-alkali plant","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.4580078125,\n              50.20898843999949\n            ],\n            [\n              14.590530395507812,\n              50.20898843999949\n            ],\n            [\n              14.590530395507812,\n              50.3077613106073\n            ],\n            [\n              14.4580078125,\n              50.3077613106073\n            ],\n            [\n              14.4580078125,\n              50.20898843999949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"586","edition":"1182","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d7","contributors":{"authors":[{"text":"Navrátil, Tomáš","contributorId":149720,"corporation":false,"usgs":false,"family":"Navrátil","given":"Tomáš","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simecek, Martin","contributorId":198385,"corporation":false,"usgs":false,"family":"Simecek","given":"Martin","email":"","affiliations":[{"id":35216,"text":"Institute of Geology AS CR, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohovec, Jan","contributorId":149721,"corporation":false,"usgs":false,"family":"Rohovec","given":"Jan","email":"","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hojdova, Maria","contributorId":198685,"corporation":false,"usgs":false,"family":"Hojdova","given":"Maria","email":"","affiliations":[{"id":35739,"text":"Institute of Geology of CAS, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houska, Jakub","contributorId":198386,"corporation":false,"usgs":false,"family":"Houska","given":"Jakub","email":"","affiliations":[{"id":29875,"text":"Czech University of Life Sciences, Praha 6-Suchdol, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716811,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70074784,"text":"sim2932A - 2017 - Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii","interactions":[],"lastModifiedDate":"2024-05-23T22:01:59.158496","indexId":"sim2932A","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2932-A","displayTitle":"Geologic Map of the Northeast Flank of Mauna Loa Volcano, Island of Hawai'i, Hawaii","title":"Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii","docAbstract":"<h1>Summary</h1><p>Mauna Loa, the largest volcano on Earth, has erupted 33 times since written descriptions became available in 1832. Some eruptions were preceded by only brief seismic unrest, while others followed several months to a year of increased seismicity.</p><p>The majority of the eruptions of Mauna Loa began in the summit area (&gt;12,000-ft elevation; Lockwood and Lipman, 1987); yet the Northeast Rift Zone (NERZ) was the source of eight flank eruptions since 1843 (table 1). This zone extends from the 13,680-ft-high summit towards Hilo (population ~60,000), the second largest city in the State of Hawaii. Although most of the source vents are farther than 30 km away, the 1880 flow from one of the vents extends into Hilo, nearly reaching Hilo Bay. The city is built entirely on flows erupted from the NERZ, most older than that erupted in 1843.</p><p>Once underway, Mauna Loa's eruptions can produce lava flows that reach the sea in less than 24 hours, severing roads and utilities in their path. For example, lava flows erupted from the Southwest Rift Zone (SWRZ) in 1950 advanced at an average rate of 9.3 km per hour, and all three lobes reached the ocean within approximately 24 hours (Finch and Macdonald, 1953). The flows near the eruptive vents must have traveled even faster.</p><p>In terms of eruption frequency, pre-eruption warning, and rapid flow emplacement, Mauna Loa poses an enormous volcanic-hazard threat to the Island of Hawai‘i. By documenting past activity and by alerting the public and local government officials of our findings, we can anticipate the volcanic hazards and substantially mitigate the risks associated with an eruption of this massive edifice.</p><p>From the geologic record, we can deduce several generalized facts about the geologic history of the NERZ. The middle to the uppermost section of the rift zone were more active in the past 4,000 years than the lower part, perhaps due to buttressing of the lower east rift zone by Mauna Kea and Kīlauea volcanoes. The historical flows that erupted on the north flank of the rift zone, which is more vulnerable to inundation, advanced toward Hilo. Lockwood (1990) noted that the vents of historical activity are migrating to the south. The volcano appears to have a self-regulating mechanism that evenly distributes long-term activity across its flanks. The geologic record also supports this notion; the time prior to the historical period (Age Group 1, orange units, pre-A.D. 1843–1,000 yr B.P.; see map sheet 2) is dominated by activity on the south side of the NERZ.</p><p>The NERZ trends N. 65° E. and is about 40 km long and 2–4 km wide, narrowing at the summit caldera. It becomes diffuse (6–7 km wide) at its down-rift terminus, at the approximately 3,400-ft elevation. Its constructional crest is marked by low spatter ramparts and by spatter cones as high as 60 m. Subparallel eruptive fissures and ground cracks cut vent deposits and flows in and near the rift crest. Lava typically flows to the north, east, or south, depending on vent location relative to the rift crest.</p><p>Encompassing 1,140 km<sup>2</sup> of the northeast flank of Mauna Loa from the 10,880-ft elevation to sea level, the map covers the area from Hilo to Volcano on the east and includes the rift zone from Puu Ulaula quadrangle in the southwest to Hilo in the northeast. The distribution of 105 eruptive units (flows)—separated into 15 age groups ranging from more than 30,000 years B.P. to A.D. 1984—are shown, as well as the relations of volcanic and surficial sedimentary deposits. This map incorporates previously reported work published in generalized small-scale maps (Lockwood and Lipman, 1987; Buchanan-Banks, 1993; Lockwood, 1995; and Wolfe and Morris, 1996).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2932A","usgsCitation":"Trusdell, F.A., and Lockwood, J.P., 2017, Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii: U.S. Geological Survey Scientific Investigations Map 2932–A, pamphlet 25 p., 2 sheets, scale 1:50,000, https://doi.org/10.3133/sim2932A.","productDescription":"Pamphlet: ii, 25 p.; 2 Sheets: 54.66 x 29.17 inches and 46.11 x 28.85 inches; Data Table; Metadata; Read Me; Geospatial Data","ipdsId":"IP-054350","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":429219,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932E","text":"Scientific Investigations Map 2932-E","linkHelpText":"- Geologic Map of the Northwest Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":374329,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932C","text":"Scientific Investigations Map 2932-C","linkHelpText":"- Geologic Map of the Southern Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":374328,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932B","text":"Scientific Investigations Map 2932-B","linkHelpText":"- Geologic Map of the Central-Southeast Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":340642,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_geospatialdata.zip","text":"Geospatial data","size":"6.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 2932-A Geospatial data"},{"id":340641,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_geochemical_data_table_2017.xlsx","text":"Geochemical data table 2017","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 2932-A Geochemical data table 2017"},{"id":340640,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_metadata.zip","size":"217 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 2932-A Metadata"},{"id":340638,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_sheet1.pdf","text":"Sheet 1","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Sheet 1"},{"id":340637,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_pamphlet.pdf","text":"Pamphlet","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Pamphlet"},{"id":340636,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/2932/a/coverthb.jpg"},{"id":340643,"rank":8,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_readme.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 2932-A Readme"},{"id":340639,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_sheet2.pdf","text":"Sheet 2","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Sheet 2"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawai'i, Mauna Loa Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.5,\n              19.5\n            ],\n            [\n              -154.75,\n              19.5\n            ],\n            [\n              -154.75,\n              19.75\n            ],\n            [\n              -155.5,\n              19.75\n            ],\n            [\n              -155.5,\n              19.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\">Contact HVO</a><br><a href=\"https://hvo.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://hvo.wr.usgs.gov/\">Volcano Science Center, Hawaiian Volcano Observatory</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-05-01","noUsgsAuthors":false,"publicationDate":"2017-05-01","publicationStatus":"PW","scienceBaseUri":"59084923e4b0fc4e448ffd42","contributors":{"authors":[{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":518515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockwood, John P. 0000-0002-6562-0222","orcid":"https://orcid.org/0000-0002-6562-0222","contributorId":30976,"corporation":false,"usgs":true,"family":"Lockwood","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":518516,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187423,"text":"70187423 - 2017 - Datasheet: Pseudogymnoascus destructans (white-nose syndrome fungus)","interactions":[],"lastModifiedDate":"2018-01-03T11:17:55","indexId":"70187423","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Datasheet: Pseudogymnoascus destructans (white-nose syndrome fungus)","docAbstract":"Pseudogymnoascus destructans is a psychrophilic (cold-loving) fungus that causes white-nose syndrome (WNS), an emerging disease of North American bats that has caused unprecedented population declines. The fungus is believed to have been introduced to North America from Europe or Asia (where it is present but does not cause significant mortality), but the full extent of its native range is unknown. The route of introduction is also unknown. In North America, hibernating bats become infected with P. destructans when body temperature decreases during winter torpor into the range permissive for growth of this fungus. Infected bats may develop visible fungal growth on the nose or wings, awaken more frequently from torpor, and experience a cascade of physiologic changes that result in weight loss, dehydration, electrolyte imbalances, and death. P. destructans persists in the environments of underground bat hibernation sites (hibernacula) and is believed to spread primarily by natural movements of infected bats. The first evidence of WNS in North America is from a photograph of a hibernating bat taken during winter of 2005-2006 in a hibernaculum near Albany, New York. P. destructans subsequently spread rapidly from the northeastern United States throughout much of the eastern portions of the United States and Canada, and most recently (as of May 2017) was detected in Washington State. It has killed millions of bats, threatening some species with regional extirpation and putting at risk the valuable environmental services that bats provide by eating harmful insects.","largerWorkTitle":"Invasive species compendium","language":"English","publisher":"Centre for Agriculture and Biosciences International","usgsCitation":"Blehert, D.S., and Lankau, E.W., 2017, Datasheet: Pseudogymnoascus destructans (white-nose syndrome fungus), chap. <i>of</i> Invasive species compendium, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-084223","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":340751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340748,"type":{"id":15,"text":"Index Page"},"url":"https://www.cabi.org/isc/datasheet/119002"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157e8","contributors":{"authors":[{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":693988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lankau, Emily W. 0000-0002-7094-7780 elankau@usgs.gov","orcid":"https://orcid.org/0000-0002-7094-7780","contributorId":175270,"corporation":false,"usgs":true,"family":"Lankau","given":"Emily","email":"elankau@usgs.gov","middleInitial":"W.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":693989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192141,"text":"70192141 - 2017 - Reconstructing a herbivore’s diet using a novel rbcL DNA mini-barcode for plants","interactions":[],"lastModifiedDate":"2018-03-29T13:32:36","indexId":"70192141","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5538,"text":"AoB PLANTS","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing a herbivore’s diet using a novel rbcL DNA mini-barcode for plants","docAbstract":"<p><span>Next Generation Sequencing and the application of metagenomic analyses can be used to answer questions about animal diet choice and study the consequences of selective foraging by herbivores. The quantification of herbivore diet choice with respect to native versus exotic plant species is particularly relevant given concerns of invasive species establishment and their effects on ecosystems. While increased abundance of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) appears to correlate with increased incidence of invasive plant species, data supporting a causal link is scarce. We used a metabarcoding approach (PCR amplicons of the plant<span>&nbsp;</span></span><i>rbc</i><span>L gene) to survey the diet of white-tailed deer (fecal samples), from a forested site in Warren County, Virginia with a comprehensive plant species inventory and corresponding reference collection of plant barcode and chloroplast sequences. We sampled fecal pellet piles and extracted DNA from 12 individual deer in October 2014. These samples were compared to a reference DNA library of plant species collected within the study area. For 72 % of the amplicons, we were able to assign taxonomy at the species level, which provides for the first time—sufficient taxonomic resolution to quantify the relative frequency at which native and exotic plant species are being consumed by white-tailed deer. For each of the 12 individual deer we collected three subsamples from the same fecal sample, resulting in sequencing 36 total samples. Using Qiime, we quantified the plant DNA found in all 36 samples, and found that variance within samples was less than variance between samples (</span><i>F</i><span> = 1.73,<span>&nbsp;</span></span><i>P</i><span> = 0.004), indicating additional subsamples may not be necessary. Species level diversity ranged from 60 to 93 OTUs per individual and nearly 70 % of all plant sequences recovered were from native plant species. The number of species detected did reduce significantly (range 4–12) when we excluded species whose OTU composed &lt;1 % of each sample’s total. When compared to the abundance of native and non-natives plants inventoried in the local community, our results support the observation that white-tailed deer have strong foraging preferences, but these preferences were not consistent for species in either class. Deer forage behaviour may favour some exotic species, but not all.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/aobpla/plx015","usgsCitation":"Erickson, D.L., Reed, E., Ramachandran, P., Bourg, N., McShea, W.J., and Ottesen, A., 2017, Reconstructing a herbivore’s diet using a novel rbcL DNA mini-barcode for plants: AoB PLANTS, v. 9, no. 3, p. 1-17, https://doi.org/10.1093/aobpla/plx015.","productDescription":"Article plx015; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-084958","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/aobpla/plx015","text":"Publisher Index Page"},{"id":352162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-21","publicationStatus":"PW","scienceBaseUri":"5afee886e4b0da30c1bfc464","contributors":{"authors":[{"text":"Erickson, David L.","contributorId":197853,"corporation":false,"usgs":false,"family":"Erickson","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Elizabeth","contributorId":197854,"corporation":false,"usgs":false,"family":"Reed","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":714430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramachandran, Padmini","contributorId":197855,"corporation":false,"usgs":false,"family":"Ramachandran","given":"Padmini","email":"","affiliations":[],"preferred":false,"id":714431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bourg, Norman 0000-0002-7443-1992 nbourg@usgs.gov","orcid":"https://orcid.org/0000-0002-7443-1992","contributorId":197809,"corporation":false,"usgs":true,"family":"Bourg","given":"Norman","email":"nbourg@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McShea, William J.","contributorId":197834,"corporation":false,"usgs":false,"family":"McShea","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ottesen, Andrea","contributorId":197856,"corporation":false,"usgs":false,"family":"Ottesen","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":714433,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189491,"text":"70189491 - 2017 - Continued feeding on Diporeia by deepwater sculpin in Lake Huron","interactions":[],"lastModifiedDate":"2018-03-28T11:17:16","indexId":"70189491","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Continued feeding on <i>Diporeia</i> by deepwater sculpin in Lake Huron","title":"Continued feeding on Diporeia by deepwater sculpin in Lake Huron","docAbstract":"<p><span>Monitoring changes in diets of fish is essential to understanding how food web dynamics respond to changes in native prey abundances. In the Great Lakes,&nbsp;</span><i class=\"EmphasisTypeItalic \">Diporeia,</i><span><span>&nbsp;</span>a benthic macroinvertebrate and primary food of native benthivores, declined following the introduction of invasive<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Dreissena</i><span><span>&nbsp;</span>mussels and these changes were reflected in fish diets. We examined the diets of deepwater sculpin<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Myoxocephalus thompsonii</i><span><span>&nbsp;</span>collected in bottom trawls during 2010–2014 in the main basin of Lake Huron, and compared these results to an earlier diet study (2003–2005) to assess if their diets have continued to change after a prolonged period of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Dreissena</i><span><span>&nbsp;</span>mussel invasion and declined<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Diporeia</i><span><span>&nbsp;</span>densities.<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Diporeia</i><span>,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Mysis</i><span>,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Bythotrephes</i><span>, and Chironomidae were consumed regularly and other diet items included ostracods, copepods, sphaerid clams, and fish eggs. The prey-specific index of relative importance calculated for each prey group indicated that<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Mysis</i><span><span>&nbsp;</span>importance increased at shallow (≤55&nbsp;m) and mid (64–73&nbsp;m) depths, while<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Diporeia</i><span><span>&nbsp;</span>importance increased offshore (≥82&nbsp;m). The average number of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Diporeia</i><span><span>&nbsp;</span>consumed per fish increased by 10.0% and<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Mysis</i><span><span>&nbsp;</span>decreased by 7.5%, while the frequency of occurrence of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Diporeia</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Mysis</i><span><span>&nbsp;</span>remained comparable between time periods. The weight of adult deepwater sculpin (80&nbsp;mm and 100&nbsp;mm TL bins) increased between time periods; however, the change in weight was only significant for the 80&nbsp;mm TL group (</span><i class=\"EmphasisTypeItalic \">p</i><span> &lt; 0.01). Given the historical importance of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Diporeia</i><span><span>&nbsp;</span>in the Great Lakes, the examination of deepwater sculpin diets provides unique insight into the trophic dynamics of the benthic community in Lake Huron.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-016-0568-8","usgsCitation":"Thompson, P., Roseman, E., Keeler, K.M., O’Brien, T.P., and Bowser, D., 2017, Continued feeding on Diporeia by deepwater sculpin in Lake Huron: Environmental Biology of Fishes, v. 100, no. 4, p. 407-419, https://doi.org/10.1007/s10641-016-0568-8.","productDescription":"13 p.","startPage":"407","endPage":"419","ipdsId":"IP-071146","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":344138,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7FX77MK","text":"Diets of Deepwater Sculpin collected from fall forage (2003-05 and 2010-14) in Lake Huron"},{"id":343825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.847412109375,\n              42.79540065303723\n            ],\n            [\n              -81.090087890625,\n              42.79540065303723\n            ],\n            [\n              -81.090087890625,\n              46.46813299215554\n            ],\n            [\n              -84.847412109375,\n              46.46813299215554\n            ],\n            [\n              -84.847412109375,\n              42.79540065303723\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"4","noUsgsAuthors":false,"publicationDate":"2016-12-28","publicationStatus":"PW","scienceBaseUri":"5968869de4b0d1f9f05f5974","contributors":{"authors":[{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":704903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":534,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":704904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeler, Kevin M. 0000-0002-8118-0060 kkeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-8118-0060","contributorId":4377,"corporation":false,"usgs":true,"family":"Keeler","given":"Kevin","email":"kkeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":704905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":704906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowser, Dustin dbowser@usgs.gov","contributorId":145563,"corporation":false,"usgs":true,"family":"Bowser","given":"Dustin","email":"dbowser@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":704907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200778,"text":"70200778 - 2017 - Freshwater mussels (Unionidae): Central and West Texas Final Report","interactions":[],"lastModifiedDate":"2019-10-14T11:51:17","indexId":"70200778","displayToPublicDate":"2017-04-30T11:50:48","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Freshwater mussels (Unionidae): Central and West Texas Final Report","docAbstract":"The goal of this study was two-fold: (1) assess the taxonomic identity and phylogenetic\nplacement of Quadrula aurea (Golden Orb) [Federal Candidate], Quadrula houstonensis\n(Smooth Pimpleback) [Federal Candidate], and Quadrula petrina (Texas Pimpleback) [Federal\nCandidate] through mitochondrial and nuclear DNA sequencing; and (2) provided additional\ninformation on the distribution and abundance for mussel species petitioned for listing under\nESA through field surveys in portions of several major rivers in Central and West Texas. The\nfinal report is organized by 4 research tasks as per contract (see Appendix A) and submitted\nproposals. Below is an outline of goal-oriented tasks for this project:\n\nTask 1 – Conduct comprehensive surveys of portions of the Brazos, Colorado, and Guadalupe\nRiver basins\nTask 2 – Conduct comprehensive surveys of portions of the Rio Grande Basin\nTask 3 – Develop conservation status assessment maps for 9 state-threatened mussel species in Texas\nTask 4 – Delineate species boundaries, test for cryptic species, and assess phylogenetic\nrelationships for threatened Texas mussel species in the genus Quadrula\nNote the following 2 tasks were either not funded in the current contract or was a modification of\nthe contract and added as a project deliverable:\nTask 5 – Delineate species boundaries, test for cryptic species, and assess phylogenetic\nrelationships for east Texas mussel species in the genus Fusconaia (Not Funded)\nTask 6 – Evaluate the conservation status of Texas hornshell and other mussels in the Pecos and Devils Rivers (Contract amendment, results combined with Task 2).\n\nDetailed descriptions of the research tasks and findings are found within each chapter of the\nreport. Here, we outline and summarize project deliverables and major findings for each task.","largerWorkTitle":"Texas A&M Institute of Renewable Natural Resources","language":"English","publisher":"Texas A&M Institute of Renewable Natural Resources","usgsCitation":"Randklev, C.R., Johnson, N., Miller, T.J., Morton, J., Dudding, J., Skow, K., Boseman, B., Hart, M., Tsakiris, E., Inoue, K., and Lopez, R., 2017, Freshwater mussels (Unionidae): Central and West Texas Final Report, 321 p.","productDescription":"321 p.","ipdsId":"IP-086774","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":368307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368306,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://comptroller.texas.gov/programs/natural-resources/research/ongoing-studies/ctfm/"}],"country":"United 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,{"id":70189115,"text":"70189115 - 2017 - Different historical fire–climate patterns in California","interactions":[],"lastModifiedDate":"2017-06-30T10:03:08","indexId":"70189115","displayToPublicDate":"2017-04-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Different historical fire–climate patterns in California","docAbstract":"The relationship between annual variation in area burned and seasonal temperatures and precipitation was investigated for the major climate divisions in California. Historical analyses showed marked differences in fires on montane and foothill landscapes. Based on roughly a century of data, there are five important lessons on fire–climate relationships in California: (1) seasonal variations in temperature appear to have had minimal influence on area burned in the lower elevation, mostly non-forested, landscapes; (2) temperature has been a significant factor in controlling fire activity in higher elevation montane forests, but this varied greatly with season – winter and autumn temperatures showed no significant effect, whereas spring and summer temperatures were important determinants of area burned; (3) current season precipitation has been a strong controller of fire activity in forests, with drier years resulting in greater area burned on most United States Forest Service (USFS) lands in the state, but the effect of current-year precipitation was decidedly less on lower elevation California Department of Forestry and Fire Protection lands; (4) in largely grass-dominated foothills and valleys the magnitude of prior-year rainfall was positively tied to area burned in the following year, and we hypothesise that this is tied to greater fuel volume in the year following high rainfall. In the southern part of the state this effect has become stronger in recent decades and this likely is due to accelerated type conversion from shrubland to grassland in the latter part of the 20th century; (5) the strongest fire–climate models were on USFS lands in the Sierra Nevada Mountains, and these explained 42–52% of the variation in area burned; however, the models changed over time, with winter and spring precipitation being the primary drivers in the first half of the 20th century, but replaced by spring and summer temperatures after 1960.","language":"English","publisher":"CSIRO","doi":"10.1071/WF16102","usgsCitation":"Keeley, J.E., and Syphard, A.D., 2017, Different historical fire–climate patterns in California: International Journal of Wildland Fire, v. 26, no. 4, p. 253-268, https://doi.org/10.1071/WF16102.","productDescription":"16 p.","startPage":"253","endPage":"268","ipdsId":"IP-076455","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70188844,"text":"70188844 - 2017 - Instrumentation development for In Situ 40Ar/39Ar planetary geochronology","interactions":[],"lastModifiedDate":"2017-08-09T17:14:18","indexId":"70188844","displayToPublicDate":"2017-04-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Instrumentation development for In Situ <sup>40</sup>Ar/ <sup>39</sup> Ar planetary geochronology","title":"Instrumentation development for In Situ 40Ar/39Ar planetary geochronology","docAbstract":"<p><span>The chronology of the Solar System, particularly the timing of formation of extra-terrestrial bodies and their features, is an outstanding problem in planetary science. Although various chronological methods for </span><i>in&nbsp;situ</i><span> geochronology have been proposed (e.g., Rb-Sr, K-Ar), and even applied (K-Ar), the reliability, accuracy, and applicability of the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar method makes it by far the most desirable chronometer for dating extra-terrestrial bodies. The method however relies on the neutron irradiation of samples, and thus a neutron source. Herein, we discuss the challenges and feasibility of deploying a passive neutron source to planetary surfaces for the </span><i>in&nbsp;situ</i><span> application of the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar chronometer. Requirements in generating and shielding neutrons, as well as analysing samples are described, along with an exploration of limitations such as mass, power and cost. Two potential solutions for the </span><i>in&nbsp;situ</i><span> extra-terrestrial deployment of the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar method are presented. Although this represents a challenging task, developing the technology to apply the </span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar method on planetary surfaces would represent a major advance towards constraining the timescale of solar system formation and evolution.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ggr.12170","usgsCitation":"Morgan, L.E., Munk, M., Davidheiser-Kroll, B., Warner, N.H., Gupta, S., Slaybaugh, R., Harkness, P., and Mark, D., 2017, Instrumentation development for In Situ 40Ar/39Ar planetary geochronology: Geostandards and Geoanalytical Research, v. 41, no. 3, p. 381-396, https://doi.org/10.1111/ggr.12170.","productDescription":"16 p. ","startPage":"381","endPage":"396","ipdsId":"IP-064656","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ggr.12170","text":"Publisher Index Page"},{"id":342879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-30","publicationStatus":"PW","scienceBaseUri":"59521d1fe4b062508e3c3665","contributors":{"authors":[{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munk, Madicken","contributorId":193498,"corporation":false,"usgs":false,"family":"Munk","given":"Madicken","email":"","affiliations":[],"preferred":false,"id":700626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidheiser-Kroll, Brett","contributorId":176175,"corporation":false,"usgs":false,"family":"Davidheiser-Kroll","given":"Brett","email":"","affiliations":[],"preferred":false,"id":700627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, Nicholas H.","contributorId":193499,"corporation":false,"usgs":false,"family":"Warner","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":700628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":700629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slaybaugh, Rachel","contributorId":193500,"corporation":false,"usgs":false,"family":"Slaybaugh","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":700630,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harkness, Patrick","contributorId":193501,"corporation":false,"usgs":false,"family":"Harkness","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":700631,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mark, Darren","contributorId":193502,"corporation":false,"usgs":false,"family":"Mark","given":"Darren","affiliations":[],"preferred":false,"id":700632,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70197036,"text":"70197036 - 2017 - Comparative precision of age estimates from two southern reservoir populations of paddlefish [Polyodon spathula (Walbaum, 1792)]","interactions":[],"lastModifiedDate":"2018-05-15T09:20:14","indexId":"70197036","displayToPublicDate":"2017-04-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative precision of age estimates from two southern reservoir populations of paddlefish [<i>Polyodon spathula</i> (Walbaum, 1792)]","title":"Comparative precision of age estimates from two southern reservoir populations of paddlefish [Polyodon spathula (Walbaum, 1792)]","docAbstract":"<p><span>The aim of the study was to determine whether location and sex affected the age precision estimates between two southern, reservoir populations of paddlefish [</span><i>Polyodon spathula</i><span><span>&nbsp;</span>(Walbaum, 1792)]. From 589 paddlefish collected in Grand Lake and Keystone Lake, Oklahoma in 2011, ages from dentaries were estimated using three independent readers and precision was compared with coefficient of variation between locations and sexes. Ages were more precisely estimated from Grand Lake and from females.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.13394","usgsCitation":"Long, J.M., and Nealis, A., 2017, Comparative precision of age estimates from two southern reservoir populations of paddlefish [Polyodon spathula (Walbaum, 1792)]: Journal of Applied Ichthyology, v. 33, no. 4, p. 819-820, https://doi.org/10.1111/jai.13394.","productDescription":"2 p.","startPage":"819","endPage":"820","ipdsId":"IP-069058","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13394","text":"Publisher Index Page"},{"id":354164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Grand Lake, Keystone Lake","geographicExtents":"{\n  \"type\": 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,{"id":70187310,"text":"70187310 - 2017 - Ecological regime shift drives declining growth rates of sea turtles throughout the West Atlantic","interactions":[],"lastModifiedDate":"2017-10-08T11:38:18","indexId":"70187310","displayToPublicDate":"2017-04-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological regime shift drives declining growth rates of sea turtles throughout the West Atlantic","docAbstract":"<p>Somatic growth is an integrated, individual-based response to environmental conditions, especially in ectotherms. Growth dynamics of large, mobile animals are particularly useful as bio-indicators of environmental change at regional scales. We assembled growth rate data from throughout the West Atlantic for green turtles, <i>Chelonia mydas</i>, which are long-lived, highly migratory, primarily herbivorous mega-consumers that may migrate over hundreds to thousands of kilometers. Our dataset, the largest ever compiled for sea turtles, has 9690 growth increments from 30 sites from Bermuda to Uruguay from 1973 to 2015. Using generalized additive mixed models, we evaluated covariates that could affect growth rates; body size, diet, and year have significant effects on growth. Growth increases in early years until 1999, then declines by 26% to 2015. The temporal (year) effect is of particular interest because two carnivorous species of sea turtles – hawksbills, <i>Eretmochelys imbricata,</i> and loggerheads, <i>Caretta caretta</i> – exhibited similar significant declines in growth rates starting in 1997 in the West Atlantic, based on previous studies. These synchronous declines in productivity among three sea turtle species across a trophic spectrum provide strong evidence that an ecological regime shift (ERS) in the Atlantic is driving growth dynamics. The ERS resulted from a synergy of the 1997/1998 El Niño Southern Oscillation (ENSO) – the strongest on record – combined with an unprecedented warming rate over the last two to three decades. Further support is provided by the strong correlations between annualized mean growth rates of green turtles and both sea surface temperatures (SST) in the West Atlantic for years of declining growth rates (<i>r</i> = -0.94) and the Multivariate ENSO Index (MEI) for all years (<i>r</i> = 0.74). Granger-causality analysis also supports the latter finding. We discuss multiple stressors that could reinforce and prolong the effect of the ERS. This study demonstrates the importance of region-wide collaborations.</p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13712","usgsCitation":"Bjorndal, K.A., Bolten, A.B., Chaloupka, M., Saba, V.S., Bellini, C., Marcovaldi, M.A., Santos, A.J., Bortolon, L.F., Meylan, A.B., Meylan, P.A., Gray, J., Hardy, R., Brost, B., Bresette, M., Gorham, J.C., Connett, S., Crouchley, B.V., Dawson, M., Hayes, D., Diez, C.E., van Dam, R.P., Willis, S., Nava, M., Hart, K.M., Cherkiss, M.S., Crowder, A., Pollock, C., Hillis-Starr, Z., Munoz Teneria, F.A., Herrera-Pavon, R., Labrada-Martagon, V., Lorences, A., Negrete-Philippe, A., Lamont, M.M., Foley, A., Bailey, R., Carthy, R.R., Scarpino, R., McMichael, E., Provancha, J.A., Brooks, A., Jardim, A., Lopez-Mendilaharsu, M., Gonzalez-Paredes, D., Estrades, A., Fallabrino, A., Martinez-Souza, G., Velez-Rubio, G.M., Boulon, R., Collazo, J., Wershoven, R., Hernandez, V.G., Stringell, T.B., Sanghera, A., Richardson, P.B., Broderick, A.C., Phillips, Q., Calosso, M.C., Claydon, J.A., Metz, T.L., Gordon, A.L., Landry, A.M., Shaver, D.J., Blumenthal, J., Collyer, L., Godley, B.J., McGowan, A., Witt, M.J., Campbell, C.L., Lagueux, C.J., Bethel, T.L., and Kenyon, L., 2017, Ecological regime shift drives declining growth rates of sea turtles throughout the West Atlantic: Global Change Biology, v. 23, no. 11, p. 4556-4568, https://doi.org/10.1111/gcb.13712.","productDescription":"13 p.","startPage":"4556","endPage":"4568","ipdsId":"IP-082634","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":340590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantic Ocean","volume":"23","issue":"11","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549ae4b022cee40dc218","contributors":{"authors":[{"text":"Bjorndal, Karen 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,{"id":70187349,"text":"70187349 - 2017 - Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA)","interactions":[],"lastModifiedDate":"2017-05-01T14:55:44","indexId":"70187349","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA)","docAbstract":"<p><span>Saline-surface crusts and their compositions at ephemeral, dry, and drying lakes are important products of arid-land processes. Detailed understanding is lacking, however, about interactions among locally variable hydrogeologic conditions, compositional control of groundwater on vadose zone and surface salts, and dust composition. Chemical and physical data from groundwater, sediments, and salts reveal compositional controls on saline-surface crusts across a wet playa, Mojave Desert, with bearing on similar settings elsewhere. The compositions of chemically and isotopically distinctive shallow (&lt;3&nbsp;m) water masses are recorded in the composition of associated salts. In areas with deeper and more saline groundwater, however, not all ions are transported through the vadose zone. Retention of arsenic and other elements in the vadose zone diminishes the concentrations of potentially toxic elements in surface salts, but creates a reservoir of these elements that may be brought to the surface during wetter conditions or by human disturbance. Selective wind-erosion loss of sulfate salts was identified by the compositional contrast between surface salt crusts and underlying groundwater. At the sub-basin scale, compositional links exist among groundwater, salt crusts, and dust from wet playas. Across the study basin, however, lateral variations in groundwater and solid-salt compositions are produced by hydrogeologic heterogeneity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2017.01.010","usgsCitation":"Goldstein, H.L., Breit, G.N., and Reynolds, R.L., 2017, Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA): Journal of Arid Environments, v. 140, p. 50-66, https://doi.org/10.1016/j.jaridenv.2017.01.010.","productDescription":"17 p.","startPage":"50","endPage":"66","ipdsId":"IP-069494","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2017.01.010","text":"Publisher Index Page"},{"id":340634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.57455444335936,\n              36.13787471840729\n            ],\n            [\n              -116.224365234375,\n              36.13787471840729\n            ],\n            [\n              -116.224365234375,\n              36.667317387570925\n            ],\n            [\n              -116.57455444335936,\n              36.667317387570925\n            ],\n            [\n              -116.57455444335936,\n              36.13787471840729\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"140","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549ee4b022cee40dc21a","contributors":{"authors":[{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":693576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":693577,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189697,"text":"70189697 - 2017 - Subsequent-year recaptures at winter sites in three species of shrubland sparrows (Emberizidae)","interactions":[],"lastModifiedDate":"2017-11-22T17:04:47","indexId":"70189697","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Subsequent-year recaptures at winter sites in three species of shrubland sparrows (Emberizidae)","docAbstract":"<p>The tendency by individual birds to return to winter sites in subsequent years can be important in assessing the potential influence of habitat changes during the nonbreeding period. We recaptured five Brewer's (<i>Spizella breweri</i>), seven sagebrush (<i>Artemisiospiza nevadensis</i>), and three black-throated (<i>Amphispiza bilineata</i>) sparrows from 1–3 subsequent years at the same winter location following their initial capture. Two Brewer's and one sagebrush sparrow returned to the same winter location at least 4 years after their initial capture. Levels of feather deuterium indicated that birds captured together on winter sites had different breeding ranges. Although individuals of these species returned to specific sites used in previous years, the low recapture rate suggests that wintering individuals may use an itinerant strategy adapted to seasonal food resources.</p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-62.2.165","usgsCitation":"Knick, S.T., Leu, M., and Hanser, S.E., 2017, Subsequent-year recaptures at winter sites in three species of shrubland sparrows (Emberizidae): Southwestern Naturalist, v. 62, no. 2, p. 121-125, https://doi.org/10.1894/0038-4909-62.2.165.","productDescription":"5 p. ","startPage":"121","endPage":"125","ipdsId":"IP-066356","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":344133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.5205078125,\n              31.80289258670676\n            ],\n            [\n              -102.4365234375,\n              31.80289258670676\n            ],\n            [\n              -102.4365234375,\n              37.96152331396614\n            ],\n            [\n              -118.5205078125,\n              37.96152331396614\n            ],\n            [\n              -118.5205078125,\n              31.80289258670676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1c2e4b0ec1a4885dac3","contributors":{"authors":[{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":705852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leu, Matthias 0000-0002-4290-7212","orcid":"https://orcid.org/0000-0002-4290-7212","contributorId":194938,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":705854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":705853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170060,"text":"sim3356 - 2017 - Geologic map of Meridiani Planum, Mars","interactions":[],"lastModifiedDate":"2023-03-20T18:09:16.256306","indexId":"sim3356","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3356","title":"Geologic map of Meridiani Planum, Mars","docAbstract":"<h1>Introduction and Background</h1><p><span>The Meridiani Planum region of Mars—originally named due to its proximity to the Martian prime meridian—contains a variety of geologic units, including those that are crater‑related, that span the Early Noachian to Late Amazonian Epochs. Mars Global Surveyor (MGS) data indicate this area contains extensive layered deposits, some of which are rich in the mineral hematite. The National Aeronautics and Space Administration’s (NASA) Mars Exploration Rover (MER)&nbsp; <i>Opportunity&nbsp;</i> landed in Meridiani Planum in early 2004 and, at the time of this writing, is still conducting operations. A variety of water-altered bedrock outcrops have been studied and contain indications of prolonged surface and near-surface fluid/rock interactions. The purpose of this study is to use the more recent orbiter data to place the rover’s findings in a broader context by assessing the geologic and hydrologic histories of the region.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3356","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"Hynek, B.M., and Di Achille, G., 2017, Geologic map of Meridiani Planum, Mars (ver. 1.1, April 2017): U.S. Geological Survey Scientific Investigations Map 3356, pamphlet 9 p., scale 1:2,000,000, https://doi.org/10.3133/sim3356.","productDescription":"Pamphlet: i, 9 p.; Sheet: 55.90 x 40.00 inches; Metadata; Spatial Data","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-070106","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":438359,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DG4NAB","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3356 Geologic Map of Meridiani Planum"},{"id":405428,"rank":7,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9DG4NAB","text":"Interactive Web Map","description":"Hynek, B.M., and Di Achille, G., 2017, Geologic map of Meridiani Planum, Mars (ver. 1.1, April 2017): U.S. Geological Survey Scientific Investigations Map 3356, pamphlet 9 p., scale 1:2,000,000, https://doi.org/10.3133/sim3356","linkHelpText":"- Geologic Map of Meridiani Planum, Mars, 1:2M. Hynek and Di Achille (2017)"},{"id":340635,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_revHistory.txt","text":"Version history","size":"12.5 KB","linkFileType":{"id":2,"text":"txt"}},{"id":334386,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_sheet1.pdf","text":"Map","size":"25.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3356"},{"id":334388,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_metadata.txt","text":"Metadata","size":"12.4 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3356 Metadata"},{"id":334387,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_pamphlet.pdf","text":"Pamphlet","size":"598 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3356 Pamphlet"},{"id":334385,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3356/coverthb.jpg"},{"id":334389,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3356/sim3356_gis.zip","text":"GIS Data","size":"293 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 3356 GIS"}],"edition":"Version 1.0: Originally posted January 31, 2017; Version 1.1: April 28, 2017","contact":"<div><a href=\"http://astrogeology.usgs.gov/About/People/%22%20%5Ct%20%22_blank\" target=\"_blank\" data-mce-href=\"http://astrogeology.usgs.gov/About/People/%22%20%5Ct%20%22_blank\">Contact Astrogeology Research Program staff</a>&nbsp; &nbsp;<br></div><div>Astrogeology Science Center</div><div>U.S. Geological Survey&nbsp;</div><div>2255 N. Gemini Dr.&nbsp;</div><div>Flagstaff, AZ 86001&nbsp;</div><div><a href=\"http://astrogeology.usgs.gov/%22%20%5Ct%20%22_blank\" target=\"_blank\" data-mce-href=\"http://astrogeology.usgs.gov/%22%20%5Ct%20%22_blank\">https://astrogeology.usgs.gov/</a></div>","tableOfContents":"<ul><li>Introduction and Background<br></li><li>Data<br></li><li>Mapping Methods<br></li><li>Geologic History<br></li><li>Acknowledgments<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-01-31","revisedDate":"2017-04-28","noUsgsAuthors":false,"publicationDate":"2017-01-31","publicationStatus":"PW","scienceBaseUri":"5891b0a7e4b072a7ac1298e9","contributors":{"authors":[{"text":"Hynek, Brian M.","contributorId":168443,"corporation":false,"usgs":false,"family":"Hynek","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":25291,"text":"University of Colorada","active":true,"usgs":false}],"preferred":false,"id":625970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Achille, Gaetano","contributorId":168444,"corporation":false,"usgs":false,"family":"Di Achille","given":"Gaetano","email":"","affiliations":[{"id":25292,"text":"Istituo Nazionale de Astrofisica, Teramo, Italy","active":true,"usgs":false}],"preferred":false,"id":625971,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187314,"text":"70187314 - 2017 - A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry","interactions":[],"lastModifiedDate":"2017-04-28T15:33:14","indexId":"70187314","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry","docAbstract":"<p><span>A safe, practical, and accurate method for the determination of selenium (Se) in range of environmental samples was developed. Small sample masses, 5–20 mg, were amended with </span><sup>82</sup><span>Se enriched isotope for the isotope dilution (ID), preceding a multi-step wet digestion with nitric acid (HNO</span><sub>3</sub><span>) and hydrogen peroxide (H</span><sub>2</sub><span>O</span><sub>2</sub><span>). Samples were incubated in an autoclave for 3 h at 20 psi and 126°C. Digestates were subsequently reduced with concentrated hydrochloric acid to Se(IV) the most favorable valence for hydride generation (HG). The solutions were then analyzed on an ICP-MS equipped with Flow Injection system (FIAS-400). Polyatomic, isobaric, and background interferences were removed through the use of HG and ID with an </span><sup>82</sup><span>Se enriched isotope spike. Recoveries for certified reference materials were determined and averaged 96% for biological tissues (NRCC DOLT3, DOLT4, DORM2, TORT2, and TORT3, and NIST 2976) and 108% for estuarine sediment (NRCC PACS2) with an average coefficient of variation for replicate measurements of ∼ 3.5%. Limit of detection was 0.13 ng Se g</span><sup>−1</sup><span> dry weight or 0.19 ng Se L</span><sup>−1</sup><span>. This method can be broadly applied to biological tissues, sediments, suspended particulates, and water samples with minimal modifications making this method highly useful for assessing the ecotoxicology of total Se in aquatic ecosystems.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lom3.10164","usgsCitation":"Kleckner, A., Kakouros, E., and Stewart, A., 2017, A practical method for the determination of total selenium in environmental samples using isotope dilution-hydride generation-inductively coupled plasma-mass spectrometry: Limnology and Oceanography: Methods, v. 15, no. 4, p. 363-371, https://doi.org/10.1002/lom3.10164.","productDescription":"9 p.","startPage":"363","endPage":"371","ipdsId":"IP-076493","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10164","text":"Publisher Index Page"},{"id":340630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-11","publicationStatus":"PW","scienceBaseUri":"590454a0e4b022cee40dc21e","contributors":{"authors":[{"text":"Kleckner, Amy E.","contributorId":191501,"corporation":false,"usgs":false,"family":"Kleckner","given":"Amy E.","affiliations":[],"preferred":false,"id":693312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":693313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, A. Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":82436,"corporation":false,"usgs":true,"family":"Stewart","given":"A. Robin","affiliations":[],"preferred":false,"id":693311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187244,"text":"70187244 - 2017 - Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's warbler after successful recovery","interactions":[],"lastModifiedDate":"2017-04-28T13:30:30","indexId":"70187244","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's warbler after successful recovery","docAbstract":"<ol id=\"jpe12776-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Long-term management planning for conservation-reliant migratory songbirds is particularly challenging because habitat quality in different stages and geographic locations of the annual cycle can have direct and carry-over effects that influence the population dynamics. The Neotropical migratory songbird Kirtland's warbler <i>Setophaga kirtlandii</i> (Baird 1852) is listed as endangered under the U.S. Endangered Species Act and Near Threatened under the IUCN Red List. This conservation-reliant species is being considered for U.S. federal delisting because the species has surpassed the designated 1000 breeding pairs recovery threshold since 2001.</li><li>To help inform the delisting decision and long-term management efforts, we developed a population simulation model for the Kirtland's warbler that incorporated both breeding and wintering grounds habitat dynamics, and projected population viability based on current environmental conditions and potential future management scenarios. Future management scenarios included the continuation of current management conditions, reduced productivity and carrying capacity due to the changes in habitat suitability from the creation of experimental jack pine <i>Pinus banksiana</i> (Lamb.) plantations, and reduced productivity from alteration of the brown-headed cowbird <i>Molothrus ater</i> (Boddaert 1783) removal programme.</li><li>Linking wintering grounds precipitation to productivity improved the accuracy of the model for replicating past observed population dynamics. Our future simulations indicate that the Kirtland's warbler population is stable under two potential future management scenarios: (i) continuation of current management practices and (ii) spatially restricting cowbird removal to the core breeding area, assuming that cowbirds reduce productivity in the remaining patches by ≤41%. The additional future management scenarios we assessed resulted in population declines.</li><li><i>Synthesis and applications</i>. Our study indicates that the Kirtland's warbler population is stable under current management conditions and that the jack pine plantation and cowbird removal programmes continue to be necessary for the long-term persistence of the species. This study represents one of the first attempts to incorporate full annual cycle dynamics into a population viability analysis for a migratory bird, and our results indicate that incorporating wintering grounds dynamics improved the model performance.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12776","usgsCitation":"Brown, D., Ribic, C., Donner, D.M., Nelson, M.D., Bocetti, C.I., and Deloria-Sheffield, C.M., 2017, Using a full annual cycle model to evaluate long-term population viability of the conservation-reliant Kirtland's warbler after successful recovery: Journal of Applied Ecology, v. 54, no. 2, p. 439-449, https://doi.org/10.1111/1365-2664.12776.","productDescription":"11 p.","startPage":"439","endPage":"449","ipdsId":"IP-065679","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Office","active":true,"usgs":true}],"preferred":true,"id":693102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Mark D.","contributorId":107846,"corporation":false,"usgs":true,"family":"Nelson","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bocetti, Carol I.","contributorId":60343,"corporation":false,"usgs":true,"family":"Bocetti","given":"Carol","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":693498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deloria-Sheffield, Christie M.","contributorId":84875,"corporation":false,"usgs":true,"family":"Deloria-Sheffield","given":"Christie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693499,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187323,"text":"70187323 - 2017 - Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation","interactions":[],"lastModifiedDate":"2017-08-09T17:08:57","indexId":"70187323","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation","docAbstract":"<p id=\"sp0010\">An unprecedented set of hydrologic observations was collected after the Dec 2008 seawater-flooding event on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands. By two days after the seawater flooding that occurred at the beginning of dry season, the observed salinity of water withdrawn by the island’s main skimming well increased to 100% seawater concentration, but by ten days later already decreased to only 10–20% of seawater fraction. However, the damaging impact on the potability of the groundwater supply (when pumped water had concentrations above 1% seawater fraction) lasted 22&nbsp;months longer. The data collected make possible analyses of the hydrologic factors that control recovery and management of the groundwater-supply quality on Roi-Namur and on similar low-lying islands.</p><p id=\"sp0015\">With the observed data as a guide, three-dimensional numerical-model simulation analyses reveal how recovery is controlled by the island’s hydrology. These also allow evaluation of the efficacy of basic water-quality management/mitigation alternatives and elucidate how groundwater withdrawal and timing of the seawater-flooding event affect the length of recovery. Simulations show that, as might be expected, by adding surplus captured rainwater as artificial recharge, the freshwater-lens recovery period (after which potable groundwater may again be produced) can be shortened, with groundwater salinity remaining lower even during the dry season, a period during which no artificial recharge is applied. Simulations also show that the recovery period is not lengthened appreciably by groundwater withdrawals during recovery. Simulations further show that had the flooding event occurred at the start of the wet season, the recovery period would have been about 25% (5.5&nbsp;months) shorter than actually occurred during the monitored flood that occurred at the dry-season start. Finally, analyses show that artificial recharge improves freshwater-lens water quality, making possible longer use of groundwater as a water supply throughout each year, even when no seawater flooding has occurred.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.03.001","usgsCitation":"Gingerich, S.B., Voss, C.I., and Johnson, A.G., 2017, Seawater-flooding events and impact on freshwater lenses of low-lying islands: Controlling factors, basic management and mitigation: Journal of Hydrology, v. 551, p. 676-688, https://doi.org/10.1016/j.jhydrol.2017.03.001.","productDescription":"13 p.","startPage":"676","endPage":"688","ipdsId":"IP-079924","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":469900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.03.001","text":"Publisher Index Page"},{"id":340578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"551","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549fe4b022cee40dc21c","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":693332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Adam G. 0000-0003-2448-5746 ajohnson@usgs.gov","orcid":"https://orcid.org/0000-0003-2448-5746","contributorId":4752,"corporation":false,"usgs":true,"family":"Johnson","given":"Adam","email":"ajohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190190,"text":"70190190 - 2017 - High sensitivity of gross primary production in the Rocky Mountains to summer rain","interactions":[],"lastModifiedDate":"2017-08-16T17:26:47","indexId":"70190190","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"High sensitivity of gross primary production in the Rocky Mountains to summer rain","docAbstract":"<p><span>In the catchments of the Rocky Mountains, peak snowpack is declining in response to warmer spring temperatures. To understand how this will influence terrestrial gross primary production (GPP), we compared precipitation data across the intermountain west with satellite retrievals of solar-induced fluorescence (SIF), a proxy for GPP. Annual precipitation patterns explained most of the spatial and temporal variability of SIF, but the slope of the response was dependent on site to site differences in the proportion of snowpack to summer rain. We separated the response of SIF to different seasonal precipitation amounts and found that SIF was approximately twice as sensitive to variations in summer rain than snowpack. The response of peak GPP to a secular decline in snowpack will likely be subtle, whereas a change in summer rain amount will have precipitous effects on GPP. The study suggests that the rain use efficiency of Rocky Mountain ecosystems is strongly dependent on precipitation form and timing.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL072495","usgsCitation":"Berkelhammer, M., Stefanescu, I., Joiner, J., and Anderson, L., 2017, High sensitivity of gross primary production in the Rocky Mountains to summer rain: Geophysical Research Letters, v. 44, no. 8, p. 3643-3652, https://doi.org/10.1002/2016GL072495.","productDescription":"10 p.","startPage":"3643","endPage":"3652","ipdsId":"IP-082491","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":482066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl072495","text":"Publisher Index Page"},{"id":344912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-30","publicationStatus":"PW","scienceBaseUri":"599559bbe4b0fe2b9fea6c44","contributors":{"authors":[{"text":"Berkelhammer, M.","contributorId":152270,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"M.","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":707882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stefanescu, I.C.","contributorId":195687,"corporation":false,"usgs":false,"family":"Stefanescu","given":"I.C.","email":"","affiliations":[],"preferred":false,"id":707883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joiner, J.","contributorId":195688,"corporation":false,"usgs":false,"family":"Joiner","given":"J.","email":"","affiliations":[],"preferred":false,"id":707884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":707881,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70186764,"text":"ofr20171039 - 2017 - Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington","interactions":[],"lastModifiedDate":"2017-04-27T12:58:49","indexId":"ofr20171039","displayToPublicDate":"2017-04-27T11:00:00","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":"2017-1039","title":"Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington","docAbstract":"<p>Shallow landslides along coastal bluffs frequently occur in the railway corridor between Seattle and Everett, Washington. These slides disrupt passenger rail service, both because of required track maintenance and because the railroad owner, Burlington Northern Santa Fe Railway, does not allow passenger travel for 48 hours after a disruptive landslide. Sound Transit, which operates commuter trains in the corridor, is interested in a decision-making tool to help preemptively cancel passenger railway service in dangerous conditions and reallocate resources to alternative transportation.</p><p>Statistical analysis showed that a majority of landslides along the Seattle-Everett Corridor are strongly correlated with antecedent rainfall, but that 21-37 percent of recorded landslide dates experienced less than 1 inch of precipitation in the 3 days preceding the landslide and less than 4 inches of rain in the 15 days prior to the preceding 3 days. We developed two empirical thresholds to identify precipitation conditions correlated with landslide occurrence. The two thresholds are defined as <i>P<sub>3</sub> = 2.16-0.44P<sub>15</sub></i> and <i>P<sub>3</sub> = 2.16-0.22P<sub>32</sub></i>, where <i>P<sub>3</sub></i> is the cumulative precipitation in the 3 days prior to the considered date and <i>P<sub>15</sub></i> or <i>P<sub>32</sub></i> is the cumulative precipitation in the 15 days or 32 days prior to <i>P<sub>3</sub></i> (all measurements given in inches). The two thresholds, when compared to a previously developed threshold, quantitatively improve the prediction rate.</p><p>We also investigated rainfall intensity-duration (ID) thresholds to determine whether revision would improve identification of moderate-intensity, landslide-producing storms. New, optimized ID thresholds evaluate rainstorms lasting at least 12 hours and identify landslide-inducing storms that were typically missed by previously published ID thresholds. The main advantage of the ID thresholds appears when they are combined with recent-antecedent thresholds because rainfall conditions that exceed both threshold types are more likely to induce two or more landslides than conditions that exceed only one threshold type.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171039","collaboration":"Prepared in cooperation with Sound Transit","usgsCitation":"Scheevel, C.R., Baum, R.L., Mirus, B.B., and Smith, J.B., 2017, Precipitation thresholds for landslide occurrence near Seattle, Mukilteo, and Everett, Washington: U.S. Geological Survey Open-File Report 2017–1039, 51 p., https://doi.org/10.3133/ofr20171039.","productDescription":"vi, 51 p.","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-082570","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340454,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1039/coverthb.jpg"},{"id":340455,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1039/ofr20171039.pdf","text":"Report","size":"8.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1039"}],"country":"United States","state":"Washington","city":"Everett, Mukilteo, Seattle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123,\n              48.3\n            ],\n            [\n              -122,\n              48.3\n            ],\n            [\n              -122,\n              47.3\n            ],\n            [\n              -123,\n              47.3\n            ],\n            [\n              -123,\n              48.3\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Geologic Hazards Science Center<br>U.S. Geological Survey<br>Box 25046, MS–966<br>Denver, CO 80225-0046</p><p><a href=\"https://www.usgs.gov/centers/geohazards/\" data-mce-href=\"https://www.usgs.gov/centers/geohazards/\">https://www.usgs.gov/centers/geohazards/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Materials and Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Landslide Date Inventories</li><li>Appendix 2. Intensity-Duration Threshold Conditions</li><li>Appendix 3. Support Figures for Everett and Mukilteo Datasets</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-04-27","noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"59030323e4b0e862d230f715","contributors":{"authors":[{"text":"Scheevel, Caroline R. 0000-0001-6921-9404 cscheevel@usgs.gov","orcid":"https://orcid.org/0000-0001-6921-9404","contributorId":190723,"corporation":false,"usgs":true,"family":"Scheevel","given":"Caroline","email":"cscheevel@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":693034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264981,"text":"70264981 - 2017 - Closure to “Dimensionless erosion laws for cohesive sediment” By Joseph S. Walder","interactions":[],"lastModifiedDate":"2025-03-27T15:15:48.572118","indexId":"70264981","displayToPublicDate":"2017-04-27T10:13:17","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Closure to “Dimensionless erosion laws for cohesive sediment” By Joseph S. Walder","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)HY.1943-7900.0001323","usgsCitation":"Walder, J.S., 2017, Closure to “Dimensionless erosion laws for cohesive sediment” By Joseph S. Walder: Journal of Hydraulic Engineering, v. 143, no. 9, 07017004-1, https://doi.org/10.1061/(ASCE)HY.1943-7900.0001323.","productDescription":"07017004-1","ipdsId":"IP-080856","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)hy.1943-7900.0001323","text":"Publisher Index Page"},{"id":483946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"9","noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Walder, Joseph S. 0000-0003-3523-2998 jswalder@usgs.gov","orcid":"https://orcid.org/0000-0003-3523-2998","contributorId":247681,"corporation":false,"usgs":true,"family":"Walder","given":"Joseph","email":"jswalder@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932161,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70220236,"text":"70220236 - 2017 - Ongoing efforts to make ash-cloud model forecasts more accurate","interactions":[],"lastModifiedDate":"2021-04-28T13:38:32.531596","indexId":"70220236","displayToPublicDate":"2017-04-27T08:27:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesNumber":"MP-AVT-272-15","title":"Ongoing efforts to make ash-cloud model forecasts more accurate","docAbstract":"The 2010 eruption of Eyjafjallajökull volcano in Iceland changed the rules for air travel in Europe and introduced the use of restricted fly zones based on ash-cloud concentrations calculated by dispersion models. This change prompted a sustained effort to improve the accuracy of ash-cloud model forecasts. In this paper we describe how this goal is being advanced on three fronts: (1) assessing current capabilities and establishing best practices; (2) improving the accuracy of model inputs; and (3) developing strategies to automatically compare model output with observations and adjust inputs to produce the best match. Progress has been made on all three fronts. A key lesson is that accuracy can only be quantified by comparison with reliable observations, which are often elusive. Model improvements will have to be made in tandem with new technologies to observe and measure.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of impact of volcanic ash clouds on military operations","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"NATO","usgsCitation":"Mastin, L.G., Van Eaton, A.R., Schneider, D.J., and Denlinger, R.P., 2017, Ongoing efforts to make ash-cloud model forecasts more accurate, <i>in</i> Proceedings of impact of volcanic ash clouds on military operations, 12 p.","productDescription":"12 p.","ipdsId":"IP-084844","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":385354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385343,"type":{"id":15,"text":"Index Page"},"url":"https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/Forms/All%20MPs.aspx?RootFolder=%2Fpublications%2FSTO%20Meeting%20Proceedings%2FSTO%2DMP%2DAVT%2D272&FolderCTID=0x0120D5200078F9E87043356C409A0D30823AFA16F602008CF184CAB7588E468F5E9FA364E05BA5&View=%7B72ED425F-C31F-451C-A545-41122BBA61A7%7D"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":814871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":814872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249722,"text":"70249722 - 2017 - Pore network modeling of the electrical signature of solute transport in dual-domain media","interactions":[],"lastModifiedDate":"2023-10-25T12:18:31.73919","indexId":"70249722","displayToPublicDate":"2017-04-27T07:15:36","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Pore network modeling of the electrical signature of solute transport in dual-domain media","docAbstract":"<div class=\"article-section__content en main\"><p>Dual-domain models are used to explain anomalous solute transport behavior observed in diverse hydrologic settings and applications, from groundwater remediation to hyporheic exchange. To constrain such models, new methods are needed with sensitivity to both immobile and mobile domains. Recent experiments indicate that dual-domain transport of ionic tracers has an observable geoelectrical signature, appearing as a nonlinear, hysteretic relation between paired bulk and fluid electrical conductivity. Here we present a mechanistic explanation for this geoelectrical signature and evaluate assumptions underlying a previously published petrophysical model for bulk conductivity in dual-domain media. Pore network modeling of fluid flow, solute transport, and electrical conduction (1) verifies the geoelectrical signature of dual-domain transport, (2) reveals limitations of the previously used petrophysical model, and (3) demonstrates that a new petrophysical model, based on differential effective media theory, closely approximates the simulated bulk/fluid conductivity relation. These findings underscore the potential of geophysically based calibration of dual-domain models.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL073326","usgsCitation":"Day-Lewis, F., Linde, N., Haggerty, R., Singha, K., and Briggs, M., 2017, Pore network modeling of the electrical signature of solute transport in dual-domain media: Geophysical Research Letters, v. 44, no. 10, p. 4908-4916, https://doi.org/10.1002/2017GL073326.","productDescription":"9 p.","startPage":"4908","endPage":"4916","ipdsId":"IP-086342","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":469902,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1377933","text":"Publisher Index Page"},{"id":422094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2017-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":886855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linde, Niklas","contributorId":248575,"corporation":false,"usgs":false,"family":"Linde","given":"Niklas","email":"","affiliations":[],"preferred":false,"id":886856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Roy","contributorId":191368,"corporation":false,"usgs":false,"family":"Haggerty","given":"Roy","email":"","affiliations":[],"preferred":false,"id":886857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":886858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":886859,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186982,"text":"ofr20171042 - 2017 - Monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15","interactions":[],"lastModifiedDate":"2017-04-28T09:16:11","indexId":"ofr20171042","displayToPublicDate":"2017-04-27T00:00:00","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":"2017-1042","title":"Monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15","docAbstract":"<h1>Executive Summary</h1><p>We operated a bird banding station on the Point Loma peninsula in western San Diego County, California, during spring and summer from 2011 to 2015. The station was established in 2010 as part of a long-term monitoring program for neotropical migratory birds during spring migration and for breeding birds as part of the Monitoring Avian Productivity and Survivorship (MAPS) program.</p><p>During spring migration (April and May), 2011–15, we captured 1,760 individual birds of 54 species, 91 percent (1,595) of which were newly banded, fewer than 1 percent (3) of which were recaptures that were banded in previous years, and 9 percent (143 hummingbirds, 2 hawks, and 17 other birds) of which we released unbanded. We observed an additional 22 species that were not captured. Thirty-four individuals were captured more than once. Bird capture rate averaged 0.49 ± 0.07 captures per net-hour (range 0.41–0.56). Species richness per day averaged 6.87 ± 0.33. <i>Cardellina pusilla</i> (Wilson’s warbler) was the most abundant spring migrant captured, followed by <i>Empidonax difficilis</i> (Pacific-slope flycatcher), <i>Vireo gilvus</i> (warbling vireo), <i>Zonotrichia leucophrys</i> (white-crowned sparrow), and <i>Selasphorus rufus</i> (rufous hummingbird). Captures of white-crowned sparrow decreased, and captures of Pacific-slope flycatcher increased, over the 5 years of our study. Fifty-six percent of known-sex individuals were male and 44 percent were female. The peak number of new species arriving per day ranged from April 1 (2013-six species) to April 16 (2012-five species). A significant correlation was determined between the number of migrants captured each day per net-hour and the density of echoes on the Next-Generation Radar (NEXRAD) images across all 5 years, and in each year except 2014. NEXRAD radar imagery appears to be a useful tool for detecting pulses in migration.</p><p>Our results indicate that Point Loma provides stopover habitat during migration for 76 migratory species, including 20 species of conservation concern. Two of these species, <i>Vireo bellii pusillus</i> (least Bell’s vireo) and <i>Empidonax traillii</i> (willow flycatcher) are listed as State and (or) federally threatened or endangered.</p><p>Except for <i>Archilochus alexandri</i> (black-chinned hummingbird) and <i>Setophaga occidentalis</i> (hermit warbler), which arrived later during the migratory season in latter years of our study, median arrival dates for migratory species tended to be earlier each year or did not change across 5 years. Of the five most common migratory species, white-crowned sparrow and rufous hummingbird arrived earlier in latter years of the study, but Pacific-slope flycatcher, warbling vireo, and Wilson’s warbler median arrival dates were variable and showed no trend.</p><p>We captured 1,680 individuals of 66 species during the MAPS/breeding season (May through August) across the 5 years of our study, 72 percent (1,211) of which were newly banded, 10 percent (167) of which were recaptures, and 18 percent (302 hummingbirds and other birds that escaped prior to banding) of which we released unbanded. Bird capture rate averaged 0.65 ± 0.21 captures per net-hour (range 0.12–2.54). Species richness per day ranged from 9.80 ± 5.01 to 14.20 ± 4.57. <i>Calypte anna</i> (Anna’s hummingbird) was the most abundant breeding species captured, followed by <i>Oreothlypis celata</i> (orange-crowned warbler), <i>Psaltriparus minimus</i> (bushtit), <i>Pipilo maculatus</i> (spotted towhee), <i>Thryomanes bewickii</i> (Bewick’s wren), <i>Melozone crissalis</i> (California towhee), and <i>Chamaea fasciata</i> (wrentit). Fifty-one percent of known-sex captures were female, and 49 percent were male. Thirty-one percent of known-age captures were juveniles.</p><p>Populations of bushtits and orange-crowned warbler decreased significantly over 5 years. Anna’s hummingbird abundance was high for 4 years, and then decreased in 2015. Bewick’s wren and wrentit populations were highest in 2015. There was no obvious pattern in spotted towhee and California towhee abundance across 5 years. Annual breeding productivity for most species was low in 2014 and high in 2015. Bewick’s wren had the highest breeding productivity of the six most commonly captured species, followed by bushtit. Orange-crowned warbler had the lowest breeding productivity. Breeding productivity was a significant predictor of population size the next year for bushtit, but not for any other resident breeding species examined.</p><p>Adult survivorship was generally high from 2013 to 14, and low from 2014 to 15. Wrentits had the highest survivorship of the most common species captured, followed by California towhee and orange-crowned warbler. Adult survivorship was lowest for bushtits and spotted towhees. Adult survivorship was a significant predictor of population size for bushtits, but not for any other resident species examined.</p><p>Our monitoring results indicate that Point Loma provides breeding habitat for seven species of conservation concern. One of these species, the federally threatened <i>Polioptila californica californica</i> (California gnatcatcher), was documented breeding at the study site.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171042","collaboration":"Prepared in cooperation with Commander, Navy Region Southwest","usgsCitation":"Lynn, Suellen, Madden, M.C., and Kus, B.E., 2017, Monitoring breeding and migration of neotropical migratory birds at Point Loma, San Diego County, California, 5-year summary, 2011–15: U.S. Geological Survey Open-File Report 2017-1042, 119 p., https://doi.org/10.3133/ofr20171042.","productDescription":"iv, 119 p.","numberOfPages":"128","onlineOnly":"Y","ipdsId":"IP-079355","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340506,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1042/coverthb.jpg"},{"id":340507,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1042/ofr20171042.pdf","text":"Report","size":"5.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1042"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Point Loma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.24781036376953,\n              32.66445129351451\n            ],\n            [\n              -117.23575115203859,\n              32.66445129351451\n            ],\n            [\n              -117.23575115203859,\n              32.67825116303079\n            ],\n            [\n              -117.24781036376953,\n              32.67825116303079\n            ],\n            [\n              -117.24781036376953,\n              32.66445129351451\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Western Ecological Research Center<br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819<br> <a href=\"https://www.werc.usgs.gov/\" target=\"blank\" data-mce-href=\"https://www.werc.usgs.gov/\">https://www.werc.usgs.gov/</a></p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Management Implications<br></li><li>References Cited<br></li><li>Appendixes A–C<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-04-27","noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"59030324e4b0e862d230f71b","contributors":{"authors":[{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":691668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madden, Melanie C. 0000-0003-4147-7254 mmadden@usgs.gov","orcid":"https://orcid.org/0000-0003-4147-7254","contributorId":139459,"corporation":false,"usgs":true,"family":"Madden","given":"Melanie","email":"mmadden@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":691669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":691667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}