{"pageNumber":"157","pageRowStart":"3900","pageSize":"25","recordCount":10458,"records":[{"id":70188392,"text":"70188392 - 2014 - Structure and seismic hazard of the Ventura Avenue anticline and Ventura fault, California: Prospect for large, multisegment ruptures in the Western Transverse Ranges","interactions":[],"lastModifiedDate":"2017-06-07T15:03:07","indexId":"70188392","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Structure and seismic hazard of the Ventura Avenue anticline and Ventura fault, California: Prospect for large, multisegment ruptures in the Western Transverse Ranges","docAbstract":"<p id=\"p-2\">The Ventura Avenue anticline is one of the fastest uplifting structures in southern California, rising at ∼5  mm/yr. We use well data and seismic reflection profiles to show that the anticline is underlain by the Ventura fault, which extends to seismogenic depth. Fault offset increases with depth, implying that the Ventura Avenue anticline is a fault‐propagation fold. A decrease in the uplift rate since ∼30±10  ka is consistent with the Ventura fault breaking through to the surface at that time and implies that the fault has a recent dip‐slip rate of ∼4.4–6.9  mm/yr.</p><p id=\"p-3\">To the west, the Ventura fault and fold trend continues offshore as the Pitas Point fault and its associated hanging wall anticline. The Ventura–Pitas Point fault appears to flatten at about 7.5&nbsp;km depth to a detachment, called the Sisar decollement, then step down on a blind thrust fault to the north. Other regional faults, including the San Cayetano and Red Mountain faults, link with this system at depth. We suggest that below 7.5&nbsp;km, these faults may form a nearly continuous surface, posing the threat of large, multisegment earthquakes.</p><p id=\"p-4\">Holocene marine terraces on the Ventura Avenue anticline suggest that it grows in discrete events with 5–10&nbsp;m of uplift, with the latest event having occurred ∼800 years ago (<span id=\"xref-ref-48-1\" class=\"xref-bibr\">Rockwell, 2011</span>). Uplift this large would require large earthquakes (<i>M</i><sub>w</sub>&nbsp;7.7–8.1) involving the entire Ventura/Pitas Point system and possibly more structures along strike, such as the San Cayetano fault. Because of the local geography and geology, such events would be associated with significant ground shaking amplification and regional tsunamis.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130125","usgsCitation":"Hubbard, J., Shaw, J.H., Dolan, J.F., Pratt, T.L., McAuliffe, L.J., and Rockwell, T.K., 2014, Structure and seismic hazard of the Ventura Avenue anticline and Ventura fault, California: Prospect for large, multisegment ruptures in the Western Transverse Ranges: Bulletin of the Seismological Society of America, v. 104, no. 3, p. 1070-1087, https://doi.org/10.1785/0120130125.","productDescription":"18 p.","startPage":"1070","endPage":"1087","ipdsId":"IP-052489","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473277,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10220/20351","text":"External Repository"},{"id":342267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ventura Avenue anticline","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.8333,\n              34.6667\n            ],\n            [\n              -118.8333,\n              34.6667\n            ],\n            [\n              -118.8333,\n              34\n            ],\n            [\n              -119.8333,\n              34\n            ],\n            [\n              -119.8333,\n              34.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"104","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-06","publicationStatus":"PW","scienceBaseUri":"593910b4e4b0764e6c5e88e1","contributors":{"authors":[{"text":"Hubbard, Judith","contributorId":192725,"corporation":false,"usgs":false,"family":"Hubbard","given":"Judith","email":"","affiliations":[{"id":13619,"text":"Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":697525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaw, John H.","contributorId":187766,"corporation":false,"usgs":false,"family":"Shaw","given":"John","email":"","middleInitial":"H.","affiliations":[{"id":13619,"text":"Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":697526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolan, James F.","contributorId":175461,"corporation":false,"usgs":false,"family":"Dolan","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":697527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAuliffe, Lee J.","contributorId":192724,"corporation":false,"usgs":false,"family":"McAuliffe","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":697528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rockwell, Thomas K.","contributorId":192731,"corporation":false,"usgs":false,"family":"Rockwell","given":"Thomas","email":"","middleInitial":"K.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":697529,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70147912,"text":"70147912 - 2014 - Evidence of natural reproduction by Muskellunge in middle Tennessee rivers","interactions":[],"lastModifiedDate":"2015-05-08T10:49:54","indexId":"70147912","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of natural reproduction by Muskellunge in middle Tennessee rivers","docAbstract":"<p><span>Native&nbsp;</span><i>Esox masquinongy</i><span>&nbsp;(Muskellunge) in the Cumberland River drainage, TN, were nearly extirpated in the 1970s due to decades of over-fishing and habitat degradation from coal mining, logging, and other land-use practices. In an effort to preserve the species in that drainage, a stocking program began in 1976 in the upper Caney Fork River system in middle Tennessee where Muskellunge were not native. A trophy Muskellunge fishery eventually developed, but it was unknown whether Muskellunge were reproducing in the upper Caney Fork River system or whether the fishery was wholly dependent on the stocking program. To establish evidence of natural reproduction, we used seines, backpack electrofishing, and boat electrofishing gear in 2012 to find age-0 Muskellunge in the upper Caney Fork River system. Natural reproduction of Muskellunge was documented in the mainstem Caney Fork River above Great Falls Dam and in 3 of its 4 major tributaries. Seventeen age-0 Muskellunge were collected and one other was observed, but not handled. Age-0 Muskellunge grew rapidly (1.80&ndash;2.34 mm/day), and the largest fish collected during the study reached a total length of 399 mm by 9 October 2012. A cessation of stocking for several years coupled with routine monitoring could reveal whether natural recruitment is sufficient to sustain the fishery.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.013.0310","usgsCitation":"Warren, L.H., and Bettoli, P.W., 2014, Evidence of natural reproduction by Muskellunge in middle Tennessee rivers: Southeastern Naturalist, v. 13, no. 3, p. 506-514, https://doi.org/10.1656/058.013.0310.","productDescription":"9 p.","startPage":"506","endPage":"514","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049494","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Caney Fork River system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n   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H.","contributorId":140643,"corporation":false,"usgs":false,"family":"Warren","given":"Lila","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":546387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546368,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148145,"text":"70148145 - 2014 - Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River","interactions":[],"lastModifiedDate":"2015-05-27T13:44:03","indexId":"70148145","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River","docAbstract":"<p><span>Fish, especially migratory species, are assumed to benefit from dam removals that restore connectivity and access to upstream habitat, but few studies have evaluated this assumption. Therefore, we assessed the movement of migratory fishes in the springs of 2008 through 2010 and surveyed available habitat in the Little River, North Carolina, a tributary to the Neuse River, after three complete dam removals and one partial (notched) dam removal. We tagged migratory fishes with PIT tags at a resistance-board weir located at a dam removal site (river kilometer [rkm] 3.7) and followed their movements with an array of PIT antennas. The river-wide distribution of fish following removals varied by species. For example, 24&ndash;31% of anadromous American Shad&nbsp;</span><i>Alosa sapidissima</i><span>, 45&ndash;49% of resident Gizzard Shad&nbsp;</span><i>Dorosoma cepedianum</i><span>, and 4&ndash;11% of nonnative Flathead Catfish</span><i>Pylodictis olivaris</i><span>&nbsp;passed the dam removal site at rkm 56 in 2009 and 2010. No preremoval data were available for comparison, but reach connectivity appeared to increase as tagged individuals passed former dam sites and certain individuals moved extensively both upstream and downstream. However, 17&ndash;28% did not pass the partially removed dam at rkm 7.9, while 20&ndash;39% of those that passed remained downstream for more than a day before migrating upstream. Gizzard Shad required the deepest water to pass this notched structure, followed by American Shad then Flathead Catfish. Fish that passed the notched dam accessed more complex habitat (e.g., available substrate size-classes) in the middle and upper reaches. The results provide strong support for efforts to restore currently inaccessible habitat through complete removal of derelict dams.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2014.938140","usgsCitation":"Raabe, J.K., and Hightower, J.E., 2014, Assessing distribution of migratory fishes and connectivity following complete and partial dam removals in a North Carolina River: North American Journal of Fisheries Management, v. 34, no. 5, p. 955-969, https://doi.org/10.1080/02755947.2014.938140.","productDescription":"15 p.","startPage":"955","endPage":"969","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051811","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Little River","geographicExtents":"{\n  \"type\": 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K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547482,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70141751,"text":"70141751 - 2014 - Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","interactions":[],"lastModifiedDate":"2015-03-06T10:12:29","indexId":"70141751","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","docAbstract":"<p id=\"p-1\">Examination of key outcrops in the eastern Blue Ridge in southern Virginia and northwestern North Carolina is used to evaluate existing stratigraphic and structural models. Recent detailed mapping along the Blue Ridge Parkway and the eastern flank of the Mount Rogers massif provides the opportunity to (1) evaluate legacy data and interpretations and (2) formulate new ideas for regional correlation of eastern Blue Ridge geology.</p>\n<p id=\"p-2\">Lynchburg Group rocks in central Virginia (metagraywacke, quartzite, graphitic schist, amphibolite, and ultramafic rocks) carry southward along strike where they transition with other units. Wills Ridge Formation consists of graphitic schist, metagraywacke, and metaconglomerate, and marks the western boundary of the eastern Blue Ridge. The Ashe Formation consists of conglomeratic metagraywacke in southern Virginia, and mica gneiss, mica schist, and ultramafic rocks in North Carolina. The overlying Alligator Back Formation shows characteristic compositional pin-striped layers in mica gneiss, schist, and amphibolite.</p>\n<p id=\"p-3\">The contact between eastern Blue Ridge stratified rocks above Mesoproterozoic basement rocks is mostly faulted (Gossan Lead and Red Valley). The Callaway fault juxtaposes Ashe and Lynchburg rocks above Wills Ridge Formation. Alligator Back Formation rocks overlie Ashe and Lynchburg rocks along the Rock Castle Creek fault, which juxtaposes rocks of different metamorphism. The fault separates major structural domains: rocks with one penetrative foliation in the footwall, and pin-striped recrystallized compositional layering, superposed penetrative foliations, and cleavage characterize the hanging wall. These relationships are ambiguous along strike to the southwest, where the Ashe and Alligator Back formations are recrystallized at higher metamorphic grades.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2014.0035(07)","usgsCitation":"Carter, M.W., and Merschat, A.J., 2014, Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping: GSA Field Guides, v. 35, p. 215-241, https://doi.org/10.1130/2014.0035(07).","productDescription":"27 p.","startPage":"215","endPage":"241","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054099","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":298319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.4581298828125,\n              36.45000844447082\n            ],\n            [\n              -81.4581298828125,\n              37.13842453422676\n            ],\n            [\n              -80.08209228515625,\n              37.13842453422676\n            ],\n            [\n              -80.08209228515625,\n              36.45000844447082\n            ],\n            [\n              -81.4581298828125,\n              36.45000844447082\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e2","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189074,"text":"70189074 - 2014 - Spectroscopy from Space","interactions":[],"lastModifiedDate":"2020-11-05T16:48:04.612491","indexId":"70189074","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Spectroscopy from Space","docAbstract":"<p>This chapter reviews detection of materials on solid and liquid (lakes and ocean) surfaces in the solar system using ultraviolet to infrared spectroscopy from space, or near space (high altitude aircraft on the Earth), or in the case of remote objects, earth-based and earth-orbiting telescopes. Point spectrometers and imaging spectrometers have been probing the surfaces of our solar system for decades. Spacecraft carrying imaging spectrometers are currently in orbit around Mercury, Venus, Earth, Mars, and Saturn, and systems have recently visited Jupiter, comets, asteroids, and one spectrometer-carrying spacecraft is on its way to Pluto. Together these systems are providing a wealth of data that will enable a better understanding of the composition of condensed matter bodies in the solar system.</p><p>Minerals, ices, liquids, and other materials have been detected and mapped on the Earth and all planets and/or their satellites where the surface can be observed from space, with the exception of Venus whose thick atmosphere limits surface observation. Basaltic minerals (e.g., pyroxene and olivine) have been detected with spectroscopy on the Earth, Moon, Mars and some asteroids. The greatest mineralogic diversity seen from space is observed on the Earth and Mars. The Earth, with oceans, active tectonic and hydrologic cycles, and biological processes, displays the greatest material diversity including the detection of amorphous and crystalline inorganic materials, organic compounds, water and water ice.</p><p>Water ice is a very common mineral throughout the Solar System and has been unambiguously detected or inferred in every planet and/or their moon(s) where good spectroscopic data has been obtained.</p><p>In addition to water ice, other molecular solids have been observed in the solar system using spectroscopic methods. Solid carbon dioxide is found on all systems beyond the Earth except Pluto, although CO<sub>2</sub><span>&nbsp;</span>sometimes appears to be trapped in other solids rather than as an ice on some objects. The largest deposits of carbon dioxide ice are found on Mars. Sulfur dioxide ice is found in the Jupiter system. Nitrogen and methane ices are common beyond the Uranian system.</p><p>Saturn’s moon Titan probably has the most complex active extra-terrestrial surface chemistry involving organic compounds. Some of the observed or inferred compounds include ices of benzene (C<sub>6</sub>H<sub>6</sub>), cyanoacetylene (HC<sub>3</sub>N), toluene (C<sub>7</sub>H<sub>8</sub>), cyanogen (C<sub>2</sub>N<sub>2</sub>), acetonitrile (CH<sub>3</sub>CN), water (H<sub>2</sub>O), carbon dioxide (CO<sub>2</sub>), and ammonia (NH<sub>3</sub>). Confirming compounds on Titan is hampered by its thick smoggy atmosphere, where in relative terms the atmospheric interferences that hamper surface characterization lie between that of Venus and Earth.</p><p>In this chapter we exclude discussion of the planets Jupiter, Saturn, Uranus, and Neptune because their thick atmospheres preclude observing the surface, even if surfaces exist. However, we do discuss spectroscopic observations on a number of the extra-terrestrial satellite bodies. Ammonia was predicted on many icy moons but is notably absent among the definitively detected ices with possible exceptions on Charon and possible trace amounts on some of the Saturnian satellites. Comets, storehouses of many compounds that could exist as ices in their nuclei, have only had small amounts of water ice definitively detected on their surfaces from spectroscopy. Only two asteroids have had a direct detection of surface water ice, although its presence can be inferred in others.</p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/rmg.2014.78.10","usgsCitation":"Clark, R.N., Swayze, G.A., Carlson, R.R., Grundy, W., and Noll, K., 2014, Spectroscopy from Space: Reviews in Mineralogy and Geochemistry, v. 78, no. 1, p. 399-446, https://doi.org/10.2138/rmg.2014.78.10.","productDescription":"48 p.","startPage":"399","endPage":"446","ipdsId":"IP-036673","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-27","publicationStatus":"PW","scienceBaseUri":"595611b9e4b0d1f9f0506772","contributors":{"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlson, Robert R.","contributorId":71944,"corporation":false,"usgs":true,"family":"Carlson","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":702931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grundy, Will","contributorId":156333,"corporation":false,"usgs":false,"family":"Grundy","given":"Will","email":"","affiliations":[],"preferred":false,"id":702932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noll, Keith","contributorId":193877,"corporation":false,"usgs":false,"family":"Noll","given":"Keith","email":"","affiliations":[],"preferred":false,"id":702933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191023,"text":"70191023 - 2014 - Dispersion analysis of passive surface-wave noise generated during hydraulic-fracturing operations","interactions":[],"lastModifiedDate":"2017-09-21T12:06:41","indexId":"70191023","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Dispersion analysis of passive surface-wave noise generated during hydraulic-fracturing operations","docAbstract":"<p><span>Surface-wave dispersion analysis is useful for estimating near-surface shear-wave velocity models, designing receiver arrays, and suppressing surface waves. Here, we analyze whether passive seismic noise generated during hydraulic-fracturing operations can be used to extract surface-wave dispersion characteristics. Applying seismic interferometry to noise measurements, we extract surface waves by cross-correlating several minutes of passive records; this approach is distinct from previous studies that used hours or days of passive records for cross-correlation. For comparison, we also perform dispersion analysis for an active-source array that has some receivers in common with the passive array. The active and passive data show good agreement in the dispersive character of the fundamental-mode surface-waves. For the higher mode surface waves, however, active and passive data resolve the dispersive properties at different frequency ranges. To demonstrate an application of dispersion analysis, we invert the observed surface-wave dispersion characteristics to determine the near-surface, one-dimensional shear-wave velocity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jappgeo.2014.09.008","usgsCitation":"Forghani-Arani, F., Willis, M., Snieder, R., Haines, S.S., Behura, J., Batzle, M., and Davidson, M., 2014, Dispersion analysis of passive surface-wave noise generated during hydraulic-fracturing operations: Journal of Applied Geophysics, v. 111, p. 129-134, https://doi.org/10.1016/j.jappgeo.2014.09.008.","productDescription":"6 p.","startPage":"129","endPage":"134","ipdsId":"IP-058038","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":473305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1556315","text":"Publisher Index Page"},{"id":345987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c4cf97e4b017cf313d3cb8","contributors":{"authors":[{"text":"Forghani-Arani, Farnoush","contributorId":196642,"corporation":false,"usgs":false,"family":"Forghani-Arani","given":"Farnoush","email":"","affiliations":[{"id":34665,"text":"Microseismic Inc.","active":true,"usgs":false}],"preferred":false,"id":710974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willis, Mark","contributorId":196643,"corporation":false,"usgs":false,"family":"Willis","given":"Mark","email":"","affiliations":[{"id":34662,"text":"Halliburton","active":true,"usgs":false}],"preferred":false,"id":710975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snieder, Roel","contributorId":196644,"corporation":false,"usgs":false,"family":"Snieder","given":"Roel","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":710976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Behura, Jyoti","contributorId":196645,"corporation":false,"usgs":false,"family":"Behura","given":"Jyoti","email":"","affiliations":[{"id":34663,"text":"Seismic Science LLC","active":true,"usgs":false}],"preferred":false,"id":710977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Batzle, Mike","contributorId":196646,"corporation":false,"usgs":false,"family":"Batzle","given":"Mike","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":710978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davidson, Michael","contributorId":196647,"corporation":false,"usgs":false,"family":"Davidson","given":"Michael","email":"","affiliations":[{"id":17916,"text":"ConocoPhillips","active":true,"usgs":false}],"preferred":false,"id":710979,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192503,"text":"70192503 - 2014 - Fertilizer consumption and energy input for 16 crops in the United States","interactions":[],"lastModifiedDate":"2018-02-15T14:29:57","indexId":"70192503","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Fertilizer consumption and energy input for 16 crops in the United States","docAbstract":"Fertilizer use by U.S. agriculture has increased over the past few decades. The production and transportation of fertilizers (nitrogen, N; phosphorus, P; potassium, K) are energy intensive. In general, about a third of the total energy input to crop production goes to the production of fertilizers, one-third to mechanization, and one-third to other inputs including labor, transportation, pesticides, and electricity. For some crops, fertilizer is the largest proportion of total energy inputs. Energy required for the production and transportation of fertilizers, as a percentage of total energy input, was determined for 16 crops in the U.S. to be: 19–60% for seven grains, 10–41% for two oilseeds, 25% for potatoes, 12–30% for three vegetables, 2–23% for two fruits, and 3% for dry beans. The harvested-area weighted-average of the fraction of crop fertilizer energy to the total input energy was 28%. The current sources of fertilizers for U.S. agriculture are dependent on imports, availability of natural gas, or limited mineral resources. Given these dependencies plus the high energy costs for fertilizers, an integrated approach for their efficient and sustainable use is needed that will simultaneously maintain or increase crop yields and food quality while decreasing adverse impacts on the environment.","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9226-4","usgsCitation":"Amenumey, S.E., and Capel, P.D., 2014, Fertilizer consumption and energy input for 16 crops in the United States: Natural Resources Research, v. 23, no. 3, p. 299-309, https://doi.org/10.1007/s11053-013-9226-4.","productDescription":"11 p.","startPage":"299","endPage":"309","ipdsId":"IP-052309","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":347440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"23","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-24","publicationStatus":"PW","scienceBaseUri":"5a07ed4ee4b09af898c8cd50","contributors":{"authors":[{"text":"Amenumey, Sheila E.","contributorId":192282,"corporation":false,"usgs":false,"family":"Amenumey","given":"Sheila","email":"","middleInitial":"E.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":716085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":716084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194120,"text":"70194120 - 2014 - Bacterial pathogen gene abundance and relation to recreational water quality at seven Great Lakes beaches","interactions":[],"lastModifiedDate":"2017-11-16T16:52:57","indexId":"70194120","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Bacterial pathogen gene abundance and relation to recreational water quality at seven Great Lakes beaches","docAbstract":"<p><span>Quantitative assessment of bacterial pathogens, their geographic variability, and distribution in various matrices at Great Lakes beaches are limited. Quantitative PCR (qPCR) was used to test for genes from&nbsp;</span><i>E. coli</i><span><span>&nbsp;</span>O157:H7 (</span><i>eae</i><sub>O157</sub><span>), shiga-toxin producing<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>(</span><i>stx2</i><span>),<span>&nbsp;</span></span><i>Campylobacter jejuni</i><span><span>&nbsp;</span>(</span><i>mapA</i><span>),<span>&nbsp;</span></span><i>Shigella</i><span><span>&nbsp;</span>spp. (</span><i>ipaH</i><span>), and a<span>&nbsp;</span></span><i>Salmonella enterica</i><span>-specific (</span><i>SE</i><span>) DNA sequence at seven Great Lakes beaches, in algae, water, and sediment. Overall, detection frequencies were<span>&nbsp;</span></span><i>mapA</i><span>&gt;</span><i>stx2</i><span>&gt;</span><i>ipaH</i><span>&gt;</span><i>SE</i><span>&gt;</span><i>eae</i><sub><i>O157</i></sub><span>. Results were highly variable among beaches and matrices; some correlations with environmental conditions were observed for<span>&nbsp;</span></span><i>mapA</i><span>,<span>&nbsp;</span></span><i>stx2</i><span>, and<span>&nbsp;</span></span><i>ipaH</i><span><span>&nbsp;</span>detections. Beach seasonal mean<span>&nbsp;</span></span><i>mapA</i><span><span>&nbsp;</span>abundance in water was correlated with beach seasonal mean log</span><sub>10</sub><i>E. coli</i><span><span>&nbsp;</span>concentration. At one beach,<span>&nbsp;</span></span><i>stx2</i><span><span>&nbsp;</span>gene abundance was positively correlated with concurrent daily<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>concentrations. Concentration distributions for<span>&nbsp;</span></span><i>stx2</i><span>,<span>&nbsp;</span></span><i>ipaH</i><span>, and<span>&nbsp;</span></span><i>mapA</i><span><span>&nbsp;</span>within algae, sediment, and water were statistically different (Non-Detect and Data Analysis in R). Assuming 10, 50, or 100% of gene copies represented viable and presumably infective cells, a quantitative microbial risk assessment tool developed by Michigan State University indicated a moderate probability of illness for<span>&nbsp;</span></span><i>Campylobacter jejuni</i><span><span>&nbsp;</span>at the study beaches, especially where recreational water quality criteria were exceeded. Pathogen gene quantification may be useful for beach water quality management.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/es5038657","usgsCitation":"Oster, R.J., Wijesinghe, R.U., Fogarty, L.R., Haack, S.K., Fogarty, L.R., Tucker, T.R., and Riley, S., 2014, Bacterial pathogen gene abundance and relation to recreational water quality at seven Great Lakes beaches: Environmental Science & Technology, v. 48, no. 24, p. 14148-14157, https://doi.org/10.1021/es5038657.","productDescription":"10 p.","startPage":"14148","endPage":"14157","ipdsId":"IP-052094","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":349032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Great Lakes","volume":"48","issue":"24","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-25","publicationStatus":"PW","scienceBaseUri":"5a6100c8e4b06e28e9c25411","contributors":{"authors":[{"text":"Oster, Ryan J. roster@usgs.gov","contributorId":5483,"corporation":false,"usgs":true,"family":"Oster","given":"Ryan","email":"roster@usgs.gov","middleInitial":"J.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wijesinghe, Rasanthi U. rwijesinghe@usgs.gov","contributorId":5484,"corporation":false,"usgs":true,"family":"Wijesinghe","given":"Rasanthi","email":"rwijesinghe@usgs.gov","middleInitial":"U.","affiliations":[],"preferred":true,"id":722158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogarty, Lisa Reynolds 0000-0003-0329-3251 lrfogart@usgs.gov","orcid":"https://orcid.org/0000-0003-0329-3251","contributorId":150958,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa","email":"lrfogart@usgs.gov","middleInitial":"Reynolds","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haack, Sheridan K. skhaack@usgs.gov","contributorId":1982,"corporation":false,"usgs":true,"family":"Haack","given":"Sheridan","email":"skhaack@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fogarty, Lisa R. 0000-0003-0329-3251 lrfogart@usgs.gov","orcid":"https://orcid.org/0000-0003-0329-3251","contributorId":2053,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa","email":"lrfogart@usgs.gov","middleInitial":"R.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":722571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, Taaja R. 0000-0003-1534-4677 trtucker@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":5172,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"trtucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":722161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riley, Stephen 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":169479,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":722162,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70136256,"text":"70136256 - 2014 - Evaluation of potential protective factors against metabolic syndrome in bottlenose dolphins:feeding and activity patterns of dolphins in Sarasota Bay, Florida","interactions":[],"lastModifiedDate":"2015-03-18T11:08:11","indexId":"70136256","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3848,"text":"Frontiers in Endocrinology","onlineIssn":"1664-2392","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of potential protective factors against metabolic syndrome in bottlenose dolphins:feeding and activity patterns of dolphins in Sarasota Bay, Florida","docAbstract":"<p>Free-ranging bottlenose dolphins (Tursiops truncatus) living in Sarasota Bay, Florida appear to have a lower risk of developing insulin resistance and metabolic syndrome compared to a group of dolphins managed under human care. Similar to humans, differences in diet and activity cycles between these groups may explain why Sarasota dolphins have lower insulin, glucose, and lipids. To identify potential protective factors against metabolic syndrome, existing and new data were incorporated to describe feeding and activity patterns of the Sarasota Bay wild dolphin community. Sarasota dolphins eat a wide variety of live fish and spend 10&acirc;&euro;&ldquo;20% of daylight hours foraging and feeding. Feeding occurs throughout the day, with the dolphins eating small proportions of their total daily intake in brief bouts. The natural pattern of wild dolphins is to feed as necessary and possible at any time of the day or night. Wild dolphins rarely eat dead fish or consume large amounts of prey in concentrated time periods. Wild dolphins are active throughout the day and night; they may engage in bouts of each key activity category at any time during daytime. Dive patterns of radio-tagged dolphins varied only slightly with time of day. Travel rates may be slightly lower at night, suggesting a diurnal rhythm, albeit not one involving complete, extended rest. In comparison, the managed dolphins are older; often fed a smaller variety of frozen-thawed fish types; fed fish species not in their natural diet; feedings and engaged activities are often during the day; and they are fed larger but fewer meals. In summary, potential protective factors against metabolic syndrome in dolphins may include young age, activity, and small meals fed throughout the day and night, and specific fish nutrients. These protective factors against insulin resistance and type 2 diabetes are similar to those reported in humans. Further studies may benefit humans and dolphins.</p>","language":"English","publisher":"Frontiers in Endocrinology","doi":"10.3389/fendo.2013.00139","usgsCitation":"Wells, R.S., McHugh, K.A., Douglas, D.C., Shippee, S., McCabe, E.B., Barros, N., and Phillips, G.T., 2014, Evaluation of potential protective factors against metabolic syndrome in bottlenose dolphins:feeding and activity patterns of dolphins in Sarasota Bay, Florida: Frontiers in Endocrinology, v. 4, no. 139, p. 1-16, https://doi.org/10.3389/fendo.2013.00139.","productDescription":"16 p.","startPage":"1","endPage":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050350","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":473283,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fendo.2013.00139","text":"Publisher Index Page"},{"id":298700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Sarasota Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.60414123535156,\n              27.276602318536348\n            ],\n            [\n              -82.60414123535156,\n              27.346153994505922\n            ],\n            [\n              -82.52792358398436,\n              27.346153994505922\n            ],\n            [\n              -82.52792358398436,\n              27.276602318536348\n            ],\n            [\n              -82.60414123535156,\n              27.276602318536348\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"139","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1b6e4b02e76d7590be5","contributors":{"authors":[{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":542642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Katherine A.","contributorId":139709,"corporation":false,"usgs":false,"family":"McHugh","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":542643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shippee, Steve","contributorId":139710,"corporation":false,"usgs":false,"family":"Shippee","given":"Steve","email":"","affiliations":[],"preferred":false,"id":542644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Elizabeth Berens","contributorId":139131,"corporation":false,"usgs":false,"family":"McCabe","given":"Elizabeth","email":"","middleInitial":"Berens","affiliations":[{"id":12658,"text":"Chicago Zoological Society","active":true,"usgs":false}],"preferred":false,"id":542645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barros, Nélio B.","contributorId":89053,"corporation":false,"usgs":true,"family":"Barros","given":"Nélio B.","affiliations":[],"preferred":false,"id":542646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Goldie T.","contributorId":139711,"corporation":false,"usgs":false,"family":"Phillips","given":"Goldie","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":542647,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70074726,"text":"70074726 - 2014 - The Devonian Marcellus Shale and Millboro Shale","interactions":[],"lastModifiedDate":"2015-04-02T13:20:59","indexId":"70074726","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"The Devonian Marcellus Shale and Millboro Shale","docAbstract":"<p><span>The recent development of unconventional oil and natural gas resources in the United States builds upon many decades of research, which included resource assessment and the development of well completion and extraction technology. The Eastern Gas Shales Project, funded by the U.S. Department of Energy in the 1980s, investigated the gas potential of organic-rich, Devonian black shales in the Appalachian, Michigan, and Illinois basins. One of these eastern shales is the Middle Devonian Marcellus Shale, which has been extensively developed for natural gas and natural gas liquids since 2007. The Marcellus is one of the basal units in a thick Devonian shale sedimentary sequence in the Appalachian basin. The Marcellus rests on the Onondaga Limestone throughout most of the basin, or on the time-equivalent Needmore Shale in the southeastern parts of the basin. Another basal unit, the Huntersville Chert, underlies the Marcellus in the southern part of the basin. The Devonian section is compressed to the south, and the Marcellus Shale, along with several overlying units, grades into the age-equivalent Millboro Shale in Virginia. The Marcellus-Millboro interval is far from a uniform slab of black rock. This field trip will examine a number of natural and engineered exposures in the vicinity of the West Virginia&ndash;Virginia state line, where participants will have the opportunity to view a variety of sedimentary facies within the shale itself, sedimentary structures, tectonic structures, fossils, overlying and underlying formations, volcaniclastic ash beds, and to view a basaltic intrusion.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2014.0035(05)​","usgsCitation":"Soeder, D.J., Enomoto, C.B., and Chermak, J., 2014, The Devonian Marcellus Shale and Millboro Shale: GSA Field Guides, v. 35, p. 129-160, https://doi.org/10.1130/2014.0035(05)​.","productDescription":"32 p.","startPage":"129","endPage":"160","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053226","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.76,24.93 ], [ -91.76,48.52 ], [ -65.39,48.52 ], [ -65.39,24.93 ], [ -91.76,24.93 ] ] ] } } ] }","volume":"35","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7862e4b0abf75cf2d392","contributors":{"authors":[{"text":"Soeder, Daniel J.","contributorId":70040,"corporation":false,"usgs":true,"family":"Soeder","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":489754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chermak, John A.","contributorId":99899,"corporation":false,"usgs":true,"family":"Chermak","given":"John A.","affiliations":[],"preferred":false,"id":489755,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173889,"text":"70173889 - 2014 - A comparison of two gears for quantifying abundance of lotic-dwelling crayfish","interactions":[],"lastModifiedDate":"2016-06-15T13:05:30","indexId":"70173889","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of two gears for quantifying abundance of lotic-dwelling crayfish","docAbstract":"<p><span>Crayfish (saddlebacked crayfish, Orconectes medius) catch was compared using a kick seine applied two different ways with a 1-m2 quadrat sampler (with known efficiency and bias in riffles) from three small streams in the Missouri Ozarks. Triplicate samples (one of each technique) were taken from two creeks and one headwater stream (n=69 sites) over a two-year period. General linear mixed models showed the number of crayfish collected using the quadrat sampler was greater than the number collected using either of the two seine techniques. However, there was no significant interaction with gear suggesting year, stream size, and channel unit type did not relate to different catches of crayfish by gear type. Variation in catch among gears was similar, as was the proportion of young-of-year individuals across samples taken with different gears or techniques. Negative binomial linear regression provided the appropriate relation between the gears which allows correction factors to be applied, if necessary, to relate catches by the kick seine to those of the quadrat sampler. The kick seine appears to be a reasonable substitute to the quadrat sampler in these shallow streams, with the advantage of ease of use and shorter time required per sample.</span></p>","language":"English","publisher":"Crustacean Society","publisherLocation":"Washington, D.C.","doi":"10.1163/1937240X-00002212","issn":"1937-240X","collaboration":"Oklahoma Cooperative Fish and Wildlife Research Unit","usgsCitation":"Williams, K., Brewer, S.K., and Ellersieck, M.R., 2014, A comparison of two gears for quantifying abundance of lotic-dwelling crayfish: Journal of Crustacean Biology, v. 34, no. 1, p. 54-60, https://doi.org/10.1163/1937240X-00002212.","productDescription":"7 p.","startPage":"54","endPage":"60","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045893","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/1937240x-00002212","text":"Publisher Index Page"},{"id":323687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57627c2be4b07657d19a69b0","contributors":{"authors":[{"text":"Williams, Kristi","contributorId":171893,"corporation":false,"usgs":false,"family":"Williams","given":"Kristi","email":"","affiliations":[],"preferred":false,"id":639026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":638893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellersieck, Mark R.","contributorId":80841,"corporation":false,"usgs":true,"family":"Ellersieck","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639027,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185705,"text":"70185705 - 2014 - Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model","interactions":[],"lastModifiedDate":"2017-03-28T09:58:08","indexId":"70185705","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model","docAbstract":"<p><span>Soil moisture is a crucial control on surface water and energy fluxes, vegetation, and soil carbon cycling. Earth-system models (ESMs) generally represent an areal-average soil-moisture state in gridcells at scales of 50–200 km and as a result are not able to capture the nonlinear effects of topographically-controlled subgrid heterogeneity in soil moisture, in particular where wetlands are present. We addressed this deficiency by building a subgrid representation of hillslope-scale topographic gradients, TiHy (Tiled-hillslope Hydrology), into the Geophysical Fluid Dynamics Laboratory (GFDL) land model (LM3). LM3-TiHy models one or more representative hillslope geometries for each gridcell by discretizing them into land model tiles hydrologically coupled along an upland-to-lowland gradient. Each tile has its own surface fluxes, vegetation, and vertically-resolved state variables for soil physics and biogeochemistry. LM3-TiHy simulates a gradient in soil moisture and water-table depth between uplands and lowlands in each gridcell. Three hillslope hydrological regimes appear in non-permafrost regions in the model: wet and poorly-drained, wet and well-drained, and dry; with large, small, and zero wetland area predicted, respectively. Compared to the untiled LM3 in stand-alone experiments, LM3-TiHy simulates similar surface energy and water fluxes in the gridcell-mean. However, in marginally wet regions around the globe, LM3-TiHy simulates shallow groundwater in lowlands, leading to higher evapotranspiration, lower surface temperature, and higher leaf area compared to uplands in the same gridcells. Moreover, more than four-fold larger soil carbon concentrations are simulated globally in lowlands as compared with uplands. We compared water-table depths to those simulated by a recent global model-observational synthesis, and we compared wetland and inundated areas diagnosed from the model to observational datasets. The comparisons demonstrate that LM3-TiHy has the capability to represent some of the controls of these hydrological variables, but also that improvement in parameterization and input datasets are needed for more realistic simulations. We found large sensitivity in model-diagnosed wetland and inundated area to the depth of conductive soil and the parameterization of macroporosity. With improved parameterization and inclusion of peatland biogeochemical processes, the model could provide a new approach to investigating the vulnerability of Boreal peatland carbon to climate change in ESMs.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-11-8443-2014","usgsCitation":"Subin, Z., Milly, P., Sulman, B.N., Malyshev, S., and Shevliakova, E., 2014, Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model: Hydrology and Earth System Sciences, v. 11, p. 8443-8492, https://doi.org/10.5194/hessd-11-8443-2014.","productDescription":"50 p.","startPage":"8443","endPage":"8492","ipdsId":"IP-056981","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473315,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5194/hessd-11-8443-2014","text":"External Repository"},{"id":338439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58db7631e4b0ee37af29e4a4","contributors":{"authors":[{"text":"Subin, Z M","contributorId":189918,"corporation":false,"usgs":false,"family":"Subin","given":"Z M","affiliations":[],"preferred":false,"id":686473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":686472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sulman, B N","contributorId":189919,"corporation":false,"usgs":false,"family":"Sulman","given":"B","email":"","middleInitial":"N","affiliations":[],"preferred":false,"id":686474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malyshev, Sergey","contributorId":189177,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":686475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shevliakova, E","contributorId":189920,"corporation":false,"usgs":false,"family":"Shevliakova","given":"E","affiliations":[],"preferred":false,"id":686476,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174128,"text":"70174128 - 2014 - Northern Pintail","interactions":[],"lastModifiedDate":"2017-04-19T14:39:41","indexId":"70174128","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5033,"text":"The Birds of North America","active":true,"publicationSubtype":{"id":10}},"title":"Northern Pintail","docAbstract":"<p>This medium-sized dabbling duck of slender, elegant lines and conservative plumage coloration is circumpolar in distribution and abundant in North America, with core nesting habitat in Alaska and the Prairie Pothole Region of southern Canada and the northern Great Plains. Breeders favor shallow wetlands interspersed throughout prairie grasslands or arctic tundra. An early fall migrant, the species arrives on wintering areas beginning in August, after wing molt, often forming large roosting and feeding flocks on open, shallow wetlands and flooded agricultural fields. The birds consume grains, marsh plant seeds, and aquatic invertebrates throughout fall and winter.</p><p>Northern Pintails are among the earliest nesting ducks in North America, beginning shortly after ice-out in many northern areas. Individuals form new pair bonds each winter but are highly promiscuous during the nesting season, with mated and unmated males often involved in vigorous, acrobatic Pursuit Flights. Annual nest success and productivity vary with water conditions, predation, and weather. Females build nests on the ground, often far from water. Only the female incubates; her mate leaves shortly after incubation begins. Ducklings hatch together in one day, follow the female to water after a day in the nest, and fledge by July or August. Adults and ducklings consume mainly aquatic invertebrates during the breeding season.</p><p>Predators and farming operations destroy many thousands of Northern Pintail nests annually; farming has also greatly reduced the amount of quality nesting cover available. Winter habitats are threatened by water shortages, agricultural development, contamination, and urbanization. Periods of extended drought in prairie nesting regions have caused dramatic population declines, usually followed by periods of recovery. Over the long term, however, the continental population of Northern Pintails has declined significantly from 6 million birds in the early 1970s to less than 3 million in the late 1980s and early 1990s. Since then, the population appears to have stabilized; in 2013, the estimate was 3.3 million birds, a large number but below conservation goals despite favorable wetland conditions in much of the prairie breeding region. Ongoing conservation measures, however, such as habitat restoration and enhancement of agricultural lands, as well as prudent harvest management, suggest that Northern Pintails should have a secure future in North America.</p>","language":"English","publisher":"Cornell University","doi":"10.2173/bna.163","usgsCitation":"Clark, R.G., Fleskes, J., Guyn, K.L., Haukos, D.A., Austin, J.E., and Miller, M.R., 2014, Northern Pintail: The Birds of North America, https://doi.org/10.2173/bna.163.","ipdsId":"IP-050786","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":339985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877c2e4b0b7ea54521c3e","contributors":{"authors":[{"text":"Clark, Robert G.","contributorId":33781,"corporation":false,"usgs":false,"family":"Clark","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":692208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleskes, Joseph P. joe_fleskes@usgs.gov","contributorId":138999,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph P.","email":"joe_fleskes@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":692209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guyn, Karla L.","contributorId":191184,"corporation":false,"usgs":false,"family":"Guyn","given":"Karla","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":692210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":640971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Austin, Jane E. jaustin@usgs.gov","contributorId":2839,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":692211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":692212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148693,"text":"70148693 - 2014 - Population demographics and life history of the round hickorynut (Obovaria subrotunda) in the Duck River, Tennessee","interactions":[],"lastModifiedDate":"2015-07-01T13:52:23","indexId":"70148693","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Population demographics and life history of the round hickorynut (Obovaria subrotunda) in the Duck River, Tennessee","docAbstract":"<p><span>Population characteristics and life history aspects of healthy mussel populations are poorly understood. The reproductive cycle, age and growth, and population structure of&nbsp;</span><i>Obovaria subrotunda</i><span>&nbsp;were examined at four sites in the middle Duck River, Tennessee.&nbsp;</span><i>Obovaria subrotunda</i><span>&nbsp;was confirmed to be a bradytictic species, spawning in the late summer and holding glochidia in the gills for 11&nbsp;mo until the following summer. Fecundity was positively related to mussel length (R</span><sup>2</sup><span>&nbsp; =  0.75) and ranged from 7122 to 76,584 glochidia. Fourteen species of fish found in the Duck River, in the families Percidae, Cyprinidae, and Cottidae, were infested with glochidia in the laboratory to examine potential hosts. Juveniles transformed on</span><i>Etheostoma blennioides</i><span>&nbsp;(greenside darter),&nbsp;</span><i>E. obama</i><span>&nbsp;(spangled darter),&nbsp;</span><i>E. flabellare</i><span>&nbsp;(fantail darter), and&nbsp;</span><i>Cottus carolinae</i><span>&nbsp;(banded sculpin). Analyses of shell thin-sections indicated that males grew faster and obtained a larger size than females. Individuals live to at least 14&nbsp;y old. Females became sexually mature at age one. Four sites were quantitatively sampled using a systematic design with three random starts. The observed ratio of adult males to females (0.9∶1) did not differ significantly from 1∶1. Results of the quantitative sampling showed an increase in density compared to earlier studies and a high proportion of 1 to 5&nbsp;y old&nbsp;</span><i>O. subrotunda</i><span>.</span></p>","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-171.1.1","usgsCitation":"Ehlo, C., and Layzer, J.B., 2014, Population demographics and life history of the round hickorynut (Obovaria subrotunda) in the Duck River, Tennessee: American Midland Naturalist, v. 171, no. 1, p. 1-15, https://doi.org/10.1674/0003-0031-171.1.1.","productDescription":"15 p.","startPage":"1","endPage":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035137","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Duck River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.90288543701172,\n              35.58278027563934\n            ],\n            [\n              -86.90288543701172,\n              35.633581468816594\n            ],\n            [\n              -86.77379608154297,\n              35.633581468816594\n            ],\n            [\n              -86.77379608154297,\n              35.58278027563934\n            ],\n            [\n              -86.90288543701172,\n              35.58278027563934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"171","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f35e4b0b6d21dd6cbfa","contributors":{"authors":[{"text":"Ehlo, Chase","contributorId":145448,"corporation":false,"usgs":false,"family":"Ehlo","given":"Chase","affiliations":[],"preferred":false,"id":564072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layzer, James B. jim_layzer@usgs.gov","contributorId":1917,"corporation":false,"usgs":true,"family":"Layzer","given":"James","email":"jim_layzer@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":549060,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193629,"text":"70193629 - 2014 - Mammoth Mountain and its mafic periphery—A late Quaternary volcanic field in eastern California","interactions":[],"lastModifiedDate":"2019-03-11T08:11:47","indexId":"70193629","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mammoth Mountain and its mafic periphery—A late Quaternary volcanic field in eastern California","docAbstract":"<p><span>The trachydacite complex of Mammoth Mountain and an array of contemporaneous mafic volcanoes in its periphery together form a discrete late Pleistocene magmatic system that is thermally and compositionally independent of the adjacent subalkaline Long Valley system (California, USA). The Mammoth system first erupted ca. 230 ka, last erupted ca. 8 ka, and remains restless and potentially active. Magmas of the Mammoth system extruded through Mesozoic plutonic rocks of the Sierra Nevada batholith and extensive remnants of its prebatholith wall rocks. All of the many mafic and silicic vents of the Mammoth system are west or southwest of the structural boundary of Long Valley caldera; none is inboard of the caldera’s buried ring-fault zone, and only one Mammoth-related vent is within the zone. Mammoth Mountain has sometimes been called part of the Inyo volcanic chain, an ascription we regard inappropriate and misleading. The scattered vent array of the Mammoth system, 10 × 20 km wide, is unrelated to the range-front fault zone, and its broad nonlinear footprint ignores both Long Valley caldera and the younger Mono-Inyo range-front vent alignment. Moreover, the Mammoth Mountain dome complex (63%–71% SiO</span><sub>2</sub><span>; 8.0%–10.5% alkalies) ended its period of eruptive activity (100–50 ka) long before Holocene inception of Inyo volcanism. Here we describe 25 silicic eruptive units that built Mammoth Mountain and 37 peripheral units, which include 13 basalts, 15 mafic andesites, 6 andesites, and 3 dacites. Chemical data are appended for nearly 900 samples, as are paleomagnetic data for ∼150 sites drilled. The<span>&nbsp;</span></span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar dates (230–16 ka) are given for most units, and all exposed units are younger than ca. 190 ka. Nearly all are mildly alkaline, in contrast to the voluminous subalkaline rhyolites of the contiguous long-lived Long Valley magma system. Glaciated remnants of Neogene mafic and trachydacitic lavas (9.1–2.6 Ma) are scattered near Mammoth Mountain, but Quaternary equivalents older than ca. 230 ka are absent. The wide area of late Quaternary Mammoth magmatism remained amagmatic during the long interval (2.2–0.3 Ma) of nearby Long Valley rhyolitic eruptions.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01053.1","usgsCitation":"Hildreth, W., Fierstein, J., Champion, D.E., and Calvert, A.T., 2014, Mammoth Mountain and its mafic periphery—A late Quaternary volcanic field in eastern California: Geosphere, v. 10, no. 6, p. 1315-1365, https://doi.org/10.1130/GES01053.1.","productDescription":"51 p.","startPage":"1315","endPage":"1365","ipdsId":"IP-054988","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01053.1","text":"Publisher Index Page"},{"id":348116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.0456199645996,\n              37.615387232289116\n            ],\n            [\n              -119.01257514953612,\n              37.615387232289116\n            ],\n            [\n              -119.01257514953612,\n              37.6343536596899\n            ],\n            [\n              -119.0456199645996,\n              37.6343536596899\n            ],\n            [\n              -119.0456199645996,\n              37.615387232289116\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-12","publicationStatus":"PW","scienceBaseUri":"59fc2eace4b0531197b27fb3","contributors":{"authors":[{"text":"Hildreth, Wes 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":2221,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judith 0000-0001-8024-1426 jfierstn@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":147000,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith","email":"jfierstn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187161,"text":"70187161 - 2014 - Retirement investment theory explains patterns in songbird nest-site choice","interactions":[],"lastModifiedDate":"2017-04-25T15:55:50","indexId":"70187161","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Retirement investment theory explains patterns in songbird nest-site choice","docAbstract":"<p><span>When opposing evolutionary selection pressures act on a behavioural trait, the result is often stabilizing selection for an intermediate optimal phenotype, with deviations from the predicted optimum attributed to tracking a moving target, development of behavioural syndromes or shifts in riskiness over an individual's lifetime. We investigated nest-site choice by female golden-winged warblers, and the selection pressures acting on that choice by two fitness components, nest success and fledgling survival. We observed strong and consistent opposing selection pressures on nest-site choice for maximizing these two fitness components, and an abrupt, within-season switch in the fitness component birds prioritize via nest-site choice, dependent on the time remaining for additional nesting attempts. We found that females consistently deviated from the predicted optimal behaviour when choosing nest sites because they can make multiple attempts at one fitness component, nest success, but only one attempt at the subsequent component, fledgling survival. Our results demonstrate a unique natural strategy for balancing opposing selection pressures to maximize total fitness. This time-dependent switch from high to low risk tolerance in nest-site choice maximizes songbird fitness in the same way a well-timed switch in human investor risk tolerance can maximize one's nest egg at retirement. Our results also provide strong evidence for the adaptive nature of songbird nest-site choice, which we suggest has been elusive primarily due to a lack of consideration for fledgling survival.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2013.1834","usgsCitation":"Streby, H.M., Refsnider, J.M., Peterson, S.M., and Andersen, D., 2014, Retirement investment theory explains patterns in songbird nest-site choice: Proceedings of the Royal Society B: Biological Sciences, v. 281, no. 1777, Article 20131834; 8 p., https://doi.org/10.1098/rspb.2013.1834.","productDescription":"Article 20131834; 8 p.","ipdsId":"IP-043002","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2013.1834","text":"Publisher Index Page"},{"id":340412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Manitoba, Minnesota","otherGeospatial":"Rice Lake National Wildlife Refuge, Sandilands Provincial Forest, Tamarac National Wildlife Refuge","volume":"281","issue":"1777","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-22","publicationStatus":"PW","scienceBaseUri":"59006065e4b0e85db3a5dded","contributors":{"authors":[{"text":"Streby, Henry M.","contributorId":11024,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":692866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Refsnider, Jeanine M.","contributorId":166948,"corporation":false,"usgs":false,"family":"Refsnider","given":"Jeanine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":692946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Sean M.","contributorId":9354,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":692947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":692948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189089,"text":"70189089 - 2014 - Mapping saltwater intrusion in the Biscayne Aquifer, Miami-Dade County, Florida using transient electromagnetic sounding","interactions":[],"lastModifiedDate":"2017-11-06T11:03:19","indexId":"70189089","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Mapping saltwater intrusion in the Biscayne Aquifer, Miami-Dade County, Florida using transient electromagnetic sounding","docAbstract":"<p><span>Saltwater intrusion in southern Florida poses a potential threat to the public drinking-water supply that is typically monitored using water samples and electromagnetic induction logs collected from a network of wells. Transient electromagnetic (TEM) soundings are a complementary addition to the monitoring program because of their ease of use, low cost, and ability to fill in data gaps between wells. TEM soundings have been used to map saltwater intrusion in the Biscayne aquifer over a large part of south Florida including eastern Miami-Dade County and the Everglades. These two areas are very different with one being urban and the other undeveloped. Each poses different conditions that affect data collection and data quality. In the developed areas, finding sites large enough to make soundings is difficult. The presence of underground pipes further restricts useable locations. Electromagnetic noise, which reduces data quality, is also an issue. In the Everglades, access to field sites is difficult and working in water-covered terrain is challenging. Nonetheless, TEM soundings are an effective tool for mapping saltwater intrusion. Direct estimates of water quality can be obtained from the inverted TEM data using a formation factor determined for the Biscayne aquifer. This formation factor is remarkably constant over Miami-Dade County owing to the uniformity of the aquifer and the absence of clay. Thirty-six TEM soundings were collected in the Model Land area of southeast Miami-Dade County to aid in calibration of a helicopter electromagnetic (HEM) survey. The soundings and HEM survey revealed an area of saltwater intrusion aligned with canals and drainage ditches along U.S. Highway 1 and the Card Sound Road. These canals and ditches likely reduced freshwater levels through unregulated drainage and provided pathways for seawater to flow at least 12.4&nbsp;km inland.</span></p>","language":"English","publisher":"Environmental and Engineering Geophysical","doi":"10.2113/JEEG19.1.33","usgsCitation":"Fitterman, D.V., 2014, Mapping saltwater intrusion in the Biscayne Aquifer, Miami-Dade County, Florida using transient electromagnetic sounding: Journal of Environmental & Engineering Geophysics, v. 19, no. 1, p. 33-43, https://doi.org/10.2113/JEEG19.1.33.","productDescription":"11 p.","startPage":"33","endPage":"43","ipdsId":"IP-044880","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Biscayne Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.243896484375,\n              25.088086383542663\n            ],\n            [\n              -80.0848388671875,\n              25.088086383542663\n            ],\n            [\n              -80.0848388671875,\n              25.958044673317843\n            ],\n            [\n              -81.243896484375,\n              25.958044673317843\n            ],\n            [\n              -81.243896484375,\n              25.088086383542663\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c2e4b0d1f9f05067b0","contributors":{"authors":[{"text":"Fitterman, David V. dfitterman@usgs.gov","contributorId":1106,"corporation":false,"usgs":true,"family":"Fitterman","given":"David","email":"dfitterman@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702815,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187387,"text":"70187387 - 2014 - How much Is enough? Minimal responses of water quality and stream biota to partial retrofit stormwater management in a suburban neighborhood","interactions":[],"lastModifiedDate":"2017-05-01T12:34:52","indexId":"70187387","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"How much Is enough? Minimal responses of water quality and stream biota to partial retrofit stormwater management in a suburban neighborhood","docAbstract":"<p><span>Decentralized stormwater management approaches (e.g., biofiltration swales, pervious pavement, green roofs, rain gardens) that capture, detain, infiltrate, and filter runoff are now commonly used to minimize the impacts of stormwater runoff from impervious surfaces on aquatic ecosystems. However, there is little research on the effectiveness of retrofit, parcel-scale stormwater management practices for improving downstream aquatic ecosystem health. A reverse auction was used to encourage homeowners to mitigate stormwater on their property within the suburban, 1.8 km</span><sup>2</sup><span> Shepherd Creek catchment in Cincinnati, Ohio (USA). In 2007–2008, 165 rain barrels and 81 rain gardens were installed on 30% of the properties in four experimental (treatment) subcatchments, and two additional subcatchments were maintained as controls. At the base of the subcatchments, we sampled monthly baseflow water quality, and seasonal (5×/year) physical habitat, periphyton assemblages, and macroinvertebrate assemblages in the streams for the three years before and after treatment implementation. Given the minor reductions in directly connected impervious area from the rain barrel installations (11.6% to 10.4% in the most impaired subcatchment) and high total impervious levels (13.1% to 19.9% in experimental subcatchments), we expected minor or no responses of water quality and biota to stormwater management. There were trends of increased conductivity, iron, and sulfate for control sites, but no such contemporaneous trends for experimental sites. The minor effects of treatment on streamflow volume and water quality did not translate into changes in biotic health, and the few periphyton and macroinvertebrate responses could be explained by factors not associated with the treatment (e.g., vegetation clearing, drought conditions). Improvement of overall stream health is unlikely without additional treatment of major impervious surfaces (including roads, apartment buildings, and parking lots). Further research is needed to define the minimum effect threshold and restoration trajectories for retrofitting catchments to improve the health of stream ecosystems.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0085011","usgsCitation":"Roy, A.H., Rhea, L.K., Mayer, A.L., Shuster, W.D., Beaulieu, J.J., Hopton, M.E., Morrison, M.A., and St. Amand, A.E., 2014, How much Is enough? Minimal responses of water quality and stream biota to partial retrofit stormwater management in a suburban neighborhood: PLoS ONE, v. 9, no. 1, p. 1-14, https://doi.org/10.1371/journal.pone.0085011.","productDescription":"e85011; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-042659","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0085011","text":"Publisher Index Page"},{"id":340670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","city":"Cincinnati","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-17","publicationStatus":"PW","scienceBaseUri":"59084934e4b0fc4e448ffd88","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhea, Lee K.","contributorId":191662,"corporation":false,"usgs":false,"family":"Rhea","given":"Lee","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Audrey L.","contributorId":191663,"corporation":false,"usgs":false,"family":"Mayer","given":"Audrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shuster, William D.","contributorId":139413,"corporation":false,"usgs":false,"family":"Shuster","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":693747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beaulieu, Jake J.","contributorId":191664,"corporation":false,"usgs":false,"family":"Beaulieu","given":"Jake","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hopton, Matthew E.","contributorId":189133,"corporation":false,"usgs":false,"family":"Hopton","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morrison, Matthew A.","contributorId":191665,"corporation":false,"usgs":false,"family":"Morrison","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693750,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"St. Amand, Ann E.","contributorId":146962,"corporation":false,"usgs":false,"family":"St. Amand","given":"Ann","email":"","middleInitial":"E.","affiliations":[{"id":16763,"text":"PhycoTech, Inc.","active":true,"usgs":false}],"preferred":false,"id":693751,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70056935,"text":"70056935 - 2014 - Contaminants from Cretaceous black shale: I. Natural weathering processes controlling contaminant cycling in Mancos Shale, southwestern United States, with emphasis on salinity and selenium","interactions":[],"lastModifiedDate":"2020-12-30T16:46:56.894132","indexId":"70056935","displayToPublicDate":"2013-12-20T11:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants from Cretaceous black shale: I. Natural weathering processes controlling contaminant cycling in Mancos Shale, southwestern United States, with emphasis on salinity and selenium","docAbstract":"<p><span>Soils derived from black shale can accumulate high concentrations of elements of environmental concern, especially in regions with semiarid to arid climates. One such region is the Colorado River basin in the southwestern United States where contaminants pose a threat to agriculture, municipal water supplies, endangered aquatic species, and water-quality commitments to Mexico. Exposures of Cretaceous Mancos Shale (MS) in the upper basin are a major contributor of salinity and selenium in the Colorado River. Here, we examine the roles of geology, climate, and alluviation on contaminant cycling (emphasis on salinity and Se) during weathering of MS in a Colorado River tributary watershed. Stage I (incipient weathering) began perhaps as long ago as 20</span><span>&nbsp;</span><span>ka when lowering of groundwater resulted in oxidation of pyrite and organic matter. This process formed gypsum and soluble organic matter that persist in the unsaturated, weathered shale today. Enrichment of Se observed in laterally persistent ferric oxide layers likely is due to selenite adsorption onto the oxides that formed during fluctuating redox conditions at the water table. Stage II weathering (pedogenesis) is marked by a significant decrease in bulk density and increase in porosity as shale disaggregates to soil. Rainfall dissolves calcite and thenardite (Na</span><sub>2</sub><span>SO</span><sub>4</sub><span>) at the surface, infiltrates to about 1</span><span>&nbsp;</span><span>m, and precipitates gypsum during evaporation. Gypsum formation (estimated 390</span><span>&nbsp;</span><span>kg</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>) enriches soil moisture in Na and residual SO</span><sub>4</sub><span>. Transpiration of this moisture to the surface or exposure of subsurface soil (slumping) produces more thenardite. Most Se remains in the soil as selenite adsorbed to ferric oxides, however, some oxidizes to selenate and, during wetter conditions is transported with soil moisture to depths below 3</span><span>&nbsp;</span><span>m. Coupled with little rainfall, relatively insoluble gypsum, and the translocation of soluble Se downward, MS landscapes will be a significant nonpoint source of salinity and Se to the Colorado River well into the future. Other trace elements weathering from MS that are often of environmental concern include U and Mo, which mimic Se in their behavior; As, Co, Cr, Cu, Ni, and Pb, which show little redistribution; and Cd, Sb, V, and Zn, which accumulate in Stage I shale, but are lost to varying degrees from upper soil intervals. None of these trace elements have been reported previously as contaminants in the study area.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2013.12.010","usgsCitation":"Tuttle, M., Fahy, J.W., Elliott, J.G., Grauch, R.I., and Stillings, L., 2014, Contaminants from Cretaceous black shale: I. Natural weathering processes controlling contaminant cycling in Mancos Shale, southwestern United States, with emphasis on salinity and selenium: Applied Geochemistry, v. 46, p. 57-71, https://doi.org/10.1016/j.apgeochem.2013.12.010.","productDescription":"15 p.","startPage":"57","endPage":"71","ipdsId":"IP-038076","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":281481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado River Basin, Mancos Shale","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.993508,38.537542 ], [ -107.993508,38.818839 ], [ -107.749497,38.818839 ], [ -107.749497,38.537542 ], [ -107.993508,38.537542 ] ] ] } } ] }","volume":"46","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd52aae4b0b290850f4a9f","contributors":{"authors":[{"text":"Tuttle, Michele L. mtuttle@usgs.gov","contributorId":1028,"corporation":false,"usgs":true,"family":"Tuttle","given":"Michele L.","email":"mtuttle@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":486613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fahy, Juli W. jfahy@usgs.gov","contributorId":57362,"corporation":false,"usgs":true,"family":"Fahy","given":"Juli","email":"jfahy@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":486616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":486612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grauch, Richard I. 0000-0002-1763-0813 rgrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-1763-0813","contributorId":1193,"corporation":false,"usgs":true,"family":"Grauch","given":"Richard","email":"rgrauch@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":486614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":486615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70058543,"text":"70058543 - 2014 - Ecological limit functions relating fish community response to hydrologic departures of the ecological flow regime in the Tennessee River basin, United States","interactions":[],"lastModifiedDate":"2016-12-14T11:37:49","indexId":"70058543","displayToPublicDate":"2013-12-09T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological limit functions relating fish community response to hydrologic departures of the ecological flow regime in the Tennessee River basin, United States","docAbstract":"<div class=\"para\"><p>Ecological limit functions relating streamflow and aquatic ecosystems remain elusive despite decades of research. We investigated functional relationships between species richness and changes in streamflow characteristics at 662 fish sampling sites in the Tennessee River basin. Our approach included the following: (1) a brief summary of relevant literature on functional relations between fish and streamflow, (2) the development of ecological limit functions that describe the strongest discernible relationships between fish species richness and streamflow characteristics, (3) the evaluation of proposed definitions of hydrologic reference conditions, and (4) an investigation of the internal structures of wedge-shaped distributions underlying ecological limit functions.</p><p>Twenty-one ecological limit functions were developed across three ecoregions that relate the species richness of 11 fish groups and departures from hydrologic reference conditions using multivariate and quantile regression methods. Each negatively sloped function is described using up to four streamflow characteristics expressed in terms of cumulative departure from hydrologic reference conditions. Negative slopes indicate increased departure results in decreased species richness.</p><p>Sites with the highest measured fish species richness generally had near-reference hydrologic conditions for a given ecoregion. Hydrology did not generally differ between sites with the highest and lowest fish species richness, indicating that other environmental factors likely limit species richness at sites with reference hydrology.</p><p>Use of ecological limit functions to make decisions regarding proposed hydrologic regime changes, although commonly presented as a management tool, is not as straightforward or informative as often assumed. We contend that statistical evaluation of the internal wedge structure below limit functions may provide a probabilistic understanding of how aquatic ecology is influenced by altered hydrology and may serve as the basis for evaluating the potential effect of proposed hydrologic changes.</p></div>","language":"English","publisher":"John Wiley & Sons, Ltd.","doi":"10.1002/eco.1460","usgsCitation":"Knight, R., Murphy, J.C., Wolfe, W., Saylor, C.F., and Wales, A.K., 2014, Ecological limit functions relating fish community response to hydrologic departures of the ecological flow regime in the Tennessee River basin, United States: Ecohydrology, v. 7, no. 5, p. 1262-1280, https://doi.org/10.1002/eco.1460.","productDescription":"19 p.","startPage":"1262","endPage":"1280","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044901","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":473325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.1460","text":"Publisher Index Page"},{"id":280230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280223,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.1460"}],"country":"United States","otherGeospatial":"Tennessee River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.59374999999999,\n              33.925129700072\n            ],\n            [\n              -88.59374999999999,\n              37.3002752813443\n            ],\n            [\n              -81.23291015625,\n              37.3002752813443\n            ],\n            [\n              -81.23291015625,\n              33.925129700072\n            ],\n            [\n              -88.59374999999999,\n              33.925129700072\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-12-20","publicationStatus":"PW","scienceBaseUri":"52a717f2e4b0de1a6d2d96f3","contributors":{"authors":[{"text":"Knight, Rodney R. rrknight@usgs.gov","contributorId":2272,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney R.","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saylor, Charles F.","contributorId":29731,"corporation":false,"usgs":true,"family":"Saylor","given":"Charles","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":487163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wales, Amy K.","contributorId":108021,"corporation":false,"usgs":true,"family":"Wales","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":487164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048309,"text":"70048309 - 2014 - Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","interactions":[],"lastModifiedDate":"2018-09-14T16:04:03","indexId":"70048309","displayToPublicDate":"2013-11-27T10:41:00","publicationYear":"2014","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":"Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams","docAbstract":"To determine the prevalence of mycotoxins in streams, 116 water samples from 32 streams and three wastewater treatment plant effluents were collected in 2010 providing the broadest investigation on the spatial and temporal occurrence of mycotoxins in streams conducted in the United States to date. Out of the 33 target mycotoxins measured, nine were detected at least once during this study. The detections of mycotoxins were nearly ubiquitous during this study even though the basin size spanned four orders of magnitude. At least one mycotoxin was detected in 94% of the 116 samples collected. Deoxynivalenol was the most frequently detected mycotoxin (77%), followed by nivalenol (59%), beauvericin (43%), zearalenone (26%), β-zearalenol (20%), 3-acetyl-deoxynivalenol (16%), α-zearalenol (10%), diacetoxyscirpenol (5%), and verrucarin A (1%). In addition, one or more of the three known estrogenic compounds (i.e. zearalenone, α-zearalenol, and β-zearalenol) were detected in 43% of the samples, with maximum concentrations substantially higher than observed in previous research. While concentrations were generally low (i.e. < 50 ng/L) during this study, concentrations exceeding 1000 ng/L were measured during spring snowmelt conditions in agricultural settings and in wastewater treatment plant effluent. Results of this study suggest that both diffuse (e.g. release from infected plants and manure applications from exposed livestock) and point (e.g. wastewater treatment plants and food processing plants) sources are important environmental pathways for mycotoxin transport to streams. The ecotoxicological impacts from the long-term, low-level exposures to mycotoxins alone or in combination with complex chemical mixtures are unknown","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.09.062","usgsCitation":"Kolpin, D.W., Schenzel, J., Meyer, M.T., Phillips, P., Hubbard, L.E., Scott, T., and Bucheli, T.D., 2014, Mycotoxins: diffuse and point source contributions of natural contaminants of emerging concern to streams: Science of the Total Environment, v. 470-471, p. 669-676, https://doi.org/10.1016/j.scitotenv.2013.09.062.","productDescription":"8 p.","startPage":"669","endPage":"676","ipdsId":"IP-049901","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":279858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279857,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.09.062"}],"volume":"470-471","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716d6e4b08e44bf66fb83","contributors":{"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenzel, Judith","contributorId":36842,"corporation":false,"usgs":true,"family":"Schenzel","given":"Judith","email":"","affiliations":[],"preferred":false,"id":484289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bucheli, Thomas D.","contributorId":71455,"corporation":false,"usgs":true,"family":"Bucheli","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484290,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70057596,"text":"70057596 - 2014 - Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community","interactions":[],"lastModifiedDate":"2013-11-26T11:23:40","indexId":"70057596","displayToPublicDate":"2013-11-26T11:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community","docAbstract":"In an 8-month mesocosm experiment, we examined how a simulated Everglades aquatic community of small native fishes, snails, and shrimp changed with the addition of either a native predator (dollar sunfish Lepomis marginatus) or a non-native predator (African jewelfish Hemichromis letourneuxi) compared to a no-predator control. Two snail species (Planorbella duryi, Physella cubensis) and the shrimp (Palaemonetes paludosus) displayed the strongest predator-treatment effects, with significantly lower biomasses in tanks with Hemichromis. One small native fish (Heterandria formosa) was significantly less abundant in Hemichromis tanks, but there were no significant treatment effects for Gambusia holbrooki, Jordanella floridae, or Pomacea paludosa (applesnail). Overall, there were few treatment differences between native predator and no-predator control tanks. The results suggest that the potential of Hemichromis to affect basal food-web species that link primary producers with higher-level consumers in the aquatic food web, with unknown consequences for Florida waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10750-013-1697-0","usgsCitation":"Schofield, P., Slone, D., Gregoire, D.R., and Loftus, W., 2014, Effects of a non-native cichlid fish (African jewelfish, <i>Hemichromis letourneuxi</i> Sauvage 1880) on a simulated Everglades aquatic community: Hydrobiologia, v. 722, no. 1, p. 171-182, https://doi.org/10.1007/s10750-013-1697-0.","productDescription":"12 p.","startPage":"171","endPage":"182","numberOfPages":"12","ipdsId":"IP-044466","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279795,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-013-1697-0"}],"volume":"722","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-19","publicationStatus":"PW","scienceBaseUri":"5295c2fbe4b0becc369c7cc3","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":486830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":486829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregoire, Denise R.","contributorId":107028,"corporation":false,"usgs":true,"family":"Gregoire","given":"Denise","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftus, William F.","contributorId":48628,"corporation":false,"usgs":true,"family":"Loftus","given":"William F.","affiliations":[],"preferred":false,"id":486831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103148,"text":"70103148 - 2014 - Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation","interactions":[],"lastModifiedDate":"2021-02-04T18:30:02.186229","indexId":"70103148","displayToPublicDate":"2013-11-12T12:20:41","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation","docAbstract":"<p><span>Understanding the relative importance of top-down and bottom-up regulation of ecosystem structure is a fundamental ecological question, with implications for fisheries and water-quality management. For the Laurentian Great Lakes, where, since the early 1970s, nutrient inputs have been reduced, whereas top-predator biomass has increased, we describe trends across multiple trophic levels and explore their underlying drivers. Our analyses revealed increasing water clarity and declines in phytoplankton, native invertebrates, and prey fish since 1998 in at least three of the five lakes. Evidence for bottom-up regulation was strongest in Lake Huron, although each lake provided support in at least one pair of trophic levels. Evidence for top-down regulation was rare. Although nonindigenous dreissenid mussels probably have large impacts on nutrient cycling and phytoplankton, their effects on higher trophic levels remain uncertain. We highlight gaps for which monitoring and knowledge should improve the understanding of food-web dynamics and facilitate the implementation of ecosystem-based management.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bit001","usgsCitation":"Bunnell, D., Barbiero, R.P., Ludsin, S.A., Madenjian, C.P., Warren, G.J., Dolan, D.M., Brenden, T.O., Briland, R., Gorman, O.T., Hi, J.X., Johengen, T.F., Lantry, B.F., Lesht, B.M., Nalepa, T., Riley, S.C., Riseng, C.M., Treska, T.J., Tsehaye, I., Walsh, M., Warner, D.M., and Weidel, B., 2014, Changing ecosystem dynamics in the Laurentian Great Lakes: Bottom-up and top-down regulation: BioScience, v. 64, no. 1, p. 29-39, https://doi.org/10.1093/biosci/bit001.","productDescription":"11 p.","startPage":"29","endPage":"39","ipdsId":"IP-049007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bit001","text":"Publisher Index Page"},{"id":383022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, new York, Ontario, Pennsylvania, Wisconsin","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8671875,\n              41.11246878918088\n            ],\n            [\n              -75.41015624999999,\n              41.11246878918088\n            ],\n            [\n              -75.41015624999999,\n              49.32512199104001\n            ],\n            [\n              -93.8671875,\n              49.32512199104001\n            ],\n            [\n              -93.8671875,\n              41.11246878918088\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"5360bbd0e4b082a3ecf53dc2","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbiero, Richard P","contributorId":117910,"corporation":false,"usgs":true,"family":"Barbiero","given":"Richard","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":518769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludsin, Stuart A","contributorId":120607,"corporation":false,"usgs":true,"family":"Ludsin","given":"Stuart","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":518771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warren, Glenn J.","contributorId":79407,"corporation":false,"usgs":true,"family":"Warren","given":"Glenn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":518767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dolan, David M.","contributorId":7189,"corporation":false,"usgs":true,"family":"Dolan","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brenden, Travis O.","contributorId":13876,"corporation":false,"usgs":true,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":518761,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briland, Ruth","contributorId":65004,"corporation":false,"usgs":true,"family":"Briland","given":"Ruth","affiliations":[],"preferred":false,"id":518765,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hi, Ji X.","contributorId":119795,"corporation":false,"usgs":true,"family":"Hi","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":518770,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johengen, Thomas F.","contributorId":120785,"corporation":false,"usgs":true,"family":"Johengen","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":518772,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518758,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lesht, Barry M.","contributorId":72711,"corporation":false,"usgs":true,"family":"Lesht","given":"Barry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518766,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":518762,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":518754,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Riseng, Catherine M.","contributorId":30144,"corporation":false,"usgs":true,"family":"Riseng","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":518764,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Treska, Ted J.","contributorId":28528,"corporation":false,"usgs":true,"family":"Treska","given":"Ted","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":518763,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tsehaye, Iyob","contributorId":106801,"corporation":false,"usgs":true,"family":"Tsehaye","given":"Iyob","email":"","affiliations":[],"preferred":false,"id":518768,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518759,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518756,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":518753,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70058709,"text":"70058709 - 2014 - Modeling effects of climate change on Yakima River salmonid habitats","interactions":[],"lastModifiedDate":"2023-07-25T12:54:00.793053","indexId":"70058709","displayToPublicDate":"2013-11-07T10:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling effects of climate change on Yakima River salmonid habitats","docAbstract":"We evaluated the potential effects of two climate change scenarios on salmonid habitats in the Yakima River by linking the outputs from a watershed model, a river operations model, a two-dimensional (2D) hydrodynamic model, and a geographic information system (GIS). The watershed model produced a discharge time series (hydrograph) in two study reaches under three climate scenarios: a baseline (1981–2005), a 1-°C increase in mean air temperature (plus one scenario), and a 2-°C increase (plus two scenario). A river operations model modified the discharge time series with Yakima River operational rules, a 2D model provided spatially explicit depth and velocity grids for two floodplain reaches, while an expert panel provided habitat criteria for four life stages of coho and fall Chinook salmon. We generated discharge-habitat functions for each salmonid life stage (e.g., spawning, rearing) in main stem and side channels, and habitat time series for baseline, plus one (P1) and plus two (P2) scenarios. The spatial and temporal patterns in salmonid habitats differed by reach, life stage, and climate scenario. Seventy-five percent of the 28 discharge-habitat responses exhibited a decrease in habitat quantity, with the P2 scenario producing the largest changes, followed by P1. Fry and spring/summer rearing habitats were the most sensitive to warming and flow modification for both species. Side channels generally produced more habitat than main stem and were more responsive to flow changes, demonstrating the importance of lateral connectivity in the floodplain. A discharge-habitat sensitivity analysis revealed that proactive management of regulated surface waters (i.e., increasing or decreasing flows) might lessen the impacts of climate change on salmonid habitats.","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0980-4","usgsCitation":"Hatten, J.R., Batt, T.R., Connolly, P., and Maule, A.G., 2014, Modeling effects of climate change on Yakima River salmonid habitats: Climatic Change, v. 124, no. 1-2, p. 427-439, https://doi.org/10.1007/s10584-013-0980-4.","productDescription":"13 p.","startPage":"427","endPage":"439","numberOfPages":"13","ipdsId":"IP-045665","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473333,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-013-0980-4","text":"Publisher Index Page"},{"id":280270,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280259,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-013-0980-4"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,45.75 ], [ -121.5,48.5 ], [ -119.25,48.5 ], [ -119.25,45.75 ], [ -121.5,45.75 ] ] ] } } ] }","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"52aadaf0e4b078ad3e40e3aa","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batt, Thomas R. tbatt@usgs.gov","contributorId":3432,"corporation":false,"usgs":true,"family":"Batt","given":"Thomas","email":"tbatt@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":487283,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211393,"text":"70211393 - 2014 - National valuation of monarch butterflies indicates an untapped potential for incentive-based conservation","interactions":[],"lastModifiedDate":"2020-12-18T17:00:54.341225","indexId":"70211393","displayToPublicDate":"2013-10-28T09:02:37","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"National valuation of monarch butterflies indicates an untapped potential for incentive-based conservation","docAbstract":"<p><span>The annual migration of monarch butterflies (</span><i>Danaus plexippus</i><span>) has high cultural value and recent surveys indicate monarch populations are declining. Protecting migratory species is complex because they cross international borders and depend on multiple regions. Understanding how much, and where, humans place value on migratory species can facilitate market‐based conservation approaches. We performed a contingent valuation study of monarchs to understand the potential for such approaches to fund monarch conservation. The survey asked U.S. respondents about the money they would spend, or have spent, growing monarch‐friendly plants, and the amount they would donate to monarch conservation organizations. Combining planting payments and donations, the survey indicated U.S. households valued monarchs as a total one‐time payment of \\$4.78–\\$6.64 billion, levels similar to many endangered vertebrate species. The financial contribution of even a small percentage of households through purchases or donations could generate new funding for monarch conservation through market‐based approaches.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.12065","usgsCitation":"Diffendorfer, J., Loomiz, J., Ries, L., Oberhauser, K., Lopez-Hoffman, L., Semmens, D.J., Semmens, B., Butterfield, B., Bagstad, K.J., Goldstein, J., Wiederholt, R., Mattson, B., and Thogmartin, W.E., 2014, National valuation of monarch butterflies indicates an untapped potential for incentive-based conservation: Conservation Letters, v. 7, no. 3, p. 253-262, https://doi.org/10.1111/conl.12065.","productDescription":"10 p.","startPage":"253","endPage":"262","ipdsId":"IP-051071","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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