{"pageNumber":"66","pageRowStart":"1625","pageSize":"25","recordCount":4111,"records":[{"id":70119003,"text":"70119003 - 2014 - Mapping and monitoring Mount Graham red squirrel habitat with Lidar and Landsat imagery","interactions":[],"lastModifiedDate":"2016-04-26T10:02:52","indexId":"70119003","displayToPublicDate":"2014-08-04T09:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Mapping and monitoring Mount Graham red squirrel habitat with Lidar and Landsat imagery","docAbstract":"<p>The Mount Graham red squirrel (<i>Tamiasciurus hudsonicus grahamensis</i>) is an endemic subspecies located in the Pinale&ntilde;o Mountains of southeast Arizona. Living in a conifer forest on a sky-island surrounded by desert, the Mount Graham red squirrel is one of the rarest mammals in North America. Over the last two decades, drought, insect infestations, and fire destroyed much of its habitat. A federal recovery team is working on a plan to recover the squirrel and detailed information is necessary on its habitat requirements and population dynamics. Toward that goal I developed and compared three probabilistic models of Mount Graham red squirrel habitat with a geographic information system and logistic regression. Each model contained the same topographic variables (slope, aspect, elevation), but the Landsat model contained a greenness variable (Normalized Difference Vegetation Index) extracted from Landsat, the Lidar model contained three forest-inventory variables extracted from lidar, while the Hybrid model contained Landsat and lidar variables. The Hybrid model produced the best habitat classification accuracy, followed by the Landsat and Lidar models, respectively. Landsat-derived forest greenness was the best predictor of habitat, followed by topographic (elevation, slope, aspect) and lidar (tree height, canopy bulk density, and live basal area) variables, respectively. The Landsat model's probabilities were significantly correlated with all 12 lidar variables, indicating its utility for habitat mapping. While the Hybrid model produced the best classification results, only the Landsat model was suitable for creating a habitat time series or habitat&ndash;population function between 1986 and 2013. The techniques I highlight should prove valuable in the development of Landsat- or lidar-based habitat models range wide.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2014.07.004","usgsCitation":"Hatten, J.R., 2014, Mapping and monitoring Mount Graham red squirrel habitat with Lidar and Landsat imagery: Ecological Modelling, v. 289, p. 106-123, https://doi.org/10.1016/j.ecolmodel.2014.07.004.","productDescription":"18 p.","startPage":"106","endPage":"123","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053195","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":291561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291556,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2014.07.004"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.859696,32.631505 ], [ -109.859696,32.650297 ], [ -109.827681,32.650297 ], [ -109.827681,32.631505 ], [ -109.859696,32.631505 ] ] ] } } ] }","volume":"289","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e09030e4b0beb42bdc040c","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":497568,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176617,"text":"70176617 - 2014 - The geology and geochemistry of Isla Floreana, Galápagos: A different type of late-stage ocean island volcanism","interactions":[],"lastModifiedDate":"2020-07-01T20:07:19.189142","indexId":"70176617","displayToPublicDate":"2014-08-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"The geology and geochemistry of Isla Floreana, Galápagos: A different type of late-stage ocean island volcanism","docAbstract":"<p><span>Isla Floreana, the southernmost volcano in the Galápagos Archipelago, has erupted a diverse suite of alkaline basalts continually since 1.5 Ma. Because these basalts have different compositions than xenoliths and older lavas from the deep submarine sector of the volcano, Floreana is interpreted as being in a rejuvenescent or late-stage phase of volcanism. Most lavas contain xenoliths, or their disaggregated remains. The xenolithic debris and large ranges in composition, including during single eruptions, indicate that the magmas do not reside in crustal magma chambers, unlike magmas in the western Galápagos. Floreana lavas have distinctive trace element compositions that are rich in fluid-immobile elements (e.g., Ta, Nb, Th, Zr) and even richer in fluid-mobile elements (e.g., Ba, Sr, Pb). Rare earth element (REE) patterns are light REE-enriched and distinctively concave-up. Neodymium isotopic ratios are comparable to those from Fernandina, at the core of the Galápagos plume, but Floreana has the most radiogenic Sr and Pb isotopic ratios in the archipelago. These trace element patterns and isotopic ratios are attributed to a mixed source originating within the Galápagos plume, which includes depleted upper mantle, plume material rich in TITAN elements (Ti, Ta, Nb), and recycled oceanic crust that has undergone partial dehydration in an ancient subduction zone. Because Floreana lies at the periphery of the Galápagos plume, melting occurs mostly in the spinel zone, and enriched components dominate; the Floreana recycled mantle component influence is detectable in volcanoes along the entire southern periphery of the archipelago as well. Floreana is the only Galápagos volcano known to have undergone late-stage volcanism. Here, however, the secondary stage activity is more compositionally enriched than the shield-building phase, in contrast to what is observed in Hawai‘i, suggesting that the mechanism driving late-stage volcanism may vary among ocean island provinces.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Galápagos: A natural laboratory for the earth sciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781118852538.ch6","usgsCitation":"Harpp, K.S., Geist, D.J., Koleszar, A.M., Christensen, B., Lyons, J.J., Sabga, M., and Rollins, N., 2014, The geology and geochemistry of Isla Floreana, Galápagos: A different type of late-stage ocean island volcanism, chap. 6 <i>of</i> The Galápagos: A natural laboratory for the earth sciences, v. 204, p. 71-117, https://doi.org/10.1002/9781118852538.ch6.","productDescription":"47 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W.","contributorId":167398,"corporation":false,"usgs":false,"family":"Graham","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":650691,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Harpp, Karen S.","contributorId":12271,"corporation":false,"usgs":true,"family":"Harpp","given":"Karen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":650682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Dennis J.","contributorId":47145,"corporation":false,"usgs":true,"family":"Geist","given":"Dennis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":650683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koleszar, Alison M.","contributorId":175276,"corporation":false,"usgs":false,"family":"Koleszar","given":"Alison","email":"","middleInitial":"M.","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":650684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Branden","contributorId":175277,"corporation":false,"usgs":false,"family":"Christensen","given":"Branden","email":"","affiliations":[],"preferred":false,"id":650685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science 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,{"id":70118434,"text":"70118434 - 2014 - The Early Jurassic Bokan Mountain peralkaline granitic complex (southeastern Alaska): geochemistry, petrogenesis and rare-metal mineralization","interactions":[],"lastModifiedDate":"2014-07-29T15:21:48","indexId":"70118434","displayToPublicDate":"2014-07-29T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"The Early Jurassic Bokan Mountain peralkaline granitic complex (southeastern Alaska): geochemistry, petrogenesis and rare-metal mineralization","docAbstract":"The Early Jurassic (ca. 177 Ma) Bokan Mountain granitic complex, located on southern Prince of Wales Island, southernmost Alaska, cross-cuts Paleozoic igneous and metasedimentary rocks of the Alexander terrane of the North American Cordillera and was emplaced during a rifting event. The complex is a circular body (~3 km in diameter) of peralkaline granitic composition that has a core of arfvedsonite granite surrounded by aegirine granite.  All the rock-forming minerals typically record a two-stage growth history and  aegirine and arfvedsonite were the last major phases to crystalize from the magma. The Bokan granites and related dikes have SiO<sub>2</sub>  from 72 to 78 wt. %,  high iron (FeO <sub>(tot)</sub> ~3-4.5 wt. %) and alkali (8-10 wt.%) concentrations with  high  FeO<sub>(tot)</sub>/(FeO<sub>(tot)</sub>+MgO) ratios (typically >0.95) and the molar Al<sub>2</sub>O<sub>3</sub>/(Na<sub>2</sub>O+K<sub>2</sub>O) ratio <1.  The granitic rocks are characterized by elevated contents of rare earth elements (REE), Th, U and high field strength elements (HFSE) and low contents of Ca, Sr, Ba and Eu, typical of peralkaline granites. The granites have high positive ε<sub>Nd</sub> values which are indicative of a mantle signature. The parent magma is inferred to be derived from an earlier metasomatized lithospheric mantle by low degrees of partial melting and generated the Bokan granitic melt through extensive fractional crystallization. The Bokan complex hosts significant rare-metal (REE, Y, U, Th, Nb) mineralization that is related to the late-stage crystallization history of the complex which involved the overlap of emplacement of felsic dikes, including pegmatite bodies, and generation of orthomagmatic fluids.  The abundances of REE, HFSE, U and Th as well as Pb and Nd isotopic values of the pluton and dikes were modified by orthomagmatic hydrothermal fluids highly enriched in the strongly incompatible trace elements, which also escaped along zones of structural weakness to generate rare-metal mineralization. The latter was deposited in two stages:  the first relates to the latest stage of magma emplacement and is associated with felsic dikes that intruded along the faults and shear deformations, whereas the second stage involved ingress of hydrothermal fluids that both remobilized and enriched the initial magmatic mineralization. Mineralization is mostly composed of  new minerals.  Fluorine complexing played a role during the transportation of REE and HFSE in hydrothermal fluids and oxygen isotopes in the granites and quartz veins negate the significant incursion of an external fluid and support a dominantly orthomagmatic hydrothermal system. Many other REE-HFSE deposits hosted by peralkaline felsic rocks (nepheline syenites, peralkaline granites and peralkaline trachytes) were formed by a similar two stage process.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"LITHOS","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2014.06.005","usgsCitation":"Dostal, J., Kontak, D.J., and Karl, S.M., 2014, The Early Jurassic Bokan Mountain peralkaline granitic complex (southeastern Alaska): geochemistry, petrogenesis and rare-metal mineralization: LITHOS, v. 202-203, p. 395-412, https://doi.org/10.1016/j.lithos.2014.06.005.","productDescription":"18 p.","startPage":"395","endPage":"412","numberOfPages":"18","ipdsId":"IP-053049","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":291349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291235,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.lithos.2014.06.005"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince Of Wales Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -132.19984,54.880062 ], [ -132.19984,54.960131 ], [ -132.029971,54.960131 ], [ -132.029971,54.880062 ], [ -132.19984,54.880062 ] ] ] } } ] }","volume":"202-203","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f097e4b0bc0bec09f85b","contributors":{"authors":[{"text":"Dostal, Jaroslav","contributorId":11497,"corporation":false,"usgs":true,"family":"Dostal","given":"Jaroslav","email":"","affiliations":[],"preferred":false,"id":496895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kontak, Daniel J.","contributorId":23051,"corporation":false,"usgs":true,"family":"Kontak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":496894,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70117068,"text":"70117068 - 2014 - Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries","interactions":[],"lastModifiedDate":"2014-07-22T08:36:30","indexId":"70117068","displayToPublicDate":"2014-07-18T09:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries","docAbstract":"To assess the potential influence of coastal development on estuarine-habitat quality, we characterized land use and the intensity of land development surrounding small tidal tributaries in Tampa Bay. Based on this characterization, we classified tributaries as undeveloped, industrial, urban, or man-made (i.e., mosquito-control ditches). Over one third (37 %) of the tributaries have been heavily developed based on landscape development intensity (LDI) index values >5.0, while fewer than one third (28 %) remain relatively undeveloped (LDI < 3.0). We then examined the nekton community from 11 tributaries in watersheds representing the four defined land-use classes. Whereas mean nekton density was independent of land use, species richness and nekton-community structure were significantly different between urban and non-urban (i.e., undeveloped, industrial, man-made) tributaries. In urban creeks, the community was species-poor and dominated by high densities of poeciliid fishes, Poecilia latipinna and Gambusia holbrooki, while typically dominant estuarine taxa including Menidia spp., Fundulus grandis, and Adinia xenica were in low abundance and palaemonid grass shrimp were nearly absent. Densities of economically important taxa in urban creeks were only half that observed in five of the six undeveloped or industrial creeks, but were similar to those observed in mosquito ditches suggesting that habitat quality in urban and mosquito-ditch tributaries is suboptimal compared to undeveloped tidal creeks. Furthermore, five of nine common taxa were rarely collected in urban creeks. Our results suggest that urban development in coastal areas has the potential to alter the quality of habitat for nekton in small tidal tributaries as reflected by variation in the nekton community.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12237-013-9726-9","usgsCitation":"Krebs, J.M., McIvor, C.C., and Bell, S.S., 2014, Nekton community structure varies in response to coastal urbanization near mangrove tidal tributaries: Estuaries and Coasts, v. 37, no. 4, p. 815-831, https://doi.org/10.1007/s12237-013-9726-9.","productDescription":"17 p.","startPage":"815","endPage":"831","numberOfPages":"17","ipdsId":"IP-049836","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":290421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290420,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-013-9726-9"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.75,27.5 ], [ -82.75,28.0 ], [ -82.25,28.0 ], [ -82.25,27.5 ], [ -82.75,27.5 ] ] ] } } ] }","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-26","publicationStatus":"PW","scienceBaseUri":"53cd68cce4b0b290851024a7","contributors":{"authors":[{"text":"Krebs, Justin M.","contributorId":35546,"corporation":false,"usgs":true,"family":"Krebs","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIvor, Carole C.","contributorId":73254,"corporation":false,"usgs":true,"family":"McIvor","given":"Carole","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":495913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Susan S.","contributorId":77237,"corporation":false,"usgs":true,"family":"Bell","given":"Susan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":495914,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175226,"text":"70175226 - 2014 - Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin","interactions":[],"lastModifiedDate":"2021-01-04T15:36:46.692309","indexId":"70175226","displayToPublicDate":"2014-07-17T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin","docAbstract":"<p><span>Energy development, in combination with other environmental stressors, poses a persistent threat to rare species endemic to energy-producing regions of the western United States. Demographic analyses of monitored populations can provide key information on the natural dynamics of threatened plant and animal populations and how these dynamics might be affected by present and future development. In the Uinta Basin in Utah and Colorado, Graham's beardtongue (</span><i>Penstemon grahamii</i><span>) and White River beardtongue (</span><i>Penstemon scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>) are 2 rare endemic wildflowers that persist on oil shale habitats that are heavily impacted by current energy exploration and development and are slated for expanded traditional drilling and oil shale development. We described demographic characteristics and population viability for 2 populations of each species that have been monitored since 2004. First, we measured population size, survival rates, transitions between life stages, and recruitment by using individually marked plants at the 4 study areas. We then used matrix population models to determine stochastic population growth rates (λ) and the probability that each population would persist 50 years into the future, given current conditions. The 2&nbsp;</span><i>P. grahamii</i><span>&nbsp;study plots had small populations, averaging 70 adult plants, and relatively constant and high survival in both vegetative and flowering plants. The 2&nbsp;</span><i>P. scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>&nbsp;study plots had populations that averaged 120 adult plants, with high and stable survival in flowering plants and variable survival in vegetative plants. Recruitment of new seedlings into all populations was low and variable, with most recruitment occurring in one or 2 years. Both&nbsp;</span><i>P. grahamii</i><span>&nbsp;populations had λ near 1.0 (stable). One&nbsp;</span><i>P. scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>&nbsp;population appeared to be declining (λ = 0.97), whereas the other was increasing (λ = 1.16). Our analyses reveal populations that appear relatively stable, but that are susceptible to declines now and into the future. Increases in environmental variability, deterministic changes in habitat conditions or stressors, or a single catastrophic event could all have immediately deleterious impacts on the long-term growth trajectory of these populations.</span></p>","language":"English","publisher":"M.L. Bean Museum","publisherLocation":"Provo, UT","doi":"10.3398/064.074.0302","usgsCitation":"McCaffery, R., Reisor, R., Irvine, K.M., and Brunson, J., 2014, Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin: Western North American Naturalist, v. 74, no. 3, p. 257-274, https://doi.org/10.3398/064.074.0302.","productDescription":"18 p.","startPage":"257","endPage":"274","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048882","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":487786,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol74/iss3/1","text":"External Repository"},{"id":326010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Uinta Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.060791015625,\n              38.14751758025121\n            ],\n            [\n              -109.05029296875,\n              38.14751758025121\n            ],\n            [\n              -109.05029296875,\n              40.95501133048621\n            ],\n            [\n              -111.060791015625,\n              40.95501133048621\n            ],\n            [\n              -111.060791015625,\n              38.14751758025121\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315bde4b006cb45558a4c","contributors":{"authors":[{"text":"McCaffery, Rebecca M.","contributorId":57364,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca M.","affiliations":[],"preferred":false,"id":644418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reisor, Rita","contributorId":173368,"corporation":false,"usgs":false,"family":"Reisor","given":"Rita","email":"","affiliations":[{"id":27215,"text":"Red Butte Garden and Arboretum","active":true,"usgs":false}],"preferred":false,"id":644419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunson, Jessi","contributorId":173369,"corporation":false,"usgs":false,"family":"Brunson","given":"Jessi","email":"","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":644420,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217556,"text":"70217556 - 2014 - Geochemical and Nd-Sr-Pb isotopic evolution of metabasites from rifting of continental lithosphere, Seward Peninsula, Alaska, and implications for paleogeographic reconstruction","interactions":[],"lastModifiedDate":"2021-01-22T12:55:23.890927","indexId":"70217556","displayToPublicDate":"2014-07-01T16:15:16","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geochemical and Nd-Sr-Pb isotopic evolution of metabasites from rifting of continental lithosphere, Seward Peninsula, Alaska, and implications for paleogeographic reconstruction","docAbstract":"<div class=\"widget widget-BookChapterMainView widget-instance-BookChapterMainView\"><div class=\"content-inner-wrap\"><div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"BookSectionsText\"><div class=\"category-section content-section js-content-section\" data-statsid=\"4797086\"><p>The chemical character of mafic rocks from the Arctic Alaska–Chukotka terrane records rifting of continental crust during the early Paleozoic, possibly during the Ordovician. The mafic rocks are part of a metamorphosed Neoproterozoic to Devonian continental margin sequence preserved in a Mesozoic metamorphic terrane, the Nome Complex, of Seward Peninsula, Alaska. Protoliths of the mafic rocks include basalt and mafic clastic rocks, which were interlayered with calcareous, pelitic, and feldspathic sediments, and gabbro and diabase, likely feeder dikes and sills to the basalt. Major-element, trace-element, and rare-earth element (REE) analyses of these mafic rocks, together with analyses of Nd, Pb, and Sr isotopes, form two compositional groups. The two groups differ in Nb/Y (one plots as basalt, the other as alkali to subalkali basalt), TiO<sub>2</sub>, P<sub>2</sub>O<sub>5</sub>, and Nb (and other elements). The high-Ti group is characterized by enrichment of light REE; the low-Ti group lacks such enrichment. The trace-element and isotopic characteristics of the two groups resemble typical non-arc magmas derived from the mantle: the low-Ti group has compositions between normal mid-ocean ridge basalt (N-MORB) and enriched mid-ocean ridge basalt (E-MORB), while those of the high-Ti group are between E-MORB and ocean-island basalt (OIB). The two groups have overlapping positive values of ε<sub>Nd</sub><span>&nbsp;</span>(+0.34 to +7.40). TiO<sub>2</sub>/Yb ratios suggest the high-Ti group formed from melts generated under normal thickness of continental crust, while the low-Ti group formed from melts generated at shallower conditions, presumably after rift-related crustal thinning had progressed.</p><p>Geologic, paleontologic, and geochronologic characteristics of the Nome Complex support an origin along the NE margin of Baltica. The rift-related magmatism in the Nome Complex likely occurred during the opening of the Uralian ocean along that margin; by implication, related parts of the Arctic Alaska–Chukotka terrane may have experienced a similar origin.</p></div></div></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reconstruction of a Late Proterozoic to Devonian continental margin sequence, northern Alaska, its paleogeographic significance, and contained base-metal sulfide deposits","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.2506(05)","usgsCitation":"Ayuso, R.A., and Till, A., 2014, Geochemical and Nd-Sr-Pb isotopic evolution of metabasites from rifting of continental lithosphere, Seward Peninsula, Alaska, and implications for paleogeographic reconstruction, chap. <i>of</i> Reconstruction of a Late Proterozoic to Devonian continental margin sequence, northern Alaska, its paleogeographic significance, and contained base-metal sulfide deposits, p. 133-172, https://doi.org/10.1130/2014.2506(05).","productDescription":"40 p.","startPage":"133","endPage":"172","ipdsId":"IP-054555","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":382467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.662109375,\n              64.18724867664994\n            ],\n            [\n              -159.6533203125,\n              64.18724867664994\n            ],\n            [\n              -159.6533203125,\n              66.69213122233872\n            ],\n            [\n              -168.662109375,\n              66.69213122233872\n            ],\n            [\n              -168.662109375,\n              64.18724867664994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":808664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Till, Alison 0000-0002-6640-6877","orcid":"https://orcid.org/0000-0002-6640-6877","contributorId":247882,"corporation":false,"usgs":false,"family":"Till","given":"Alison","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":808665,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70114296,"text":"70114296 - 2014 - Shaking up volcanoes","interactions":[],"lastModifiedDate":"2019-03-13T10:55:54","indexId":"70114296","displayToPublicDate":"2014-07-01T15:12:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Shaking up volcanoes","docAbstract":"Most volcanic eruptions that occur shortly after a large distant earthquake do so by random chance. A few compelling cases for earthquake-triggered eruptions exist, particularly within 200 km of the earthquake, but this phenomenon is rare in part because volcanoes must be poised to erupt in order to be triggered by an earthquake (1). Large earthquakes often perturb volcanoes in more subtle ways by triggering small earthquakes and changes in spring discharge and groundwater levels (1, 2). On page 80 of this issue, Brenguier et al. (3) provide fresh insight into the interaction of large earthquakes and volcanoes by documenting a temporary change in seismic velocity beneath volcanoes in Honshu, Japan, after the devastating Tohoku-Oki earthquake in 2011.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.1256196","usgsCitation":"Prejean, S.G., and Haney, M., 2014, Shaking up volcanoes: Science, v. 345, no. 6192, p. 39-39, https://doi.org/10.1126/science.1256196.","productDescription":"1 p.","startPage":"39","endPage":"39","numberOfPages":"1","ipdsId":"IP-057459","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":294938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"345","issue":"6192","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542fbaabe4b092f17df61dce","contributors":{"authors":[{"text":"Prejean, Stephanie G. sprejean@usgs.gov","contributorId":2602,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":495307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, Matthew M.","contributorId":61356,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew M.","affiliations":[],"preferred":false,"id":495308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157127,"text":"70157127 - 2014 - Sediment concentrations, flow conditions, and downstream evolution of two turbidity currents, Monterey Canyon, USA","interactions":[],"lastModifiedDate":"2015-09-09T10:35:41","indexId":"70157127","displayToPublicDate":"2014-07-01T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Sediment concentrations, flow conditions, and downstream evolution of two turbidity currents, Monterey Canyon, USA","docAbstract":"<p><span>The capacity of turbidity currents to carry sand and coarser sediment from shallow to deep regions in the submarine environment has attracted the attention of researchers from different disciplines. Yet not only are field measurements of oceanic turbidity currents a rare achievement, but also the data that have been collected consist mostly of velocity records with very limited or no suspended sediment concentration or grain size distribution data. This work focuses on two turbidity currents measured in Monterey Canyon in 2002 with emphasis on suspended sediment from unique samples collected within the body of these currents. It is shown that concentration and grain size of the suspended material, primarily controlled by the source of the gravity flows and their interaction with bed material, play a significant role in shaping the characteristics of the turbidity currents as they travel down the canyon. Before the flows reach their normal or quasi-steady state, which is defined by bed slope, bed roughness, and suspended grain size, they might pass through a preliminary adjustment stage where they are subject to capacity-driven deposition, and release heavy material in excess. Flows composed of fine (silt/clay) sediments tend to be thicker than those with sands. The measured velocity and concentration data confirm that flow patterns differ between the front and body of turbidity currents and that, even after reaching normal state, the flow regime can be radically disrupted by abrupt changes in canyon morphology.</span></p>","language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1016/j.dsr.2014.04.001","usgsCitation":"Xu, J., Sequeiros, O.E., and Noble, M.A., 2014, Sediment concentrations, flow conditions, and downstream evolution of two turbidity currents, Monterey Canyon, USA: Deep-Sea Research Part I: Oceanographic Research Papers, v. 89, p. 11-34, https://doi.org/10.1016/j.dsr.2014.04.001.","productDescription":"24 p.","startPage":"11","endPage":"34","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049816","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15832e4b0dacf699eb97d","contributors":{"authors":[{"text":"Xu, Jingping jpx@usgs.gov","contributorId":2574,"corporation":false,"usgs":true,"family":"Xu","given":"Jingping","email":"jpx@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":571753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sequeiros, Octavio E.","contributorId":147450,"corporation":false,"usgs":false,"family":"Sequeiros","given":"Octavio","email":"","middleInitial":"E.","affiliations":[{"id":16856,"text":"Shell Global Solutions International","active":true,"usgs":false}],"preferred":false,"id":571754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":571755,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217342,"text":"70217342 - 2014 - Age, chemistry, and correlations of Neoproterozoic–Devonian igneous rocks of the Arctic Alaska–Chukotka terrane: An overview with new U-Pb ages","interactions":[],"lastModifiedDate":"2021-01-18T16:33:57.569936","indexId":"70217342","displayToPublicDate":"2014-07-01T10:28:30","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Age, chemistry, and correlations of Neoproterozoic–Devonian igneous rocks of the Arctic Alaska–Chukotka terrane: An overview with new U-Pb ages","docAbstract":"<p><span>The Arctic Alaska–Chukotka terrane is a microcontinent with an origin exotic to Laurentia. We used a sensitive high-resolution ion microprobe (SHRIMP) to date nine samples of Neoproterozoic rock and five samples of Devonian rock from the Brooks Range and Seward Peninsula of Alaska and from the Chukotka Peninsula of northeastern Russia. Felsic magmatism occurred at 968 Ma and 742 Ma in the Brooks Range and at 865 Ma and 670–666 Ma on Seward Peninsula. Felsic igneous rocks in Chukotka were dated at 656 Ma and 574 Ma. Devonian igneous rocks are found throughout the Arctic Alaska–Chukotka terrane, and we dated samples with ages of 391 Ma, 390 Ma, 385 Ma, 371 Ma, and 363 Ma. The felsic character of the Neoproterozoic rocks suggests formation at least in part through crustal melting. The age of the crustal source rocks that melted to form the Neoproterozoic rocks is inferred to be Mesoproterozoic based on Nd model ages ranging from 1.6 to 1.4 Ga. Rocks of this age range have been reported from the basement of Baltica but are rare in Laurentia. The 565 Ma orthogneisses on Seward Peninsula have ca. 1.1 Ga Nd model ages. Devonian igneous rocks have a wide range of model ages ranging from 1.6 to 0.8 Ga. The tectonic setting of the 968 Ma, 865 Ma, and 742 Ma rocks is unknown. The ca. 670 Ma magmatism on Seward Peninsula is interpreted to have occurred in an arc setting based on geochemistry and similarities in their ages to the Avalonian–Cadomian arc system peripheral to Gondwana. Latest Neoproterozoic magmatism is inferred to have occurred in a rift setting based on composition and the Paleozoic passive margin sequence that was deposited across the Arctic Alaska–Chukokta terrane. Devonian magmatism likely occurred in an arc and/or backarc rift setting. Significant uncertainties remain concerning the age of the Arctic Alaska–Chukotka terrane basement, particularly the age of the host rocks for Neoproterozoic intrusions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reconstruction of a Late Proterozoic to Devonian continental margin sequence, northern Alaska, its paleogeographic significance, and contained base-metal sulfide deposits","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.2506(02)","usgsCitation":"Amato, J.M., Aleinikoff, J.N., Akinin, V.V., McClelland, W.C., and Toro, J., 2014, Age, chemistry, and correlations of Neoproterozoic–Devonian igneous rocks of the Arctic Alaska–Chukotka terrane: An overview with new U-Pb ages, chap. <i>of</i> Reconstruction of a Late Proterozoic to Devonian continental margin sequence, northern Alaska, its paleogeographic significance, and contained base-metal sulfide deposits, v. 506, p. 29-58, https://doi.org/10.1130/2014.2506(02).","productDescription":"30 p.","startPage":"29","endPage":"58","ipdsId":"IP-049818","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":382273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.134765625,\n              62.471723714758724\n            ],\n            [\n              -145.5908203125,\n              62.471723714758724\n            ],\n            [\n              -145.5908203125,\n              69.99053495947653\n            ],\n            [\n              -168.134765625,\n              69.99053495947653\n            ],\n            [\n              -168.134765625,\n              62.471723714758724\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"506","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":808428,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Till, Alison B. 0000-0002-6640-6877 atill@usgs.gov","orcid":"https://orcid.org/0000-0002-6640-6877","contributorId":210053,"corporation":false,"usgs":true,"family":"Till","given":"Alison","email":"atill@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":808427,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Amato, Jeffrey M","contributorId":247820,"corporation":false,"usgs":false,"family":"Amato","given":"Jeffrey","email":"","middleInitial":"M","affiliations":[{"id":49664,"text":"Dept of Geolgical Sciences, New Mexico State Universtiy","active":true,"usgs":false}],"preferred":false,"id":808422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":808423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akinin, Vyacheslav V","contributorId":247821,"corporation":false,"usgs":false,"family":"Akinin","given":"Vyacheslav","email":"","middleInitial":"V","affiliations":[{"id":49665,"text":"North East Scientific Research Institute, Far East Branc, Russian Academy of Sciences, Magadan, Russia","active":true,"usgs":false}],"preferred":false,"id":808424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClelland, William C.","contributorId":194066,"corporation":false,"usgs":false,"family":"McClelland","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":808425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toro, Jaime","contributorId":247822,"corporation":false,"usgs":false,"family":"Toro","given":"Jaime","affiliations":[{"id":49666,"text":"Dept of Geology and Geography, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":808426,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186033,"text":"70186033 - 2014 - Rare Earths in 2013","interactions":[],"lastModifiedDate":"2017-03-31T10:06:01","indexId":"70186033","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Rare Earths in 2013","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"SME","usgsCitation":"Gambogi, J., 2014, Rare Earths in 2013: Mining Engineering, v. 66, no. 7, p. 35-35.","productDescription":"1 p.","startPage":"35","endPage":"35","ipdsId":"IP-056919","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":338910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338909,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=4961&page=35"}],"volume":"66","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58df6ac6e4b02ff32c6aea5b","contributors":{"authors":[{"text":"Gambogi, Joseph 0000-0002-5719-2280 jgambogi@usgs.gov","orcid":"https://orcid.org/0000-0002-5719-2280","contributorId":4424,"corporation":false,"usgs":true,"family":"Gambogi","given":"Joseph","email":"jgambogi@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":687413,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70114068,"text":"70114068 - 2014 - Spatially explicit habitat models for 28 fishes from the Upper Mississippi River System (AHAG 2.0)","interactions":[],"lastModifiedDate":"2014-07-21T13:03:13","indexId":"70114068","displayToPublicDate":"2014-06-20T12:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":44,"text":"Long Term Resource Monitoring Program Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2014-T002","title":"Spatially explicit habitat models for 28 fishes from the Upper Mississippi River System (AHAG 2.0)","docAbstract":"<p>Environmental management actions in the <a href=\"http://www.umesc.usgs.gov/umesc_about/about_umrs.html\" target=\"_blank\">Upper Mississippi River System</a> (UMRS) typically require pre-project assessments of predicted benefits under a range of project scenarios. The U.S. Army Corps of Engineers (USACE) now requires certified and peer-reviewed models to conduct these assessments. Previously, habitat benefits were estimated for fish communities in the UMRS using the Aquatic Habitat Appraisal Guide (AHAG v.1.0; AHAG from hereon). This spreadsheet-based model used a habitat suitability index (HSI) approach that drew heavily upon Habitat Evaluation Procedures (HEP; U.S. Fish and Wildlife Service, 1980) by the U.S. Fish and Wildlife Service (USFWS). The HSI approach requires developing species response curves for different environmental variables that seek to broadly represent habitat. The AHAG model uses species-specific response curves assembled from literature values, data from other ecosystems, or best professional judgment.</p>\n<br/>\n<p>A recent scientific review of the AHAG indicated that the model’s effectiveness is reduced by its dated approach to large river ecosystems, uncertainty regarding its data inputs and rationale for habitat-species response relationships, and lack of field validation (Abt Associates Inc., 2011). The reviewers made two major recommendations: (1) incorporate empirical data from the UMRS into defining the empirical response curves, and (2) conduct post-project biological evaluations to test pre-project benefits estimated by AHAG.</p>\n<br/>\n<p>Our objective was to address the first recommendation and generate updated response curves for AHAG using data from the Upper Mississippi River Restoration-Environmental Management Program (UMRR-EMP) Long Term Resource Monitoring Program (LTRMP) element. Fish community data have been collected by LTRMP (Gutreuter and others, 1995; Ratcliff and others, in press) for 20 years from 6 study reaches representing 1,930 kilometers of river and >140 species of fish. We modeled a subset of these data (28 different species; occurrences at sampling sites as observed in day electrofishing samples) using multiple logistic regression with presence/absence responses. Each species’ probability of occurrence, at each sample site, was modeled as a function of 17 environmental variables observed at each sample site by LTRMP standardized protocols. The modeling methods used (1) a forward-selection process to identify the most important predictors and their relative contributions to predictions; (2) partial methods on the predictor set to control variance inflation; and (3) diagnostics for LTRMP design elements that may influence model fits.</p>\n<br/>\n<p>Models were fit for 28 species, representing 3 habitat guilds (Lentic, Lotic, and Generalist). We intended to develop “systemic models” using data from all six LTRMP study reaches simultaneously; however, this proved impossible. Thus, we “regionalized” the models, creating two models for each species: “Upper Reach” models, using data from Pools 4, 8, and 13; and “Lower Reach” models, using data from Pool 26, the Open River Reach of the Mississippi River, and the La Grange reach of the Illinois River. A total of 56 models were attempted. For any given site-scale prediction, each model used data from the three LTRMP study reaches comprising the regional model to make predictions. For example, a site-scale prediction in Pool 8 was made using data from Pools 4, 8, and 13. This is the fundamental nature and trade-off of regionalizing these models for broad management application.</p>\n<br/>\n<p>Model fits were deemed “certifiably good” using the Hosmer and Lemeshow Goodness-of-Fit statistic (Hosmer and Lemeshow, 2000). This test post-partitions model predictions into 10 groups and conducts inferential tests on correspondences between observed and expected probability of occurrence across all partitions, under Chi-square distributional assumptions. This permits an inferential test of how well the models fit and a tool for reporting when they did not (and perhaps why). Our goal was to develop regionalized models, and to assess and describe circumstances when a good fit was not possible.</p>\n<br/>\n<p>Seven fish species composed the Lentic guild. Good fits were achieved for six Upper Reach models. In the Lower Reach, no model produced good fits for the Lentic guild. This was due to (1) lentic species being much less prominent in the Lower Reach study areas, and (2) those that do express greater prominence principally do so only in the La Grange reach of the Illinois River. Thus, developing Lower Reach models for Lentic species will require parsing La Grange from the other two Lower Reach study areas and fitting separate models. We did not do that as part of this study, but it could be done at a later time.</p>\n<br/>\n<p>Nine species comprised the Lotic guild. Good fits were achieved for seven Upper Reach models and six Lower Reach models. Four species had good fits for both regions (flathead catfish, blue sucker, sauger, and shorthead redhorse). Three species showed zoogeographic zonation, with a good model fit in one of the regions, but not in the region in which they were absent or rarely occurred (blue catfish, rock bass, and skipjack herring).</p>\n<br/>\n<p>Twelve species comprised the Generalist guild. Good fits were achieved for five Upper Reach models and eight Lower Reach models. Six species had good fits for both regions (brook silverside, emerald shiner, freshwater drum, logperch, longnose gar, and white bass). Two species showed zoogeographic zonation, with a good model fit in one of the regions, but not in the region in which they were absent or rarely occurred (red shiner and blackstripe topminnow).</p>\n<br/>\n<p>Poorly fit models were almost always due to the diagnostic variable “field station,” a surrogate for river mile. In these circumstances, the residuals for “field station” were non-randomly distributed and often strongly ordered. This indicates either fitting “pool scale” models for these species and regions, or explicitly model covariances between “field station” and the other predictors within the existing modeling framework. Further efforts on these models should seek to resolve these issues using one of these two approaches.</p>\n<br/>\n<p>In total, nine species, representing two of the three guilds (Lotic and Generalist), produced well-fit models for both regions. These nine species should comprise the basis for AHAG 2.0. Additional work, likely requiring downscaling of the regional models to pool-scale models, will be needed to incorporate additional species. Alternately, a regionalized AHAG could be comprised of those species, per region, that achieved well-fit models. The number of species and the composition of the regional species pools will differ among regions as a consequence. Each of these alternatives has both pros and cons, and managers are encouraged to consider them fully before further advancing this approach to modeling multi-species habitat suitability.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","collaboration":"A product of the <a href=\"http://www.umesc.usgs.gov/ltrmp.html\" target=\"_blank\">Long Term Resource Monitoring Program</a>, an element of the <a href=\"http://www.mvr.usace.army.mil/Missions/EnvironmentalProtectionandRestoration/UpperMississippiRiverRestoration.aspx\" target=\"_blank\">U.S. Army Corps of Engineers’ Upper Mississippi River Restoration-Environmental Management Program</a>","usgsCitation":"Ickes, B.S., Sauer, J., Richards, N., Bowler, M., and Schlifer, B., 2014, Spatially explicit habitat models for 28 fishes from the Upper Mississippi River System (AHAG 2.0) (First posted online June 20, 2014; Revised and reposted July 21, 2014, version 1.1): Long Term Resource Monitoring Program Technical Report 2014-T002, vi, 89 p.","productDescription":"vi, 89 p.","numberOfPages":"100","onlineOnly":"N","ipdsId":"IP-050554","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":290578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/70114068.jpg"},{"id":289011,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/mis/ltrmp2014-t002/"},{"id":290577,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/mis/ltrmp2014-t002/pdf/ltrmp2014-t002.pdf"}],"country":"United States","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,36.0 ], [ -97.24,49.38 ], [ -86.76,49.38 ], [ -86.76,36.0 ], [ -97.24,36.0 ] ] ] } } ] }","edition":"First posted online June 20, 2014; Revised and reposted July 21, 2014, version 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7399e4b0b290851090ab","contributors":{"authors":[{"text":"Ickes, Brian S.","contributorId":6812,"corporation":false,"usgs":true,"family":"Ickes","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":495248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, J.S.","contributorId":106455,"corporation":false,"usgs":true,"family":"Sauer","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":495252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richards, N.","contributorId":83844,"corporation":false,"usgs":true,"family":"Richards","given":"N.","email":"","affiliations":[],"preferred":false,"id":495249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowler, M.","contributorId":92177,"corporation":false,"usgs":true,"family":"Bowler","given":"M.","email":"","affiliations":[],"preferred":false,"id":495250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schlifer, B.","contributorId":103588,"corporation":false,"usgs":true,"family":"Schlifer","given":"B.","email":"","affiliations":[],"preferred":false,"id":495251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70112533,"text":"70112533 - 2014 - Strong ground motions generated by earthquakes on creeping faults","interactions":[],"lastModifiedDate":"2014-07-07T13:26:26","indexId":"70112533","displayToPublicDate":"2014-06-16T14:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Strong ground motions generated by earthquakes on creeping faults","docAbstract":"A tenet of earthquake science is that faults are locked in position until they abruptly slip during the sudden strain-relieving events that are earthquakes. Whereas it is expected that locked faults when they finally do slip will produce noticeable ground shaking, what is uncertain is how the ground shakes during earthquakes on creeping faults. Creeping faults are rare throughout much of the Earth's continental crust, but there is a group of them in the San Andreas fault system. Here we evaluate the strongest ground motions from the largest well-recorded earthquakes on creeping faults. We find that the peak ground motions generated by the creeping fault earthquakes are similar to the peak ground motions generated by earthquakes on locked faults. Our findings imply that buildings near creeping faults need to be designed to withstand the same level of shaking as those constructed near locked faults.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GL060228","usgsCitation":"Harris, R.A., and Abrahamson, N., 2014, Strong ground motions generated by earthquakes on creeping faults: Geophysical Research Letters, v. 41, no. 11, p. 3870-3875, https://doi.org/10.1002/2014GL060228.","productDescription":"6 p.","startPage":"3870","endPage":"3875","numberOfPages":"6","ipdsId":"IP-057099","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl060228","text":"Publisher Index Page"},{"id":288659,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288656,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014GL060228"}],"volume":"41","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-06-13","publicationStatus":"PW","scienceBaseUri":"53ae7844e4b0abf75cf2cf8e","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":494837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahamson, Norman A.","contributorId":45202,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman A.","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":494838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192979,"text":"70192979 - 2014 - Population trends of smallmouth bass in the upper Colorado River basin with an evaluation of removal effects","interactions":[],"lastModifiedDate":"2017-12-21T10:28:54","indexId":"70192979","displayToPublicDate":"2014-06-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"Project 161","title":"Population trends of smallmouth bass in the upper Colorado River basin with an evaluation of removal effects","docAbstract":"<p>Smallmouth bass <i>Micropterus dolomieu</i> were rare in the upper Colorado River basin until the early 1990’s when their abundance dramatically increased in the Yampa River sub-basin. Increased abundance was due primarily to colonization from Elkhead Reservoir, which was rapidly drawn down twice, first to make improvements to the dam (1992) and a second time for reservoir expansion (2005), and allowed escapement of resident bass to the river through an unscreened outlet. Elkhead Reservoir is located on Elkhead Creek, a tributary of the Yampa River. The rapid Elkhead Reservoir drawdown in 1992 was followed by a period of drought years with low, early runoff in the Yampa River sub-basin that benefitted smallmouth bass reproduction. This combination of factors allowed smallmouth bass to establish a self-sustaining population in the Yampa River. Subsequently, successful recruitment allowed smallmouth bass to disperse upstream and downstream in the Yampa River and eventually move into the downstream Green River. Smallmouth bass were also likely introduced, by unknown means, into the upper Colorado River and have since dispersed in this sub-basin. The rapid increase of smallmouth bass in the upper Colorado River basin overlapped with significant reductions in native fish populations in some locations. The threat to these native fishes initiated intensive mechanical removal of smallmouth bass by the Upper Colorado River Endangered Fish Recovery Program.</p><p>In general, three factors explain fluctuating patterns in smallmouth bass density in the upper Colorado River basin in the last decade: reductions due to electrofishing removal, bass recovery after exploitation due to recruitment and immigration, and changes due to environmental factors not related to electrofishing and other management actions. Our analyses indicated that smallmouth bass densities were substantially reduced in most years by 7 electrofishing removal efforts. Less often, but dramatically in some cases, environmental effects were also responsible for significant declines in smallmouth bass densities in some reaches. Abundant year classes of young smallmouth bass produced in low flow and warm years such as 2007 have potential to overwhelm removal efforts, and the year class persists for one or more years. Nonetheless, it appears that increased electrofishing removal efforts from 2007 to 2011 resulted in sustained reductions in density of smallmouth bass sub-adults and adults throughout the upper basin despite environmental conditions that favored smallmouth bass reproduction in some years (e.g. 2007 and 2009), subsequent recruitment into sub-adult and adult age classes, and movement of smallmouth bass which previously (prior to increases in electrofishing removal efforts) allowed densities to recover in some reaches.</p><p>We recommend that removal efforts continue in most areas of the upper basin but that the Recovery Program consider allocating effort based on population trends and suspected areas of highest smallmouth bass reproduction. For instance, reproduction, recruitment, and movement of smallmouth bass allowed densities to recover in some reaches, particularly Little Yampa Canyon. Smallmouth bass population recovery implies that areas such as Little Yampa Canyon itself or adjacent reaches (especially upstream), may provide important habitat for age-0 production. We recommend continued assessment of smallmouth bass populations in reaches where reproduction or age-1 nurseries are suspected, such as Little Yampa Canyon and the adjacent upstream reach. It may also be necessary to expand monitoring to areas surrounding suspected sources of smallmouth bass reproduction and increase electrofishing removal effort in these reaches.</p>","language":"English","publisher":"Upper Colorado River Endangered Fish Recovery Program","usgsCitation":"Breton, A., Winkelman, D.L., Hawkins, J.A., and Bestgen, K.R., 2014, Population trends of smallmouth bass in the upper Colorado River basin with an evaluation of removal effects, 95 p.","productDescription":"95 p.","ipdsId":"IP-054928","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350147,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.coloradoriverrecovery.org/documents-publications/technical-reports/nonnative-fish-management.html"}],"country":"United States","state":"Colorado, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.58935546875,\n              40.72228267283148\n            ],\n            [\n              -106.76513671875,\n              40.79717741518766\n            ],\n            [\n              -107.347412109375,\n              40.79717741518766\n            ],\n            [\n              -108.58337402343749,\n              40.622291783092706\n            ],\n            [\n              -109.566650390625,\n              40.37584377696013\n            ],\n            [\n              -109.918212890625,\n              40.271143686084194\n            ],\n            [\n              -110.379638671875,\n              40.04023218690451\n            ],\n            [\n              -110.577392578125,\n              39.614152077002664\n            ],\n            [\n              -110.643310546875,\n              39.20671884491848\n            ],\n            [\n              -110.4949951171875,\n              38.586820096127674\n            ],\n            [\n              -110.2972412109375,\n              38.21660403859855\n            ],\n            [\n              -110.1324462890625,\n              38.00049145082287\n            ],\n            [\n              -109.786376953125,\n              38.013476231041935\n            ],\n            [\n              -109.09423828125,\n              38.23386541556985\n            ],\n            [\n              -107.9681396484375,\n              38.989302551359515\n            ],\n            [\n              -107.07824707031249,\n              39.25352462727606\n            ],\n            [\n              -106.54541015625,\n              39.62261494094297\n            ],\n            [\n              -106.468505859375,\n              39.93922484079194\n            ],\n            [\n              -106.58935546875,\n              40.72228267283148\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61008de4b06e28e9c253e8","contributors":{"authors":[{"text":"Breton, André R.","contributorId":47682,"corporation":false,"usgs":false,"family":"Breton","given":"André R.","affiliations":[],"preferred":false,"id":725286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, John A.","contributorId":50076,"corporation":false,"usgs":true,"family":"Hawkins","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":725288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70112937,"text":"70112937 - 2014 - Using a network modularity analysis to inform management of a rare endemic plant in the northern Great Plains, USA","interactions":[],"lastModifiedDate":"2018-01-02T12:28:30","indexId":"70112937","displayToPublicDate":"2014-06-06T14:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using a network modularity analysis to inform management of a rare endemic plant in the northern Great Plains, USA","docAbstract":"<p>1.  Analyses of flower-visitor interaction networks allow application of community-level information to conservation problems, but management recommendations that ensue from such analyses are not well characterized. Results of modularity analyses, which detect groups of species (modules) that interact more with each other than with species outside their module, may be particularly applicable to management concerns.</p>\n<br>\n<p>2.  We conducted modularity analyses of networks surrounding a rare endemic annual plant, <i>Eriogonum visheri</i>, at Badlands National Park, USA, in 2010 and 2011. Plant species visited were determined by pollen on insect bodies and by flower species upon which insects were captured. Roles within modules (network hub, module hub, connector and peripheral, in decreasing order of network structural importance) were determined for each species.</p>\n<br>\n<p>3.  Relationships demonstrated by the modularity analysis, in concert with knowledge of pollen species carried by insects, allowed us to infer effects of two invasive species on <i>E. visheri</i>. Sharing a module increased risk of interspecific pollen transfer to <i>E. visheri</i>. Control of invasive <i>Salsola tragus</i>, which shared a module with <i>E. visheri</i>, is therefore a prudent management objective, but lack of control of invasive <i>Melilotus officinalis</i>, which occupied a different module, is unlikely to negatively affect pollination of <i>E. visheri</i>. <i>Eriogonum pauciflorum</i> may occupy a key position in this network, supporting insects from the <i>E. visheri</i> module when <i>E. visheri</i> is less abundant.</p>\n<br>\n<p>4.  Year-to-year variation in species' roles suggests management decisions must be based on observations over several years. Information on pollen deposition on stigmas would greatly strengthen inferences made from the modularity analysis.</p>\n<br>\n<p>5.  Synthesis and applications: Assessing the consequences of pollination, whether at the community or individual level, is inherently time-consuming. A trade-off exists: rather than an estimate of fitness effects, the network approach provides a broad understanding of the relationships among insect visitors and other plant species that may affect the focal rare plant. Knowledge of such relationships allows managers to detect, target and prioritize control of only the important subset of invasive species present and identify other species that may augment a rare species' population stability, such as <i>E. pauciflorum</i> in our study.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12273","usgsCitation":"Larson, D.L., Droege, S., Rabie, P.A., Larson, J.L., Devalez, J., Haar, M., and McDermott-Kubeczko, M., 2014, Using a network modularity analysis to inform management of a rare endemic plant in the northern Great Plains, USA: Journal of Applied Ecology, v. 51, no. 4, p. 1024-1032, https://doi.org/10.1111/1365-2664.12273.","productDescription":"9 p.","startPage":"1024","endPage":"1032","ipdsId":"IP-052981","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12273","text":"Publisher Index Page"},{"id":288828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288827,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12273"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.9,43.48 ], [ -102.9,43.92 ], [ -101.89,43.92 ], [ -101.89,43.48 ], [ -102.9,43.48 ] ] ] } } ] }","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-06-06","publicationStatus":"PW","scienceBaseUri":"53ae789de4b0abf75cf2daa8","chorus":{"doi":"10.1111/1365-2664.12273","url":"http://dx.doi.org/10.1111/1365-2664.12273","publisher":"Wiley-Blackwell","authors":"Larson Diane L., Droege Sam, Rabie Paul A., Larson Jennifer L., Devalez Jelle, Haar Milton, McDermott-Kubeczko Margaret","journalName":"Journal of Applied Ecology","publicationDate":"6/6/2014"},"contributors":{"authors":[{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":494950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Droege, Sam sdroege@usgs.gov","contributorId":3464,"corporation":false,"usgs":true,"family":"Droege","given":"Sam","email":"sdroege@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":494951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rabie, Paul A. 0000-0003-4364-2268","orcid":"https://orcid.org/0000-0003-4364-2268","contributorId":74328,"corporation":false,"usgs":true,"family":"Rabie","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":true,"id":494955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Jennifer L. 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":68144,"corporation":false,"usgs":true,"family":"Larson","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Devalez, Jelle","contributorId":24690,"corporation":false,"usgs":true,"family":"Devalez","given":"Jelle","email":"","affiliations":[],"preferred":false,"id":494953,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haar, Milton","contributorId":14302,"corporation":false,"usgs":true,"family":"Haar","given":"Milton","email":"","affiliations":[],"preferred":false,"id":494952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDermott-Kubeczko, Margaret","contributorId":91024,"corporation":false,"usgs":true,"family":"McDermott-Kubeczko","given":"Margaret","affiliations":[],"preferred":false,"id":494956,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70132329,"text":"70132329 - 2014 - A new clarification method to visualize biliary degeneration during liver metamorphosis in sea lamprey (<i>Petromyzon marinus</i>)","interactions":[],"lastModifiedDate":"2021-12-09T15:28:15.105111","indexId":"70132329","displayToPublicDate":"2014-06-06T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2498,"text":"Journal of Visualized Experiments","active":true,"publicationSubtype":{"id":10}},"title":"A new clarification method to visualize biliary degeneration during liver metamorphosis in sea lamprey (<i>Petromyzon marinus</i>)","docAbstract":"<p><span>Biliary atresia is a rare disease of infancy, with an estimated 1 in 15,000 frequency in the southeast United States, but more common in East Asian countries, with a reported frequency of 1 in 5,000 in Taiwan. Although much is known about the management of biliary atresia, its pathogenesis is still elusive. The sea lamprey (</span><i>Petromyzon marinus</i><span>) provides a unique opportunity to examine the mechanism and progression of biliary degeneration. Sea lamprey develop through three distinct life stages: larval, parasitic, and adult. During the transition from<span>&nbsp;</span></span>larvae<span><span>&nbsp;</span>to parasitic juvenile, sea lamprey undergo metamorphosis with dramatic reorganization and remodeling in external morphology and internal organs. In the liver, the entire biliary system is lost, including the gall bladder and the biliary tree. A newly-developed method called &ldquo;CLARITY&rdquo; was modified to clarify the entire liver and the junction with the intestine in metamorphic sea lamprey. The process of biliary degeneration was visualized and discerned during sea lamprey metamorphosis by using laser scanning confocal microscopy. This method provides a powerful tool to study biliary atresia in a unique animal model.</span></p>","language":"English","publisher":"JoVE","publisherLocation":"Cambridge, MA","doi":"10.3791/51648","usgsCitation":"Chung-Davidson, Y., Davidson, P.J., Scott, A.M., Walaszczyk, E.J., Brant, C.O., Buchinger, T., Johnson, N.S., and Li, W., 2014, A new clarification method to visualize biliary degeneration during liver metamorphosis in sea lamprey (<i>Petromyzon marinus</i>): Journal of Visualized Experiments, v. 88, e51648, https://doi.org/10.3791/51648.","productDescription":"e51648","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052484","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":472949,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3791/51648","text":"External Repository"},{"id":297315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","noUsgsAuthors":false,"publicationDate":"2014-06-06","publicationStatus":"PW","scienceBaseUri":"54dd2b1ee4b08de9379b3255","contributors":{"authors":[{"text":"Chung-Davidson, Yu-Wen","contributorId":126742,"corporation":false,"usgs":false,"family":"Chung-Davidson","given":"Yu-Wen","email":"","affiliations":[{"id":6589,"text":"Department of Fisheries & Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davidson, Peter J.","contributorId":126743,"corporation":false,"usgs":false,"family":"Davidson","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Anne M.","contributorId":126744,"corporation":false,"usgs":false,"family":"Scott","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walaszczyk, Erin J.","contributorId":126745,"corporation":false,"usgs":false,"family":"Walaszczyk","given":"Erin","email":"","middleInitial":"J.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brant, Cory O.","contributorId":126746,"corporation":false,"usgs":false,"family":"Brant","given":"Cory","email":"","middleInitial":"O.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buchinger, Tyler","contributorId":126747,"corporation":false,"usgs":false,"family":"Buchinger","given":"Tyler","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522779,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70122214,"text":"70122214 - 2014 - Channel catfish (Ictalurus punctatus) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens","interactions":[],"lastModifiedDate":"2018-09-18T16:19:28","indexId":"70122214","displayToPublicDate":"2014-06-01T12:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1644,"text":"Fish & Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Channel catfish (<i>Ictalurus punctatus</i>) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens","title":"Channel catfish (Ictalurus punctatus) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens","docAbstract":"<p>Estrogens are recognized as modulators of immune responses in mammals and teleosts. While it is known that the effects of estrogens are mediated via leukocyte-specific estrogen receptors (ERs) in humans and mice, leucocyte-specific estrogen receptor expression and the effects of estrogens on this cell population is less explored and poorly understood in teleosts. Here in, we verify that channel catfish (<i>Ictalurus punctaus</i>) leukocytes express ERα and ERβ2. Transcripts of these isoforms were detected in tissue-associated leukocyte populations by PCR, but ERβ2 was rarely detected in PBLs. Expression of these receptors was temporally regulated in PBLs following polyclonal activation by concanavalin A, lipopolysaccharide or alloantigen based on evaluation by quantitative and end-point PCR. Examination of long-term leukocyte cell lines demonstrated that these receptors are differentially expressed depending on leukocyte lineage and phenotype. Expression of ERs was also temporally dynamic in some leukocyte lineages and may reflect stage of cell maturity. Estrogens affect the responsiveness of channel catfish peripheral blood leukocytes (PBLs) to mitogens <i>in vitro</i>. Similarly, bactericidal activity and phorbol 12-myristate 13-acetate induced respiratory burst was modulated by 17β-estradiol. These actions were blocked by the pure ER antagonist ICI 182780 indicating that response is, in part, mediated via ERα. In summary, estrogen receptors are expressed in channel catfish leukocytes and participate in the regulation of the immune response. This is the first time leukocyte lineage expression has been reported in teleost cell lines.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fsi.2014.06.021","usgsCitation":"Iwanowicz, L., Stafford, J.L., Patiño, R., Bengten, E., Miller, N.W., and Blazer, V., 2014, Channel catfish (Ictalurus punctatus) leukocytes express estrogen receptor isoforms ERα and ERβ2 and are functionally modulated by estrogens: Fish & Shellfish Immunology, v. 40, no. 1, p. 109-119, https://doi.org/10.1016/j.fsi.2014.06.021.","productDescription":"11 p.","startPage":"109","endPage":"119","numberOfPages":"11","ipdsId":"IP-056590","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472960,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fsi.2014.06.021","text":"Publisher Index Page"},{"id":293032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293031,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fsi.2014.06.021"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9f48e4b0adaeea6c4df7","contributors":{"authors":[{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":499462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stafford, James L.","contributorId":20661,"corporation":false,"usgs":true,"family":"Stafford","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":499463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patiño, Reynaldo","contributorId":58359,"corporation":false,"usgs":true,"family":"Patiño","given":"Reynaldo","affiliations":[],"preferred":false,"id":499466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bengten, Eva","contributorId":53298,"corporation":false,"usgs":true,"family":"Bengten","given":"Eva","affiliations":[],"preferred":false,"id":499465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Norman W.","contributorId":20662,"corporation":false,"usgs":true,"family":"Miller","given":"Norman","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":499464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":499461,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187412,"text":"70187412 - 2014 - Vulnerability of age-0 pallid sturgeon <i>Scaphirhynchus albus</i> to predation; effects of predator type, turbidity, body size, and prey density","interactions":[],"lastModifiedDate":"2017-05-02T13:41:03","indexId":"70187412","displayToPublicDate":"2014-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of age-0 pallid sturgeon <i>Scaphirhynchus albus</i> to predation; effects of predator type, turbidity, body size, and prey density","docAbstract":"<p><span>Predation can play an important role in the recruitment dynamics of fishes with intensity regulated by behavioral (i.e., prey selectivity) and/or environmental conditions that may be especially important for rare or endangered fishes. We conducted laboratory experiments to quantify prey selection and capture efficiency by three predators employing distinct foraging strategies: pelagic piscivore (walleye </span><i class=\"EmphasisTypeItalic \">Sander vitreus</i><span>); benthic piscivore (flathead catfish </span><i class=\"EmphasisTypeItalic \">Pylodictis olivaris</i><span>) and generalist predator (smallmouth bass </span><i class=\"EmphasisTypeItalic \">Micropterus dolomieu</i><span>) foraging on two size classes of age-0 pallid sturgeon: large (75–100&nbsp;mm fork length [FL]) and small (40–50&nbsp;mm FL). Experiments at high (&gt; 70 nephalometric turbidity units [NTU]) and low (&lt; 5 NTU) turbidity for each predator were conducted with high and low densities of pallid sturgeon and contrasting densities of an alternative prey, fathead minnow </span><i class=\"EmphasisTypeItalic \">Pimephales promelas.</i><span> Predator behaviors (strikes, captures, and consumed prey) were also quantified for each prey type. Walleye and smallmouth bass negatively selected pallid sturgeon (Chesson’s α = 0.04–0.1) across all treatments, indicating low relative vulnerability to predation. Relative vulnerability to predation by flathead catfish was moderate for small pallid sturgeon (α = 0.44, neutral selection), but low for large pallid sturgeon (α = 0.11, negative selection). Turbidity (up to 100 NTU) did not affect pallid sturgeon vulnerability, even at low density of alternative prey. Age-0 pallid sturgeon were easily captured by all predators, but were rarely consumed, suggesting mechanisms other than predator capture efficiency govern sturgeon predation vulnerability.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-013-0166-y","usgsCitation":"French, W.E., Graeb, B.D., Chipps, S.R., and Klumb, R.A., 2014, Vulnerability of age-0 pallid sturgeon <i>Scaphirhynchus albus</i> to predation; effects of predator type, turbidity, body size, and prey density: Environmental Biology of Fishes, v. 97, no. 6, p. 635-646, https://doi.org/10.1007/s10641-013-0166-y.","productDescription":"12 p.","startPage":"635","endPage":"646","ipdsId":"IP-037579","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-09","publicationStatus":"PW","scienceBaseUri":"59099ab0e4b0fc4e44915808","contributors":{"authors":[{"text":"French, William E.","contributorId":97355,"corporation":false,"usgs":true,"family":"French","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graeb, Brian D. S.","contributorId":171851,"corporation":false,"usgs":false,"family":"Graeb","given":"Brian","email":"","middleInitial":"D. S.","affiliations":[{"id":26956,"text":"Departement of Natural Resource Management, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":693986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klumb, Robert A.","contributorId":86606,"corporation":false,"usgs":true,"family":"Klumb","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false},{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":693987,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70133416,"text":"70133416 - 2014 - Ecological change on California's Channel Islands from the Pleistocene to the Anthropocene","interactions":[],"lastModifiedDate":"2014-11-21T11:26:52","indexId":"70133416","displayToPublicDate":"2014-06-01T00:00:00","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":"Ecological change on California's Channel Islands from the Pleistocene to the Anthropocene","docAbstract":"<p>Historical ecology is becoming an important focus in conservation biology and offers a promising tool to help guide ecosystem management. Here, we integrate data from multiple disciplines to illuminate the past, present, and future of biodiversity on California's Channel Islands, an archipelago that has undergone a wide range of land-use and ecological changes. Our analysis spans approximately 20,000 years, from before human occupation and through Native American hunter&ndash;gatherers, commercial ranchers and fishers, the US military, and other land managers. We demonstrate how long-term, interdisciplinary research provides insight into conservation decisions, such as setting ecosystem restoration goals, preserving rare and endemic taxa, and reducing the impacts of climate change on natural and cultural resources. We illustrate the importance of historical perspectives for understanding modern patterns and ecological change and present an approach that can be applied generally in conservation management planning.</p>","language":"English","publisher":"American Institute of Biological Sciences","doi":"10.1093/biosci/biu094","usgsCitation":"Rick, T.C., Sillett, T., Ghalambor, C.K., Hofman, C.A., Ralls, K., Anderson, R., Boser, C.L., Braje, T.J., Cayan, D.R., Chesser, R., Collins, P.W., Erlandson, J.M., Faulkner, K.R., Fleischer, R.C., Funk, W.C., Galipeau, R., Huston, A., King, J., Laughrin, L.L., Maldonado, J., McEachern, K., Muhs, D.R., Newsome, S.D., Reeder-Myers, L., Still, C., and Morrison, S.A., 2014, Ecological change on California's Channel Islands from the Pleistocene to the Anthropocene: BioScience, https://doi.org/10.1093/biosci/biu094.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052751","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472972,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biu094","text":"Publisher Index Page"},{"id":296130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.50354003906249,\n              32.77341935497515\n            ],\n            [\n              -120.50354003906249,\n              34.098159345215535\n            ],\n            [\n              -118.29528808593751,\n              34.098159345215535\n            ],\n            [\n              -118.29528808593751,\n              32.77341935497515\n            ],\n            [\n              -120.50354003906249,\n              32.77341935497515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2014-07-11","publicationStatus":"PW","scienceBaseUri":"546c7606e4b0f4a3478a611c","contributors":{"authors":[{"text":"Rick, Torben C.","contributorId":127440,"corporation":false,"usgs":false,"family":"Rick","given":"Torben","email":"","middleInitial":"C.","affiliations":[{"id":6997,"text":"Department of Anthropology, Smithsonian Institution National Museum of Natural History (NMNH)","active":true,"usgs":false}],"preferred":false,"id":525162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sillett, T. Scott","contributorId":80788,"corporation":false,"usgs":false,"family":"Sillett","given":"T. Scott","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":525163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghalambor, Cameron K.","contributorId":93722,"corporation":false,"usgs":false,"family":"Ghalambor","given":"Cameron","email":"","middleInitial":"K.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":525164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofman, Courtney A.","contributorId":127441,"corporation":false,"usgs":false,"family":"Hofman","given":"Courtney","email":"","middleInitial":"A.","affiliations":[{"id":6997,"text":"Department of Anthropology, Smithsonian Institution National Museum of Natural History (NMNH)","active":true,"usgs":false}],"preferred":false,"id":525165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralls, Katherine","contributorId":37900,"corporation":false,"usgs":false,"family":"Ralls","given":"Katherine","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":525378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":525379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boser, Christina L.","contributorId":127476,"corporation":false,"usgs":false,"family":"Boser","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":525380,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Braje, Todd J.","contributorId":127477,"corporation":false,"usgs":false,"family":"Braje","given":"Todd","email":"","middleInitial":"J.","affiliations":[{"id":6996,"text":"Department of Anthropology, San Diego State University","active":true,"usgs":false}],"preferred":false,"id":525381,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":525382,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":525140,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Collins, Paul W.","contributorId":100793,"corporation":false,"usgs":false,"family":"Collins","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":7014,"text":"Department of Vertebrate Zoology, Santa Barbara Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":525383,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Erlandson, Jon M.","contributorId":68114,"corporation":false,"usgs":false,"family":"Erlandson","given":"Jon","email":"","middleInitial":"M.","affiliations":[{"id":7025,"text":"Museum of Natural and Cultural History, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":525384,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Faulkner, Kate R.","contributorId":127478,"corporation":false,"usgs":false,"family":"Faulkner","given":"Kate","email":"","middleInitial":"R.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":525385,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fleischer, Robert C.","contributorId":127479,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":525386,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":525387,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Galipeau, Russell","contributorId":46876,"corporation":false,"usgs":false,"family":"Galipeau","given":"Russell","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":525388,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Huston, Ann","contributorId":127480,"corporation":false,"usgs":false,"family":"Huston","given":"Ann","email":"","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":525389,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"King, Julie","contributorId":127481,"corporation":false,"usgs":false,"family":"King","given":"Julie","email":"","affiliations":[{"id":6992,"text":"Catalina Island Conservancy","active":true,"usgs":false}],"preferred":false,"id":525390,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Laughrin, Lyndal L.","contributorId":32456,"corporation":false,"usgs":false,"family":"Laughrin","given":"Lyndal","email":"","middleInitial":"L.","affiliations":[{"id":7030,"text":"Santa Cruz Island Reserve, University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":525391,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Maldonado, Jesus","contributorId":127482,"corporation":false,"usgs":false,"family":"Maldonado","given":"Jesus","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":525392,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"McEachern, Kathryn kathryn_mceachern@usgs.gov","contributorId":2411,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":525393,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":525394,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":525397,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Reeder-Myers, Leslie","contributorId":127483,"corporation":false,"usgs":false,"family":"Reeder-Myers","given":"Leslie","email":"","affiliations":[{"id":6997,"text":"Department of Anthropology, Smithsonian Institution National Museum of Natural History (NMNH)","active":true,"usgs":false}],"preferred":false,"id":525398,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Still, Christopher","contributorId":127485,"corporation":false,"usgs":false,"family":"Still","given":"Christopher","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":525399,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Morrison, Scott A.","contributorId":83780,"corporation":false,"usgs":false,"family":"Morrison","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":525400,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70107914,"text":"70107914 - 2014 - Landscape selection by piping plovers has implications for measuring habitat and population size","interactions":[],"lastModifiedDate":"2017-08-31T10:55:15","indexId":"70107914","displayToPublicDate":"2014-05-21T09:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape selection by piping plovers has implications for measuring habitat and population size","docAbstract":"How breeding birds distribute in relation to landscape-scale habitat features has important implications for conservation because those features may constrain habitat suitability. Furthermore, knowledge of these associations can help build models to improve area-wide demographic estimates or to develop a sampling stratification for research and monitoring. This is particularly important for rare species that have uneven distributions across vast areas, such as the federally listed piping plover (Charadrius melodus; hereafter plover). We examined how remotely-sensed landscape features influenced the distribution of breeding plover pairs among 2-km shoreline segments during 2006–2009 at Lake Sakakawea in North Dakota, USA. We found strong associations between remotely-sensed landscape features and plover abundance and distribution (R<sup>2</sup> = 0.65). Plovers were nearly absent from segments with bluffs (>25 m elevation increase within 250 m of shoreline). Relative plover density (pairs/ha) was markedly greater on islands (4.84 ± 1.22 SE) than on mainlands (0.85 ± 0.17 SE). Pair numbers increased with abundance of nesting habitat (unvegetated-flat areas β^=0.28±0.08SE ). On islands, pair numbers also increased with the relative proportion of the total area that was habitat ( β^=3.27±0.46SE ). Our model could be adapted to estimate the breeding population of plovers or to make predictions that provide a basis for stratification and design of future surveys. Knowledge of landscape features, such as bluffs, that exclude use by birds refines habitat suitability and facilitates more accurate estimates of habitat and population abundance, by decreasing the size of the sampling universe. Furthermore, techniques demonstrated here are applicable to other vast areas where birds breed in sparse or uneven densities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10980-014-0041-z","usgsCitation":"Anteau, M.J., Shaffer, T.L., Wiltermuth, M.T., and Sherfy, M.H., 2014, Landscape selection by piping plovers has implications for measuring habitat and population size: Landscape Ecology, v. 29, no. 6, p. 1033-1044, https://doi.org/10.1007/s10980-014-0041-z.","productDescription":"12 p.","startPage":"1033","endPage":"1044","ipdsId":"IP-039411","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":287424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287423,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-014-0041-z"}],"country":"United States","state":"North Dakota","otherGeospatial":"Lake Sakakawea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5771,47.4491 ], [ -103.5771,48.1718 ], [ -101.2537,48.1718 ], [ -101.2537,47.4491 ], [ -103.5771,47.4491 ] ] ] } } ] }","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-05-16","publicationStatus":"PW","scienceBaseUri":"537dbcd0e4b05ed6215c0789","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":493924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493923,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70107318,"text":"sir20145070 - 2014 - Impacts of white-tailed deer on red trillium (<i>Trillium recurvatum</i>): defining a threshold for deer browsing pressure at the Indiana Dunes National Lakeshore","interactions":[],"lastModifiedDate":"2014-05-20T14:53:56","indexId":"sir20145070","displayToPublicDate":"2014-05-20T14:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5070","title":"Impacts of white-tailed deer on red trillium (<i>Trillium recurvatum</i>): defining a threshold for deer browsing pressure at the Indiana Dunes National Lakeshore","docAbstract":"<p>Overabundant white-tailed deer (<i>Odocoileus virginianus</i>) have been a concern for land managers in eastern North America because of their impacts on native forest ecosystems. Managers have sought native plant species to serve as phytoindicators of deer impacts to supplement deer surveys. We analyzed experimental data about red trillium (<i>Trillium recurvatum</i>), large flowered trillium (<i>T. grandiflorum</i>), nodding trillium (<i>T. cernuum</i>), and declined trillium (<i>T. flexipes</i>) growth in paired exclosure (fenced) plots and control (unfenced) plots from 2002 to 2010 at the Indiana Dunes National Lakeshore. The latter two species lacked replication, so statistical analysis was not possible. All red trillium plants were surveyed for height-to-leaf, effects of browsing, and presence of flowers. </p>\n<br/>\n<p>Data from individuals in 2009 demonstrated a sigmoidal relationship between height-to-leaf and probability of flowering. The relationship on moraine soils was shifted to taller plants compared to those on sand substrates, with respectively 50 percent flowering at 18 and 16 cm and 33 percent flowering at 16 and 14 cm height-to-leaf. On a plot basis, the proportion of plants flowering was influenced by height to leaf, duration of protection, and deviation in rainfall. The proportion of plants flowering increased ninefold in exclosures (28 percent) compared to control plots (3 percent) over the 8 years of protection. The mean height-to-leaf was a function of the interaction between treatment and duration, as well as red trillium density. Changes in height-to-leaf in control plots from year to year were significantly influenced by an interaction between change in deer density and change in snowfall depth. There was a significant negative correlation between change in deer density and snowfall depth. Plants in the exclosures increased in height at a rate of 1.5 cm yr<sup>−1</sup> whereas control plants decreased in height by 0.9 cm yr<sup>−1</sup>. In all, 78 percent of the control plots lacked flowering individuals over the 9 years of study, indicating that red trillium is being negatively affected by deer throughout the East Unit of the park. Of the five deer management zones studied, only one showed pre-impact height-to-leaf and flowering percentages in control plots that then declined after 2005. </p>\n<br/>\n<p>The results of this study demonstrate that <i>Trillium</i> species growing in the lands of the Indiana Dunes National Lakeshore are being suppressed reproductively by deer browsing. Specifically, we demonstrate, for the first time, the utility of using red trillium (<i>Trillium recurvatum</i>) height-to-leaf and percentage of flowering as indicators of the impacts of deer browsing. Application of the recommended thresholds demonstrates their utility in adopting red trillium as a phytoindicator of deer impact. Responses of plants to protection from deer suggest that deer culling might be necessary for 6 or more years for red trillium populations and rare trillium species to recover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145070","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Pavlovic, N.B., Leicht-Young, S.A., and Grundel, R., 2014, Impacts of white-tailed deer on red trillium (<i>Trillium recurvatum</i>): defining a threshold for deer browsing pressure at the Indiana Dunes National Lakeshore: U.S. Geological Survey Scientific Investigations Report 2014-5070, vi, 37 p., https://doi.org/10.3133/sir20145070.","productDescription":"vi, 37 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-051273","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":287318,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5070/"},{"id":287319,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5070/pdf/sir2014-5070.pdf"},{"id":287320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145070.jpg"}],"datum":"North American Datum 1983","country":"United States","state":"Indiana","otherGeospatial":"Indiana Dunes National Lakeshore","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.349674,41.44961 ], [ -87.349674,41.751016 ], [ -86.800616,41.751016 ], [ -86.800616,41.44961 ], [ -87.349674,41.44961 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c6b51e4b00e1e1a48482a","contributors":{"authors":[{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leicht-Young, Stacey A.","contributorId":80506,"corporation":false,"usgs":false,"family":"Leicht-Young","given":"Stacey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70103632,"text":"70103632 - 2014 - Water level response in back-barrier bays unchanged following Hurricane Sandy","interactions":[],"lastModifiedDate":"2014-06-06T10:50:29","indexId":"70103632","displayToPublicDate":"2014-05-06T10:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Water level response in back-barrier bays unchanged following Hurricane Sandy","docAbstract":"On 28–30 October 2012, Hurricane Sandy caused severe flooding along portions of the northeast coast of the United States and cut new inlets across barrier islands in New Jersey and New York. About 30% of the 20 highest daily maximum water levels observed between 2007 and 2013 in Barnegat and Great South Bay occurred in 5 months following Hurricane Sandy. Hurricane Sandy provided a rare opportunity to determine whether extreme events alter systems protected by barrier islands, leaving the mainland more vulnerable to flooding. Comparisons between water levels before and after Hurricane Sandy at bay stations and an offshore station show no significant differences in the transfer of sea level fluctuations from offshore to either bay following Sandy. The post-Hurricane Sandy bay high water levels reflected offshore sea levels caused by winter storms, not by barrier island breaching or geomorphic changes within the bays.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1002/2014GL059957","usgsCitation":"Aretxabaleta, A., Butman, B., and Ganju, N., 2014, Water level response in back-barrier bays unchanged following Hurricane Sandy: Geophysical Research Letters, v. 41, no. 9, p. 3163-3171, https://doi.org/10.1002/2014GL059957.","productDescription":"9 p.","startPage":"3163","endPage":"3171","numberOfPages":"9","ipdsId":"IP-055885","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059957","text":"Publisher Index Page"},{"id":286947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286946,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014GL059957"}],"country":"United States","state":"New Jersey;New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.0,38.0 ], [ -76.0,42.0 ], [ -70.0,42.0 ], [ -70.0,38.0 ], [ -76.0,38.0 ] ] ] } } ] }","volume":"41","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-05-02","publicationStatus":"PW","scienceBaseUri":"536b55fae4b0a51a87c4b192","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo L.","contributorId":41311,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo L.","affiliations":[],"preferred":false,"id":493421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":493422,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187363,"text":"70187363 - 2014 - Using cumulative diet data and stable isotope analysis to determine trophic position of walleye <i>Sander vitreus</i> in a large, complex system","interactions":[],"lastModifiedDate":"2017-05-01T10:12:20","indexId":"70187363","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using cumulative diet data and stable isotope analysis to determine trophic position of walleye <i>Sander vitreus</i> in a large, complex system","docAbstract":"<p><span>Diet studies have traditionally been used to determine prey use and food web dynamics, while stable isotope analysis provides for a time-integrated approach to evaluate food web dynamics and characterize energy flow in aquatic systems. Direct comparison of the two techniques is rare and difficult to conduct in large, species rich systems. We compared changes in walleye </span><i>Sander vitreus</i><span> trophic position (TP) derived from paired diet content and stable isotope analysis. Individual diet-derived TP estimates were dissimilar to stable isotope-derived TP estimates. However, cumulative diet-derived TP estimates integrated from May 2001 to May 2002 corresponded to May 2002 isotope-derived estimates of TP. Average walleye TP estimates from the spring season appear representative of feeding throughout the entire previous year.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2014.910713","usgsCitation":"Fincel, M.J., James, D.A., Chipps, S.R., and Davis, B.A., 2014, Using cumulative diet data and stable isotope analysis to determine trophic position of walleye <i>Sander vitreus</i> in a large, complex system: Journal of Freshwater Ecology, v. 29, no. 3, p. 441-447, https://doi.org/10.1080/02705060.2014.910713.","productDescription":"7 p.","startPage":"441","endPage":"447","ipdsId":"IP-055817","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd80","contributors":{"authors":[{"text":"Fincel, Mark J.","contributorId":171853,"corporation":false,"usgs":false,"family":"Fincel","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":26957,"text":"South Dakota Game, Fish and Parks, Ft. Pierre, SD","active":true,"usgs":false}],"preferred":false,"id":693631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, Daniel A.","contributorId":41737,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Blake A.","contributorId":191618,"corporation":false,"usgs":false,"family":"Davis","given":"Blake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154962,"text":"70154962 - 2014 - Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat  in southwest Louisiana, USA","interactions":[],"lastModifiedDate":"2022-11-14T17:58:10.49947","indexId":"70154962","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Suitability of coastal marshes as Whooping Crane (<i>Grus americana</i>) foraging habitat  in southwest Louisiana, USA","title":"Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat  in southwest Louisiana, USA","docAbstract":"<p><span>Foraging habitat conditions (i.e., water depth, prey biomass, digestible energy density) can be a significant predictor of foraging habitat selection by wading birds. Potential foraging habitats of Whooping Cranes (</span><i>Grus americana</i><span>) using marshes include ponds and emergent marsh, but the potential prey and energy availability in these habitat types have rarely been studied. In this study, we estimated daily digestible energy density for Whooping Cranes in different marsh and microhabitat types (i.e., pond, flooded emergent marsh). Also, indicator metrics of foraging habitat suitability for Whooping Cranes were developed based on seasonal water depth, prey biomass, and digestible energy density. Seasonal water depth (cm), prey biomass (g wet weight m</span><sup>-2</sup><span>), and digestible energy density (kcal g</span><sup>-1</sup><span>m</span><sup>-2</sup><span>) ranged from 0.0 to 50.2 &plusmn; 2.8, 0.0 to 44.8 &plusmn; 22.3, and 0.0 to 31.0 &plusmn; 15.3, respectively. With the exception of freshwater emergent marsh in summer, all available habitats were capable of supporting one Whooping Crane per 0.1 ha per day. All habitat types in the marshes had relatively higher suitability in spring and summer than in fall and winter. Our study indicates that based on general energy availability, freshwater marshes in the region can support Whooping Cranes in a relatively small area, particularly in spring and summer. In actuality, the spatial density of ponds, the flood depth of the emergent marsh, and the habitat conditions (e.g., vegetation density) between adjacent suitable habitats will constrain suitable habitat and Whooping Crane numbers.</span></p>","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.037.0304","usgsCitation":"Kang, S., and King, S.L., 2014, Suitability of coastal marshes as Whooping Crane (Grus americana) foraging habitat  in southwest Louisiana, USA: Waterbirds, v. 37, no. 3, p. 254-263, https://doi.org/10.1675/063.037.0304.","productDescription":"10 p.","startPage":"254","endPage":"263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042070","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Southwest Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.05313206156985,\n              29.534589496091698\n            ],\n            [\n              -92.07833559620173,\n              30.179403281291954\n            ],\n            [\n              -93.64095474339344,\n              30.22659786357704\n            ],\n            [\n              -93.7585712383432,\n              29.709865498636688\n            ],\n            [\n              -92.3114682915488,\n              29.50534721227139\n            ],\n            [\n              -92.05313206156985,\n              29.534589496091698\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305bae4b0518e35468d28","contributors":{"authors":[{"text":"Kang, Sung-Ryong","contributorId":140927,"corporation":false,"usgs":false,"family":"Kang","given":"Sung-Ryong","email":"","affiliations":[],"preferred":false,"id":568300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102388,"text":"70102388 - 2014 - Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure","interactions":[],"lastModifiedDate":"2018-09-18T16:47:35","indexId":"70102388","displayToPublicDate":"2014-04-22T10:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure","docAbstract":"The U.S. Geological Survey is conducting a combined pre/post-closure assessment at a long-term wastewater treatment plant (WWTP) site at Fort Gordon near Augusta, Georgia. Here, we assess select endocrine-active chemicals and benthic macroinvertebrate community structure prior to closure of the WWTP. Substantial downstream transport and limited instream attenuation of endocrine-disrupting chemicals (EDCs) was observed in Spirit Creek over a 2.2-km stream segment downstream of the WWTP outfall. A modest decline (less than 20% in all cases) in surface water detections was observed with increasing distance downstream of the WWTP and attributed to partitioning to the sediment. Estrogens detected in surface water in this study included estrone (E1), 17β-estradiol (E2), and estriol (E3). The 5 ng/l and higher mean estrogen concentrations observed in downstream locations indicated that the potential for endocrine disruption was substantial. Concentrations of alkylphenol ethoxylate (APE) metabolite EDCs also remained statistically elevated above levels observed at the upstream control site. Wastewater-derived pharmaceutical and APE metabolites were detected in the outflow of Spirit Lake, indicating the potential for EDC transport to aquatic ecosystems downstream of Fort Gordon. The results indicate substantial EDC occurrence, downstream transport, and persistence under continuous supply conditions and provide a baseline for a rare evaluation of ecosystem response to WWTP closure.","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12165","usgsCitation":"Bradley, P.M., and Journey, C.A., 2014, Assessment of endocrine-disrupting chemicals attenuation in a coastal plain stream prior to wastewater treatment plant closure: Journal of the American Water Resources Association, v. 50, no. 2, p. 388-400, https://doi.org/10.1111/jawr.12165.","productDescription":"13 p.","startPage":"388","endPage":"400","numberOfPages":"13","ipdsId":"IP-052310","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":286501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286490,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12165"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Georgia","city":"Augusta","otherGeospatial":"Fort Gordon;Spirit Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.400191,33.248398 ], [ -82.400191,33.501428 ], [ -81.997937,33.501428 ], [ -81.997937,33.248398 ], [ -82.400191,33.248398 ] ] ] } } ] }","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578152e4b0938066bc8173","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":492982,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102296,"text":"70102296 - 2014 - Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean","interactions":[],"lastModifiedDate":"2014-04-29T09:25:49","indexId":"70102296","displayToPublicDate":"2014-04-22T10:01:00","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":"Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean","docAbstract":"Anthropogenic semivolatile organic compounds (SOCs) that persist in the environment, bioaccumulate, are toxic at low concentrations, and undergo long-range atmospheric transport (LRT) were identified and quantified in the atmosphere of a Saharan dust source region (Mali) and during Saharan dust incursions at downwind sites in the eastern Caribbean (U.S. Virgin Islands, Trinidad and Tobago) and Cape Verde. More organochlorine and organophosphate pesticides (OCPPs), polycyclic aromatic hydrocarbons (PAHs), and polychlorinated biphenyl (PCB) congeners were detected in the Saharan dust region than at downwind sites. Seven of the 13 OCPPs detected occurred at all sites: chlordanes, chlorpyrifos, dacthal, dieldrin, endosulfans, hexachlorobenzene (HCB), and trifluralin. Total SOCs ranged from 1.9–126 ng/m<sup>3</sup> (mean = 25 ± 34) at source and 0.05–0.71 ng/m<sup>3</sup> (mean = 0.24 ± 0.18) at downwind sites during dust conditions. Most SOC concentrations were 1–3 orders of magnitude higher in source than downwind sites. A Saharan source was confirmed for sampled air masses at downwind sites based on dust particle elemental composition and rare earth ratios, atmospheric back trajectory models, and field observations. SOC concentrations were considerably below existing occupational and/or regulatory limits; however, few regulatory limits exist for these persistent organic compounds. Long-term effects of chronic exposure to low concentrations of SOCs are unknown, as are possible additive or synergistic effects of mixtures of SOCs, biologically active trace metals, and mineral dust particles transported together in Saharan dust air masses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.076","usgsCitation":"Garrison, V.H., Majewski, M.S., Foreman, W., Genualdi, S.A., Mohammed, A., and Massey Simonich, S., 2014, Persistent organic contaminants in Saharan dust air masses in West Africa, Cape Verde and the eastern Caribbean: Science of the Total Environment, v. 468-469, p. 530-543, https://doi.org/10.1016/j.scitotenv.2013.08.076.","productDescription":"14 p.","startPage":"530","endPage":"543","numberOfPages":"14","ipdsId":"IP-049426","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":286491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286462,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.076"}],"country":"Cape Verde;Mali;Trinidad And Tobago;U.S. Virgin Islands","otherGeospatial":"Caribbean;Sahara","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.44,-13.18 ], [ -99.44,42.63 ], [ 15.38,42.63 ], [ 15.38,-13.18 ], [ -99.44,-13.18 ] ] ] } } ] }","volume":"468-469","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53578157e4b0938066bc819b","chorus":{"doi":"10.1016/j.scitotenv.2013.08.076","url":"http://dx.doi.org/10.1016/j.scitotenv.2013.08.076","publisher":"Elsevier BV","authors":"Garrison V.H., Majewski M.S., Foreman W.T., Genualdi S.A., Mohammed A., Massey Simonich S.L.","journalName":"Science of The Total Environment","publicationDate":"1/2014"},"contributors":{"authors":[{"text":"Garrison, Virginia H. ginger_garrison@usgs.gov","contributorId":2386,"corporation":false,"usgs":true,"family":"Garrison","given":"Virginia","email":"ginger_garrison@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":492912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Majewski, Michael S. majewski@usgs.gov","contributorId":440,"corporation":false,"usgs":true,"family":"Majewski","given":"Michael","email":"majewski@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":492911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genualdi, Susan A.","contributorId":94024,"corporation":false,"usgs":true,"family":"Genualdi","given":"Susan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mohammed, Azad","contributorId":37873,"corporation":false,"usgs":true,"family":"Mohammed","given":"Azad","email":"","affiliations":[],"preferred":false,"id":492914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Massey Simonich, Stacy L.","contributorId":30147,"corporation":false,"usgs":true,"family":"Massey Simonich","given":"Stacy L.","affiliations":[],"preferred":false,"id":492913,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}