{"pageNumber":"1325","pageRowStart":"33100","pageSize":"25","recordCount":184769,"records":[{"id":70135049,"text":"70135049 - 2014 - Molecular-level characterization of crude oil compounds combining reversed-phase high-performance liquid chromatography with off-line high-resolution mass spectrometry","interactions":[],"lastModifiedDate":"2014-12-09T10:32:18","indexId":"70135049","displayToPublicDate":"2014-12-01T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Molecular-level characterization of crude oil compounds combining reversed-phase high-performance liquid chromatography with off-line high-resolution mass spectrometry","docAbstract":"

A reversed-phase separation technique was developed in a previous study (Loegel et al., 2012) and successfully applied to the de-asphalted fraction of crude oil. However, to the best of our knowledge, the molecular-level characterization of oil fractions obtained by reversed-phase high-performance liquid chromatography (HPLC) coupled with high-resolution mass spectrometry (MS) has not yet been reported. A detailed characterization of the oil fractions prepared by reversed-phase HPLC was performed in this study. HPLC fractionation was carried out on conventional crude oil and an oil shale pyrolysate. The analyses of the fractions showed that the carbon number of alkyl chains and the double bond equivalent (DBE) value were the major factors determining elution order. The compounds with larger DBE (presumably more condensed aromatic structures) and smaller carbon number (presumably compounds with short side chains) were eluted earlier but those compounds with lower DBE values (presumably less aromatic structures) and higher carbon number (presumably compounds with longer alkyl chains) eluted later in the chromatograms. This separation behavior is in good agreement with that expected from the principles of reversed-phase separation. The data presented in this study show that reversed-phase chromatography is effective in separating crude oil compounds and can be combined with ultrahigh-resolution MS data to better understand natural oils and oil shale pyrolysates.

","language":"English","publisher":"Elsevier","publisherLocation":"London, England","doi":"10.1016/j.fuel.2014.10.019","usgsCitation":"Sim, A., Cho, Y., Kim, D., Witt, M., Birdwell, J.E., Kim, B., and Kim, S., 2014, Molecular-level characterization of crude oil compounds combining reversed-phase high-performance liquid chromatography with off-line high-resolution mass spectrometry: Fuel, v. 140, no. 15, p. 717-723, https://doi.org/10.1016/j.fuel.2014.10.019.","productDescription":"7 p.","startPage":"717","endPage":"723","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057008","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296483,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.fuel.2014.10.019"}],"volume":"140","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54882b58e4b02acb4f0c8c3f","contributors":{"authors":[{"text":"Sim, Arum","contributorId":127784,"corporation":false,"usgs":false,"family":"Sim","given":"Arum","email":"","affiliations":[{"id":7153,"text":"Kyungpook National University, Department of Chemistry, Daegu, South Korea","active":true,"usgs":false}],"preferred":false,"id":526742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cho, Yunju","contributorId":127785,"corporation":false,"usgs":false,"family":"Cho","given":"Yunju","email":"","affiliations":[{"id":7153,"text":"Kyungpook National University, Department of Chemistry, Daegu, South Korea","active":true,"usgs":false}],"preferred":false,"id":526743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Daae","contributorId":127786,"corporation":false,"usgs":false,"family":"Kim","given":"Daae","email":"","affiliations":[{"id":7153,"text":"Kyungpook National University, Department of Chemistry, Daegu, South Korea","active":true,"usgs":false}],"preferred":false,"id":526744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witt, Matthias","contributorId":41719,"corporation":false,"usgs":true,"family":"Witt","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":526745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":526741,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Byung Ju","contributorId":127787,"corporation":false,"usgs":false,"family":"Kim","given":"Byung Ju","affiliations":[{"id":7154,"text":"Korea Research Institute of Standards and Science, Division of Organic Analysis, Daejeon, South Korea","active":true,"usgs":false}],"preferred":false,"id":526746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kim, Sunghwan","contributorId":108376,"corporation":false,"usgs":true,"family":"Kim","given":"Sunghwan","affiliations":[],"preferred":false,"id":526747,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70135048,"text":"70135048 - 2014 - Simultaneous Gaussian and exponential inversion for improved analysis of shales by NMR relaxometry","interactions":[],"lastModifiedDate":"2014-12-09T10:36:48","indexId":"70135048","displayToPublicDate":"2014-12-01T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2372,"text":"Journal of Magnetic Resonance","active":true,"publicationSubtype":{"id":10}},"title":"Simultaneous Gaussian and exponential inversion for improved analysis of shales by NMR relaxometry","docAbstract":"

Nuclear magnetic resonance (NMR) relaxometry is commonly used to provide lithology-independent porosity and pore-size estimates for petroleum resource evaluation based on fluid-phase signals. However in shales, substantial hydrogen content is associated with solid and fluid signals and both may be detected. Depending on the motional regime, the signal from the solids may be best described using either exponential or Gaussian decay functions. When the inverse Laplace transform, the standard method for analysis of NMR relaxometry results, is applied to data containing Gaussian decays, this can lead to physically unrealistic responses such as signal or porosity overcall and relaxation times that are too short to be determined using the applied instrument settings. We apply a new simultaneous Gaussian-Exponential (SGE) inversion method to simulated data and measured results obtained on a variety of oil shale samples. The SGE inversion produces more physically realistic results than the inverse Laplace transform and displays more consistent relaxation behavior at high magnetic field strengths. Residuals for the SGE inversion are consistently lower than for the inverse Laplace method and signal overcall at short T2 times is mitigated. Beyond geological samples, the method can also be applied in other fields where the sample relaxation consists of both Gaussian and exponential decays, for example in material, medical and food sciences.

","language":"English","publisher":"Academic Press","publisherLocation":"San Diego, CA","doi":"10.1016/j.jmr.2014.10.015","usgsCitation":"Washburn, K.E., Anderssen, E., Vogt, S.J., Seymour, J.D., Birdwell, J.E., Kirkland, C.M., and Codd, S.L., 2014, Simultaneous Gaussian and exponential inversion for improved analysis of shales by NMR relaxometry: Journal of Magnetic Resonance, v. 250, p. 7-16, https://doi.org/10.1016/j.jmr.2014.10.015.","productDescription":"10 p.","startPage":"7","endPage":"16","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059571","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":472606,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/11536","text":"External Repository"},{"id":296516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296482,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jmr.2014.10.015"}],"volume":"250","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54882b62e4b02acb4f0c8c51","contributors":{"authors":[{"text":"Washburn, Kathryn E.","contributorId":76644,"corporation":false,"usgs":false,"family":"Washburn","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[{"id":7152,"text":"Weatherford International","active":true,"usgs":false}],"preferred":false,"id":526735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderssen, Endre","contributorId":127783,"corporation":false,"usgs":false,"family":"Anderssen","given":"Endre","email":"","affiliations":[{"id":7152,"text":"Weatherford International","active":true,"usgs":false}],"preferred":false,"id":526736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogt, Sarah J.","contributorId":86267,"corporation":false,"usgs":true,"family":"Vogt","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":526737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seymour, Joseph D.","contributorId":59353,"corporation":false,"usgs":true,"family":"Seymour","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":526738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":526734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirkland, Catherine M.","contributorId":67414,"corporation":false,"usgs":true,"family":"Kirkland","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Codd, Sarah L.","contributorId":70291,"corporation":false,"usgs":true,"family":"Codd","given":"Sarah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":526740,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70136064,"text":"70136064 - 2014 - Prey choice and habitat use drive sea otter pathogen exposure in a resource-limited coastal system","interactions":[],"lastModifiedDate":"2017-03-07T17:29:09","indexId":"70136064","displayToPublicDate":"2014-12-01T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Prey choice and habitat use drive sea otter pathogen exposure in a resource-limited coastal system","docAbstract":"

The processes promoting disease in wild animal populations are highly complex, yet identifying these processes is critically important for conservation when disease is limiting a population. By combining field studies with epidemiologic tools, we evaluated the relationship between key factors impeding southern sea otter (Enhydra lutris nereis) population growth: disease and resource limitation. This threatened population has struggled to recover despite protection, so we followed radio-tagged sea otters and evaluated infection with 2 disease-causing protozoal pathogens, Toxoplasma gondii and Sarcocystis neurona, to reveal risks that increased the likelihood of pathogen exposure. We identified patterns of pathogen infection that are linked to individual animal behavior, prey choice, and habitat use. We detected a high-risk spatial cluster of S. neurona infections in otters with home ranges in southern Monterey Bay and a coastal segment near San Simeon and Cambria where otters had high levels of infection with T. gondii. We found that otters feeding on abalone, which is the preferred prey in a resource-abundant marine ecosystem, had a very low risk of infection with either pathogen, whereas otters consuming small marine snails were more likely to be infected with T. gondii. Individual dietary specialization in sea otters is an adaptive mechanism for coping with limited food resources along central coastal California. High levels of infection with protozoal pathogens may be an adverse consequence of dietary specialization in this threatened species, with both depleted resources and disease working synergistically to limit recovery.

","language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.0806449106","usgsCitation":"Johnson, C., Tinker, M.T., Estes, J.A., Conrad, P., Staedler, M., Miller, M.A., Jessup, D., and Mazet, J.A., 2014, Prey choice and habitat use drive sea otter pathogen exposure in a resource-limited coastal system: Proceedings of the National Academy of Sciences of the United States of America, v. 106, no. 7, p. 2242-2247, https://doi.org/10.1073/pnas.0806449106.","productDescription":"6 p.","startPage":"2242","endPage":"2247","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009867","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472607,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1073/pnas.0806449106","text":"External Repository"},{"id":296861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.32177734375,\n 34.31621838080741\n ],\n [\n -119.72900390625001,\n 34.31621838080741\n ],\n [\n -119.72900390625001,\n 37.15156050223665\n ],\n [\n -122.32177734375,\n 37.15156050223665\n ],\n [\n -122.32177734375,\n 34.31621838080741\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"7","noUsgsAuthors":false,"publicationDate":"2009-02-17","publicationStatus":"PW","scienceBaseUri":"54dd2aa4e4b08de9379b3161","contributors":{"authors":[{"text":"Johnson, Christine K.","contributorId":23771,"corporation":false,"usgs":false,"family":"Johnson","given":"Christine K.","affiliations":[],"preferred":false,"id":537082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":537081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Estes, James A. jim_estes@usgs.gov","contributorId":53325,"corporation":false,"usgs":true,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":537083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, Patricia A.","contributorId":88289,"corporation":false,"usgs":true,"family":"Conrad","given":"Patricia A.","affiliations":[],"preferred":false,"id":537084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staedler, Michelle M.","contributorId":40087,"corporation":false,"usgs":true,"family":"Staedler","given":"Michelle M.","affiliations":[],"preferred":false,"id":537085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Melissa A.","contributorId":57701,"corporation":false,"usgs":false,"family":"Miller","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":39007,"text":"CA Dept of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":537086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jessup, David A.","contributorId":43206,"corporation":false,"usgs":false,"family":"Jessup","given":"David A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":537087,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mazet, Jonna A.K.","contributorId":68444,"corporation":false,"usgs":true,"family":"Mazet","given":"Jonna","email":"","middleInitial":"A.K.","affiliations":[],"preferred":false,"id":537088,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70141764,"text":"70141764 - 2014 - Photographic evidence of interspecies mating in geckos of the Lepidodactylus lugubris unisexual-bisexual complex (Squamata: Gekkonidae)","interactions":[],"lastModifiedDate":"2015-02-23T09:23:26","indexId":"70141764","displayToPublicDate":"2014-12-01T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3056,"text":"Phyllomedusa","active":true,"publicationSubtype":{"id":10}},"title":"Photographic evidence of interspecies mating in geckos of the Lepidodactylus lugubris unisexual-bisexual complex (Squamata: Gekkonidae)","docAbstract":"

An interspecies mating between unisexual Lepidodactylus lugubris and a male of the bisexual Lepidodactylus moestus was photographed by Carlos Cianchini on Kosrae [Island], FSM, at 18:15 h on 22 August 2013 (Figure 1). The mating pair was on a window frame inside a house at Pukusruk Wan village (05°21'01\" N, 163°00'41\" E, elev. 28 m a.s.l.) on the northeastern side of the island. This is the first direct evidence of mating between these two species.

","language":"English","publisher":"Melopsittacus Publicações Cientif́icas","publisherLocation":"Belo Horizonte","doi":"10.11606/issn.2316-9079.v13i2p133-136","usgsCitation":"Buden, D.W., Cianchini, C., Taborosi, D., Fisher, R.N., Bauer, A., and Ineich, I., 2014, Photographic evidence of interspecies mating in geckos of the Lepidodactylus lugubris unisexual-bisexual complex (Squamata: Gekkonidae): Phyllomedusa, v. 13, no. 2, p. 133-136, https://doi.org/10.11606/issn.2316-9079.v13i2p133-136.","productDescription":"4 p.","startPage":"133","endPage":"136","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059892","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11606/issn.2316-9079.v13i2p133-136","text":"Publisher Index Page"},{"id":298095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-24","publicationStatus":"PW","scienceBaseUri":"54ec5d45e4b02d776a67daae","contributors":{"authors":[{"text":"Buden, Donald W.","contributorId":41963,"corporation":false,"usgs":true,"family":"Buden","given":"Donald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":541031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cianchini, Carlos","contributorId":139397,"corporation":false,"usgs":false,"family":"Cianchini","given":"Carlos","email":"","affiliations":[{"id":12764,"text":"Federated States of Micronesia","active":true,"usgs":false}],"preferred":false,"id":541032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taborosi, Danko","contributorId":139398,"corporation":false,"usgs":false,"family":"Taborosi","given":"Danko","email":"","affiliations":[{"id":12765,"text":"Island Research and Educcation Initiative","active":true,"usgs":false}],"preferred":false,"id":541033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":541030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauer, Aaron","contributorId":139399,"corporation":false,"usgs":false,"family":"Bauer","given":"Aaron","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":541034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ineich, Ivan","contributorId":100760,"corporation":false,"usgs":true,"family":"Ineich","given":"Ivan","email":"","affiliations":[],"preferred":false,"id":541035,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70170482,"text":"70170482 - 2014 - Reconstructing the deadly eruptive events of 1790 CE at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2016-04-22T09:01:58","indexId":"70170482","displayToPublicDate":"2014-12-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing the deadly eruptive events of 1790 CE at Kīlauea Volcano, Hawai‘i","docAbstract":"

A large number of people died during an explosive eruption of Kīlauea Volcano in 1790 CE. Detailed study of the upper part of the Keanakāko‘i Tephra has identified the deposits that may have been responsible for the deaths. Three successive units record shifts in eruption style that agree well with accounts of the eruption based on survivor interviews 46 yr later. First, a wet fall of very fine, accretionary-lapilli–bearing ash created a “cloud of darkness.” People walked across the soft deposit, leaving footprints as evidence. While the ash was still unconsolidated, lithic lapilli fell into it from a high eruption column that was seen from 90 km away. Either just after this tephra fall or during its latest stage, pulsing dilute pyroclastic density currents, probably products of a phreatic eruption, swept across the western flank of Kīlauea, embedding lapilli in the muddy ash and crossing the trail along which the footprints occur. The pyroclastic density currents were most likely responsible for the fatalities, as judged from the reported condition and probable location of the bodies. This reconstruction is relevant today, as similar eruptions will probably occur in the future at Kīlauea and represent its most dangerous and least predictable hazard.

","language":"English","publisher":"Geological Society of America","publisherLocation":"New York, NY","doi":"10.1130/B31116.1","collaboration":"Samantha J. Weaver; Bruce F. Houghton","usgsCitation":"Swanson, D., Weaver, S.J., and Houghton, B.F., 2014, Reconstructing the deadly eruptive events of 1790 CE at Kīlauea Volcano, Hawai‘i: Geological Society of America Bulletin, v. 127, no. 3-4, p. 503-515, https://doi.org/10.1130/B31116.1.","productDescription":"13 p.","startPage":"503","endPage":"515","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056202","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":320396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.2836799621582,\n 19.43065788069488\n ],\n [\n -155.29329299926758,\n 19.425801277078957\n ],\n [\n -155.29672622680664,\n 19.42078263415394\n ],\n [\n -155.29998779296875,\n 19.415116238124682\n ],\n [\n -155.30101776123047,\n 19.408478208711944\n ],\n [\n -155.29998779296875,\n 19.39892544698541\n ],\n [\n -155.2965545654297,\n 19.392448679313798\n ],\n [\n -155.29020309448242,\n 19.388724421195075\n ],\n [\n -155.27990341186523,\n 19.387429007095374\n ],\n [\n -155.26857376098633,\n 19.387914788590646\n ],\n [\n -155.25432586669922,\n 19.393258289368795\n ],\n [\n -155.24351119995117,\n 19.3997350248192\n ],\n [\n -155.23321151733398,\n 19.41106869145732\n ],\n [\n -155.2371597290039,\n 19.41851609944751\n ],\n [\n -155.24471282958984,\n 19.425477498342186\n ],\n [\n -155.25157928466797,\n 19.431467300513766\n ],\n [\n -155.26067733764648,\n 19.434057416826118\n ],\n [\n -155.269775390625,\n 19.43519057972264\n ],\n [\n -155.28196334838867,\n 19.433733654546185\n ],\n [\n -155.2836799621582,\n 19.43065788069488\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"3-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-06","publicationStatus":"PW","scienceBaseUri":"571b4b33e4b071321fe31cc8","contributors":{"authors":[{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weaver, Samantha J","contributorId":168820,"corporation":false,"usgs":false,"family":"Weaver","given":"Samantha","email":"","middleInitial":"J","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":627392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":627393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139355,"text":"70139355 - 2014 - A visualization tool to support decision making in environmental and biological planning","interactions":[],"lastModifiedDate":"2015-01-27T09:37:05","indexId":"70139355","displayToPublicDate":"2014-12-01T09:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A visualization tool to support decision making in environmental and biological planning","docAbstract":"

Large-scale ecosystem management involves consideration of many factors for informed decision making. The EverVIEW Data Viewer is a cross-platform desktop decision support tool to help decision makers compare simulation model outputs from competing plans for restoring Florida's Greater Everglades. The integration of NetCDF metadata conventions into EverVIEW allows end-users from multiple institutions within and beyond the Everglades restoration community to share information and tools. Our development process incorporates continuous interaction with targeted end-users for increased likelihood of adoption. One of EverVIEW's signature features is side-by-side map panels, which can be used to simultaneously compare species or habitat impacts from alternative restoration plans. Other features include examination of potential restoration plan impacts across multiple geographic or tabular displays, and animation through time. As a result of an iterative, standards-driven approach, EverVIEW is relevant to large-scale planning beyond Florida, and is used in multiple biological planning efforts in the United States.

","language":"English","publisher":"Elsevier Science Ltd.","publisherLocation":"Oxford","doi":"10.1016/j.envsoft.2014.09.008","usgsCitation":"Romañach, S., McKelvy, M., Conzelmann, C., and Suir, K.J., 2014, A visualization tool to support decision making in environmental and biological planning: Environmental Modelling and Software, v. 62, p. 221-229, https://doi.org/10.1016/j.envsoft.2014.09.008.","productDescription":"9 p.","startPage":"221","endPage":"229","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046311","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2014.09.008","text":"Publisher Index Page"},{"id":297571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297563,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.envsoft.2014.09.008"}],"volume":"62","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a4fe4b08de9379b2fd5","contributors":{"authors":[{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":539318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKelvy, Mark 0000-0001-5465-2571 mckelvym@usgs.gov","orcid":"https://orcid.org/0000-0001-5465-2571","contributorId":4865,"corporation":false,"usgs":true,"family":"McKelvy","given":"Mark","email":"mckelvym@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":539316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suir, Kevin J. 0000-0003-1570-9648 suirk@usgs.gov","orcid":"https://orcid.org/0000-0003-1570-9648","contributorId":4894,"corporation":false,"usgs":true,"family":"Suir","given":"Kevin","email":"suirk@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539344,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160460,"text":"70160460 - 2014 - Site selection and nest survival of the Bar-Headed Goose (Anser indicus) on the Mongolian Plateau","interactions":[],"lastModifiedDate":"2017-07-19T15:43:40","indexId":"70160460","displayToPublicDate":"2014-12-01T09:30:00","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}},"title":"Site selection and nest survival of the Bar-Headed Goose (Anser indicus) on the Mongolian Plateau","docAbstract":"

Waterbirds breeding on the Mongolian Plateau in Central Asia must find suitable wetland areas for nesting in a semiarid region characterized by highly variable water conditions. The first systematic nesting study of a waterbird dependent on this region for breeding was conducted on the Bar-headed Goose (Anser indicus). The purpose of this study was to document Bar-headed Goose nesting locations, characterize nests and nesting strategies, and estimate daily nest survival (n = 235 nests) from eight areas of west-central Mongolia across three summers (2009–2011) using a modified Mayfield estimator. Bar-headed Goose daily nest survival ranged from 0.94 to 0.98, with a 3-year average nest success of 42.6% during incubation. Bar-headed Geese were found to primarily nest on isolated pond and lake islands as previously reported, but were also documented regularly, though less frequently, along rocky cliffs in several regions of west-central Mongolia. Daily nest survival was higher for cliff nests than for island nests. Information-theoretic models indicated that nest survival decreased with nest age and varied annually with changing environmental conditions. Results of this study suggest that while Bar-headed Geese primarily rely on nesting island sites these sites may be more susceptible to anthropogenic disturbance and predation events influenced by seasonal variation in environmental conditions, and that higher daily nest survival values documented for the less frequent cliff nest strategy may provide an important alternative strategy during poor island nest success years. Thus, conservation efforts for this and other waterbird species in the semiarid region should be focused on conserving nesting islands and protecting them from disturbance in areas of high livestock densities experiencing a rapidly warming climate.

","language":"English","publisher":"The Waterbird Society","publisherLocation":"Washington D.C.","doi":"10.1675/063.037.0405","usgsCitation":"Batbayar, N., Takekawa, J.Y., Natsagdorj, T., Spragens, K., and Xiao, X., 2014, Site selection and nest survival of the Bar-Headed Goose (Anser indicus) on the Mongolian Plateau: Waterbirds, v. 37, no. 4, p. 381-393, https://doi.org/10.1675/063.037.0405.","productDescription":"13 p.","startPage":"381","endPage":"393","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054305","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":312563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[87.75126,49.2972],[88.80557,49.47052],[90.71367,50.33181],[92.23471,50.80217],[93.10422,50.49529],[94.14757,50.48054],[94.81595,50.01343],[95.81403,49.97747],[97.25973,49.72606],[98.23176,50.4224],[97.82574,51.011],[98.86149,52.04737],[99.98173,51.63401],[100.88948,51.51686],[102.06522,51.25992],[102.25591,50.51056],[103.67655,50.08997],[104.62155,50.27533],[105.88659,50.40602],[106.8888,50.2743],[107.86818,49.79371],[108.47517,49.28255],[109.40245,49.29296],[110.66201,49.13013],[111.58123,49.37797],[112.89774,49.54357],[114.36246,50.2483],[114.96211,50.14025],[115.4857,49.80518],[116.6788,49.88853],[116.1918,49.1346],[115.48528,48.13538],[115.74284,47.72654],[116.30895,47.85341],[117.29551,47.69771],[118.06414,48.06673],[118.86657,47.74706],[119.77282,47.04806],[119.66327,46.69268],[118.87433,46.80541],[117.4217,46.67273],[116.71787,46.3882],[115.9851,45.72724],[114.46033,45.33982],[113.46391,44.80889],[112.43606,45.01165],[111.87331,45.10208],[111.34838,44.45744],[111.66774,44.07318],[111.82959,43.74312],[111.12968,43.40683],[110.4121,42.87123],[109.2436,42.51945],[107.74477,42.48152],[106.12932,42.13433],[104.96499,41.59741],[104.52228,41.90835],[103.31228,41.90747],[101.83304,42.51487],[100.84587,42.6638],[99.51582,42.52469],[97.45176,42.74889],[96.3494,42.72564],[95.76245,43.31945],[95.30688,44.24133],[94.68893,44.35233],[93.48073,44.97547],[92.13389,45.11508],[90.94554,45.28607],[90.58577,45.71972],[90.97081,46.88815],[90.28083,47.69355],[88.8543,48.06908],[88.01383,48.59946],[87.75126,49.2972]]]},\"properties\":{\"name\":\"Mongolia\"}}]}","volume":"37","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d4e4b0da412f4fb597","contributors":{"authors":[{"text":"Batbayar, Nyambayar","contributorId":40338,"corporation":false,"usgs":true,"family":"Batbayar","given":"Nyambayar","affiliations":[],"preferred":false,"id":582967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":582966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Natsagdorj, Tseveenmyadag","contributorId":28729,"corporation":false,"usgs":true,"family":"Natsagdorj","given":"Tseveenmyadag","email":"","affiliations":[],"preferred":false,"id":582968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spragens, Kyle A.","contributorId":98452,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle A.","affiliations":[],"preferred":false,"id":582969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiao, Xiamgming","contributorId":150758,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiamgming","email":"","affiliations":[{"id":18094,"text":"Dep't Micorbiology & Plant Biology, and Center for Spatial Analysis, U of OK, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":582970,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137894,"text":"70137894 - 2014 - Book review: Terrestrial biosphere-atmosphere fluxes and transport in the atmosphere-vegetation-soil continuum","interactions":[],"lastModifiedDate":"2018-09-14T15:58:38","indexId":"70137894","displayToPublicDate":"2014-12-01T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Terrestrial biosphere-atmosphere fluxes and transport in the atmosphere-vegetation-soil continuum","docAbstract":"

No abstract available.

","language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/gwat.12270","usgsCitation":"Stonestrom, D.A., 2014, Book review: Terrestrial biosphere-atmosphere fluxes and transport in the atmosphere-vegetation-soil continuum: Groundwater, v. 52, no. 6, p. 817-818, https://doi.org/10.1111/gwat.12270.","productDescription":"2 p.","startPage":"817","endPage":"818","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058097","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297205,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/gwat.12270/pdf"}],"volume":"52","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"54dd2abce4b08de9379b31b8","chorus":{"doi":"10.1111/gwat.12270","url":"http://dx.doi.org/10.1111/gwat.12270","publisher":"Wiley-Blackwell","authors":"Stonestrom David A.","journalName":"Groundwater","publicationDate":"9/19/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538281,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187408,"text":"70187408 - 2014 - Composition of dust deposited to snow cover in the Wasatch Range (Utah, USA): Controls on radiative properties of snow cover and comparison to some dust-source sediments","interactions":[],"lastModifiedDate":"2017-05-02T10:28:03","indexId":"70187408","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Composition of dust deposited to snow cover in the Wasatch Range (Utah, USA): Controls on radiative properties of snow cover and comparison to some dust-source sediments","docAbstract":"

Dust layers deposited to snow cover of the Wasatch Range (northern Utah) in 2009 and 2010 provide rare samples to determine the relations between their compositions and radiative properties. These studies are required to comprehend and model how such dust-on-snow (DOS) layers affect rates of snow melt through changes in the albedo of snow surfaces. We evaluated several constituents as potential contributors to the absorption of solar radiation indicated by values of absolute reflectance determined from bi-conical reflectance spectroscopy. Ferric oxide minerals and carbonaceous matter appear to be the primary influences on lowering snow-cover albedo. Techniques of reflectance and Mössbauer spectroscopy as well as rock magnetism provide information about the types, amounts, and grain sizes of ferric oxide minerals. Relatively high amounts of ferric oxide, indicated by hard isothermal remanent magnetization (HIRM), are associated with relatively low average reflectance (<0.25) across the visible wavelengths of the electromagnetic spectrum. Mössbauer spectroscopy indicates roughly equal amounts of hematite and goethite, representing about 35% of the total Fe-bearing phases. Nevertheless, goethite (α-FeOOH) is the dominant ferric oxide found by reflectance spectroscopy and thus appears to be the main iron oxide control on absorption of solar radiation. At least some goethite occurs as nano-phase grain coatings less than about 50 nm thick. Relatively high amounts of organic carbon, indicating as much as about 10% organic matter, are also associated with lower reflectance values. The organic matter, although not fully characterized by type, correlates strongly with metals (e.g., Cu, Pb, As, Cd, Mo, Zn) derived from distal urban and industrial settings, probably including mining and smelting sites. This relation suggests anthropogenic sources for at least some of the carbonaceous matter, such as emissions from transportation and industrial activities. The composition of the DOS samples can be compared with sediments in a likely dust-source setting at the Milford Flat Fire (MFF) area about 225 km southwest of Salt Lake City. The MFF area represents geologically and physiographically similar and widespread dust sources west-southwest of the Wasatch Range and heavily populated Wasatch Front. The DOS layers and MFF sediments are similar in some textural, chemical, and magnetic properties, as well as in the common presence of goethite, hematite, magnetite-bearing basalt fragments, quartz, plagioclase, illite, and kaolinite. Textural and some chemical differences among these deposits can be explained by atmospheric sorting as well as by inputs from other settings, such as salt-crusted playas and contaminant sources.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2013.08.001","usgsCitation":"Reynolds, R.L., Goldstein, H.L., Moskowitz, B.M., Bryant, A.C., Skiles, S.M., Kokaly, R., Flagg, C.B., Yauk, K., Berquo, T.S., Breit, G.N., Ketterer, M., Fernandez, D., Miller, M.E., and Painter, T.H., 2014, Composition of dust deposited to snow cover in the Wasatch Range (Utah, USA): Controls on radiative properties of snow cover and comparison to some dust-source sediments: Aeolian Research, v. 15, p. 73-90, https://doi.org/10.1016/j.aeolia.2013.08.001.","productDescription":"18 p.","startPage":"73","endPage":"90","ipdsId":"IP-039361","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Wasatch Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.20886230468749,\n 40.233411907115055\n ],\n [\n -111.59912109375,\n 40.233411907115055\n ],\n [\n -111.59912109375,\n 40.93011520598305\n ],\n [\n -112.20886230468749,\n 40.93011520598305\n ],\n [\n -112.20886230468749,\n 40.233411907115055\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099ab0e4b0fc4e44915804","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moskowitz, Bruce M.","contributorId":191599,"corporation":false,"usgs":false,"family":"Moskowitz","given":"Bruce","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryant, Ann C.","contributorId":191698,"corporation":false,"usgs":false,"family":"Bryant","given":"Ann","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":693895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skiles, S. McKenzie","contributorId":147878,"corporation":false,"usgs":false,"family":"Skiles","given":"S.","email":"","middleInitial":"McKenzie","affiliations":[{"id":16952,"text":"University of California- Los Angeles, Joint Intitute for Regional Earth System Science and Engineering","active":true,"usgs":false}],"preferred":false,"id":693896,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":693897,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flagg, Cody B. cflagg@usgs.gov","contributorId":4573,"corporation":false,"usgs":true,"family":"Flagg","given":"Cody","email":"cflagg@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":693898,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yauk, Kimberly","contributorId":75415,"corporation":false,"usgs":true,"family":"Yauk","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":693899,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Berquo, Thelma S.","contributorId":40106,"corporation":false,"usgs":true,"family":"Berquo","given":"Thelma","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693900,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":693901,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ketterer, Michael","contributorId":191699,"corporation":false,"usgs":false,"family":"Ketterer","given":"Michael","affiliations":[],"preferred":false,"id":693902,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fernandez, Daniel","contributorId":80588,"corporation":false,"usgs":true,"family":"Fernandez","given":"Daniel","affiliations":[],"preferred":false,"id":693903,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":693904,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Painter, Thomas H.","contributorId":12378,"corporation":false,"usgs":true,"family":"Painter","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":693905,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70138860,"text":"70138860 - 2014 - Inhalable desert dust, urban emissions, and potentially biotoxic metals in urban Saharan-Sahelian air","interactions":[],"lastModifiedDate":"2015-01-23T14:54:16","indexId":"70138860","displayToPublicDate":"2014-12-01T00:00:00","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":"Inhalable desert dust, urban emissions, and potentially biotoxic metals in urban Saharan-Sahelian air","docAbstract":"

Saharan dust incursions and particulates emitted from human activities degrade air quality throughout West Africa, especially in the rapidly expanding urban centers in the region. Particulate matter (PM) that can be inhaled is strongly associated with increased incidence of and mortality from cardiovascular and respiratory diseases and cancer. Air samples collected in the capital of a Saharan–Sahelian country (Bamako, Mali) between September 2012 and July 2013 were found to contain inhalable PM concentrations that exceeded World Health Organization (WHO) and US Environmental Protection Agency (USEPA) PM2.5 and PM10 24-h limits 58 – 98% of days and European Union (EU) PM10 24-h limit 98% of days. Mean concentrations were 1.2-to-4.5 fold greater than existing limits. Inhalable PM was enriched in transition metals, known to produce reactive oxygen species and initiate the inflammatory response, and other potentially bioactive and biotoxic metals/metalloids. Eroded mineral dust composed the bulk of inhalable PM, whereas most enriched metals/metalloids were likely emitted from oil combustion, biomass burning, refuse incineration, vehicle traffic, and mining activities. Human exposure to inhalable PM and associated metals/metalloids over 24-h was estimated. The findings indicate that inhalable PM in the Sahara–Sahel region may present a threat to human health, especially in urban areas with greater inhalable PM and transition metal exposure.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.08.106","usgsCitation":"Garrison, V.H., Majewski, M.S., Konde, L., Wolf, R.E., Otto, R.D., and Tsuneoka, Y., 2014, Inhalable desert dust, urban emissions, and potentially biotoxic metals in urban Saharan-Sahelian air: Science of the Total Environment, no. 500-501, p. 383-394, https://doi.org/10.1016/j.scitotenv.2014.08.106.","productDescription":"12 p.","startPage":"383","endPage":"394","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057063","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mali","city":"Bamako","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -8.4210205078125,\n 12.297068292853805\n ],\n [\n -8.4210205078125,\n 12.693932935851421\n ],\n [\n -7.8167724609375,\n 12.693932935851421\n ],\n [\n -7.8167724609375,\n 12.297068292853805\n ],\n [\n -8.4210205078125,\n 12.297068292853805\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"500-501","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a88e4b08de9379b30de","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":539098,"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":539099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konde, Lassana","contributorId":138893,"corporation":false,"usgs":false,"family":"Konde","given":"Lassana","email":"","affiliations":[{"id":12570,"text":"US Department of State, US Embassy Bamako, Mali","active":true,"usgs":false}],"preferred":false,"id":539100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":539101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otto, Richard D.","contributorId":138894,"corporation":false,"usgs":false,"family":"Otto","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":12571,"text":"US Department of State, Office of MEdical Services, Washington DC","active":true,"usgs":false}],"preferred":false,"id":539102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tsuneoka, Yutaka","contributorId":138895,"corporation":false,"usgs":false,"family":"Tsuneoka","given":"Yutaka","email":"","affiliations":[{"id":12572,"text":"Embassy of Japan in Sri Lanka, Colombo, Sri Lanka","active":true,"usgs":false}],"preferred":false,"id":539103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138832,"text":"70138832 - 2014 - Estimating true instead of apparent survival using spatial Cormack-Jolly-Seber models","interactions":[],"lastModifiedDate":"2015-01-23T09:51:16","indexId":"70138832","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Estimating true instead of apparent survival using spatial Cormack-Jolly-Seber models","docAbstract":"
    \n
  1. Survival is often estimated from capture–recapture data using Cormack–Jolly–Seber (CJS) models, where mortality and emigration cannot be distinguished, and the estimated apparent survival probability is the product of the probabilities of true survival and of study area fidelity. Consequently, apparent survival is lower than true survival unless study area fidelity equals one. Underestimation of true survival from capture–recapture data is a main limitation of the method.
    2. \n
  2. We develop a spatial version of the CJS model that allows estimation of true survival. Besides the information about whether a specific individual was encountered at a given occasion, it is often recorded where the encounter occurred. Thus, information is available about the fraction of dispersal that occurs within the study area, and we use it to model dispersal and estimate true survival. Our model is formulated hierarchically and consists of survival, dispersal and observation submodels, assuming that encounters are possible anywhere within a study area.
    3. \n
  3. In a simulation study, our new spatial CJS model produced accurate estimates of true survival and dispersal behaviour for various sizes and shapes of the study area, even if emigration is substantial. However, when the information about dispersal is scarce due to low survival, low recapture probabilities and high emigration, the estimators are positively biased. Moreover, survival estimates are sensitive to the assumed dispersal kernel.
    4. \n
  4. We applied the spatial CJS model to a data set of adult red-backed shrikes (Lanius collurio). Apparent survival of males (c. 0·5) estimated with the CJS model was larger than in females (c. 0·4), but the application of the spatial CJS model revealed that both sexes had similar survival probabilities (c. 0·6). The mean breeding dispersal distance in females was c. 700 m, while males dispersed only c. 250 m between years.
    5. \n
  5. Spatial CJS models enable study of dispersal and survival independent of study design constraints such as imperfect detection and size of the study area provided that some of the dispersing individuals remain in the study area. We discuss possible extensions of our model: alternative dispersal models and the inclusion of covariates and of a habitat suitability map.
    6. \n
","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12134","usgsCitation":"Schaub, M., and Royle, J., 2014, Estimating true instead of apparent survival using spatial Cormack-Jolly-Seber models: Methods in Ecology and Evolution, v. 5, no. 12, p. 1316-1326, https://doi.org/10.1111/2041-210X.12134.","productDescription":"11 p.","startPage":"1316","endPage":"1326","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052069","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":297476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-29","publicationStatus":"PW","scienceBaseUri":"54dd2a74e4b08de9379b306d","contributors":{"authors":[{"text":"Schaub, Michael","contributorId":138861,"corporation":false,"usgs":false,"family":"Schaub","given":"Michael","email":"","affiliations":[{"id":12551,"text":"Swiss Ornithological Institute, Sempach, Switzerland","active":true,"usgs":false}],"preferred":false,"id":539030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew aroyle@usgs.gov","contributorId":138860,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":539029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70138885,"text":"70138885 - 2014 - Genetic structure of Florida green turtle rookeries as indicated by mitochondrial DNA control region sequences","interactions":[],"lastModifiedDate":"2015-05-18T10:59:32","indexId":"70138885","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of Florida green turtle rookeries as indicated by mitochondrial DNA control region sequences","docAbstract":"

Green turtle (Chelonia mydas) nesting has increased dramatically in Florida over the past two decades, ranking the Florida nesting aggregation among the largest in the Greater Caribbean region. Individual beaches that comprise several hundred kilometers of Florida’s east coast and Keys support tens to thousands of nests annually. These beaches encompass natural to highly developed habitats, and the degree of demographic partitioning among rookeries was previously unresolved. We characterized the genetic structure of ten Florida rookeries from Cape Canaveral to the Dry Tortugas through analysis of 817 base pair mitochondrial DNA (mtDNA) control region sequences from 485 nesting turtles. Two common haplotypes, CM-A1.1 and CM-A3.1, accounted for 87 % of samples, and the haplotype frequencies were strongly partitioned by latitude along Florida’s Atlantic coast. Most genetic structure occurred between rookeries on either side of an apparent genetic break in the vicinity of the St. Lucie Inlet that separates Hutchinson Island and Jupiter Island, representing the finest scale at which mtDNA structure has been documented in marine turtle rookeries. Florida and Caribbean scale analyses of population structure support recognition of at least two management units: central eastern Florida and southern Florida. More thorough sampling and deeper sequencing are necessary to better characterize connectivity among Florida green turtle rookeries as well as between the Florida nesting aggregation and others in the Greater Caribbean region.

","language":"English","publisher":"Springer","doi":"10.1007/s10592-014-0692-y","usgsCitation":"Shamblin, B.M., Bagley, D.A., Ehrhart, L.M., Desjardin, N.A., Martin, R.E., Hart, K.M., Naro-Maciel, E., Rusenko, K., Stiner, J.C., Sobel, D., Johnson, C., Wilmers, T., Wright, L.J., and Nairn, C.J., 2014, Genetic structure of Florida green turtle rookeries as indicated by mitochondrial DNA control region sequences: Conservation Genetics, v. 16, no. 3, p. 673-685, https://doi.org/10.1007/s10592-014-0692-y.","productDescription":"13 p.","startPage":"673","endPage":"685","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058703","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501664,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://stars.library.ucf.edu/facultybib2010/6795","text":"External Repository"},{"id":297491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.133544921875,\n 24.407137917727653\n ],\n [\n -83.133544921875,\n 28.98892237190413\n ],\n [\n -79.595947265625,\n 28.98892237190413\n ],\n [\n -79.595947265625,\n 24.407137917727653\n ],\n [\n -83.133544921875,\n 24.407137917727653\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-28","publicationStatus":"PW","scienceBaseUri":"54dd2a7ce4b08de9379b309c","contributors":{"authors":[{"text":"Shamblin, Brian M.","contributorId":138897,"corporation":false,"usgs":false,"family":"Shamblin","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":12573,"text":"Daniel B. Warnell School of Forestry and Natural Resource, Athens Georiga","active":true,"usgs":false}],"preferred":false,"id":539146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagley, Dean A.","contributorId":138898,"corporation":false,"usgs":false,"family":"Bagley","given":"Dean","email":"","middleInitial":"A.","affiliations":[{"id":12574,"text":"Department of Biology , University of Central Florida, Orlando, Florida","active":true,"usgs":false}],"preferred":false,"id":539147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ehrhart, Llewellyn M.","contributorId":138899,"corporation":false,"usgs":false,"family":"Ehrhart","given":"Llewellyn","email":"","middleInitial":"M.","affiliations":[{"id":12574,"text":"Department of Biology , University of Central Florida, Orlando, Florida","active":true,"usgs":false}],"preferred":false,"id":539148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Desjardin, Nicole A.","contributorId":138900,"corporation":false,"usgs":false,"family":"Desjardin","given":"Nicole","email":"","middleInitial":"A.","affiliations":[{"id":12575,"text":"Ecological Associates, Inc, Jensen Beach, Florida","active":true,"usgs":false}],"preferred":false,"id":539149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, R. Erik","contributorId":138901,"corporation":false,"usgs":false,"family":"Martin","given":"R.","email":"","middleInitial":"Erik","affiliations":[{"id":12575,"text":"Ecological Associates, Inc, Jensen Beach, Florida","active":true,"usgs":false}],"preferred":false,"id":539150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Naro-Maciel, Eugenia","contributorId":138902,"corporation":false,"usgs":false,"family":"Naro-Maciel","given":"Eugenia","email":"","affiliations":[{"id":12576,"text":"College of Staten Island, Staten Island, New York","active":true,"usgs":false}],"preferred":false,"id":539151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rusenko, Kirt","contributorId":138903,"corporation":false,"usgs":false,"family":"Rusenko","given":"Kirt","affiliations":[{"id":12577,"text":"Bumbo Limbo Nature Center Inc, Boca Raton, Florida","active":true,"usgs":false}],"preferred":false,"id":539152,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stiner, John C.","contributorId":138904,"corporation":false,"usgs":false,"family":"Stiner","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":12578,"text":"Canaveral National Seashore, Titusville, Florida","active":true,"usgs":false}],"preferred":false,"id":539153,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sobel, Debra","contributorId":138905,"corporation":false,"usgs":false,"family":"Sobel","given":"Debra","email":"","affiliations":[{"id":12579,"text":"Sea Trutle Conservaton League of Singer Island, Jupiter, Florida","active":true,"usgs":false}],"preferred":false,"id":539154,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Chris","contributorId":138909,"corporation":false,"usgs":false,"family":"Johnson","given":"Chris","affiliations":[],"preferred":false,"id":539155,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilmers, Thomas","contributorId":138906,"corporation":false,"usgs":false,"family":"Wilmers","given":"Thomas","email":"","affiliations":[{"id":12580,"text":"Key West National Wildlife Refuge, Big pIne Key, Florida","active":true,"usgs":false}],"preferred":false,"id":539156,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wright, Laura J.","contributorId":138907,"corporation":false,"usgs":false,"family":"Wright","given":"Laura","email":"","middleInitial":"J.","affiliations":[{"id":12581,"text":"Nova Southeastern University Ocenographic Center, Dania Beach, Florida","active":true,"usgs":false}],"preferred":false,"id":539157,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nairn, Campbell J.","contributorId":138908,"corporation":false,"usgs":false,"family":"Nairn","given":"Campbell","email":"","middleInitial":"J.","affiliations":[{"id":12573,"text":"Daniel B. Warnell School of Forestry and Natural Resource, Athens Georiga","active":true,"usgs":false}],"preferred":false,"id":539158,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70187377,"text":"70187377 - 2014 - A comparison of passive and active acoustic sampling for a bat community impacted by White-nose syndrome","interactions":[],"lastModifiedDate":"2017-05-01T10:31:47","indexId":"70187377","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of passive and active acoustic sampling for a bat community impacted by White-nose syndrome","docAbstract":"

In the summers of 2011 and 2012, we compared passive and active acoustic sampling for bats at 31 sites at Fort Drum Military Installation, New York. We defined active sampling as acoustic sampling that occurred in 30-min intervals between the hours of sunset and 0200 with a user present to manipulate the directionality of the microphone. We defined passive sampling as acoustic sampling that occurred over a 12-h period (1900–0700 hours) without a user present and with the microphone set in a predetermined direction. We detected seven of the nine possible species at Fort Drum, including the federally endangered Indiana bat Myotis sodalis, the proposed-for-listing northern bat M. septentrionalis, the little brown bat M. lucifugus, and the big brown bat Eptesicus fuscus, which are impacted by white-nose syndrome (WNS); and the eastern red bat Lasiurus borealis, the hoary bat L. cinereus, and the silver-haired bat Lasionycteris noctivagans, which are not known to be impacted by WNS. We did not detect two additional WNS-impacted species known to historically occur in the area: the eastern small-footed bat Myotis leibii and the tri-colored bat Perimyotis subflavus. Single-season occupancy models revealed lower detection probabilities of all detected species using active sampling versus passive sampling. Additionally, overall detection probabilities declined in detected WNS-impacted species between years. A paired t-test of simultaneous sampling on 21 occasions revealed that overall recorded foraging activity per hour was greater using active than passive sampling for big brown bats and greater using passive than active sampling for little brown bats. There was no significant difference in recorded activity between methods for other WNS-impacted species, presumably because these species have been so reduced in number that their “apparency” on the landscape is lower. Finally, a cost analysis of standard passive and active sampling protocols revealed that passive sampling is substantially more cost-effective than active sampling per hour of data collection. We recommend passive sampling over active sampling methodologies as they are defined in our study for detection probability and/or occupancy studies focused on declining bat species in areas that have experienced severe WNS-associated impacts.

","language":"English","publisher":"Scientific Journals","doi":"10.3996/082013-JFWM-057","usgsCitation":"Coleman, L.S., Ford, W.M., Dobony, C.A., and Britzke, E.R., 2014, A comparison of passive and active acoustic sampling for a bat community impacted by White-nose syndrome: Journal of Fish and Wildlife Management, v. 5, no. 2, p. 217-226, https://doi.org/10.3996/082013-JFWM-057.","productDescription":"10 p.","startPage":"217","endPage":"226","ipdsId":"IP-051164","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472614,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/082013-jfwm-057","text":"Publisher Index Page"},{"id":340656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"5908492de4b0fc4e448ffd6a","contributors":{"authors":[{"text":"Coleman, Laci S.","contributorId":171672,"corporation":false,"usgs":false,"family":"Coleman","given":"Laci","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobony, Christopher A.","contributorId":171455,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":693702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70140708,"text":"70140708 - 2014 - Characterizing riverbed sediment using high-frequency acoustics 1: spectral properties of scattering","interactions":[],"lastModifiedDate":"2015-02-12T11:13:12","indexId":"70140708","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing riverbed sediment using high-frequency acoustics 1: spectral properties of scattering","docAbstract":"

Bed-sediment classification using high-frequency hydro-acoustic instruments is challenging when sediments are spatially heterogeneous, which is often the case in rivers. The use of acoustic backscatter to classify sediments is an attractive alternative to analysis of topography because it is potentially sensitive to grain-scale roughness. Here, a new method is presented which uses high-frequency acoustic backscatter from multibeam sonar to classify heterogeneous riverbed sediments by type (sand, gravel,rock) continuously in space and at small spatial resolution. In this, the first of a pair of papers that examine the scattering signatures from a heterogeneous riverbed, methods are presented to construct spatially explicit maps of spectral properties from geo-referenced point clouds of geometrically and radiometrically corrected echoes. Backscatter power spectra are computed to produce scale and amplitude metrics that collectively characterize the length scales of stochastic measures of riverbed scattering, termed ‘stochastic geometries’. Backscatter aggregated over small spatial scales have spectra that obey a power-law. This apparently self-affine behavior could instead arise from morphological- and grain-scale roughnesses over multiple overlapping scales, or riverbed scattering being transitional between Rayleigh and geometric regimes. Relationships exist between stochastic geometries of backscatter and areas of rough and smooth sediments. However, no one parameter can uniquely characterize a particular substrate, nor definitively separate the relative contributions of roughness and acoustic impedance (hardness). Combinations of spectral quantities do, however, have the potential to delineate riverbed sediment patchiness, in a data-driven approach comparing backscatter with bed-sediment observations (which is the subject of part two of this manuscript).

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JF003189","usgsCitation":"Buscombe, D.D., Grams, P.E., and Kaplinski, M.A., 2014, Characterizing riverbed sediment using high-frequency acoustics 1: spectral properties of scattering: Journal of Geophysical Research F: Earth Surface, v. 119, no. 12, p. 2674-2691, https://doi.org/10.1002/2014JF003189.","productDescription":"18 p.","startPage":"2674","endPage":"2691","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056183","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jf003189","text":"Publisher Index Page"},{"id":297949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-19","publicationStatus":"PW","scienceBaseUri":"54dd2a5de4b08de9379b3010","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaplinski, Matthew A.","contributorId":139210,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":540355,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147001,"text":"70147001 - 2014 - Ecohydrology of dry regions: storage versus pulse soil water dynamics","interactions":[],"lastModifiedDate":"2015-04-24T14:17:53","indexId":"70147001","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Ecohydrology of dry regions: storage versus pulse soil water dynamics","docAbstract":"

Although arid and semiarid regions are defined by low precipitation, the seasonal timing of temperature and precipitation can influence net primary production and plant functional type composition. The importance of precipitation seasonality is evident in semiarid areas of the western U.S., which comprise the Intermountain (IM) zone, a region that receives important winter precipitation and is dominated by woody plants and the Great Plains (GP), a region that receives primarily summer precipitation and is dominated by perennial grasses. Although these general relationships are well recognized, specific differences in water cycling between these regions have not been well characterized. We used a daily time step soil water simulation model and twenty sites from each region to analyze differences in soil water dynamics and ecosystem water balance. IM soil water patterns are characterized by storage of water during fall, winter, and spring resulting in relatively reliable available water during spring and early summer, particularly in deep soil layers. By contrast, GP soil water patterns are driven by pulse precipitation events during the warm season, resulting in fluctuating water availability in all soil layers. These contrasting patterns of soil water—storage versus pulse dynamics—explain important differences between the two regions. Notably, the storage dynamics of the IN sites increases water availability in deep soil layers, favoring the deeper rooted woody plants in that region, whereas the pulse dynamics of the Great Plains sites provide water primarily in surface layers, favoring the shallow-rooted grasses in that region. In addition, because water received when plants are either not active or only partially so is more vulnerable to evaporation and sublimation than water delivered during the growing season, IM ecosystems use a smaller fraction of precipitation for transpiration (47%) than GP ecosystems (49%). Recognizing the pulse-storage dichotomy in soil water regimes between the IM and GP regions may be useful for understanding the potential influence of climate changes on soil water patterns and resulting dominant plant functional groups in both regions.

","language":"English","publisher":"Springer","doi":"10.1007/s10021-014-9808-y","usgsCitation":"Lauenroth, W.K., Schlaepfer, D., and Bradford, J.B., 2014, Ecohydrology of dry regions: storage versus pulse soil water dynamics: Ecosystems, v. 17, no. 8, p. 1469-1479, https://doi.org/10.1007/s10021-014-9808-y.","productDescription":"11 p.","startPage":"1469","endPage":"1479","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029594","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":299874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-01","publicationStatus":"PW","scienceBaseUri":"553b6943e4b0a658d79371b4","contributors":{"authors":[{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":545573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":545572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":545571,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144504,"text":"70144504 - 2014 - Volcanology: Lessons learned from Synthetic Aperture Radar imagery","interactions":[],"lastModifiedDate":"2019-03-13T09:40:53","indexId":"70144504","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Volcanology: Lessons learned from Synthetic Aperture Radar imagery","docAbstract":"

Twenty years of continuous Earth observation by satellite SAR have resulted in numerous new insights into active volcanism, including a better understanding of subsurface magma storage and transport, deposition of volcanic materials on the surface, and the structure and development of volcanic edifices. This massive archive of data has resulted in fundamental leaps in our understanding of how volcanoes work – for example, identifying magma accumulation at supposedly quiescent volcanoes, even in remote areas or in the absence of ground-based data. In addition, global compilations of volcanic activity facilitate comparison of deformation behavior between different volcanic arcs and statistical evaluation of the strong link between deformation and eruption. SAR data are also increasingly used in timely hazard evaluation thanks to decreases in data latency and growth in processing and analysis techniques. The existing archive of SAR imagery is on the cusp of being enhanced by a new generation of satellite SAR missions, in addition to ground-based and airborne SAR systems, which will provide enhanced temporal and spatial resolution, broader geographic coverage, and improved availability of data to the scientific community. Now is therefore an opportune time to review the contributions of SAR imagery to volcano science, monitoring, and hazard mitigation, and to explore the future potential for SAR in volcanology. Provided that the ever-growing volume of SAR data can be managed effectively, we expect the future application of SAR data to expand from being a research tool for analyzing volcanic activity after the fact, to being a monitoring and research tool capable of imaging a wide variety of processes on different temporal and spatial scales as those processes are occurring. These data can then be used to develop new models of how volcanoes work and to improve quantitative forecasts of volcanic activity as a means of mitigating risk from future eruptions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2014.10.010","usgsCitation":"Pinel, V., Poland, M.P., and Hooper, A., 2014, Volcanology: Lessons learned from Synthetic Aperture Radar imagery: Journal of Volcanology and Geothermal Research, v. 289, p. 81-113, https://doi.org/10.1016/j.jvolgeores.2014.10.010.","productDescription":"33 p.","startPage":"81","endPage":"113","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057840","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":299207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"289","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc52fe4b0323842783a5e","contributors":{"authors":[{"text":"Pinel, Virginie","contributorId":139984,"corporation":false,"usgs":false,"family":"Pinel","given":"Virginie","email":"","affiliations":[{"id":13343,"text":"Université de Savoie · ISTerre Sciences Institute EARTH","active":true,"usgs":false}],"preferred":false,"id":543663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":543662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooper, Andrew","contributorId":139985,"corporation":false,"usgs":false,"family":"Hooper","given":"Andrew","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":543664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139547,"text":"70139547 - 2014 - Anuran site occupancy and species richness as tools for evaluating restoration of a hydrologically-modified landscape","interactions":[],"lastModifiedDate":"2015-01-28T14:28:41","indexId":"70139547","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Anuran site occupancy and species richness as tools for evaluating restoration of a hydrologically-modified landscape","docAbstract":"

A fundamental goal of wetland restoration is to reinstate pre-disturbance hydrological conditions to degraded landscapes, facilitating recolonization by native species and the production of resilient, functional ecosystems. To evaluate restoration success, baseline conditions need to be determined and a reference target needs to be established that will serve as an ecological blueprint in the restoration process. During the summer wet seasons of 2010 and 2011, we used automated recording units to monitor a community of calling anuran amphibians in the Picayune Strand State Forest of Southwest Florida, USA. This area is undergoing hydrological restoration as part of the Comprehensive Everglades Restoration Plan. We compared occurrence of anurans at sites in the restoration area, to nearby locations in relatively undisturbed habitat (reference sites). We assessed the utility of the latter as restoration targets, using a hierarchical model of community species occupancy to estimate the probability of occurrence of anurans in restoration and reference locations. We detected 14 species, 13 of which were significantly more likely to occur in reference areas. All 14 species were estimated by our model to occur at these sites but, across both years, only 8–13 species were estimated to occur at restoration sites. The composition and structure of these habitats within and adjacent to the Picayune Strand State Forest indicate that they are suitable targets for habitat restoration, as measured by amphibian occurrence and species richness. These areas are important sources for recolonization of anuran amphibians as the hydrologically degraded Picayune Strand undergoes restoration to mitigate the effects of overdrainage and habitat loss.

","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s11273-014-9356-4","usgsCitation":"Walls, S.C., Waddle, J.H., Barichivich, W.J., Bartoszek, I.A., Brown, M., Hefner, J.M., and Schuman, M., 2014, Anuran site occupancy and species richness as tools for evaluating restoration of a hydrologically-modified landscape: Wetlands Ecology and Management, v. 22, no. 6, p. 625-639, https://doi.org/10.1007/s11273-014-9356-4.","productDescription":"15 p.","startPage":"625","endPage":"639","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045360","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Picayune Strand State Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.617431640625,\n 25.942609332852275\n ],\n [\n -81.617431640625,\n 26.19795726272403\n ],\n [\n -81.32972717285156,\n 26.19795726272403\n ],\n [\n -81.32972717285156,\n 25.942609332852275\n ],\n [\n -81.617431640625,\n 25.942609332852275\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-14","publicationStatus":"PW","scienceBaseUri":"54dd2a55e4b08de9379b2fe9","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartoszek, Ian A.","contributorId":138954,"corporation":false,"usgs":false,"family":"Bartoszek","given":"Ian","email":"","middleInitial":"A.","affiliations":[{"id":12592,"text":"Conservancy of Southwest Florida, Naples, FL","active":true,"usgs":false}],"preferred":false,"id":539437,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brown, Mary E. 0000-0002-5580-137X","orcid":"https://orcid.org/0000-0002-5580-137X","contributorId":38112,"corporation":false,"usgs":true,"family":"Brown","given":"Mary E.","affiliations":[],"preferred":false,"id":539438,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hefner, J. M.","contributorId":39427,"corporation":false,"usgs":true,"family":"Hefner","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":539439,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schuman, Melinda J.","contributorId":138955,"corporation":false,"usgs":false,"family":"Schuman","given":"Melinda J.","affiliations":[{"id":12592,"text":"Conservancy of Southwest Florida, Naples, FL","active":true,"usgs":false}],"preferred":false,"id":539440,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70139633,"text":"70139633 - 2014 - Water and food acquisition and their consequences for life history and metabolism of North American tortoises","interactions":[],"lastModifiedDate":"2020-07-03T15:26:08.56516","indexId":"70139633","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Water and food acquisition and their consequences for life history and metabolism of North American tortoises","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and conservation of North American tortoises","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","publisherLocation":"Baltimore, MD","usgsCitation":"Esque, T., Drake, K.K., and Nussear, K.E., 2014, Water and food acquisition and their consequences for life history and metabolism of North American tortoises, chap. 10 of Biology and conservation of North American tortoises, p. 85-95.","productDescription":"11 p.","startPage":"85","endPage":"95","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045684","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":298331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297606,"type":{"id":15,"text":"Index Page"},"url":"https://muse.jhu.edu/books/9781421413785"}],"otherGeospatial":"North America","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e8","contributors":{"authors":[{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":138964,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":539469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, K. Kristina 0000-0003-0711-7634 kdrake@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-7634","contributorId":3799,"corporation":false,"usgs":true,"family":"Drake","given":"K.","email":"kdrake@usgs.gov","middleInitial":"Kristina","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":539467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":539468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70139546,"text":"70139546 - 2014 - Identifying monitoring gaps for amphibian populations in a North American biodiversity hotspot, the southeastern USA","interactions":[],"lastModifiedDate":"2015-01-28T14:40:15","indexId":"70139546","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Identifying monitoring gaps for amphibian populations in a North American biodiversity hotspot, the southeastern USA","docAbstract":"

I review the primary literature to ascertain the status of amphibian monitoring efforts in the southeastern USA, a “hotspot” for biodiversity in North America. This effort revealed taxonomic, geographic and ecological disparities in studies of amphibian populations in this region. Of the species of anurans and caudates known to occur in the Southeast, 73.8 and 33.3 %, respectively, have been monitored continuously for at least 4 years. Anurans are generally shorter-lived than are caudates and, thus, have been studied for the equivalent of at least one population turnover more than have caudates. The percentage of species (of those occurring in a given state) monitored continuously for at least 4 years was lowest for Alabama and Mississippi and highest for Florida for both taxa. The vast majority of studies (69.6 %) were conducted on species that inhabit natural freshwater wetlands, in contrast to other aquatic and terrestrial habitats. Species considered threatened by the International Union for Conservation of Nature comprised only 7.7 % of 65 species that have been studied consistently. The majority of comparative studies of contemporary versus historical occurrences were potentially biased by the use of “presence-only” historical data and resurveys of short duration. Other issues, such as inadequate temporal and spatial scale and neglect of different sources of error, were common. Awareness of these data gaps and sampling and statistical issues may help facilitate informed decisions in setting future monitoring priorities, particularly with respect to species, habitats and locations that have been largely overlooked in past and ongoing studies.

","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s10531-014-0782-7","usgsCitation":"Walls, S.C., 2014, Identifying monitoring gaps for amphibian populations in a North American biodiversity hotspot, the southeastern USA: Biodiversity and Conservation, v. 23, no. 13, p. 3341-3357, https://doi.org/10.1007/s10531-014-0782-7.","productDescription":"17 p.","startPage":"3341","endPage":"3357","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056114","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.0869140625,\n 24.44714958973082\n ],\n [\n -94.0869140625,\n 39.436192999314066\n ],\n [\n -75.5859375,\n 39.436192999314066\n ],\n [\n -75.5859375,\n 24.44714958973082\n ],\n [\n -94.0869140625,\n 24.44714958973082\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"13","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-10","publicationStatus":"PW","scienceBaseUri":"54dd2a87e4b08de9379b30d5","contributors":{"authors":[{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":539433,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193637,"text":"70193637 - 2014 - Cogenetic late Pleistocene rhyolite and cumulate diorites from Augustine Volcano revealed by SIMS 238U-230Th dating of zircon, and implications for silicic magma generation by extraction from mush","interactions":[],"lastModifiedDate":"2019-03-05T09:26:17","indexId":"70193637","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cogenetic late Pleistocene rhyolite and cumulate diorites from Augustine Volcano revealed by SIMS 238U-230Th dating of zircon, and implications for silicic magma generation by extraction from mush","title":"Cogenetic late Pleistocene rhyolite and cumulate diorites from Augustine Volcano revealed by SIMS 238U-230Th dating of zircon, and implications for silicic magma generation by extraction from mush","docAbstract":"

Augustine Volcano, a frequently active andesitic island stratocone, erupted a late Pleistocene rhyolite pumice fall that is temporally linked through zircon geochronology to cumulate dioritic blocks brought to the surface in Augustine's 2006 eruption. Zircon from the rhyolite yield a 238U-230Th age of ∼25 ka for their unpolished rims, and their interiors yield a bimodal age populations at ∼26 ka and a minority at ∼41 ka. Zircon from dioritic blocks, ripped from Augustine's shallow magmatic plumbing system and ejected during the 2006 eruption, have interiors defining a ∼26 ka age population that is indistinguishable from that for the rhyolite; unpolished rims on the dioritic zircon are dominantly younger (≤12 ka) indicating subsequent crystallization. Zircon from rhyolite and diorite overlap in U, Hf, Ti, and REE concentrations although diorites also contain a second population of high-U, high temperature grains. Andesites that brought dioritic blocks to the surface in 2006 contain zircon with young (≤9 ka) rims and a scattering of older ages, but few zircon that crystallized during the 26 ka interval. Both the Pleistocene-age rhyolite and the 2006 dioritic inclusions plot along a whole-rock compositional trend distinct from mid-Holocene–present andesites and dacites, and the diorites, rhyolite, and two early Holocene dacites define linear unmixing trends often oblique to the main andesite array and consistent with melt (rhyolite) extraction from a mush (dacites), leaving behind a cumulate amphibole-bearing residue (diorites). Rare zircon antecrysts up to ∼300 ka from all rock types indicate that a Quaternary center has been present longer than preserved surficial deposits.

","language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1002/2014GC005589","usgsCitation":"Coombs, M.L., and Vazquez, J.A., 2014, Cogenetic late Pleistocene rhyolite and cumulate diorites from Augustine Volcano revealed by SIMS 238U-230Th dating of zircon, and implications for silicic magma generation by extraction from mush: Geochemistry, Geophysics, Geosystems, v. 15, no. 12, p. 4846-4865, https://doi.org/10.1002/2014GC005589.","productDescription":"20 p.","startPage":"4846","endPage":"4865","numberOfPages":"20","ipdsId":"IP-051774","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gc005589","text":"Publisher Index Page"},{"id":348101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Augustine Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.58131408691406,\n 59.3167251017617\n ],\n [\n -153.3313751220703,\n 59.3167251017617\n ],\n [\n -153.3313751220703,\n 59.41993301322722\n ],\n [\n -153.58131408691406,\n 59.41993301322722\n ],\n [\n -153.58131408691406,\n 59.3167251017617\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-15","publicationStatus":"PW","scienceBaseUri":"59fc2eaae4b0531197b27f9d","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719707,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193633,"text":"70193633 - 2014 - Soil CO2 emissions as a proxy for heat and mass flow assessment, Taupō Volcanic Zone, New Zealand","interactions":[],"lastModifiedDate":"2017-11-02T13:24:48","indexId":"70193633","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Soil CO2 emissions as a proxy for heat and mass flow assessment, Taupō Volcanic Zone, New Zealand","title":"Soil CO2 emissions as a proxy for heat and mass flow assessment, Taupō Volcanic Zone, New Zealand","docAbstract":"

The quantification of heat and mass flow between deep reservoirs and the surface is important for understanding magmatic and hydrothermal systems. Here, we use high-resolution measurement of carbon dioxide flux (φCO2) and heat flow at the surface to characterize the mass (CO2 and steam) and heat released to the atmosphere from two magma-hydrothermal systems. Our soil gas and heat flow surveys at Rotokawa and White Island in the Taupō Volcanic Zone, New Zealand, include over 3000 direct measurements of φCO2 and soil temperature and 60 carbon isotopic values on soil gases. Carbon dioxide flux was separated into background and magmatic/hydrothermal populations based on the measured values and isotopic characterization. Total CO2 emission rates (ΣCO2) of 441 ± 84 t d−1 and 124 ± 18 t d−1were calculated for Rotokawa (2.9 km2) and for the crater floor at White Island (0.3 km2), respectively. The total CO2 emissions differ from previously published values by +386 t d−1 at Rotokawa and +25 t d−1 at White Island, demonstrating that earlier research underestimated emissions by 700% (Rotokawa) and 25% (White Island). These differences suggest that soil CO2 emissions facilitate more robust estimates of the thermal energy and mass flux in geothermal systems than traditional approaches. Combining the magmatic/hydrothermal-sourced CO2 emission (constrained using stable isotopes) with reservoir H2O:CO2mass ratios and the enthalpy of evaporation, the surface expression of thermal energy release for the Rotokawa hydrothermal system (226 MWt) is 10 times greater than the White Island crater floor (22.5 MWt).

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GC005327","usgsCitation":"Bloomberg, S., Werner, C.A., Rissmann, C., Mazot, A., Horton, T.B., Gravley, D., Kennedy, B., and Oze, C., 2014, Soil CO2 emissions as a proxy for heat and mass flow assessment, Taupō Volcanic Zone, New Zealand: Geochemistry, Geophysics, Geosystems, v. 15, no. 12, p. 4885-4904, https://doi.org/10.1002/2014GC005327.","productDescription":"20 p.","startPage":"4885","endPage":"4904","ipdsId":"IP-056695","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taupō Volcanic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 175.14404296874997,\n -39.30029918615028\n ],\n [\n 177.978515625,\n -39.30029918615028\n ],\n [\n 177.978515625,\n -36.43896124085945\n ],\n [\n 175.14404296874997,\n -36.43896124085945\n ],\n [\n 175.14404296874997,\n -39.30029918615028\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-18","publicationStatus":"PW","scienceBaseUri":"59fc2eaae4b0531197b27f9f","contributors":{"authors":[{"text":"Bloomberg, S.","contributorId":190945,"corporation":false,"usgs":false,"family":"Bloomberg","given":"S.","email":"","affiliations":[],"preferred":false,"id":719688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rissmann, C.F.","contributorId":190944,"corporation":false,"usgs":false,"family":"Rissmann","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":719689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazot, A.","contributorId":190947,"corporation":false,"usgs":false,"family":"Mazot","given":"A.","email":"","affiliations":[],"preferred":false,"id":719690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Travis B.","contributorId":193589,"corporation":false,"usgs":false,"family":"Horton","given":"Travis","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":719691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gravley, D","contributorId":199669,"corporation":false,"usgs":false,"family":"Gravley","given":"D","affiliations":[],"preferred":false,"id":719692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kennedy, B.","contributorId":191614,"corporation":false,"usgs":false,"family":"Kennedy","given":"B.","affiliations":[],"preferred":false,"id":719693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oze, C","contributorId":199670,"corporation":false,"usgs":false,"family":"Oze","given":"C","affiliations":[],"preferred":false,"id":719694,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70177808,"text":"70177808 - 2014 - Comprehensive framework for ecological assessment of the Migratory Bird Habitat Initiative following the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2016-10-21T15:29:03","indexId":"70177808","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Comprehensive framework for ecological assessment of the Migratory Bird Habitat Initiative following the Deepwater Horizon oil spill","docAbstract":"

Following the Deepwater Horizon oil spill in the Gulf of Mexico in April 2010, the USDA Natural Resources Conservation Service (NRCS) established and funded the Migratory Bird Habitat Initiative (MBHI), with the goal of improving and increasing wetland habitats on private lands to benefit wintering and migrating waterbirds displaced from oil-impacted coastal wetlands. The NRCS and conservation partners provided financial and technical assistance to landowners and managers of sites enrolled in various conservation easement programs, and incorporated approximately 190,000 ha of wetlands and agricultural lands in the Mississippi Alluvial Valley (MAV) and Gulf Coast regions in the MBHI. In fall 2010, the NRCS worked with scientists and graduate students from three universities and various conservation agencies to design and implement landscape-scale evaluations of (1) the use of MBHI-managed wetlands and comparable non-MBHI wetlands by Charadriiformes(shorebirds), Anseriformes (waterfowl), and other waterbirds; and (2) the relative effectiveness of different MBHI practices for providing habitat and food resources for migrating, resident, and wintering waterbirds. In this paper, we describe the scientific framework designed to evaluate the MBHI in improving waterbird habitats on private lands in the MAV, the Gulf Coast Prairies in Louisiana and Texas, and Gulf coastal wetlands of Mississippi and Alabama. The results of our evaluation will enhance our understanding of the influence of MBHI, other Farm Bill Conservation Initiative managed lands (e.g., Wetland Reserve Program), and selected agricultural working lands (e.g., Oryza sativa L. [Rice] fields in southern Louisiana and Texas) on wintering and migrating waterbirds. A proactive approach that uses science to evaluate governmental conservation programs is relevant and can inform development of meaningful public policy that likely will be needed for effective delivery of future conservation programs and to justify financial incentives paid to landowners to apply best management practices.

","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.013.0419","usgsCitation":"Davis, J., Webb, E.B., Kaminski, R.M., Barbour, P.J., and Vilella, F., 2014, Comprehensive framework for ecological assessment of the Migratory Bird Habitat Initiative following the Deepwater Horizon oil spill: Southeastern Naturalist, v. 13, no. 4, p. G66-G81, https://doi.org/10.1656/058.013.0419.","productDescription":"16 p.","startPage":"G66","endPage":"G81","ipdsId":"IP-053870","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5810c906e4b0f497e7973e89","contributors":{"authors":[{"text":"Davis, J. Brian","contributorId":172316,"corporation":false,"usgs":false,"family":"Davis","given":"J. Brian","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":651854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":651855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaminski, Richard M.","contributorId":78205,"corporation":false,"usgs":false,"family":"Kaminski","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":651856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Philip J.","contributorId":176199,"corporation":false,"usgs":false,"family":"Barbour","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":651857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":651848,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70150317,"text":"70150317 - 2014 - Impacts of drought and crayfish invasion on stream ecosystem structure and function","interactions":[],"lastModifiedDate":"2015-07-01T13:08:24","indexId":"70150317","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of drought and crayfish invasion on stream ecosystem structure and function","docAbstract":"

Drought and seasonal drying can be important disturbance events in many small streams, leading to intermittent or isolated habitats. Many small streams contain crayfish populations that are often keystone or dominant species in these systems. I conducted an experiment in stream mesocosms to examine the effects of drought and potential ecological redundancy of a native and invasive crayfish species. I examined the effects of drought (drought or control) and crayfish presence (none, native crayfish Orconectes eupunctus or invasive crayfish Orconectes neglectus) on stream mesocosm structure and function (leaf breakdown, community metabolism, periphyton, sediment and chironomid densities) in a fully factorial design. Each mesocosm contained a deep and shallow section, and drought treatments had surface water present (5-cm depth) in deep sections where tiles and leaf packs were placed. Drought and crayfish presence did not interact for any response variable. Drought significantly reduced leaf breakdown, and crayfish presence significantly increased leaf breakdown. However, the native and invasive crayfish species did not differ significantly in their effects on leaf breakdown. Drought significantly reduced primary production and community respiration overall, whereas crayfish presence did not significantly affect primary production and community respiration. Neither drought nor crayfish presence significantly affected periphyton overall. However, drought significantly reduced autotrophic index (AI), and crayfish presence increased AI. Inorganic sediment and chironomid density were not affected by drought, but both were significantly reduced by crayfish presence. O. eupunctus reduced AI and sediment more than O. neglectus did. Neither drought nor crayfish species significantly affected crayfish growth or survival. Drought can have strong effects on ecosystem function, but weaker effects on benthic structure. Crayfish can have strong effects on ecosystem structure and function regardless of drought. In stream mesocosms, native and invasive crayfish species appeared largely ecologically redundant, although subtle differences in crayfish effects could cascade throughout the food web, and further research is needed to address this question. 

","language":"English","publisher":"Wiley","doi":"10.1002/rra.2747","usgsCitation":"Magoulick, D.D., 2014, Impacts of drought and crayfish invasion on stream ecosystem structure and function: River Research and Applications, v. 30, no. 10, p. 1309-1317, https://doi.org/10.1002/rra.2747.","productDescription":"9 p.","startPage":"1309","endPage":"1317","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043564","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"10","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55950f31e4b0b6d21dd6cbeb","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556704,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187301,"text":"70187301 - 2014 - Hidden Markov model for dependent mark loss and survival estimation","interactions":[],"lastModifiedDate":"2017-04-27T15:03:46","indexId":"70187301","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Hidden Markov model for dependent mark loss and survival estimation","docAbstract":"

Mark-recapture estimators assume no loss of marks to provide unbiased estimates of population parameters. We describe a hidden Markov model (HMM) framework that integrates a mark loss model with a Cormack–Jolly–Seber model for survival estimation. Mark loss can be estimated with single-marked animals as long as a sub-sample of animals has a permanent mark. Double-marking provides an estimate of mark loss assuming independence but dependence can be modeled with a permanently marked sub-sample. We use a log-linear approach to include covariates for mark loss and dependence which is more flexible than existing published methods for integrated models. The HMM approach is demonstrated with a dataset of black bears (Ursus americanus) with two ear tags and a subset of which were permanently marked with tattoos. The data were analyzed with and without the tattoo. Dropping the tattoos resulted in estimates of survival that were reduced by 0.005–0.035 due to tag loss dependence that could not be modeled. We also analyzed the data with and without the tattoo using a single tag. By not using.

","language":"English","publisher":"Springer","doi":"10.1007/s13253-014-0190-1","usgsCitation":"Laake, J.L., Johnson, D., Diefenbach, D.R., and Ternent, M.A., 2014, Hidden Markov model for dependent mark loss and survival estimation: Journal of Agricultural, Biological, and Environmental Statistics, v. 19, no. 4, p. 522-538, https://doi.org/10.1007/s13253-014-0190-1.","productDescription":"17 p.","startPage":"522","endPage":"538","ipdsId":"IP-057112","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-02","publicationStatus":"PW","scienceBaseUri":"59030328e4b0e862d230f74f","contributors":{"authors":[{"text":"Laake, Jeffrey L.","contributorId":83851,"corporation":false,"usgs":false,"family":"Laake","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":693246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Devin S.","contributorId":47524,"corporation":false,"usgs":true,"family":"Johnson","given":"Devin S.","affiliations":[],"preferred":false,"id":693247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ternent, Mark A.","contributorId":150194,"corporation":false,"usgs":false,"family":"Ternent","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":693248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186700,"text":"70186700 - 2014 - Mineral resource of the month: Mica","interactions":[],"lastModifiedDate":"2017-04-07T13:02:46","indexId":"70186700","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Mica","docAbstract":"

The mica mineral group includes 34 phyllosilicate minerals, all with a layered, platy texture. The mineral has been known for millennia: Mica was first mined in India about 4,000 years ago, where it was used primarily in medicines. The Mayans used it for decorative effect in stucco to make their temples sparkle in the sun. Today it is used in everything from electrical products to makeup.

","language":"English","publisher":"AGI","usgsCitation":"Willett, J.C., 2014, Mineral resource of the month: Mica: Earth, v. December 2014, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-059831","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339414,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-mica"}],"volume":"December 2014","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63af","contributors":{"authors":[{"text":"Willett, Jason C. 0000-0002-7598-3174 jwillett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-3174","contributorId":3516,"corporation":false,"usgs":true,"family":"Willett","given":"Jason","email":"jwillett@usgs.gov","middleInitial":"C.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690314,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}